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- Automatic Liver Tumor Segmentation (1)
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- Hepatocellular Carcinoma (1)
- Hepatocellular carcinoma diagnosis and delineation (1)
- Liver tumor delineation (1)
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Articles 1 - 7 of 7
Full-Text Articles in Radiation Medicine
Resection And Reconstruction Of Ewing Sarcoma Of The Cuboid Utilizing Vascularized Fibular Autograft: A Case Report, Brandon Cunha, Alexandre Arkader
Resection And Reconstruction Of Ewing Sarcoma Of The Cuboid Utilizing Vascularized Fibular Autograft: A Case Report, Brandon Cunha, Alexandre Arkader
Rowan-Virtua Research Day
Ewing Sarcoma (EWS) rarely presents in the bones of the foot, and particularly in the cuboid, making it an exceedingly rare occurrence. We present the case of a 7-year-old female diagnosed with EWS of the right cuboid, detailing the management and outcomes of this rare presentation. The patient, now almost 5 years post-initial local control, exhibits restored foot function, a normalized gait, and no evidence of disease recurrence. This case underscores the potential for preserving lower extremity function and improving postoperative quality of life in rare presentations of EWS through innovative reconstruction strategies.
Analysis Of Biologically Effective Dose For Retroactive Yttrium-90 Trans-Arterial Radioembolization Treatment Optimization, Mj Lindsey
CMC Senior Theses
Trans-arterial radioembolization (TARE) is a protracted modality of radiation therapy where radionuclides labeled with Yttrium-90 (90Y) are inserted inside a patient's hepatic artery to treat hepatocellular carcinoma (HCC). While TARE has been shown to be a clinically effective and safe treatment, there is little understanding of the radiobiological relationship between absorbed dose and tissue response, and thus there is no dosimetric standard for treatment planning. The Biologically Effective Dose (BED) formalism, derived from the Linear-Quadratic model of radiobiology, is used to weigh the absorbed dose by the time pattern of delivery. BED is a virtual dose that can …
A Deep Learning U-Net For Detecting And Segmenting Liver Tumors, Vidhya Cardozo
A Deep Learning U-Net For Detecting And Segmenting Liver Tumors, Vidhya Cardozo
Theses and Dissertations
Visualization of liver tumors on simulation CT scans is challenging even with contrast-enhancement, due to the sensitivity of the contrast enhancement to the timing of the CT acquisition. Image registration to magnetic resonance imaging (MRI) can be helpful for delineation, but differences in patient position, liver shape and volume, and the lack of anatomical landmarks between the two image sets makes the task difficult. This study develops a U-Net based neural network for automated liver and tumor segmentation for purposes of radiotherapy treatment planning. Non-contrast simulation based abdominal CT axial scans of 52 patients with primary liver tumors were utilized. …
Prediction Of Anal Cancer Recurrence After Chemoradiotherapy Using Quantitative Image Features Extracted From Serial (18)F-Fdg Pet/Ct, Michael Chuong
Prediction Of Anal Cancer Recurrence After Chemoradiotherapy Using Quantitative Image Features Extracted From Serial (18)F-Fdg Pet/Ct, Michael Chuong
Michael Chuong
No abstract provided.
Prediction Of Anal Cancer Recurrence After Chemoradiotherapy Using Quantitative Image Features Extracted From Serial (18)F-Fdg Pet/Ct, Michael Chuong
Prediction Of Anal Cancer Recurrence After Chemoradiotherapy Using Quantitative Image Features Extracted From Serial (18)F-Fdg Pet/Ct, Michael Chuong
All Publications
No abstract provided.
Management Of Patients With Brain Metastases From Non-Small Cell Lung Cancer And Adverse Prognostic Features: Multi-National Radiation Treatment Recommendations Are Heterogeneous, Minesh Mehta
Minesh Mehta
No abstract provided.
Management Of Patients With Brain Metastases From Non-Small Cell Lung Cancer And Adverse Prognostic Features: Multi-National Radiation Treatment Recommendations Are Heterogeneous, Minesh Mehta
All Publications
No abstract provided.