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Results for "bone metastases": 23 found

An Optimal-Mass-Transport-Based Mathematical Model Applied to Brain DCE-MRI to Differentiate Brain Metastases Recurrence from Radiation Necrosis

Authors: Aditya P. Apte, Xinan Chen, Joseph O. Deasy, Ramesh Paudyal, Kyung Peck, Amita Shukla-Dave, Nathaniel Swinburne, Robert J. Young

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

Abstract Preview: Purpose: We apply our novel formulation of unbalanced-regularized-optimal-mass-transport (urOMT) theory to brain DCE-MRI data to quantify and visualize the behaviors of fluid flows in post-treatment f...

Automated Treatment Planning Script for Bone Metastases Using Eclipse TPS

Authors: Maria Jose Almada, Bruno Forti, Andres Lima, Carlos Daniel Venencia

Affiliation: Instituto Zunino - Fundacion Marie Curie

Abstract Preview: Purpose:
To automate the planning of radiotherapy treatments for bone metastases using a script in the ECLIPSE planning system version 15.6 with a graphical interface.
Methods:
A script was d...

Biologically Guided Deep Learning for MRI-Based Brain Metastasis Outcome Prediction after Stereotactic Radiosurgery

Authors: Evan Calabrese, Hangjie Ji, Kyle J. Lafata, Casey Y. Lee, Eugene Vaios, Chunhao Wang, Lana Wang, Zhenyu Yang, Jingtong Zhao

Affiliation: Duke University, Department of Radiation Oncology, Duke University, Duke Kunshan University, North Carolina State University

Abstract Preview: Purpose: To develop a biologically guided deep learning (DL) model for predicting brain metastasis(BM) local control outcomes following stereotactic radiosurgery (SRS). By integrating pre-SRS MR image...

Commissioning of an AI-Assisted Tool for Enhancing Post-Radiosurgery Follow-up in Multiple Brain Metastases Patients

Authors: Rex Carden, Carlos E. Cardenas, Ho-hsin Rita Chang, John B Fiveash, Heinzman A. Katherine, Yogesh Kumar, Gaurav Nitin Rathi, Richard A. Popple, Kayla Lewis Steed

Affiliation: University of Alabama at Birmingham

Abstract Preview: Purpose: Brain metastases (BMs) often require multiple radiotherapy (RT) courses as new lesions appear. Comparing follow-up imaging with prior RT plans is time-intensive. We developed an AI tool that ...

Evaluation of the Inverse Planning Optimization with Leksell Gammaplan®

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

Affiliation: FCCC at Temple University Hospital

Abstract Preview: Purpose: Our GammaKnife(GK) has been upgraded from 4C to ICON recently. In this study we evaluated the performance of Lightning IPO for ICON.
Methods: 10 cases with single brain metastasis previous...

Gradient-Based Radiomics for Outcome Prediction and Decision-Making in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR): A Preliminary Study

Authors: Michael Dohopolski, Jiaqi Liu, Hao Peng, Robert Timmerman, Zabi Wardak, Haozhao Zhang

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

Abstract Preview: Purpose:
This study introduces a gradient-based radiomics framework to enhance outcome prediction in Personalized Ultra-Fractionated Stereotactic Adaptive Radiotherapy (PULSAR) for brain metastases...

Improving the Robustness of AI-Based Detection and Segmentation for Brain Metastasis By Optimizing Loss Function and Multi-Dataset Training

Authors: Omar Awad, Alfredo Enrique Echeverria, Issam M. El Naqa, Daniel Allan Hamstra, Yiding Han, Ryan Lafratta, Abdallah Sherif Radwan Mohamed, Piyush Pathak, Zaid Ali Siddiqui, Baozhou Sun, Vincent Ugarte

Affiliation: H. Lee Moffitt Cancer Center, Harris Health, Baylor College of Medicine

Abstract Preview: Purpose:
Accurate detection and segmentation of brain metastases are critical for diagnosis, treatment planning, and follow-up imaging but are challenging due to labor-intensive manual assessments ...

Inter-Fraction Monitoring of Brain Metastases Resection Cavities during Fractionated Stereotactic Radiosurgery on the 0.35 T MRI-Linac

Authors: Eyub Y. Akdemir, Gregory A Azzam, Rupesh Kotecha, Gregory J. Kubicek, Natalia Lutsik, Eric Mellon, Siamak P. Nejad-Davarani, Parag Parikh, Karen C. Snyder

Affiliation: Miami Cancer Institute, Baptist Health South Florida, Department of Radiation Oncology, University of Miami, Henry Ford Health

Abstract Preview: Purpose: Resection cavity volumes shrink gradually over time after surgical resection of brain metastases. Fractionated stereotactic radiosurgery (fSRS) is often delivered to the cavity to prevent rec...

Interpretable Deep Learning Predicts Metastasis-Free Survival (MFS) from Conventional Imaging for Oligometastatic Castration-Sensitive Prostate Cancer (omCSPC) Using Multi-Modality PSMA PET and CT Imaging.

Authors: Yufeng Cao, Luigi Marchionni, William Silva Mendes, Cem Onal, Lei Ren, Amit Sawant, Nicole L Simone, Philip Sutera, Phuoc Tran

Affiliation: University of Maryland School of Medicine, 9Department of Radiation Oncology, Thomas Jefferson University, Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins Medicine, University of Maryland, Baltimore, Baskent University Faculty of Medicine, Department of Radiation Oncology, Department of Radiation Oncology, University of Maryland School of Medicine, Maryland University Baltimore, 8Department of Pathology and Laboratory Medicine, Weill Cornell Medicine

Abstract Preview: Purpose: This study aims to predict 2-yr Metastasis-free survival (MFS) for oligometastatic castration-sensitive prostate cancer (omCSPC) patients treated by metastasis-directed therapy (MDT) by devel...

Isocenter Optimization for Linear Accelerator-Based Radiosurgical Treatment Planning for Multiple Brain Metastases

Authors: J. Daniel Bourland, Christina K Cramer, Justin M. Napolitano, James D. Ververs

Affiliation: Wake Forest University School of Medicine

Abstract Preview: Purpose:
Brain metastases (BM) can be treated with linear accelerator (LINAC)-based stereotactic radiosurgery (SRS). Treatment planning for this modality has evolved over time; treatment plans typi...

LLM-Enhanced Multi-Modal Framework for Predicting Pain Relief of Stereotactic Body Radiotherapy for Spine Metastases Using Clinical Factors and Imaging Reports

Authors: John Byun, Steven D Chang, Mingli Chen, Cynthia Chuang, Xuejun Gu, Melanie Hayden Gephart, Yusuke Hori, Hao Jiang, Mahdieh Kazemimoghadam, Fred Lam, Gordon Li, Lianli Liu, Weiguo Lu, David Park, Erqi Pollom, Elham Rahimy, Deyaaldeen Abu Reesh, Scott Soltys, Gregory Szalkowski, Lei Wang, Qingying Wang, Zi Yang, Xianghua Ye, Kangning Zhang

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

Abstract Preview: Purpose: Accurate prediction of pain relief is crucial in determining the clinical effectiveness of Stereotactic body radiotherapy (SBRT) regimen for spine metastases. We propose a deep-learning frame...

Personalized Dosimetric Workflow for 177Lu-PSMA Treatments Considering the Cross-Irradiation from Bone Metastases to Red Bone Marrow

Authors: Nadège Anizan, David Broggio, Désirée Deandreis, Didier Franck, Camilo Garcia, Stéphanie Lamart, Sébastien Leygnac, Alexandre Pignard

Affiliation: Gustave Roussy, Service de Physique Médicale, Institut Bergonié, Service de Physique Médicale, Gustave Roussy, Service de Médecine Nucléaire, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), PSE-SANTE/SDOS/LEDI, Autorité de Sûreté Nucléaire et de Radioprotection (ASNR), PSE-SANTE/SDOS

Abstract Preview: Purpose: This work aimed at developing an innovative workflow for 177Lu-PSMA personalized dosimetry to lesions and organs at risk (OAR) simultaneously, considering the cross-irradiation from bone meta...

Prediction of Metastasis-Free Survival in Patients with Prostate Adenocarcinoma Using Primary Tumor and Lymph Node Radiomics from Pre-Treatment PSMA PET/CT Scans.

Authors: Ozan Cem Guler, William Silva Mendes, Sangbo Oh, Cem Onal, Lei Ren, Apurva Singh, Phuoc Tran

Affiliation: University of Maryland School of Medicine, Baskent University Faculty of Medicine, Department of Radiation Oncology, Department of Radiation Oncology, University of Maryland School of Medicine

Abstract Preview: Purpose: To predict metastasis-free survival (MFS) for patients with prostate adenocarcinoma treated with androgen deprivation therapy and external radiotherapy using clinical factors and radiomics ex...

Prediction of Vertebral Compression Fracture after Stereotactic Body Radiotherapy for Spinal Metastases Using Clinical, Radiomic and Dosiomic Features

Authors: Yukio Fujita, Syoma Ide, Kei Ito, Tomohiro Kajikawa, Satoshi Kito, Keiko Murofushi, Yujiro Nakajima, Yuhi Suda, Kentaro Taguchi, Naoki Tohyama, Fumiya Tsurumaki

Affiliation: Komazawa University Graduate School, Tokyo Metropolitan Cancer and Infectious Diseases Center Komagome Hospital, Department of Radiology, Kyoto Prefectural University of Medicine

Abstract Preview: Purpose: Stereotactic body radiotherapy (SBRT) for spine metastases is more effective for pain relief and local control than conventional radiotherapy. However, it is associated with vertebral compres...

Radiodynamic Therapy: Inhibiting Metastases of Small Cell Lung Cancer In Vivo

Authors: Lili Chen, Andy T. Clark, Dusica Cvetkovic, Chang Ming Charlie Ma, Dae-Myoung Yang

Affiliation: Fox Chase Cancer Center

Abstract Preview: Purpose: Radiodynamic therapy (RDT) shows promise as a strategy to inhibit the metastasis of premetastatic small cell lung cancer (SCLC). This study evaluates the therapeutic effect of RDT in inhibiti...

Robust Evaluation of Rotational Uncertainties on Single-Isocenter Multi-Target Stereotactic Radiosurgery Hyperarc Treatment

Authors: Albert Admasu, Kayla Alfonso, Maria de la Luz De Ornelas, Nesrin Dogan, Eric Mellon, Yunze Yang

Affiliation: University of Miami, Department of Radiation Oncology, University of Miami, University of Miami Sylvester Comprehensive Cancer Center

Abstract Preview: Purpose: Rotational uncertainties in single-isocenter multi-target (SIMT) stereotactic radiosurgery (SRS) HyperArc treatments can cause additional target displacement, potentially degrading overall pl...

SPECT/CT Multimodal Segmentation of Bone Marrow for Theranostic Dosimetry

Authors: Tommaso Frigerio, Joshua Genender, John M. Hoffman, Catherine (Caffi) Meyer

Affiliation: UCLA, David Geffen School of Medicine at UCLA

Abstract Preview: Purpose: Accurate bone marrow segmentation is required for bone marrow dosimetry to monitor for dangers in PSMA-Lu177 radioligand therapy. We introduce a hybrid (AI/semantic knowledge) segmentation pi...

SRS Treatment Planning for Brain Metastases on Varian Truebeam and Elekta Gamma Knife Icon

Authors: Carl D. Elliston, Lawrence Koutcher, Michael J. Price, Adam C. Riegel, Michael B Sisti, Tony J.C. Wang, Andy (Yuanguang) Xu

Affiliation: Columbia University Irving Medical Center

Abstract Preview: Purpose: An inverse treatment planning software was recently introduced to Gamma Knife radiosurgery. The purpose of this study is to compare the plan quality of the Gamma Knife ”Lightning” with that o...

Target Region-Specific Dose-Volume Parameters for Estimate of Brain Toxicity in Single-Isocenter Multiple-Metastases Linac-Based Stereotactic Radiosurgery

Authors: David L. Barbee, Jose R. Teruel Antolin, Jinyu Xue

Affiliation: NYU Langone Health

Abstract Preview: Purpose: This work introduces a method of regional dose evaluation of normal brain tissue using local target-specific evaluation and compares to global dose evaluation for linac-based single-isocenter...

The Development of a Novel Biomechanical Model for Accurate Contour Deformation during Online Adaptative Metastatic Bone Cancer Radiotherapy Planning.

Authors: Jeremy S. Bredfeldt, Benito De Celis Alonso, Braian Adair Maldonado Luna, Kevin M. Moerman, Gerardo Uriel Perez Rojas, René Eduardo Rodríguez-Pérez, Kamal Singhrao

Affiliation: Department of Radiation Oncology, Brigham and Women's Hospital, Harvard Medical School, Department of Radiation Oncology, Brigham and Women's Hospital, Dana Farber Cancer Institute, Harvard Medical School, Department of Mechanical Engineering, University of Galway, Faculty of Physics and Mathematics, Benemérita Universidad Autónoma de Puebla

Abstract Preview: Purpose: Online adaptive radiotherapy replanning for single-isocenter bone cancer metastasis treatment reduces on-table treatment time and patient discomfort compared to the multi-isocenter standard-o...

To Establish Local Diagnostic Reference Levels (DRLs) for Head and Neck Computed Tomography (CT) Exams in Abuja, Nigeria, and to Investigate the Performance of Brain Metastasis (BM) and Brain Lesion (BL) Segmentation Techniques Using U-Net Models.

Authors: Nuraddeen Nasiru Garba, Kalpana M Kanal, Abdullahi Mohammed, Rabiu Nasiru, Muhammad SHAFIU Shehu, Daniel Vergara, Joseph Everett Wishart

Affiliation: AHMADU BELLO UNIVERSITY, ZARIA, University of Washington

Abstract Preview: Purpose: To establish local Diagnostic Reference Levels (DRLs) for head and neck computed tomography (CT) exams in Abuja, Nigeria, and to investigate the performance of brain metastasis (BM) and brain...

Validation of an Independent Dose Calculation Software for ZAP-X Stereotactic Radiosurgery

Authors: Michael Evan Chaga, Timothy Chen, Shabbar Danish, Jesse Feng, Joseph Hanley, Georg A. Weidlich

Affiliation: Zap Surgical, Tenafly High School, Jersey Shore University Medical Center

Abstract Preview: Purpose: ZapMU is the first independent monitor unit check software freely available supporting ZAP-X. In this study, the validation of ZapMU for independent check of dose calculation is performed, ut...

Workflow for Same Day Linac-Based Stereotactic Radiosurgery

Authors: William Amestoy, Carolina Benjamin, Markus Bredel, Rodrigo Delgadillo, Nesrin Dogan, Michael E Ivan, Ricardo J Komotar, Gregory J. Kubicek, Eric Mellon, Ivaylo B. Mihaylov, Maria Irene Monterroso, Raymond A. Schulz, Ashish Shah, Robert M Starke

Affiliation: University of Miami, Department of Radiation Oncology, University of Miami, University of Miami Sylvester Comprehensive Cancer Center, Varian Medical Systems

Abstract Preview: Purpose: Stereotactic Radiosurgery (SRS) is a widely used treatment modality in radiation oncology, utilizing various technologies such as Gamma Knife (GK), Cyber Knife (CK) and Linac-based SRS with H...