Aug 2026· Abdominal Radiology· 0 citations· 35 references
Medicine
TL;DR
The T2WI-based sub-regional radiomics model of the gluteus maximus effectively predicts recurrence in HGSOC patients and provides a promising decision-support tool for post-treatment assessment of recurrence risk.
Background To determine the best-performing peritumoral boundary among tested distances and evaluate the predictive value of preoperative multiparametric MRI radiomics for axillary lymph node metastasis (ALNM) in breast cancer. Methods Clinical and imaging data of 273 patients from two centers were retrospectively anal...
Bing-Chen Chu, Tong-Yun Zhan, Xing Liu et al.· International Journal of Gen...· 0 citations
Objective This study aimed to develop and validate a radiomics-based model using multiphase contrast-enhanced CT for the preoperative prediction of serosal invasion in gastric cancer, and to evaluate whether the integration of clinical and CT morphological features could further improve predictive performance. Methods...
Xiao-Jiao Li, Chen-Cui Huang, Teng-Jun Ma et al.· Frontiers in Oncology· 0 citations
The FS-T2WI radiomics can reliably and non-invasively distinguish between benign and malignant parotid tumors, while the TabResNet framework offers a practical reference for building high-performance radiomics models in clinical practice.
Xu-Ran Mao, Yan-Ting Li, Wei Zhang et al.· Journal of cranio-maxillo-fa...· 0 citations
To develop and validate a nomogram that integrates magnetic resonance imaging (MRI) radiomic features with clinical indicators, including the platelet-to-lymphocyte ratio (PLR) and depth of invasion (DOI), for the preoperative prediction of cervical lymph node metastasis (LNM) in oral squamous cell carcinoma (OSC...
The clinico-radiological variables analyzed using ML showed a predictive performance similar to that of a radiologist in this setting, and the radiomic and combined models achieved a moderate and heterogeneous performance.
Marta García Cerezo, David López Cornejo, Alba Ortigosa-Palomo et al.· Applied Sciences· 0 citations
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