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期刊名:Journal of cancer education

缩写:J CANCER EDUC

ISSN:0885-8195

e-ISSN:1543-0154

IF/分区:1.6/Q3

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共收录本刊相关文章索引3043
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Jess DeLaune Jess DeLaune
Delivering bad news is a core competency in oncology and a central focus of medical education, often taught through structured frameworks such as the SPIKES protocol. While these approaches emphasize clarity, empathy, and patient-centered c...
Waseem Jerjes,Sarah Williams Waseem Jerjes
Cancer education is typically associated with diagnosis and treatment, yet patients undergoing cancer assessment who receive benign results also experience significant psychological and educational impact. This article reframes reassurance ...
Valeria Sebri,Giuseppe Catanuto,Nicola Rocco et al. Valeria Sebri et al.
Background shared decision-making (SDM) is essential in breast reconstruction following mastectomy, a setting where patients face complex and preference-sensitive choices. Decision aids help patients to understand treatment options by provi...
Khashayar Fakhrian,Carsten Nieder,Philipp-Günther Kupp et al. Khashayar Fakhrian et al.
Background: In radiation oncology, Medical Technologists for Radiology (MTR) play a pivotal role in delivering both technical precision and compassionate patient care. Despite their essential contribution, little empirica...
Jordan McDonald,Denise De La Cruz,Chelsea C Pinnix et al. Jordan McDonald et al.
Radiation oncology residents report varying confidence with on-treatment setup challenges (J Cancer Educ Off J Am Assoc Cancer Educ 36(2):278-283 (2021)). Radiation therapy technologist (RTT) training is variable across institutions (Tech I...
Che-Wei Su,Kun-Yao Dai,Yu-Jen Chen et al. Che-Wei Su et al.
ChatGPT is one of the most advanced large language models. We aim to examine ChatGPT-4o accuracy in solving radiobiology computational problems. Two board-certified radiation oncologists created a problem set consisting of 30 questions. We ...