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Results for "practice specific": 19 found

A National Guide for Managing Multidisciplinary Groups to Implement Patient Safety in the Areas of Medical Use of Ionizing Radiation

Authors: Merce Beltran Vilagrasa, Nuria Jornet, Cristina Moreno Saiz, Maria Pinto Monedero, Carlos Prieto Martín, María José Rot San Juan, Pablo Saldaña Gutierrez, Agustin Santos

Affiliation: Servicio de Radiofísica Hospitalaria, Hospital Universitario Clínico San Cecilio, Servicio de Radiofísica y Protección Radiológica, Consorcio Hospitalario Provincial de Castellón, Servicio de Radiofísica y Protección Radiológica. Hospital Universitario de la Princesa, Servicio de Física Médica y Protección Radiológica, Instituto Catalán de Oncología/Hospital Universitario de Bellvitge, Servei de Física i Protecció Radiològica. Hospital Universitari Vall d'Hebron, Servei de Radiofísica i Radioprotecció. Hospital de la Santa Creu i Sant Pau, Servicio de Radiofísica y Protección Radiológica, Hospital Universitario Puerta de Hierro, Servicio de Radiofísica Hospitalaria, Hospital Universitario 12 de Octubre

Abstract Preview: Purpose: Patient safety (PS) is a discipline that is not usually included in the training curricula of medical physics experts in many countries. This implies that PS is addressed by professional soci...

An Automated Notification System for Identifying Patients Eligible for Biology-Guided Radiotherapy

Authors: Shahed Badiyan, Bin Cai, Tu Dan, Michael Dohopolski, Steve B. Jiang, Deepkumar Mistry, Arnold Pompos, Robert Timmerman, Jing Wang

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

Abstract Preview: Purpose: Biology-guided radiotherapy (BGRT) offers significant potential for personalized and adaptive cancer treatment, with clinically available systems such as SCINTIX from Reflexion now being intr...

Auto-Segmentation Scripting to Generate Optimization Structures for Spine SBRT Planning

Authors: Jon Hansen

Affiliation: Washington University in St Louis

Abstract Preview: Purpose: Commercially available auto-segmentation software was utilized to generate institution-specific optimization structures for spine stereotactic body radiation therapy (SBRT). Implementation of...

Chat with Oncology Information System Via Large Language Model

Authors: Michael Dohopolski, Xuejun Gu, Hao Jiang, Steve B. Jiang, Christopher Kabat, Jingying Lin, Weiguo Lu, Michael Tang

Affiliation: Medical Artificial Intelligence and Automation (MAIA) Lab & Department of Radiation Oncology, UT Southwestern Medical Center, Neuralrad LLC, 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: To streamline access to clinical data stored in Oncology Information Systems such as MOSAIQ or ARIA, we developed an AI-powered chatbot capable of querying, summarizing, and interactively ans...

Enhanced Surface Dose Accuracy in Proton Treatment Planning: Optimizing External Volume HU Thresholding.

Authors: Michael Butkus, Camilo M. Correa Alfonso, Olga M. Dona Lemus, James Arthur Perez-Sanchez

Affiliation: University of Miami

Abstract Preview: Purpose: Accurate skin dose calculation is essential for treating superficial lesions such as those of the breast, chest wall, and scalp. Clinical treatment planning systems often rely on approximatio...

Evaluation of Nodule Volume Accuracy with Deep Learning-Based Reconstructions on Cdznte Photon-Counting and Energy-Integrating CT

Authors: Gisell Ruiz Boiset, Paulo ROBERTO Costa, Luuk J Oostveen, Elsa Bifano Pimenta, Ioannis Sechopoulos, Alessandra Tomal

Affiliation: Radboud University Medical Center, University of São Paulo (USP), Institute of Physics, Universidade Estadual de Campinas. Instituto de Física Gleb Wataghin

Abstract Preview: Purpose: This study aimed to evaluate the precision and accuracy of volume measurements for solid nodules (SNs) and ground-glass opacities (GGOs) in lung images acquired using energy-integrating CT (E...

FMEA for Optimizing Patient-Specific QA Program in IMRT: Insights from Diverse Practices

Authors: Bing-Hao Chiang, Eric C. Ford, Juergen Meyer, Timothy D. Solberg

Affiliation: Department of Radiation Oncology, Fred Hutchinson Cancer Center, University of Washington

Abstract Preview: Purpose: This study evaluated the potential risk reduction of various pretreatment patient-specific quality assurance (PSQA) programs for Intensity Modulated Radiation Therapy (IMRT) in mitigating fai...

From Prediction to Practice: Performance of a Deep Learning-Based Breast Planning Algorithm

Authors: Thomas L. Hayes, Nicholas C. Koch, Han Liu, Qingyang (Grace) Shang, Benjamin J. Sintay, Caroline Vanderstraeten, David B. Wiant

Affiliation: Fuse Oncology, Cone Health, Cone Health Cancer Center

Abstract Preview: Purpose:
This study evaluates the accuracy of a deep learning-based automatic breast planning script in predicting beam energy for breast cancer treatments. The script was validated and implemented...

Investigation of High Cumulative Doses and Dose Outliers in a Pediatric Hospital

Authors: Niki Fitousi, Stanley Thomas Fricke, Anna Romanyukha

Affiliation: Qaelum NV, Children's National Hospital

Abstract Preview: Purpose:
To identify opportunities for improvement through investigation of outliers in exam dose length product (DLP) and patients receiving high cumulative doses (CED), in the context of our “ped...

Knowledge-Informed Deep Learning for Accurate and Interpretable Extracapsular Extension Detection in Head and Neck Squamous Cell Carcinoma

Authors: William N. Duggar, Amirhossein Eskorouchi, Haifeng Wang

Affiliation: Mississippi State University, University of Mississippi Medical Center

Abstract Preview: Purpose:
Extracapsular extension (ECE) in lymph nodes represents a critical prognostic factor in head and neck squamous cell carcinoma (HNSCC), bearing important implications for staging, treatment...

Lu-PSMA-Dose, a French Retrospective Multicentric Dosimetry Study of 177Lu-PSMA Treatments for Metastatic Castration-Resistant Prostate Cancer

Authors: Nadège Anizan, Jean-Noël Badel, Thomas Baudier, David Broggio, Désirée Deandreis, Ludovic Ferrer, Didier Franck, Camilo Garcia, Jean Gasteuil, Anne-Laure Giraudet, Olivier Humbert, Laetitia Imbert, Malick Koulibaly, Stéphanie Lamart, Sébastien Leygnac, Alexandre Pignard, Caroline Rousseau, Guido Rovera, David Sarrut, Paul Schwartz, Nicolas Varmenot

Affiliation: Institut de Cancérologie de l’Ouest, Service de Médecine Nucléaire, Gustave Roussy, Service de Physique Médicale, Institut Bergonié, Service de Physique Médicale, CHRU de Nancy Brabois, Service de Médecine Nucléaire, Centre de lutte contre le cancer Léon Bérard, Université de Lyon, Centre Antoine Lacassagne, Service de Médecine Nucléaire, Université Nice Côte d’Azur, Centre Antoine Lacassagne, Service de Médecine Nucléaire, Gustave Roussy, Service de Médecine Nucléaire, Institut de Cancérologie de l’Ouest, Service de Physique Médicale, 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, CREATIS CNRS UMR 5220; INSERM U 1044; Université de Lyon; INSA‑Lyon, CREATIS CNRS UMR 5220; INSERM U 1044; Université de Lyon; INSA‑Lyon; Centre de lutte contre le cancer Léon Bérard, Institut Bergonié, Service de Médecine Nucléaire

Abstract Preview: Purpose: The main objective of the Lu-PSMA-Dose study, sponsored by ASNR, is to estimate retrospectively the individual absorbed dose delivered to patients treated with 177Lu-PSMA for metastatic castr...

Monte Carlo Derived Correction Factors for Ion Chambers Used in the Calibration of Gamma Knife Perfexion Model: Impact of Phantom Materials and Chamber Orientation on Dosimetric Accuracy

Authors: Catherine Coolens, Robert K. Heaton, Lalageh Mirzakhanian, Tasnim Rahman, Jan P. Seuntjens

Affiliation: Princess Margaret Cancer Centre & University of Toronto, McGill University, Princess Margaret Cancer Centre, Princess Margaret Hospital, University of Toronto

Abstract Preview: Purpose: Commissioning of a Gamma Knife® (GK) (Elekta, Sweden) unit requires precise dosimetric reference measurements, particularly for small fields. The IAEA TRS-483/AAPM TG-155 code of practice (20...

Navigating Radiotherapy Ethics with Generative AI: Geoffrey Hinton's Warnings Regarding Relying Totally on Insights from AI Models

Authors: James Chun Lam Chow, Kay Li

Affiliation: University of Toronto, Princess Margaret Cancer Centre

Abstract Preview: Purpose: This study explores the caution needed when using Generative AI for assessing radiotherapy ethics, highlighting Geoffrey Hinton’s warnings about the risks of relying solely on AI for ethical ...

Personalized and Automated Head & Neck Radiotherapy Planning with AI-Guided Optimization

Authors: Michael Bowers, Patrik Brodin, Madhur Garg, Rafi Kabarriti, William P. Martin, Todd R. McNutt, Julie Shade, Wolfgang A. Tomé, Christian Velten

Affiliation: Johns Hopkins University, Oncospace, Inc., Montefiore Medical Center

Abstract Preview: Purpose: Development of an automated planning tool utilizing AI generated patient-specific dose-volume histogram predictions for rapid H&N plan generation.
Methods: Planning best-practices were dev...

Predicting Hematologic Toxicity in Advanced Cervical Cancer Patients Using Interpretable Machine Learning Models Based on Radiomics and Dosimetrics

Authors: Qianxi Ni, Qionghui Zhou

Affiliation: The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/Hunan Cancer Hospital, the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University

Abstract Preview: Purpose:
This study aims to develop and evaluate interpretable machine learning models that use radiomic and dosimetric features to predict HT in advanced cervical cancer patients.
Methods:
R...

Refined Nnu-Net Training for Practice-Specific Autosegmentation of APBI Targets

Authors: Daniel A. Alexander, Jonathan Baron, Brook Kennedy Byrd, William Ross Green, Bolin Li, Rafe A. McBeth, Abigail Pepin, Steven Philbrook

Affiliation: Department of Radiation Oncology and Applied Sciences, Department of Radiation Oncology, University of Pennsylvania, Thayer School of Engineering, University of Pennsylvania

Abstract Preview: Purpose: As accelerated partial breast irradiation (APBI) gains traction, the prospect of a rapid sim-to-completion of treatment workflow is an attractive option for patients. While OAR autocontouring...

Tailor-TS System: Tailored Tumor Segmentation System with Facility-Specific Semi-Supervised Learning

Authors: Gong Vincent Hao, Daisuke Kawahara, Jokichi Kawazoe, Yuji Murakami, Ikuno Nishibuchi, Peiying Colleen Ruan, Daguang Xu, Dong Yang

Affiliation: Department of Radiation Oncology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Graduate School of Biomedical and Health Sciences, Hiroshima University, NVIDIA

Abstract Preview: Purpose:
Accurate tumor segmentation in head and neck cancer is critical for effective treatment planning, but variability in practices across medical facilities poses challenges for standardizatio...

Teach What You See: Incorporating Theranostics Curriculum into Medical Physics Resident Education

Authors: Isaac J. Bailey, Lindsay S. DeWeese, Anna M. Mench, Celeste Winters

Affiliation: Oregon Health & Science University, Department of Diagnostic Radiology, Oregon Health & Science University

Abstract Preview: Purpose: The emergence and recent FDA approval of several new radiopharmaceutical therapies have increased demand for physicists to provide specialized support. However, these topics are not yet inclu...

Utilizing All Acquired Images from Fluoroscopically-Guided Interventions: Test Application with Event-By-Event Patient Dosimetry Calculations

Authors: Sagine Berry-Tony, Lasya Daggumati, James R Duncan, Melak Senay, Allan Thomas

Affiliation: University of Missouri-Kansas City School of Medicine, Mallinckrodt Institute of Radiology, Washington University School of Medicine, Washington University in St. Louis

Abstract Preview: Purpose: Most acquired images in FGIs are not permanently archived. In the context of modern computational prowess, novel improvements to FGI practice likely sit just under the surface of large-scale ...