Working with DICOM at scale?
DICOMAnon helps imaging teams anonymize, batch process, and automate DICOM workflows without writing custom scripts.
Author profile
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...
SunNuclear SRS mapcheck diode array is a convenient option for 2D dose mapping combining small detector and relatively small 3.5mm detector grid size in axial direction (2.5mm in diagonal direction). We investigate the utility of SRS mapcheck in validating th...
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...
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...
Accurate delineation of Head and Neck (H&N) Gross Tumor Volumes (GTV) is a prerequisite for effective radiotherapy, represents a significant cognitive challenge, and may contribute to an observed outcomes deficit between high-volume and low-volume H&N radioth...
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...