OBJECTIVE: Sentinel lymph node biopsy (SLNB) is a widely accepted method in the management of clinically localized cutaneous melanomas. The aim of this study was to report the results on patients scheduled for preoperative lymphoscintigraphy and SLNB for staging and further treatment planning. SUBJECTS AND METHODS: Two hundred and one patients (115 male and 86 female, median age 57 years, range 9-81) with cutaneous melanoma having undergone SLB at Military Medical Academy between November 2010 and October 2014, were recruited for retrospective study. Dual labeling method (Tc-99m Nanocolloid (blue dye) was used. In order to delineate the relation between patients' tumors and scintigraphic characteristics with positive SLN findings, we examined all variables by univariate logistic regression with odd ratios representing the size effect. RESULTS: The overall identification rate of SLN was 98.5%. One or more positive SLN were seen in 47 (23.4%) of the patients. Drainage to one regional basin was noticed in 176 (88%) and multiple drainage regions, up to three, was noticed in 24 patients (12%). Transit lymph nodes were detected in 20 patients (10%). The characteristics that were assotiated significatly with sentinel lymph node metastases were Breslow thickness, nodular melanoma histological subtype and acral localization. CONCLUSION: Besides the well established primary tumor thickness being a predictor of SLN malignancy, we observed: acral body site location and nodular melanoma histological subtype to be significant independent factors in increasing the risk for regional metastases. Our results suport the clinical usefulness of SLNB within a multidisciplinary approach (dermatooncology, plastic/head and neck surgery, pathology, nuclear medicine), as a reliable method in staging and for treatment planning in melanoma patients.
OBJECTIVE: Sentinel lymph node biopsy (SLNB) is a widely accepted method in the management of clinically localized cutaneous melanomas. The aim of this study was to report the results on patients scheduled for preoperative lymphoscintigraphy and SLNB for staging and further treatment planning. SUBJECTS AND METHODS: Two hundred and one patients (115 male and 86 female, median age 57 years, range 9-81) with cutaneous melanoma having undergone SLB at Military Medical Academy between November 2010 and October 2014, were recruited for retrospective study. Dual labeling method (Tc-99m Nanocolloid (blue dye) was used. In order to delineate the relation between patients' tumors and scintigraphic characteristics with positive SLN findings, we examined all variables by univariate logistic regression with odd ratios representing the size effect. RESULTS: The overall identification rate of SLN was 98.5%. One or more positive SLN were seen in 47 (23.4%) of the patients. Drainage to one regional basin was noticed in 176 (88%) and multiple drainage regions, up to three, was noticed in 24 patients (12%). Transit lymph nodes were detected in 20 patients (10%). The characteristics that were assotiated significatly with sentinel lymph node metastases were Breslow thickness, nodular melanoma histological subtype and acral localization. CONCLUSION: Besides the well established primary tumor thickness being a predictor of SLN malignancy, we observed: acral body site location and nodular melanoma histological subtype to be significant independent factors in increasing the risk for regional metastases. Our results suport the clinical usefulness of SLNB within a multidisciplinary approach (dermatooncology, plastic/head and neck surgery, pathology, nuclear medicine), as a reliable method in staging and for treatment planning in melanoma patients.
Authors: Dale Han; Gang Han; Monica T Duque; Steven Morrison; Stanley P Leong; Mohammed Kashani-Sabet; John Vetto; Richard White; Schlomo Schneebaum; Barbara Pockaj; Nicola Mozzillo; Vernon K Sondak; Jonathan S Zager Journal: Ann Surg Oncol Date: 2020-06-10 Impact factor: 5.344
Authors: Selami Serhat Sirvan; Hikmet İhsan Eren; Sevgi Kurt Yazar; Ali Can Günenç; Ayşin Karasoy Yeşilada; Fatih Irmak; Deniz Tuncel Journal: Sisli Etfal Hastan Tip Bul Date: 2019-03-22
Authors: Vladimir Sadkin; Viktor Sкuridin; Evgeny Nesterov; Elena Stasyuk; Alexander Rogov; Natalya Varlamova; Roman Zelchan Journal: Sci Rep Date: 2020-08-19 Impact factor: 4.379