Dysplasia discrimination in intestinal-type neoplasia of the esophagus and colon via digital image analysis.
Determining gastrointestinal tract dysplasia level is clinically important but can be difficult, and given this challenge, we investigated colonic and esophageal dysplastic progression using digital image analysis (IA). Whole slide images were obtained for colonic normal mucosa (NCM), hyperplastic p...
| Published in: | Virchows Archiv: European Journal of Pathology Vol. 469; no. 4; pp. 405 - 416 |
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| Main Authors: | , , , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Oct2016
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=118280614&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 118280614 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09456317 O1Z jtl: Virchows Archiv: European Journal of Pathology issn: 09456317 maglogo: N pubinfo: dt: Oct2016 vid: 469 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 118280614 118280614 143943549 NLM27492044 118280614 10.1007/s00428-016-1999-5 NLM27492044 118280614 ppf: 405 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Dysplasia discrimination in intestinal-type neoplasia of the esophagus and colon via digital image analysis. aug: au: Martin, David Braxton, David Farris, Alton Martin, David R Braxton, David R Farris, Alton B affil: Department of Pathology , Emory University , 1364 Clifton Road NE, Room H-188 Atlanta 30322 USA sug: subj: Intestines Pathology Intestinal Neoplasms Pathology Hyperplasia Pathology Barrett Esophagus Pathology Esophageal Neoplasms Pathology Metaplasia Pathology Middle Age Colonic Polyps Pathology Barrett Esophagus Diagnosis Colon Pathology Adenocarcinoma Pathology Adult Aged Esophageal Neoplasms Diagnosis Human Middle Aged: 45-64 years Adult: 19-44 years Aged: 65+ years ab: Determining gastrointestinal tract dysplasia level is clinically important but can be difficult, and given this challenge, we investigated colonic and esophageal dysplastic progression using digital image analysis (IA). Whole slide images were obtained for colonic normal mucosa (NCM), hyperplastic polyps (HP), conventional tubular adenomas (TA), and adenomas with high-grade dysplasia (HGD), and esophageal intestinal metaplasia negative for dysplasia (IM), indefinite for dysplasia (IFD), low-grade dysplasia (LGD), and HGD. Characteristic nuclei were circumscribed, and parameters discriminating groups included nuclear circumference (μm), area (μm(2)), and 15 positive pixel count (PPC) algorithm IA measurements. In colon polyps and esophageal lesions, average nuclear area and circumference ranged 30-108.6 μm(2) and 27.5-48.9 μm, respectively. Differences for average nuclear area and circumference met statistical significance (p < 0.05) between diagnostic groups in the esophagus and colon, except for IM versus IFD nuclear area. Pixel intensity (brightness) separated lesions within both groups with statistical significance except for colonic TAs versus HPs and esophageal LGD versus IM. HGD nuclei in both groups demonstrated more pixel staining heterogeneity than other lesions. Hierarchical clustering and principal component analysis demonstrated that lesions with similar diagnoses tended to cluster together on a low- to high-grade spectrum. Our results confirm that quantitative IA is an effective adjunct reflecting dysplasia in colon polyps and Barrett esophagus lesions. Nuclear area, circumference, and PPC algorithm findings distinguished lesions in a statistically significant manner. This suggests utility for future studies on similar methods, which may provide an adjunctive ancillary technique for pathologists and enhance patient care. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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