Pub Date : 2024-07-01DOI: 10.1016/j.rxeng.2023.11.007
{"title":"Persistent left superior vena cava: clinical and radiological significance","authors":"","doi":"10.1016/j.rxeng.2023.11.007","DOIUrl":"10.1016/j.rxeng.2023.11.007","url":null,"abstract":"","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141842724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.rxeng.2023.01.014
Coaching is an effective tool that seeks personal reflection as a way for people to find their own solutions. In this article we show our results when applying it in our Radiology Service. The article includes a bibliographic review on its potential applications in Medicine and in Radiology. We specifically reviewed the fields of improving self-care and preventing burnout as well as the teaching field, both for residents in training and for certified radiologists.
{"title":"Coaching in a Radiology department","authors":"","doi":"10.1016/j.rxeng.2023.01.014","DOIUrl":"10.1016/j.rxeng.2023.01.014","url":null,"abstract":"<div><p>Coaching is an effective tool that seeks personal reflection as a way for people to find their own solutions. In this article we show our results when applying it in our Radiology Service. The article includes a bibliographic review on its potential applications in Medicine and in Radiology. We specifically reviewed the fields of improving self-care and preventing burnout as well as the teaching field, both for residents in training and for certified radiologists.</p></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141847799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.rxeng.2023.05.010
Transcatheter aortic valve implantation (TAVI) is the alternative to surgical valve replacement, expanding its indications in the latest guidelines. Multimodal CT (MDCT) is essential in patient selection and detection of complications. Vascular complications are frequent, so it is important to analyse the anatomy of the vessels before the procedure. Regarding annular ruptures and ventricular perforations, the volume and distribution of calcium and the ventricular diameter play an important role. Finally, valve migration is a rare complication that can occur both during and after TAVI. Proper planning of the MDCT procedure reduces the risk of complications and gives the interventional cardiologist security both before and during the procedure.
{"title":"The importance of MDCT in the evaluation of risk factors before the TAVI procedure and its complications after implantation","authors":"","doi":"10.1016/j.rxeng.2023.05.010","DOIUrl":"10.1016/j.rxeng.2023.05.010","url":null,"abstract":"<div><p>Transcatheter aortic valve implantation (TAVI) is the alternative to surgical valve replacement, expanding its indications in the latest guidelines. Multimodal CT (MDCT) is essential in patient selection and detection of complications. Vascular complications are frequent, so it is important to analyse the anatomy of the vessels before the procedure. Regarding annular ruptures and ventricular perforations, the volume and distribution of calcium and the ventricular diameter play an important role. Finally, valve migration is a rare complication that can occur both during and after TAVI. Proper planning of the MDCT procedure reduces the risk of complications and gives the interventional cardiologist security both before and during the procedure.</p></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141840582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.rxeng.2023.03.007
Papillary endothelial hyperplasia (PEH) or Masson's tumor is a rare benign vascular tumor that usually appears in the soft tissues of the head and neck, trunk and extremities, being extremely rare in the breast. Its diagnosis can be a challenge, especially in the follow-up of patients with previous disease of breast carcinoma. We present the case of a 65-year-old patient, with a history of bilateral breast cancer and reconstruction with implants, who presented a Masson's tumor during follow-up. An ultrasound scan was performed, showing a well-circumscribed mass in the left breast, located in the posterior contour of the implant. Subsequently, magnetic resonance imaging (MR) depicted an enhancing tumor, without infiltration of adjacent structures. Finally, the definitive anatomopathological diagnosis was obtained after surgical excision.
{"title":"Papillary endothelial hyperplasia (Masson’s tumor) of the breast: A diagnostic challenge","authors":"","doi":"10.1016/j.rxeng.2023.03.007","DOIUrl":"10.1016/j.rxeng.2023.03.007","url":null,"abstract":"<div><p><span>Papillary endothelial hyperplasia (PEH) or Masson's tumor is a rare benign </span>vascular tumor<span> that usually appears in the soft tissues of the head and neck, trunk and extremities, being extremely rare in the breast. Its diagnosis can be a challenge, especially in the follow-up of patients with previous disease of breast carcinoma. We present the case of a 65-year-old patient, with a history of bilateral breast cancer and reconstruction with implants, who presented a Masson's tumor during follow-up. An ultrasound scan was performed, showing a well-circumscribed mass in the left breast, located in the posterior contour of the implant. Subsequently, magnetic resonance imaging (MR) depicted an enhancing tumor, without infiltration of adjacent structures. Finally, the definitive anatomopathological diagnosis was obtained after surgical excision.</span></p></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141848159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.rxeng.2023.05.009
Thoracic surgical procedures are increasing in recent years, and there are different types of lung resections. Postsurgical complications vary depending on the type of resection and the time elapsed, with imaging techniques being key in the postoperative follow-up. Multidisciplinary management of these patients throughout the perioperative period is essential to ensure an optimal surgical outcome. This pictorial review will review the different thoracic surgical techniques, normal postoperative findings and postsurgical complications.
{"title":"Imaging findings of the postoperative chest: What the radiologist should know","authors":"","doi":"10.1016/j.rxeng.2023.05.009","DOIUrl":"10.1016/j.rxeng.2023.05.009","url":null,"abstract":"<div><p><span><span>Thoracic surgical procedures are increasing in recent years, and there are different types of </span>lung resections<span>. Postsurgical complications<span> vary depending on the type of resection and the time elapsed, with imaging techniques being key in the postoperative follow-up. Multidisciplinary management of these patients throughout the </span></span></span>perioperative period is essential to ensure an optimal surgical outcome. This pictorial review will review the different thoracic surgical techniques, normal postoperative findings and postsurgical complications.</p></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141852854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.rxeng.2023.01.015
Introduction
In recent years, systems that use artificial intelligence (AI) in medical imaging have been developed, such as the interpretation of chest X-ray to rule out pathology. This has produced an increase in systematic reviews (SR) published on this topic. This article aims to evaluate the methodological quality of SRs that use AI for the diagnosis of thoracic pathology by simple chest X-ray.
Material and methods
SRs evaluating the use of AI systems for the automatic reading of chest X-ray were selected. Searches were conducted (from inception to May 2022): PubMed, EMBASE, and the Cochrane Database of Systematic Reviews. Two investigators selected the reviews. From each SR, general, methodological and transparency characteristics were extracted. The PRISMA statement for diagnostic tests (PRISMA-DTA) and AMSTAR-2 were used. A narrative synthesis of the evidence was performed. Protocol registry: Open Science Framework: https://osf.io/4b6u2/.
Results
After applying the inclusion and exclusion criteria, 7 SRs were selected (mean of 36 included studies per review). All the included SRs evaluated “deep learning” systems in which chest X-ray was used for the diagnosis of infectious diseases. Only 2 (29%) SRs indicated the existence of a review protocol. None of the SRs specified the design of the included studies or provided a list of excluded studies with their justification. Six (86%) SRs mentioned the use of PRISMA or one of its extensions. The risk of bias assessment was performed in 4 (57%) SRs. One (14%) SR included studies with some validation of AI techniques. Five (71%) SRs presented results in favour of the diagnostic capacity of the intervention. All SRs were rated "critically low" following AMSTAR-2 criteria.
Conclusions
The methodological quality of SRs that use AI systems in chest radiography can be improved. The lack of compliance in some items of the tools used means that the SRs published in this field must be interpreted with caution.
导言近年来,在医学影像中使用人工智能(AI)的系统不断发展,例如解读胸部 X 光片以排除病变。因此,有关这一主题的系统综述(SR)也越来越多。本文旨在评估使用人工智能通过简单胸部X光诊断胸部病变的系统综述的方法学质量:材料和方法:选取了评估使用人工智能系统自动读取胸部 X 光片的研究报告。进行了检索(从开始到 2022 年 5 月):PubMed、EMBASE 和 Cochrane 系统综述数据库。两名研究者对综述进行了筛选。从每篇综述中提取一般特征、方法特征和透明度特征。采用了诊断测试的 PRISMA 声明(PRISMA-DTA)和 AMSTAR-2。对证据进行了叙述性综合。协议注册:开放科学框架:https://osf.io/4b6u2/.Results:在应用纳入和排除标准后,共筛选出 7 篇 SR(每篇综述平均纳入 36 项研究)。所有纳入的研究报告都对 "深度学习 "系统进行了评估,其中胸部 X 光片被用于诊断传染性疾病。只有 2 篇(29%)SR 表明有综述协议。没有一份员工代表说明了所纳入研究的设计,也没有提供排除研究的清单及其理由。有 6 份(86%)员工代表提到使用了 PRISMA 或其扩展版之一。有 4 份(57%)SR 进行了偏倚风险评估。一份(14%)标准报告纳入了人工智能技术的一些验证研究。有 5 份(71%)标准研究报告的结果支持干预措施的诊断能力。根据 AMSTAR-2 标准,所有 SR 均被评为 "极低":结论:在胸部放射摄影中使用人工智能系统的 SR 的方法学质量有待提高。所使用工具的某些项目缺乏合规性,这意味着必须谨慎解读该领域发表的研究报告。
{"title":"Methodological evaluation of systematic reviews based on the use of artificial intelligence systems in chest radiography","authors":"","doi":"10.1016/j.rxeng.2023.01.015","DOIUrl":"10.1016/j.rxeng.2023.01.015","url":null,"abstract":"<div><h3>Introduction</h3><p>In recent years, systems that use artificial intelligence (AI) in medical imaging have been developed, such as the interpretation of chest X-ray to rule out pathology. This has produced an increase in systematic reviews (SR) published on this topic. This article aims to evaluate the methodological quality of SRs that use AI for the diagnosis of thoracic pathology by simple chest X-ray.</p></div><div><h3>Material and methods</h3><p>SRs evaluating the use of AI systems for the automatic reading of chest X-ray were selected. Searches were conducted (from inception to May 2022): PubMed, EMBASE, and the Cochrane Database of Systematic Reviews. Two investigators selected the reviews. From each SR, general, methodological and transparency characteristics were extracted. The PRISMA statement for diagnostic tests (PRISMA-DTA) and AMSTAR-2 were used. A narrative synthesis of the evidence was performed. Protocol registry: Open Science Framework: <span><span>https://osf.io/4b6u2/</span><svg><path></path></svg></span>.</p></div><div><h3>Results</h3><p>After applying the inclusion and exclusion criteria, 7 SRs were selected (mean of 36 included studies per review). All the included SRs evaluated “deep learning” systems in which chest X-ray was used for the diagnosis of infectious diseases. Only 2 (29%) SRs indicated the existence of a review protocol. None of the SRs specified the design of the included studies or provided a list of excluded studies with their justification. Six (86%) SRs mentioned the use of PRISMA or one of its extensions. The risk of bias assessment was performed in 4 (57%) SRs. One (14%) SR included studies with some validation of AI techniques. Five (71%) SRs presented results in favour of the diagnostic capacity of the intervention. All SRs were rated \"critically low\" following AMSTAR-2 criteria.</p></div><div><h3>Conclusions</h3><p>The methodological quality of SRs that use AI systems in chest radiography can be improved. The lack of compliance in some items of the tools used means that the SRs published in this field must be interpreted with caution.</p></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141877064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01DOI: 10.1016/j.rxeng.2023.01.013
Introduction
Pneumatosis intestinalis is a radiological finding characterized by the presence of gas in the bowel wall that is associated with multiple entities. Our aim is to know its incidence in lung transplant patients, its physiopathology and its clinical relevance.
Methods
A search of patients with pneumatosis intestinalis was performed in the database of the Lung Transplant Unit of our hospital. The presence of pneumatosis after transplantation was confirmed in all of them and relevant demographic, clinical and imaging variables were collected to evaluate its association and clinical expression, as well as the therapeutic approach after the findings.
Results
The incidence of pneumatosis intestinalis after lung transplantation in our center was 3.1% (17/546), developing between 9 and 1270 days after transplantation (mean, 198 days; median 68 days). Most of the patients were asymptomatic or with mild symptoms, without any major analytical alterations, and with a cystic and expansive radiological appearance. Pneumoperitoneum was associated in 70% of the patients (12/17). Conservative treatment was chosen in all cases. The mean time to resolution was 389 days.
Conclusion
Pneumatosis intestinalis in lung transplant patients is a rare complication of uncertain origin, which can appear for a very long period of time after transplantation. It has little clinical relevance and can be managed without other diagnostic or therapeutic interventions.
{"title":"Evaluation of pneumatosis intestinalis as a complication of lung transplantation","authors":"","doi":"10.1016/j.rxeng.2023.01.013","DOIUrl":"10.1016/j.rxeng.2023.01.013","url":null,"abstract":"<div><h3>Introduction</h3><p>Pneumatosis intestinalis<span><span> is a radiological finding characterized by the presence of gas in the bowel wall that is associated with multiple entities. Our aim is to know its incidence in </span>lung transplant<span> patients, its physiopathology and its clinical relevance.</span></span></p></div><div><h3>Methods</h3><p>A search of patients with pneumatosis intestinalis was performed in the database of the Lung Transplant Unit of our hospital. The presence of pneumatosis after transplantation was confirmed in all of them and relevant demographic, clinical and imaging variables were collected to evaluate its association and clinical expression, as well as the therapeutic approach after the findings.</p></div><div><h3>Results</h3><p>The incidence of pneumatosis intestinalis after lung transplantation in our center was 3.1% (17/546), developing between 9 and 1270 days after transplantation (mean, 198 days; median 68 days). Most of the patients were asymptomatic or with mild symptoms, without any major analytical alterations, and with a cystic and expansive radiological appearance. Pneumoperitoneum was associated in 70% of the patients (12/17). Conservative treatment was chosen in all cases. The mean time to resolution was 389 days.</p></div><div><h3>Conclusion</h3><p>Pneumatosis intestinalis in lung transplant patients is a rare complication of uncertain origin, which can appear for a very long period of time after transplantation. It has little clinical relevance and can be managed without other diagnostic or therapeutic interventions.</p></div>","PeriodicalId":94185,"journal":{"name":"Radiologia","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141844790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}