Multimodality imaging with CT, MR and FDG-PET for radiotherapy target volume delineation in oropharyngeal squamous cell carcinoma

Background This study aimed to quantify the variation in oropharyngeal squamous cell carcinoma gross tumour volume (GTV) delineation between CT, MR and FDG PET-CT imaging. Methods A prospective, single centre, pilot study was undertaken where 11 patients with locally advanced oropharyngeal cancers (...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	BMC cancer Ročník 15; číslo 1; s. 844
Hlavní autoři:	Bird, David, Scarsbrook, Andrew F., Sykes, Jonathan, Ramasamy, Satiavani, Subesinghe, Manil, Carey, Brendan, Wilson, Daniel J., Roberts, Neil, McDermott, Gary, Karakaya, Ebru, Bayman, Evrim, Sen, Mehmet, Speight, Richard, Prestwich, Robin J.D.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London BioMed Central 04.11.2015 BioMed Central Ltd Springer Nature B.V
Témata:	Adult Aged Biomedical and Life Sciences Biomedicine Cancer Cancer Research Carcinoma, Squamous Cell - diagnostic imaging Carcinoma, Squamous Cell - pathology Care and treatment Complications and side effects Consent Diagnostic imaging Female Fluorodeoxyglucose F18 - chemistry Health aspects Health Promotion and Disease Prevention Humans Magnetic Resonance Imaging - methods Male Medicine/Public Health Middle Aged Oncology Oropharyngeal Neoplasms - diagnostic imaging Oropharyngeal Neoplasms - pathology Patients Positron-Emission Tomography - methods Radiation therapy Radiotherapy Research Article Research ethics Squamous cell carcinoma Surgical Oncology Tomography Tomography, X-Ray Computed Tumors United Kingdom > UK Positron-emission tomography Computed tomography Magnetic resonance imaging Delineation Gross tumour volume Fluorodeoxyglucose F18 Head and neck squamous cell cancer Radiotherapy
ISSN:	1471-2407, 1471-2407
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Abstract	Background This study aimed to quantify the variation in oropharyngeal squamous cell carcinoma gross tumour volume (GTV) delineation between CT, MR and FDG PET-CT imaging. Methods A prospective, single centre, pilot study was undertaken where 11 patients with locally advanced oropharyngeal cancers (2 tonsil, 9 base of tongue primaries) underwent pre-treatment, contrast enhanced, FDG PET-CT and MR imaging, all performed in a radiotherapy treatment mask. CT, MR and CT-MR GTVs were contoured by 5 clinicians (2 radiologists and 3 radiation oncologists). A semi-automated segmentation algorithm was used to contour PET GTVs. Volume and positional analyses were undertaken, accounting for inter-observer variation, using linear mixed effects models and contour comparison metrics respectively. Results Significant differences in mean GTV volume were found between CT (11.9 cm 3 ) and CT-MR (14.1 cm 3 ), p < 0.006, CT-MR and PET (9.5 cm 3 ), p < 0.0009, and MR (12.7 cm 3 ) and PET, p < 0.016. Substantial differences in GTV position were found between all modalities with the exception of CT-MR and MR GTVs. A mean of 64 %, 74 % and 77 % of the PET GTVs were included within the CT, MR and CT-MR GTVs respectively. A mean of 57 % of the MR GTVs were included within the CT GTV; conversely a mean of 63 % of the CT GTVs were included within the MR GTV. CT inter-observer variability was found to be significantly higher in terms of position and/or volume than both MR and CT-MR ( p < 0.05). Significant differences in GTV volume were found between GTV volumes delineated by radiologists (9.7 cm 3 ) and oncologists (14.6 cm 3 ) for all modalities ( p = 0.001). Conclusions The use of different imaging modalities produced significantly different GTVs, with no single imaging technique encompassing all potential GTV regions. The use of MR reduced inter-observer variability. These data suggest delineation based on multimodality imaging has the potential to improve accuracy of GTV definition. Trial registration ISRCTN Registry: ISRCTN34165059 . Registered 2nd February 2015.
AbstractList	This study aimed to quantify the variation in oropharyngeal squamous cell carcinoma gross tumour volume (GTV) delineation between CT, MR and FDG PET-CT imaging. A prospective, single centre, pilot study was undertaken where 11 patients with locally advanced oropharyngeal cancers (2 tonsil, 9 base of tongue primaries) underwent pre-treatment, contrast enhanced, FDG PET-CT and MR imaging, all performed in a radiotherapy treatment mask. CT, MR and CT-MR GTVs were contoured by 5 clinicians (2 radiologists and 3 radiation oncologists). A semi-automated segmentation algorithm was used to contour PET GTVs. Volume and positional analyses were undertaken, accounting for inter-observer variation, using linear mixed effects models and contour comparison metrics respectively. Significant differences in mean GTV volume were found between CT (11.9 cm.sup.3) and CT-MR (14.1 cm.sup.3), p < 0.006, CT-MR and PET (9.5 cm.sup.3), p < 0.0009, and MR (12.7 cm.sup.3) and PET, p < 0.016. Substantial differences in GTV position were found between all modalities with the exception of CT-MR and MR GTVs. A mean of 64 %, 74 % and 77 % of the PET GTVs were included within the CT, MR and CT-MR GTVs respectively. A mean of 57 % of the MR GTVs were included within the CT GTV; conversely a mean of 63 % of the CT GTVs were included within the MR GTV. CT inter-observer variability was found to be significantly higher in terms of position and/or volume than both MR and CT-MR (p < 0.05). Significant differences in GTV volume were found between GTV volumes delineated by radiologists (9.7 cm.sup.3) and oncologists (14.6 cm.sup.3) for all modalities (p = 0.001). The use of different imaging modalities produced significantly different GTVs, with no single imaging technique encompassing all potential GTV regions. The use of MR reduced inter-observer variability. These data suggest delineation based on multimodality imaging has the potential to improve accuracy of GTV definition. BACKGROUNDThis study aimed to quantify the variation in oropharyngeal squamous cell carcinoma gross tumour volume (GTV) delineation between CT, MR and FDG PET-CT imaging.METHODSA prospective, single centre, pilot study was undertaken where 11 patients with locally advanced oropharyngeal cancers (2 tonsil, 9 base of tongue primaries) underwent pre-treatment, contrast enhanced, FDG PET-CT and MR imaging, all performed in a radiotherapy treatment mask. CT, MR and CT-MR GTVs were contoured by 5 clinicians (2 radiologists and 3 radiation oncologists). A semi-automated segmentation algorithm was used to contour PET GTVs. Volume and positional analyses were undertaken, accounting for inter-observer variation, using linear mixed effects models and contour comparison metrics respectively.RESULTSSignificant differences in mean GTV volume were found between CT (11.9 cm(3)) and CT-MR (14.1 cm(3)), p < 0.006, CT-MR and PET (9.5 cm(3)), p < 0.0009, and MR (12.7 cm(3)) and PET, p < 0.016. Substantial differences in GTV position were found between all modalities with the exception of CT-MR and MR GTVs. A mean of 64 %, 74 % and 77 % of the PET GTVs were included within the CT, MR and CT-MR GTVs respectively. A mean of 57 % of the MR GTVs were included within the CT GTV; conversely a mean of 63 % of the CT GTVs were included within the MR GTV. CT inter-observer variability was found to be significantly higher in terms of position and/or volume than both MR and CT-MR (p < 0.05). Significant differences in GTV volume were found between GTV volumes delineated by radiologists (9.7 cm(3)) and oncologists (14.6 cm(3)) for all modalities (p = 0.001).CONCLUSIONSThe use of different imaging modalities produced significantly different GTVs, with no single imaging technique encompassing all potential GTV regions. The use of MR reduced inter-observer variability. These data suggest delineation based on multimodality imaging has the potential to improve accuracy of GTV definition.TRIAL REGISTRATIONISRCTN Registry: ISRCTN34165059 . Registered 2nd February 2015. Background This study aimed to quantify the variation in oropharyngeal squamous cell carcinoma gross tumour volume (GTV) delineation between CT, MR and FDG PET-CT imaging. Methods A prospective, single centre, pilot study was undertaken where 11 patients with locally advanced oropharyngeal cancers (2 tonsil, 9 base of tongue primaries) underwent pre-treatment, contrast enhanced, FDG PET-CT and MR imaging, all performed in a radiotherapy treatment mask. CT, MR and CT-MR GTVs were contoured by 5 clinicians (2 radiologists and 3 radiation oncologists). A semi-automated segmentation algorithm was used to contour PET GTVs. Volume and positional analyses were undertaken, accounting for inter-observer variation, using linear mixed effects models and contour comparison metrics respectively. Results Significant differences in mean GTV volume were found between CT (11.9 cm 3 ) and CT-MR (14.1 cm 3 ), p < 0.006, CT-MR and PET (9.5 cm 3 ), p < 0.0009, and MR (12.7 cm 3 ) and PET, p < 0.016. Substantial differences in GTV position were found between all modalities with the exception of CT-MR and MR GTVs. A mean of 64 %, 74 % and 77 % of the PET GTVs were included within the CT, MR and CT-MR GTVs respectively. A mean of 57 % of the MR GTVs were included within the CT GTV; conversely a mean of 63 % of the CT GTVs were included within the MR GTV. CT inter-observer variability was found to be significantly higher in terms of position and/or volume than both MR and CT-MR ( p < 0.05). Significant differences in GTV volume were found between GTV volumes delineated by radiologists (9.7 cm 3 ) and oncologists (14.6 cm 3 ) for all modalities ( p = 0.001). Conclusions The use of different imaging modalities produced significantly different GTVs, with no single imaging technique encompassing all potential GTV regions. The use of MR reduced inter-observer variability. These data suggest delineation based on multimodality imaging has the potential to improve accuracy of GTV definition. Trial registration ISRCTN Registry: ISRCTN34165059 . Registered 2nd February 2015. This study aimed to quantify the variation in oropharyngeal squamous cell carcinoma gross tumour volume (GTV) delineation between CT, MR and FDG PET-CT imaging. A prospective, single centre, pilot study was undertaken where 11 patients with locally advanced oropharyngeal cancers (2 tonsil, 9 base of tongue primaries) underwent pre-treatment, contrast enhanced, FDG PET-CT and MR imaging, all performed in a radiotherapy treatment mask. CT, MR and CT-MR GTVs were contoured by 5 clinicians (2 radiologists and 3 radiation oncologists). A semi-automated segmentation algorithm was used to contour PET GTVs. Volume and positional analyses were undertaken, accounting for inter-observer variation, using linear mixed effects models and contour comparison metrics respectively. Significant differences in mean GTV volume were found between CT (11.9 cm(3)) and CT-MR (14.1 cm(3)), p < 0.006, CT-MR and PET (9.5 cm(3)), p < 0.0009, and MR (12.7 cm(3)) and PET, p < 0.016. Substantial differences in GTV position were found between all modalities with the exception of CT-MR and MR GTVs. A mean of 64 %, 74 % and 77 % of the PET GTVs were included within the CT, MR and CT-MR GTVs respectively. A mean of 57 % of the MR GTVs were included within the CT GTV; conversely a mean of 63 % of the CT GTVs were included within the MR GTV. CT inter-observer variability was found to be significantly higher in terms of position and/or volume than both MR and CT-MR (p < 0.05). Significant differences in GTV volume were found between GTV volumes delineated by radiologists (9.7 cm(3)) and oncologists (14.6 cm(3)) for all modalities (p = 0.001). The use of different imaging modalities produced significantly different GTVs, with no single imaging technique encompassing all potential GTV regions. The use of MR reduced inter-observer variability. These data suggest delineation based on multimodality imaging has the potential to improve accuracy of GTV definition. ISRCTN Registry: ISRCTN34165059 . Registered 2nd February 2015. Background This study aimed to quantify the variation in oropharyngeal squamous cell carcinoma gross tumour volume (GTV) delineation between CT, MR and FDG PET-CT imaging. Methods A prospective, single centre, pilot study was undertaken where 11 patients with locally advanced oropharyngeal cancers (2 tonsil, 9 base of tongue primaries) underwent pre-treatment, contrast enhanced, FDG PET-CT and MR imaging, all performed in a radiotherapy treatment mask. CT, MR and CT-MR GTVs were contoured by 5 clinicians (2 radiologists and 3 radiation oncologists). A semi-automated segmentation algorithm was used to contour PET GTVs. Volume and positional analyses were undertaken, accounting for inter-observer variation, using linear mixed effects models and contour comparison metrics respectively. Results Significant differences in mean GTV volume were found between CT (11.9 cm3) and CT-MR (14.1 cm3), p < 0.006, CT-MR and PET (9.5 cm3), p < 0.0009, and MR (12.7 cm3) and PET, p < 0.016. Substantial differences in GTV position were found between all modalities with the exception of CT-MR and MR GTVs. A mean of 64 %, 74 % and 77 % of the PET GTVs were included within the CT, MR and CT-MR GTVs respectively. A mean of 57 % of the MR GTVs were included within the CT GTV; conversely a mean of 63 % of the CT GTVs were included within the MR GTV. CT inter-observer variability was found to be significantly higher in terms of position and/or volume than both MR and CT-MR (p < 0.05). Significant differences in GTV volume were found between GTV volumes delineated by radiologists (9.7 cm3) and oncologists (14.6 cm3) for all modalities (p = 0.001). Conclusions The use of different imaging modalities produced significantly different GTVs, with no single imaging technique encompassing all potential GTV regions. The use of MR reduced inter-observer variability. These data suggest delineation based on multimodality imaging has the potential to improve accuracy of GTV definition. Background This study aimed to quantify the variation in oropharyngeal squamous cell carcinoma gross tumour volume (GTV) delineation between CT, MR and FDG PET-CT imaging. Methods A prospective, single centre, pilot study was undertaken where 11 patients with locally advanced oropharyngeal cancers (2 tonsil, 9 base of tongue primaries) underwent pre-treatment, contrast enhanced, FDG PET-CT and MR imaging, all performed in a radiotherapy treatment mask. CT, MR and CT-MR GTVs were contoured by 5 clinicians (2 radiologists and 3 radiation oncologists). A semi-automated segmentation algorithm was used to contour PET GTVs. Volume and positional analyses were undertaken, accounting for inter-observer variation, using linear mixed effects models and contour comparison metrics respectively. Results Significant differences in mean GTV volume were found between CT (11.9 cm.sup.3) and CT-MR (14.1 cm.sup.3), p < 0.006, CT-MR and PET (9.5 cm.sup.3), p < 0.0009, and MR (12.7 cm.sup.3) and PET, p < 0.016. Substantial differences in GTV position were found between all modalities with the exception of CT-MR and MR GTVs. A mean of 64 %, 74 % and 77 % of the PET GTVs were included within the CT, MR and CT-MR GTVs respectively. A mean of 57 % of the MR GTVs were included within the CT GTV; conversely a mean of 63 % of the CT GTVs were included within the MR GTV. CT inter-observer variability was found to be significantly higher in terms of position and/or volume than both MR and CT-MR (p < 0.05). Significant differences in GTV volume were found between GTV volumes delineated by radiologists (9.7 cm.sup.3) and oncologists (14.6 cm.sup.3) for all modalities (p = 0.001). Conclusions The use of different imaging modalities produced significantly different GTVs, with no single imaging technique encompassing all potential GTV regions. The use of MR reduced inter-observer variability. These data suggest delineation based on multimodality imaging has the potential to improve accuracy of GTV definition. Trial registration ISRCTN Registry: ISRCTN34165059. Registered 2nd February 2015. Keywords: Head and neck squamous cell cancer, Radiotherapy, Gross tumour volume, Delineation, Computed tomography, Fluorodeoxyglucose F18, Positron-emission tomography, Magnetic resonance imaging
ArticleNumber	844
Audience	Academic
Author	Prestwich, Robin J.D. Wilson, Daniel J. Bayman, Evrim Sykes, Jonathan Ramasamy, Satiavani Roberts, Neil Carey, Brendan Karakaya, Ebru McDermott, Gary Speight, Richard Bird, David Scarsbrook, Andrew F. Subesinghe, Manil Sen, Mehmet
Author_xml	– sequence: 1 givenname: David surname: Bird fullname: Bird, David organization: Department of Radiotherapy Physics, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust – sequence: 2 givenname: Andrew F. surname: Scarsbrook fullname: Scarsbrook, Andrew F. organization: Department of Nuclear Medicine, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust, Department of Clinical Radiology, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust – sequence: 3 givenname: Jonathan surname: Sykes fullname: Sykes, Jonathan organization: Department of Radiotherapy Physics, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust – sequence: 4 givenname: Satiavani surname: Ramasamy fullname: Ramasamy, Satiavani organization: Department of Clinical Oncology, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust – sequence: 5 givenname: Manil surname: Subesinghe fullname: Subesinghe, Manil organization: Department of Nuclear Medicine, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust, Department of Clinical Radiology, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust – sequence: 6 givenname: Brendan surname: Carey fullname: Carey, Brendan organization: Department of Clinical Radiology, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust – sequence: 7 givenname: Daniel J. surname: Wilson fullname: Wilson, Daniel J. organization: Department of Medical Physics, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust – sequence: 8 givenname: Neil surname: Roberts fullname: Roberts, Neil organization: Department of Radiotherapy, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust – sequence: 9 givenname: Gary surname: McDermott fullname: McDermott, Gary organization: Department of Medical Physics, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust – sequence: 10 givenname: Ebru surname: Karakaya fullname: Karakaya, Ebru organization: Department of Clinical Oncology, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust – sequence: 11 givenname: Evrim surname: Bayman fullname: Bayman, Evrim organization: Department of Clinical Oncology, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust – sequence: 12 givenname: Mehmet surname: Sen fullname: Sen, Mehmet organization: Department of Clinical Oncology, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust – sequence: 13 givenname: Richard surname: Speight fullname: Speight, Richard organization: Department of Radiotherapy Physics, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust – sequence: 14 givenname: Robin J.D. surname: Prestwich fullname: Prestwich, Robin J.D. email: Robin.Prestwich@nhs.net organization: Department of Clinical Oncology, St. James’ University Hospital, Leeds Teaching Hospitals NHS Trust
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/26530182$$D View this record in MEDLINE/PubMed
BookMark	eNp9kl9v1SAYxhsz4_7oB_DGkJgYTewEWgq9MVmO21yyRTOP14QBbVlaOAM6PZd-c6ln09NFDReF9vc89H3fZz_bsc7qLHuO4CFCrHoXEGaM5BCRPB1pzh5le6ikKMclpDtb-91sP4RrCBFlkD3JdnFFCogY3st-XIx9NINTojdxDcwgWmNb8M3EDiyWb8HFJRBWgZMPp_nn4yVonAdeKONip71YrUEUvtUR3Lp-HDRQujdWi2icBcYC592qE35tWy16EG5GMbgxAKn7HkjhpbFuEE-zx43og3529zzIvp4cLxcf8_NPp2eLo_NcVhDHvKyulCCKsUYgKouKaiLKmmiiMFKaMYproeumLipZ46KURFEkmWoapBlJ3SoOsvcb39V4NWgltY1e9HzlU81-zZ0wfP7Fmo637paXVYGLCieD13cG3t2MOkQ-mDDVIqxOZXFEC1gxktiEvnyAXrvR21ReomhdMQjL-g_Vil5zYxuX7pWTKT8qS0IYriBM1OFfqLSUHoxMgWhMej8TvJkJEhP199iKMQR-9uVyzr7aYrs0ptiFNMtpgmEOvtju3u-23ScpAXQDSO9C8Lrh0sRfSUi_a3qOIJ8yyzeZ5SmzfMosnwaDHijvzf-nwRtNSGyKl99q8D9FPwGIofxS
CitedBy_id	crossref_primary_10_1007_s00117_018_0420_6 crossref_primary_10_1016_j_prro_2021_08_007 crossref_primary_10_4103_jcrt_jcrt_266_21 crossref_primary_10_1016_j_radonc_2016_10_012 crossref_primary_10_1109_TMI_2019_2923601 crossref_primary_10_3389_fonc_2020_550096 crossref_primary_10_3389_fonc_2020_614008 crossref_primary_10_5114_pjr_2020_96156 crossref_primary_10_1259_bjr_20170590 crossref_primary_10_1088_1361_6560_abe553 crossref_primary_10_1016_j_ctro_2022_08_005 crossref_primary_10_1016_j_radonc_2023_109645 crossref_primary_10_1038_nrclinonc_2016_185 crossref_primary_10_1007_s00330_018_5511_2 crossref_primary_10_1007_s00066_018_1309_z crossref_primary_10_1007_s00259_020_05125_x crossref_primary_10_23736_S1824_4785_18_03087_X crossref_primary_10_1016_j_clon_2021_02_003 crossref_primary_10_1097_COC_0000000000001250 crossref_primary_10_1016_j_ijrobp_2022_01_050 crossref_primary_10_1088_1361_6560_acb9cf crossref_primary_10_3390_healthcare6040135 crossref_primary_10_3390_cancers14123027 crossref_primary_10_1016_j_mednuc_2020_01_132 crossref_primary_10_1002_hed_27131 crossref_primary_10_3389_fmed_2023_1217037 crossref_primary_10_1016_j_radonc_2016_07_016 crossref_primary_10_1016_j_radonc_2023_109574 crossref_primary_10_1053_j_semnuclmed_2020_07_010 crossref_primary_10_1016_j_radonc_2017_02_005 crossref_primary_10_1016_j_phro_2020_04_001 crossref_primary_10_1016_j_ijrobp_2016_03_038 crossref_primary_10_1111_vru_12584 crossref_primary_10_1016_j_mednuc_2016_01_002 crossref_primary_10_1002_jmrs_552 crossref_primary_10_1016_j_semradonc_2023_10_003 crossref_primary_10_1016_j_clon_2019_03_001 crossref_primary_10_1016_j_critrevonc_2017_12_007 crossref_primary_10_1016_j_radonc_2017_10_004 crossref_primary_10_1186_s13014_023_02326_0 crossref_primary_10_1016_j_mric_2023_08_001 crossref_primary_10_1186_s13014_017_0777_0 crossref_primary_10_1016_j_clon_2025_103911 crossref_primary_10_1111_ajco_12704 crossref_primary_10_1016_j_cpet_2025_04_001 crossref_primary_10_1016_j_ctro_2024_100837 crossref_primary_10_1111_1754_9485_12866 crossref_primary_10_3389_fvets_2023_1143986 crossref_primary_10_1002_acm2_13291
Cites_doi	10.1148/radiol.2331030660 10.1148/rg.337125163 10.1016/j.ijrobp.2011.05.004 10.1016/j.ijrobp.2003.10.032 10.1186/2191-219X-2-56 10.1016/j.ijrobp.2012.08.004 10.1159/000106036 10.1016/j.radonc.2014.06.001 10.1016/j.ijrobp.2006.10.029 10.1007/s00259-010-1423-3 10.1007/s00259-008-0875-1 10.1016/j.ijrobp.2011.05.060 10.4103/0971-6203.44472 10.1016/j.semradonc.2005.01.005 10.1016/j.clon.2012.04.002 10.1016/S0959-8049(09)70089-9 10.1109/TMI.2012.2202322 10.1007/s00259-011-1899-5 10.1016/j.ijrobp.2010.10.041 10.1259/bjr/27674581 10.2967/jnumed.109.066241 10.1016/j.ijrobp.2007.10.010 10.2307/1932409 10.1186/1748-717X-5-21 10.1016/j.radonc.2009.12.021 10.1016/j.ijrobp.2012.02.042 10.2967/jnumed.108.061499 10.1016/j.ijrobp.2006.01.014 10.1016/j.radonc.2010.07.003
ContentType	Journal Article
Copyright	Bird et al. 2015 COPYRIGHT 2015 BioMed Central Ltd. Copyright BioMed Central 2015
Copyright_xml	– notice: Bird et al. 2015 – notice: COPYRIGHT 2015 BioMed Central Ltd. – notice: Copyright BioMed Central 2015
DBID	C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM ISR 3V. 7TO 7X7 7XB 88E 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU DWQXO FYUFA GHDGH H94 K9. M0S M1P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQQKQ PQUKI PRINS 7U8 7X8 C1K JXQ 5PM
DOI	10.1186/s12885-015-1867-8
DatabaseName	Springer Nature OA Free Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Science ProQuest Central (Corporate) Oncogenes and Growth Factors Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) AIDS and Cancer Research Abstracts ProQuest Health & Medical Complete (Alumni) Health & Medical Collection (Alumni Edition) PML(ProQuest Medical Library) ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China TOXLINE MEDLINE - Academic Environmental Sciences and Pollution Management Toxline PubMed Central (Full Participant titles)
DatabaseTitle	CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database Oncogenes and Growth Factors Abstracts ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest One Health & Nursing ProQuest Central China ProQuest Central ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea Health & Medical Research Collection AIDS and Cancer Research Abstracts ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) TOXLINE MEDLINE - Academic Environmental Sciences and Pollution Management
DatabaseTitleList	TOXLINE MEDLINE Publicly Available Content Database
Database_xml	– sequence: 1 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database
DeliveryMethod	fulltext_linktorsrc
Discipline	Medicine
EISSN	1471-2407
EndPage	844
ExternalDocumentID	PMC4632362 4016134481 A445582600 26530182 10_1186_s12885_015_1867_8
Genre	Clinical Trial Journal Article
GeographicLocations	United Kingdom--UK
GeographicLocations_xml	– name: United Kingdom--UK
GroupedDBID	--- 0R~ 23N 2WC 4.4 53G 5VS 6J9 6PF 7X7 88E 8FI 8FJ AAFWJ AAJSJ AASML AAWTL ABDBF ABUWG ACGFO ACGFS ACIHN ACMJI ACPRK ACUHS ADBBV ADRAZ ADUKV AEAQA AENEX AFKRA AFPKN AHBYD AHMBA AHSBF AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS BAPOH BAWUL BCNDV BENPR BFQNJ BMC BPHCQ BVXVI C6C CCPQU CS3 DIK DU5 E3Z EAD EAP EAS EBD EBLON EBS EJD EMB EMK EMOBN ESX F5P FYUFA GROUPED_DOAJ GX1 HMCUK HYE IAO IHR IHW INH INR ISR ITC KQ8 M1P M48 M~E O5R O5S OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PJZUB PPXIY PQQKQ PROAC PSQYO PUEGO RBZ RNS ROL RPM RSV SBL SOJ SV3 TR2 TUS U2A UKHRP W2D WOQ WOW XSB AAYXX AFFHD CITATION ALIPV CGR CUY CVF ECM EIF NPM 3V. 7TO 7XB 8FK AZQEC DWQXO H94 K9. PKEHL PQEST PQUKI PRINS 7U8 7X8 C1K JXQ 5PM
ID	FETCH-LOGICAL-c602t-46bda5d88fa17c367e5a495e5d21de88729ae9f936c9234c5d71c8dff1e851183
IEDL.DBID	RSV
ISICitedReferencesCount	54
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000364116700005&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1471-2407
IngestDate	Tue Nov 04 02:00:26 EST 2025 Thu Sep 04 15:59:37 EDT 2025 Sun Nov 30 04:37:55 EST 2025 Tue Nov 11 10:57:47 EST 2025 Tue Nov 04 18:18:46 EST 2025 Thu Nov 13 16:43:00 EST 2025 Thu May 22 21:24:05 EDT 2025 Thu Apr 03 07:05:56 EDT 2025 Sat Nov 29 04:29:35 EST 2025 Tue Nov 18 22:08:38 EST 2025 Sat Sep 06 07:24:30 EDT 2025
IsDoiOpenAccess	true
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	1
Keywords	Positron-emission tomography Computed tomography Magnetic resonance imaging Delineation Gross tumour volume Fluorodeoxyglucose F18 Head and neck squamous cell cancer Radiotherapy
Language	English
License	Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c602t-46bda5d88fa17c367e5a495e5d21de88729ae9f936c9234c5d71c8dff1e851183
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23
OpenAccessLink	https://link.springer.com/10.1186/s12885-015-1867-8
PMID	26530182
PQID	1779680049
PQPubID	44074
PageCount	1
ParticipantIDs	pubmedcentral_primary_oai_pubmedcentral_nih_gov_4632362 proquest_miscellaneous_1730685236 proquest_journals_1779680049 gale_infotracmisc_A445582600 gale_infotracacademiconefile_A445582600 gale_incontextgauss_ISR_A445582600 gale_healthsolutions_A445582600 pubmed_primary_26530182 crossref_citationtrail_10_1186_s12885_015_1867_8 crossref_primary_10_1186_s12885_015_1867_8 springer_journals_10_1186_s12885_015_1867_8
PublicationCentury	2000
PublicationDate	2015-11-04
PublicationDateYYYYMMDD	2015-11-04
PublicationDate_xml	– month: 11 year: 2015 text: 2015-11-04 day: 04
PublicationDecade	2010
PublicationPlace	London
PublicationPlace_xml	– name: London – name: England
PublicationTitle	BMC cancer
PublicationTitleAbbrev	BMC Cancer
PublicationTitleAlternate	BMC Cancer
PublicationYear	2015
Publisher	BioMed Central BioMed Central Ltd Springer Nature B.V
Publisher_xml	– name: BioMed Central – name: BioMed Central Ltd – name: Springer Nature B.V
References	JS Cooper (1867_CR7) 2007; 67 A Thiagarajan (1867_CR19) 2012; 83 AS Garden (1867_CR14) 2013; 85 A Schaefer (1867_CR20) 2008; 35 1867_CR22 1867_CR23 MB David (1867_CR1) 2007; 40 A Eisbruch (1867_CR2) 2004; 59 BT West (1867_CR21) 2015 M Ahmed (1867_CR17) 2010; 94 V Gregoire (1867_CR11) 2009; 45 LR Dice (1867_CR24) 1945; 26 J Setton (1867_CR15) 2012; 82 P Bhatnagar (1867_CR9) 2013; 33 T Shepherd (1867_CR26) 2012; 31 P Cheebsumon (1867_CR33) 2012; 2 R Maroldi (1867_CR8) 1999; 82 AK Due (1867_CR13) 2014; 111 C Rasch (1867_CR4) 2005; 15 CF Njeh (1867_CR5) 2008; 33 JF Daisne (1867_CR18) 2004; 233 R Jena (1867_CR25) 2010; 83 AC Riegel (1867_CR29) 2006; 65 P Cheebsumon (1867_CR32) 2011; 38 RJ Prestwich (1867_CR10) 2012; 24 H Zaidi (1867_CR30) 2010; 37 P Tylski (1867_CR31) 2010; 51 O Warburg (1867_CR12) 1930 J Caldas-Magalhaes (1867_CR34) 2012; 82 GO Schoenfeld (1867_CR3) 2008; 71 JA Lee (1867_CR27) 2010; 96 EG Troost (1867_CR28) 2010; 51 CR Rasch (1867_CR6) 2010; 5 SA Raktoe (1867_CR16) 2013; 85 20096947 - Radiother Oncol. 2010 Feb;94(2):161-7 18164838 - Int J Radiat Oncol Biol Phys. 2008 Jun 1;71(2):377-85 20009000 - J Nucl Med. 2010 Jan;51(1):66-76 21167652 - Int J Radiat Oncol Biol Phys. 2012 Jan 1;82(1):291-8 15983939 - Semin Radiat Oncol. 2005 Jul;15(3):136-45 19893706 - J Med Phys. 2008 Oct;33(4):136-40 20080896 - J Nucl Med. 2010 Feb;51(2):268-76 20336455 - Eur J Nucl Med Mol Imaging. 2010 Nov;37(11):2165-87 17208386 - Int J Radiat Oncol Biol Phys. 2007 Mar 15;67(4):972-5 22592142 - Clin Oncol (R Coll Radiol). 2012 Oct;24(8):577-89 20708286 - Radiother Oncol. 2010 Sep;96(3):302-7 17641510 - Front Radiat Ther Oncol. 2007;40:193-207 18661128 - Eur J Nucl Med Mol Imaging. 2008 Nov;35(11):1989-99 10670171 - JBR-BTR. 1999 Dec;82(6):294-300 22975604 - Int J Radiat Oncol Biol Phys. 2013 Mar 15;85(4):941-7 19775671 - Eur J Cancer. 2009 Sep;45 Suppl 1:459-60 24993331 - Radiother Oncol. 2014 Jun;111(3):360-5 15093896 - Int J Radiat Oncol Biol Phys. 2004 May 1;59(1):28-42 21858528 - Eur J Nucl Med Mol Imaging. 2011 Dec;38(12):2136-44 23034289 - EJNMMI Res. 2012 Oct 03;2(1):56 24224586 - Radiographics. 2013 Nov-Dec;33(7):1909-29 22035663 - Int J Radiat Oncol Biol Phys. 2012 May 1;83(1):220-7 22692898 - IEEE Trans Med Imaging. 2012 Nov;31(11):2006-24 16626888 - Int J Radiat Oncol Biol Phys. 2006 Jul 1;65(3):726-32 19620177 - Br J Radiol. 2010 Jan;83(985):44-51 22541959 - Int J Radiat Oncol Biol Phys. 2013 Jan 1;85(1):136-41 20230613 - Radiat Oncol. 2010;5:21 21719209 - Int J Radiat Oncol Biol Phys. 2012 Feb 1;82(2):e289-98 15317953 - Radiology. 2004 Oct;233(1):93-100
References_xml	– volume: 233 start-page: 93 issue: 1 year: 2004 ident: 1867_CR18 publication-title: Radiology doi: 10.1148/radiol.2331030660 – volume: 33 start-page: 1909 issue: 7 year: 2013 ident: 1867_CR9 publication-title: Radiographics doi: 10.1148/rg.337125163 – volume: 82 start-page: e289 issue: 2 year: 2012 ident: 1867_CR34 publication-title: Int J Radiat Oncol Biol Phys doi: 10.1016/j.ijrobp.2011.05.004 – volume: 59 start-page: 28 issue: 1 year: 2004 ident: 1867_CR2 publication-title: Int J Radiat Oncol Biol Phys doi: 10.1016/j.ijrobp.2003.10.032 – volume: 2 start-page: 56 issue: 1 year: 2012 ident: 1867_CR33 publication-title: EJNMMI Res doi: 10.1186/2191-219X-2-56 – volume: 85 start-page: 941 issue: 4 year: 2013 ident: 1867_CR14 publication-title: Int J Radiat Oncol Biol Phys doi: 10.1016/j.ijrobp.2012.08.004 – volume: 40 start-page: 193 year: 2007 ident: 1867_CR1 publication-title: Front Radiat Ther Oncol doi: 10.1159/000106036 – volume: 111 start-page: 360 issue: 3 year: 2014 ident: 1867_CR13 publication-title: Radiother Oncol doi: 10.1016/j.radonc.2014.06.001 – ident: 1867_CR22 – volume: 67 start-page: 972 issue: 4 year: 2007 ident: 1867_CR7 publication-title: Int J Radiat Oncol Biol Phys doi: 10.1016/j.ijrobp.2006.10.029 – volume: 37 start-page: 2165 issue: 11 year: 2010 ident: 1867_CR30 publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-010-1423-3 – volume: 35 start-page: 1989 issue: 11 year: 2008 ident: 1867_CR20 publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-008-0875-1 – volume: 83 start-page: 220 issue: 1 year: 2012 ident: 1867_CR19 publication-title: Int J Radiat Oncol Biol Phys doi: 10.1016/j.ijrobp.2011.05.060 – volume: 33 start-page: 136 issue: 4 year: 2008 ident: 1867_CR5 publication-title: J Med Phys doi: 10.4103/0971-6203.44472 – volume: 15 start-page: 136 issue: 3 year: 2005 ident: 1867_CR4 publication-title: Semin Radiat Oncol doi: 10.1016/j.semradonc.2005.01.005 – volume: 24 start-page: 577 issue: 8 year: 2012 ident: 1867_CR10 publication-title: Clin Oncol (R Coll Radiol) doi: 10.1016/j.clon.2012.04.002 – volume: 45 start-page: 459 issue: Suppl 1 year: 2009 ident: 1867_CR11 publication-title: Eur J Cancer doi: 10.1016/S0959-8049(09)70089-9 – volume: 31 start-page: 2006 issue: 11 year: 2012 ident: 1867_CR26 publication-title: IEEE Trans Med Imaging doi: 10.1109/TMI.2012.2202322 – volume: 38 start-page: 2136 issue: 12 year: 2011 ident: 1867_CR32 publication-title: Eur J Nucl Med Mol Imaging doi: 10.1007/s00259-011-1899-5 – volume: 82 start-page: 291 issue: 1 year: 2012 ident: 1867_CR15 publication-title: Int J Radiat Oncol Biol Phys doi: 10.1016/j.ijrobp.2010.10.041 – volume-title: Linear mixed models: A practice guide using statistical software year: 2015 ident: 1867_CR21 – volume: 83 start-page: 44 issue: 985 year: 2010 ident: 1867_CR25 publication-title: Br J Radiol doi: 10.1259/bjr/27674581 – volume: 51 start-page: 268 issue: 2 year: 2010 ident: 1867_CR31 publication-title: J Nucl Med doi: 10.2967/jnumed.109.066241 – volume: 71 start-page: 377 issue: 2 year: 2008 ident: 1867_CR3 publication-title: Int J Radiat Oncol Biol Phys doi: 10.1016/j.ijrobp.2007.10.010 – volume: 26 start-page: 297 issue: 3 year: 1945 ident: 1867_CR24 publication-title: Ecology doi: 10.2307/1932409 – volume: 5 start-page: 21 year: 2010 ident: 1867_CR6 publication-title: Radiat Oncol doi: 10.1186/1748-717X-5-21 – volume: 82 start-page: 294 issue: 6 year: 1999 ident: 1867_CR8 publication-title: JBR-BTR – volume: 94 start-page: 161 issue: 2 year: 2010 ident: 1867_CR17 publication-title: Radiother Oncol doi: 10.1016/j.radonc.2009.12.021 – volume: 85 start-page: 136 issue: 1 year: 2013 ident: 1867_CR16 publication-title: Int J Radiat Oncol Biol Phys doi: 10.1016/j.ijrobp.2012.02.042 – volume: 51 start-page: 66 issue: 1 year: 2010 ident: 1867_CR28 publication-title: J Nucl Med doi: 10.2967/jnumed.108.061499 – ident: 1867_CR23 – volume-title: The metabolism of tumours year: 1930 ident: 1867_CR12 – volume: 65 start-page: 726 issue: 3 year: 2006 ident: 1867_CR29 publication-title: Int J Radiat Oncol Biol Phys doi: 10.1016/j.ijrobp.2006.01.014 – volume: 96 start-page: 302 issue: 3 year: 2010 ident: 1867_CR27 publication-title: Radiother Oncol doi: 10.1016/j.radonc.2010.07.003 – reference: 19893706 - J Med Phys. 2008 Oct;33(4):136-40 – reference: 19775671 - Eur J Cancer. 2009 Sep;45 Suppl 1:459-60 – reference: 20708286 - Radiother Oncol. 2010 Sep;96(3):302-7 – reference: 21167652 - Int J Radiat Oncol Biol Phys. 2012 Jan 1;82(1):291-8 – reference: 22692898 - IEEE Trans Med Imaging. 2012 Nov;31(11):2006-24 – reference: 24993331 - Radiother Oncol. 2014 Jun;111(3):360-5 – reference: 18164838 - Int J Radiat Oncol Biol Phys. 2008 Jun 1;71(2):377-85 – reference: 17208386 - Int J Radiat Oncol Biol Phys. 2007 Mar 15;67(4):972-5 – reference: 20336455 - Eur J Nucl Med Mol Imaging. 2010 Nov;37(11):2165-87 – reference: 20080896 - J Nucl Med. 2010 Feb;51(2):268-76 – reference: 16626888 - Int J Radiat Oncol Biol Phys. 2006 Jul 1;65(3):726-32 – reference: 21858528 - Eur J Nucl Med Mol Imaging. 2011 Dec;38(12):2136-44 – reference: 24224586 - Radiographics. 2013 Nov-Dec;33(7):1909-29 – reference: 10670171 - JBR-BTR. 1999 Dec;82(6):294-300 – reference: 15983939 - Semin Radiat Oncol. 2005 Jul;15(3):136-45 – reference: 21719209 - Int J Radiat Oncol Biol Phys. 2012 Feb 1;82(2):e289-98 – reference: 20096947 - Radiother Oncol. 2010 Feb;94(2):161-7 – reference: 19620177 - Br J Radiol. 2010 Jan;83(985):44-51 – reference: 23034289 - EJNMMI Res. 2012 Oct 03;2(1):56 – reference: 20230613 - Radiat Oncol. 2010;5:21 – reference: 22541959 - Int J Radiat Oncol Biol Phys. 2013 Jan 1;85(1):136-41 – reference: 18661128 - Eur J Nucl Med Mol Imaging. 2008 Nov;35(11):1989-99 – reference: 17641510 - Front Radiat Ther Oncol. 2007;40:193-207 – reference: 22592142 - Clin Oncol (R Coll Radiol). 2012 Oct;24(8):577-89 – reference: 15317953 - Radiology. 2004 Oct;233(1):93-100 – reference: 22975604 - Int J Radiat Oncol Biol Phys. 2013 Mar 15;85(4):941-7 – reference: 15093896 - Int J Radiat Oncol Biol Phys. 2004 May 1;59(1):28-42 – reference: 20009000 - J Nucl Med. 2010 Jan;51(1):66-76 – reference: 22035663 - Int J Radiat Oncol Biol Phys. 2012 May 1;83(1):220-7
SSID	ssj0017808
Score	2.3848705
Snippet	Background This study aimed to quantify the variation in oropharyngeal squamous cell carcinoma gross tumour volume (GTV) delineation between CT, MR and FDG... This study aimed to quantify the variation in oropharyngeal squamous cell carcinoma gross tumour volume (GTV) delineation between CT, MR and FDG PET-CT... Background This study aimed to quantify the variation in oropharyngeal squamous cell carcinoma gross tumour volume (GTV) delineation between CT, MR and FDG... BACKGROUNDThis study aimed to quantify the variation in oropharyngeal squamous cell carcinoma gross tumour volume (GTV) delineation between CT, MR and FDG...
SourceID	pubmedcentral proquest gale pubmed crossref springer
SourceType	Open Access Repository Aggregation Database Index Database Enrichment Source Publisher
StartPage	844
SubjectTerms	Adult Aged Biomedical and Life Sciences Biomedicine Cancer Cancer Research Carcinoma, Squamous Cell - diagnostic imaging Carcinoma, Squamous Cell - pathology Care and treatment Complications and side effects Consent Diagnostic imaging Female Fluorodeoxyglucose F18 - chemistry Health aspects Health Promotion and Disease Prevention Humans Magnetic Resonance Imaging - methods Male Medicine/Public Health Middle Aged Oncology Oropharyngeal Neoplasms - diagnostic imaging Oropharyngeal Neoplasms - pathology Patients Positron-Emission Tomography - methods Radiation therapy Radiotherapy Research Article Research ethics Squamous cell carcinoma Surgical Oncology Tomography Tomography, X-Ray Computed Tumors
SummonAdditionalLinks	– databaseName: Publicly Available Content Database dbid: PIMPY link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LbxMxELYgRYgL70eggEFISICVfdhe54Sq0kAPqaJSpHKyHNtLI5HdNJsg9cg_Z2bXWbqR6InbSh5b9s7489jzIuSN8iqVoLiyqRM548JI-MpT5iNp3TQWKrF5XWwiOzpSp6fDSQiProJb5QYTa6Busj2j3zaA8MCVFl_MB3GWDaVC9fbj4pxhDSm0tYaCGtfJDibeinpkZ3I4nnxvrQqZilSwbMZKDirAZoWua4JhWjemOmfTNkJfOqK23Se3bKj10TS6838XdZfcDioq3Wtk6h655ov75OY4GOEfkN910O68dLUKT2fzutARxRddun_ygY6PqSkcHX36zCYHJxS0Yro0bhZCvS5o43xOG1ykDgPiG8WVzgpaLsvFmVlewDphDtX52uDbBEX7ArVY96go5-Yh-TY6ONn_wkIlB2ZllKwYl1NnhFMqN3FmU5l5YeBm5oVLYucB5xLMEZ4PU2lB4eRWuCy2yuV57FEjVOkj0ivKwj8hFIbhaWoFz13MpwpGyaZcKDMUkcfqNX0SbXiobUhzjtU2fur6uqOkbtiuge0a2a6hy7u2y6LJ8XEV8UsUDN2Eqbb4oPc4FyDZoD_2yeuaArNrFOi-88Osq0offj3uEL0NRHkJ07MmREPAIjEhV4dyt0MJ2992mzeipQP8VPqvJPXJq7YZe6JLXeGBcUADt0UlklT2yeNGoNvVJ1IA8KukT7KOqLcEmJS821LMzurk5FymMCT0fL_ZFJem9a-f-vTqRTwjt5J6l8Ys4rukt1qu_XNyw_5azarli7DL_wBCsGGF priority: 102 providerName: ProQuest
Title	Multimodality imaging with CT, MR and FDG-PET for radiotherapy target volume delineation in oropharyngeal squamous cell carcinoma
URI	https://link.springer.com/article/10.1186/s12885-015-1867-8 https://www.ncbi.nlm.nih.gov/pubmed/26530182 https://www.proquest.com/docview/1779680049 https://www.proquest.com/docview/1730685236 https://pubmed.ncbi.nlm.nih.gov/PMC4632362
Volume	15
WOSCitedRecordID	wos000364116700005&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVADU databaseName: Open Access: BioMedCentral Open Access Titles customDbUrl: eissn: 1471-2407 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017808 issn: 1471-2407 databaseCode: RBZ dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.biomedcentral.com/search/ providerName: BioMedCentral – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1471-2407 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017808 issn: 1471-2407 databaseCode: DOA dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1471-2407 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017808 issn: 1471-2407 databaseCode: M~E dateStart: 20010101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1471-2407 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017808 issn: 1471-2407 databaseCode: 7X7 dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1471-2407 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017808 issn: 1471-2407 databaseCode: BENPR dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1471-2407 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017808 issn: 1471-2407 databaseCode: PIMPY dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVAVX databaseName: SpringerLink customDbUrl: eissn: 1471-2407 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017808 issn: 1471-2407 databaseCode: RSV dateStart: 20011201 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3LjtMw0GJ3EeLC-1FYikFISEBEHn71uCwt7KFV1S2onCzXTthKNFmaFmmP_DkzThptKkCCS5TIM5Zjz4zHnhchL1SqEgGKazB3PAsYNwLesiRIQ2HdPOIqtpkvNiFHIzWb9cZ1HHe59XbfmiS9pPZsrcTbEiSpQkczHmAStkDtkQOOyWbwiH76uTEdSBWq2nz5W7TWBrQrhi_tQ7s-kjuGUr__DG7-18hvkRu1ukmPKvq4Ta6k-R1ybVgb1O-Snz4Ad1k4r47TxdIXLaJ4O0uPp2_ocEJN7ujg_Ydg3J9S0HDpyrhFHbZ1QStHclrJOOowuL1SQukip8WqOD8zqwsYKoyh_L4xeM9A0VZALdYwyouluUc-DfrT449BXZUhsCKM1wETc2e4UyozkbSJkCk3cMpKuYsjl4LMijHfd9ZLhAXlkVnuZGSVy7IoRe1OJffJfl7k6UNCoRuWJJazzEVsrqAXOWdcmR4PU6xE0yHhdqm0rVOWY-WMb9ofXZTQ1dRqmFqNU6sB5VWDcl7l6_gb8FNcf12FnDa8ro8Y40CloAt2yHMPgZkycnTF-Wo2ZalPTictoJc1UFbA8KypIxvgJzG5VgvysAUJrGzbzVtC1LUoKXUkZU8oPMl1yLOmGTHRPS5PYeEABk5-iseJ6JAHFd02fx8LDkJcxR0iWxTdAGCC8XZLvjjzicaZSKBLwHy9petLw_rTpD76J-jH5HrsGSMKQnZI9terTfqEXLU_1oty1SV7cib9U3XJwbv-aDzp-lsT-BqfDMdfup73fwGV8VBA
linkProvider	Springer Nature
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1R3JbhMx1CopAi7sS6BQg0BIwKiz2eMcEKrahkZtqqgEqZyMY3toJDKTZhJQjvwQ38h7s9GJRG89cBvJz5bteavfRshLYUXAQXF1RobFTsgUh684cKzLtRl5TPg6zptNREdH4uSkM1gjv6tcGAyrrHhizqhNqvGNfMuLog4XqNB-mJ452DUKvatVC40CLQ7s8ieYbNn73i7831e-390b7uw7ZVcBR3PXnzshHxnFjBCx8iId8MgyBVaCZcb3jAWa87FeddwJuAblJ9TMRJ4WJo49i9qJCGDdK2Q9BGR3W2R90OsPvtR-i0i4ovSdeoJvZcD9BQbHMQcLxzmiIf1WZcA5IbgaoLnipc2FX_fW_3Ztt8nNUs2m2wVd3CFrNrlLrvXLQIJ75FeeeDxJTW6G0PEkb9ZE8VWa7gzf0f4xVYmh3d2PzmBvSEGzpzNlxmW62pIWAfS04O3UYFJ_oXzTcULTWTo9VbMl3CTsITtbKHxfoegjoRp7NyXpRN0nny_lAh6QVpIm9hGhsEwYBJqFsfHCkYBVolHIhOow12IHnjZxKyyRuizVjh1DvsvcZBNcFoglAbEkIpaEKW_qKdOiTslFwJuIerJIta15nNwOQwbUCTpwm7zIIbBCSIIhSN_UIstk79NxA-h1CRSnsD2tyowOOCQWFWtAbjQggYXp5nCFvLJkoZn8i7lt8rwexpkYFphY-HEAAxavYH7A2-RhQTL16X3OQHgJv02iBjHVAFhYvTmSjE_zAushD2BJmPm2Irtz2_rXpT6--BCb5Pr-sH8oD3tHB0_IDT_nCZ7jhhukNZ8t7FNyVf-Yj7PZs5KnUPL1sunxD31Esxw
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpR1raxQxMGiV4hffj9NqowiCdek-kmzuY2l7WrTHcT2l30I2ydoDb_fcvRP60X_uzL7oHiqI3xYyE5LZyWQm8yLktXQyEqC4eonlqce4FvCVRp7zhbFJwGVo0qrZRDwey_Pz4aTpc1q20e6tS7LOacAqTdlqf2nT-ohLsV-CVJUYdMY9LMjmyevkBgNDBmO6pmdfOjdCLH3ZuDJ_i9a7jDZF8pU7aTNecsNpWt1Fozv_vYu75HajhtKDmm_ukWsuu0-2TxtH-wPys0rMXeS2UtPpfFE1M6L4aksPZ-_o6ZTqzNLR0XtvcjyjoPnSQtt5k851SesAc1rLPmox6b1WTuk8o3mRLy90cQnLhjWU39ca3x8o-hCowd5GWb7QD8nn0fHs8IPXdGvwjPDDlcdEYjW3UqY6iE0kYsc1WF-O2zCwDmRZiHXA02EkDCiVzHAbB0baNA0can0yekS2sjxzTwiFaVgUGc5SG7BEwixxwrjUQ-477FAzIH7725RpSpljR41vqjJppFA1aRWQViFpFaC87VCWdR2PvwHvIi-oOhW1kwHqgDEO3As64oC8qiCwgkaGITpf9bos1cnZtAf0pgFKc1ie0U3GA2wSi271IHd6kHDETX-4ZUrViJhSBXE8FBItvAF52Q0jJobNZQ5-HMCARSh5GIkBeVzzcLf7UHAQ7jIckLjH3R0AFh7vj2Tzi6oAORMRTAmYey2PX1nWn4j69J-gd8n25GikPp2MPz4jt8LqjASez3bI1qpYu-fkpvmxmpfFi-rA_wJnz1X4
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Multimodality+imaging+with+CT%2C+MR+and+FDG-PET+for+radiotherapy+target+volume+delineation+in+oropharyngeal+squamous+cell+carcinoma&rft.jtitle=BMC+cancer&rft.au=Bird%2C+David&rft.au=Scarsbrook%2C+Andrew+F.&rft.au=Sykes%2C+Jonathan&rft.au=Ramasamy%2C+Satiavani&rft.date=2015-11-04&rft.pub=BioMed+Central&rft.eissn=1471-2407&rft.volume=15&rft_id=info:doi/10.1186%2Fs12885-015-1867-8&rft_id=info%3Apmid%2F26530182&rft.externalDocID=PMC4632362
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-2407&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-2407&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-2407&client=summon