A clinicopathological study on prognosis has been carried out in 233 breast cancer patients with more than twenty inspected nodes and without lymph node metastasis. Multivariate analysis of clinicopathological findings in node-negative breast cancers showed that the best combination of clinical features predicting prognosis were age, menstruation status, tumor location and tumor diameter; and from 11 pathological features, three factors (histological type, histological grade and the grade of tumor infiltrating lymphocytes) were selected under condition of p<0.05. With solid-tubular carcinoma, histological grade III and negative tumor infiltrating lymphocytes as the 3 poor prognostic factors, node-negative breast cancers were classified. The recurrence rates of subgroups with the number of 3, 2, 1 and 0 were 28%, 16%, 7% and 0%, respectively. We conclude that the grade of tumor infiltrating lymphocytes is especially significant as the prognostic factor in node-negative breast cancers, and that postoperative adjuvant chemoendocrine therapy must be performed for patients with node-negative breast cancer with more than two poor prognostic pathological factors.
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Int J Surg
January 2025
Department of Surgery, American University of Beirut, Beirut, Lebanon.
Background: The reliability of sentinel lymph node biopsy (SLNB) after neoadjuvant chemotherapy (NACT) in patients with initially node-positive breast cancer is still controversial. This meta-analysis is conducted to investigate the feasibility and accuracy of SLNB after NACT in patients with initially positive axillary nodes.
Methods: We conducted a literature search using Medline, PubMed, Embase, Central, and SCOPUS up until April 2021 for studies on the performance of SLNB following NACT.
Breast
January 2025
Department of Breast Surgery, Zhejiang Key Laboratory of Intelligent Cancer Biomarker Discovery and Translation, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China. Electronic address:
Background: Ongoing discussions persist concerning the precedence of neoadjuvant therapy (NAT) relative to adjuvant therapy (AT) for patients with T1c, node-negative, triple-negative breast cancer (TNBC), and pertinent guidelines for these individuals are absent.
Methods: Women diagnosed with T1cN0M0-stage TNBC who received chemotherapy and surgery were selected from the Surveillance, Epidemiology and End Results database (2010-2020). To balance baseline characteristics and mitigate selection bias, propensity score matching (PSM) was used to create the NAT and AT cohorts.
Sci Rep
January 2025
Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China.
The scope of neck lymph node dissection remains controversial for unilateral papillary thyroid carcinoma (UPTC) patients with no clinical evidence of lymph node metastasis (cN0). This study aims to build and validate a model for predicting central lymph node metastasis (CLNM) in UPTC patients through preoperative basic information and intraoperative rapid frozen pathology results. Retrospective analysis covered 1928 patients with PTC from the Wuhan Union Hospital database (2010-2020), randomly split into training and validation sets in a 7:3 ratio.
View Article and Find Full Text PDFEur J Surg Oncol
December 2024
Department of Surgery, Catharina Hospital, Eindhoven, the Netherlands.
Background: In line with the trend towards minimally invasive, patient-tailored treatment, a selected group of patients with an in-breast tumour recurrence (IBTR) is treated by repeat breast-conserving treatment (BCT). To select eligible patients for repeat BCT, a reliable pre-operative work-up is essential. This study reports on the role of F-FDG PET/CT in detecting synchronous regional and distant metastases in patients with IBTR.
View Article and Find Full Text PDFGland Surg
December 2024
Department of Radiology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Background: Axillary lymph node metastasis (ALNM) is a significant predictor of overall patient survival; thus, precise evaluation of ALNM is essential for staging breast cancer, informing multimodal treatment strategies, and ensuring optimal patient care. This study aimed to establish a magnetic resonance imaging (MRI) scoring system for predicting extensive axillary nodal metastasis in patients with clinically node-negative breast cancer derived from preoperative breast and axillary MRI.
Methods: This study included 226 patients with clinically node-negative breast cancer who underwent preoperative breast and axillary MRI between January 1, 2010 and December 31, 2020 at King Chulalongkorn Memorial Hospital.
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