Wenrui Yang , Jiandong Niu , Yuhui Xiong , Xucong Wang , Jian Li , Zhuo Wang , Dengyan Song , Bing Chen
{"title":"Gray matter microstructural abnormalities in temporal lobe epilepsy with hippocampal sclerosis and MRI negative","authors":"Wenrui Yang , Jiandong Niu , Yuhui Xiong , Xucong Wang , Jian Li , Zhuo Wang , Dengyan Song , Bing Chen","doi":"10.1016/j.ejrad.2025.112455","DOIUrl":"10.1016/j.ejrad.2025.112455","url":null,"abstract":"<div><h3>Objective</h3><div>To assess the changes of cortical microstructure in patients with temporal lobe epilepsy combined with hippocampal sclerosis (TLE-HS) and MRI-negative TLE (negative-TLE) and its correlation with clinical characteristics.</div></div><div><h3>Methods</h3><div>A total of 59 TLE-HS patients, 47 negative-TLE patients, and 67 healthy controls (HC) participated in this study. Gray matter-based spatial statistics (GBSS) analysis was performed using neurite orientation dispersion and density imaging (NODDI) data to compare differences in gray matter (GM) microstructure across the groups, including neurite density index (NDI), orientation dispersion index (ODI). Microstructural indicators were determined to be statistically significant using the threshold-free cluster enhancement method, and multiple comparisons were corrected using the family-wise error (FWE) method. <em>P</em><sub>FWE</sub> < 0.05 was considered statistically significant. The correlation between the indicator values of significantly different brain regions and clinical characteristics was also analyzed.</div></div><div><h3>Results</h3><div>Compared with the HC group, TLE-HS exhibited widespread reductions in NDI and ODI values within GM, and these changes were primarily affecting the bilateral frontotemporal lobes and limbic system. In contrast to the negative-TLE group, the decrease in NDI in TLE-HS patients was more localized and showed partial lateralization. This decrease was most pronounced in the bilateral frontal pole, frontal gyrus, left temporal pole, temporal gyrus, parahippocampal gyrus, insula, precuneus, cingulate gyrus, and anterior and posterior central gyrus. The NDI values in several gray matter regions in TLE patients were positively correlated with disease onset age, with moderate positive correlations predominantly observed in the middle frontal gyrus, temporal pole, and parahippocampal gyrus. Additionally, NDI values in the parahippocampal gyrus were negatively correlated with disease duration.</div></div><div><h3>Conclusion</h3><div>TLE-HS patients show extensive GM microstructural changes, primarily in the frontotemporal lobe and limbic system. Our findings support the hypothesis that TLE-HS and MRI-negative TLE represent two distinct pathological entities. This study provides strong evidence of the pattern of microstructural alterations in TLE and offers insights into the understanding of GM microstructural changes in TLE patients.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"193 ","pages":"Article 112455"},"PeriodicalIF":3.3,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145243971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel Raskin , Eyal Klang , Yiftach Barash , Panagiotis Korfiatis , Sasan Partovi , Colin J. McCarthy , Girish Nadkarni , Jeremy D. Collins , Vera Sorin
{"title":"Deep learning in abdominopelvic digital subtraction angiography: a systematic review of interventional radiology applications","authors":"Daniel Raskin , Eyal Klang , Yiftach Barash , Panagiotis Korfiatis , Sasan Partovi , Colin J. McCarthy , Girish Nadkarni , Jeremy D. Collins , Vera Sorin","doi":"10.1016/j.ejrad.2025.112456","DOIUrl":"10.1016/j.ejrad.2025.112456","url":null,"abstract":"<div><h3>Purpose</h3><div>Deep learning (DL) is increasingly explored in interventional radiology (IR) applications. This systematic review evaluates current DL-based applications for digital subtraction angiography (DSA) in abdominopelvic interventions, summarizes performance, and identifies gaps in the literature.</div></div><div><h3>Materials and methods</h3><div>Following PRISMA guidelines, we searched MEDLINE, Scopus, and Google Scholar for studies published up to February 1, 2025. English-language original articles assessing DL methods for automatic DSA image analysis were included, and study quality was evaluated with QUADAS-2.</div></div><div><h3>Results</h3><div>Nine studies were included. Two focused on hemorrhage detection, in which area under the curve (AUC) values ranged between 0.80–0.85. Four examined image enhancement, one performed vessel segmentation, and one applied classification of the anatomic location. Only a single study evaluated treatment response prediction, with an accuracy of 0.75. Most models were tested on small datasets from single centers, limiting their generalizability.</div></div><div><h3>Conclusion</h3><div>Preliminary studies show that DL can improve hemorrhage detection, image quality, and vessel segmentation in DSA. However, larger, prospectively validated datasets are warranted. Currently no FDA-approved DL tools exist for abdominal or pelvic DSA. Future efforts should explore advanced generative AI and multimodal approaches.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"193 ","pages":"Article 112456"},"PeriodicalIF":3.3,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145184863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Federico Collettini , Hannes Gottschalk , Timo Alexander Auer , Christoph Röcken , Florian Roßner , Barbara Heitplatz , Max Masthoff , Julian Andersson
{"title":"Pathological response after degradable starch microspheres transarterial chemoembolization for hepatocellular carcinoma: a Histopathological study on explanted livers","authors":"Federico Collettini , Hannes Gottschalk , Timo Alexander Auer , Christoph Röcken , Florian Roßner , Barbara Heitplatz , Max Masthoff , Julian Andersson","doi":"10.1016/j.ejrad.2025.112454","DOIUrl":"10.1016/j.ejrad.2025.112454","url":null,"abstract":"<div><h3>Purpose</h3><div>To evaluate the pathological response after degradable starch microspheres transarterial chemoembolization (DSM-TACE) conducted to bridge or downstage hepatocellular carcinoma (HCC) patients to liver transplantation.</div></div><div><h3>Materials and methods</h3><div>A multi-center retrospective study was conducted on consecutive patients with HCC who underwent liver transplantation after receiving DSM-TACE as a stand-alone therapy for bridging or downstaging between January 1, 2010, and December 31, 2022. Pathological response was evaluated histologically by board certified surgical pathologists. Tumor necrosis was estimated histologically as a percentage area of the total tumor area. The criteria for estimation of pathological response were established as follows: (1) Complete pathological response: 100% tumor necrosis and absence of any viable tumor cells; (2) Significant pathological response: 50–99% tumor necrosis in cross section; (3) Mild pathological response: 1–49% tumor necrosis in cross section and (4) No pathological response: no tumor necrosis present.</div></div><div><h3>Results</h3><div>Twenty-two patients (16 men; median age, 65 years) with 73 HCCs (median largest diameter: 2.7 cm) were bridged or downstaged with DSM-TACE and subsequently underwent liver transplantation. Histopathological examination of the explanted livers showed complete pathological response in 27 % of patients, significant pathological response in 32 %, mild pathological response in 27 % and no pathological response in 14 %.</div></div><div><h3>Conclusion</h3><div>The present study provides important clinical evidence supporting the efficacy of DSM-TACE in inducing tumor necrosis, despite its short embolization time.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"193 ","pages":"Article 112454"},"PeriodicalIF":3.3,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145299256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Imaging findings for differentiating and predicting prognosis in undifferentiated pleomorphic sarcoma and myxofibrosarcoma","authors":"Masaya Kawaguchi , Hiroki Kato , Tomohiro Kanayama , Hiroyuki Tomita , Akira Hara , Akihito Nagano , Yoshifumi Noda , Fuminori Hyodo , Masayuki Matsuo","doi":"10.1016/j.ejrad.2025.112449","DOIUrl":"10.1016/j.ejrad.2025.112449","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to examine the imaging findings of undifferentiated pleomorphic sarcoma (UPS) and myxofibrosarcoma (MFS) and identify a prognostic factor for recurrence.</div></div><div><h3>Materials and methods</h3><div>The research included 41 individuals who histopathologically and immunohistochemically confirmed UPS and MFS. MFS was histologically distinguished from UPS using the 10% myxoid area as the threshold value. MRI, CT, and <sup>18</sup>F-fluorodeoxyglucose-PET/CT results were retrospectively examined and compared between the two diseases.</div></div><div><h3>Results</h3><div>The results showed that 18 individuals had UPS, whereas 23 had MFS. The predominant signal intensity on T2-weighted images was low or intermediate in UPS (89 %) but high in MFS (87 %, <em>p</em> < 0.01). The tumor-to-muscle signal intensity ratio on T2-weighted images (2.8 vs. 3.8, <em>p</em> < 0.01) and apparent diffusion coefficient (ADC) values (0.93 vs. 1.52 × 10<sup>-3</sup>mm<sup>2</sup>/s, <em>p</em> < 0.01) were lower in UPS than in MFS. CT attenuation (37 vs. 22 Hounsfield Unit, <em>p</em> < 0.01) and maximum standardized uptake value (SUVmax) (15.6 vs. 5.2, <em>p</em> < 0.01) were greater in UPS than in MFS. Univariate analysis found that pathological diagnosis of UPS (hazard ratio: 15.6) and low or intermediate signal intensity on T2-weighted images (hazard ratio: 15.7) were predictors of recurrence.</div></div><div><h3>Conclusion</h3><div>The signal intensity on T2-weighted images, ADC value, CT attenuation, and SUVmax were relevant imaging results for distinguishing UPS from MFS. The pathological diagnosis and signal intensity on T2-weighted images were prognostic indicators of recurrence.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"193 ","pages":"Article 112449"},"PeriodicalIF":3.3,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145156450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dongxia He , Hu Liang , Yishu Deng , Yingying Huang , Yixuan Wang , Nian Lu , Yuanji Xu , Zhizhong Lin , Zijie Wu , Yujun Hu , Chixiong Liang , Shuyu Wen , Youping Xiao , Chuanmiao Xie , Liangru Ke
{"title":"Modifying node-RADS in diagnosing parotid lymph node metastasis of nasopharyngeal carcinoma","authors":"Dongxia He , Hu Liang , Yishu Deng , Yingying Huang , Yixuan Wang , Nian Lu , Yuanji Xu , Zhizhong Lin , Zijie Wu , Yujun Hu , Chixiong Liang , Shuyu Wen , Youping Xiao , Chuanmiao Xie , Liangru Ke","doi":"10.1016/j.ejrad.2025.112451","DOIUrl":"10.1016/j.ejrad.2025.112451","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to establish a modified Node Reporting and Data System (mNode-RADS) for differentiating metastatic from benign parotid lymph nodes (PLNs) in nasopharyngeal carcinoma (NPC).</div></div><div><h3>Materials and methods</h3><div>166 and 60 NPC patients with PLN from two institutions were retrospectively reviewed. The diagnostic performance of initial imaging characteristics for metastatic PLN (PLNM) was compared using the area under the curve (AUC). Two top-performing variables, lesion area and short axis, were used to modify Node-RADS (la-mNode-RADS and sa-mNoder-RADS, respectively). The AUC, sensitivity, specificity, and accuracy were compared among short axis, conventional and modified Node-RADS criteria.</div></div><div><h3>Results</h3><div>In the internal cohort, the lesion area showed the highest diagnostic performance (AUC = 0.877; cutoff = 60.69 mm<sup>2</sup>), followed by the short axis (AUC = 0.869; cutoff = 7.5 mm). Both la-mNode-RADS and sa-mNode-RADS achieved higher AUCs than Node-RADS (0.912 or 0.911 vs. 0.870; all <em>p</em> < 0.05). Dichotomized la-mNode-RADS and sa-mNode-RADS (scores 1–2 vs. 3–5) showed greater sensitivity than Node-RADS or short axis (94.8 % vs. 92.7 % vs. 76.0 % vs. 77.1 %; all <em>p</em> < 0.05), with similar specificity (78.7 % vs. 79.8 % vs. 84.3 % vs. 86.5 %; all <em>p</em> > 0.05). Both la-mNode-RADS and sa-mNode-RADS had higher accuracy than Node-RADS (87.0 % or 86.5 % vs. 80.0 %; all <em>p</em> < 0.05). No significant differences were observed between la-mNode-RADS and sa-mNode-RADS. The superior diagnostic performance of short-axis threshold of 7.5 mm and its corresponding mNode-RADS was also confirmed in external cohort.</div></div><div><h3>Conclusions</h3><div>The user-friendly sa-mNode-RADS shows superior diagnostic performance over traditional Node-RADS in detecting PLNM in NPC.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"193 ","pages":"Article 112451"},"PeriodicalIF":3.3,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145198959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nikos Sourlos , Marcel van Tuinen , Grigory Sidorenkov , Gonda de Jonge , Steven Schalekamp , Gert Jan Pelgrim , Marcel Greuter , Mieneke Rook , Mathias Prokop , Peter van Ooijen , Rozemarijn Vliegenthart
{"title":"Does BMI influence AI and human reader lung nodule detection in low-dose chest CT?","authors":"Nikos Sourlos , Marcel van Tuinen , Grigory Sidorenkov , Gonda de Jonge , Steven Schalekamp , Gert Jan Pelgrim , Marcel Greuter , Mieneke Rook , Mathias Prokop , Peter van Ooijen , Rozemarijn Vliegenthart","doi":"10.1016/j.ejrad.2025.112453","DOIUrl":"10.1016/j.ejrad.2025.112453","url":null,"abstract":"<div><h3>Purpose</h3><div>Body mass index (BMI) can influence image quality in low dose computed tomography (LDCT) through higher image noise levels. We evaluated whether BMI affects lung nodule detection by artificial intelligence (AI) software and a human reader.</div></div><div><h3>Method</h3><div>The study utilized chest LDCT scans from the Lifelines cohort. We included 1.5 % participants at highest BMI (mean = 39.8, sd = 3.0), and 1.5 % at lowest BMI (mean = 18.7, sd = 0.9). Nodule detection was performed by AI software and by a trained human reader (HR). Two chest radiologists reviewed detection discrepancies, with disagreements resolved by an expert radiologist. Sensitivity and false positives per scan (FP/scan) were compared between BMI groups, for AI versus HR.</div></div><div><h3>Results</h3><div>There were 176 participants in both groups, with 131 nodules in high BMI, and 136 in low BMI. AI detected 356 nodular findings and HR 251, including 154 nodules found by both. AI’s sensitivity was 0.75 (95 % confidence interval 0.66–0.82) in high BMI, and 0.80 (0.72–0.86) in low BMI groups (p = 0.37). FP/scan was 0.30 and 0.55 in high and low BMI, respectively (p = 0.005). HR’s sensitivity was 0.76 (0.68–0.83) in high BMI, and 0.84 (0.76–0.89) in low BMI groups (p = 0.17), with FP/scan of 0.05 and 0.16, respectively (p = 0.09). In both BMI groups, AI had more FP/scan than the human reader (p < 0.001).</div></div><div><h3>Conclusions</h3><div>Sensitivity for lung nodule detection in LDCT was not significantly different for high versus low BMI, either for AI or human reader. Compared to the human reader, AI had higher FP/scan in both BMI groups.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"193 ","pages":"Article 112453"},"PeriodicalIF":3.3,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145206006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuncheng Li , Liucheng Li , Yan Liu , Junlin Yang , Zhen Wang , Yong Cheng , Shutian An , Jun Wang , Yongqiang Yu , Jin Tang , Xiaohu Li
{"title":"Reduced-dose dual-energy CT with deep learning image reconstruction for detection and characterization of liver metastases","authors":"Yuncheng Li , Liucheng Li , Yan Liu , Junlin Yang , Zhen Wang , Yong Cheng , Shutian An , Jun Wang , Yongqiang Yu , Jin Tang , Xiaohu Li","doi":"10.1016/j.ejrad.2025.112452","DOIUrl":"10.1016/j.ejrad.2025.112452","url":null,"abstract":"<div><h3>Purpose</h3><div>To compare image quality and diagnostic performance of reduced-dose dual-energy CT (DECT) with deep learning image reconstruction (DLIR) versus standard-dose single-energy CT (SECT) with adaptive statistical iterative reconstruction-Veo (ASIR-V) for detecting liver metastases, and to evaluate the efficacy of differentiating metastases from cysts using DECT spectral parameters.</div></div><div><h3>Methods</h3><div>Eighty participants with known or suspected liver metastases from June 2023 to January 2025 were prospectively enrolled and underwent contrast-enhanced liver CT with either standard-dose SECT (n = 40, 120-kVp images, ASIR‑V 40 %) or reduced-dose DECT (n = 40, 40- and 70-keV virtual monoenergetic images [VMIs], high-intensity DLIR [DH]). The objective image noise, contrast-to-noise ratio (CNR), signal-to-noise ratio (SNR), liver-to-lesion contrast-to-noise ratio (LLR), subjective image quality, lesion conspicuity, and detection rate were assessed. The diagnostic performance of spectral parameters for differentiating metastases from cysts was evaluated using receiver operating characteristic (ROC) curves.</div></div><div><h3>Results</h3><div>DH significantly reduced image noise of DECT scans in reduced radiation dose conditions. With a 45 % dose reduction, the 40- and 70-keV VMIs with DH showed higher CNR, SNR, and LLR, better image quality and similar lesion detection rates and better or comparable lesion conspicuity compared with AR40 120-kVp images (<em>P</em> > 0.05). The use of the spectral curve slope, iodine concentration, normalized iodine concentration, and effective atomic number yielded the area under the curve (AUC) values of 0.977, 0.990, 0.982, and 0.980 for differentiating metastases from cysts, respectively.</div></div><div><h3>Conclusion</h3><div>DLIR effectively reduces image noise and improves image quality of the 40- and 70-keV VMIs in DECT, achieving a 45% radiation dose reduction without compromising metastases diagnosis. DECT spectral parameters enable accurate differentiation of metastases from cysts.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"193 ","pages":"Article 112452"},"PeriodicalIF":3.3,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145206056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xuan Ma , Tian Lan , Jiaxin Wang , Shujuan Yang , Shiqin Yu , Zhixiang Dong , Yun Tang , Xingrui Chen , Kankan Zhao , Weipeng Yan , Yanyan Song , Kai Yang , Minjie Lu , Shihua Zhao , Xiuyu Chen
{"title":"Myocardial tissue characterization by cardiac MRI for the evaluation of heart failure with preserved ejection fraction in hypertrophic cardiomyopathy","authors":"Xuan Ma , Tian Lan , Jiaxin Wang , Shujuan Yang , Shiqin Yu , Zhixiang Dong , Yun Tang , Xingrui Chen , Kankan Zhao , Weipeng Yan , Yanyan Song , Kai Yang , Minjie Lu , Shihua Zhao , Xiuyu Chen","doi":"10.1016/j.ejrad.2025.112446","DOIUrl":"10.1016/j.ejrad.2025.112446","url":null,"abstract":"<div><h3>Purpose</h3><div>This study aimed to assess the utility of myocardial tissue characteristics, as identified by cardiac magnetic resonance T1 mapping, in detecting heart failure with preserved ejection fraction (HFpEF) in patients with hypertrophic cardiomyopathy (HCM).</div></div><div><h3>Methods</h3><div>A total of 133 consecutive patients with HCM were prospectively enrolled for biomarker testing to measure N-terminal pro-brain natriuretic peptide (NT-proBNP) concentrations, echocardiography to evaluate the diastolic function, and cardiac MRI to access tissue characteristics including native T1 values, extracellular volume fraction (ECV), and indexed ECV (iECV).</div></div><div><h3>Results</h3><div>Seventy-five (56.4 %) HCM patients were diagnosed with HFpEF based on the 2019 ESC HFA-PEFF diagnostic algorithm. Compared to HCM patients without HF, HFpEF-HCM subjects demonstrated greater native T1, ECV, and iECV (all p < 0.05). Native T1, ECV, and iECV were positively correlated with NT-proBNP and elevated in those with diastolic dysfunction (all p < 0.05). In ROC analysis, native T1 value (AUC: 0.723; p < 0.001) was a stronger discriminator among cardiac MRI-derived LV parameters and remained independently related to the diagnosis of HFpEF after adjusting for other clinical and imaging variables (odds ratio: 2.41; 95 % confidence interval: 1.32–4.39, per 1 standard deviation increase). Furthermore, native T1 had incremental value to the traditional markers for identifying HFpEF in HCM.</div></div><div><h3>Conclusions</h3><div>In HCM, prolonged native T1 and elevated extracellular volume correlated with the diagnosis of HFpEF. Native T1 was an independent discriminator and may have supplementary value in identifying HFpEF-HCM.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"193 ","pages":"Article 112446"},"PeriodicalIF":3.3,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jiamin Guo , Ying Liu , Wei Ren , Yichen Zheng , Tonghui Ren , Ji Ma , Shuang Zhao
{"title":"Corrigendum to “Quantification of tumor heterogeneity based on fractal dimension for predicting the response to neoadjuvant chemotherapy in triple-negative breast cancer”. [Eur. J. Radiol. 192 (2025) 112413]","authors":"Jiamin Guo , Ying Liu , Wei Ren , Yichen Zheng , Tonghui Ren , Ji Ma , Shuang Zhao","doi":"10.1016/j.ejrad.2025.112427","DOIUrl":"10.1016/j.ejrad.2025.112427","url":null,"abstract":"","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"193 ","pages":"Article 112427"},"PeriodicalIF":3.3,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145148397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anja Šimunović Simić , Erna Alukić , Laura Jurša , Maja Marolt Mušič , Nejc Mekiš
{"title":"Comparison of average glandular dose in mammography for patients with breast implants when using automatic or manual exposure technique","authors":"Anja Šimunović Simić , Erna Alukić , Laura Jurša , Maja Marolt Mušič , Nejc Mekiš","doi":"10.1016/j.ejrad.2025.112444","DOIUrl":"10.1016/j.ejrad.2025.112444","url":null,"abstract":"<div><h3>Objective</h3><div>The aim of this study was to evaluate the average glandular dose (AGD) in mammography screening of women with breast implants and to compare the AGD and image quality obtained with automatic exposure control (AEC) versus manual exposure settings with standard and Eklund techniques (implant displacement).</div></div><div><h3>Methods</h3><div>A retrospective analysis of 536 patients with breast implants from a national screening program using mammography equipment from a single vendor (Hologic Selenia Dimensions) was performed. Each patient underwent eight images; four standard (CC, MLO) and four Eklund (CCID, MLOID) projections. Exposure parameters, breast thickness, compression force and AGD were assessed. A subset of 35 patients (eight images each) who underwent two consecutive mammograms with different exposure settings (AEC and manual) underwent image quality assessment using a standardized PGMI classification, which was evaluated by three radiologists experienced in mammography reporting.</div></div><div><h3>Results</h3><div>AGD was significantly higher with AEC in standard projections (CC, MLO), but lower in Eklund projections (CCID, MLOID) than with manual exposure (p < 0.001). Manual exposure settings resulted in better image quality in standard projections, while no significant differences were observed in CCID images. For four out of six quality criteria, MLOID images were superior to manual settings.</div></div><div><h3>Conclusion</h3><div>AEC leads to lower AGD in implant displacement projections, but increases AGD in standard projections. Manual exposure settings resulted in better image quality for CC, MLO and MLOID projections, while IQ was at an acceptable level even when using AEC. The results emphasize that standard projection mammography in patients with breast implants should be performed with manual exposure settings, while ID projections should be performed with AEC while maintaining sufficient IQ.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"193 ","pages":"Article 112444"},"PeriodicalIF":3.3,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}