Construction of a comprehensive predictive model for axillary lymph node metastasis in breast cancer: a retrospective study

Autor: Yan Li, Dong Han, Cong Shen, Xiaoyi Duan
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: BMC Cancer, Vol 23, Iss 1, Pp 1-9 (2023)
Druh dokumentu: article
ISSN: 1471-2407
DOI: 10.1186/s12885-023-11498-7
Popis: Abstract Purpose The accurate assessment of axillary lymph node metastasis (LNM) in early-stage breast cancer (BC) is of great importance. This study aimed to construct an integrated model based on clinicopathology, ultrasound, PET/CT, and PET radiomics for predicting axillary LNM in early stage of BC. Materials and methods 124 BC patients who underwent 18 F-fluorodeoxyglucose (18 F-FDG) PET/CT and whose diagnosis were confirmed by surgical pathology were retrospectively analyzed and included in this study. Ultrasound, PET and clinicopathological features of all patients were analyzed, and PET radiomics features were extracted to establish an ultrasound model (clinicopathology and ultrasound; model 1), a PET model (clinicopathology, ultrasound, and PET; model 2), and a comprehensive model (clinicopathology, ultrasound, PET, and radiomics; model 3), and the diagnostic efficacy of each model was evaluated and compared. Results The T stage, US_BIRADS, US_LNM, and PET_LNM in the positive axillary LNM group was significantly higher than that of in the negative LNM group (P = 0.013, P = 0.049, P
Databáze: Directory of Open Access Journals
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