Radiologie (Heidelberg, Germany)最新文献_第8页

Magnetic resonance imaging features of progressive familial intrahepatic cholestasis type 3. 进行性家族性肝内胆汁淤积症 3 型的磁共振成像特征。

Radiologie (Heidelberg, Germany) Pub Date : 2024-11-01 Epub Date: 2024-06-03 DOI: 10.1007/s00117-024-01324-x

Nina Xu, Ling Gong, Xiaoxiao Mi, Wenjun Yang, Dong Tang

{"title":"Magnetic resonance imaging features of progressive familial intrahepatic cholestasis type 3.","authors":"Nina Xu, Ling Gong, Xiaoxiao Mi, Wenjun Yang, Dong Tang","doi":"10.1007/s00117-024-01324-x","DOIUrl":"10.1007/s00117-024-01324-x","url":null,"abstract":"Purpose: Progressive familial intrahepatic cholestasis type 3 (PFIC-3) is a rare autosomal recessive cholestatic liver disorder. This study aimed to present the clinical and magnetic resonance imaging (MRI) features of three patients with PFIC‑3.Methods: The study included three patients with cholestasis and pathogenic variants in the ABCB4 gene identified by next-generation sequencing of a targeted-gene panel or by whole-exome sequencing. The clinical, laboratory, histological, molecular, and MRI features of the patients were collected.Results: Three patients (one male and two females) were enrolled. The age when clinical signs and symptoms were first noted was 21, 14, and 39 years, respectively, and the signs and symptoms included pruritus and splenomegaly (in all three patients). Parenchymatous lace-like fibrosis was associated with periportal hyperintensity and periportal halo sign in three patients. Segmental atrophy was observed in two patients, diffuse atrophy was observed in one patient, and liver surface irregularity caused by regenerating nodules was observed in three patients. Magnetic resonance cholangiopancreatography (MRCP) images showed irregular bile duct changes in three patients, focal hilar bile duct stenosis, and local intrahepatic bile duct dilatation.Conclusions: Imaging studies using MRI and MRCP can support the clinical and laboratory results in cases of PFIC‑3 and can also be used as a noninvasive diagnostic option.","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"102-108"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141201305","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}

引用次数: 0

[Forensic radiology]. [法医放射学]。

Radiologie (Heidelberg, Germany) Pub Date : 2024-11-01 Epub Date: 2024-10-24 DOI: 10.1007/s00117-024-01371-4

Stefan Delorme, Sarah Heinze

引用次数: 0

[Radiology of bronchiectasis]. [支气管扩张症放射学]。

Radiologie (Heidelberg, Germany) Pub Date : 2024-11-01 Epub Date: 2024-10-15 DOI: 10.1007/s00117-024-01375-0

Sabine Dettmer

引用次数: 0

Applying chemical shift images (in-phase/opposed phased) for differentiating low-grade from high-grade glioma and comparison with magnetic resonance spectroscopy. 应用化学位移图像（同相/异相）区分低级别和高级别胶质瘤，并与磁共振光谱进行比较。

Radiologie (Heidelberg, Germany) Pub Date : 2024-11-01 Epub Date: 2024-07-08 DOI: 10.1007/s00117-024-01339-4

Bita Abbasi, Afshar Ghamari Khameneh, Hadi Zareh Soltaniye, Gisoo Darban Hosseini Amirkhiz, Ehsan Karimi, Reza Akhavan

{"title":"Applying chemical shift images (in-phase/opposed phased) for differentiating low-grade from high-grade glioma and comparison with magnetic resonance spectroscopy.","authors":"Bita Abbasi, Afshar Ghamari Khameneh, Hadi Zareh Soltaniye, Gisoo Darban Hosseini Amirkhiz, Ehsan Karimi, Reza Akhavan","doi":"10.1007/s00117-024-01339-4","DOIUrl":"10.1007/s00117-024-01339-4","url":null,"abstract":"Background: Grading gliomas is essential for treatment decisions and patient prognosis. In this study we evaluated the in-phase and out-of-phase sequences for distinguishing high-grade (HGG) from low-grade glioma (LGG) and the correlation with magnetic resonance spectroscopy (MRS) results.Methods: This observational study comprised patients with brain tumors referred to our center for brain MRS. The gold standard for diagnosis was based on the World Health Organization (WHO) glioma classification. A standard tumor protocol was accomplished using a 1.5‑T MRS scanner. Before contrast medium administration, extra in- and out-phase sequences were acquired. Three 20-30-mm2 oval regions of interest (ROIs) were placed in the solid component and the signal loss ratio (SLR) was calculated with the following formula: SLR tumor = (SI In phase - SI Opposed phase) / SI In phase Correlations and comparisons between groups were made using the Pearson, chi-square and, independent samples t tests. Receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic performance. Statistical significance was set at p < 0.05.Results: In total, 20 patients were included in the LGG and 13 were included in the HGG group. The mean SLR in the HGG and LGG groups was 3.66 ± 2.12 and 1.63 ± 1.86, respectively (p = 0.01). There was a statistically significant correlation between lipid lactate (0.48, p = 0.004) and free lipid (0.44, p = 0.009) concentrations on MRS with SLR.Conclusions: The SLR is a simple, rapid, and noninvasive marker for differentiating between LGG and HGG. There is a significant correlation with both the concentration and presence of free lipid and lipid-lactate peaks in MRS.","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"116-122"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141560529","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}

引用次数: 0

Evaluation of carotid intima-media thickness measurements in patients with central serous chorioretinopathy. 评估中央浆液性脉络膜视网膜病变患者颈动脉内膜中层厚度的测量结果。

Radiologie (Heidelberg, Germany) Pub Date : 2024-11-01 Epub Date: 2024-09-06 DOI: 10.1007/s00117-024-01358-1

Devrim Toslak, Muhammet Kazım Erol, Ayşe Eda Parlak, Mehmet Bulut, Iclal Erdem Toslak

{"title":"Evaluation of carotid intima-media thickness measurements in patients with central serous chorioretinopathy.","authors":"Devrim Toslak, Muhammet Kazım Erol, Ayşe Eda Parlak, Mehmet Bulut, Iclal Erdem Toslak","doi":"10.1007/s00117-024-01358-1","DOIUrl":"10.1007/s00117-024-01358-1","url":null,"abstract":"Background: Central serous chorioretinopathy (CSC) is a systemic disease more than a disease localized to the eye, and there may be vascular involvement in its pathogenesis.Objective: This study aimed to evaluate the carotid intima-media thickness (IMT) of patients with CSC, to compare it with that of healthy individuals, and to explore whether there might be an association between CSC and subclinical carotid atherosclerotic disease.Materials and methods: Adult patients with CSC (n = 30) and healthy individuals (n = 30) were included in this prospective study. All participants underwent complete ophthalmologic imaging and were then referred to the radiology department. Carotid IMT measurements were performed using ultrasound imaging. Measurements of the two groups were obtained and compared.Results: There was no statistically significant difference between patients with CSC and the control group with respect to age, gender, and smoking habits. The mean (±standard deviation, SD) carotid IMT values obtained by ultrasound measurements for the right and left sides in the patient group were 0.71 mm (± 0.19) and 0.71 mm (± 0.21), respectively. The mean (±SD) carotid IMT values for the right and left sides in the control group were 0.61 mm (± 0.15) and 0.60 mm (± 0.15), respectively. The mean carotid IMT values in the patient group were significantly higher than those in the control group for the right and left sides (p = 0.02 and p = 0.03, respectively).Conclusion: Carotid IMT is increased in patients with CSC compared to healthy individuals. This outcome might reinforce the benefit of carotid artery screening following diagnosis of CSC by ophthalmologists for early detection of subclinical carotid atherosclerotic disease.","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"153-159"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141881","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}

引用次数: 0

Radiological changes in the thymus in patients who have had COVID-19 and in vaccinated persons who have not had COVID-19: a CT study. 接种过 COVID-19 的患者和未接种过 COVID-19 的接种者胸腺的放射学变化：CT 研究。

Radiologie (Heidelberg, Germany) Pub Date : 2024-11-01 Epub Date: 2024-09-11 DOI: 10.1007/s00117-024-01363-4

Berin Tuğtağ Demir, Melike Ruşen Metin Söğütlügil, Fatih Çankal

{"title":"Radiological changes in the thymus in patients who have had COVID-19 and in vaccinated persons who have not had COVID-19: a CT study.","authors":"Berin Tuğtağ Demir, Melike Ruşen Metin Söğütlügil, Fatih Çankal","doi":"10.1007/s00117-024-01363-4","DOIUrl":"10.1007/s00117-024-01363-4","url":null,"abstract":"Background: There are very few and limited studies on the role of the thymus in COVID-19 infection. It is known that thymus morphology changes in individuals vaccinated against COVID-19 although they do not have active infection.Objective: Our study aims to evaluate these differences in detail.Methods: This research was conducted in a total of 141 people, 75 women and 66 men. The research consisted of three groups: unvaccinated persons who have had the disease (n = 49), vaccinated persons who have not had the disease (n = 37), and unvaccinated persons who have not had the disease (control group, n = 55). In the study, the thymus volume, structure, and fat content were investigated and the differences between groups were evaluated.Results: Thymus volume was greatest (0.43 ± 0.11) in the vaccinated group that had not had the disease and smallest (0.15 ± 0.07) in the unvaccinated group that had had the disease, and a significant difference was found between the groups. Thymus steatosis was seen mostly in the unvaccinated group that had had the disease (72%; p = 0.04). The diffuse nodular pattern was only present in the diseased group.Conclusion: This research is the first study in the literature to date on the effect of COVID-19 and vaccines on the thymus. In addition to the acute consequences of the virus, the possibility of negative symptoms after COVID-19 should also be kept in mind, especially in unvaccinated people. Further studies are needed to confirm the results reported herein.","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"139-144"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142302914","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}

引用次数: 0

[Artificial intelligence in radiology : From the Gartner Hype Cycle to Amara's Law]. [放射学中的人工智能：从 Gartner Hype Cycle 到 Amara's Law]。

Radiologie (Heidelberg, Germany) Pub Date : 2024-10-01 Epub Date: 2024-09-24 DOI: 10.1007/s00117-024-01362-5

M Reiser, U Attenberger

引用次数: 0

[Applications of artificial intelligence in radiology]. [人工智能在放射学中的应用]。

Radiologie (Heidelberg, Germany) Pub Date : 2024-10-01 Epub Date: 2024-08-26 DOI: 10.1007/s00117-024-01357-2

Johannes Jahn, Jakob Weiß, Fabian Bamberg, Elmar Kotter

{"title":"[Applications of artificial intelligence in radiology].","authors":"Johannes Jahn, Jakob Weiß, Fabian Bamberg, Elmar Kotter","doi":"10.1007/s00117-024-01357-2","DOIUrl":"10.1007/s00117-024-01357-2","url":null,"abstract":"Background: Artificial intelligence (AI) is increasingly finding its way into routine radiological work.Objective: Presentation of the current advances and applications of AI along the entire radiological patient journey.Methods: Systematic literature review of established AI techniques and current research projects, with reference to consensus recommendations.Results: The applications of AI in radiology cover a wide range, starting with AI-supported scheduling and indications assessment, extending to AI-enhanced image acquisition and reconstruction techniques that have the potential to reduce radiation doses in computed tomography (CT) or acquisition times in magnetic resonance imaging (MRI), while maintaining comparable image quality. These include computer-aided detection and diagnosis, such as fracture recognition or nodule detection. Additionally, methods such as worklist prioritization and structured reporting facilitated by large language models enable a rethinking of the reporting process. The use of AI promises to increase the efficiency of all steps of the radiology workflow and an improved diagnostic accuracy. To achieve this, seamless integration into technical workflows and proven evidence of AI systems are necessary.Conclusion: Applications of AI have the potential to profoundly influence the role of radiologists in the future.","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"752-757"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142054152","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}

引用次数: 0

[Artificial intelligence in cardiovascular radiology : Image acquisition, image reconstruction and workflow optimization]. [人工智能在心血管放射学中的应用：图像采集、图像重建和工作流程优化]。

Radiologie (Heidelberg, Germany) Pub Date : 2024-10-01 Epub Date: 2024-06-24 DOI: 10.1007/s00117-024-01335-8

Ann-Christin Klemenz, Mathias Manzke, Felix G Meinel

{"title":"[Artificial intelligence in cardiovascular radiology : Image acquisition, image reconstruction and workflow optimization].","authors":"Ann-Christin Klemenz, Mathias Manzke, Felix G Meinel","doi":"10.1007/s00117-024-01335-8","DOIUrl":"10.1007/s00117-024-01335-8","url":null,"abstract":"Background: Artificial intelligence (AI) has the potential to fundamentally change radiology workflow.Objectives: This review article provides an overview of AI applications in cardiovascular radiology with a focus on image acquisition, image reconstruction, and workflow optimization.Materials and methods: First, established applications of AI are presented for cardiovascular computed tomography (CT) and magnetic resonance imaging (MRI). Building on this, we describe the range of applications that are currently being developed and evaluated. The practical benefits, opportunities, and potential risks of artificial intelligence in cardiovascular imaging are critically discussed. The presentation is based on the relevant specialist literature and our own clinical and scientific experience.Results: AI-based techniques for image reconstruction are already commercially available and enable dose reduction in cardiovascular CT and accelerated image acquisition in cardiac MRI. Postprocessing of cardiovascular CT and MRI examinations can already be considerably simplified using established AI-based segmentation algorithms. In contrast, the practical benefits of many AI applications aimed at the diagnosis of cardiovascular diseases are less evident. Potential risks such as automation bias and considerations regarding cost efficiency should also be taken into account.Conclusions: In a market characterized by great expectations and rapid technical development, it is important to realistically assess the practical benefits of AI applications for your own hospital or practice.","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"766-772"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141443898","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}

引用次数: 0

[Large language models from OpenAI, Google, Meta, X and Co. : The role of "closed" and "open" models in radiology]. [来自 OpenAI、Google、Meta、X 等公司的大型语言模型："封闭 "和 "开放 "模型在放射学中的作用]。

Radiologie (Heidelberg, Germany) Pub Date : 2024-10-01 Epub Date: 2024-06-07 DOI: 10.1007/s00117-024-01327-8

Sebastian Nowak, Alois M Sprinkart

{"title":"[Large language models from OpenAI, Google, Meta, X and Co. : The role of \"closed\" and \"open\" models in radiology].","authors":"Sebastian Nowak, Alois M Sprinkart","doi":"10.1007/s00117-024-01327-8","DOIUrl":"10.1007/s00117-024-01327-8","url":null,"abstract":"Background: In 2023, the release of ChatGPT triggered an artificial intelligence (AI) boom. The underlying large language models (LLM) of the nonprofit organization \"OpenAI\" are not freely available under open-source licenses, which does not allow on-site implementation inside secure clinic networks. However, efforts are being made by open-source communities, start-ups and large tech companies to democratize the use of LLMs. This opens up the possibility of using LLMs in a data protection-compliant manner and even adapting them to our own data.Objectives: This paper aims to explain the potential of privacy-compliant local LLMs for radiology and to provide insights into the \"open\" versus \"closed\" dynamics of the currently rapidly developing field of AI.Materials and methods: PubMed search for radiology articles with LLMs and subjective selection of references in the sense of a narrative key topic article.Results: Various stakeholders, including large tech companies such as Meta, Google and X, but also European start-ups such as Mistral AI, contribute to the democratization of LLMs by publishing the models (open weights) or by publishing the model and source code (open source). Their performance is lower than current \"closed\" LLMs, such as GPT‑4 from OpenAI.Conclusion: Despite differences in performance, open and thus locally implementable LLMs show great promise for improving the efficiency and quality of diagnostic reporting as well as interaction with patients and enable retrospective extraction of diagnostic information for secondary use of clinical free-text databases for research, teaching or clinical application.","PeriodicalId":74635,"journal":{"name":"Radiologie (Heidelberg, Germany)","volume":" ","pages":"779-786"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141285527","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}

引用次数: 0