Evidence map›Paper›PMID 40556969›Full record

ArticleWorld journal of oncology2025

Differentiating Malignant and Healthy Areas in Isolated Kidney Samples Through Infrared Visualization Techniques.

Besarion Partsvania, Tamaz Sulaberidze, Alexandre Khuskivadze, Sophio Abazadze, Teimuraz Gogoladze, Nutsa Khuskivadze

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Article in World journal of oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Besarion PartsvaniaDepartment of Bio-Cybernetics, Institute of Cybernetics, Georgian Technical University, Tbilisi, Georgia.
Tamaz SulaberidzeDepartment of Bio-Cybernetics, Institute of Cybernetics, Georgian Technical University, Tbilisi, Georgia.
Alexandre KhuskivadzeDepartment of Urology, Georgia-Israel Joint Clinic "Gidmrdi", Tbilisi, Georgia.
Sophio AbazadzeDepartment of Urology, Georgia-Israel Joint Clinic "Gidmrdi", Tbilisi, Georgia.
Teimuraz GogoladzeDepartment of Bio-Cybernetics, Institute of Cybernetics, Georgian Technical University, Tbilisi, Georgia.
Nutsa KhuskivadzeDepartment of Oncology, Tbilisi State Medical University, Tbilisi, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Because partial nephrectomy (PN) may remove malignant tissue while maintaining kidney function, it is currently the gold standard for nephrectomy. However, the blood arteries that supply the kidney are clamped at the start of the procedure. The most common method for evaluating surgical margins during PN is intraoperative frozen section (FS) evaluation. Its long duration and high false-negative rate question its reliability and efficacy. This encouraged us to search for a much quicker and easier method. Methods: The infrared (IR) imaging approach uses the differences in optical density between tumor and healthy tissue to create the sharp contrast in the IR images. The cancerous kidneys were examined after a radical nephrectomy. Following the removal of the cancerous tissue and some of the surrounding healthy tissue, the samples were examined using the IR method. For the IR analysis, we created specific software. Following that, tissue samples taken from both healthy and malignant areas were subjected to a histomorphological analysis. Results: Experiments showed that malignant tissue appeared as areas of high blackness in the IR picture, while healthy tissue appeared as areas of high illumination. Our software highlighted the areas of the IR image that were associated with the healthy and malignant portions, computed their average brightness, and calculated the ratio of the average illumination (RAI) of the malignant area to that of the healthy area. RAI is an interval of numbers obtained as a result of dividing the average brightness of all dark areas in all examined samples by all light areas of all examined samples. The 95% probability interval for RAIs taking place, which ranged from 0.25 to 0.41, was calculated. The location of the malignancy was then identified by a histomorphological examination. The compliance between histomorphological results and the outcomes of IR examination was confirmed in all cases. Conclusions: The IR imaging technique offers significant promise for improving the accuracy and efficiency of margin assessment during kidney cancer surgeries. The IR imaging technique can provide immediate feedback on the tumor boundaries, which could potentially reduce the duration of warm ischemia during surgery. Subsequent investigations should be focused on verifying the technology in further clinical trials and investigating its integration into the surgical process, which could result in its acceptance as a standard instrument for intraoperative decision-making in kidney cancer operations.

Indexed as

CancerInfrared imagingKidneyPartial nephrectomy

Identifiers

PMID40556969
PMCPMC12185124

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