Rapid infrared mapping for highly accurate automated histology in Barrett's oesophagus.

2.50
Hdl Handle:
http://hdl.handle.net/11287/620050
Title:
Rapid infrared mapping for highly accurate automated histology in Barrett's oesophagus.
Authors:
Old, O J; Lloyd, G R; Nallala, J; Isabelle, M; Almond, L M; Shepherd, N A; Kendall, C A; Shore, Angela ( 0000-0003-3039-308x ) ; Barr, H; Stone, Nick
Abstract:
Barrett's oesophagus (BE) is a premalignant condition that can progress to oesophageal adenocarcinoma. Endoscopic surveillance aims to identify potential progression at an early, treatable stage, but generates large numbers of tissue biopsies. Fourier transform infrared (FTIR) mapping was used to develop an automated histology tool for detection of BE and Barrett's neoplasia in tissue biopsies. 22 oesophageal tissue samples were collected from 19 patients. Contiguous frozen tissue sections were taken for pathology review and FTIR imaging. 45 mid-IR images were measured on an Agilent 620 FTIR microscope with an Agilent 670 spectrometer. Each image covering a 140 μm × 140 μm region was measured in 5 minutes, using a 1.1 μm(2) pixel size and 64 scans per pixel. Principal component fed linear discriminant analysis was used to build classification models based on spectral differences, which were then tested using leave-one-sample-out cross validation. Key biochemical differences were identified by their spectral signatures: high glycogen content was seen in normal squamous (NSQ) tissue, high glycoprotein content was observed in glandular BE tissue, and high DNA content in dysplasia/adenocarcinoma samples. Classification of normal squamous samples versus 'abnormal' samples (any stage of Barrett's) was performed with 100% sensitivity and specificity. Neoplastic Barrett's (dysplasia or adenocarcinoma) was identified with 95.6% sensitivity and 86.4% specificity. Highly accurate pathology classification can be achieved with FTIR measurement of frozen tissue sections in a clinically applicable timeframe.
Citation:
Rapid infrared mapping for highly accurate automated histology in Barrett's oesophagus. 2017 Apr 10;142(8):1227-1234 Epub Oct 3: Analyst
Publisher:
Royal Society of Chemistry
Journal:
The Analyst
Issue Date:
7-Oct-2016
URI:
http://hdl.handle.net/11287/620050
DOI:
10.1039/c6an01871h
PubMed ID:
27713951
Additional Links:
http://dx.doi.org/10.1039/c6an01871h
Type:
Journal Article
Language:
en
ISSN:
1364-5528
Appears in Collections:
Cardiology; Honorary contracts publications; 2016 RD&E publications

Full metadata record

DC FieldValue Language
dc.contributor.authorOld, O Jen
dc.contributor.authorLloyd, G Ren
dc.contributor.authorNallala, Jen
dc.contributor.authorIsabelle, Men
dc.contributor.authorAlmond, L Men
dc.contributor.authorShepherd, N Aen
dc.contributor.authorKendall, C Aen
dc.contributor.authorShore, Angelaen
dc.contributor.authorBarr, Hen
dc.contributor.authorStone, Nicken
dc.date.accessioned2016-10-19T10:29:46Z-
dc.date.available2016-10-19T10:29:46Z-
dc.date.issued2016-10-07-
dc.identifier.citationRapid infrared mapping for highly accurate automated histology in Barrett's oesophagus. 2017 Apr 10;142(8):1227-1234 Epub Oct 3: Analysten
dc.identifier.issn1364-5528-
dc.identifier.pmid27713951-
dc.identifier.doi10.1039/c6an01871h-
dc.identifier.urihttp://hdl.handle.net/11287/620050-
dc.description.abstractBarrett's oesophagus (BE) is a premalignant condition that can progress to oesophageal adenocarcinoma. Endoscopic surveillance aims to identify potential progression at an early, treatable stage, but generates large numbers of tissue biopsies. Fourier transform infrared (FTIR) mapping was used to develop an automated histology tool for detection of BE and Barrett's neoplasia in tissue biopsies. 22 oesophageal tissue samples were collected from 19 patients. Contiguous frozen tissue sections were taken for pathology review and FTIR imaging. 45 mid-IR images were measured on an Agilent 620 FTIR microscope with an Agilent 670 spectrometer. Each image covering a 140 μm × 140 μm region was measured in 5 minutes, using a 1.1 μm(2) pixel size and 64 scans per pixel. Principal component fed linear discriminant analysis was used to build classification models based on spectral differences, which were then tested using leave-one-sample-out cross validation. Key biochemical differences were identified by their spectral signatures: high glycogen content was seen in normal squamous (NSQ) tissue, high glycoprotein content was observed in glandular BE tissue, and high DNA content in dysplasia/adenocarcinoma samples. Classification of normal squamous samples versus 'abnormal' samples (any stage of Barrett's) was performed with 100% sensitivity and specificity. Neoplastic Barrett's (dysplasia or adenocarcinoma) was identified with 95.6% sensitivity and 86.4% specificity. Highly accurate pathology classification can be achieved with FTIR measurement of frozen tissue sections in a clinically applicable timeframe.en
dc.languageENG-
dc.language.isoenen
dc.publisherRoyal Society of Chemistryen
dc.relation.urlhttp://dx.doi.org/10.1039/c6an01871hen
dc.rightsArchived with thanks to The Analysten
dc.subjectWessex Classification Subject Headings::Cardiology::Vascular diseasesen
dc.titleRapid infrared mapping for highly accurate automated histology in Barrett's oesophagus.en
dc.typeJournal Articleen
dc.identifier.journalThe Analysten
dc.type.versionIn press (epub ahead of print)en

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