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DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
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Thomas Jefferson University
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Resin Yttrium-90 (Y-90) selective internal radiation therapy (SIRT) is a radioembolization procedure that uses Y-90 microspheres to treat metastatic liver cancer. In the procedure, liver volume and tumor volume are needed for Y-90 activity calculations, which...
Conventional radiotherapy plan evaluation relies on isolated dose–volume metrics that provide limited insight into the magnitude and clinical significance of deviations from protocol-defined organ-at-risk (OAR) objectives. We propose a plan-level OAR dose dev...
Big-data radiotherapy research faces challenges in achieving consistent structure nomenclature across large hospital networks. This study develops and validates a novel automated pipeline for standardizing structure names. Our multi-tier matching pipeline int...
To introduce a platform for automated comparative analysis of dose calculation algorithms in the Eclipse Treatment Planning System. Native TPS workflows are labor-intensive, manual, and lack the automated metric evaluation needed for efficient AAPM MPPG5b com...
Automated chart-check tools have been shown to reduce errors and improve efficiency in radiation therapy plan reviews. However, existing solutions are typically limited to single-vendor systems. This study describes the development and evaluation of an in-hou...
Longitudinal CBCT radiomics acquired during radiotherapy suffers from temporal variability. We developed a novel cumulative spatial and temporal aggregation framework (CBCTc) to optimize both prediction performance and stability for lung cancer survival predi...
FDG-PET/CT scans obtained for lung cancer staging may encode underutilized cardiac information. This study aimed to: (1) assess the predictive power of PET-derived radiomics for pre-treatment cardiovascular conditions; (2) evaluate model performance across tw...
Cardiotoxicity assessment following lung cancer radiotherapy is limited by the difficulty of extracting outcomes from unstructured Electronic Health Records (EHRs). Large Language Models (LLMs) offer a scalable solution, with privacy constraints necessitating...