Journal of Computer Assisted Tomography最新文献

{"title":"Fixed Versus Tailored Scan Delay for Pancreatic Phase Acquisition: Comparison of Scan Timing Adequacy.","authors":"Yoshifumi Noda, Yukiko Takai, Masashi Asano, Nobuyuki Kawai, Tetsuro Kaga, Akio Ito, Toshiharu Miyoshi, Fuminori Hyodo, Hiroki Kato, Masayuki Matsuo","doi":"10.1097/RCT.0000000000001774","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001774","url":null,"abstract":"<p><strong>Purpose: </strong>To compare the scan timing adequacy for the pancreatic phase between fixed and tailored scan delay in the pancreatic protocol CT with a bolus-tracking technique.</p><p><strong>Materials and methods: </strong>This retrospective study included patients who underwent pancreatic protocol CT using a fixed scan delay of 20 s from January 2020 to November 2022 (conventional group) and those using a tailored scan delay from January 2023 to July 2024 (tailored group). Tailored scan delay was identified to be the same as the time from contrast injection to reaching to trigger threshold of 100 HU (TimeTRIG). The scan delay ratio (SDR) was calculated by dividing the scan delay by TimeTRIG. Two radiologists assessed the scan timing adequacy for the pancreatic phase and classified it into 3 categories: early, appropriate, and late. The SDR and scan timing adequacy were compared between the conventional and tailored groups.</p><p><strong>Results: </strong>This study involved 128 patients (75 men; median age, 71 y), including 63 and 65 in the conventional and tailored groups, respectively. The median SDR was significantly different between the two groups (1.2 and 1.0 in the conventional and tailored groups; P<0.001). The proportion of appropriate scan timing for the pancreatic phase was higher in the tailored group (55/65; 84%) than in the conventional group (47/63; 75%); however, no statistical significance was observed (P = 0.36).</p><p><strong>Conclusions: </strong>The tailored scan delay tended to provide a higher rate of appropriate scan timing for the pancreatic phase compared with the conventional protocol using a fixed scan delay of 20 s.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248082","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":"The Predictive Value of Multiparameter Characteristics of Coronary Computed Tomography Angiography for Coronary Stent Implantation.","authors":"Xiaodie Xu, Ying Wang, Tiantian Yang, Zengkun Wang, Chu Chu, Linbing Sun, Zekai Zhao, Ting Li, Hairong Yu, Ximing Wang, Peiji Song","doi":"10.1097/RCT.0000000000001770","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001770","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to evaluate the predictive value of multiparameter characteristics of coronary computed tomography angiography (CCTA) plaque and the ratio of coronary artery volume to myocardial mass (V/M) in guiding percutaneous coronary stent implantation (PCI) in patients diagnosed with unstable angina.</p><p><strong>Methods: </strong>Patients who underwent CCTA and coronary angiography (CAG) within 2 months were retrospectively analyzed. According to CAG results, patients were divided into a medical therapy group (n=41) and a PCI revascularization group (n=37). The plaque characteristics and V/M were quantitatively evaluated. The parameters included minimum lumen area at stenosis (MLA), maximum area stenosis (MAS), maximum diameter stenosis (MDS), total plaque burden (TPB), plaque length, plaque volume, and each component volume within the plaque. Fractional flow reserve (FFR) and pericoronary fat attenuation index (FAI) were calculated based on CCTA. Artificial intelligence software was employed to compare the differences in each parameter between the 2 groups at both the vessel and plaque levels.</p><p><strong>Results: </strong>The PCI group had higher MAS, MDS, TPB, FAI, noncalcified plaque volume and lipid plaque volume, and significantly lower V/M, MLA, and CT-derived fractional flow reserve (FFRCT). V/M, TPB, MLA, FFRCT, and FAI are important influencing factors of PCI. The combined model of MLA, FFRCT, and FAI had the largest area under the ROC curve (AUC=0.920), and had the best performance in predicting PCI.</p><p><strong>Conclusions: </strong>The integration of AI-derived multiparameter features from one-stop CCTA significantly enhances the accuracy of predicting PCI in angina pectoris patients, evaluating at the plaque, vessel, and patient levels.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248083","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 and Magnetic Resonance Imaging Findings for Differentiating Nodular Fasciitis and Myxofibrosarcoma: Correlation With \"Fascial Tail\" Sign.","authors":"Young Jin Choi, In Sook Lee, You Seon Song, Jeong Il Kim, Kyung Un Choi, Jaehyuck Yi","doi":"10.1097/RCT.0000000000001757","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001757","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to determine the characteristic clinical and magnetic resonance imaging (MRI) findings that can distinguish nodular fasciitis (NF) from myxofibrosarcoma (MFS) because they are sometimes difficult to differentiate due to the overlapping imaging findings, such as the \"fascial tail\" sign.</p><p><strong>Methods: </strong>Thirty patients with NF and 44 with MFS were included in this study. The following MRI features were evaluated: mass size, anatomical and compartmental location, presence and type of pseudo-capsule, degree of heterogeneity, presence, and length of the \"fascial tail\" sign, and presence of peritumoral edema. Using diffusion-weighted images (DWI), we determined the presence of diffusion restriction and measured the apparent diffusion coefficient (ADC) values. On dynamic contrast-enhanced (DCE) images, we obtained the values of Ktrans, Kep, Ve, iAUC, and time-concentration curves using Tissue 4D.</p><p><strong>Results: </strong>The patients with NF were significantly younger than those with MFS. The average sizes of MFS and NF were 6.27±3.74 and 3.03±1.81 cm, respectively. Linear logistic regression analysis revealed that age, recurrence, \"fascial tail\" length, peritumoral edema, enhancement heterogeneity, and Ve differed significantly between the NF and MFS groups. The length of \"fascial tail,\" contrast heterogeneity, and compartmental location were statistically significant factors influencing the recurrence.</p><p><strong>Conclusions: </strong>Older age (above 46 y), larger tumor size (>4 cm), peritumoral edema, enhancement heterogeneity, and longer \"fascial tail\" (>25 mm) are more frequently associated with MFS, while the functional MR imaging findings, except the Ve value (>0.417), showed no significant differences.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248081","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":"Quantitative Evaluation of Acute Pancreatitis Based on Dual-Energy Computed Tomography.","authors":"Yuting Lu, Linxia Wu, Xiaofei Yue, Tao Peng, Ming Yang, Jinhuang Chen, Ping Han","doi":"10.1097/RCT.0000000000001768","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001768","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the value of dual-energy computed tomography (DECT) parameters for the quantitative diagnosis of acute pancreatitis (AP) and classification of its severity.</p><p><strong>Methods: </strong>Patients with AP underwent a plain CT scan and three contrast-enhanced DECT scans. We analyzed the group differences in iodine concentration (IC) and slope of the spectral Hounsfield unit curve (λHU) of the 3-phase enhanced scans (arterial, venous, and delayed phases).</p><p><strong>Results: </strong>The study included 60 AP patients (38 males and 22 females; mean age: 47.43±13.47 y). On the basis of the CT severity index (CTSI), the patients were divided into 2 groups: group A (mild AP, n=26) and group B (moderate/severe AP, n=34). IC and λHU in the arterial and venous phases were all significantly higher in group A than in group B (P<0.001) and could effectively differentiate the 2 groups. The areas under the curve were 0.753 (95% CI: 0.624-0.855), 0.799 (95% CI: 0.676-0.892), 0.774 (95% CI: 0.647-0.872), and 0.842 (95% CI: 0.724-0.923) for IC at arterial and venous phases and λHU at arterial and venous phases, respectively. These parameters decreased with the increase of CTSI, showing significant negative correlations, with r were -0.512 (95% CI: -0.678 to -0.297), -0.492 (95% CI: -0.663 to -0.272), -0.552 (95% CI: -0.707 to -0.346), -0.569 (95% CI: -0.719 to -0.368) for IC at arterial and venous phases and λHU at arterial and venous phases, respectively (P<0.001).</p><p><strong>Conclusions: </strong>DECT imaging can quantitatively analyze AP, and the IC and λHU can be used to distinguish mild and severe cases, adding functional information to the CT morphology to determine the severity and prognosis of the disease.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144150481","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":"Deep Learning-accelerated MRI in Body and Chest.","authors":"Naveen Rajamohan, Barun Bagga, Bhavik Bansal, Luke Ginocchio, Amit Gupta, Hersh Chandarana","doi":"10.1097/RCT.0000000000001762","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001762","url":null,"abstract":"<p><p>Deep learning reconstruction (DLR) provides an elegant solution for MR acceleration while preserving image quality. This advancement is crucial for body imaging, which is frequently marred by the increased likelihood of motion-related artifacts. Multiple vendor-specific models focusing on T2, T1, and diffusion-weighted imaging have been developed for the abdomen, pelvis, and chest, with the liver and prostate being the most well-studied organ systems. Variational networks with supervised DL models, including data consistency layers and regularizers, are the most common DLR methods. The common theme for all single-center studies on this subject has been noninferior or superior image quality metrics and lesion conspicuity to conventional sequences despite significant acquisition time reduction. DLR also provides a potential for denoising, artifact reduction, increased resolution, and increased signal-noise ratio (SNR) and contrast-to-noise ratio (CNR) that can be balanced with acceleration benefits depending on the imaged organ system. Some specific challenges faced by DLR include slightly reduced lesion detection, cardiac motion-related signal loss, regional SNR variations, and variabilities in ADC measurements as reported in different organ systems. Continued investigations with large-scale multicenter prospective clinical validation of DLR to document generalizability and demonstrate noninferior diagnostic accuracy with histopathologic correlation are the need of the hour. The creation of vendor-neutral solutions, open data sharing, and diversifying training data sets are also critical to strengthening model robustness.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144064127","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":"Quantitative Volumetric Analysis of the Patent Foramen Ovale Tunnel in Coronary Computed Tomography Angiography: Clinical Implications and Diagnostic Significance.","authors":"Leyla Mirzayeva, Nezih Yayli, Sümeyye Nur Budak, Murat Uçar, Hüseyin Koray Kiliç, Gonca Erbaş","doi":"10.1097/RCT.0000000000001766","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001766","url":null,"abstract":"<p><strong>Objectives: </strong>(a) To investigate the relationship between tunnel volume (TV) and morphologic parameters of interatrial septum (IAS) in cases with type 3 and type 4 IAS; (b) To investigate the relationship between TV of the IAS and ischemic gliotic foci in brain MRI.</p><p><strong>Materials and methods: </strong>We retrospectively reviewed the images of 301 cases who underwent CCTA in our center between 2020 and 2022. TV, tunnel length (TL), opening diameter of the right (ODRAE) and left atrium entrance (ODLAE), interatrial groove (IAG) diameter, and free flap length (FFL) were measured. The presence, number, and distribution of ischemic gliotic foci were examined in patients who had undergone brain MRI in the last 5 years before the CCTA. Pearson χ2, the Fisher Exact, Mann-Whitney U, linear regression analysis, Kruskal-Wallis test, and the Spearman correlation tests were used for statistical analysis of the data.</p><p><strong>Results: </strong>A shorter FFL was related to the higher IAS type and increased likelihood of jet flow (P=0.013). The correlation between wide IAG diameter and FFL was statistically significant (P=0.003, r=0.22). The correlation between TV and ODRAE and ODLAE was also statistically significant (P<0.001, r=0.364, P<0.001, r=0.332, respectively). In type 3 and type 4 IAS, TV was associated with an increased number of ischemic gliotic foci (P=0.008) and bilateral distribution (P=0.006) on brain MRI.</p><p><strong>Conclusion: </strong>Measurement of TL, ODRAE, ODLAE, and tunnel diameter in symptomatic cases with type 3 and type 4 IAS is crucial in determining the appropriate treatment approach. By adding the TV to the defined parameters, we thought that this innovation would contribute to invasive and noninvasive treatment management.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144003768","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":"Renal Parenchymal Defects Occasionally Observed in Non-Well-Differentiated Perirenal Liposarcomas Unlike in Well-Differentiated Types.","authors":"Yu Nishina, Satoru Morita, Yuko Ogawa, Akihiro Inoue, Yasuhiro Kunihiro, Kazuhiko Yoshida, Toshio Takagi, Goro Honda, Yoji Nagashima, Shuji Sakai","doi":"10.1097/RCT.0000000000001767","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001767","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to clarify the frequency of renal parenchymal defects and deformations in each subtype of perirenal liposarcomas and to compare the differences between well-differentiated and non-well-differentiated types.</p><p><strong>Methods: </strong>Patients with perirenal liposarcomas seen between July 2004 and June 2024 were included. Two radiologists blinded to the subtypes retrospectively evaluated CT or MR images for renal parenchymal defects and deformations. Frequencies of these findings were compared between well-differentiated versus non-well-differentiated types using the Fisher test.</p><p><strong>Results: </strong>Forty-two patients (mean age: 66.3±11.5 y; 15 men) with perirenal liposarcomas were included. Renal parenchymal defects and deformations were observed in 0 (0%) and 1 (7.7%) of 13 well-differentiated, 5 (29.4%) and 6 (35.3%) of 17 dedifferentiated, 3 (37.5%) and 0 (0%) of 8 myxoid, and 1 (25.0%) and 1 (25.0%) of 4 pleomorphic types, respectively. Non-well-differentiated liposarcomas had higher frequencies of renal parenchymal defects and deformations compared with well-differentiated liposarcomas [9 of 29 (31.0%) vs. 0 of 13 (0%), P=0.038 and 7 of 29 (24.1%) vs. 1 of 13 (7.7%), P=0.398].</p><p><strong>Conclusion: </strong>Renal parenchymal defects can be occasionally observed (31.0%) in non-well-differentiated perirenal liposarcomas unlike well-differentiated liposarcomas.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020307","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":"An Integrated Model Combined Conventional Radiomics and Deep Learning Features to Predict Early Recurrence of Hepatocellular Carcinoma Eligible for Curative Ablation: A Multicenter Cohort Study.","authors":"Yong-Hai Li, Gui-Xiang Qian, Yu Zhu, Xue-di Lei, Lei Tang, Xiang-Yi Bu, Ming-Tong Wei, Wei-Dong Jia","doi":"10.1097/RCT.0000000000001764","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001764","url":null,"abstract":"<p><strong>Objective: </strong>Hepatocellular carcinoma (HCC) is the most common primary liver malignancy. Ablation therapy is one of the first-line treatments for early HCC. Accurately predicting early recurrence (ER) is crucial for making precise treatment plans and improving prognosis. This study aimed to develop and validate a model (DLRR) that incorporates deep learning radiomics and traditional radiomics features to predict ER following curative ablation for HCC.</p><p><strong>Methods: </strong>We retrospectively analysed the data of 288 eligible patients from 3 hospitals-1 primary cohort (center 1, n=222) and 2 external test cohorts (center 2, n=32 and center 3, n=34)-from April 2008 to March 2022. 3D ResNet-18 and PyRadiomics were applied to extract features from contrast-enhanced computed tomography (CECT) images. The 3-step (ICC-LASSO-RFE) method was used for feature selection, and 6 machine learning methods were used to construct models. Performance was compared through the area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI) and integrated discrimination improvement (IDI) indices. Calibration and clinical applicability were assessed through calibration curves and decision curve analysis (DCA), respectively. Kaplan-Meier (K-M) curves were generated to stratify patients based on progression-free survival (PFS) and overall survival (OS).</p><p><strong>Results: </strong>The DLRR model had the best performance, with AUCs of 0.981, 0.910, and 0.851 in the training, internal validation, and external validation sets, respectively. In addition, the calibration curve and DCA curve revealed that the DLRR model had good calibration ability and clinical applicability. The K-M curve indicated that the DLRR model provided risk stratification for progression-free survival (PFS) and overall survival (OS) in HCC patients.</p><p><strong>Conclusions: </strong>The DLRR model noninvasively and efficiently predicts ER after curative ablation in HCC patients, which helps to categorize the risk in patients to formulate precise diagnosis and treatment plans and management strategies for patients and to improve the prognosis.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144039410","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":"Effect of New Generation Snapshot Freeze Combined With Deep Learning Image Reconstruction on Image Quality of Coronary Artery Calcifications and Their Quantification.","authors":"Yongjun Jia, Bingying Zhai, Haifeng Duan, Chuangbo Yang, Jian-Ying Li, Nan Yu","doi":"10.1097/RCT.0000000000001765","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001765","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the effectiveness of the new-generation snapshot freeze (SSF2) algorithm combined with Deep Learning Image Reconstruction (DLIR) in improving the image quality of coronary artery calcifications (CAC) and their quantification.</p><p><strong>Methods: </strong>Coronary artery calcification score (CACS) scans were performed on 69 patients using ECG-triggered noncontrast CT. Four groups of images were reconstructed with SSF2 or without (STD), combined with ASIR-V (Adaptive Statistical Iterative Reconstruction-V) and DLIR: STDASIR-V, STDDLIR, SSF2ASIR-V, and SSF2DLIR. CAC image quality was compared, and inter-observer consistency was evaluated among reconstruction groups. CACS, including the Agatston score (AS), volume score (VS), mass score (MS), and the risk stratification based on AS among groups, were compared.</p><p><strong>Results: </strong>The consistencies of the inter-observer image quality scores were excellent or good (kappa=0.705 to 0.837). SSF2ASIR-V and SSF2DLIR had significantly higher scores than STDASIR-V and STDDLIR in reducing motion artifacts of calcified plaques (P<0.05), while no significant differences between SSF2ASIR-V and SSF2DLIR, or between STDASIR-V and STDDLIR (P>0.05). There was no significant difference in CT values of vessels, subcutaneous fat, and muscle in CAC images, but the noises of SSF2ASIR-V and STDASIR-V images were significantly higher than those of SSF2DLIR and STDDLIR images (P>0.05). STDASIR-V had the highest CACS values, while SSF2DLIR had the lowest. Using AS in STDASIR-V as the reference, 9 patients (13.04%) in SSF2DLIR and 7 patients (10.14%) in SSF2ASIR-V had a risk stratification reduced, while no change in STDDLIR.</p><p><strong>Conclusions: </strong>SSF2 and DLIR significantly reduce motion artifacts and image noise in non-contrast CACS CT, respectively. SSF2 reduces CACS values and risk stratification.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144009437","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":"Opportunistic Quantitative Computed Tomography Assessing Bone Mineral Density in Patients With Laparoscopic Roux-En-Y-Gastric Bypass Metabolic Surgery Throughout a 5-Year Observation Window.","authors":"Mark-Stefan Noser, Daniel T Boll, Ioannis I Lazaridis, Tarik Delko, Thomas Koestler, Urs Zingg, Silke Potthast","doi":"10.1097/RCT.0000000000001705","DOIUrl":"10.1097/RCT.0000000000001705","url":null,"abstract":"<p><strong>Background: </strong>Bariatric surgery is associated with decreasing bone mineral density (BMD).</p><p><strong>Objective: </strong>To assess the long-term vertebral BMD, measured by opportunistic quantitative CT (QCT), and body mass index (BMI) in patients undergoing proximal laparoscopic Roux-en-Y surgery (LRYGB).</p><p><strong>Methods: </strong>In 62 patients undergoing LRYGB, opportunistic QCT measurements were performed extracting BMD and BMI on day 1 and years 1, 3, and 5 postoperatively.Primarily, one-way analyses of variance were performed on dependent variables BMI and BMD, with imaging interval defined as an independent factor. Student-Newman-Keuls tests performed pairwise comparisons of imaging interval permutations for BMI/BMD.Secondarily, analyses of covariance were used on dependent variables BMI and BMD, with imaging interval as an independent factor and gender/age as well as BMD/BMI, respectively, as covariates.</p><p><strong>Results: </strong>A total of 227 opportunistic QCT measurements in 62 patients were performed without the need of a phantom or extra software.The BMD decreased substantially and continuously during 1-, 3-, and 5-year follow-up observations, reaching statistical significance in pairwise comparisons for 3- and 5-year follow-up visits compared to initial BMD values as well as the 5-year follow-up visit compared to the 1-year BMD values, P  < 0.001. Age and BMI were significant covariates, P  < 0.001.The BMI decreased within 1 year and stayed constant until a slight increase at 5 years was observed. Statistical significance in pairwise comparisons for first-year and 3- and 5-year follow-up visits was reached compared to initial BMI values, P  < 0.001. For the BMI assessment, none of the covariates reached statistical significance.</p><p><strong>Conclusion: </strong>Opportunistic QCT is suited for the calculation and follow-up of BMD. There was a continuous decrease of BMD after LRYGB over 5 years post-surgery, whereas BMI decreased in the first year and stayed constant thereafter. Older patients with lower BMI seem particularly prone to an accelerated BMD loss.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"385-390"},"PeriodicalIF":1.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142780220","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}