Abdominal Radiology最新文献

{"title":"Imaging characteristics and clinical outcomes of spontaneous celiac artery dissection.","authors":"Rika Yoshida, Hisatoshi Araki, Takeshi Yoshizako, Yasushi Kaji","doi":"10.1007/s00261-025-04961-5","DOIUrl":"https://doi.org/10.1007/s00261-025-04961-5","url":null,"abstract":"<p><strong>Purpose: </strong>Spontaneous celiac artery dissection (CeAD) is a rare cause of acute abdominal pain. This study examined computed tomography (CT) scan findings, natural course, and outcomes of spontaneous CeAD.</p><p><strong>Methods: </strong>Sixty patients who underwent CT scan and were diagnosed with CeAD between April 2003 and June 2023 were retrospectively reviewed. Patients with aortic dissection (n = 25), iatrogenic CeAD (n = 6), traumatic CeAD (n = 1), and celiac artery (CeA) aneurysm (n = 4) and those undergoing noncontrast-enhanced CT scans (n = 1) were excluded. The remaining 23 consecutive patients were divided into the acute symptomatic and chronic asymptomatic CeAD groups. Correlations between CT classification, treatment, and outcomes were investigated.</p><p><strong>Results: </strong>Eighteen (78.2%) patients had hypertension requiring treatment. Of 23 patients, 18 were asymptomatic, and five had CeAD-related abdominal pain requiring hospitalization. Two had intraperitoneal bleeding. All hospitalized patients initially received conservative treatment. Upon the initial diagnosis, the mean CeA maximum outer diameter was 11.0 mm (range: 7-16). Ten (43.5%) patients had stenosis at the CeA origin. Based on CT findings from initial diagnosis to final follow-up, the outer diameter remained stable. CT showed that chronic CeAD was mostly Kim classification type IA or IB. In symptomatic patients, the dissection length on initial CT significantly decreased by final CT. No follow-up symptoms were related to CeAD, and the condition remained stable. No patients required vascular repair or surgery, and there were no deaths.</p><p><strong>Conclusion: </strong>Spontaneous CeAD, asymptomatic and symptomatic, remained stable in imaging and clinical outcomes with conservative treatment. The Kim classification on CT plays a key role in identifying chronic CeAD, mostly type IA or IB.</p>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143957204","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":"US-Guided percutaneous core needle biopsy via the complete transhepatic approach: a reliable option for deep abdominal lesions.","authors":"Halil Serdar Aslan, Kadir Han Alver","doi":"10.1007/s00261-025-04958-0","DOIUrl":"https://doi.org/10.1007/s00261-025-04958-0","url":null,"abstract":"<p><strong>Purpose: </strong>To assess the feasibility, reliability, and diagnostic performance of ultrasound (US)-guided percutaneous core needle biopsy (PCNB) performed via the complete transhepatic approach (CTHa) for abdominal lesions.</p><p><strong>Materials and methods: </strong>This study included 71 patients (31 males, 40 females) with a mean age of 64.8 ± 13.9 years (range: 19-93) who underwent US-guided PCNB via the CTHa for abdominal lesions between January 2014 and December 2024. All biopsies were performed by interventional radiologists with at least five years of experience using a coaxial system and an 18-gauge automatic biopsy device. Patients were assessed for technical success, diagnostic yield, and complications, which were classified as major or minor based on the Society of Interventional Radiology (SIR) guidelines.</p><p><strong>Results: </strong>Tissue samples were successfully obtained in all cases, achieving a 100% technical success rate. Adequate material for pathological diagnosis was available in 63 of 71 patients (88.7%), while a definitive diagnosis could not be established in 11.3% of cases. Diagnostic yield was significantly influenced by lesion type (solid or mixed with cystic components) and anatomical location (p = 0.001 and p = 0.032, respectively). Complications occurred in 12.7% of patients, including 11.3% minor and 1.4% major complications. Univariate logistic regression analysis identified a history of malignancy, lesion size along the biopsy path, and the length of liver parenchyma traversed as significant predictors of complications (p = 0.012, 0.027 and 0.003 respectively). In the multivariate model, liver parenchyma length remained the only independent risk factor (p = 0.023).</p><p><strong>Conclusion: </strong>US-guided PCNB via the CTHa is a safe and effective option for abdominal lesions when extrahepatic access is not feasible. While longer liver tissue traversal increases the risk of minor complications, no major adverse events were observed. Careful procedural planning and consideration of lesion location and cystic content are essential to optimize diagnostic yield.</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":"143955157","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":"Adrenal lesion classification revisited: validation and adjustment of dual-energy CT derived virtual unenhanced attenuation thresholds.","authors":"Pascale Bernard, Christian Nelles, Philipp Fervers, Joline Schwan, Kaloyan Dankov, David Maintz, David Zopfs, Nils Große Hokamp, Thorsten Persigehl, Simon Lennartz","doi":"10.1007/s00261-025-04939-3","DOIUrl":"https://doi.org/10.1007/s00261-025-04939-3","url":null,"abstract":"<p><strong>Objectives: </strong>Dual-energy CT (DECT)-derived virtual unenhanced (VUE) images have been investigated for adrenal lesion differentiation, yet previously reported thresholds vary, hampering clinical application. We aimed to test previous VUE thresholds for adrenal lesion differentiation in a large retrospective cohort, to provide a cross-validated threshold based on our data, and to investigate the influence of underlying malignancies on differentiation accuracy.</p><p><strong>Methods: </strong>290 patients with 348 adrenal lesions (169 metastases, 179 adenomas) were included. Dual-layer DECT-derived VUE thresholds from 3 previous studies were retrieved, applied to our cohort and corresponding sensitivity/specificity/accuracy was calculated. Optimal threshold based on our data were determined using ROC-analysis with five-fold cross validation. Moreover, a threshold with similar specificity to the 10 HU threshold in unenhanced images was calculated. Subgroup analysis of adrenal lesion differentiation depending on underlying malignancies was performed.</p><p><strong>Results: </strong>The previously suggested thresholds were 20, 22 and 29 HU, and corresponding sensitivity/specificity/accuracy was 0.61/0.92/0.76, 0.67/0.91/0.78, and 0.82/0.59/0.71, respectively. The threshold determined from our cohort was 24.7 HU, yielding a sensitivity/specificity/accuracy of 0.76/0.81/0.79. Differentiation in disease-specific subgroups showed similar sensitivity/specificity/accuracy (Melanoma:0.78/0.84/0.79; Lung cancer:0.78/0.8/0.78; RCC:0.78/1/0.79). The VUE threshold to achieve a 0.98 specificity similar to the unenhanced 10 HU cutoff was 17.3 HU, yielding a sensitivity of 0.49.</p><p><strong>Conclusion: </strong>Previous VUE attenuation thresholds showed a varying accuracy for differentiation between adenomas and metastases. A cross-validated VUE threshold of 24.7 HU yielded a mean accuracy of 0.79, whereas a threshold of 17.3 HU was best for achieving comparable specificity as reported for the 10 HU threshold in unenhanced images.</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":"143954595","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":"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}