Mazzei Maria Antonietta, Cerase Alfonso, Bagnacci Giulio, Perrella Armando, Di Meglio Nunzia, Mazzei Francesco Giuseppe, Volterrani Luca, Zamboni Giulia A, Cellina Michaela, Guerrini Susanna, Minetti Giuseppe, Cacioppa Laura Maria, Ascenti Giorgio, Floridi Chiara, Giovagnoni Andrea, Arcadi Teresa, Argiolas Giovanni Maria, Arico Francesco Marcello, Ascenti Velio, Cefaro Luca Ausili, Balletta Vittoria, Barillà Claudia, Bastaniello Stefano, Belatti Eugenio, Bisogno Raffaele, Bonenti Giovanni, Bottari Antonio, Bufano Pasquale, Buonomenna Guido, Calandra Cristina, Campagnuolo Tanio, Campanella Delia, Cannella Roberto, Caudo Danilo, Cicero Giuseppe, Cittadini Giuseppe, Consoli Valeria, D'Angelo Tommaso, Del Ciello Annemilia, Di Martino Vito, Di Stefano Margherita, Farchione Alessandra, Francioso Antonio Pio, Frittoli Barbara, Fruzza Rachele, Garufi Valeria, Gennari Chiara, Gentili Francesco, Gigantelli Ivan, Iodice Mariangela, Larici Anna Rita, Liguori Enrica, Lofino Stefano, Tito Antonio Lo, Maggialetti Nicola, Menchini Francesca, Micheli Cinzia, Miele Vittorio, Migliaccio Nicola, Minopoli Bruno, Monteleone Ilaria, Neri Emanuele, Panebianco Luca, Perotto Fabio, Pignatelli Matteo, Pisano Andrea, Polonara Gabriele, Posillico Giuseppe, Racchiusa Sergio, Santini Lorenzo, Secchi Francesco, Sica Cristian, Silipigni Salvatore, Sofia Carmelo, Stagno Alberto, Storer Silvia, Tagliati Corrado, Tanga Ilaria, Testa Francesco, Tonerini Michele, Torrigiani Giorgio, Torrisi Chiara, Toscano Francesco, Tresoldi Silvia, Tupputi Umberto, Verde Francesco, Zanolini Carlo, Zecca Fabio
Italian College of Computed Tomography of Italian Society of Medical and Interventional Radiology (SIRM), 20122, Milan, Italy.
Unit of Diagnostic Imaging, Department of Medical, Surgical and Neuro Sciences and of Radiological Sciences, University of Siena, Azienda Ospedaliero-Universitaria Senese, Viale Mario Bracci 11, 53100, Siena, Italy.
Radiol Med. 2025 Jul 15. doi: 10.1007/s11547-025-02044-5.
The main objective was to assess the geographical distribution and main areas of use of dual-energy CT (DECT) scanners in Italy prior to the implementation of the National Recovery and Resilience Plan (NRRP) within the Next Generation EU (NGEU) framework. Secondary objectives included the level of knowledge of DECT among radiologists and some possible solutions to maximize its use.
Between February and March 2022, an anonymous questionnaire was conducted among the members of the Italian Society of Medical and Interventional Radiology (SIRM), using the Google form platform.
A total of 261 radiologists (mean age 41 ± 11.7 years) from 90 Italian cities participated in the questionnaire. 42% of them worked in an academic center, and diagnostic imaging was the main area of work for most participants (87%). Most radiologists had some knowledge gap, especially those who did not have a DECT scanner available in their hospital (48.3%). Weekly use of DECT protocols varied widely between centers. Oncological imaging (70.4%) was the main area of use. Radiologists use DECT to improve contrast resolution (65.9%), characterize materials (64.4%), and reduce the amount of contrast agent (60%). 91.1% of participants reported that DECT improved their diagnostic accuracy.
DECT scanners have become increasingly available in Italy in recent years, and their number is expected to increase with the NRRP. There is a wide variation in their use and in the expertise of radiologists, leading to a huge untapped potential, that can be improved by specific training. A similar questionnaire will be conducted at the end of the NRRP in 2027.
主要目的是评估在下一代欧盟(NGEU)框架内国家复苏与韧性计划(NRRP)实施之前,意大利双能CT(DECT)扫描仪的地理分布和主要使用领域。次要目标包括放射科医生对DECT的了解程度以及一些最大化其使用的可能解决方案。
2022年2月至3月期间,通过谷歌表单平台对意大利医学与介入放射学会(SIRM)的成员进行了一项匿名问卷调查。
来自意大利90个城市的261名放射科医生(平均年龄41±11.7岁)参与了问卷调查。其中42%在学术中心工作,诊断成像为大多数参与者(87%)的主要工作领域。大多数放射科医生存在一些知识差距,尤其是那些所在医院没有DECT扫描仪的医生(48.3%)。各中心之间DECT协议的每周使用情况差异很大。肿瘤成像(70.4%)是主要使用领域。放射科医生使用DECT来提高对比分辨率(65.9%)、对材料进行特征描述(64.4%)以及减少造影剂用量(60%)。91.1%的参与者报告称DECT提高了他们的诊断准确性。
近年来,DECT扫描仪在意大利越来越普及,随着NRRP的实施,其数量预计还会增加。其使用情况和放射科医生的专业知识存在很大差异,导致巨大的未开发潜力,可通过特定培训加以改善。2027年NRRP结束时将进行类似的问卷调查。