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Optimizing Radiotherapy Timing for Nasopharyngeal Carcinoma: The Impact of Radiation Scheduling on Survival.
JCO Precis Oncol
January 2025
Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital (Fujian Branch of Fudan University Shanghai Cancer Center), Fujian, China.
Purpose: Chronoradiobiology has emerged as a potential field of study with therapeutic implications for cancer treatment. We aimed to investigate the association between radiation chronotherapy and the efficacy and toxicity of patients with nasopharyngeal carcinoma (NPC).
Patients And Methods: Patients with nonmetastatic NPC treated with intensity-modulated radiotherapy in Fujian Cancer Hospital between January 2017 and December 2019 were included.
Implementation Strategy for Artificial Intelligence in Radiotherapy: Can Implementation Science Help?
JCO Clin Cancer Inform
December 2024
Tilburg School of Economics and Management, Tilburg University, Tilburg, the Netherlands.
Purpose: Artificial intelligence (AI) applications in radiotherapy (RT) are expected to save time and improve quality, but implementation remains limited. Therefore, we used implementation science to develop a format for designing an implementation strategy for AI. This study aimed to (1) apply this format to develop an AI implementation strategy for our center; (2) identify insights gained to enhance AI implementation using this format; and (3) assess the feasibility and acceptability of this format to design a center-specific implementation strategy for departments aiming to implement AI.
View Article and Find Full Text PDFDiscovery of Gene Fusions in Driver-Negative Cancer Samples From the National Cancer Institute-Molecular Analysis for Therapy Choice Screening Cohort.
JCO Precis Oncol
December 2024
Pathology Department, Massachusetts General Hospital, Boston, MA.
Purpose: The National Cancer Institute-Molecular Analysis for Therapy Choice (NCI-MATCH) trial was implemented to identify actionable genetic alterations across cancer types and enroll patients accordingly onto treatment arms, irrespective of tumor histology. Using multiplex polymerase chain reaction (PCR) next-generation sequencing, NCI-MATCH genotyped 5,540 patients, discovering gene fusions in 202/5,540 tumors (3.65%).
View Article and Find Full Text PDFAutomated Electronic Health Record Data Extraction and Curation Using ExtractEHR.
JCO Clin Cancer Inform
November 2024
Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA.
Article Synopsis
- - The study highlights the limited impact of electronic health record (EHR) data on pediatric oncology research due to fewer pediatric cancer cases and challenges in identifying phenotypic cases within EHR data.
- - ExtractEHR, a software package originally designed for reporting clinical trial adverse events, has been expanded to create comprehensive multisite EHR data sets for pediatric cancer research, enabling automated data extraction across hospitals.
- - Installations of ExtractEHR have occurred at four major pediatric institutions, and it has been used for various research activities, including clinical epidemiology studies and multicenter trials, with ongoing efforts to enhance its capabilities for sustainability and interoperability.
Perceptions of Implementing Real-Time Electronic Patient-Reported Outcomes and Digital Analytics in a Majority-Minority Cancer Center.
JCO Clin Cancer Inform
November 2024
School of Pharmacy & Pharmaceutical Sciences, University of California Irvine, Irvine, CA.
Purpose: Electronic patient-reported outcome (ePRO) tools are increasingly used to provide first-hand information on patient's symptoms and quality of life. This study explored how patients and health care providers (HCPs) perceive the use of a digital real-time ePRO tool, coupled with digital analytics at a cancer center located in a majority-minority county. Furthermore, we described the implementation barriers and facilitators identified from the participants' perspectives.
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