Back to Search
Start Over
Whole slide image with image analysis of atypical bile duct brushing: Quantitative features predictive of malignancy
- Source :
- Journal of Pathology Informatics, Journal of Pathology Informatics, Vol 6, Iss 1, Pp 47-47 (2015)
- Publication Year :
- 2015
-
Abstract
- Background: Whole slide images (WSIs) involve digitally capturing glass slides for microscopic computer-based viewing and these are amenable to quantitative image analysis. Bile duct (BD) brushing can show morphologic features that are categorized as indeterminate for malignancy. The study aims to evaluate quantitative morphologic features of atypical categories of BD brushing by WSI analysis for the identification of criteria predictive of malignancy. Materials and Methods: Over a 3-year period, BD brush specimens with indeterminate diagnostic categorization (atypical to suspicious) were subjected to WSI analysis. Ten well-visualized groups with morphologic atypical features were selected per case and had the quantitative analysis performed for group area, individual nuclear area, the number of nuclei per group, N: C ratio and nuclear size differential. Results: There were 28 cases identified with 17 atypical and 11 suspicious. The average nuclear area was 63.7 µm2 for atypical and 80.1 µm2 for suspicious (+difference 16.4 µm2; P = 0.002). The nuclear size differential was 69.7 µm2 for atypical and 88.4 µm2 for suspicious (+difference 18.8 µm2; P = 0.009). An average nuclear area >70 µm2 had a 3.2 risk ratio for suspicious categorization. Conclusion: The quantitative criteria findings as measured by image analysis on WSI showed that cases categorized as suspicious had more nuclear size pleomorphism (+18.8 µm2) and larger nuclei (+16.4 µm2) than those categorized as atypical. WSI with morphologic image analysis can demonstrate quantitative statistically significant differences between atypical and suspicious BD brushings and provide objective criteria that support the diagnosis of carcinoma.
- Subjects :
- medicine.medical_specialty
Pathology
Nuclear area
Health Informatics
Adenocarcinoma, bile duct, cytology image analysis, whole slide image
Adenocarcinoma
Malignancy
lcsh:Computer applications to medicine. Medical informatics
Pathology and Forensic Medicine
bile duct
lcsh:Pathology
Medicine
business.industry
Bile duct
medicine.disease
Computer Science Applications
medicine.anatomical_structure
Pleomorphism (cytology)
whole slide image
Whole slide image
lcsh:R858-859.7
cytology image analysis
Original Article
Radiology
business
Indeterminate
lcsh:RB1-214
Subjects
Details
- ISSN :
- 22295089
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Journal of pathology informatics
- Accession number :
- edsair.doi.dedup.....50e0424be37fd4e98a424c7e1766720d