A5076580483- Radiomics and Machine Learning in Medical Imaging
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer, Hypoxia, and Metabolism
- Glioma Diagnosis and Treatment
- Liver Disease Diagnosis and Treatment
- Advanced X-ray and CT Imaging
- Muon and positron interactions and applications
- Atomic and Molecular Physics
- Particle accelerators and beam dynamics
- Renal cell carcinoma treatment
- Adrenal and Paraganglionic Tumors
- AI in cancer detection
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Hormonal Regulation and Hypertension
- Cancer Mechanisms and Therapy
- Viral-associated cancers and disorders
- Advanced Radiotherapy Techniques
- Spinal Hematomas and Complications
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- RNA modifications and cancer
- Radiation Dose and Imaging
- Cancer, Lipids, and Metabolism
- Hepatitis C virus research
- Colorectal Cancer Surgical Treatments
Bridgeport Hospital
2019-2023
Hospital of the University of Pennsylvania
2023
Yale New Haven Health System
2019-2023
The University of Texas MD Anderson Cancer Center
2014-2021
Yale University
2021
Many differentiated thyroid cancers (DTC) dedifferentiate and become radioactive iodine (RAI)–refractory (RAIR) with worse outcomes. Targeted therapy (TTx) may downregulate MAPK signaling sensitize tumors to RAI. We describe patients RAIR DTC receiving TTx demonstrated RAI uptake allowing for iodine-131 (I131) administration. Charts of metastatic, progressive, in whom increased on a diagnostic whole-body scan (WBS), were reviewed. Results WBS, I131 administration, thyroglobulin (TG) panels,...
Artificial intelligence (AI) is the most revolutionizing development in health care industry current decade, with diagnostic imaging having greatest share such development. Machine learning and deep (DL) are subclasses of AI that show breakthrough performance image analysis. They have become state art field classification recognition. deals extraction important characteristic features from images, whereas DL uses neural networks to solve problems better performance. In this review, we...
Abstract Tumor recurrence affects up to 70% of early-stage hepatocellular carcinoma (HCC) patients, depending on treatment option. Deep learning algorithms allow in-depth exploration imaging data discover features that may be predictive recurrence. This study explored the use convolutional neural networks (CNN) predict HCC in patients with from pre-treatment magnetic resonance (MR) images. retrospective included 120 HCC. Pre-treatment MR images were fed into a machine pipeline (VGG16 and...
Combined hepatocellular-cholangiocarcinoma (HCC-CC) has a reported incidence of less than 5% primary hepatic malignancies. The treatment approach to this malignancy is undefined. Our objective case series provide some insight into chemotherapy and/or targeted therapy in setting.Pathologic and radiographic review confirmed seven combined HCC-CC patients during 5-year time frame [2009-2014]. Data points were demographics, given the first second-line setting, localized if given, result,...
Abstract Normal tissue toxicity is an important consideration in the continued development of more effective external beam radiotherapy (EBRT) regimens for head and neck tumors. The ability to detect EBRT-induced changes mandibular bone vascularity represents a crucial step decreasing potential toxicity. To date, no imaging modality has been shown real time during treatment. Based on our institutional experience with multi-parametric MRI, we hypothesized that DCE-MRI can provide in-treatment...
The most common cause of death in advanced/metastatic hepatocellular carcinoma (HCC) is liver failure due to tumor progression. While retrospective studies and meta-analyses systemic therapy combined with liver-directed have been performed, prospective safety/efficacy antiangiogenesis followed by intra-arterial therapies are lacking. We tested our hypothesis that sorafenib yttrium 90 glass microspheres (90Y GMs) safe survival outcomes may improve controlling hepatic tumors.We enrolled 38...
Purpose The aims of the study were to assess typical and atypical radiologic features pathologically proven adrenal adenomas determine relationship between histopathologic classification. Methods We retrospectively studied 156 in 154 patients from our institutional databases who have computed tomography (CT) and/or magnetic resonance imaging (MRI) examinations before intervention. determined diagnosis (typical or atypical) using Weiss scoring classified radiologically into typical, atypical,...
Background and Aims: Patients with early-stage hepatocellular carcinoma (HCC) are likely to experience tumor recurrence after initial therapy using thermal ablation, surgical resection or orthotopic liver transplantation (OLT), some reports demonstrating rates up 80% five years post-treatment depending on option. Successful identification of patients who will recur could help optimize follow-up imaging, influence choice adjuvant therapy, even improve transplant allocation. Currently,...
e15637 Background: Portal hypertension (PH) is the most common complication in cirrhotic hepatocellular carcinoma (HCC) patients. Although, several preclinical and clinical data have shown decreased portal pressure under sorafenib, significance remains unclear. Our study aimed to evaluating changes PH HCC patients Sorafenib treatment, correlates these with patients’ overall survival (OS). Methods: We reviewed 69 treated at MD Anderson Cancer Center who received sorafenib ≥ 1 month. Analysis...
[Virtual Conference Page](https://event.vconferenceonline.com/microsite/html/login.aspx?id=1551&rlp=1) [ASNR Website] (https://www.asnr.org//annualmeeting) [ePosters](https://www.morressier.com/event/asnr2020eposter/5e5d0b2c35f8e2df5e55a268)