THINKERS-X: multisequence MRI radiomics in a mixture-of-experts model for outcome prediction and exploratory dose-scenario evaluation in lung cancer brain metastases treated with radiosurgery

Therapeutic hybrid intelligence with neural and knowledge-based expert reasoning for SRS: an AI model for breast cancer brain metastases

THINKERS-Breast provides an internally validated framework for tumor-specific local failure prediction and dose-policy evaluation after Gamma Knife radiosurgery for breast cancer brain metastases.

Pretreatment MRI radiomics for predicting recurrence and metastasis after hypofractionated stereotactic radiosurgery in uveal melanoma.

MRI radiomics showed promising discrimination for local recurrence but limited discrimination for metastasis, and should be interpreted with caution given the small number of events in the test set and warrant external validation in larger cohorts.

Pre-treatment machine learning prediction of local failure and time to local failure after Gamma Knife radiosurgery for radioresistant brain metastases

Latest observed volumetric MRI response and lesion level local control after gamma knife radiosurgery for breast cancer brain metastases

Serial magnetic resonance imaging (MRI) reveals heterogeneous lesion responses after stereotactic radiosurgery beyond binary local-control status. We characterized latest-observed volumetric response categories after Gamma Knife radiosurgery (GKRS) for breast cancer brain metastases and examined their concordance...

Impact of multisequence MRI on deep learning-based dose prediction for glioblastoma radiotherapy: A comparative evaluation of CT-only and CT+MRI models.

INTRODUCTION Deep learning-based dose prediction has emerged as a promising approach for supporting automated radiotherapy planning workflows by estimating three-dimensional dose distributions from patient imaging. Although planning CT remains the standard imaging modality, multisequence MRI provides anatomical and tis...

MRI Radiomics for Survival Prediction in Brain Metastases: A Machine Learning Analysis.

T1 postcontrast MRI radiomics showed limited standalone discrimination for overall survival in patients with brain metastases, which support cautious use of radiomics as an exploratory imaging biomarker and emphasize the need for integrated prognostic models that include clinical, treatment, molecular, and systemic dis...