Sanjay Aneja
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View article: OS04.6.A MULTICENTER RANDOMIZED PHASE II STUDY OF R-MPV-A CHEMOIMMUNOTHERAPY WITH OR WITHOUT LOW-DOSE WHOLE-BRAIN RADIOTHERAPY FOR NEWLY DIAGNOSED PRIMARY CNS LYMPHOMA: NRG/ RTOG 1114
OS04.6.A MULTICENTER RANDOMIZED PHASE II STUDY OF R-MPV-A CHEMOIMMUNOTHERAPY WITH OR WITHOUT LOW-DOSE WHOLE-BRAIN RADIOTHERAPY FOR NEWLY DIAGNOSED PRIMARY CNS LYMPHOMA: NRG/ RTOG 1114 Open
BACKGROUND Methotrexate-based chemoradiotherapy is effective in primary central nervous system lymphoma (PCNSL), but carries a risk of severe neurotoxicity. In a single-arm study, a chemotherapy regimen with methotrexate, procarbazine, vin…
View article: Training the next generation of physicians for artificial intelligence-assisted clinical neuroradiology: ASNR MICCAI Brain Tumor Segmentation (BraTS) 2025 Lighthouse Challenge education platform
Training the next generation of physicians for artificial intelligence-assisted clinical neuroradiology: ASNR MICCAI Brain Tumor Segmentation (BraTS) 2025 Lighthouse Challenge education platform Open
High-quality reference standard image data creation by neuroradiology experts for automated clinical tools can be a powerful tool for neuroradiology & artificial intelligence education. We developed a multimodal educational approach for st…
View article: The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI Open
The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and benchma…
View article: An 11,000-Study Open-Access Dataset of Longitudinal Magnetic Resonance Images of Brain Metastases
An 11,000-Study Open-Access Dataset of Longitudinal Magnetic Resonance Images of Brain Metastases Open
Brain metastases are a common complication of systemic cancer, affecting over 20% of patients with primary malignancies. Longitudinal magnetic resonance imaging (MRI) is essential for diagnosing patients, tracking disease progression, asse…
View article: Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases Using MRI-Based Radiomic Features
Image-Based Search in Radiology: Identification of Brain Tumor Subtypes within Databases Using MRI-Based Radiomic Features Open
We introduce an image-based search method for exploring historical MR images of primary brain tumors and fetching reference cases closely resembling queried ones. Assessment involving comparison of tumor types and visual similarity Likert …
View article: Hypofractionated radiotherapy (RT) combined with dihydroartemisinin (DHA): No synergistic effect observed in a preliminary animal study
Hypofractionated radiotherapy (RT) combined with dihydroartemisinin (DHA): No synergistic effect observed in a preliminary animal study Open
Purpose Colorectal cancer (CRC) is one of the leading causes of cancer‐related death worldwide. Dihydroartemisinin (DHA) is an anti‐malaria agent and recent evidence indicates a broad anti‐cancer activity. Radiotherapy (RT) is the cornerst…
View article: Classification of Adverse Events after Hydrogel Perirectal Spacer Insertion for Prostate Cancer Using Large Language Models
Classification of Adverse Events after Hydrogel Perirectal Spacer Insertion for Prostate Cancer Using Large Language Models Open
View article: Association between Prostate Radiotherapy and Survival Among Patients with Metastatic Prostate Cancer by Extent of Disease Burden
Association between Prostate Radiotherapy and Survival Among Patients with Metastatic Prostate Cancer by Extent of Disease Burden Open
View article: Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT)
Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT) Open
Background: Intracerebral hemorrhages (ICH) and perihematomal edema (PHE) are respective imaging markers of primary and secondary brain injury in hemorrhagic stroke. In this study, we explored the potential added value of PHE radiomic feat…
View article: A Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve Confidence
A Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve Confidence Open
Intracerebral hemorrhage (ICH) and perihematomal edema (PHE) are key imaging markers of primary and secondary brain injury in hemorrhagic stroke. Accurate segmentation and quantification of ICH and PHE can help with prognostication and gui…
View article: The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.
The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI. Open
The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and benchma…
View article: Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism
Validating International Classification of Diseases Code 10th Revision algorithms for accurate identification of pulmonary embolism Open
View article: Cancer Informatics: Novel Methods and Applications of Artificial Intelligence in Cancer Care Delivery
Cancer Informatics: Novel Methods and Applications of Artificial Intelligence in Cancer Care Delivery Open
Summary Objectives: To summarize significant research contributions on cancer informatics published in 2023, an extensive search using PubMed/MEDLINE was conducted to identify the scientific contributions published in 2023 that address top…
View article: Artificial Intelligence-based Morpho-volumetric Analysis of Pre- and Post-EVAR Infrarenal Abdominal Aortic Aneurysms Characterized on Computed Tomography Angiography
Artificial Intelligence-based Morpho-volumetric Analysis of Pre- and Post-EVAR Infrarenal Abdominal Aortic Aneurysms Characterized on Computed Tomography Angiography Open
View article: Comparison of Volumetric and 2D Measurements and Longitudinal Trajectories in the Response Assessment of<i>BRAF</i>V600E-Mutant Pediatric Gliomas in the Pacific Pediatric Neuro-Oncology Consortium Clinical Trial
Comparison of Volumetric and 2D Measurements and Longitudinal Trajectories in the Response Assessment of<i>BRAF</i>V600E-Mutant Pediatric Gliomas in the Pacific Pediatric Neuro-Oncology Consortium Clinical Trial Open
Although there was no overall difference between volumetrics and 2D in classifying partial response assessment using BT-RADS, further prospective studies will be critical to elucidate how the observed differences in tumor 2D and volumetric…
View article: A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information
A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information Open
View article: Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imaging
Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imaging Open
Background Glioma, the most prevalent primary brain tumor, poses challenges in prognosis, particularly in the high-grade subclass, despite advanced treatments. The recent shift in tumor classification underscores the crucial role of isocit…
View article: Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial
Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial Open
Background Although response in pediatric low-grade glioma (pLGG) includes volumetric assessment, more simplified 2D-based methods are often used in clinical trials. The study’s purpose was to compare volumetric to 2D methods. Methods An e…
View article: Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas
Application of novel PACS-based informatics platform to identify imaging based predictors of CDKN2A allelic status in glioblastomas Open
View article: Table of Contents
Table of Contents Open
View article: Integrating [18F]-Fluorodeoxyglucose Positron Emission Tomography with Computed Tomography with Radiation Therapy and Immunomodulation in Precision Therapy for Solid Tumors
Integrating [18F]-Fluorodeoxyglucose Positron Emission Tomography with Computed Tomography with Radiation Therapy and Immunomodulation in Precision Therapy for Solid Tumors Open
[18F]-FDG positron emission tomography with computed tomography (PET/CT) imaging is widely used to enhance the quality of care in patients diagnosed with cancer. Furthermore, it holds the potential to offer insight into the synergic effect…
View article: PACS-Integrated Tools for Peritumoral Edema Volumetrics Provide Additional Information to RANO-BM-Based Assessment of Lung Cancer Brain Metastases after Stereotactic Radiotherapy: A Pilot Study
PACS-Integrated Tools for Peritumoral Edema Volumetrics Provide Additional Information to RANO-BM-Based Assessment of Lung Cancer Brain Metastases after Stereotactic Radiotherapy: A Pilot Study Open
Stereotactic radiotherapy (SRT) is the standard of care treatment for brain metastases (METS) today. Nevertheless, there is limited understanding of how posttreatment lesional volumetric changes may assist prediction of lesional outcome. T…
View article: Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction
Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction Open
While the high area under the curve and accuracy for the prediction of molecular subtypes of gliomas are reported in internal and external validation data sets, limited use of external validation and the increased risk of bias in all artic…
View article: Application of Novel PACS-based Informatics Platform to Identify Imaging Based Predictors of CDKN2A Allelic Status in Glioblastomas
Application of Novel PACS-based Informatics Platform to Identify Imaging Based Predictors of CDKN2A Allelic Status in Glioblastomas Open
Gliomas with CDKN2A mutations are known to have worse prognosis but imaging features of these gliomas are unknown. Our goal is to identify CDKN2A specific qualitative imaging biomarkers in glioblastomas using a new informatics workflow tha…
View article: A Large Open Access Dataset of Brain Metastasis 3D Segmentations with Clinical and Imaging Feature Information.
A Large Open Access Dataset of Brain Metastasis 3D Segmentations with Clinical and Imaging Feature Information. Open
Resection and whole brain radiotherapy (WBRT) are the standards of care for the treatment of patients with brain metastases (BM) but are often associated with cognitive side effects. Stereotactic radiosurgery (SRS) involves a more targeted…
View article: A Large Open Access Dataset of Brain Metastasis 3D Segmentations with Clinical and Imaging Feature Information
A Large Open Access Dataset of Brain Metastasis 3D Segmentations with Clinical and Imaging Feature Information Open
Resection and whole brain radiotherapy (WBRT) are the standards of care for the treatment of patients with brain metastases (BM) but are often associated with cognitive side effects. Stereotactic radiosurgery (SRS) involves a more targeted…
View article: P13.02.A APPLICATION OF NOVEL PACS-BASED INFORMATICS PLATFORM TO IDENTIFY IMAGING BASED PREDICTORS OF CDKN2A ALLELIC STATUS IN GLIOBLASTOMAS
P13.02.A APPLICATION OF NOVEL PACS-BASED INFORMATICS PLATFORM TO IDENTIFY IMAGING BASED PREDICTORS OF CDKN2A ALLELIC STATUS IN GLIOBLASTOMAS Open
BACKGROUND Gliomas with CDKN2A mutations are known to have worse prognosis but imaging features of these gliomas are unknown. Our goal is to identify CDKN2A specific qualitative imaging biomarkers in glioblastomas using a new informatics w…
View article: P13.05.B INCORPORATION OF AI-BASED AUTOSEGMENTATION AND CLASSIFICATION INTO NEURORADIOLOGY WORKFLOW: PACS-BASED AI TO BUILD YALE GLIOMA DATASET
P13.05.B INCORPORATION OF AI-BASED AUTOSEGMENTATION AND CLASSIFICATION INTO NEURORADIOLOGY WORKFLOW: PACS-BASED AI TO BUILD YALE GLIOMA DATASET Open
BACKGROUND Translation of AI algorithms into clinical practice is significantly limited by lack of large individual hospital-based datasets with expert annotations. Current methods for generation of annotated imaging data are significantly…
View article: Janus kinase inhibition for the treatment of refractory frontal fibrosing alopecia: A case series and review of the literature
Janus kinase inhibition for the treatment of refractory frontal fibrosing alopecia: A case series and review of the literature Open
View article: Clinical Informatics Approaches to Facilitate Cancer Data Sharing
Clinical Informatics Approaches to Facilitate Cancer Data Sharing Open
Objectives: Despite growing enthusiasm surrounding the utility of clinical informatics to improve cancer outcomes, data availability remains a persistent bottleneck to progress. Difficulty combining data with protected health information o…