Abdominal Radiology最新文献

{"title":"The value of deep learning and radiomics models in predicting preoperative serosal invasion in gastric cancer: a dual-center study.","authors":"Lihang Xu, Mingyu Li, Xianling Dong, Zhongxiao Wang, Ying Tong, Tao Feng, Shuangyan Xu, Hui Shang, Bin Zhao, Jianpeng Lin, Zhendong Cao, Yi Zheng","doi":"10.1007/s00261-025-04949-1","DOIUrl":"https://doi.org/10.1007/s00261-025-04949-1","url":null,"abstract":"<p><strong>Purpose: </strong>To establish and validate a model based on deep learning (DL), integrating radiomic features with relevant clinical features to generate nomogram, for predicting preoperative serosal invasion in gastric cancer (GC).</p><p><strong>Methods: </strong>This retrospective study included 335 patients from dual centers. T staging (T1-3 or T4) was used to assess serosal invasion. Radiomic features were extracted from primary GC lesions in the venous phase CT, and DL features from 8 transfer learning models were combined to create the Hand-crafted Radiomics and Deep Learning Radiomics (HCR-DLR) model. The Clinical (CL) model was built using clinical features, and both were combined into the Clinical and Radiomics Combined (CRC) model. In total, 15 predictive models were developed using 5 machine learning algorithms. The best-performing models were visualized as nomograms.</p><p><strong>Results: </strong>The total of 14 radiomic features, 13 DL features, and 2 clinical features were considered valuable through dimensionality reduction and selection. Among the constructed models: CRC model (AUC, training cohort: 0.9212; internal test cohort: 0.8743; external test cohort: 0.8853) than HCR-DLR model (AUC, training cohort: 0.8607; internal test cohort: 0.8543; external test cohort: 0.8824) and CL model (AUC, training cohort: 0.7632; internal test cohort: 0.7219; external test cohort: 0.7294) showed better performance. A nomogram based on the logistic CL model was drawn to facilitate the usage and showed its excellent predictive performance.</p><p><strong>Conclusion: </strong>The predictive performance of the CRC Model, which integrates clinical features, radiomic features, and DL features, exhibits robust predictive capability and can serve as a simple, non-invasive, and practical tool for predicting the serosal invasion status of GC.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143962199","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":"Salvage of dislodged percutaneous nephrostomy catheter through the original tract: feasibility and factors affecting technical failure of reinsertion.","authors":"Mizuki Ozawa, Miyuki Sone, Shunsuke Sugawara, Shintaro Kimura, Rakuhei Nakama, Takumi Oshima","doi":"10.1007/s00261-025-04952-6","DOIUrl":"https://doi.org/10.1007/s00261-025-04952-6","url":null,"abstract":"<p><strong>Objectives: </strong>Percutaneous nephrostomy (PCN) is a standard procedure to relieve urinary obstruction. Inadvertent catheter dislodgement occurs in up to 15% of cases, and one of the management options is to replace the new catheter through the original tract. Although previous studies have reported the feasibility of reinserting a new catheter through the original tract, few studies have described the factors contributing to technical failure. This study aims to investigate the feasibility and factors affecting the technical failure of reinsertion of dislodged PCN.</p><p><strong>Methods: </strong>53 procedures of 42 patients who underwent reinsertion of dislodged PCN through the original tract were retrospectively reviewed. All procedures were performed under fluoroscopic guidance using an angiographic catheter and a guidewire to search the original tract. After confirming access to the renal pelvis, a new catheter was inserted. Technical success was defined as the successful placement of a new catheter through the original tract. Patient characteristics, procedure details, and duration since initial PCN placement, the last replacement and dislodgement were statistically compared between technical success and failure groups.</p><p><strong>Results: </strong>Technical success was achieved in 45 of 53 procedures (85%). Univariate analysis revealed that significant factors affecting technical failure were the smaller size of the catheter (P = 0.05), procedure time (P =  < 0.001), and duration since initial PCN placement (P = 0.001). Sex was also a significant factor; however, this may be the error due to the small sample size.</p><p><strong>Conclusion: </strong>Salvage of dislodged PCN by inserting a catheter through the original tract was feasible. However, technical failure of catheter reinsertion was significantly affected by the shorter duration since initial PCN placement and the smaller size of catheters.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143960635","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":"Evaluating extraprostatic extension of prostate cancer: pragmatic integration of MRI and PSMA-PET/CT.","authors":"Sungmin Woo, Daniel Freedman, Anton S Becker, Doris Leithner, Charlotte Charbel, Marius E Mayerhoefer, Kent P Friedman, Angela Tong, David R Wise, Samir S Taneja, Michael J Zelefsky, Hebert Alberto Vargas","doi":"10.1007/s00261-025-04948-2","DOIUrl":"https://doi.org/10.1007/s00261-025-04948-2","url":null,"abstract":"<p><strong>Purpose: </strong>To explore pragmatic approaches integrating MRI and PSMA-PET/CT for evaluating extraprostatic extension (EPE) of prostate cancer (PCa).</p><p><strong>Methods: </strong>Consecutive patients with newly-diagnosed PCa that underwent multiparametric MRI and PSMA-PET/CT, followed by radical prostatectomy in 2021-2024 were included. Imaging parameters assessed on both modalities were: size, length of capsular contact (LCC), Likert scales (MRI EPE grade/PSMA Likert scale), PI-RADS/PRIMARY scores, and SUV_max. Three pragmatic integrated approaches were tested: (1) Integration of Likert scales (positive if either or both MRI and PSMA-PET/CT were positive); (2) P score (framework combining PI-RADS + PRIMARY); and (3) combining MRI morphological information with PSMA-PET/CT functional information (upgrading suspicion of lesions with LCC below cutoff if SUV_max>12). Diagnostic performance was tested with receiver operating characteristic (ROC) curves and compared using DeLong and McNemar tests.</p><p><strong>Results: </strong>67 men (median age, 66 years) with EPE in 76.1% (51/67) were included. Area under ROC curves (AUC) were 0.61-0.82; MRI-based LCC yielded the highest AUC 0.82 (0.71-0.92) with cutoff of ≥ 1.7 cm. Integrated Likert scale (MRI EPE grade/PSMA Likert scale) showed sensitivity of 80.4% (41/51) and specificity of 31.3% (5/16). P score (PI-RADS/PRIMARY) demonstrated sensitivity of 31.3% (16/51) and specificity of 87.5% (14/16). Combining morphological MRI information with functional PSMA-PET/CT yielded sensitivity and specificity of 80.4% (41/51) and 81.2% (13/16), respectively, which demonstrated significantly higher sensitivity but non-significantly different specificity compared with MRI-based LCC alone (66.7% [34/51, p = 0.02] and 87.5% [14/16, p > 0.99]). This approach upgraded suspicion in 8 patients with LCC < 1.7 cm due to SUV_max>12 among which 87.5% (7/8) were corrected upgraded and had pathological EPE.</p><p><strong>Conclusion: </strong>Several pragmatic approaches were explored for integrating MRI and PSMA-PET/CT to assess EPE in PCa. Combining morphological information from MRI and PSMA expression on PET/CT demonstrated good diagnostic performance and may be a simple pragmatic integrated method that can be used.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143955759","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":"Abdominal hydatid disease: role of imaging in diagnosis, complications, and management.","authors":"Chandan J Das, S S K Venkatesh, Sanchita Gupta, Raju Sharma, Divij Agarwal, Vikas Kundra","doi":"10.1007/s00261-025-04957-1","DOIUrl":"https://doi.org/10.1007/s00261-025-04957-1","url":null,"abstract":"<p><p>Hydatid disease is a relatively common parasitic infection. Incidence can reach more than 50 per 100,000 person-years in endemic areas. It can affect all organs but favors the liver and lungs. Presentation is often asymptomatic. Imaging plays a crucial role in diagnosis in conjunction with serology. Primary evaluation is usually by ultrasound, often followed by CT or MRI, to understand disease extent, including lesion size, internal architecture, multiplicity, location, and adjacent structure involvement. CT better detects lesion calcifications. MRI is advantageous for certain complications such as biliary communication. Cystic lesions with membranes or daughter cysts are highly indicative of hydatid disease. In comparison, diagnosis during the inactive stage can pose challenges at imaging and often also requires tissue sampling. Due to varying appearances at different developmental stages, hydatid disease can mimic various pathologies ranging from cysts to malignancy. Image-guidance aids management. Treatment is based on cyst type, size and location; with uncomplicated cysts typically amenable to PAIR (puncture, aspiration, injection, and re-aspiration) or modified catheterization technique (MoCAT) using scolicidal agents. In contrast, surgical intervention is required for complicated cysts such as those located in a hepatic subcapsular location, those that exhibit biliary communication, or have ruptured.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143970344","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":"Machine learning-based multiparametric CT radiomics for predicting microvascular invasion before nephrectomy in clear cell renal cell carcinoma.","authors":"Jinbin Xu, Shuntian Gao, Qin Zhu, Fuyang Dai, Ciming Sun, Weijen Lee, Yuedian Ye, Gengguo Deng, Zhansen Huang, Xiaoming Li, Jiang Li, Samun Cheong, Qunxiong Huang, Jinming Di","doi":"10.1007/s00261-025-04956-2","DOIUrl":"https://doi.org/10.1007/s00261-025-04956-2","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to investigate the value of integrating computed tomography (CT)-based tumor radiomics features with clinical parameters for preoperative prediction of microvascular invasion (MVI) in clear cell renal cell carcinoma (ccRCC).</p><p><strong>Methods: </strong>We retrospectively analyzed data from a single-center cohort of ccRCC patients. Radiomics features were extracted from preoperative multiphasic CT scans (unenhanced, corticomedullary, and nephrographic phases). Following dimensionality reduction and feature selection, eight machine learning algorithms were evaluated to identify the optimal radiomics model. Independent clinical predictors were determined through univariate and multivariate analyses. A nomogram integrating the radiomics signature (rad-score) with significant clinical parameters was subsequently developed. Model performance was assessed using the area under the curve (AUC), decision curve analysis (DCA), and calibration curve analysis (CAC).</p><p><strong>Results: </strong>Of 143 initially enrolled patients, 110 met inclusion criteria after screening, with 5502 radiomics features extracted. The support vector classifier (SVM) model demonstrated the highest discriminative ability, achieving mean AUCs of 0.976 (training cohort) and 0.892 (test cohort), significantly outperforming the clinical model (training AUC = 0.935, test AUC = 0.933). The nomogram showed superior diagnostic performance, with AUCs of 0.958 (test). DCA and CAC confirmed its clinical utility and robustness.</p><p><strong>Conclusions: </strong>Multiparametric CT radiomics models enable non-invasive prediction of MVI status in ccRCC, with the SVM-based algorithm showing optimal performance. The integrated nomogram provides excellent and consistent diagnostic accuracy, offering a valuable preoperative tool for clinical decision-making.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143960269","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":"Deep learning reconstruction of diffusion-weighted imaging with single-shot echo-planar imaging in endometrial cancer: a comparison with multi-shot echo-planar imaging.","authors":"Taewoo Heo, Nam Kyung Lee, Suk Kim, Seung Baek Hong, Dong Soo Suh, Jin You Kim, Ji Won Lee, Tae Un Kim","doi":"10.1007/s00261-025-04955-3","DOIUrl":"https://doi.org/10.1007/s00261-025-04955-3","url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the efficacy of deep learning reconstruction (DLR) in diffusion-weighted imaging (DWI) with single-shot echo-planar imaging (SSEPI) for endometrial cancer, compared to multiplexed sensitivity-encoding (MUSE) DWI.</p><p><strong>Methods: </strong>We retrospectively reviewed 31 women with surgically confirmed endometrial cancer who underwent preoperative pelvic magnetic resonance imaging (MRI) including DWI. Qualitative analysis including overall image quality, susceptibility artifacts, sharpness of the uterine edge, and lesion conspicuity were compared among conventional SSEPI (SSEPI-C), SSEPI with DLR (SSEPI-DL), and MUSE using the Friedman's test. Quantitative analysis including the apparent diffusion coefficient (ADC) values, noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were also compared among three DWI sequences using the Friedman's test. In addition, the diagnostic accuracy for deep myometrial invasion was compared to three DWI sequences using Cochran's Q test.</p><p><strong>Results: </strong>The scores of overall image quality, sharpness of the uterine edge, and lesion conspicuity in SSEPI-DL were higher than SSEPI-C (p < 0.001) with no significant difference compared to MUSE (p > 0.05). Noise in SSEPI-DL was lower than SSEPI-C (p < 0.001), with no significant difference compared to MUSE (p > 0.05). SNR and CNR in SSEPI-DL were also superior to SSEPI-C (p < 0.001), and comparable to MUSE (p > 0.05). The diagnostic accuracy for detecting deep myometrial invasion showed no significant difference among SSEPI-C, SSEPI-DL and MUSE (p > 0.05).</p><p><strong>Conclusion: </strong>DLR improves the image quality of DWI in endometrial cancer, demonstrating image quality equivalent to that of SSEPI-DL and MUSE. SSEPI-DL can be an alternative to MUSE in female pelvic MRI, with the benefit of significantly shortened scan time.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958774","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":"Accuracy, repeatability, reproducibility and reference ranges of primary sclerosing cholangitis specific biomarkers from quantitative MRCP.","authors":"Mukesh Harisinghani, Tom Davis, George Ralli, Carlos Ferreira, Bruno Paun, Andrea Borghetto, Andrea Dennis, Kartik Jhaveri, Filippo Del Grande, Sarah Finnegan, Michele Pansini","doi":"10.1007/s00261-025-04941-9","DOIUrl":"https://doi.org/10.1007/s00261-025-04941-9","url":null,"abstract":"<p><strong>Purpose: </strong>To assess the repeatability and reproducibility of quantitative MRCP-derived metrics generated from MRCP + software, designed for assessing biliary tree health.</p><p><strong>Methods: </strong>Metric accuracy was assessed using a 3D-printed phantom containing 20 tubes with sinusoidally-varying diameters, simulating strictures and dilatations along ducts. Data from 80 participants (60 healthy volunteers and 20 with liver disease) was analysed in total. Repeatability and reproducibility of the quantitative metrics were assessed on Siemens, GE and Philips scanners at both 1.5T and 3T. All subjects were scanned on a Siemens Prisma 3T scanner which acted as the reference scanner. A subset of these participants also underwent scanning on the remaining scanners. Data from healthy volunteers was used to estimate the natural range of measured values (reference ranges). The reproducibility coefficient (RC) of 7 commonly reported quantitative metrics were compared between healthy controls and published values in primary sclerosing cholangitis (PSC) patients.</p><p><strong>Results: </strong>The phantom analysis confirmed measurement accuracy with absolute bias of 0.0-0.1 for strictures and 0.1-0.2 for dilatations across all scanners (95% limits of agreement within ± 1.0). In vivo, RCs for the quantitative MRCP-derived metrics across the scanners ranged from: 12.4-25.4 for total number of ducts; 4.9-7.9 for number of dilatations; 3.3-6.5 for number of strictures; 4.6-9.8 mm for total length of dilatations; 26.5-51.7 mm for total length of strictures; and 4.4-6.8 for number of ducts with a stricture or dilatation. Repeatability on the same scanner was generally better than comparisons across scanners. Six metrics demonstrated sufficient cross-scanner reproducibility to distinguish healthy volunteers from PSC patients.</p><p><strong>Conclusion: </strong>The precision of quantitative MRCP-derived metrics were sufficient to differentiate PSC and healthy subjects and should be well suited for multi-centre trials and assessment of biliary tree health.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143952652","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":"DWI of the rectum with deep learning reconstruction: comparison of PROPELLER, reduced FOV, and conventional DWI.","authors":"Shohei Matsumoto, Takahiro Tsuboyama, Hiromitsu Onishi, Koki Kaketaka, Tetsuya Wakayama, Xinzeng Wang, Atsushi Nakamoto, Takashi Ota, Hideyuki Fukui, Toru Honda, Kengo Kiso, Koji Oba, Noriyuki Tomiyama","doi":"10.1007/s00261-025-04950-8","DOIUrl":"https://doi.org/10.1007/s00261-025-04950-8","url":null,"abstract":"<p><strong>Purpose: </strong>To compare the image quality and diagnostic performance of periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER), reduced field-of-view (rFOV), and conventional diffusion-weighted imaging (cDWI) combined with deep learning reconstruction (DLR) for evaluating rectal tumors.</p><p><strong>Methods: </strong>This prospective study included 42 MRI examinations of 38 patients with rectal tumors who underwent initial staging and/or restaging MRI. PROPELLER-DWI, rFOV-DWI, and cDWI obtained with DLR were reviewed by two radiologists and compared for image quality and diagnostic performance for local tumor extent at staging and restaging and response to chemoradiotherapy at restaging.</p><p><strong>Results: </strong>PROPELLER-DWI had significantly the least artifacts and distortions, but the worst perceptive noise, while rFOV-DWI had significantly the best sharpness for both readers (P < 0.01). For overall image quality and rectal/tumor conspicuity, PROPELLER-DWI and rFOV-DWI were significantly superior to cDWI in both readers (P < 0.01). The incidence of suboptimal image quality was significantly lower with PROPELLER-DWI and rFOV-DWI than with cDWI (5 and 1 patients with PROPELLER-DWI, 14 and 6 with rFOV-DWI, and 29 and 25 with cDWI by the 2 readers, P < 0.01). Although there were no significant differences in the accuracy of staging and restaging among the 3 types of DWI, inter-reader agreement was highest for PROPELLER-DWI (weighted kappa, 0.62-0.71) compared with cDWI (weighted kappa, 0.38-0.52) and rFOV-DWI (weighted kappa, 0.47-0.61).</p><p><strong>Conclusions: </strong>PROPELLER-DWI and rFOV-DWI with DLR may improve the image quality of rectal DWI by reducing artifacts and distortions or increasing sharpness, although the impact on diagnostic accuracy was not significant.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143963395","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":"MRI-derived extracellular volume to assess liver fibrosis in patients with metabolic-associated steatotic liver disease.","authors":"Flavia Vernin de Oliveira Terzi, Daniella Braz Parente, Gabriel Cordeiro Camargo, Ana Maria Pittella, Gilberto Silva-Junior, Gabrielle Gonçalves de Novaes, Jaime Araújo Oliveira Neto, Julia Machado Barroso, Martha Valéria Tavares Pinheiro, Adriana Soares Xavier-de-Brito, Renée Sarmento de Oliveira, Rosana Souza Rodrigues, Ronir Raggio Luiz, Andréa Silvestre-Sousa, Renata Mello Perez, Renata Junqueira Moll-Bernardes","doi":"10.1007/s00261-025-04945-5","DOIUrl":"https://doi.org/10.1007/s00261-025-04945-5","url":null,"abstract":"<p><strong>Purpose: </strong>Metabolic associated steatotic liver disease (MASLD) is the most prevalent chronic liver disease, and non-invasive fibrosis staging still represents a challenge. Our main objective was to estimate the degree of liver fibrosis in these patients using T1 mapping and the extracellular volume (ECV) by MRI in comparison with liver stiffness assessed by MR elastography (MRE).</p><p><strong>Methods: </strong>In a single-center cross-sectional study, patients with MASLD were prospectively enrolled and underwent MRI with liver T1 mapping and ECV calculations. Groups with and without significant liver fibrosis assessed by MRE were compared with the Mann-Whitney test, chi-square test, and Fisher's exact test. Correlation analysis was conducted using Spearman's test, and a receiver operating characteristic (ROC) curve was generated to assess the ability of ECV to differentiate between groups.</p><p><strong>Results: </strong>This study evaluated 54 patients, 37% were men, with a mean age of 58.0 ± 12.0 years. Mild liver fibrosis (F0-F1) was present in 38 patients, and significant fibrosis (F2-F4) was detected in 16 patients. Patients with significant fibrosis presented higher native T1 (954 ± 126 vs. 820 ± 123; p < 0.001) and ECV (37.9% vs. 29.1%; p < 0.001) values than those with no/mild fibrosis. Liver stiffness was correlated with native T1 (r = 0.512, p < 0.001) and ECV (r = 0.443, p < 0.001). The native liver T1 and ECV differentiated patients with and without significant liver fibrosis on MRE (AUC = 0.85 and 0.84, respectively).</p><p><strong>Conclusion: </strong>Native T1 and ECV show potential as an alternative method for the non-invasive staging of fibrosis in patients with MASLD, although further validation in larger cohorts is needed.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143959496","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":"Assessment of endometrial cancer with microcystic, elongated, and fragmented pattern invasion using multiparametric MRI.","authors":"Koki Kaketaka, Takahiro Tsuboyama, Hideyuki Fukui, Shohei Matsumoto, Atsushi Nakamoto, Takashi Ota, Toru Honda, Kengo Kiso, Kansuke Kido, Noriyuki Tomiyama","doi":"10.1007/s00261-025-04937-5","DOIUrl":"https://doi.org/10.1007/s00261-025-04937-5","url":null,"abstract":"<p><strong>Objectives: </strong>To assess the MRI findings of endometrial cancer with microcystic, elongated, and fragmented (MELF) pattern invasion and to evaluate the optimal sequences to detect deep myometrial invasion with MELF.</p><p><strong>Materials and methods: </strong>This retrospective single-center case-control study included 85 patients with endometrial cancer, including 17 patients with MELF, between December 2020 and January 2023. Preoperative MRI, including T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and dynamic contrast-enhanced (DCE) with equilibrium phase contrast-enhanced (CE) MRI were reviewed by three radiologists. DWI signal gradation with DWI-CE mismatch (DG-DCM) and tumor-myometrium synchronous early enhancement (TME) were evaluated, as well as the diagnostic performance for deep myometrial invasion, first with T2WI + CE alone and then with the addition of DWI + DCE. Pathology was used as the reference standard.</p><p><strong>Results: </strong>The sensitivity and specificity of DG-DCM were 41.2-76.5% and 89.7-98.5%, and those of TME were 70.7-82.4% and 94.1-95.6%, respectively, for MELF by the three readers. For the diagnosis of deep myometrial invasion with MELF, the addition of DWI + DCE to T2WI + CE significantly improved the sensitivity for two readers (from 16.7 to 91.7% for Reader 1, from 16.7 to 83.3% for Reader 2, p < 0.01) and the accuracy for one reader (from 35.3 to 82.4% for Reader 1, p < 0.01). In contrast, sensitivity, specificity and accuracy did not change with the addition of DWI + DCE in tumors without MELF.</p><p><strong>Conclusion: </strong>Endometrial cancer with MELF may show characteristic MRI findings of DG-DCM and TME. The value of DWI and DCE in detecting deep myometrial invasion may be high for MELF pattern invasion.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958772","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}