Two thousand one hundred and thirty five asymptomatic invasive breast cancers detected through screening mammography were analysed to identify predictors of lymph node involvement. Multivariable analysis indicated that predictors included larger tumour diameter, an infiltrating ductal or lobular histological type, multifocal disease, a palpable lesion, and a younger age at diagnosis. An association also was found between nodal involvement and the presence of an extensive in situ component (EIC). Grade was associated with nodal involvement as a univariate predictor. It would be more accurate for screening assessment clinics to use models for predicting nodal status that were customised to their own experience rather than generic models developed in other settings that related predominantly to symptomatic cancer. These models could assist clinical decision-making on axillary node dissection and give guidance to pathologists on numbers of tissue sections to examine.
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http://dx.doi.org/10.1016/j.breast.2006.01.009 | DOI Listing |
World J Surg Oncol
January 2025
Institute of Oncology, Tel Aviv Sourasky Medical Center, Weizmann St 6, Tel Aviv, Israel.
Background: De-intensification of anti-cancer therapy without significantly affecting outcomes is an important goal. Omission of axillary surgery or breast radiation is considered a reasonable option in elderly patients with early-stage breast cancer and good prognostic factors. Data on avoidance of both axillary surgery and radiation therapy (RT) is scarce and inconclusive.
View Article and Find Full Text PDFBiomark Res
January 2025
Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, P.R. China.
Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.
Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).
World J Surg Oncol
January 2025
Summit Medical Group, Bend, OR, USA.
Background: National Comprehensive Cancer Network guidelines recommend sentinel lymph node biopsy (SLNB) for patients with > 10% risk of positivity, consider SLNB with 5-10% risk, and foregoing with < 5% risk. The integrated 31-gene expression profile (i31-GEP) algorithm combines the 31-GEP with clinicopathologic variables, estimating SLN positivity risk.
Methods: The i31-GEP SLNB risk prediction accuracy was assessed in patients with T1-T2 tumors enrolled in the prospective, multicenter DECIDE study (n = 322).
Sci Rep
January 2025
Department of Medical Pathology, Ege University Faculty of Medicine, Ege University Hospital, Bornova, İzmir, Turkey.
This study aimed to evaluate the diagnostic accuracy of ultrasonography in assessing the response of clipped axillary lymph nodes to neoadjuvant chemotherapy. Between February 2022 and September 2023, 43 patients who underwent axillary lymph node marking for targeted axillary dissection were retrospectively analyzed. Ultrasonography parameters such as the number, size, shape, cortical thickness, hilum status, and treatment response of the clipped lymph node were assessed.
View Article and Find Full Text PDFAcad Radiol
January 2025
Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing 100010, PR China (M.W., Y.L., D.Z., N.F., Y.W., M.L., H.Z.).
Rationale And Objectives: To summarize the clinical features and ultrasonic characteristics of patients with cystic neutrophilic granulomatous mastitis (CNGM), and to enhance the understanding of CNGM in clinical practice.
Materials And Methods: This study retrospectively analyzed the demographic data, clinical symptoms, and ultrasonic characteristics of 141 patients diagnosed with CNGM through pathological examination. This study was approved by the Medical Ethical Committee of Beijing Hospital of Traditional Chinese Medicine (2023BL02-054-01).
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