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Results for "disease management": 9 found

A Realistic Computer Simulation Study Assessing How Beam Hardening Affects the Accuracy of CT Lung Attenuation Values

Authors: Zijia Guo, Michael F. McNitt-Gray, Frederic Noo, Karl Stierstorfer

Affiliation: Siemens Healthineers, University of Utah, David Geffen School of Medicine at UCLA

Abstract Preview: Purpose: Accurately assessing lung parenchyma health is critically important in the management of patients with chronic obstructive pulmonary disease. CT attenuation values are valuable for this purpo...

Assessment of the Impact of CT Respiratory Motion on PET SUV Quantification through Virtual Imaging

Authors: Ehsan Abadi, Darrin Byrd, Paul E. Kinahan, Katie Marie Olivas, Ehsan Samei

Affiliation: Duke University, Center for Virtual Imaging Trials, Duke University, Clinical Imaging Physics Group, Department of Radiology, Duke University Health System, University of Washington

Abstract Preview: Purpose: To evaluate the impact of respiratory motion during CT acquisitions on PET image quantification using an integrated PET-CT simulation pipeline.
Methods: A validated CT simulator (DukeSim) ...

Automation in Longitudinal Disease Management

Authors: Bogdan Valcu

Affiliation: Brainlab

Abstract Preview: N/A...

Development and Validation of a Deep Learning-Based Auto-Segmentation Module for Vestibular Schwannoma

Authors: John Byun, Steven D Chang, Cynthia Fu-Yu Chuang, Xuejun Gu, Melanie Hayden Gephart, Yusuke Hori, Fred Lam, Gordon Li, Lianli Liu, Weiguo Lu, David Park, Erqi Pollom, Elham Rahimy, Deyaaldeen Abu Reesh, Scott Soltys, Gregory Szalkowski, Lei Wang, Xianghua Ye, Kangning Zhang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, Department of Neurosurgery, Stanford University, Department of Radiation Oncology, Stanford University, Department of Radiation Oncology, Stanford University School of Medicine

Abstract Preview: Purpose: Accurate and automated delineation of vestibular schwannoma (VS) volume is crucial for disease management, as both treatment approaches (stereotactic radiosurgery and invasive surgery) and mo...

Early Imaging Identification of Osteoradionecrosis and Classification Using the Novel Clinrad System

Authors: Serageldin Attia, Zayne Belal, Cem Dede, Clifton David Fuller, Andrew Hope, Laia Humbert Vidan, Kate Hutcheson, Zaphanlene Kaffey, Stephen Y. Lai, Abdallah Mohamed, Amy Moreno, Jillian Rigert, Erin Watson

Affiliation: Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center; The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Princess Margaret Cancer Centre, University Health Network, 610 University Ave., The University of Texas MD Anderson Cancer Center, UT MD Anderson, Princess Margaret Cancer Centre, UT MD Anderson Cancer Center, Hospital of the University of Pennsylvania, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Department of Head and Neck Surgery, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, The University of Texas MD Anderson Cancer Center, Department of Radiation Oncology

Abstract Preview: Purpose: Osteoradionecrosis (ORN) of the jaw is a debilitating radiation-induced toxicity lacking standardized classification criteria or treatment guidelines. Early identification of tissue injury co...

Enhanced Prognostic Modeling for Clear Cell Renal Cell Carcinoma Via Multi-Omics Model and Computational Pathology Foundation Model Integration

Authors: James Brugarolas, Meixu Chen, Raquibul Hannan, Payal Kapur, Jing Wang, Kai Wang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab, Department of Radiation Oncology, UT Southwestern Medical Center, UT Southwestern Medical Center, Department of Radiation Oncology, University of Maryland Medical Center

Abstract Preview: Purpose: Accurate prognosis of clear cell renal cell carcinoma (ccRCC) is essential for guiding personalized treatment planning. In this study, we present a multi-modal ensemble model (MMEM) that inte...

Feasibility of Extracting Diagnosis and Staging at Scale from Clinical Notes Via a Real-World Data Warehouse

Authors: Melissa Bronson, Elizabeth L. Covington, Robert T. Dess, Joseph R. Evans, William C. Jackson, Charles S. Mayo, Michelle L. Mierzwa, Benjamin S. Rosen, VG Vinod Vydiswaran, Grant Weyburne, Zheng Zhang, Henry Zocher

Affiliation: PCORnetยฎ, The National Patient-Centered Clinical Research Network, University of Michigan

Abstract Preview: Purpose: Diagnosis and staging are an integral part of cancer care, but this information is often scattered across various electronic medical records. The fragmentation increases overall documentation...

Impact of Time-of-Flight Reconstruction and Motion Correction on PET-Based Dosimetry in 90y Radioembolization for Hepatocellular Carcinoma

Authors: Spencer Behr, Joseph Grudzinski, Youngho Seo, Jaehoon Shin, Yiran Wang, Frederick J. Wilson

Affiliation: University of California San Francisco, University of California, San Francisco, Voximetry, Inc., Voximetry, Inc

Abstract Preview: Purpose: Voxel-level imaging-based dosimetry enables a significant improvement in accurate and personalized treatment planning in radiopharmaceutical therapy, potentially leading to optimized disease ...

Retrospective Analysis of Treatment Pauses Due to Intrafraction Movement for Frameless Single Fraction Gamma Knife Icon Radiosurgery

Authors: Nina Burbure, Tawfik G. Giaddui, Shidong Li, Curtis Miyamoto, Jeremy Price, Bin Wang

Affiliation: FCCC at Temple University Hospital

Abstract Preview: Purpose: Frameless gamma knife (GK) treatments use a thermoplastic mask coupled with high-definition motion management system that utilizes an infrared camera, and a reflective marker placed on the pa...