Attitudes, practices and perspectives on imaging strategies in prostate cancer: a national cross-sectional survey involving expert radiation oncologists on behalf of AIRO (Italian association of radiotherapy and clinical oncology) GU group

MEDICAL ONCOLOGY(2021)

引用 1|浏览21
暂无评分
摘要
Although high sensitive imaging modalities such as MRI and PSMA PET/CT are becoming available for prostate cancer (PCa), the clinical benefit of an earlier detection of subclinical disease remains yet undetermined. Given these uncertainties, univocal recommendations are often lacking. The present survey was therefore developed by the Italian Association of Radiotherapy and Clinical Oncology (AIRO) to collect the opinion of expert radiation oncologists and delineate a representation of current clinical practice in our country. A nationwide cross-sectional survey was conducted in Italy by administering an anonymous questionnaire to experienced radiation oncologists, representative of the genitourinary (GU) tumor board at their Institution, using the cloud-based platform SurveyMonkey®. For each question, a consensus was achieved when ≥ 75% of the responders agreed on the same response. Thirty nine AIRO members from different Italian centers who were deemed experts in GU field accessed the proposed survey and completed all sections. Explored topics included staging of organ-confined disease, management of biochemical and local recurrence, imaging in the metastatic setting, imaging following metastasis-directed therapy (MDT), and future considerations. Response rate for single item of the questionnaire ranged between 51.2% and 100%. Expert GU AIRO members agree that advanced molecular and functional imaging are expanding their role in local and distant staging of PCa, as well as in the oncologic management and in the assessment of treatment response. However, many controversial issues still exist on the best timing for a diagnostic evaluation and the most appropriate imaging to aim at this purpose.
更多
查看译文
关键词
Prostate cancer,Imaging,MRI,PSMA PET/CT
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要