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Review

Is Computer-Assisted Tissue Image Analysis the Future in Minimally Invasive Surgery? A Review on the Current Status of Its Applications

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Department of Obstetrics and Gynecology, Aretaeio Hospital, 2024 Nicosia, Cyprus
2
St. Georges’ Medical School, University of Nicosia, 2408 Nicosia, Cyprus
3
Biomedical Engineering Research Center, Department of Computer Science, University of Cyprus, 1678 Nicosia, Cyprus
4
Medical School, University of Aberdeen, Foresterhill Rd., Aberdeen AB25 2ZD, UK
*
Author to whom correspondence should be addressed.
Academic Editors: Stefano Bettocchi and Rudy Leon de Wilde
J. Clin. Med. 2021, 10(24), 5770; https://doi.org/10.3390/jcm10245770
Received: 27 October 2021 / Revised: 22 November 2021 / Accepted: 29 November 2021 / Published: 9 December 2021
Purpose: Computer-assisted tissue image analysis (CATIA) enables an optical biopsy of human tissue during minimally invasive surgery and endoscopy. Thus far, it has been implemented in gastrointestinal, endometrial, and dermatologic examinations that use computational analysis and image texture feature systems. We review and evaluate the impact of in vivo optical biopsies performed by tissue image analysis on the surgeon’s diagnostic ability and sampling precision and investigate how operation complications could be minimized. Methods: We performed a literature search in PubMed, IEEE, Xplore, Elsevier, and Google Scholar, which yielded 28 relevant articles. Our literature review summarizes the available data on CATIA of human tissues and explores the possibilities of computer-assisted early disease diagnoses, including cancer. Results: Hysteroscopic image texture analysis of the endometrium successfully distinguished benign from malignant conditions up to 91% of the time. In dermatologic studies, the accuracy of distinguishing nevi melanoma from benign disease fluctuated from 73% to 81%. Skin biopsies of basal cell carcinoma and melanoma exhibited an accuracy of 92.4%, sensitivity of 99.1%, and specificity of 93.3% and distinguished nonmelanoma and normal lesions from benign precancerous lesions with 91.9% and 82.8% accuracy, respectively. Gastrointestinal and endometrial examinations are still at the experimental phase. Conclusions: CATIA is a promising application for distinguishing normal from abnormal tissues during endoscopic procedures and minimally invasive surgeries. However, the efficacy of computer-assisted diagnostics in distinguishing benign from malignant states is still not well documented. Prospective and randomized studies are needed before CATIA is implemented in clinical practice. View Full-Text
Keywords: tissue image analysis; tissue texture image analysis; optical biopsies; computer-aided diagnosis tissue image analysis; tissue texture image analysis; optical biopsies; computer-aided diagnosis
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MDPI and ACS Style

Tanos, V.; Neofytou, M.; Soliman, A.S.A.; Tanos, P.; Pattichis, C.S. Is Computer-Assisted Tissue Image Analysis the Future in Minimally Invasive Surgery? A Review on the Current Status of Its Applications. J. Clin. Med. 2021, 10, 5770. https://doi.org/10.3390/jcm10245770

AMA Style

Tanos V, Neofytou M, Soliman ASA, Tanos P, Pattichis CS. Is Computer-Assisted Tissue Image Analysis the Future in Minimally Invasive Surgery? A Review on the Current Status of Its Applications. Journal of Clinical Medicine. 2021; 10(24):5770. https://doi.org/10.3390/jcm10245770

Chicago/Turabian Style

Tanos, Vasilios, Marios Neofytou, Ahmed Samy Abdulhady Soliman, Panayiotis Tanos, and Constantinos S. Pattichis. 2021. "Is Computer-Assisted Tissue Image Analysis the Future in Minimally Invasive Surgery? A Review on the Current Status of Its Applications" Journal of Clinical Medicine 10, no. 24: 5770. https://doi.org/10.3390/jcm10245770

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