Literature DB >> 19343689

Investigating FTIR based histopathology for the diagnosis of prostate cancer.

Matthew J Baker1, Ehsan Gazi, Michael D Brown, Jonathan H Shanks, Noel W Clarke, Peter Gardner.   

Abstract

Prostate cancer is the most common gender specific cancer. The current gold standard for diagnosis, histopathology, is subjective and limited by variation between different pathologists. The diagnostic problems associated with the correct grading and staging of prostate cancer (CaP) has led to an interest in the development of spectroscopic based diagnostic techniques. FTIR microspectroscopy used in combination with a Principal Component Discriminant Function Analysis (PC-DFA) was applied to investigate FTIR based histopathology for the diagnosis of CaP. In this paper we report the results of a large patient study in which FTIR has been proven to grade CaP tissue specimens to a high degree of sensitivity and specificity. ((c) 2009 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim).

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Year:  2009        PMID: 19343689     DOI: 10.1002/jbio.200810062

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  17 in total

1.  Label-free characterization of cancer-activated fibroblasts using infrared spectroscopic imaging.

Authors:  S E Holton; M J Walsh; A Kajdacsy-Balla; R Bhargava
Journal:  Biophys J       Date:  2011-09-20       Impact factor: 4.033

2.  Fourier transform infrared spectroscopic imaging of wear and corrosion products within joint capsule tissue from total hip replacements patients.

Authors:  Songyun Liu; Deborah J Hall; Stephanie M McCarthy; Joshua J Jacobs; Robert M Urban; Robin Pourzal
Journal:  J Biomed Mater Res B Appl Biomater       Date:  2019-05-17       Impact factor: 3.368

3.  Characterization of tumor progression in engineered tissue using infrared spectroscopic imaging.

Authors:  Rong Kong; Rohith K Reddy; Rohit Bhargava
Journal:  Analyst       Date:  2010-05-25       Impact factor: 4.616

Review 4.  Advances in Digital Pathology: From Artificial Intelligence to Label-Free Imaging.

Authors:  Frederik Großerueschkamp; Hendrik Jütte; Klaus Gerwert; Andrea Tannapfel
Journal:  Visc Med       Date:  2021-08-24

5.  Prostate cancer histopathology using label-free multispectral deep-UV microscopy quantifies phenotypes of tumor aggressiveness and enables multiple diagnostic virtual stains.

Authors:  Soheil Soltani; Ashkan Ojaghi; Hui Qiao; Nischita Kaza; Xinyang Li; Qionghai Dai; Adeboye O Osunkoya; Francisco E Robles
Journal:  Sci Rep       Date:  2022-06-04       Impact factor: 4.996

6.  A comparison of mid-infrared spectral regions on accuracy of tissue classification.

Authors:  Shachi Mittal; Rohit Bhargava
Journal:  Analyst       Date:  2019-04-08       Impact factor: 4.616

7.  Infrared spectroscopy with multivariate analysis to interrogate endometrial tissue: a novel and objective diagnostic approach.

Authors:  S E Taylor; K T Cheung; I I Patel; J Trevisan; H F Stringfellow; K M Ashton; N J Wood; P J Keating; P L Martin-Hirsch; F L Martin
Journal:  Br J Cancer       Date:  2011-02-15       Impact factor: 7.640

8.  Evaluation of FTIR spectroscopy as a diagnostic tool for lung cancer using sputum.

Authors:  Paul D Lewis; Keir E Lewis; Robin Ghosal; Sion Bayliss; Amanda J Lloyd; John Wills; Ruth Godfrey; Philip Kloer; Luis A J Mur
Journal:  BMC Cancer       Date:  2010-11-23       Impact factor: 4.430

9.  High-definition Fourier Transform Infrared (FT-IR) spectroscopic imaging of human tissue sections towards improving pathology.

Authors:  Hari Sreedhar; Vishal K Varma; Peter L Nguyen; Bennett Davidson; Sanjeev Akkina; Grace Guzman; Suman Setty; Andre Kajdacsy-Balla; Michael J Walsh
Journal:  J Vis Exp       Date:  2015-01-21       Impact factor: 1.355

10.  Using Fourier transform IR spectroscopy to analyze biological materials.

Authors:  Matthew J Baker; Júlio Trevisan; Paul Bassan; Rohit Bhargava; Holly J Butler; Konrad M Dorling; Peter R Fielden; Simon W Fogarty; Nigel J Fullwood; Kelly A Heys; Caryn Hughes; Peter Lasch; Pierre L Martin-Hirsch; Blessing Obinaju; Ganesh D Sockalingum; Josep Sulé-Suso; Rebecca J Strong; Michael J Walsh; Bayden R Wood; Peter Gardner; Francis L Martin
Journal:  Nat Protoc       Date:  2014-07-03       Impact factor: 13.491

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