Infrared micro-spectral imaging: distinction of tissue types in axillary lymph node histology
Background Histopathologic evaluation of surgical specimens is a well established technique for disease identification, and has remained relatively unchanged since its clinical introduction. Although it is essential for clinical investigation, histopathologic identification of tissues remains a time...
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| Vydáno v: | BMC clinical pathology Ročník 8; číslo 1; s. 8 |
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| Hlavní autoři: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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London
BioMed Central
29.08.2008
BioMed Central Ltd |
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| ISSN: | 1472-6890, 1472-6890 |
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| Abstract | Background
Histopathologic evaluation of surgical specimens is a well established technique for disease identification, and has remained relatively unchanged since its clinical introduction. Although it is essential for clinical investigation, histopathologic identification of tissues remains a time consuming and subjective technique, with unsatisfactory levels of inter- and intra-observer discrepancy. A novel approach for histological recognition is to use Fourier Transform Infrared (FT-IR) micro-spectroscopy. This non-destructive optical technique can provide a rapid measurement of sample biochemistry and identify variations that occur between healthy and diseased tissues. The advantage of this method is that it is objective and provides reproducible diagnosis, independent of fatigue, experience and inter-observer variability.
Methods
We report a method for analysing excised lymph nodes that is based on spectral pathology. In spectral pathology, an unstained (fixed or snap frozen) tissue section is interrogated by a beam of infrared light that samples pixels of 25 μm × 25 μm in size. This beam is rastered over the sample, and up to 100,000 complete infrared spectra are acquired for a given tissue sample. These spectra are subsequently analysed by a diagnostic computer algorithm that is trained by correlating spectral and histopathological features.
Results
We illustrate the ability of infrared micro-spectral imaging, coupled with completely unsupervised methods of multivariate statistical analysis, to accurately reproduce the histological architecture of axillary lymph nodes. By correlating spectral and histopathological features, a diagnostic algorithm was trained that allowed both accurate and rapid classification of benign and malignant tissues composed within different lymph nodes. This approach was successfully applied to both deparaffinised and frozen tissues and indicates that both intra-operative and more conventional surgical specimens can be diagnosed by this technique.
Conclusion
This paper provides strong evidence that automated diagnosis by means of infrared micro-spectral imaging is possible. Recent investigations within the author's laboratory upon lymph nodes have also revealed that cancers from different primary tumours provide distinctly different spectral signatures. Thus poorly differentiated and hard-to-determine cases of metastatic invasion, such as micrometastases, may additionally be identified by this technique. Finally, we differentiate benign and malignant tissues composed within axillary lymph nodes by completely automated methods of spectral analysis. |
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| AbstractList | Histopathologic evaluation of surgical specimens is a well established technique for disease identification, and has remained relatively unchanged since its clinical introduction. Although it is essential for clinical investigation, histopathologic identification of tissues remains a time consuming and subjective technique, with unsatisfactory levels of inter- and intra-observer discrepancy. A novel approach for histological recognition is to use Fourier Transform Infrared (FT-IR) micro-spectroscopy. This non-destructive optical technique can provide a rapid measurement of sample biochemistry and identify variations that occur between healthy and diseased tissues. The advantage of this method is that it is objective and provides reproducible diagnosis, independent of fatigue, experience and inter-observer variability.
We report a method for analysing excised lymph nodes that is based on spectral pathology. In spectral pathology, an unstained (fixed or snap frozen) tissue section is interrogated by a beam of infrared light that samples pixels of 25 mum x 25 mum in size. This beam is rastered over the sample, and up to 100,000 complete infrared spectra are acquired for a given tissue sample. These spectra are subsequently analysed by a diagnostic computer algorithm that is trained by correlating spectral and histopathological features.
We illustrate the ability of infrared micro-spectral imaging, coupled with completely unsupervised methods of multivariate statistical analysis, to accurately reproduce the histological architecture of axillary lymph nodes. By correlating spectral and histopathological features, a diagnostic algorithm was trained that allowed both accurate and rapid classification of benign and malignant tissues composed within different lymph nodes. This approach was successfully applied to both deparaffinised and frozen tissues and indicates that both intra-operative and more conventional surgical specimens can be diagnosed by this technique.
This paper provides strong evidence that automated diagnosis by means of infrared micro-spectral imaging is possible. Recent investigations within the author's laboratory upon lymph nodes have also revealed that cancers from different primary tumours provide distinctly different spectral signatures. Thus poorly differentiated and hard-to-determine cases of metastatic invasion, such as micrometastases, may additionally be identified by this technique. Finally, we differentiate benign and malignant tissues composed within axillary lymph nodes by completely automated methods of spectral analysis. Background Histopathologic evaluation of surgical specimens is a well established technique for disease identification, and has remained relatively unchanged since its clinical introduction. Although it is essential for clinical investigation, histopathologic identification of tissues remains a time consuming and subjective technique, with unsatisfactory levels of inter- and intra-observer discrepancy. A novel approach for histological recognition is to use Fourier Transform Infrared (FT-IR) micro-spectroscopy. This non-destructive optical technique can provide a rapid measurement of sample biochemistry and identify variations that occur between healthy and diseased tissues. The advantage of this method is that it is objective and provides reproducible diagnosis, independent of fatigue, experience and inter-observer variability. Methods We report a method for analysing excised lymph nodes that is based on spectral pathology. In spectral pathology, an unstained (fixed or snap frozen) tissue section is interrogated by a beam of infrared light that samples pixels of 25 mu m 25 mu m in size. This beam is rastered over the sample, and up to 100,000 complete infrared spectra are acquired for a given tissue sample. These spectra are subsequently analysed by a diagnostic computer algorithm that is trained by correlating spectral and histopathological features. Results We illustrate the ability of infrared micro-spectral imaging, coupled with completely unsupervised methods of multivariate statistical analysis, to accurately reproduce the histological architecture of axillary lymph nodes. By correlating spectral and histopathological features, a diagnostic algorithm was trained that allowed both accurate and rapid classification of benign and malignant tissues composed within different lymph nodes. This approach was successfully applied to both deparaffinised and frozen tissues and indicates that both intra-operative and more conventional surgical specimens can be diagnosed by this technique. Conclusion This paper provides strong evidence that automated diagnosis by means of infrared micro-spectral imaging is possible. Recent investigations within the author's laboratory upon lymph nodes have also revealed that cancers from different primary tumours provide distinctly different spectral signatures. Thus poorly differentiated and hard-to-determine cases of metastatic invasion, such as micrometastases, may additionally be identified by this technique. Finally, we differentiate benign and malignant tissues composed within axillary lymph nodes by completely automated methods of spectral analysis. Background Histopathologic evaluation of surgical specimens is a well established technique for disease identification, and has remained relatively unchanged since its clinical introduction. Although it is essential for clinical investigation, histopathologic identification of tissues remains a time consuming and subjective technique, with unsatisfactory levels of inter- and intra-observer discrepancy. A novel approach for histological recognition is to use Fourier Transform Infrared (FT-IR) micro-spectroscopy. This non-destructive optical technique can provide a rapid measurement of sample biochemistry and identify variations that occur between healthy and diseased tissues. The advantage of this method is that it is objective and provides reproducible diagnosis, independent of fatigue, experience and inter-observer variability. Methods We report a method for analysing excised lymph nodes that is based on spectral pathology. In spectral pathology, an unstained (fixed or snap frozen) tissue section is interrogated by a beam of infrared light that samples pixels of 25 μm × 25 μm in size. This beam is rastered over the sample, and up to 100,000 complete infrared spectra are acquired for a given tissue sample. These spectra are subsequently analysed by a diagnostic computer algorithm that is trained by correlating spectral and histopathological features. Results We illustrate the ability of infrared micro-spectral imaging, coupled with completely unsupervised methods of multivariate statistical analysis, to accurately reproduce the histological architecture of axillary lymph nodes. By correlating spectral and histopathological features, a diagnostic algorithm was trained that allowed both accurate and rapid classification of benign and malignant tissues composed within different lymph nodes. This approach was successfully applied to both deparaffinised and frozen tissues and indicates that both intra-operative and more conventional surgical specimens can be diagnosed by this technique. Conclusion This paper provides strong evidence that automated diagnosis by means of infrared micro-spectral imaging is possible. Recent investigations within the author's laboratory upon lymph nodes have also revealed that cancers from different primary tumours provide distinctly different spectral signatures. Thus poorly differentiated and hard-to-determine cases of metastatic invasion, such as micrometastases, may additionally be identified by this technique. Finally, we differentiate benign and malignant tissues composed within axillary lymph nodes by completely automated methods of spectral analysis. Histopathologic evaluation of surgical specimens is a well established technique for disease identification, and has remained relatively unchanged since its clinical introduction. Although it is essential for clinical investigation, histopathologic identification of tissues remains a time consuming and subjective technique, with unsatisfactory levels of inter- and intra-observer discrepancy. A novel approach for histological recognition is to use Fourier Transform Infrared (FT-IR) micro-spectroscopy. This non-destructive optical technique can provide a rapid measurement of sample biochemistry and identify variations that occur between healthy and diseased tissues. The advantage of this method is that it is objective and provides reproducible diagnosis, independent of fatigue, experience and inter-observer variability.BACKGROUNDHistopathologic evaluation of surgical specimens is a well established technique for disease identification, and has remained relatively unchanged since its clinical introduction. Although it is essential for clinical investigation, histopathologic identification of tissues remains a time consuming and subjective technique, with unsatisfactory levels of inter- and intra-observer discrepancy. A novel approach for histological recognition is to use Fourier Transform Infrared (FT-IR) micro-spectroscopy. This non-destructive optical technique can provide a rapid measurement of sample biochemistry and identify variations that occur between healthy and diseased tissues. The advantage of this method is that it is objective and provides reproducible diagnosis, independent of fatigue, experience and inter-observer variability.We report a method for analysing excised lymph nodes that is based on spectral pathology. In spectral pathology, an unstained (fixed or snap frozen) tissue section is interrogated by a beam of infrared light that samples pixels of 25 mum x 25 mum in size. This beam is rastered over the sample, and up to 100,000 complete infrared spectra are acquired for a given tissue sample. These spectra are subsequently analysed by a diagnostic computer algorithm that is trained by correlating spectral and histopathological features.METHODSWe report a method for analysing excised lymph nodes that is based on spectral pathology. In spectral pathology, an unstained (fixed or snap frozen) tissue section is interrogated by a beam of infrared light that samples pixels of 25 mum x 25 mum in size. This beam is rastered over the sample, and up to 100,000 complete infrared spectra are acquired for a given tissue sample. These spectra are subsequently analysed by a diagnostic computer algorithm that is trained by correlating spectral and histopathological features.We illustrate the ability of infrared micro-spectral imaging, coupled with completely unsupervised methods of multivariate statistical analysis, to accurately reproduce the histological architecture of axillary lymph nodes. By correlating spectral and histopathological features, a diagnostic algorithm was trained that allowed both accurate and rapid classification of benign and malignant tissues composed within different lymph nodes. This approach was successfully applied to both deparaffinised and frozen tissues and indicates that both intra-operative and more conventional surgical specimens can be diagnosed by this technique.RESULTSWe illustrate the ability of infrared micro-spectral imaging, coupled with completely unsupervised methods of multivariate statistical analysis, to accurately reproduce the histological architecture of axillary lymph nodes. By correlating spectral and histopathological features, a diagnostic algorithm was trained that allowed both accurate and rapid classification of benign and malignant tissues composed within different lymph nodes. This approach was successfully applied to both deparaffinised and frozen tissues and indicates that both intra-operative and more conventional surgical specimens can be diagnosed by this technique.This paper provides strong evidence that automated diagnosis by means of infrared micro-spectral imaging is possible. Recent investigations within the author's laboratory upon lymph nodes have also revealed that cancers from different primary tumours provide distinctly different spectral signatures. Thus poorly differentiated and hard-to-determine cases of metastatic invasion, such as micrometastases, may additionally be identified by this technique. Finally, we differentiate benign and malignant tissues composed within axillary lymph nodes by completely automated methods of spectral analysis.CONCLUSIONThis paper provides strong evidence that automated diagnosis by means of infrared micro-spectral imaging is possible. Recent investigations within the author's laboratory upon lymph nodes have also revealed that cancers from different primary tumours provide distinctly different spectral signatures. Thus poorly differentiated and hard-to-determine cases of metastatic invasion, such as micrometastases, may additionally be identified by this technique. Finally, we differentiate benign and malignant tissues composed within axillary lymph nodes by completely automated methods of spectral analysis. |
| ArticleNumber | 8 |
| Audience | Academic |
| Author | Bird, Benjamin Smith, Jennifer George, Michael W Diem, Max Miljkovic, Milos Romeo, Melissa J Stone, Nicholas |
| AuthorAffiliation | 2 Biophotonics Research Group, Gloucestershire Hospitals NHS Foundation, Gloucester, UK 3 School of Chemistry, University of Nottingham, Nottingham, UK 1 Department of Chemistry and Chemical Biology, Northeastern University, Boston, USA |
| AuthorAffiliation_xml | – name: 2 Biophotonics Research Group, Gloucestershire Hospitals NHS Foundation, Gloucester, UK – name: 3 School of Chemistry, University of Nottingham, Nottingham, UK – name: 1 Department of Chemistry and Chemical Biology, Northeastern University, Boston, USA |
| Author_xml | – sequence: 1 givenname: Benjamin surname: Bird fullname: Bird, Benjamin email: benjamin_bird@hotmail.com organization: Department of Chemistry and Chemical Biology, Northeastern University – sequence: 2 givenname: Milos surname: Miljkovic fullname: Miljkovic, Milos organization: Department of Chemistry and Chemical Biology, Northeastern University – sequence: 3 givenname: Melissa J surname: Romeo fullname: Romeo, Melissa J organization: Department of Chemistry and Chemical Biology, Northeastern University – sequence: 4 givenname: Jennifer surname: Smith fullname: Smith, Jennifer organization: Biophotonics Research Group, Gloucestershire Hospitals NHS Foundation – sequence: 5 givenname: Nicholas surname: Stone fullname: Stone, Nicholas organization: Biophotonics Research Group, Gloucestershire Hospitals NHS Foundation – sequence: 6 givenname: Michael W surname: George fullname: George, Michael W organization: School of Chemistry, University of Nottingham – sequence: 7 givenname: Max surname: Diem fullname: Diem, Max organization: Department of Chemistry and Chemical Biology, Northeastern University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/18759967$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1002/cncr.20760 10.1016/j.ejso.2006.01.020 10.1016/j.bbamem.2006.05.003 10.1366/000370203321165151 10.1002/cem.993 10.1016/0920-5489(94)90017-5 10.1016/j.bbadis.2003.12.006 10.1177/153303460200100201 10.1002/bjs.1800730723 10.1039/b408934k 10.1016/j.vibspec.2005.04.003 10.1039/b304883g 10.1002/(SICI)1097-0142(19971001)80:7<1188::AID-CNCR2>3.0.CO;2-H 10.1046/j.1365-2559.1999.00667.x 10.1016/S1525-1578(10)60617-4 10.1080/01621459.1963.10500845 10.1109/AIPR.2006.37 10.1146/annurev.physchem.56.092503.141205 10.1053/ejso.2002.1347 10.1097/00000658-199709000-00006 10.1053/hupa.2001.21135 10.1016/j.ygyno.2003.12.028 10.1111/j.1600-0463.2005.apm1130102.x 10.1038/nbt1080 10.3322/canjclin.49.1.8 10.1016/j.bbamem.2006.05.004 10.1001/jama.285.11.1500 10.1007/s10103-006-0397-7 10.1007/BF02557532 10.1016/j.vibspec.2005.03.009 10.1016/j.bbamem.2006.05.015 10.1016/j.bbamem.2006.05.007 10.1016/j.bbrc.2006.11.005 10.1177/153303460300200407 10.1177/153303460200100101 10.1109/IEMBS.2006.260024 10.1177/000313480106700606 |
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| Keywords | Hierarchical Cluster Analysis Excise Lymph Node Single Beam Spectrum Medullary Cord Axillary Lymph Node |
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| References | Fabian, Thi, Eiden, Lasch, Schmitt, Naumann (CR34) 2006; 1758 Fernandez, Bhargava, Hewitt, Levin (CR31) 2005; 23 Chiriboga (CR19) 1998; 44 Walsh, Singh, Pollock, Cooper, German, Stringfellow, Fullwood, Paraskevaidis, Martin-Hirsch, Martin (CR26) 2007; 352 Das, Stone, Kendall, Fowler, Christie-Brown (CR27) 2006; 21 Turner, Ollila, Krasne, Giuliano (CR3) 1997; 226 Bhargava, Fernandez, Hewitt, Levin (CR30) 2006; 1758 Luna (CR4) 1968 Landis, Murray, Bolden, Wingo (CR1) 1999; 49 Ward (CR25) 1963; 58 Wood (CR41) 2004; 93 Emmert-Buck, Strausberg, Krizman, Bonaldo, Bonner, Bostwick, Brown, Buetow, Chuaqui, Cole, Duray, Englert, Gillespie, Greenhut, Grouse, Hillier, Katz, Klausner, Kuznetzov, Lash, Lennon, Linehan, Liotta, Marra, Munson, Ornstein, Prabhu, Prang, Schuler, Soares, Tolstoshev, Vocke, Waterston (CR9) 2000; 2 Allsbrook, Mangold, Johnson, Lane, Lane, Epstein (CR6) 2001; 32 Riedmiller (CR39) 1994; 16 Riedmiller, Braun (CR40) 1993; 1 Widjaja, Zheng, Huang (CR32) 2008; 32 Bishop (CR38) 1999 Gazi, Dwyer, Lockyer, Gardner, Vickerman, Miyan, Hart, Brown, Shanks, Clarke (CR28) 2004; 126 Zhang, Small, Haka, Kidder, Lewis (CR35) 2003; 57 Klinkhamer, Vooijs (CR10) 1989; 33 Esserman, Weidner (CR14) 1997; 3 Levin, Bhargava (CR29) 2005; 56 Romeo, Diem (CR22) 2005; 38 Grabau, Rank, Friis (CR13) 2005; 113 Dowlatshahi, Fan, Snider, Habib (CR7) 1997; 80 Kissin, Querci della Rovere, Easton, Westbury (CR2) 1986; 73 Galimberti, Veronesi, Arnone, De Cicco, Renne, Intra, Zurrida, Sacchini, Gennari, Vento, Luini, Veronesi (CR17) 2002; 9 Berman (CR24) 2006 Salem, Douglas-Jones, Sweetland, Mansel (CR12) 2006; 32 Gulec, Su, O'Leary, Stolier (CR15) 2001; 67 Lasch, Diem, Hansch, Naumann (CR37) 2006; 20 Krafft, Sobottka, Schackert, Salzer (CR45) 2004; 129 Cserni, Bianchi, Boecker, Decker, Lacerda, Rank, Wells (CR8) 2005; 103 Stohler, Schiffman (CR5) 2001; 285 Bambery, Schultke, Wood, MacDonald, Ataelmannan, Griebel, Juurlink, McNaughton (CR21) 2006; 1758 Njoroge, Alty, Gani, Alkatib (CR33) 2006; 1 Salem, Douglas-Jones, Sweetland, Mansel (CR11) 2003; 29 Van Diest, Torrenga, Borgstein, Pijpers, Bleichrodt, Rahusen, Meijer (CR16) 1999; 35 Romeo, Dukor, Diem, Diem, Chalmers, Griffiths (CR44) 2008 Schultz (CR36) 2002; 1 Lasch (CR43) 2002; 1 Amharref, Bejebbar, Dukic, Venteo, Schneider, Pluot, Vistelle, Manfait (CR20) 2006; 1758 Romeo, Diem (CR23) 2005; 38 Smith, Kendall, Sammon, Christie-Brown, Stone (CR18) 2003; 2 Lasch, Haensch, Naumann, Diem (CR42) 2004; 1688 MJ Romeo (56_CR23) 2005; 38 LG Luna (56_CR4) 1968 DC Fernandez (56_CR31) 2005; 23 BR Wood (56_CR41) 2004; 93 PJ Van Diest (56_CR16) 1999; 35 MH Stohler (56_CR5) 2001; 285 E Gazi (56_CR28) 2004; 126 N Amharref (56_CR20) 2006; 1758 M Riedmiller (56_CR39) 1994; 16 L Chiriboga (56_CR19) 1998; 44 P Lasch (56_CR37) 2006; 20 H Fabian (56_CR34) 2006; 1758 CM Bishop (56_CR38) 1999 DA Grabau (56_CR13) 2005; 113 J Smith (56_CR18) 2003; 2 R Bhargava (56_CR30) 2006; 1758 L Esserman (56_CR14) 1997; 3 MW Kissin (56_CR2) 1986; 73 M Berman (56_CR24) 2006 SH Landis (56_CR1) 1999; 49 WC Allsbrook (56_CR6) 2001; 32 JH Ward (56_CR25) 1963; 58 MJ Walsh (56_CR26) 2007; 352 K Dowlatshahi (56_CR7) 1997; 80 E Njoroge (56_CR33) 2006; 1 CP Schultz (56_CR36) 2002; 1 P Lasch (56_CR42) 2004; 1688 M Riedmiller (56_CR40) 1993 AA Salem (56_CR12) 2006; 32 MR Emmert-Buck (56_CR9) 2000; 2 P Lasch (56_CR43) 2002; 1 MJ Romeo (56_CR44) 2008 G Cserni (56_CR8) 2005; 103 KR Bambery (56_CR21) 2006; 1758 SA Gulec (56_CR15) 2001; 67 IW Levin (56_CR29) 2005; 56 AA Salem (56_CR11) 2003; 29 L Zhang (56_CR35) 2003; 57 RR Turner (56_CR3) 1997; 226 E Widjaja (56_CR32) 2008; 32 M Romeo (56_CR22) 2005; 38 C Krafft (56_CR45) 2004; 129 V Galimberti (56_CR17) 2002; 9 K Das (56_CR27) 2006; 21 PJ Klinkhamer (56_CR10) 1989; 33 |
| References_xml | – volume: 103 start-page: 358 issue: 2 year: 2005 end-page: 367 ident: CR8 article-title: Improving the reproducibility of diagnosing micrometastases and isolated tumor cells publication-title: Cancer doi: 10.1002/cncr.20760 – volume: 32 start-page: 484 issue: 5 year: 2006 end-page: 487 ident: CR12 article-title: Intraoperative evaluation of axillary sentinel lymph nodes using touch imprint cytology and immunohistochemistry. Part II. Results publication-title: Eur J Surg Oncol doi: 10.1016/j.ejso.2006.01.020 – volume: 1758 start-page: 892 issue: 7 year: 2006 end-page: 899 ident: CR20 article-title: Brain tissue characterisation by infrared imaging in a rat glioma model publication-title: Biochimica Et Biophysica Acta-Biomembranes doi: 10.1016/j.bbamem.2006.05.003 – volume: 57 start-page: 14 issue: 1 year: 2003 end-page: 22 ident: CR35 article-title: Classification of Fourier transform infrared microscopic imaging data of human breast cells by cluster analysis and artificial neural networks publication-title: Applied Spectroscopy doi: 10.1366/000370203321165151 – volume: 20 start-page: 209 issue: 5 year: 2006 end-page: 220 ident: CR37 article-title: Artificial neural networks as supervised techniques for FT-IR microspectroscopic imaging publication-title: Journal of Chemometrics doi: 10.1002/cem.993 – volume: 1 start-page: 586 year: 1993 end-page: 591 ident: CR40 publication-title: A direct adaptive method for faster backpropagation learning: the RPROP algorithm: San Francisco. – volume: 32 start-page: 653 issue: 3 year: 2008 end-page: 662 ident: CR32 article-title: Classification of colonic tissues using near-infrared Raman spectroscopy and support vector machines publication-title: International Journal of Oncology – volume: 16 start-page: 265 issue: 3 year: 1994 end-page: 278 ident: CR39 article-title: Advanced Supervised Learning in Multilayer Perceptrons - from Backpropagation to Adaptive Learning Algorithms publication-title: Computer Standards & Interfaces doi: 10.1016/0920-5489(94)90017-5 – start-page: 1 year: 2008 end-page: 25 ident: CR44 article-title: Introduction to Spectral Imaging, and Applications to Diagnosis of Lymph Nodes publication-title: Vibrational Spectroscopy for Medical Diagnosis – volume: 1 start-page: 5338 year: 2006 end-page: 5341 ident: CR33 article-title: Classification of cervical cancer cells using FTIR data publication-title: Conf Proc IEEE Eng Med Biol Soc – volume: 1688 start-page: 176 issue: 2 year: 2004 end-page: 186 ident: CR42 article-title: Imaging of colorectal adenocarcinoma using FT-IR microspectroscopy and cluster analysis publication-title: Biochim Biophys Acta doi: 10.1016/j.bbadis.2003.12.006 – volume: 1 start-page: 95 issue: 2 year: 2002 end-page: 104 ident: CR36 article-title: The Potential Role of Fourier Transform Infrared Spectroscopy and Imaging in Cancer Diagnosis Incorporating Complex Mathematical Methods publication-title: Technol Cancer Res Treat doi: 10.1177/153303460200100201 – volume: 73 start-page: 580 issue: 7 year: 1986 end-page: 584 ident: CR2 article-title: Risk of lymphoedema following the treatment of breast cancer publication-title: Br J Surg doi: 10.1002/bjs.1800730723 – volume: 129 start-page: 921 issue: 10 year: 2004 end-page: 925 ident: CR45 article-title: Analysis of human brain tissue, brain tumors and tumor cells by infrared spectroscopic mapping publication-title: The Analyst doi: 10.1039/b408934k – volume: 38 start-page: 129 issue: 1-2 year: 2005 end-page: 132 ident: CR22 article-title: Correction of dispersive line shape artifact observed in diffuse reflection infrared spectroscopy and absorption/reflection (transflection) infrared micro-spectroscopy publication-title: Vibrational Spectroscopy doi: 10.1016/j.vibspec.2005.04.003 – volume: 126 start-page: 41 year: 2004 end-page: 59 ident: CR28 article-title: The combined application of FTIR microspectroscopy and ToF-SIMS imaging in the study of prostate cancer publication-title: Faraday Discussions doi: 10.1039/b304883g – volume: 80 start-page: 1188 issue: 7 year: 1997 end-page: 1197 ident: CR7 article-title: Lymph node micrometastases from breast carcinoma - Reviewing the dilemma publication-title: Cancer doi: 10.1002/(SICI)1097-0142(19971001)80:7<1188::AID-CNCR2>3.0.CO;2-H – volume: 35 start-page: 14 issue: 1 year: 1999 end-page: 18 ident: CR16 article-title: Reliability of intraoperative frozen section and imprint cytological investigation of sentinel lymph nodes in breast cancer publication-title: Histopathology doi: 10.1046/j.1365-2559.1999.00667.x – volume: 2 start-page: 60 issue: 2 year: 2000 end-page: 66 ident: CR9 article-title: Molecular profiling of clinical tissues specimens: feasibility and applications publication-title: J Mol Diagn doi: 10.1016/S1525-1578(10)60617-4 – volume: 44 start-page: 219 issue: 1 year: 1998 end-page: 229 ident: CR19 article-title: Infrared Spectroscopy of Human Tissue. IV. Detection of Dysplastic and Neoplastic Changes of Human Cervical Tissue Via Infrared Microspectroscopy publication-title: Cellular & Molecular Biology, – volume: 58 start-page: 236 issue: 301 year: 1963 end-page: 244 ident: CR25 article-title: Hierarchical grouping to optimize an objective function publication-title: J Amer Stat Assoc doi: 10.1080/01621459.1963.10500845 – year: 2006 ident: CR24 publication-title: Some Unmixing Problems and Algorithms in Spectroscopy and Hyperspectral Imaging: Washington, DC, USA. doi: 10.1109/AIPR.2006.37 – volume: 56 start-page: 429 year: 2005 end-page: 474 ident: CR29 article-title: Fourier transform infrared vibrational spectroscopic imaging: Integrating microscopy and molecular recognition publication-title: Annual Review of Physical Chemistry doi: 10.1146/annurev.physchem.56.092503.141205 – volume: 29 start-page: 25 issue: 1 year: 2003 end-page: 28 ident: CR11 article-title: Intraoperative evaluation of axillary sentinel lymph nodes using touch imprint cytology and immunohistochemistry: I. Protocol of rapid immunostaining of touch imprints publication-title: Eur J Surg Oncol doi: 10.1053/ejso.2002.1347 – volume: 226 start-page: 271 issue: 3 year: 1997 end-page: 6; discussion 276-8 ident: CR3 article-title: Histopathologic validation of the sentinel lymph node hypothesis for breast carcinoma publication-title: Ann Surg doi: 10.1097/00000658-199709000-00006 – volume: 3 start-page: 266 issue: 5 year: 1997 end-page: 267 ident: CR14 article-title: Is routine frozen section assessment feasible in the practice environment of the 1990s? publication-title: Cancer J Sci Am – volume: 32 start-page: 81 issue: 1 year: 2001 end-page: 88 ident: CR6 article-title: Interobserver reproducibility of Gleason grading of prostatic carcinoma: General pathologists publication-title: Human Pathology doi: 10.1053/hupa.2001.21135 – volume: 33 start-page: 215 issue: 2 year: 1989 end-page: 218 ident: CR10 article-title: Intraobserver and interobserver variability in the quality assessment of cervical smears publication-title: Acta Cytol – volume: 93 start-page: 59 issue: 1 year: 2004 end-page: 68 ident: CR41 article-title: Fourier transform infrared (FTIR) spectral mapping of the cervical transformation zone, and dysplastic squamous epithelium publication-title: Gynecol Oncology doi: 10.1016/j.ygyno.2003.12.028 – volume: 113 start-page: 7 issue: 1 year: 2005 end-page: 12 ident: CR13 article-title: Intraoperative frozen section examination of axillary sentinel lymph nodes in breast cancer publication-title: Apmis doi: 10.1111/j.1600-0463.2005.apm1130102.x – volume: 23 start-page: 469 year: 2005 end-page: 474 ident: CR31 article-title: Infrared Spectroscopic Imaging for Histopatholog Recognition publication-title: Nature Biotech doi: 10.1038/nbt1080 – volume: 49 start-page: 8 issue: 1 year: 1999 end-page: 31 ident: CR1 article-title: Cancer statistics, 1999 publication-title: CA Cancer J Clin doi: 10.3322/canjclin.49.1.8 – year: 1999 ident: CR38 publication-title: Neural Networks for Pattern Recognition – volume: 1758 start-page: 900 issue: 7 year: 2006 end-page: 907 ident: CR21 article-title: A Fourier transform infrared micro spectroscopic imaging investigation into an animal model exhibiting glioblastoma multiforme publication-title: Biochimica Et Biophysica Acta-Biomembranes doi: 10.1016/j.bbamem.2006.05.004 – year: 1968 ident: CR4 publication-title: Manual of Histologic Staining Methods of the Armed Forces Institute of Pathology – volume: 285 start-page: 1500 issue: 11 year: 2001 end-page: 11505 ident: CR5 article-title: Interobserver Reproducibility of Cervical Cytologic and Histologic Interpretations publication-title: JAMA doi: 10.1001/jama.285.11.1500 – volume: 21 start-page: 192 issue: 4 year: 2006 end-page: 197 ident: CR27 article-title: Raman spectroscopy of parathyroid tissue pathology publication-title: Lasers in Medical Science doi: 10.1007/s10103-006-0397-7 – volume: 9 start-page: 924 issue: 9 year: 2002 end-page: 928 ident: CR17 article-title: Stage migration after biopsy of internal mammary chain lymph nodes in breast cancer patients publication-title: Ann Surg Oncol doi: 10.1007/BF02557532 – volume: 38 start-page: 115 year: 2005 end-page: 119 ident: CR23 article-title: Infrared spectral imaging of lymph nodes: Strategies for analysis and artifact reduction publication-title: Vibrational Spectrosc doi: 10.1016/j.vibspec.2005.03.009 – volume: 1758 start-page: 874 issue: 7 year: 2006 end-page: 882 ident: CR34 article-title: Diagnosing benign and malignant lesions in breast tissue sections by using IR-microspectroscopy publication-title: Biochimica Et Biophysica Acta-Biomembranes doi: 10.1016/j.bbamem.2006.05.015 – volume: 1758 start-page: 830 issue: 7 year: 2006 end-page: 845 ident: CR30 article-title: High throughput assessment of cells and tissues: Bayesian classification of spectral metrics from infrared vibrational spectroscopic imaging data publication-title: Biochimica Et Biophysica Acta-Biomembranes doi: 10.1016/j.bbamem.2006.05.007 – volume: 67 start-page: 529 issue: 6 year: 2001 end-page: 532 ident: CR15 article-title: Clinical utility of frozen section in sentinel node biopsy in breast cancer publication-title: Am Surg – volume: 352 start-page: 213 issue: 1 year: 2007 end-page: 219 ident: CR26 article-title: ATR microspectroscopy with multivariate analysis segregates grades of exfoliative cervical cytology publication-title: Biochemical and Biophysical Research Communications doi: 10.1016/j.bbrc.2006.11.005 – volume: 2 start-page: 327 issue: 4 year: 2003 end-page: 331 ident: CR18 article-title: Raman spectral mapping in the assessment of axillary lymph nodes in breast cancer publication-title: Technology in Cancer Research & Treatment doi: 10.1177/153303460300200407 – volume: 1 start-page: 1 issue: 1 year: 2002 end-page: 7 ident: CR43 article-title: Infrared spectroscopy of human cells and tissue: detection of disease publication-title: Technol Cancer Res Treat doi: 10.1177/153303460200100101 – volume-title: Manual of Histologic Staining Methods of the Armed Forces Institute of Pathology year: 1968 ident: 56_CR4 – volume: 38 start-page: 115 year: 2005 ident: 56_CR23 publication-title: Vibrational Spectrosc doi: 10.1016/j.vibspec.2005.03.009 – volume: 352 start-page: 213 issue: 1 year: 2007 ident: 56_CR26 publication-title: Biochemical and Biophysical Research Communications doi: 10.1016/j.bbrc.2006.11.005 – volume: 49 start-page: 8 issue: 1 year: 1999 ident: 56_CR1 publication-title: CA Cancer J Clin doi: 10.3322/canjclin.49.1.8 – volume: 1758 start-page: 830 issue: 7 year: 2006 ident: 56_CR30 publication-title: Biochimica Et Biophysica Acta-Biomembranes doi: 10.1016/j.bbamem.2006.05.007 – volume-title: Neural Networks for Pattern Recognition year: 1999 ident: 56_CR38 – volume: 113 start-page: 7 issue: 1 year: 2005 ident: 56_CR13 publication-title: Apmis doi: 10.1111/j.1600-0463.2005.apm1130102.x – volume: 38 start-page: 129 issue: 1-2 year: 2005 ident: 56_CR22 publication-title: Vibrational Spectroscopy doi: 10.1016/j.vibspec.2005.04.003 – volume: 226 start-page: 271 issue: 3 year: 1997 ident: 56_CR3 publication-title: Ann Surg doi: 10.1097/00000658-199709000-00006 – volume: 1758 start-page: 892 issue: 7 year: 2006 ident: 56_CR20 publication-title: Biochimica Et Biophysica Acta-Biomembranes doi: 10.1016/j.bbamem.2006.05.003 – volume: 2 start-page: 60 issue: 2 year: 2000 ident: 56_CR9 publication-title: J Mol Diagn doi: 10.1016/S1525-1578(10)60617-4 – volume-title: Some Unmixing Problems and Algorithms in Spectroscopy and Hyperspectral Imaging: Washington, DC, USA. year: 2006 ident: 56_CR24 doi: 10.1109/AIPR.2006.37 – volume: 80 start-page: 1188 issue: 7 year: 1997 ident: 56_CR7 publication-title: Cancer doi: 10.1002/(SICI)1097-0142(19971001)80:7<1188::AID-CNCR2>3.0.CO;2-H – volume: 1 start-page: 5338 year: 2006 ident: 56_CR33 publication-title: Conf Proc IEEE Eng Med Biol Soc doi: 10.1109/IEMBS.2006.260024 – volume: 129 start-page: 921 issue: 10 year: 2004 ident: 56_CR45 publication-title: The Analyst doi: 10.1039/b408934k – volume: 56 start-page: 429 year: 2005 ident: 56_CR29 publication-title: Annual Review of Physical Chemistry doi: 10.1146/annurev.physchem.56.092503.141205 – volume: 3 start-page: 266 issue: 5 year: 1997 ident: 56_CR14 publication-title: Cancer J Sci Am – volume: 16 start-page: 265 issue: 3 year: 1994 ident: 56_CR39 publication-title: Computer Standards & Interfaces doi: 10.1016/0920-5489(94)90017-5 – volume: 126 start-page: 41 year: 2004 ident: 56_CR28 publication-title: Faraday Discussions doi: 10.1039/b304883g – volume: 32 start-page: 484 issue: 5 year: 2006 ident: 56_CR12 publication-title: Eur J Surg Oncol doi: 10.1016/j.ejso.2006.01.020 – volume: 35 start-page: 14 issue: 1 year: 1999 ident: 56_CR16 publication-title: Histopathology doi: 10.1046/j.1365-2559.1999.00667.x – volume: 1 start-page: 95 issue: 2 year: 2002 ident: 56_CR36 publication-title: Technol Cancer Res Treat doi: 10.1177/153303460200100201 – volume: 33 start-page: 215 issue: 2 year: 1989 ident: 56_CR10 publication-title: Acta Cytol – volume: 21 start-page: 192 issue: 4 year: 2006 ident: 56_CR27 publication-title: Lasers in Medical Science doi: 10.1007/s10103-006-0397-7 – start-page: 1 volume-title: Vibrational Spectroscopy for Medical Diagnosis year: 2008 ident: 56_CR44 – volume: 9 start-page: 924 issue: 9 year: 2002 ident: 56_CR17 publication-title: Ann Surg Oncol doi: 10.1007/BF02557532 – volume: 1758 start-page: 900 issue: 7 year: 2006 ident: 56_CR21 publication-title: Biochimica Et Biophysica Acta-Biomembranes doi: 10.1016/j.bbamem.2006.05.004 – volume: 32 start-page: 81 issue: 1 year: 2001 ident: 56_CR6 publication-title: Human Pathology doi: 10.1053/hupa.2001.21135 – volume: 285 start-page: 1500 issue: 11 year: 2001 ident: 56_CR5 publication-title: JAMA doi: 10.1001/jama.285.11.1500 – volume: 44 start-page: 219 issue: 1 year: 1998 ident: 56_CR19 publication-title: Cellular & Molecular Biology, – start-page: 586 volume-title: A direct adaptive method for faster backpropagation learning: the RPROP algorithm: San Francisco. year: 1993 ident: 56_CR40 – volume: 93 start-page: 59 issue: 1 year: 2004 ident: 56_CR41 publication-title: Gynecol Oncology doi: 10.1016/j.ygyno.2003.12.028 – volume: 103 start-page: 358 issue: 2 year: 2005 ident: 56_CR8 publication-title: Cancer doi: 10.1002/cncr.20760 – volume: 1758 start-page: 874 issue: 7 year: 2006 ident: 56_CR34 publication-title: Biochimica Et Biophysica Acta-Biomembranes doi: 10.1016/j.bbamem.2006.05.015 – volume: 29 start-page: 25 issue: 1 year: 2003 ident: 56_CR11 publication-title: Eur J Surg Oncol doi: 10.1053/ejso.2002.1347 – volume: 57 start-page: 14 issue: 1 year: 2003 ident: 56_CR35 publication-title: Applied Spectroscopy doi: 10.1366/000370203321165151 – volume: 1 start-page: 1 issue: 1 year: 2002 ident: 56_CR43 publication-title: Technol Cancer Res Treat doi: 10.1177/153303460200100101 – volume: 1688 start-page: 176 issue: 2 year: 2004 ident: 56_CR42 publication-title: Biochim Biophys Acta doi: 10.1016/j.bbadis.2003.12.006 – volume: 32 start-page: 653 issue: 3 year: 2008 ident: 56_CR32 publication-title: International Journal of Oncology – volume: 73 start-page: 580 issue: 7 year: 1986 ident: 56_CR2 publication-title: Br J Surg doi: 10.1002/bjs.1800730723 – volume: 58 start-page: 236 issue: 301 year: 1963 ident: 56_CR25 publication-title: J Amer Stat Assoc doi: 10.1080/01621459.1963.10500845 – volume: 23 start-page: 469 year: 2005 ident: 56_CR31 publication-title: Nature Biotech doi: 10.1038/nbt1080 – volume: 67 start-page: 529 issue: 6 year: 2001 ident: 56_CR15 publication-title: Am Surg doi: 10.1177/000313480106700606 – volume: 20 start-page: 209 issue: 5 year: 2006 ident: 56_CR37 publication-title: Journal of Chemometrics doi: 10.1002/cem.993 – volume: 2 start-page: 327 issue: 4 year: 2003 ident: 56_CR18 publication-title: Technology in Cancer Research & Treatment doi: 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Histopathologic evaluation of surgical specimens is a well established technique for disease identification, and has remained relatively unchanged... Histopathologic evaluation of surgical specimens is a well established technique for disease identification, and has remained relatively unchanged since its... Background Histopathologic evaluation of surgical specimens is a well established technique for disease identification, and has remained relatively unchanged... |
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| SubjectTerms | Care and treatment Diagnosis Diagnostic imaging Internal Medicine Laboratory Medicine Lymph nodes Medical examination Medicine Medicine & Public Health Metastasis Methods Pathology Physiological aspects Research Article |
| Title | Infrared micro-spectral imaging: distinction of tissue types in axillary lymph node histology |
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