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| http://dx.doi.org/10.47176/mjiri.37.82 | DOI Listing |
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Development and validation of a metabolic syndrome and its components to predict the efficacy of neoadjuvant chemotherapy in breast cancer: An observational, single-center, cohort study.
Medicine (Baltimore)
January 2025
Department of Thyroid and Breast Surgery, Hebei General Hospital, Shijiazhuang, Hebei Province, China.
To assess whether metabolic syndrome can be used as a reference index to evaluate the efficacy of neoadjuvant chemotherapy treatment for breast cancer (BC). Seventy cases of female BC patients who received neoadjuvant chemotherapy treatment and surgical treatment at the Glandular Surgery Department of Hebei Provincial People's Hospital from January 2021 to December 2023 were retrospectively collected, and clinical data such as puncture pathology were recorded. The clinical data were analyzed by 1-way analysis using the χ2 test, and further multifactorial logistic regression analysis was performed for statistically significant differences.
View Article and Find Full Text PDFObservational Characterization of the Retreatment Course of Patients With Thyroid Eye Disease.
J Neuroophthalmol
January 2025
Scheie Eye Institute (YC, TL, SW, TP, PAA, G-sY, CAB, MAT), University of Pennsylvania, Philadelphia, Pennsylvania; Divisions of Neuro-ophthalmology (MAT), Oculoplastics (CAB), and Biostatistics (PAA, G-sY), Kansas Health Science Center, Kansas College of Osteopathic Medicine; and Kansas Health Science Center (GM), Kansas College of Osteopathic Medicine, Kansas, Missouri.
Background: To characterize the retreatment course of patients with thyroid eye disease (TED), who had reactivation after initial therapy with teprotumumab.
Methods: This was a single-center longitudinal cohort study of patients who received an initial course of teprotumumab for active TED and were followed for at least 6 months. Reactivation was defined as the increase of proptosis of 2 mm or more or an increase in Clinical Activity Score (CAS) of two points or more, as adapted from the Optic-X study.
A Machine Learning-Based Model for Preoperative Assessment and Malignancy Prediction in Patients with Atypia of Undetermined Significance Thyroid Nodules.
J Clin Med
December 2024
Division of Thyroid-Endocrine Surgery, Department of Surgery, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju 26426, Republic of Korea.
The aim of this study was to investigate the preoperative clinical and hematologic variables, including the neutrophil-to-lymphocyte ratio (NLR), that can be used to predict malignancy in patients with atypia of undetermined significance (AUS) thyroid nodules; we further aimed to develop a machine learning-based prediction model. We enrolled 280 patients who underwent surgery for AUS nodules at the Wonju Severance Christian Hospital between 2018 and 2022. A logistic regression-based model was trained and tested using cross-validation, with the performance evaluated using metrics such as the area under the receiver operating characteristic curve (AUROC).
View Article and Find Full Text PDFPrognostic Factors for Cancer-Specific Survival and Disease-Free Interval in 130 Patients with Follicular Thyroid Carcinoma: Single Institution Experience.
Diagnostics (Basel)
December 2024
Clinic for Endocrine Surgery, University Clinical Center of Serbia, 11000 Belgrade, Serbia.
Background: Follicular thyroid carcinoma (FTC) is categorized into three groups: minimally invasive FTC (MIFTC), encapsulated angioinvasive FTC (EAIFTC), and widely invasive FTC (WIFTC). FTC is the second most common type of thyroid tumor, though it remains relatively rare in the general population. This study aimed to examine the prognosis and prognostic factors in patients with follicular thyroid carcinoma.
View Article and Find Full Text PDFIntroduction: Differentiated thyroid cancer (DTC) is the most common type of endocrine malignancy, with rising incidence over recent decades. Despite a favorable prognosis, DTC management remains complex, often involving thyroidectomy followed by radioactive iodine (RAI) therapy. While RAI is crucial for patient outcomes, its efficacy varies, necessitating the identification of predictors for treatment response.
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