AIMC Topic: Premenopause

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Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients.

Scientific reports Jan 6, 2025
Objective Endometrial lesions are a frequent complication following breast cancer, and current diagnostic tools have limitations. This study aims to develop a machine learning-based nomogram model for predicting the early detection of endometrial les...
Adult Breast Neoplasms Middle Aged Female Risk Factors Antineoplastic Agents, Hormonal Tamoxifen Premenopause Nomograms Endometrium Machine Learning Retrospective Studies Humans
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A Diagnostic Algorithm using Multi-parametric MRI to Differentiate Benign from Malignant Myometrial Tumors: Machine-Learning Method.

Scientific reports May 4, 2020
This study aimed to develop a diagnostic algorithm for preoperative differentiating uterine sarcoma from leiomyoma through a supervised machine-learning method using multi-parametric MRI. A total of 65 participants with 105 myometrial tumors were inc...
Myometrium Predictive Value of Tests Uterine Neoplasms Leiomyoma Premenopause Magnetic Resonance Spectroscopy Magnetic Resonance Imaging Decision Trees Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Female Reproducibility of Results Sensitivity and Specificity Middle Aged Machine Learning Adult Algorithms Humans
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Derivatization of estrogens enhances specificity and sensitivity of analysis of human plasma and serum by liquid chromatography tandem mass spectrometry.

Talanta Dec 29, 2015
Estrogens circulate at concentrations less than 20pg/mL in men and postmenopausal women, presenting analytical challenges. Quantitation by immunoassay is unreliable at these low concentrations. Liquid chromatography tandem mass spectrometry (LC-MS/MS...
Spectrometry, Mass, Electrospray Ionization Postmenopause Premenopause Benzenesulfonates Pyridinium Compounds Aged Tandem Mass Spectrometry Aged, 80 and over Estrone Solid Phase Extraction Female Estrogens Reproducibility of Results Young Adult Male Chromatography, Liquid Humans Middle Aged Adult Estradiol
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Effects of vitamin D supplementation on a deep learning-based mammographic evaluation in SWOG S0812.

JNCI cancer spectrum Jul 1, 2024
Deep learning-based mammographic evaluations could noninvasively assess response to breast cancer chemoprevention. We evaluated change in a convolutional neural network-based breast cancer risk model applied to mammograms among women enrolled in SWOG...
Neural Networks, Computer Female Humans Middle Aged Risk Assessment Deep Learning Adult Breast Neoplasms Premenopause Breast Density Mammography Cholecalciferol Vitamin D Dietary Supplements
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The relationship between breast cancer treatment, tumour type and vitamin D level in pre- and postmenopausal women.

Neuro endocrinology letters Dec 1, 2017
OBJECTIVE: Vitamin D deficiency has been linked to a higher risk of cancer. There is insufficient data regarding the influence of treatment on vitamin D status. The aim of this study was to compare pre- and post-treatment levels of 25(OH)D in premeno...
Breast Neoplasms Humans Postmenopause Female Receptors, Estrogen Vitamin D Premenopause Receptors, Progesterone
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