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Results for "nodal boost": 5 found

Automated Multimodal Image Registration for Prostate Bed Radiation Treatment

Authors: Quan Chen, Xue Feng, Chunhui Han, Gaofeng Huang, Trevor Ketcherside, Yi Lao, Yun Rose Li, An Liu, Bo Liu, Kun Qing, William T. Watkins

Affiliation: Graduate Program in Bioengineering, University of California San Francisco-UC Berkeley, Department of Radiation Oncology, City of Hope National Medical Center, Mayo Clinic Arizona, Carina Medical LLC

Abstract Preview: Purpose: New treatment platforms such as Ethos (Varian Medical Systems) allow the introduction of multi-modal imaging into adaptive radiotherapy workflow to facilitate an up-to-date view of patients’ ...

Evaluation of the Accumulated Dose in Combined Radiotherapy for Cervical Carcinoma Using DVH Addition and Deformable Image Registration Based on Optimization of BT Boost Region in EBRT

Authors: Qiu Tang, Yeqiang Tu, Jiahao Wang, Lu Wang

Affiliation: Women's Hospital School of Medicine Zhejiang University, Hangzhou Women's Hospital

Abstract Preview: Purpose: The BT boost regions were previously delineated and optimized during EBRT planning process. The differences of DVH parameters addition (PA), deformable dose summation (DS) with BT boost regio...

Graph Neural Network with Long Short-Term Memory for CT-Based Macrotrabecular-Massive Hepatocellular Carcinoma Diagnosis

Authors: Enhui Chang, Yunfei Dong, Yifei Hao, Chengliang Jin, Shengsheng Lai, Yi Long, Mengni Wu, Yulu Wu, Ruimeng Yang, Zhenyu Yang, Yue Yuan, Lei Zhang, Wanli Zhang, Yaogong Zhang

Affiliation: Duke Kunshan University, Department of Radiology, The Second Affiliated Hospital, School of Medicine, South China University of Technology, Medical Physics Graduate Program, Duke Kunshan University

Abstract Preview: Purpose: Macrotrabecular-Massive Hepatocellular Carcinoma (MTM-HCC) is one type of liver cancer showed minimum image signature for accurate non-invasive diagnosis. This study aims to develop and evalu...

Multimodal Attention Fusion Model Leveraging Structured and Unstructured EHR Data for Hospital Readmission Prediction in Head and Neck Cancer

Authors: Shreyas Anil, Jason Chan, Arushi Gulati, Yannet Interian, Hui Lin, Benedict Neo, Andrea Park, Bhumika Srinivas

Affiliation: Department of Otolaryngology Head and Neck Surgery, University of California San Francisco, Department of Data Science, University of San Francisco, Department of Radiation Oncology, University of California San Francisco

Abstract Preview: Purpose: Hospital readmission prediction models often rely on structured Electronic Health Record (EHR) data, overlooking critical insights from unstructured clinical notes. This study presents a mult...

Volumetric-Modulated Arc Therapy (VMAT) Is Associated with Improved Dose Homogeneity, but More Normal Tissue Irradiation Compared to Three-Dimensional Conformal Radiation Therapy (3DCRT) for Breast Cancer

Authors: Laura I. Cervino, Linda X. Hong, Jessica Pagan, Angelica A. Perez-Andujar, Maria Thor

Affiliation: Department of Medical Physics, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering Cancer Center, Memorial Sloan-Kettering Cancer Center

Abstract Preview: Purpose: Three-dimensional conformal radiotherapy (3DCRT) and Volumetric-Modulated Arc Therapy (VMAT) are used to treat locally advanced breast cancer. The 3DCRT treatment plans use the treatment fiel...