Literature DB >> 17611178

Ex vivo pilot study using computed analysis of endo-cytoscopic images to differentiate normal and malignant squamous cell epithelia in the oesophagus.

S Kodashima1, M Fujishiro, K Takubo, M Kammori, S Nomura, N Kakushima, Y Muraki, O Goto, S Ono, M Kaminishi, M Omata.   

Abstract

BACKGROUND AND STUDY AIMS: An endo-cytoscopy system allows acquisition of optical biopsies that are quite similar to conventional histology. To simplify discrimination between normal and malignant tissue in the oesophagus using endo-cytoscopy system, we analysed the nuclear (dark staining) area in the obtained images with the goal of an accurate, automatic diagnosis. PATIENTS AND METHODS: Ex vivo endo-cytoscopic observation was performed using endoscopically or surgically resected oesophagus from 10 enrolled patients. Oesophageal tissues were stained using 1% methylene blue, and endo-cytoscopic images were obtained at normal and malignant areas (two areas of each) in each oesophagus. The centre of each image (4x10(-2) mm(2)) was processed by computer, and the area occupied by the total nuclei in each selected field and its ratio to the entire field were calculated.
RESULTS: The mean area of the total nuclei was 0.10x10(-2)+/-0.03x10(-2) mm(2) (range 0.05x10(-2) to 0.18x10(-2) mm(2)) in the normal group and 0.40x10(-2)+/-0.06x10(-2) mm(2) (range 0.33x10(-2) to 0.55x10(-2) mm(2)) in the malignant group (P<0.001). The mean ratio of total nuclei to the entire selected field was 6.4+/-1.9% (range 3.1-11.3%) in the normal tissues and 25.3+/-3.8% (range 20.5-34.5%) in the malignant samples (P<0.001).
CONCLUSIONS: Endo-cytoscopy system allowed automatic differentiation of normal and malignant tissues in the oesophagus, which could simplify endo-cytoscopic diagnosis. Further study will elucidate whether such analysis is applicable to inflammatory or pre-malignant epithelia in the oesophagus or other gastrointestinal organs.

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Year:  2007        PMID: 17611178     DOI: 10.1016/j.dld.2007.03.004

Source DB:  PubMed          Journal:  Dig Liver Dis        ISSN: 1590-8658            Impact factor:   4.088


  4 in total

1.  The Impact of Artificial Intelligence in the Endoscopic Assessment of Premalignant and Malignant Esophageal Lesions: Present and Future.

Authors:  Daniela Cornelia Lazăr; Mihaela Flavia Avram; Alexandra Corina Faur; Adrian Goldiş; Ioan Romoşan; Sorina Tăban; Mărioara Cornianu
Journal:  Medicina (Kaunas)       Date:  2020-07-21       Impact factor: 2.430

Review 2.  Evolving role of artificial intelligence in gastrointestinal endoscopy.

Authors:  Gulshan Parasher; Morgan Wong; Manmeet Rawat
Journal:  World J Gastroenterol       Date:  2020-12-14       Impact factor: 5.742

3.  Endocystoscopy for colonic polyps: Is there a future for this diagnostic modality in routine practice?

Authors:  Yasushi Sano; Mineo Iwatate
Journal:  Endosc Int Open       Date:  2021-06-17

Review 4.  Artificial intelligence-assisted esophageal cancer management: Now and future.

Authors:  Yu-Hang Zhang; Lin-Jie Guo; Xiang-Lei Yuan; Bing Hu
Journal:  World J Gastroenterol       Date:  2020-09-21       Impact factor: 5.742

  4 in total

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