Journal of Computer Assisted Tomography最新文献

{"title":"Deep Learning Segmentation of Pelvic Soft Tissue in Isotropic and Anisotropic MRI Using Routine T2 Scans.","authors":"Renske Schram, Reinier S A Ten Brink, Manon A G Bakker, Can O Tan, Joep Kraeima, Jean-Paul P M de Vries, Arthur R Wijsmuller","doi":"10.1097/RCT.0000000000001828","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001828","url":null,"abstract":"<p><strong>Objectives: </strong>Automated segmentation of 3D pelvic topography using deep learning networks has the potential to improve the accuracy of preoperative planning and surgical navigation. However, anisotropic MRI scans-often used in clinical practice-present a major limitation due to their uneven resolution across anatomical planes. We compared the performance of a model trained on anisotropic versus isotropic MRI reconstructions for the segmentation of pelvic muscle and nerve tissue.</p><p><strong>Methods: </strong>A total of 35 rectal cancer patients were included, each with axial, sagittal, and coronal T2-weighted MRI scans. Isotropic volumes were reconstructed from anisotropic scans. Two nnU-Net models were trained: one on anisotropic data and the other on isotropic reconstructions. Both models were evaluated for their segmentation of the sacral nerves, obturator nerve, and piriformis muscle. Dice Similarity Coefficient (DSC), Intersection over Union (IoU), precision, and recall were calculated to assess model performance.</p><p><strong>Results: </strong>The performance of the model trained on isotropic images had better segmentation performance, with particularly noticeable improvement for the obturator nerve (DSC: 0.76 vs. 0.71). Both models achieved high DSC scores for the piriformis muscle (>0.95) and good performance for the sacral nerves (>0.86). Qualitative evaluation showed smoother and more natural anatomical representations in isotropic models, while anisotropic models displayed rougher, discontinuous surfaces.</p><p><strong>Conclusions: </strong>Isotropic MRI reconstructions yielded slightly better segmentation results and provided more anatomically accurate 3D models. This suggests that isotropic reconstruction should be favored in clinical workflows to improve segmentation accuracy and efficiency in pelvic MRI images for accurate preoperative planning and surgical navigation.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146213404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early Experience Utilizing 4D-CT Radiomic Features for Differentiation of Parathyroid Adenomas From Lymph Nodes and Thyroid Nodules.","authors":"Chime Ezenekwe, Asim Dhungana, Michael H Zhang, Irfan Hussain, Daniel T Ginat","doi":"10.1097/RCT.0000000000001825","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001825","url":null,"abstract":"<p><strong>Objective: </strong>Minimally invasive parathyroidectomy (MIP) requires high-fidelity localization of parathyroid adenomas through preoperative imaging, commonly 4-dimensional computed tomography (4D-CT). Texture analysis extracts high-order mathematical features from an image and may be applied to 4D-CT for quantitative differentiation of lymph nodes and thyroid nodules from parathyroid adenomas.</p><p><strong>Methods: </strong>This is a retrospective cohort study of 51 patients diagnosed with PHPT and known parathyroid adenoma and/or thyroid nodule who have undergone preoperative 4D-CT imaging before parathyroidectomy. Three anatomic structures (parathyroid adenoma, lymph node, and thyroid nodule) were manually segmented on 25-second arterial phase axial sections of the 4D-CT scans. Radiomic data were extracted for shape, first-order, and second-order classes (107 total features) for each of the structures in each patient. A series of t tests were conducted to assess for radiomic features with statistically significant differences in lymph nodes or thyroid nodules when compared with parathyroid adenomas. A multivariable logistic regression model for discrimination of parathyroid adenomas was trained on a subset of the data set and assessed on a hold-out test subset.</p><p><strong>Results: </strong>When comparing parathyroid adenomas and lymph nodes, 14/18 first-order features and 44/75 second-order features were statistically significantly different (P<0.05), of which 13/18 first-order features and 16/75 second-order features were potent discriminators (P<0.0001). No features were significantly different between parathyroid adenomas and thyroid nodules. A multivariable logistic regression model for discrimination of parathyroid adenomas from lymph nodes achieved strong predictive performance (AUC: 0.95, 95% CI: 0.86-1).</p><p><strong>Conclusions: </strong>Parathyroid adenomas and lymph nodes have statistically distinct radiomic textural signatures on arterial phase 4D-CT, with the most significant differences found in first-order textural features. These findings may facilitate the development of future machine learning models for automated differentiation of parathyroid adenomas, further enhancing uptake of MIP and improving clinical outcomes.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145573763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preoperative Detection of Perirenal Fat Invasion in Renal Cell Carcinoma: Integration of Qualitative and Quantitative CT Parameters.","authors":"Hyo Jeong Lee, Taek Min Kim, Jongwoo Park, Jeong Yeon Cho, Sang Youn Kim","doi":"10.1097/RCT.0000000000001820","DOIUrl":"10.1097/RCT.0000000000001820","url":null,"abstract":"<p><strong>Objective: </strong>We aimed to improve preoperative accuracy of tumor staging by evaluating the ability of qualitative and quantitative CT imaging features to predict perirenal fat invasion (PFI) in renal cell carcinoma (RCC).</p><p><strong>Methods: </strong>This retrospective case-control study included 86 patients with pathologically proven PFI and 169 controls matched for tumor size without PFI who were treated by nephrectomy between January 2016 and December 2020. Two radiologists independently evaluated the qualitative imaging features of tumor complexity, shape, margin, tumor-fascia contact, perirenal vascularity, fascial thickening, septation, stranding, and nodules. We also compared tumor contact length and protruding distance between the groups. Multivariate logistic regression analyses identified significant predictors of PFI, and diagnostic performance metrics of all predictors were assessed to create a combined model that included all significant predictors.</p><p><strong>Results: </strong>Lobulated shapes and irregular margins were more prevalent in the group with than without PFI ( P <0.05). Perirenal increased vascularity, fascial thickening, septation, stranding, and nodularity were also significantly more prevalent in the PFI group ( P <0.05 for all). Tumor contact length and protruding distance were significantly greater in the PFI group ( P =0.002). Multivariate analysis identified the following independent predictors of PFI: lobulated tumors [odds ratio (OR): 2.03; P =0.042], irregular margin (OR: 3.40; P =0.007), perirenal fascial thickening (OR: 4.20; P <0.001), and contact length >154.2 mm (OR: 3.82; P =0.019). The diagnostic performance of these combined predictors was moderate, with 61.6% sensitivity, 79.3% specificity, and 73.3% accuracy.</p><p><strong>Conclusions: </strong>Qualitative CT features (lobulated tumors, irregular margins, perirenal thickened fascia) and an objective quantitative parameter (threshold 154.2 mm tumor contact length) were significant independent predictors of perirenal fat invasion in RCC. These findings emphasize the complementary value of combining subjective and objective imaging features to enhance preoperative staging accuracy.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145587500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical Utility of a New Protocol Using Saline Test Injection and a Leak Detection Sensor to Reduce the Frequency and Amount of Extravasation During Contrast-Enhanced CT.","authors":"Yoriaki Matsumoto, Yuko Nakamura, Miho Kondo, Shogo Kamioka, Kazushi Yokomachi, Chikako Fujioka, Yusuke Ochi, Masao Kiguchi, Wataru Fukumoto, Hidenori Mitani, Keigo Chosa, Kazuo Awai","doi":"10.1097/RCT.0000000000001824","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001824","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate whether our new protocol that uses a saline test injection and a leak detection sensor (LDS) reduces the frequency and amount of contrast media (CM) extravasation during the intravenous CM administration for CT.</p><p><strong>Methods: </strong>This retrospective study included 20,342 patients who underwent CECT at our hospital from March 2021 to November 2021 (old protocol, direct patient observation, and CM injection pressure monitoring, n=10,529) and from March 2024 to November 2024 (new protocol, old protocol plus saline test injection, and the LDS attachment, n=9813). We compared the frequency and the volume of extravasation between the 2 protocols using the Fisher exact test and the Mann-Whitney U test. We also evaluated the accuracy of the LDS.</p><p><strong>Results: </strong>Extravasation occurred in 51 patients (age 72.1±12.2 y, 33 men) under the old protocol and in 26 patients (age 73.6±9.0 y, 17 men) with the new protocol. The overall frequency of extravasation and the number of patients with an extravasation volume of at least 20 mL were significantly lower with the new protocol than the old protocol (0.48% vs. 0.26%; 0.16% vs. 0.03% all, P<0.01). The extravasation volume was significantly reduced with the new protocol (14 vs. 6 mL, P<0.01). The sensitivity of the LDS to detect extravasation of 3, 5, 10, and 15 mL was 50%, 88%, 93%, and 100%, respectively; specificity was 99% for all.</p><p><strong>Conclusions: </strong>Our new protocol reduced the frequency and dose of CM extravasation.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145541052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging Approach to Diverticular Disease of the Small Bowel.","authors":"Irfan Amir Kazi, Ayman H Gaballah, Amr Abdelaziz, Aejaz Ahmed Gonegandla, Joe Jose, Shruti Kumar, Maaz Ghouri, Khaled Elsayes, Bareen Kabir, M Azfar Siddiqui","doi":"10.1097/RCT.0000000000001817","DOIUrl":"10.1097/RCT.0000000000001817","url":null,"abstract":"<p><p>Acquired diverticular disease of the small bowel is often seen in the duodenum. It is an uncommon but under-recognized entity in the jejunum and the ileum. Meckel's diverticulum, a true diverticulum arising in the distal ileum, although the most common congenital abnormality of the gastrointestinal tract, is rare and occurs in about 2% of the population. Most of the time, diverticular disease of the small bowel is asymptomatic. Common complications of small bowel diverticular disease include diverticulitis and hemorrhage. Diverticulitis of the small bowel is an uncommon cause of acute abdomen and may be misdiagnosed if not included in differential considerations based on the imaging features. Certain specific complications can occur related to the location of the diverticulum or due to other factors associated with the diverticulum. For example, obstructive jaundice (Lemmel syndrome) can occur in the setting of a duodenal diverticulum, and intestinal obstruction can occur in the setting of a Meckel's diverticulum. Familiarity with the different imaging manifestations of small bowel diverticular disease complications can help with appropriate diagnoses, thereby improving patient management.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145534563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CT-Guided Anchored Needle Versus Hook-Wire Localization for Pulmonary Nodules: A Meta-Analysis.","authors":"Gang Wang, Chong-Jin Ren, Yi-Bing Shi, Hua-Mei Miao","doi":"10.1097/RCT.0000000000001823","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001823","url":null,"abstract":"<p><p>Preoperative computed tomography (CT)-guided localization is widely used to facilitate the surgical resection of pulmonary nodules (PNs) through video-assisted thoracoscopic surgery (VATS). This meta-analysis aims to compare the clinical performance and safety profile of 2 commonly used localization techniques: the anchored needle (AN) and the hook-wire (HW) method. A systematic search was conducted using the PubMed, Wanfang, and Cochrane Library databases to identify relevant comparative studies. Key outcome measures were extracted and analyzed using Stata v12.0 and RevMan v5.3. Seven retrospective studies conducted in China met the inclusion criteria, encompassing a total of 1557 patients. Among these, 889 patients with 961 PNs underwent CT-guided AN localization, whereas 668 patients with 697 PNs received HW localization. Compared with HW, AN localization demonstrated a significantly higher rate of successful localization (P <0.001), lower rates of overall complications (P=0.01), pneumothorax (P=0.003), and pulmonary hemorrhage (P=0.004). Patients in the AN group also reported significantly lower pain scores (P <0.001). Two groups exhibited similar localization (P=0.48) and VATS (P=0.93) time. Notable heterogeneity was observed in localization time, complication rate, VATS time, and pain score (I²=91%, 73%, 94%, and 94%, respectively). No evidence of publication bias was detected across the analyzed outcomes. CT-guided AN localization seems to offer higher successful localization rate and a lower complication rate compared with HW localization for patients undergoing surgical management of PNs.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145541098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Limitations of Bone Marrow Relative Fat Fraction Compared With Proton Density Fat Fraction.","authors":"Tamara Scott, Matthew Mader, Rianne A van der Heijden, Scott B Reeder, Diego Hernando, Ali Pirasteh","doi":"10.1097/RCT.0000000000001821","DOIUrl":"10.1097/RCT.0000000000001821","url":null,"abstract":"<p><strong>Objective: </strong>Changes in bone marrow fat content measured through relative fat fraction (rFF) obtained from dual-echo gradient-recalled echo (GRE) in- and opposed-phase (IOP) MRI have been proposed to evaluate treatment response for multiple myeloma. However, rFF suffers from several significant limitations that lead to inaccurate fat fraction measurements. In contrast, proton density fat fraction (PDFF) is the most objective and validated MRI metric of tissue fat content, and it is measured through confounder-corrected, multiecho, chemical-shift-encoded (CSE) MRI. The purpose of this study was to evaluate the linearity and bias of bone marrow rFF compared with PDFF.</p><p><strong>Methods: </strong>This single-center, retrospective study included 100 patients who underwent clinical MRI for liver fat/iron quantification at 1.5T and 3.0T (50 exams/patients for each field strength), which included dual-echo GRE IOP and commercial multiecho CSE MRI (IDEAL-IQ). One region of interest (ROI) was placed in each of the T12, L1, and L2 vertebral bodies. Per-ROI rFF was calculated using (SIP and SOP = signal intensities on IP and OP images, respectively). rFF was correlated with PDFF using linear regression and coefficient of determination (R2). Bland-Altman analysis evaluated rFF bias across the observed range for R2* and PDFF; mean bias and 95% limits of agreement (LOA) were reported.</p><p><strong>Results: </strong>Bone marrow rFF demonstrated no linearity against PDFF at 1.5T or at 3.0T (R2 = 0.032 and 0.057, respectively). Moreover, bone marrow rFF demonstrated significant bias with respect to PDFF at 1.5T and 3.0T, with significant bias that increases directly with bone marrow fat fraction.</p><p><strong>Conclusions: </strong>Bone marrow rFF is nonlinear and variably biased compared with PDFF and should not be used in research or clinical settings.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145541068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Bone MRI With Vendor-Independent Deep Learning: A Comparative Study of CT and 3D VIBE CAIPI-Dixon Sequences for Shoulder Assessment.","authors":"JuYeon Kim, Ieun Yoon, Minju Cho, Seungwook Yang, Sheen-Woo Lee","doi":"10.1097/RCT.0000000000001819","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001819","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the feasibility of generating high-resolution CT-like bone images from shoulder 3D-VIBE CAIPIRINHA Dixon MRI using vendor-independent deep-learning reconstruction.</p><p><strong>Methods: </strong>This IRB-approved retrospective study included patients who underwent shoulder MRI and CT between January 2023 and 2024. MRI was performed on a 3.0-T system with a dedicated coil. Patients with study dates >6 months apart or poor image quality were excluded. A 3D multiecho VIBE CAIPIRINHA-Dixon sequence was postprocessed with a DL-based tool. In-phase and opposed-phase images before (Ori-In, Ori-Op) and after DL processing (DL-In, DL-Op) were evaluated by 2 musculoskeletal radiologists for pathology, anatomic visibility, artifacts, and glenoid dimensions, using a Likert scale. CT served as the gold standard. Relative contrast-to-noise (rCNR) and signal-to-noise ratios (rSNR) were assessed by radiologists and a computer scientist. Statistical tests included Friedman, Wilcoxon Rank, Kruskal-Wallis, and intraclass correlation coefficients.</p><p><strong>Results: </strong>Ninety-nine patients (52 males, 47 females; age range: 17-87) were included. Cortical visibility score of humerus was significantly higher in DL-Op [median value: 2.75, interquartile range (IQR): 1.5 to 3.5 than Ori: 2 (1.5 to 2.44), P<0.001]. Trabecular score was higher on DL-In and Op (2.63 and 2.75) than Ori (2, P<0.001). DL-In images had the minimal artifacts [2 (1.5 to 2.38)] with the best rSNR (humerus: 110.82; glenoid: 92.14) and rCNR (humerus: 39.45; glenoid: 21.40). Ori-In underestimated longitudinal diameter compared with CT (P=0.046); transverse diameters were similar across sequences. The median DL-in and DL-op scores of rotator cuff calcification were 2.38 (IQR: 2.5 to 3.06) and 2.25 (2.06 to 2.94), significantly higher compared with the 1.25 (1 to 2.75) of fat-saturated T2WI. Inter-reader agreement ranged from 0.62 to 0.82 (P<0.001).</p><p><strong>Conclusions: </strong>DL-3D-VIBE CAIPIRINHA Dixon MRI can generate high-quality CT-like images of shoulder joint, providing a potential for a radiation-free bone imaging.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145541076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CT Evaluation of Labyrinth Structures in Patients With Incomplete Partition Type II Anomaly.","authors":"Ipek Sel, Abdullah Soydan Mahmutoglu, Yesim Karagoz, Direnc Ozlem Aksoy, Ece Ates Kus","doi":"10.1097/RCT.0000000000001758","DOIUrl":"10.1097/RCT.0000000000001758","url":null,"abstract":"<p><strong>Objective: </strong>Incomplete partition type II (IP-II) is one of the most common inner ear malformations that necessitates cochlear implantation. It is characterized by a cystic cochlear apex resulting from the coalescence of middle and apical turns due to modiolar hypoplasia and distal interscalar septal defect. Radiologic diagnosis of IP-II anomaly could be difficult with equivocal changes in tiny labyrinthine structures, especially with inexperienced observers. In our study, we aimed to determine pertinent quantitative radioanatomical measurements of inner ear structures (lateral interscalar notch angle, lateral interscalar notch depth, and lateral height) that may contribute to the diagnosis of IP-II anomaly using temporal bone high-resolution computed tomography (HRCT).</p><p><strong>Methods: </strong>Our study was a retrospective case-control study approved by the institutional review board. We retrospectively reviewed temporal bone HRCT examinations for the preoperative assessment of cochlear implantation of patients with sensorineural hearing loss (SNHL), using the diagnosis code of IP-II anomaly. Patients with SNHL and a radiologic diagnosis of IP-II anomaly according to the Sennaroglu classification were recruited. Thirty-four SNHL patients with IP-II anomaly (66 ears) and 24 patients without SNHL (48 ears) who underwent temporal CT imaging for inflammatory conditions or trauma not involving labyrinthine structures were included in the study. The lateral interscalar notch angle, lateral interscalar notch depth, and lateral height were independently measured by 2 observers (a senior head and neck radiologist and a novice radiologist). The parameters measured in patient and control groups were compared using the Mann-Whitney U test, and interobserver reliability was calculated.</p><p><strong>Results: </strong>Lateral interscalar notch angle and lateral height values were found to be significantly larger, while lateral interscalar notch depth value was significantly smaller in the IP-II group ( P <0.05). The agreement between the observers in all measurements, evaluated separately in IP-II and control groups, was excellent ( P <0.05). The cutoff values for determining the IP-II anomaly were found to be consistent between the 2 observers, with high sensitivity and specificity.</p><p><strong>Conclusions: </strong>CT measurements of inner ear structures in SNHL could help to diagnose IP-II anomalies, especially in patients with equivocal audiological and radiologic findings. This study validates CT measurements in the evaluation of IP-II anomaly conducted by histologic specimens and MRI in previous studies. Lateral cochlear measurements with an angle of >130 degrees, a depth of ≤0.35 mm, and a height of >3.15 mm could support the diagnosis of the IP-II anomaly. These measurements are also reproducible.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"1000-1006"},"PeriodicalIF":1.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143968240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiomics Analysis of Apparent Diffusion Coefficient Maps of Parotid Gland to Diagnose Morphologically Normal Sjogren Syndrome.","authors":"Chen Chu, Jie Meng, Huayong Zhang, Qianqian Feng, Shengnan Zhao, Weibo Chen, Jian He, Zhengyang Zhou","doi":"10.1097/RCT.0000000000001754","DOIUrl":"10.1097/RCT.0000000000001754","url":null,"abstract":"<p><strong>Objective: </strong>This study investigated novel radiomic features derived from apparent diffusion coefficient (ADC) maps for diagnosing Sjögren syndrome (SS) in patients without visible magnetic resonance morphologic changes.</p><p><strong>Materials and methods: </strong>This study prospectively analyzed 119 consecutive patients with SS and 95 healthy volunteers using 3.0 T magnetic resonance imaging, including diffusion-weighted imaging with b values of 0 and 1000 s/mm 2 . Regions of interest (ROIs) were manually delineated along the margins of the largest parotid gland slice on ADC maps, from which 838 quantitative features were automatically extracted. Based on the intraclass correlation coefficient and absolute correlation coefficient, 45 radiomic parameters were selected for analysis. The differentiation between patients with SS and healthy controls was evaluated using univariate analysis and receiver operating characteristic analysis. Multiple radiomic features were integrated using binary logistic regression analysis. Through machine learning algorithms, 4 predictive models were developed, and each was thoroughly evaluated for predictive performance. The Shapley Additive exPlanations (SHAP) approach was employed to elucidate the predictive factors influencing the model.</p><p><strong>Results: </strong>Twenty-two radiomic parameters demonstrated significant differences between SS and control groups. The AUCs were 0.681 ± 0.100 (0.559~0.878). The optimal diagnostic combination for SS consisted of 6 parameters: 0.975Quantile, 180dr_D(4)_Cluster Prominence, 225dr_D(7)_Entropy, 315dr_D(7)_Entropy, Compactness2, and Max3D Diameter, achieving an AUC of 0.956. The SVM, GBM, and XGBoost models were effectively distinguished SS from healthy controls. Among all the parameters, Max3DDiameter demonstrated the strongest predictive power in the model.</p><p><strong>Conclusions: </strong>Radiomic features derived from ADC maps demonstrate significant potential in facilitating the early diagnosis of SS.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"993-999"},"PeriodicalIF":1.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144023722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}