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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Development and validation of a multimodal predictive model based on clinical, biochemical, and quantitative dual-energy CT parameters: for predicting the benignity and malignancy of thyroid nodules
Abstract Objective: This study aimed to develop and validate a clinical prediction model integrating clinical characteristics, biochemical markers, and quantitative dual-energy CT (DECT) parameters to differentiate malignant from benign thyroid nodules. Methods: This retrospective study included 172 patients with thyroid nodules (87 malignant and 85 benign). All patients underwent non-contrast and dual-phase contrast-enhanced dual-energy CT (DECT) of the thyroid.
Development and validation of a risk prediction model for prostate cancer integrating quantitative MRI and clinical data
Abstract Objectives: To develop and validate a predictive model for prostate cancer (PCa)by integrating quantitative MRI and clinical data. Methods: A retrospective study was conducted on 290 patients clinically diagnosed with prostate lesions between March 2023 and October 2024.
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