Abdominal Radiology最新文献

{"title":"Imaging-based biomarkers in acute pancreatitis: the predictive value of adrenal contrast ratios for intensive care unit admission","authors":"Sevde Nur Emir,&nbsp;Hasan Kumru,&nbsp;Gülbanu Güner,&nbsp;Aylin Acar,&nbsp;Tolga Canbak","doi":"10.1007/s00261-025-04931-x","DOIUrl":"10.1007/s00261-025-04931-x","url":null,"abstract":"<div><h3>Background</h3><p>Early risk stratification is crucial in acute biliary pancreatitis (ABP) to optimize patient management and guide intensive care unit (ICU) admission decisions. Traditional biomarkers and scoring systems have limitations in early severity assessment. This study aimed to evaluate the predictive value of adrenal contrast ratios on contrast-enhanced CT (CECT) as imaging-based biomarkers for ICU admission and prolonged hospitalization in ABP patients.</p><h3>Methods</h3><p>This retrospective study included 288 ABP patients who underwent CECT within 24 h of admission. Adrenal-to-inferior vena cava (IVC) and adrenal-to-spleen contrast ratios were measured from portal venous phase images. The predictive performance of these ratios for ICU admission was assessed using receiver operating characteristic (ROC) analysis, and their correlation with clinical outcomes was evaluated through regression analysis.</p><h3>Results</h3><p>ICU-admitted patients had significantly higher adrenal contrast ratios compared to non-ICU patients (adrenal-to-IVC ratio: 1.15 vs. 0.99, <i>p</i> &lt; 0.001; adrenal-to-spleen ratio: 0.97 vs. 0.75, <i>p</i> &lt; 0.001). ROC analysis demonstrated strong predictive accuracy (AUC = 0.74 for adrenal-to-IVC, AUC = 0.81 for adrenal-to-spleen). Additionally, adrenal contrast ratios correlated significantly with prolonged hospital stay (<i>r</i> = 0.49–0.55, <i>p</i> &lt; 0.001).</p><h3>Conclusion</h3><p>Adrenal contrast ratios serve as promising imaging-based biomarkers for early ICU admission prediction and risk stratification in ABP patients. Their integration into clinical decision-making may enhance early management strategies. Further prospective validation is warranted.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"4676 - 4686"},"PeriodicalIF":2.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00261-025-04931-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving radiologists’ diagnostic accuracy for lymphovascular invasion in colorectal cancer: insights from a multicenter CT-based study","authors":"Wenjun Diao,&nbsp;Kaiqi Hou,&nbsp;Xiaobo Chen,&nbsp;Chaokang Han,&nbsp;Suyun Li,&nbsp;Zhishan Wang,&nbsp;Ruxin Xu,&nbsp;Jiayi Liao,&nbsp;Liuyang Yang,&nbsp;Ruozhen Gu,&nbsp;Ge Zhang,&nbsp;Zaiyi Liu,&nbsp;Yanqi Huang","doi":"10.1007/s00261-025-04884-1","DOIUrl":"10.1007/s00261-025-04884-1","url":null,"abstract":"<div><h3>Background</h3><p>The current standard of subjective assessment by radiologists for lymphovascular invasion (LVI) in colorectal cancer (CRC) using CT images often falls short in diagnostic accuracy. This study introduces an advanced CT-based prediction model aimed at providing support for radiologists’ assessment to accurately diagnose LVI.</p><h3>Methods</h3><p>We conducted a retrospective analysis of 1409 patients with pathologically confirmed CRC from four institutions. Radiomics features were extracted from tumor areas on CT images, and Deep Residual Shrinkage Networks with Channel-wise Thresholds (DRSN-CW) algorithm was utilized to build prediction model. We assessed the model’s impact on enhancing radiologists’ diagnostic performance and employed Shapley Additive Explanation (SHAP) to interpret the influence of key features on predictions.</p><h3>Results</h3><p>The prediction model achieved strong prediction performance with AUCs of 0.896 (95% CI: 0.866–0.923), 0.849 (0.782–0.908), 0.845 (0.782–0.901) and 0.799 (0.709–0.881) in the training and validation cohorts. Crucially, when informed by the model, radiologists demonstrated a significant improvement in diagnosing LVI. SHAP analysis provided detailed insights into the model’s decision-making process, enhancing its clinical relevance. We also observed that patients predicted to be LVI-negative by the model had significantly longer overall survival (OS) compared to those LVI-positive (training cohort, <i>p</i> = 0.012; internal validation cohort, <i>p</i> = 0.046).</p><h3>Conclusions</h3><p>This study introduces a CT-based prediction model that significantly enhances radiologists’ ability to accurately diagnose LVI in CRC. By improving diagnostic accuracy and demonstrating the association between LVI predictions and OS, the model provides a valuable tool for clinical decision-making, with the potential to improve patient outcomes.</p></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"4541 - 4552"},"PeriodicalIF":2.2,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143962840","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":"Radiomics-based assessment of HER2 status and prognosis in gastric cancer: a retrospective dual-center CT study","authors":"Manman Li,&nbsp;Shu Jiang,&nbsp;Siyu Zhou,&nbsp;Wang Chen,&nbsp;Yong Xiao,&nbsp;Yigang Fu,&nbsp;Feng Feng,&nbsp;Guodong Xu","doi":"10.1007/s00261-025-04912-0","DOIUrl":"10.1007/s00261-025-04912-0","url":null,"abstract":"<div><h3>Purpose</h3><p>This research investigated the potential of CT-based radiomics analysis for predicting human epidermal growth factor receptor 2 (HER2) status and assessing the prognosis of patients with gastric cancer (GC).</p><h3>Methods</h3><p>431 patients with GC from two medical centers were included in this retrospective study, with patients allocated to a training cohort (<i>n</i> = 221), a testing cohort (<i>n</i> = 94), and an external validation cohort (<i>n</i> = 116). Radiomics features and clinical variables associated with HER2 status were identified, and the radiomics score was subsequently derived. A radiomics model was constructed using the radiomics score, and a nomogram was developed by integrating related variables. The predictive accuracy of models was assessed via receiver operating characteristic curves, with the area under the curve (AUC) being computed. Prognostic significance was assessed by exploring the association between nomogram-predicted HER2 status and overall survival (OS).</p><h3>Results</h3><p>The radiomics model yielded AUCs of 0.801, 0.793, and 0.784 for the training, testing, and external validation cohorts, respectively. A nomogram that integrated sex, CA72-4 levels, and radiomics score exhibited enhanced predictive accuracy, achieving AUCs of 0.847, 0.836, and 0.828 across the cohorts. Decision curve analysis highlighted the clinical utility of the nomogram, illustrating its ability to deliver a higher net benefit. In addition, survival analysis indicated that individuals with nomogram-predicted HER2 positivity experienced significantly shorter OS, providing robust risk stratification and prognostic insights.</p><h3>Conclusion</h3><p>The CT-based radiomics nomogram demonstrated the ability to non-invasively predict preoperative HER2 status and stratify prognostic risk in this GC cohort.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"4521 - 4532"},"PeriodicalIF":2.2,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802126","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":"Diagnostic performance of radiomics models for preoperative prediction of microsatellite instability status in endometrial cancer: a systematic review and meta-analysis","authors":"Nima Broomand Lomer,&nbsp;Armin Nouri,&nbsp;Roshan Singh,&nbsp;Sonia Asgari","doi":"10.1007/s00261-025-04933-9","DOIUrl":"10.1007/s00261-025-04933-9","url":null,"abstract":"<div><h3>Purpose</h3><p>Microsatellite instability (MSI), caused by defects in mismatch repair (MMR) genes, serves as a critical molecular biomarker with therapeutic implications for endometrial cancer (EC). This study aims to assess the diagnostic performance of radiomics as a non-invasive approach for predicting MSI status in EC.</p><h3>Methods</h3><p>A systematic search across PubMed, Scopus, Embase, Web of Science, Cochrane library and Clinical Trials was conducted. Quality assessment was performed using QUADAS-2 and METRICS. Pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were computed using a bivariate model. Separate meta-analyses for radiomics and combined models were conducted. Subgroup analysis and sensitivity analysis were conducted to find potential sources of heterogeneity. Likelihood ratio scattergram was used to evaluate the clinical applicability.</p><h3>Results</h3><p>A total of 9 studies (1650 patients) were included in the systematic review, with seven studies contributing to the meta-analysis of radiomics model and five for combined model. The pooled diagnostic performance of the radiomics model was as follows: sensitivity, 0.66; specificity, 0.89; PLR, 5.48; NLR, 0.43; DOR, 18.56; and AUC, 0.87. For combined model, the pooled sensitivity, specificity, PLR, NLR, DOR, and AUC were 0.58, 0.94, 7.37, 0.50, 16.43, and 0.85, respectively. Subgroup analysis of radiomics models revealed that studies employing non-linear classifiers achieved superior performance compared to those utilizing linear classifiers.</p><h3>Conclusion</h3><p>Radiomics showed promise as non-invasive tool for MSI prediction in EC, with potential clinical utility in guiding personalized treatments. However, further studies are required to validate these findings.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"4939 - 4959"},"PeriodicalIF":2.2,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802111","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":"Looking at or beyond the tumor - a systematic review and meta-analysis of quantitative imaging biomarkers predicting pancreatic cancer prognosis","authors":"Zihe Wang,&nbsp;Liang Zhu,&nbsp;Yitan Wang,&nbsp;Xianlin Han,&nbsp;Qiang Xu,&nbsp;Menghua Dai","doi":"10.1007/s00261-025-04919-7","DOIUrl":"10.1007/s00261-025-04919-7","url":null,"abstract":"<div><h3>Objectives</h3><p>To evaluate the prognostic value of quantitative imaging biomarkers derived from computed tomography (CT) and magnetic resonance imaging (MRI) for pancreatic cancer (PC), with a particular focus on body composition parameters beyond the traditional intrinsic features of the tumor.</p><h3>Methods</h3><p>PubMed, EMBASE, and Cochrane Library databases were searched for articles on quantitative imaging biomarkers obtained from CT or MRI in predicting PC prognosis published between January 2014 and August 2024. The Newcastle-Ottawa scale was used to assess the quality of the included studies. Survival outcomes, such as overall survival (OS) and recurrence-free survival (RFS), were evaluated. The pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using a random-effects model. In case of high heterogeneity, subgroup analyses and sensitivity analyses were performed to identify potential sources of heterogeneity among the studies.</p><h3>Results</h3><p>We performed a meta-analysis of ten imaging biomarkers investigated in 43 included studies. Larger tumor size, lower skeletal muscle radiodensity, lower skeletal muscle index (SMI), presence of sarcopenic obesity, lower psoas muscle index (PMI), higher visceral to subcutaneous adipose tissue area ratio, and lower visceral adipose tissue index were associated with significantly worse OS. In particular, lower SMI and lower PMI had relatively high HRs (1.65 for SMI, 95% CI 1.39–1.96, and 2.20 for PMI, 95% CI 1.74–2.78). Patients with lower SMI exhibited poorer RFS (HR 1.78, 95% CI 1.46–2.18). Subgroup analyses identified the origin region of the study and intervention type as potential factors of heterogeneity for SMI in predicting OS.</p><h3>Conclusions</h3><p>Imaging biomarkers indicating body composition at PC diagnosis may play an important role in predicting patient prognosis. Further prospective multi-center studies with large sample sizes are needed for validation and translation into clinical practice.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"4646 - 4660"},"PeriodicalIF":2.2,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802117","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":"Fast prostate MRI vs. conventional multiparametric prostate MRI: comparison and outcomes","authors":"Hamed Kordbacheh,&nbsp;Gorica Ristic,&nbsp;Elisabeth Heath,&nbsp;Seongho Kim,&nbsp;Kumayl Raza,&nbsp;Lance Heilbrun,&nbsp;Hussein D Aoun","doi":"10.1007/s00261-025-04918-8","DOIUrl":"10.1007/s00261-025-04918-8","url":null,"abstract":"<div><h3>Purpose</h3><p>To assess the overall concordance of a fast prostate MRI (fpMRI) protocol versus conventional multiparametric prostate MRI (mpMRI) protocol.</p><h3>Methods</h3><p>This is an IRB approved retrospective review of 100 men between the ages of 50 and 80 who underwent mpMRI exams from January 2016 to May 2021. The mpMRI exams selected came from three categories: Group A (PI-RADS 1–2); Group B (PI-RADS 3); and Group C (PI-RADS 4–5). Two masked radiologists independently reviewed and assigned each fpMRI case the highest possible lesion PI-RADS score. The collected fpMRI scores were then compared to the mpMRI results, PSA values, and available targeted biopsy outcomes.</p><h3>Results</h3><p>The concordance rates between the two fpMRI reviewers and mpMRI for the individually assessed groups (A, B, C) were 0.69 (95% CI,0.62 to 0.75). The PPV of groups B or C combined for GS <i>≥</i> 7 for mpMRI, R1 fpMRI, and R2 fpMRI was 62% (40/64; 95% CI,0.50 to 0.74), 67% (40/60; 95% CI,0.53 to 0.78), and 72% (39/54; 95% CI,0.58 to 0.84), respectively. The negative predictive value (NPV) of group B or C combined for GS ≥ 7 on mpMRI, R1 fpMRI, and R2 fpMRI was 100% (3/3; 95% CI,29 to 100%), 100% (7/7; 95% CI,59 to 100%), and 92% (12/13; 95% CI,64 to 100%), respectively.</p><h3>Conclusions</h3><p>The concordance rates, PPV and NPV between the mpMRI and fpMRI results for groups B and C were moderately high, moderately high, and very high, respectively. This pilot study suggests that a larger prospective study might be beneficial to help establish fpMRI as a screening tool for prostate cancer.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"4835 - 4843"},"PeriodicalIF":2.2,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794457","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":"Radiological manifestations of bariatric surgeries","authors":"Nidhi Desai,&nbsp;Michael Calderon,&nbsp;Patricia Abbitt,&nbsp;Laura Magnelli","doi":"10.1007/s00261-025-04911-1","DOIUrl":"10.1007/s00261-025-04911-1","url":null,"abstract":"<div><p>Bariatric surgeries have been increasing in prevalence as the obesity epidemic climbs in the United States. As with any surgery, bariatric procedures come with their respective risks and complications which are generally well depicted in radiological studies. Traditionally, fluoroscopy has been an accepted form of evaluating anatomy, obstruction, and leaks. With the rise in cross sectional imaging methods, abdominal computed tomography (CT) has provided much more specificity to identify and characterize major complications. This review article will demonstrate the imaging findings and complications of the most common bariatric surgeries performed in the southeast United States at a single, large tertiary care center: Roux-en-Y gastric bypass, adjustable gastric band, and sleeve gastrectomy. This image-rich comprehensive review presents the radiological manifestations of the anatomy and potential complications of these bariatric surgeries primarily through the modalities of CT and CT-angiography (CTA) with the occasional assistance of fluoroscopy. It is crucial for general radiologists, emergency medicine physicians, and surgeons to recognize these imaging findings as they will frequently encounter patients with complications in their clinical settings. While one anastomosis gastric bypass (OAGB) and single-anastomosis duodenal-ileal switch (SAIDS) surgeries are other recognized bariatric procedures, these are not commonly performed regionally and therefore post-operative images of these procedures and complications are excluded.</p></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"4507 - 4520"},"PeriodicalIF":2.2,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794461","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":"SpaceOAR hydrogel complications in prostate cancer radiotherapy: a pictorial review","authors":"Maximilian Pohl,&nbsp;Nabih Nakrour,&nbsp;Yashant Aswani,&nbsp;Soumyadeep Ghosh,&nbsp;Klara Pohl,&nbsp;Abdelrahman Elshikh,&nbsp;Mankan Yatin,&nbsp;Rory L. Cochran,&nbsp;Michael Fuchsjaeger,&nbsp;Mukesh Harisinghani","doi":"10.1007/s00261-025-04922-y","DOIUrl":"10.1007/s00261-025-04922-y","url":null,"abstract":"<div><p>Since its approval by the United States Food and Drug Administration (FDA), the rectal hydrogel spacer system SpaceOAR (SpaceOAR™ and Space-OAR Vue™, Boston Scientific Corporation, Marlborough, Massachusetts, United States) has become widely adopted in radiation therapy protocols for prostate cancer patients. The biodegradable hydrogel creates a temporary space between the prostate and rectum, thereby effectively reducing the radiation exposure to the anterior rectal wall. While the system is generally safe, potential complications can occur and should be recognized by radiologists. This pictorial review aims to familiarize radiologists with imaging features of SpaceOAR-related complications to ensure accurate diagnosis and reporting.</p></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"4803 - 4810"},"PeriodicalIF":2.2,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143787648","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":"Diagnostic value of combining ultrafast cine MRI and morphological measurements on gastroesophageal reflux disease","authors":"Qing Liu,&nbsp;Yujing Xin,&nbsp;Chao Wu,&nbsp;Jing Li,&nbsp;Hongyan Song,&nbsp;Yihong Zhang,&nbsp;Jie Fu,&nbsp;Zhi Jia,&nbsp;Haoran Sun","doi":"10.1007/s00261-025-04890-3","DOIUrl":"10.1007/s00261-025-04890-3","url":null,"abstract":"<div><h3>Purpose</h3><p>To evaluate the diagnostic performance of combining ultrafast real-time cine MRI with morphological measurements on gastroesophageal reflux disease (GERD).</p><h3>Methods</h3><p>In the prospective study, 40 healthy volunteers and 30 GERD patients underwent real-time cine MRI using an undersampled low-angle gradient echo sequence (50 ms/frame) with deep-learning reconstruction, to monitor the gastroesophageal junction (GEJ) and observe the reflux of the contrast agent during the Valsalva maneuver. The width of the lower esophagus, the length of the lower esophageal sphincter (LES), the end-expiratory and post Valsalva maneuver His angle were measured.</p><h3>Results</h3><p>There were no statistical differences between the two group either in lower esophageal width (14.06 ± 1.50 mm vs. 14.75 ± 1.57 mm, <i>P</i> &gt; 0.05) or LES length (25.20 ± 1.46 mm vs. 24.39 ± 1.68 mm, <i>P</i> &gt; 0.05). The end-expiratory His angle (84.45 ± 18.67°) and post Valsalva maneuver His angle (101.53 ± 19.22°), and the differences between them (17.08 ± 5.65°) in the GERD group were greater than those in the healthy volunteers (71.51 ± 18.01°, 86.09 ± 18.24°, 14.57 ± 3.88° respectively, <i>P</i> &lt; 0.05). Reflux was induced in 8 cases of GERD group including 4 cases with hiatus hernia and not observed in healthy volunteers. The AUC for diagnosing GERD were 0.702, 0.737 and 0.634 for end-expiratory, post Valsalva maneuver His angle and their differences, when combined with real-time MRI was 0.823, with a sensitivity of 86.67% and a specificity of 67.50%.</p><h3>Conclusion</h3><p>Real-time MRI can display dynamic swallowing and reflux at the GEJ. The His angle can serve as a morphological indicator for diagnosing GERD with MRI.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"4495 - 4506"},"PeriodicalIF":2.2,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143787638","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":"Kidney cancer diagnosis and surgery selection by double decker convolutional neural network from CT scans combined with great wall construction algorithm","authors":"Harish Kumar,&nbsp;Anuradha Taluja,&nbsp;Elangovan Muniyandy,&nbsp;Srinivas Kolli","doi":"10.1007/s00261-025-04900-4","DOIUrl":"10.1007/s00261-025-04900-4","url":null,"abstract":"<div><p>One of the most prevalent cancers in the world is kidney cancer (KC). A precise diagnosis, which is influenced by a number of variables, such as the size or volume of the tumor, the types and stages of the cancer, etc., is essential for the treatment of patients with kidney cancer. In this work two main types of kidney cancer: normal and abnormal, using the accessible KiTS21 dataset of contrast-enhanced CT scans and associated data from patients. Many of these techniques show poor accuracy, which raises doubts regarding their efficiency and dependability. To overcome these limitations, this paper presents the use of a double-decker convolutional neural network with the great wall construction algorithm (DDCNN-GWCA). Hybrid quick conventional bilateral filter improves the quality of pre-processed data by reducing noise while preserving crucial information by using the KiTS21 dataset. Practical Quantum K-Means Clustering is used for segmentation to improve detection efficiency and accuracy. The Q-value Regularized Transformer (QT) is a feature extraction method that combines the power of transformers with Q-value regularization to capture the relevant features. A Double-Decker Convolutional Neural Network's multi-layered architecture is used for classification to identify the classes. The Great Wall Construction Algorithm is an innovative optimization technique that optimizes the hyperparameters of the Double Decker Convolutional Neural Network (DDCNN), ensuring enhanced performance. It obtained scores of 98.9% for the KiTS21 dataset. These results demonstrate the strategy's ability to outperform existing methods and open the way for major advances in the diagnosis of kidney cancer.</p></div>","PeriodicalId":7126,"journal":{"name":"Abdominal Radiology","volume":"50 10","pages":"4811 - 4834"},"PeriodicalIF":2.2,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143787643","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}