Efficacy and safety of different regimens of neoadjuvant therapy in patients with hormone receptor-positive, her2-negative breast cancer: a network meta-analysis
Y Wu, S Huang, Y Wei, M Huang, C Li… - Frontiers in …, 2024 - frontiersin.org
Introduction The objective of this systematic review and network meta-analysis (NMA) is to
assess the effectiveness and safety of various neoadjuvant treatment protocols in individuals …
assess the effectiveness and safety of various neoadjuvant treatment protocols in individuals …
Multi-sequence MRI-based Nomogram for Prediction of Human Epidermal Growth Factor Receptor 2 Expression in Breast Cancer
M Shen, L Zhang, D Zhang, X He, N Liu, X Huang - Heliyon, 2025 - cell.com
Objective To develop a nomogram based on multi-sequence MRI (msMRI) radiomics
features and imaging characteristics for predicting human epidermal growth factor receptor 2 …
features and imaging characteristics for predicting human epidermal growth factor receptor 2 …
Is neoadjuvant chemotherapy necessary for T2N0-1M0 hormone receptor-positive/HER2-negative breast cancer patients undergoing breast-conserving surgery?
D Liu, L Chang, Q Hao, X Ren, P Liu, X Liu… - Journal of Cancer …, 2024 - Springer
Methods Patients with T2N0-1M0 HR-positive/HER2-negative BC who underwent BCS
between 2010 and 2017 were selected from the SEER database. Propensity score matching …
between 2010 and 2017 were selected from the SEER database. Propensity score matching …
Determining individual suitability for neoadjuvant systemic therapy in breast cancer patients through deep learning
E Zhu, L Zhang, Y Liu, T Ji, J Dai, R Tang… - Clinical and …, 2024 - Springer
Background The survival advantage of neoadjuvant systemic therapy (NST) for breast
cancer patients remains controversial, especially when considering the heterogeneous …
cancer patients remains controversial, especially when considering the heterogeneous …
[HTML][HTML] Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast …
P Zhou, H Qian, P Zhu, J Ben, G Chen… - Frontiers in …, 2025 - pmc.ncbi.nlm.nih.gov
Background This study explores the clinical value of a machine learning (ML) model based
on ultrasound radiomics features of primary foci, combined with clinicopathologic factors to …
on ultrasound radiomics features of primary foci, combined with clinicopathologic factors to …
Characteristics of regional lymph node metastasis in breast cancer and construction of a nomogram model based on ultrasonographic analysis: a retrospective study
M Zhu, Z Xu, J Hu, L Hua, Y Zou, F Qin… - World Journal of Surgical …, 2024 - Springer
Objective The ultrasonographic characteristics of lymph node metastasis in breast cancer
patients were retrospectively analyzed, and a predictive nomogram model was constructed …
patients were retrospectively analyzed, and a predictive nomogram model was constructed …
[HTML][HTML] 18F-fluorodeoxyglucose positron emission tomography-computed tomography for predicting pathological complete response to neoadjuvant …
C Ge, L Shi, Z Tan - Gland Surgery, 2025 - gs.amegroups.org
Background: Accurately predicting pathological complete response (pCR) to neoadjuvant
chemotherapy (NACT) in breast cancer remains a clinical challenge. Current imaging-based …
chemotherapy (NACT) in breast cancer remains a clinical challenge. Current imaging-based …