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Computer-aided clinical image analysis as a predictor of sentinel lymph node positivity in cutaneous melanoma

World Journal of Clinical Oncology 2022年第8期13卷 702-711页

作者： Marios Papadakis Alexandros Paschos Andreas S Papazoglou Andreas manios Hubert Zirngibl georgios manios Dimitra Koumaki Department of Surgery Ⅱ University of Witten-HerdeckeWuppertal 42283Germany Department of Dermatology Helios St.Elisabeth Hospital OberhausenOberhausen 46045Germany Faculty of Medicine Aristotle University of ThessalonikiThessaloniki 54124Greece Department of Surgical Oncology University Hospital of HeraklionHeraklion 71110Greece Department of Computer Science and Biomedical Informatics University of ThessalyLamia 35131Greece Department of Dermatology University Hospital of HeraklionHeraklion 71110Greece

BACKGROUND Delays in sentinel lymph node(SLN)biopsy may affect the positivity of *** these reasons,effort is being directed at obtaining reliable information regarding SLN positivity prior to surgical ***,the existing tools,e.g.,dermoscopy,do not recognize statistically significant predictive criteria for SLN positivity in *** To investigate the possible association of computer-assisted objectively obtained color,color texture,sharpness and geometry variables with SLN *** We retrospectively reviewed and analyzed the computerized medical records of all patients diagnosed with cutaneous melanoma in a tertiary hospital in Germany during a 3-year *** study included patients with histologically confirmed melanomas with Breslow>0.75 mm who underwent lesion excision and SLN biopsy during the study period and who had clinical images shot with a digital camera and a handheld ruler aligned beside the *** Ninety-nine patients with an equal number of lesions met the inclusion criteria and were included in the *** mean(±standard deviation)age was 66(15)*** study group consisted of 20 patients with tumor-positive SLN(SLN+)biopsy,who were compared to 79 patients with tumor-negative SLN biopsy specimen(control group).The two groups differed significantly in terms of age(61 years vs 68 years)and histological subtype,with the SLN+patients being younger and presenting more often with nodular or secondary nodular tumors(P<0.05).The study group patients showed significantly higher eccentricity(*** between color and geometrical midpoint)as well as higher sharpness(*** lesions were more discrete from the surrounding normal skin,P<0.05).Regarding color variables,SLN+patients demonstrated higher range in all four color intensities(gray,red,green,blue)and significantly higher skewness in three color intensities(gray,red,blue),P<*** texture variables,***,were comparable in both

关键词： Melanoma Skin cancer Image processing Sentinel lymph node Presurgical

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