RESUMEN
Early detection of clinically significant prostate cancer (csPCa) has substantially improved with the latest PI-RADS versions. However, there is still an overdiagnosis of indolent lesions (iPCa), and radiomics has emerged as a potential solution. The aim of this systematic review is to evaluate the role of handcrafted and deep radiomics in differentiating lesions with csPCa from those with iPCa and benign lesions on prostate MRI assessed with PI-RADS v2 and/or 2.1. The literature search was conducted in PubMed, Cochrane, and Web of Science databases to select relevant studies. Quality assessment was carried out with Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2), Radiomic Quality Score (RQS), and Checklist for Artificial Intelligence in Medical Imaging (CLAIM) tools. A total of 14 studies were deemed as relevant from 411 publications. The results highlighted a good performance of handcrafted and deep radiomics methods for csPCa detection, but without significant differences compared to radiologists (PI-RADS) in the few studies in which it was assessed. Moreover, heterogeneity and restrictions were found in the studies and quality analysis, which might induce bias. Future studies should tackle these problems to encourage clinical applicability. Prospective studies and comparison with radiologists (PI-RADS) are needed to better understand its potential.
RESUMEN
BACKGROUND: There is growing concern about the impact of artificial intelligence (AI) on radiology and the future of the profession. The aim of this study is to evaluate general knowledge and concerns about trends on imaging informatics among radiologists working in Spain (residents and attending physicians). For this purpose, an online survey among radiologists working in Spain was conducted with questions related to: knowledge about terminology and technologies, need for a regulated academic training on AI and concerns about the implications of the use of these technologies. RESULTS: A total of 223 radiologists answered the survey, of whom 76.7% were attending physicians and 23.3% residents. General terms such as AI and algorithm had been heard of or read in at least 75.8% and 57.4% of the cases, respectively, while more specific terms were scarcely known. All the respondents consider that they should pursue academic training in medical informatics and new technologies, and 92.9% of them reckon this preparation should be incorporated in the training program of the specialty. Patient safety was found to be the main concern for 54.2% of the respondents. Job loss was not seen as a peril by 45.7% of the participants. CONCLUSIONS: Although there is a lack of knowledge about AI among Spanish radiologists, there is a will to explore such topics and a general belief that radiologists should be trained in these matters. Based on the results, a consensus is needed to change the current training curriculum to better prepare future radiologists.
RESUMEN
BACKGROUND: Interventional radiological procedures have significantly increased in recent years. Most of them are minimally invasive and require a short hospitalization, mainly done in other non-radiological units nowadays. Limited bed availability and high occupancy rates in these units create longer waiting lists and cancellations. The aim of this retrospective study is to assess the creation and functioning of a Radiology Day Unit (RDU) and evaluating its outcomes. For this purpose, data about interventional procedures and its complications, incidents, patient safety, quality and satisfaction rates were collected from May 2018 to December 2020, and posteriorly analyzed to evaluate its implementation. RESULTS: During the assessed period, 3841 patients were admitted into the RDU, with a net increase of 13% and 26% in the second and third year, respectively. Procedures performed by the Abdominal Radiology section were the most frequent (76-85%) followed by Interventional Vascular Radiology and Thoracic Radiology. Complication rates were low (1.5%) and most of them were self-limited and managed in the own department. Waiting lists were significantly reduced, from 2 months to 1 week in case of procedures performed by the Abdominal Radiology section. Patient satisfaction was higher than 80% in all the items evaluated with a global satisfaction of 93%. CONCLUSION: The RDU in our hospital has become a vital section for the management and post-procedure caring of patients undergoing interventional procedures in the Radiology Service with low complication rates and overall high levels of quality and patient safety, allowing the reduction of waiting lists and occupancy rates.