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Results for "stage breast": 12 found

18F-FDG PET/CT-Based Deep Radiomic Models for Enhancing Chemotherapy Response Prediction in Breast Cancer

Authors: Ke Colin Huang, Zirui Jiang, Joshua Low, Christopher F. Njeh, Oluwaseyi Oderinde, Yong Yue

Affiliation: Purdue University, Indiana University School of Medicine, Department of Radiation Oncology

Abstract Preview: Purpose: Enhancing the accuracy of tumor response predictions enables the development of tailored therapeutic strategies for patients with breast cancer (BCa). In this study, we developed deep-radiomi...

A Novel Metric for Predicting Heart Dose Assessment in Left-Sided Breast Cancer Radiotherapy

Authors: Yufeng Cao, Arun Gopal, Kai Huang, Kai Wang

Affiliation: Department of Radiation Oncology, University of Maryland School of Medicine, Department of Radiation Oncology, University of Maryland Medical Center, University of Maryland, Baltimore

Abstract Preview: Purpose: The treatment of left-sided breast tumors poses significant concerns regarding the risk of radiation-induced damage to nearby organs, particularly the heart. In clinical practice, breath-hold...

Automatic Breast VMAT Planning Using Script and Rapidplan on Eclipse

Authors: Maria Jose Almada, Bruno Forti, Patricia Murina, Carlos Daniel Venencia

Affiliation: Instituto Zunino - Fundacion Marie Curie, Dra.

Abstract Preview: Purpose: The use of VMAT for the breast requires duplication of the patient's CT, several planning structures, and patient-specific dose-volume constraints depending on the patient's anatomy, fraction...

Design and Testing of a Portable Microwave Scanner for Imaging Soft Tissue and Tumors in Cancer Patients

Authors: Imad M. Ali, Nesreen Alsbou, Sakeeneh Majeed

Affiliation: University of Central Oklahoma, University of Oklahoma Health Sciences Center

Abstract Preview: Purpose: to design and assess a microwave imaging system equipped with multiple antennas for generating high-resolution 3D images of phantom models that simulate abdominal, thoracic, and brain tissues...

Developing an AI-Driven Predictor for Forecasting Treatment Outcomes in Patients with Early-Stage Breast Cancer

Authors: Lucy Jiang, Chengyu Shi

Affiliation: Department of Radiation Oncology, City of Hope Orange County, Amity Regional High School (10th Grade)

Abstract Preview: Purpose: Early-stage breast cancer is common among females, with typically high local tumor control rates (LCR). Brachytherapy is a common way to achieve LCR following surgery. However, the patients m...

Developing and Using Barcode-Reading Type Portable OCT Imaging System to Detect Surgical Margin

Authors: Dukagjin Blakaj, Zhilin Hu, Stephen Kang, Abberly Lott Limbach, Lanchun Lu, Henry Xiang, Jie Zhang

Affiliation: Pharostek, Department of Pediatrics, The Ohio State University, Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Department of Radiology, University of Kentucky, Department of Pathology, The Ohio State University, Department of Radiation Oncology, The Ohio State University, Department of Otolaryngology, The Ohio State University

Abstract Preview: Purpose: Detect surgical margin in vivo using an original barcode-reading type portable OCT imaging system.
Methods: We developed a barcode-reading type portable optical coherence tomography (OCT) ...

Enhancing Radiotherapy Planning with Machine Learning: Correlating Anatomical Features and Planning Difficulty to Guide Optimal Plan Design

Authors: Li Chen, Shouliang Ding, Xiaoyan Huang, Lecheng Jia, Hua Li, Hongdong Liu, Yanfei Liu, Zun Piao, Guangyu Wang

Affiliation: State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Shenzhen United Imaging Research Institute of Innovative Medical Equipment

Abstract Preview: Purpose: Optimal radiotherapy planning is challenging, influenced by anatomical factors such as surrounding organs and tumor characteristics, which complicate dose distribution and target coverage. Wh...

Evaluating the Performance and Limitations of an Automated Treatment Planning Tool for Intact Breast Radiotherapy across Diverse Patient Populations

Authors: Shatha Al Afifi, Hana Baroudi, Leonard Che Fru, Laurence Edward Court, Suzanne B. Evans, Kent A. Gifford, Adam D. Melancon, Melissa P. Mitchell, Issa Mohamad, Patricia Murina, Manickam Muruganandham, Tucker J. Netherton, Callistus M. Nguyen, Joshua S. Niedzielski, Deborah L. Schofield, Simona Shaitelman, Willie Shaw, Sanjay S. Shete, Adam Shulman, Brendon Smith, Sheeba Thengumpallil, Carlos Daniel Venencia, Conny Vrieling

Affiliation: University of Cape Town, MD Anderson Cancer Center, The University of Texas MD Anderson Cancer Center, University of the Free State, UT MD Anderson Cancer Center, King Hussein Cancer Center, Instituto Zunino - Fundacion Marie Curie, Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Dra., Hirslanden Clinique des Grangettes, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Department of Therapeutic Radiology, Yale University School of Medicine, Yale University, The University of Texas, MD Anderson, Houston TX

Abstract Preview: Purpose:
Automated contouring and planning tools are usually trained on single-institution datasets, seldom tested across diverse patient populations. This introduces a risk of population bias, res...

Predicting Pathological Complete Response to Neoadjuvant Chemotherapy for Breast Cancer at Early Time Points Using a Two-Stage Dual-Task Deep Learning Strategy

Authors: Bowen Jing, Jing Wang

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

Abstract Preview: Purpose: Medical images acquired at multiple time points during neoadjuvant chemotherapy allow physicians to assess patients’ responses and personalize treatment plans accordingly. Studies from the I-...

Radiobiological Modeling of Tumor Control and Normal Tissue Response Following Mlc-Based Sfrt to Extensive Breast and Chest Wall Tumors

Authors: Ramesh Boggula, Yash Somnay, Hualin Zhang

Affiliation: Radiation Oncology, Keck School of Medicine of USC, Wayne State University

Abstract Preview: Purpose: Spatially fractionated radiation therapy (SFRT) allows delivery of therapeutic doses to bulky tumors otherwise limited by dose-volume effects that threaten organ-at-risk tolerances. For negle...

The Impact of Implant Position and Different Radiotherapy Techniques on Dosimetry in Post-Mastectomy Breast Reconstruction for Breast Cancer

Authors: Xiu tong Lin

Affiliation: Department of Radiation physics and technology, Shandong Second Provincial General Hospital

Abstract Preview: Purpose: To compare the dosimetric differences between the photon and proton plans and between the different target according to the placement of the implants for patients undergoing radiotherapy afte...

Using Higher Order Harmonics to Reduce Artifacts in Grating Interferometry

Authors: Les Butler, Joyoni Dey, Conner B Dooley, Victoria L Fontenot, Kyungmin Ham, Hunter Cole Meyer

Affiliation: Louisiana State University, Center for Advanced Microstructures and Devices, Linfield University

Abstract Preview: Purpose: X-ray interferometry is an emerging imaging modality with a wide variety of potential clinical applications, including lung and breast imaging. Small inaccuracies in grating position lead to ...