Manual kidney stone size measurements in computed tomography are most accurate using multiplanar image reformatations and bone window settings
Computed tomography in suspected urolithiasis provides information about the presence, location and size of stones. Particularly stone size is a key parameter in treatment decision; however, data on impact of reformatation and measurement strategies is sparse. This study aimed to investigate the inf...
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| Vydáno v: | Scientific reports Ročník 11; číslo 1; s. 16437 - 7 |
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| Hlavní autoři: | , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Nature Publishing Group UK
12.08.2021
Nature Publishing Group Nature Portfolio |
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| ISSN: | 2045-2322, 2045-2322 |
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| Abstract | Computed tomography in suspected urolithiasis provides information about the presence, location and size of stones. Particularly stone size is a key parameter in treatment decision; however, data on impact of reformatation and measurement strategies is sparse. This study aimed to investigate the influence of different image reformatations, slice thicknesses and window settings on stone size measurements. Reference stone sizes of 47 kidney stones representative for clinically encountered compositions were measured manually using a digital caliper (Man-M). Afterwards stones were placed in a 3D-printed, semi-anthropomorphic phantom, and scanned using a low dose protocol (CTDI
vol
2 mGy). Images were reconstructed using hybrid-iterative and model-based iterative reconstruction algorithms (HIR, MBIR) with different slice thicknesses. Two independent readers measured largest stone diameter on axial (2 mm and 5 mm) and multiplanar reformatations (based upon 0.67 mm reconstructions) using different window settings (soft-tissue and bone). Statistics were conducted using ANOVA ± correction for multiple comparisons. Overall stone size in CT was underestimated compared to Man-M (8.8 ± 2.9 vs. 7.7 ± 2.7 mm,
p
< 0.05), yet closely correlated (
r
= 0.70). Reconstruction algorithm and slice thickness did not significantly impact measurements (
p
> 0.05), while image reformatations and window settings did (
p
< 0.05). CT measurements using multiplanar reformatation with a bone window setting showed closest agreement with Man-M (8.7 ± 3.1 vs. 8.8 ± 2.9 mm,
p
< 0.05,
r
= 0.83). Manual CT-based stone size measurements are most accurate using multiplanar image reformatation with a bone window setting, while measurements on axial planes with different slice thicknesses underestimate true stone size. Therefore, this procedure is recommended when impacting treatment decision. |
|---|---|
| AbstractList | Computed tomography in suspected urolithiasis provides information about the presence, location and size of stones. Particularly stone size is a key parameter in treatment decision; however, data on impact of reformatation and measurement strategies is sparse. This study aimed to investigate the influence of different image reformatations, slice thicknesses and window settings on stone size measurements. Reference stone sizes of 47 kidney stones representative for clinically encountered compositions were measured manually using a digital caliper (Man-M). Afterwards stones were placed in a 3D-printed, semi-anthropomorphic phantom, and scanned using a low dose protocol (CTDIvol 2 mGy). Images were reconstructed using hybrid-iterative and model-based iterative reconstruction algorithms (HIR, MBIR) with different slice thicknesses. Two independent readers measured largest stone diameter on axial (2 mm and 5 mm) and multiplanar reformatations (based upon 0.67 mm reconstructions) using different window settings (soft-tissue and bone). Statistics were conducted using ANOVA ± correction for multiple comparisons. Overall stone size in CT was underestimated compared to Man-M (8.8 ± 2.9 vs. 7.7 ± 2.7 mm, p < 0.05), yet closely correlated (r = 0.70). Reconstruction algorithm and slice thickness did not significantly impact measurements (p > 0.05), while image reformatations and window settings did (p < 0.05). CT measurements using multiplanar reformatation with a bone window setting showed closest agreement with Man-M (8.7 ± 3.1 vs. 8.8 ± 2.9 mm, p < 0.05, r = 0.83). Manual CT-based stone size measurements are most accurate using multiplanar image reformatation with a bone window setting, while measurements on axial planes with different slice thicknesses underestimate true stone size. Therefore, this procedure is recommended when impacting treatment decision. Computed tomography in suspected urolithiasis provides information about the presence, location and size of stones. Particularly stone size is a key parameter in treatment decision; however, data on impact of reformatation and measurement strategies is sparse. This study aimed to investigate the influence of different image reformatations, slice thicknesses and window settings on stone size measurements. Reference stone sizes of 47 kidney stones representative for clinically encountered compositions were measured manually using a digital caliper (Man-M). Afterwards stones were placed in a 3D-printed, semi-anthropomorphic phantom, and scanned using a low dose protocol (CTDI vol 2 mGy). Images were reconstructed using hybrid-iterative and model-based iterative reconstruction algorithms (HIR, MBIR) with different slice thicknesses. Two independent readers measured largest stone diameter on axial (2 mm and 5 mm) and multiplanar reformatations (based upon 0.67 mm reconstructions) using different window settings (soft-tissue and bone). Statistics were conducted using ANOVA ± correction for multiple comparisons. Overall stone size in CT was underestimated compared to Man-M (8.8 ± 2.9 vs. 7.7 ± 2.7 mm, p < 0.05), yet closely correlated ( r = 0.70). Reconstruction algorithm and slice thickness did not significantly impact measurements ( p > 0.05), while image reformatations and window settings did ( p < 0.05). CT measurements using multiplanar reformatation with a bone window setting showed closest agreement with Man-M (8.7 ± 3.1 vs. 8.8 ± 2.9 mm, p < 0.05, r = 0.83). Manual CT-based stone size measurements are most accurate using multiplanar image reformatation with a bone window setting, while measurements on axial planes with different slice thicknesses underestimate true stone size. Therefore, this procedure is recommended when impacting treatment decision. Computed tomography in suspected urolithiasis provides information about the presence, location and size of stones. Particularly stone size is a key parameter in treatment decision; however, data on impact of reformatation and measurement strategies is sparse. This study aimed to investigate the influence of different image reformatations, slice thicknesses and window settings on stone size measurements. Reference stone sizes of 47 kidney stones representative for clinically encountered compositions were measured manually using a digital caliper (Man-M). Afterwards stones were placed in a 3D-printed, semi-anthropomorphic phantom, and scanned using a low dose protocol (CTDIvol 2 mGy). Images were reconstructed using hybrid-iterative and model-based iterative reconstruction algorithms (HIR, MBIR) with different slice thicknesses. Two independent readers measured largest stone diameter on axial (2 mm and 5 mm) and multiplanar reformatations (based upon 0.67 mm reconstructions) using different window settings (soft-tissue and bone). Statistics were conducted using ANOVA ± correction for multiple comparisons. Overall stone size in CT was underestimated compared to Man-M (8.8 ± 2.9 vs. 7.7 ± 2.7 mm, p < 0.05), yet closely correlated (r = 0.70). Reconstruction algorithm and slice thickness did not significantly impact measurements (p > 0.05), while image reformatations and window settings did (p < 0.05). CT measurements using multiplanar reformatation with a bone window setting showed closest agreement with Man-M (8.7 ± 3.1 vs. 8.8 ± 2.9 mm, p < 0.05, r = 0.83). Manual CT-based stone size measurements are most accurate using multiplanar image reformatation with a bone window setting, while measurements on axial planes with different slice thicknesses underestimate true stone size. Therefore, this procedure is recommended when impacting treatment decision. Computed tomography in suspected urolithiasis provides information about the presence, location and size of stones. Particularly stone size is a key parameter in treatment decision; however, data on impact of reformatation and measurement strategies is sparse. This study aimed to investigate the influence of different image reformatations, slice thicknesses and window settings on stone size measurements. Reference stone sizes of 47 kidney stones representative for clinically encountered compositions were measured manually using a digital caliper (Man-M). Afterwards stones were placed in a 3D-printed, semi-anthropomorphic phantom, and scanned using a low dose protocol (CTDIvol 2 mGy). Images were reconstructed using hybrid-iterative and model-based iterative reconstruction algorithms (HIR, MBIR) with different slice thicknesses. Two independent readers measured largest stone diameter on axial (2 mm and 5 mm) and multiplanar reformatations (based upon 0.67 mm reconstructions) using different window settings (soft-tissue and bone). Statistics were conducted using ANOVA ± correction for multiple comparisons. Overall stone size in CT was underestimated compared to Man-M (8.8 ± 2.9 vs. 7.7 ± 2.7 mm, p < 0.05), yet closely correlated (r = 0.70). Reconstruction algorithm and slice thickness did not significantly impact measurements (p > 0.05), while image reformatations and window settings did (p < 0.05). CT measurements using multiplanar reformatation with a bone window setting showed closest agreement with Man-M (8.7 ± 3.1 vs. 8.8 ± 2.9 mm, p < 0.05, r = 0.83). Manual CT-based stone size measurements are most accurate using multiplanar image reformatation with a bone window setting, while measurements on axial planes with different slice thicknesses underestimate true stone size. Therefore, this procedure is recommended when impacting treatment decision.Computed tomography in suspected urolithiasis provides information about the presence, location and size of stones. Particularly stone size is a key parameter in treatment decision; however, data on impact of reformatation and measurement strategies is sparse. This study aimed to investigate the influence of different image reformatations, slice thicknesses and window settings on stone size measurements. Reference stone sizes of 47 kidney stones representative for clinically encountered compositions were measured manually using a digital caliper (Man-M). Afterwards stones were placed in a 3D-printed, semi-anthropomorphic phantom, and scanned using a low dose protocol (CTDIvol 2 mGy). Images were reconstructed using hybrid-iterative and model-based iterative reconstruction algorithms (HIR, MBIR) with different slice thicknesses. Two independent readers measured largest stone diameter on axial (2 mm and 5 mm) and multiplanar reformatations (based upon 0.67 mm reconstructions) using different window settings (soft-tissue and bone). Statistics were conducted using ANOVA ± correction for multiple comparisons. Overall stone size in CT was underestimated compared to Man-M (8.8 ± 2.9 vs. 7.7 ± 2.7 mm, p < 0.05), yet closely correlated (r = 0.70). Reconstruction algorithm and slice thickness did not significantly impact measurements (p > 0.05), while image reformatations and window settings did (p < 0.05). CT measurements using multiplanar reformatation with a bone window setting showed closest agreement with Man-M (8.7 ± 3.1 vs. 8.8 ± 2.9 mm, p < 0.05, r = 0.83). Manual CT-based stone size measurements are most accurate using multiplanar image reformatation with a bone window setting, while measurements on axial planes with different slice thicknesses underestimate true stone size. Therefore, this procedure is recommended when impacting treatment decision. Computed tomography in suspected urolithiasis provides information about the presence, location and size of stones. Particularly stone size is a key parameter in treatment decision; however, data on impact of reformatation and measurement strategies is sparse. This study aimed to investigate the influence of different image reformatations, slice thicknesses and window settings on stone size measurements. Reference stone sizes of 47 kidney stones representative for clinically encountered compositions were measured manually using a digital caliper (Man-M). Afterwards stones were placed in a 3D-printed, semi-anthropomorphic phantom, and scanned using a low dose protocol (CTDI 2 mGy). Images were reconstructed using hybrid-iterative and model-based iterative reconstruction algorithms (HIR, MBIR) with different slice thicknesses. Two independent readers measured largest stone diameter on axial (2 mm and 5 mm) and multiplanar reformatations (based upon 0.67 mm reconstructions) using different window settings (soft-tissue and bone). Statistics were conducted using ANOVA ± correction for multiple comparisons. Overall stone size in CT was underestimated compared to Man-M (8.8 ± 2.9 vs. 7.7 ± 2.7 mm, p < 0.05), yet closely correlated (r = 0.70). Reconstruction algorithm and slice thickness did not significantly impact measurements (p > 0.05), while image reformatations and window settings did (p < 0.05). CT measurements using multiplanar reformatation with a bone window setting showed closest agreement with Man-M (8.7 ± 3.1 vs. 8.8 ± 2.9 mm, p < 0.05, r = 0.83). Manual CT-based stone size measurements are most accurate using multiplanar image reformatation with a bone window setting, while measurements on axial planes with different slice thicknesses underestimate true stone size. Therefore, this procedure is recommended when impacting treatment decision. Abstract Computed tomography in suspected urolithiasis provides information about the presence, location and size of stones. Particularly stone size is a key parameter in treatment decision; however, data on impact of reformatation and measurement strategies is sparse. This study aimed to investigate the influence of different image reformatations, slice thicknesses and window settings on stone size measurements. Reference stone sizes of 47 kidney stones representative for clinically encountered compositions were measured manually using a digital caliper (Man-M). Afterwards stones were placed in a 3D-printed, semi-anthropomorphic phantom, and scanned using a low dose protocol (CTDIvol 2 mGy). Images were reconstructed using hybrid-iterative and model-based iterative reconstruction algorithms (HIR, MBIR) with different slice thicknesses. Two independent readers measured largest stone diameter on axial (2 mm and 5 mm) and multiplanar reformatations (based upon 0.67 mm reconstructions) using different window settings (soft-tissue and bone). Statistics were conducted using ANOVA ± correction for multiple comparisons. Overall stone size in CT was underestimated compared to Man-M (8.8 ± 2.9 vs. 7.7 ± 2.7 mm, p < 0.05), yet closely correlated (r = 0.70). Reconstruction algorithm and slice thickness did not significantly impact measurements (p > 0.05), while image reformatations and window settings did (p < 0.05). CT measurements using multiplanar reformatation with a bone window setting showed closest agreement with Man-M (8.7 ± 3.1 vs. 8.8 ± 2.9 mm, p < 0.05, r = 0.83). Manual CT-based stone size measurements are most accurate using multiplanar image reformatation with a bone window setting, while measurements on axial planes with different slice thicknesses underestimate true stone size. Therefore, this procedure is recommended when impacting treatment decision. |
| ArticleNumber | 16437 |
| Author | Lennartz, Simon Klein, Konstantin Salem, Johannes Reimer, Robert Peter Große Hokamp, Nils Rinneburger, Miriam Zopfs, David Heidenreich, Axel Maintz, David Haneder, Stefan |
| Author_xml | – sequence: 1 givenname: Robert Peter orcidid: 0000-0002-5900-7181 surname: Reimer fullname: Reimer, Robert Peter email: robert.reimer@uk-koeln.de organization: Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne – sequence: 2 givenname: Konstantin surname: Klein fullname: Klein, Konstantin organization: Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne – sequence: 3 givenname: Miriam orcidid: 0000-0003-3980-931X surname: Rinneburger fullname: Rinneburger, Miriam organization: Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne – sequence: 4 givenname: David orcidid: 0000-0001-9978-7453 surname: Zopfs fullname: Zopfs, David organization: Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne – sequence: 5 givenname: Simon orcidid: 0000-0002-3254-4809 surname: Lennartz fullname: Lennartz, Simon organization: Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Department of Radiology, Harvard Medical School, Massachusetts General Hospital – sequence: 6 givenname: Johannes surname: Salem fullname: Salem, Johannes organization: Department of Urology, Faculty of Medicine and University Hospital Cologne, University of Cologne – sequence: 7 givenname: Axel surname: Heidenreich fullname: Heidenreich, Axel organization: Department of Urology, Faculty of Medicine and University Hospital Cologne, University of Cologne – sequence: 8 givenname: David surname: Maintz fullname: Maintz, David organization: Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne – sequence: 9 givenname: Stefan surname: Haneder fullname: Haneder, Stefan organization: Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne – sequence: 10 givenname: Nils orcidid: 0000-0001-7928-0487 surname: Große Hokamp fullname: Große Hokamp, Nils organization: Department of Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34385563$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1007/s00240-017-0995-9 10.2214/AJR.16.16940 10.1097/RCT.0000000000000811 10.1007/s00330-011-2171-x 10.1007/s00120-002-0293-0 10.1016/j.urology.2012.09.049 10.1148/radiol.2015150892 10.1016/j.urology.2010.12.009 10.1007/s00240-019-01109-1 10.1016/j.juro.2008.11.116 10.1177/001316446002000104 10.1016/j.ejrad.2020.109267 10.1007/s00330-012-2765-y 10.1016/j.urology.2014.11.021 10.1007/s10140-009-0852-4 10.2147/DMSO.S198641 10.1148/radiol.2015141287 10.1097/MOU.0000000000000572 10.1148/radiol.10100333 10.1007/s00330-020-06806-9 10.5152/dir.2019.19136 10.1016/j.juro.2016.05.090 10.1016/j.urology.2016.11.046 10.1111/j.1464-410X.2008.08069.x 10.1097/RLI.0000000000000468 |
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| References | Hokamp, Maintz, Shapira, Chang, Noël (CR29) 2020; 26 Assimos (CR3) 2016; 196 CR18 Hokamp (CR27) 2018; 53 Reimer (CR10) 2020; 132 Johnson, Horton, Fishman (CR16) 2010; 17 Willemink (CR6) 2013; 23 Chang (CR5) 2019; 12 Khan (CR1) 2017; 3 Atalay (CR14) 2018; 46 Kwon (CR23) 2015; 85 Kadihasanoglu, Marien, Miller (CR11) 2017; 102 Cohen (CR19) 1960; 20 Solomon, Mileto, Nelson, Choudhury, Samei (CR9) 2016; 279 Umbach, Müller, Wendt-Nordahl, Knoll, Jessen (CR12) 2019; 47 CR2 Eisner (CR13) 2009; 181 Lidén, Andersson, Geijer (CR22) 2011 Pan, Sidky, Vannier (CR4) 2010; 25 Van Hedent (CR26) 2018; 42 Bandi, Meiners, Pickhardt, Nakada (CR15) 2009; 103 Lazar (CR28) 2020 Nestler, Haneder, Hokamp (CR7) 2019; 29 Demehri (CR25) 2011; 258 Hyams, Bruhn, Lipkin, Shah (CR20) 2010; 24 Huang, Montoya, Shiung, Leng, McCollough (CR24) 2017; 209 Fontarensky (CR30) 2015; 276 Rogalla, Taupitz, Hamm (CR17) 2003; 42 Patel, Nakada (CR21) 2011; 78 Sohn, Clayman, Lee, Cohen, Mucksavage (CR8) 2013; 81 HA Atalay (95962_CR14) 2018; 46 T Nestler (95962_CR7) 2019; 29 M Kadihasanoglu (95962_CR11) 2017; 102 W Sohn (95962_CR8) 2013; 81 RP Reimer (95962_CR10) 2020; 132 95962_CR2 PT Johnson (95962_CR16) 2010; 17 J Cohen (95962_CR19) 1960; 20 S Demehri (95962_CR25) 2011; 258 G Bandi (95962_CR15) 2009; 103 J Solomon (95962_CR9) 2016; 279 95962_CR18 JK Kwon (95962_CR23) 2015; 85 X Pan (95962_CR4) 2010; 25 M Lazar (95962_CR28) 2020 D Assimos (95962_CR3) 2016; 196 D Chang (95962_CR5) 2019; 12 MJ Willemink (95962_CR6) 2013; 23 AE Huang (95962_CR24) 2017; 209 NG Hokamp (95962_CR27) 2018; 53 NG Hokamp (95962_CR29) 2020; 26 BH Eisner (95962_CR13) 2009; 181 R Umbach (95962_CR12) 2019; 47 ES Hyams (95962_CR20) 2010; 24 M Lidén (95962_CR22) 2011 SR Khan (95962_CR1) 2017; 3 SR Patel (95962_CR21) 2011; 78 P Rogalla (95962_CR17) 2003; 42 S Van Hedent (95962_CR26) 2018; 42 M Fontarensky (95962_CR30) 2015; 276 |
| References_xml | – volume: 46 start-page: 303 year: 2018 end-page: 309 ident: CR14 article-title: Evaluation of stone volume distribution in renal collecting system as a predictor of stone-free rate after percutaneous nephrolithotomy: A retrospective single-center study publication-title: Urolithiasis doi: 10.1007/s00240-017-0995-9 – volume: 209 start-page: 116 year: 2017 end-page: 121 ident: CR24 article-title: Consistency of renal stone volume measurements across CT scanner model and reconstruction algorithm configurations publication-title: Am. J. Roentgenol. doi: 10.2214/AJR.16.16940 – volume: 42 start-page: 912 year: 2018 end-page: 918 ident: CR26 article-title: Effect of virtual monoenergetic images from spectral detector computed tomography on coronary calcium blooming publication-title: J. Comput. Assist. Tomogr. doi: 10.1097/RCT.0000000000000811 – ident: CR18 – year: 2011 ident: CR22 article-title: Making renal stones change size —impact of CT image post processing and reader variability publication-title: Eur. Radiol. doi: 10.1007/s00330-011-2171-x – volume: 42 start-page: 187 year: 2003 end-page: 196 ident: CR17 article-title: Moderne bildgebung bei nierenerkrankungen: CT und MRT publication-title: Urol. Ausgabe A doi: 10.1007/s00120-002-0293-0 – ident: CR2 – volume: 81 start-page: 231 year: 2013 end-page: 235 ident: CR8 article-title: Low-dose and standard computed tomography scans yield equivalent stone measurements publication-title: Urology doi: 10.1016/j.urology.2012.09.049 – volume: 279 start-page: 185 year: 2016 end-page: 194 ident: CR9 article-title: Liver lesions, lung nodules, and renal stones at multi: detector row CT examinations: Dependency on radiation dose and reconstruction algorithm 1 publication-title: Radiology doi: 10.1148/radiol.2015150892 – volume: 25 start-page: 1 year: 2010 end-page: 50 ident: CR4 article-title: Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction? publication-title: Inverse Probl. – volume: 78 start-page: 282 year: 2011 end-page: 285 ident: CR21 article-title: Quantification of preoperative stone burden for ureteroscopy and shock wave lithotripsy: Current state and future recommendations publication-title: Urology doi: 10.1016/j.urology.2010.12.009 – volume: 47 start-page: 583 year: 2019 end-page: 586 ident: CR12 article-title: In-vitro comparison of different slice thicknesses and kernel settings for measurement of urinary stone size by computed tomography publication-title: Urolithiasis doi: 10.1007/s00240-019-01109-1 – volume: 181 start-page: 1710 year: 2009 end-page: 1715 ident: CR13 article-title: Computerized tomography magnified bone windows are superior to standard soft tissue windows for accurate measurement of stone size: An in vitro and clinical study publication-title: J. Urol. doi: 10.1016/j.juro.2008.11.116 – volume: 20 start-page: 37 year: 1960 end-page: 46 ident: CR19 article-title: A coefficient of agreement for nominal scales publication-title: Educ. Psychol. Meas. doi: 10.1177/001316446002000104 – volume: 132 start-page: 109267 year: 2020 ident: CR10 article-title: Size and volume of kidney stones in computed tomography: Influence of acquisition techniques and image reconstruction parameters publication-title: Eur. J. Radiol. doi: 10.1016/j.ejrad.2020.109267 – volume: 23 start-page: 1623 year: 2013 end-page: 1631 ident: CR6 article-title: Iterative reconstruction techniques for computed tomography Part 1: Technical principles publication-title: Eur. Radiol. doi: 10.1007/s00330-012-2765-y – volume: 85 start-page: 531 year: 2015 end-page: 538 ident: CR23 article-title: Computed tomography with iterative urolithiasis: Diagnostic performance and agreement between the urologist and publication-title: Urology doi: 10.1016/j.urology.2014.11.021 – volume: 17 start-page: 329 year: 2010 end-page: 333 ident: CR16 article-title: Noncontrast multidetector CT of the kidneys: Utility of 2D MPR and 3D rendering to elucidate genitourinary pathology publication-title: Emerg. Radiol. doi: 10.1007/s10140-009-0852-4 – volume: 12 start-page: 439 year: 2019 end-page: 445 ident: CR5 article-title: Low-dose computed tomography of urolithiasis in obese patients: A feasibility study to evaluate image reconstruction algorithms publication-title: Diabetes Metab. Syndr. Obes. Targets Ther. doi: 10.2147/DMSO.S198641 – volume: 3 start-page: 1 year: 2017 ident: CR1 article-title: Correction: Kidney stones publication-title: Nat. Rev. Dis. Prim. – volume: 276 start-page: 156 year: 2015 end-page: 166 ident: CR30 article-title: Reduced radiation dose with model-based iterative reconstruction versus standard dose with adaptive statistical iterative reconstruction in abdominal CT for diagnosis of acute renal colic publication-title: Radiology doi: 10.1148/radiol.2015141287 – volume: 29 start-page: 81 year: 2019 end-page: 88 ident: CR7 article-title: Modern imaging techniques in urinary stone disease publication-title: Curr. Opin. Urol. doi: 10.1097/MOU.0000000000000572 – volume: 258 start-page: 915 year: 2011 end-page: 922 ident: CR25 article-title: Quantification of urinary stone volume: attenuation threshold: Based CT method: A technical note publication-title: Radiology doi: 10.1148/radiol.10100333 – year: 2020 ident: CR28 article-title: Protocol analysis of dual-energy CT for optimization of kidney stone detection in virtual non-contrast reconstructions publication-title: Eur. Radiol. doi: 10.1007/s00330-020-06806-9 – volume: 26 start-page: 68 year: 2020 end-page: 71 ident: CR29 article-title: Technical background of a novel detector-based approach to dual-energy computed tomography publication-title: Diagnostic Interv. Radiol. doi: 10.5152/dir.2019.19136 – volume: 196 start-page: 1153 year: 2016 end-page: 1160 ident: CR3 article-title: Surgical management of stones: American urological association/endourological society guideline, PART I publication-title: J. Urol. doi: 10.1016/j.juro.2016.05.090 – volume: 102 start-page: 54 year: 2017 end-page: 60 ident: CR11 article-title: Ureteral stone diameter on computerized tomography coronal reconstructions is clinically important and under-reported publication-title: Urology doi: 10.1016/j.urology.2016.11.046 – volume: 103 start-page: 524 year: 2009 end-page: 528 ident: CR15 article-title: Stone measurement by volumetric three-dimensional computed tomography for predicting the outcome after extracorporeal shock wave lithotripsy publication-title: BJU Int. doi: 10.1111/j.1464-410X.2008.08069.x – volume: 53 start-page: 457 year: 2018 end-page: 462 ident: CR27 article-title: Low-dose characterization of kidney stones using spectral detector computed tomography: An ex vivo study publication-title: Invest. Radiol. doi: 10.1097/RLI.0000000000000468 – volume: 24 start-page: 1411 year: 2010 end-page: 1414 ident: CR20 article-title: Heterogeneity in the reporting of disease characteristics and treatment outcomes in studies evaluating treatments for nephrolithiasis publication-title: J. Urol. – volume: 25 start-page: 1 year: 2010 ident: 95962_CR4 publication-title: Inverse Probl. – volume: 3 start-page: 1 year: 2017 ident: 95962_CR1 publication-title: Nat. Rev. Dis. Prim. – volume: 24 start-page: 1411 year: 2010 ident: 95962_CR20 publication-title: J. Urol. – volume: 85 start-page: 531 year: 2015 ident: 95962_CR23 publication-title: Urology doi: 10.1016/j.urology.2014.11.021 – year: 2011 ident: 95962_CR22 publication-title: Eur. Radiol. doi: 10.1007/s00330-011-2171-x – volume: 258 start-page: 915 year: 2011 ident: 95962_CR25 publication-title: Radiology doi: 10.1148/radiol.10100333 – ident: 95962_CR18 – volume: 26 start-page: 68 year: 2020 ident: 95962_CR29 publication-title: Diagnostic Interv. Radiol. doi: 10.5152/dir.2019.19136 – volume: 46 start-page: 303 year: 2018 ident: 95962_CR14 publication-title: Urolithiasis doi: 10.1007/s00240-017-0995-9 – volume: 279 start-page: 185 year: 2016 ident: 95962_CR9 publication-title: Radiology doi: 10.1148/radiol.2015150892 – volume: 81 start-page: 231 year: 2013 ident: 95962_CR8 publication-title: Urology doi: 10.1016/j.urology.2012.09.049 – volume: 47 start-page: 583 year: 2019 ident: 95962_CR12 publication-title: Urolithiasis doi: 10.1007/s00240-019-01109-1 – ident: 95962_CR2 – volume: 20 start-page: 37 year: 1960 ident: 95962_CR19 publication-title: Educ. Psychol. Meas. doi: 10.1177/001316446002000104 – volume: 196 start-page: 1153 year: 2016 ident: 95962_CR3 publication-title: J. Urol. doi: 10.1016/j.juro.2016.05.090 – volume: 78 start-page: 282 year: 2011 ident: 95962_CR21 publication-title: Urology doi: 10.1016/j.urology.2010.12.009 – volume: 209 start-page: 116 year: 2017 ident: 95962_CR24 publication-title: Am. J. Roentgenol. doi: 10.2214/AJR.16.16940 – year: 2020 ident: 95962_CR28 publication-title: Eur. Radiol. doi: 10.1007/s00330-020-06806-9 – volume: 102 start-page: 54 year: 2017 ident: 95962_CR11 publication-title: Urology doi: 10.1016/j.urology.2016.11.046 – volume: 12 start-page: 439 year: 2019 ident: 95962_CR5 publication-title: Diabetes Metab. Syndr. Obes. Targets Ther. doi: 10.2147/DMSO.S198641 – volume: 29 start-page: 81 year: 2019 ident: 95962_CR7 publication-title: Curr. Opin. Urol. doi: 10.1097/MOU.0000000000000572 – volume: 53 start-page: 457 year: 2018 ident: 95962_CR27 publication-title: Invest. Radiol. doi: 10.1097/RLI.0000000000000468 – volume: 132 start-page: 109267 year: 2020 ident: 95962_CR10 publication-title: Eur. J. Radiol. doi: 10.1016/j.ejrad.2020.109267 – volume: 17 start-page: 329 year: 2010 ident: 95962_CR16 publication-title: Emerg. Radiol. doi: 10.1007/s10140-009-0852-4 – volume: 42 start-page: 187 year: 2003 ident: 95962_CR17 publication-title: Urol. Ausgabe A doi: 10.1007/s00120-002-0293-0 – volume: 23 start-page: 1623 year: 2013 ident: 95962_CR6 publication-title: Eur. Radiol. doi: 10.1007/s00330-012-2765-y – volume: 42 start-page: 912 year: 2018 ident: 95962_CR26 publication-title: J. Comput. Assist. Tomogr. doi: 10.1097/RCT.0000000000000811 – volume: 103 start-page: 524 year: 2009 ident: 95962_CR15 publication-title: BJU Int. doi: 10.1111/j.1464-410X.2008.08069.x – volume: 181 start-page: 1710 year: 2009 ident: 95962_CR13 publication-title: J. Urol. doi: 10.1016/j.juro.2008.11.116 – volume: 276 start-page: 156 year: 2015 ident: 95962_CR30 publication-title: Radiology doi: 10.1148/radiol.2015141287 |
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| Title | Manual kidney stone size measurements in computed tomography are most accurate using multiplanar image reformatations and bone window settings |
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