Acta radiologica最新文献_第8页

Soft-tissue and half-value windows outperform bone window in ureteral stone size measurements in non-enhanced computed tomography. 在非增强计算机断层扫描中，输尿管结石大小测量的软组织窗和半值窗优于骨窗。

IF 1.2 4区医学

Acta radiologica Pub Date : 2026-03-01 Epub Date: 2025-12-23 DOI: 10.1177/02841851251406451

Klara Sahlén, Anders Magnusson, Ulf Nyman, Marcin Popiolek, Lisa Wernroth, Mats Lidén, Johan Jendeberg

{"title":"Soft-tissue and half-value windows outperform bone window in ureteral stone size measurements in non-enhanced computed tomography.","authors":"Klara Sahlén, Anders Magnusson, Ulf Nyman, Marcin Popiolek, Lisa Wernroth, Mats Lidén, Johan Jendeberg","doi":"10.1177/02841851251406451","DOIUrl":"10.1177/02841851251406451","url":null,"abstract":"BackgroundInterreader variability in ureteral stone size measurements affect the predicted probability of spontaneous stone passage (SSP), especially in proximal ureteral stones. Window settings have been shown to influence interreader variability.PurposeTo investigate interreader variability of ureteral stone size measurements in four different window settings.Material and MethodsPatients with a unilateral proximal ureteral stone ≥2.0 mm detected during emergency computed tomography (CT) were included in this single-center study. Five observers measured each stone in three dimensions in a soft-tissue window, bone window, and two half-value windows (based on the mean [half-value MEAN] or maximum attenuation of the stone [half-value MAX]). Limits of agreement of the mean (LOAM) for stone size in each window setting were assessed. Logistic regression curves were created for predicted probability of SSP.ResultsIn total, 124 patients (87 men, 37 women; mean age = 52 years; age range = 22-82 years) were retrospectively evaluated. LOAM: bone window (±1.6 mm, 95% confidence interval [CI]=1.24-4.90), soft-tissue window (±0.4 mm, 95% CI=0.37-0.82), half-value MEAN window (±0.3 mm, 95% CI=0.24-0.40), half-value MAX window (±0.2 mm, 95% CI=0.14-0.30). Prediction curves aligned and shifted to the left as mean stone size decreased in the half-value window settings.ConclusionThe bone window is unsatisfactory for ureteral stone size measurements. The interreader variability in soft-tissue and half-value windows is on a sub-mm magnitude, with no expected impact on clinical decision-making. The half-value MAX window had the smallest interreader variability and should be considered for reproducible and semiautomated ureteral stone size measurements.","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"255-263"},"PeriodicalIF":1.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12963466/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145809167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pathology outcomes of PI-RADS category 4 lesions in the peripheral zone: impact of MRI signal features and lesion size. 外周区PI-RADS 4类病变的病理结果：MRI信号特征和病变大小的影响

IF 1.2 4区医学

Acta radiologica Pub Date : 2026-03-01 Epub Date: 2026-01-13 DOI: 10.1177/02841851251404167

Aslihan Onay, Baris Bakir, Evrim Colak, Baris Turkbey, Gokhan Ertas, Tarik Esen

{"title":"Pathology outcomes of PI-RADS category 4 lesions in the peripheral zone: impact of MRI signal features and lesion size.","authors":"Aslihan Onay, Baris Bakir, Evrim Colak, Baris Turkbey, Gokhan Ertas, Tarik Esen","doi":"10.1177/02841851251404167","DOIUrl":"10.1177/02841851251404167","url":null,"abstract":"BackgroundPeripheral zone (PZ) PI-RADS category 4 includes lesions with diverse pathological outcomes, leading to varying prostate cancer (PCa) detection rates between pure category 4 (pCategory-4) and upgraded category 4 (Category-3+1) PZ lesions, as well as different lesion sizes.PurposeTo compare PCa detection rates for pCategory-4 and Category-3+1, considering lesion size.Material and MethodsThis retrospective study included 293 participants with PI-RADS V2.1 category-4 PZ lesions, who underwent MRI-targeted biopsy between 2012 and 2021. Overall and clinically significant PCa (csPCa) detection rates for pCategory-4 and Category-3+1 lesions were compared using Pearson's chi-square (χ2) test. In addition, PCa detection rates were analyzed by lesion size (1-5 mm, 5-10 mm, 10-15 mm, and >15 mm) using Spearman's test. Logistic regression analysis included age, PSA, PSA density, lesion volume, and size/scale for PZ lesions.ResultscsPCa detection rates were 60.4% for pCategory-4 and 25.8% for Category-3+1, while overall PCa detection rates were 69.4% and 36.2%, respectively. pCategory-4 showed higher cancer detection rates than Category-3+1 (overall PCa: χ2 = 22.34; P <0.0001, csPCa: χ2 = 21.88; P <0.001). Larger lesions (>5 mm) were more likely to harbor PCa, with significant differences in detection rates observed for pCategory-4 and Category-3+1 (overall PCa: χ2 = 20.05; P <0.001).ConclusionpCategory-4 lesions have significantly higher PCa detection rates compared to Category-3+1. Larger lesion size is associated with increased PCa detection in pCategory-4 lesions but not in Category-3+1.","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"280-289"},"PeriodicalIF":1.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145964874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Explainable deep learning for predicting HER-2 expression in breast cancer: a multicenter study. 可解释的深度学习预测HER-2在乳腺癌中的表达：一项多中心研究。

IF 1.1 4区医学

Acta radiologica Pub Date : 2026-03-01 Epub Date: 2025-12-30 DOI: 10.1177/02841851251392501

Zhendong Lu, Minping Hong, Xinhua Li, Xiaoqian Yao, Zilin Liu, Lifu Lin, Hao Zeng

{"title":"Explainable deep learning for predicting HER-2 expression in breast cancer: a multicenter study.","authors":"Zhendong Lu, Minping Hong, Xinhua Li, Xiaoqian Yao, Zilin Liu, Lifu Lin, Hao Zeng","doi":"10.1177/02841851251392501","DOIUrl":"10.1177/02841851251392501","url":null,"abstract":"BackgroundHuman epidermal growth factor receptor 2 (HER-2) is a key biomarker in breast cancer, guiding therapeutic decisions and prognosis. Conventional assessment relies on tissue biopsy, an invasive procedure that may impose both physical and financial burdens on patients.PurposeTo develop an interpretable deep learning-based imaging framework capable of non-invasively predicting preoperative HER-2 expression.Material and MethodsWe retrospectively analyzed magnetic resonance imaging data and clinical records from 450 patients with pathologically confirmed HER-2 status across four medical centers. Several conventional machine learning algorithms were compared with a deep neural network model. A ResNet-based architecture was used to generate a probability score (D-score) reflecting the likelihood of HER-2 positivity. Independent clinical predictors were identified through logistic regression and integrated with the D-score to construct a combined predictive framework. Model performance was evaluated using receiver operating characteristic analysis, and interpretability techniques were applied to visualize the contribution of individual features.ResultsThe combined deep learning model achieved an area under the curve of 0.809 in the external validation cohort, outperforming the clinical model. Interpretability analysis identified the D-score, rim enhancement, and diameter of the largest axillary lymph node as the most influential predictors, consistent with established clinical knowledge.ConclusionThe proposed model enables accurate, non-invasive, and interpretable prediction of HER-2 expression in breast cancer. It may serve as a preoperative stratification tool, support individualized treatment planning, and reduce reliance on invasive diagnostic procedures.","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"264-272"},"PeriodicalIF":1.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145852892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prospective evaluation of time-resolved MRA in diagnosing and monitoring pulmonary arteriovenous malformations. 时间分辨磁共振成像在诊断和监测肺动静脉畸形中的前瞻性评价。

IF 1.2 4区医学

Acta radiologica Pub Date : 2026-03-01 Epub Date: 2026-02-16 DOI: 10.1177/02841851261419281

Taejun Jeon, Kyung Yeon Lee, Sang Yub Lee, Hong Suk Park, Sun Hye Shin, Sung Mok Kim, Chang Hoon Oh, Kwang Bo Park, Yiseul Kim

{"title":"Prospective evaluation of time-resolved MRA in diagnosing and monitoring pulmonary arteriovenous malformations.","authors":"Taejun Jeon, Kyung Yeon Lee, Sang Yub Lee, Hong Suk Park, Sun Hye Shin, Sung Mok Kim, Chang Hoon Oh, Kwang Bo Park, Yiseul Kim","doi":"10.1177/02841851261419281","DOIUrl":"10.1177/02841851261419281","url":null,"abstract":"BackgroundPulmonary arteriovenous malformations (PAVMs) are rare vascular anomalies that can lead to serious complications, and accurate imaging is essential for detection and post-embolization follow-up.PurposeTo evaluate the diagnostic accuracy and clinical utility of time-resolved magnetic resonance angiography (TR-MRA) in detecting and monitoring PAVMs before and after embolization.Material and MethodsIn this prospective study, 29 patients were initially enrolled between January 2023 and December 2024. After exclusions and loss to follow-up, 27 patients (25 women; median age = 52 years; interquartile range [IQR] = 42-61 years) with 75 PAVMs confirmed on chest computed tomography (CT) were included in the final analysis. Pre-treatment TR-MRA was performed 1 day before embolization, and post-treatment TR-MRA and non-enhanced chest CT were conducted 6 months later. Conventional angiography and pre-procedure CT served as reference standards. TR-MRA was performed using a 3-T scanner with a temporal resolution of 1-1.2 s. Two independent readers evaluated TR-MRA findings.ResultsAmong 75 PAVMs, 11 were previously treated lesions, including two cases of recanalization. Pre-treatment TR-MRA detected 98% (62/63) of naïve PAVMs confirmed on CT and angiography. Post-treatment TR-MRA detected 98% (60/61) of treated lesions. Inter-observer agreement was substantial to excellent (κ = 0.74 for pre-procedure diagnosis of PAVMs and 1.00 for post-procedure follow-up; P <0.05).ConclusionTR-MRA demonstrated excellent diagnostic performance for both pre- and post-embolization evaluation of PAVMs, providing reliable, radiation-free surveillance with diagnostic performance comparable to conventional angiography.","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"324-332"},"PeriodicalIF":1.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146199909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiparametric cardiovascular magnetic resonance imaging for the diagnosis of acute myocarditis: a single-center study. 多参数心血管磁共振成像诊断急性心肌炎：一项单中心研究。

IF 1.2 4区医学

Acta radiologica Pub Date : 2026-03-01 Epub Date: 2026-02-09 DOI: 10.1177/02841851261418633

Zhiyong Chen, Zhangli Xing, Enshuang Zheng, Mingcong Luo, Yunjing Xue, Bin Sun

{"title":"Multiparametric cardiovascular magnetic resonance imaging for the diagnosis of acute myocarditis: a single-center study.","authors":"Zhiyong Chen, Zhangli Xing, Enshuang Zheng, Mingcong Luo, Yunjing Xue, Bin Sun","doi":"10.1177/02841851261418633","DOIUrl":"10.1177/02841851261418633","url":null,"abstract":"BackgroundThe Lake Louise Criteria (LLC) were updated in 2018 to improve accuracy in evaluating myocarditis. However, the diagnostic value of combining conventional magnetic resonance imaging (MRI) with contrast-enhanced whole-heart MRI (CE WH-MRI) in the diagnosis of acute myocarditis (AM) has not been determined.PurposeTo assess the diagnostic accuracy of the updated LLC and test the incremental value of CE WH-MRI in diagnosis of AM.Material and MethodsBetween March 2020 and November 2023, a total of 37 patients with clinically suspected AM were prospectively recruited for this study. The cardiac MR (CMR) protocol for myocarditis and controls included T2-STIR, breath-hold steady-state free precession, native T1, T2, CE WH-MRI, late gadolinium enhancement (LGE), and post-contrast T1 mapping.ResultsFor global native T1, the ideal cutoff value was 1308.5 ms (area under the curve [AUC]=0.879, sensitivity=82%, specificity=79%); for global T2, 43.2 ms (AUC=0.889, sensitivity=96%, specificity=75%), for ECV, 30.5% (AUC=0.946, sensitivity=97%, specificity=93%). The CE WH-MRI sequence detected 268 myocardial involvement (MI) segments, whereas 2D-LGE images identified 181 MI segments. Among 37 patients, 34 (91.9%) met the updated LLC definition for diagnosis, the AUC of updated LLC was 0.946.ConclusionThe updated LLC, as a recommended criterion for the diagnosis of AM, had better diagnostic accuracy compared with CMR mapping imaging. Moreover, this study highlighted the additional diagnostic value of CE WH-MRI in the identification of AM. Then, multiparametric CMR imaging can provide a satisfactory diagnostic value to enhance the accuracy of diagnosing AM.","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"304-313"},"PeriodicalIF":1.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146148762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hepatic venous malformations versus "hemangiomas": a clinical, radiologic, and pathologic analysis. 肝静脉畸形与“血管瘤”：临床、放射学和病理分析。

IF 1.1 4区医学

Acta radiologica Pub Date : 2026-03-01 Epub Date: 2026-01-06 DOI: 10.1177/02841851251404165

Mohammad A Amarneh, Mason C Vaillancourt, Jonathan Davick, Usama Anwar, Ahmad I Alomari

{"title":"Hepatic venous malformations versus \"hemangiomas\": a clinical, radiologic, and pathologic analysis.","authors":"Mohammad A Amarneh, Mason C Vaillancourt, Jonathan Davick, Usama Anwar, Ahmad I Alomari","doi":"10.1177/02841851251404165","DOIUrl":"10.1177/02841851251404165","url":null,"abstract":"BackgroundHepatic venous malformations (VMs) are adult-onset vascular anomalies that continue to be inaccurately labeled as \"hepatic hemangiomas.\" Despite the widespread adoption of the International Society for the Study of Vascular Anomalies (ISSVA) classification, which distinguishes VMs from vascular tumors, outdated terminology persists. This misclassification may hinder diagnostic accuracy and limit the application of appropriate management strategies, including sclerotherapy.PurposeTo analyze the clinical, radiographic, and histopathologic characteristics of hepatic VMs in adults and assess the accuracy of the existing diagnoses.Material and MethodsThis is a retrospective review of a large tertiary referral center with a statewide catchment area, analyzing adult patients with pathology-proven hepatic VMs referred between January 2000 and July 2021. The original diagnosis and data on clinical, radiographic, pathological, and treatment methods of pathology-proven lesions were collected and analyzed.ResultsA total of 24 adult patients (13 women; mean age = 53.5 years) met the inclusion criteria. In 20 (83.3%) cases, imaging labeled the lesion as \"hemangioma\" before pathology confirmed the same diagnosis; in 4 (16.7%) cases, imaging initially suggested metastases, but pathology labeled them as \"hemangioma.\" Most lesions were solitary (71%) and asymptomatic (67%). Symptomatic lesions had a larger mean diameter (9.3 cm) compared with the overall cohort (4.42 cm). Careful re-review of imaging and histopathology confirmed all lesions to be VMs.ConclusionHepatic VMs are frequently misdiagnosed as hemangiomas. Accurate classification is essential for improving clinical understanding, guiding treatment, and aligning terminology with current vascular anomaly standards.","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"273-279"},"PeriodicalIF":1.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145909683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hip fracture detection on radiographs using an artificial intelligence-based support tool: a diagnostic accuracy study. 使用基于人工智能的支持工具在x线片上检测髋部骨折：诊断准确性研究。

IF 1.2 4区医学

Acta radiologica Pub Date : 2026-03-01 Epub Date: 2026-02-09 DOI: 10.1177/02841851261417239

Nicholas Bonde, Kristian Kjærgaard, Henriette Aunaas, Stine Hangaard, Cecilie Daugaard, Janus Nybing, Mikael Boesen, Rikke Bachmann, Michael Lundemann, Søren Overgaard

{"title":"Hip fracture detection on radiographs using an artificial intelligence-based support tool: a diagnostic accuracy study.","authors":"Nicholas Bonde, Kristian Kjærgaard, Henriette Aunaas, Stine Hangaard, Cecilie Daugaard, Janus Nybing, Mikael Boesen, Rikke Bachmann, Michael Lundemann, Søren Overgaard","doi":"10.1177/02841851261417239","DOIUrl":"10.1177/02841851261417239","url":null,"abstract":"BackgroundAssessment of subtle hip fractures on radiographs can be difficult, especially among less experienced emergency physicians, which may prolong the diagnosis and ultimately time to surgery. Clinical artificial intelligence (AI) decision support tools have shown great potential in assisting the detection of fractures on radiographs.PurposeTo investigate how a CE-marked AI fracture detection tool affects junior doctors' diagnostic accuracy in detecting hip fractures on radiographs.Material and MethodsEight junior doctors with affiliation to the Accident and Emergency (A&E) department read 246 hip radiographic examinations with and without AI support. The reference standard was determined by two musculoskeletal radiologists, to measure sensitivity and specificity for readers without and with support from the AI tool as well as the AI tool's standalone performance.ResultsMean sensitivity in detecting hip fractures increased significantly from 0.89 (95% confidence interval [CI] = 0.85-0.93) without AI support to 0.94 (95% CI = 0.92-0.97) (χ2 = 9.27; P = 0.002) with AI support and the false-negative cases was thereby reduced by 49%. There was no significant change in mean specificity 0.90 (95% CI = 0.86-0.93) to 0.91 (95% CI = 0.88-0.94) (χ2 = 0.34; P = 0.56). The AI standalone performance was 0.99 (95% CI = 0.99-1.00) and 0.73 (95% CI = 0.67-0.80) in sensitivity and specificity, respectively.ConclusionOut of eight junior doctors, seven detected more fractures with AI assistance than without. The applied performance gain for readers highlights the value of the product.","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"314-323"},"PeriodicalIF":1.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146148724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The added value of preoperative thoracic CT imaging in the management of T1a renal cell carcinoma. 术前胸部CT成像在T1a肾细胞癌治疗中的附加价值。

IF 1.2 4区医学

Acta radiologica Pub Date : 2026-03-01 Epub Date: 2026-01-29 DOI: 10.1177/02841851251411039

Elin Gullberg Bohlin, Maria Hermann, Tomas Thiel, Per-Olof Lundgren

{"title":"The added value of preoperative thoracic CT imaging in the management of T1a renal cell carcinoma.","authors":"Elin Gullberg Bohlin, Maria Hermann, Tomas Thiel, Per-Olof Lundgren","doi":"10.1177/02841851251411039","DOIUrl":"10.1177/02841851251411039","url":null,"abstract":"BackgroundIn Sweden, approximately 1300 patients are diagnosed with renal cell carcinoma (RCC) every year. The use of a computed tomography (CT) scan of the thoracic cavity in the preoperative work up of kidney cancer has increased in Sweden, and current national guidelines recommend that all patients, regardless of tumor size, should be evaluated this wayPurposeTo investigate the need for the preoperative routine to include a CT scan of the thoracic cavity when investigating renal masses 4 cm or smaller.Material and MethodsBetween 2017 and 2022, 496 patients at a university hospital and a regional hospital received treatment with curative intent for T1a tumors. Patient data and pathological findings were registered from patient records.ResultsMedian follow-up was 38 months. A total of 260 patients were examined with a preoperative CT scan of the thoracic cavity without pathology: 46 had not been scanned, 118 had indeterminate lesions, and metastasis was suspected in two cases. During follow-up, six patients had local relapse and none was diagnosed with lung metastasis. In no case did the preoperative CT of the thoracic cavity contribute to an early discovery of lung metastases.ConclusionOur conclusion is that a chest CT scan is superfluous in the preoperative work-up. The cost, and the time to treatment, could be reduced by precluding the chest CT in the preoperative work up for small renal tumors.","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"290-294"},"PeriodicalIF":1.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12963474/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146083546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluating the MRI-based clear cell likelihood score: is it clinically adequate for predicting clear cell carcinoma? 评估基于mri的透明细胞可能性评分：它在临床上是否足以预测透明细胞癌？

IF 1.1 4区医学

Acta radiologica Pub Date : 2026-02-01 Epub Date: 2025-11-11 DOI: 10.1177/02841851251391647

Nesrin Gunduz, Merve Gezgin, Huseyin Ozgur Kazan, Mehmet Caglar Cakıcı, Asıf Yıldırım

{"title":"Evaluating the MRI-based clear cell likelihood score: is it clinically adequate for predicting clear cell carcinoma?","authors":"Nesrin Gunduz, Merve Gezgin, Huseyin Ozgur Kazan, Mehmet Caglar Cakıcı, Asıf Yıldırım","doi":"10.1177/02841851251391647","DOIUrl":"10.1177/02841851251391647","url":null,"abstract":"BackgroundAccurate differentiation of clear cell renal cell carcinoma (ccRCC), the most aggressive subtype of renal masses, is crucial for guiding management decisions. Magnetic resonance imaging (MRI)-based Clear Cell Likelihood Score (ccLS) has recently emerged as a useful tool in this regard.PurposeTo evaluate the diagnostic performance and inter-observer reliability of the MRI-based ccLS in distinguishing ccRCC from other renal tumors that could not be clearly classified with conventional imaging.Material and MethodsThis single-center, retrospective study included 176 patients with renal masses who underwent preoperative dynamic contrast-enhanced MRI. Two radiologists independently reviewed the images, applying the ccLS scoring system based on T2 signal intensity, corticomedullary phase enhancement, and other imaging features as previously described. The histopathological results were used as the reference standard. The diagnostic performance of ccLS, with varying thresholds, was assessed, and inter-observer agreement was evaluated.ResultsThe study found that the ccLS system demonstrated high sensitivity (93.3%) but low specificity (47.9%) at a threshold of ≥3 and balanced accuracy (sensitivity = 81%, specificity = 70.4%) at a threshold of ≥4. Larger tumors (≥4 cm) showed superior diagnostic performance. MRI features such as T2 hyperintensity and corticomedullary hypervascularity were significantly more frequent in ccRCC compared to non-ccRCC (P <0.001). The inter-observer agreement for ccLS and key MRI features including T2 hyperintensity and corticomedullary hypervascularity were substantial (weighted kappa = 0.71-0.74).ConclusionAlthough highly reproducible, the current ccLS algorithm, should be used cautiously in distinguishing ccRCC from other renal masses that cannot be easily classified with conventional imaging.","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"99-107"},"PeriodicalIF":1.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145494445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Role of computed tomography performed 10 min after computed tomography-guided transthoracic lung biopsy in the management of complicated pneumothorax. 计算机断层扫描引导下经胸肺活检后10分钟进行计算机断层扫描在复杂气胸治疗中的作用。

IF 1.1 4区医学

Acta radiologica Pub Date : 2026-02-01 Epub Date: 2025-12-17 DOI: 10.1177/02841851251404943

Junki Shibata, Takuji Yamagami, Tomoaki Yamanishi, Momo Hiraoka, Tomohiro Matsumoto, Rika Yoshimatsu

{"title":"Role of computed tomography performed 10 min after computed tomography-guided transthoracic lung biopsy in the management of complicated pneumothorax.","authors":"Junki Shibata, Takuji Yamagami, Tomoaki Yamanishi, Momo Hiraoka, Tomohiro Matsumoto, Rika Yoshimatsu","doi":"10.1177/02841851251404943","DOIUrl":"10.1177/02841851251404943","url":null,"abstract":"BackgroundManagement strategies for small pneumothorax after computed tomography (CT)-guided lung biopsy may vary between institutions, and the approach to follow-up care can differ.PurposeTo evaluate the role of CT imaging performed 10 min after CT-guided lung biopsy in managing complicated small pneumothorax, particularly to assess its progression and guide subsequent treatment decisions.Material and MethodsA retrospective study was conducted on 86 cases of small pneumothorax identified immediately after CT-guided lung biopsy at our institution between January 2016 and December 2023. Small pneumothorax was defined as having insufficient space to insert a needle for aspiration. CT was performed 10 min after biopsy to assess pneumothorax progression, and cases were categorized into three groups: decreased, unchanged, or increased pneumothorax. Subsequent clinical courses and treatments were evaluated.ResultsAccording to CT performed 10 min after biopsy, pneumothorax decreased, unchanged, and increased in 37 (43.0%), 22 (25.6%), and 27 (31.4%) cases, respectively. Three cases (3.5%) with increased pneumothorax required manual aspiration at that time, which resolved within 3 days. In the 59 cases in which pneumothorax decreased or remained unchanged, 58 (98.3%) resolved spontaneously, while one case worsened after 4 days, requiring delayed aspiration.ConclusionCT performed 10 min following biopsy may be a valuable tool for predicting the course of small pneumothorax. In the absence of worsening, the likelihood of subsequent progression requiring treatment is minimal. Observation for 10 min and performing manual aspiration in cases with worsening pneumothorax may reduce the need for further treatment, contributing to improved patient management.","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"199-207"},"PeriodicalIF":1.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145773056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0