Journal of Computer Assisted Tomography最新文献

{"title":"Musculoskeletal Myeloid Sarcoma: Clinical, Imaging, Management, and Outcomes in 41 Adult Patients.","authors":"Rajendra Kumar, Sinchun Hwang, Mathew Antony, Raul F P Valenzuela, Meena Kumar","doi":"10.1097/RCT.0000000000001788","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001788","url":null,"abstract":"<p><strong>Objective: </strong>To analyze symptoms, imaging features, management, and outcomes of musculoskeletal myeloid sarcoma in adult leukemic patients.</p><p><strong>Materials and methods: </strong>This is a retrospective analysis of clinical symptoms, imaging features, management, and outcomes in 41 adult leukemic patients with biopsy-proven myeloid sarcomas of bones and muscles.</p><p><strong>Results: </strong>Nineteen patients had acute, and 15 had chronic myeloid leukemia. Additional 5 previously treated leukemia patients included 1 with chronic myeloid leukemia, 3 with myelofibrosis, and 1 with myelodysplastic syndrome. The remaining 2 patients had isolated myeloid sarcoma with normal marrow without a history of hematologic disorder. Twenty-nine patients had bone tumors only, 3 muscle tumors only, 8 both bone and soft tissue tumors, and 1 intraarticular synovial tumor of an ankle. Of the 71 focal bone tumors, 68 were lytic and 3 were sclerotic. In addition, diffuse sclerotic bone lesions were present in 1 patient, and diffuse mixed lytic/sclerotic bone lesions in 2 patients. Most tumors were asymptomatic and were discovered incidentally on imaging. Local pain, mass, and pathologic fractures were the most common complaints when present. Vertebral bone and paravertebral soft tissue tumors caused neurological symptoms. Muscle tumors became symptomatic when they involved adjoining bone, nerve, or spinal cord. Only 3 among 13 muscle tumors presented as palpable masses. The imaging features of these musculoskeletal tumors were nonspecific. On MRI, both muscle and lytic bone MSs were hypo-to-iso-intense on T1WI, hyperintense on fat-suppressed T2WI, and enhanced on post-contrast fat-suppressed T1WI. A synovial myeloid sarcoma of the ankle showed diffusely thickened synovium on MRI. F-18 FDG PET-CT was helpful in the detection, monitoring of treatment response, and post-treatment surveillance in 5 patients. All patients were treated with cytarabine-based systemic anti-leukemic treatment and optional radiation, surgical resection, bone marrow transplant, and/or a combination of these. The known mean survival time of 35 dead patients after the appearance of musculoskeletal MS was 12.1 months.</p><p><strong>Conclusions: </strong>Musculoskeletal myeloid sarcoma, which can occasionally precede it, is a rare complication of AML. Most tumors are asymptomatic. Imaging, particularly MRI and 18-F FDG PET-CT, plays a crucial role in detecting and monitoring treatment response, as well as post-treatment surveillance. The disease has poor clinical outcomes and short-term survival.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144775495","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":"Something to Chew On: Neuroimaging Findings of Pediatric Masticator Space Pathologies.","authors":"Alexandra M Foust, Caroline D Robson, Michael Hornick, Elton B Greene, Dann Martin, Michael Wien, Sumit Pruthi, Asha Sarma","doi":"10.1097/RCT.0000000000001787","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001787","url":null,"abstract":"<p><p>Diseases involving the pediatric masticator space often vary from those encountered in adults, with congenital abnormalities encountered more commonly and the assortment of benign and malignant neoplasms encountered differing in type and frequency. Familiarity with the imaging findings for these diseases is important for timely and accurate diagnosis and management. This article briefly reviews masticator space anatomy and provides detailed description of the imaging findings associated with benign and malignant diseases that may be encountered in the pediatric masticator space.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144742226","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":"Minimal Ablative Margin Quantification Using Hepatic Arterial Versus Portal Venous Phase CT for Colorectal Metastases Segmentation: A Dual-center, Retrospective Analysis.","authors":"Noreen S Siddiqi, Yuan-Mao Lin, Jessica Albuquerque Marques Silva, Gregor Laimer, Peter Schullian, Yannick Scharll, Alexandra M Dunker, Caleb S O'Connor, Kyle A Jones, Kristy K Brock, Reto Bale, Bruno C Odisio, Iwan Paolucci","doi":"10.1097/RCT.0000000000001782","DOIUrl":"10.1097/RCT.0000000000001782","url":null,"abstract":"<p><strong>Objective: </strong>To compare the predictive value of minimal ablative margin (MAM) quantification using tumor segmentation on intraprocedural contrast-enhanced hepatic arterial (HAP) versus portal venous phase (PVP) CT on local outcomes following percutaneous thermal ablation of colorectal liver metastases (CRLM).</p><p><strong>Methods: </strong>This dual-center retrospective study included patients undergoing thermal ablation of CRLM with intraprocedural preablation and postablation contrast-enhanced CT imaging between 2009 and 2021. Tumors were segmented in both HAP and PVP CT phases using an artificial intelligence-based auto-segmentation model and reviewed by a trained radiologist. The MAM was quantified using a biomechanical deformable image registration process. The area under the receiver operating characteristic curve (AUROC) was used to compare the prognostic value for predicting local tumor progression (LTP).</p><p><strong>Results: </strong>Among 81 patients (60 y±13, 53 men), 151 CRLMs were included. During 29.4 months of median follow-up, LTP was noted in 24/151 (15.9%). Median tumor volumes on HAP and PVP CT were 1.7 mL and 1.2 mL, respectively, with respective median MAMs of 2.3 and 4.0 mm (both P< 0.001). The AUROC for 1-year LTP prediction was 0.78 (95% CI: 0.70-0.85) on HAP and 0.84 (95% CI: 0.78-0.91) on PVP (P= 0.002).</p><p><strong>Conclusions: </strong>During CT-guided percutaneous thermal ablation, MAM measured based on tumors segmented on PVP images conferred a higher predictive accuracy of ablation outcomes among CRLM patients than those segmented on HAP images, supporting the use of PVP rather than HAP images for segmentation during ablation of CRLMs.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12404250/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144707647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MRI Versus CT in Planning Primary Debulking Surgery for Epithelial Ovarian Cancer.","authors":"Yang Wang, Qingling Yang, Jingliang Zhang, Ye Han, Jun Shu, Shujuan Liu, Yi Huan, Jing Ren","doi":"10.1097/RCT.0000000000001783","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001783","url":null,"abstract":"<p><strong>Objective: </strong>To assess the performance of whole-abdomen diffusion-weighted imaging (DWI) combined with conventional MRI compared with CT in preoperative planning of the primary debulking surgery (PDS) in epithelial ovarian cancer (EOC) patients.</p><p><strong>Methods: </strong>Fifty-seven patients with EOC who underwent preoperative whole-abdomen MRI and CT were recruited for this study. During a multidisciplinary treatment (MDT) discussion, anatomical sites were allocated to specialized surgeons and the surgical plan, including assistant and backup surgeons, was finalized. According to the surgical records and pathological diagnoses, the χ2 test was used to compare the consistency rates of CT and MRI for planning PDS. Diagnostic efficiencies of MRI and CT for planning PDS were compared using a 2-tailed McNemar test.</p><p><strong>Results: </strong>For the hepatobiliary sites, MRI demonstrated significantly higher sensitivity (0.947 vs. 0.632, P=0.022), specificity (0.842 vs. 0.684, P=0.039), and accuracy (0.912 vs. 0.649, P=0.041) than CT. For gastrointestinal sites, MRI showed a significantly higher sensitivity (0.750 vs. 0.450, P=0.021), specificity (0.941 vs. 0.882, P=0.031), and accuracy (0.807 vs. 0.579, P=0.027) than CT. No significant differences in sensitivity (0.769 vs. 0.385, P=0.289), specificity (0.909 vs. 0.909, P=0.453), or accuracy (0.877 vs. 0.789, P=0.227) were found between MRI and CT for the urological sites. In addition, MRI demonstrated a significantly higher consistency rate with the surgical plans and records (0.667 vs. 0.281, P<0.001) than CT.</p><p><strong>Conclusions: </strong>MRI offers superior diagnostic efficiency over CT for evaluating sites relevant to hepatobiliary and gastrointestinal surgeons, enhancing the accuracy of surgical planning and potentially becoming the preferred imaging modality for preoperative PDS planning.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144698687","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":"Association of Image-Defined Risk Factors With 18F-FDG PET/CT Metabolic Metrics in Neuroblastoma: Location-Specific Correlations and Comparative Prognostic Significance.","authors":"Haoru Wang, Li Lu, Xiaoming Yang, Ling He, Xin Chen","doi":"10.1097/RCT.0000000000001785","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001785","url":null,"abstract":"<p><strong>Objective: </strong>Anatomic image-defined risk factors (IDRFs) and metabolic metrics from PET/CT imaging can evaluate tumor biology and guide clinical decision-making in neuroblastoma. This study explored the association between IDRFs and 18F-FDG PET/CT metabolic metrics in neuroblastoma and compared their prognostic value.</p><p><strong>Methods: </strong>A retrospective analysis was conducted on 24 neuroblastoma patients who underwent pretreatment CECT and 18F-FDG PET/CT imaging. IDRF counts were determined from CECT, while PET/CT metabolic metrics, including maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG), were measured. The Spearman correlation analysis assessed associations between IDRF counts and PET/CT metabolic metrics. Survival analysis evaluated the prognostic significance of IDRF counts and PET/CT metabolic metrics.</p><p><strong>Results: </strong>IDRF counts were positively correlated with SUVmean (r=0.431, P=0.036), MTV (r=0.679, P<0.001), and TLG (r=0.771, P<0.001), but no significant correlation was observed with SUVmax (r=0.325, P=0.121). Subgroup analysis revealed IDRF counts correlated with MTV (r=0.718, P=0.001) and TLG (r=0.683, P=0.002) in abdominopelvic lesions, and with SUVmax (r=0.808, P=0.028), SUVmean (r=0.875, P=0.010), and TLG (r=0.788, P=0.035) in cervicothoracic lesions. Neither IDRF counts nor PET/CT metabolic metrics were significantly associated with overall survival (P>0.05).</p><p><strong>Conclusion: </strong>IDRF counts are significantly associated with 18F-FDG PET/CT metabolic metrics in neuroblastoma, with distinct correlation patterns based on lesion location.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144698686","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-Based Preoperative Contrast Enhanced CT Histogram Analysis and Shape Feature Extraction in Laryngeal Squamous Cell Carcinoma: Correlation with Histopathological Parameters.","authors":"Ece Ates Kus, Abdullah Soydan Mahmutoglu, Emine Meltem, Ipek Sel, Yesim Karagoz","doi":"10.1097/RCT.0000000000001781","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001781","url":null,"abstract":"<p><strong>Aim: </strong>This study aims to investigate whether preoperative contrast-enhanced laryngeal CT-derived histogram parameters and shape features can correlate with cervical lymph node metastasis, tumor differentiation (grade), lymphovascular invasion, and perineural invasion in laryngeal squamous cell carcinoma (LSCC).</p><p><strong>Materials and methods: </strong>Ninety-one patients who underwent laryngectomy and simultaneous cervical lymph node dissection at our hospital between 2015 and 2021, with LSCC as the final pathological outcome, were included. Two radiologists independently performed segmentation using 3D Slicer Software, drawing regions of interest (ROIs) from the widest axial section of each tumor and volumes of interest (VOIs) to cover the entire visualizable tumor. Histogram parameters and shape features were extracted for each segmentation. Cut-off values were calculated, and intraclass correlation was used to measure interobserver agreement.</p><p><strong>Results: </strong>ROI measurements showed significant differences only for lymphovascular invasion. VOI measurements revealed significant differences between lymphovascular and perineural invasion and cervical lymph node metastasis. Key parameters included entropy, mean absolute deviation, and uniformity. No significant differences were found for tumor grade. VOI-based measurements outperformed ROI-based measurements in terms of reproducibility and diagnostic breadth, showing higher intraclass correlation values and more significant associations with pathological features.</p><p><strong>Conclusion: </strong>Preoperative contrast-enhanced CT histogram parameters and shape features may be useful in evaluating tumor characteristics in LSCC.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144698688","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":"Novel Edge-on-irradiated Si-based Photon-counting Detector CT for the Characterization of Cystic Renal Lesions.","authors":"Fides R Schwartz, Zhye Yin, Xue Rui, Steve Bache, Ehsan Samei, Grant M Stevens, Aria M Salyapongse, Timothy P Szczykutowicz, Daniele Marin","doi":"10.1097/RCT.0000000000001773","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001773","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate an edge-on-irradiated silicon-based photon-counting detector CT (Deep Si-PCD-CT) prototype for quantification of iodine concentration and stability of HU values, as well as detectability of subtle features in simulated kidney parenchyma.</p><p><strong>Materials and methods: </strong>A phantom, simulating moderately and strongly enhancing kidney parenchyma (at 180 and 240 HU) inside a small, medium, and large patient (23, 30, 37 cm diameter, respectively), was scanned on a Deep Si-PCD-CT. Centered in the kidney parenchyma was a water-equivalent rod at 0 HU and a rod of 0.8 mg/mL iodine concentration to simulate a benign, mildly enhancing cystic renal lesion, as well as a rod with a 2 mm septum and 5 mm mural nodule. Accuracy and stability of HU values were evaluated with repeated ROI measurements across consecutive slices, while the septum and nodule were identified on standard polychromatic clinical images and iodine maps. Images were reconstructed with a soft tissue kernel at 0.417- and 0.625-mm slice-thickness without additional denoising.</p><p><strong>Results: </strong>Deep Si-PCD-CT produced accurate HU value measurements for water, intralesional iodine content, and renal parenchymal enhancement. The HU values were similarly variable from the ground truth values as compared with measurements from a commercial energy-integrating detector CT. The nodule and septum inside the phantom were successfully identified using the new Deep Si-PCD-CT prototype, while they were difficult to identify using the standard EID-CT at clinical window-level settings. The iodine maps created from the photon-counting detector CT displayed both the nodule and the septum well, facilitating quick identification.</p><p><strong>Conclusions: </strong>Deep Si-PCD-CT is a promising tool for the accurate measurement of HU values, as well as the detection of subtle features of complexity in cystic renal lesions. It has the potential to improve the diagnosis and management of cystic renal lesions.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540403","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":"Heterogeneity Habitats -Derived Radiomics of Gd-EOB-DTPA Enhanced MRI for Predicting Proliferation of Hepatocellular Carcinoma.","authors":"Shifang Sun, Yixing Yu, Shungen Xiao, Qi He, Zhen Jiang, Yanfen Fan","doi":"10.1097/RCT.0000000000001769","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001769","url":null,"abstract":"<p><strong>Objective: </strong>To construct and validate the optimal model for preoperative prediction of proliferative HCC based on habitat-derived radiomics features of Gd-EOB-DTPA-Enhanced MRI.</p><p><strong>Methods: </strong>A total of 187 patients who underwent Gd-EOB-DTPA-enhanced MRI before curative partial hepatectomy were divided into training (n=130, 50 proliferative and 80 nonproliferative HCC) and validation cohort (n=57, 25 proliferative and 32 nonproliferative HCC). Habitat subregion generation was performed using the Gaussian Mixture Model (GMM) clustering method to cluster all pixels to identify similar subregions within the tumor. Radiomic features were extracted from each tumor subregion in the arterial phase (AP) and hepatobiliary phase (HBP). Independent sample t tests, Pearson correlation coefficient, and Least Absolute Shrinkage and Selection Operator (LASSO) algorithm were performed to select the optimal features of subregions. After feature integration and selection, machine-learning classification models using the sci-kit-learn library were constructed. Receiver Operating Characteristic (ROC) curves and the DeLong test were performed to compare the identified performance for predicting proliferative HCC among these models.</p><p><strong>Results: </strong>The optimal number of clusters was determined to be 3 based on the Silhouette coefficient. 20, 12, and 23 features were retained from the AP, HBP, and the combined AP and HBP habitat (subregions 1, 2, 3) radiomics features. Three models were constructed with these selected features in AP, HBP, and the combined AP and HBP habitat radiomics features. The ROC analysis and DeLong test show that the Naive Bayes model of AP and HBP habitat radiomics (AP-HBP-Hab-Rad) archived the best performance. Finally, the combined model using the Light Gradient Boosting Machine (LightGBM) algorithm, incorporating the AP-HBP-Hab-Rad, age, and AFP (Alpha-Fetoprotein), was identified as the optimal model for predicting proliferative HCC. For the training and validation cohort, the accuracy, sensitivity, specificity, and AUC were 0.923, 0.880, 0.950, 0.966 (95% CI: 0.937-0.994) and 0.825, 0.680, 0.937, 0.877 (95% CI: 0.786-0.969), respectively. In its validation cohort of the combined model, the AUC value was statistically higher than the other models (P<0.01).</p><p><strong>Conclusions: </strong>A combined model, including AP-HBP-Hab-Rad, serum AFP, and age using the LightGBM algorithm, can satisfactorily predict proliferative HCC preoperatively.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540386","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 Plaque Characteristics/Pericoronary Fat Attenuation Index and Acute Coronary Syndrome in Patients With Stable Angina Pectoris.","authors":"Defu Li, Yujin Wang, Tingting Zhu","doi":"10.1097/RCT.0000000000001718","DOIUrl":"10.1097/RCT.0000000000001718","url":null,"abstract":"<p><strong>Objective: </strong>Vascular inflammation affects acute coronary syndrome (ACS) occurrence in patients with stable angina. Coronary inflammation can be represented by the pericoronary fat attenuation index (FAI).This study investigated the quantitative prognostic value of plaque characteristics and FAI in patients with stable angina.</p><p><strong>Methods: </strong>Risk factors for ACS occurrence in patients with stable angina pectoris were retrospectively analyzed. The diagnostic value of FAI and plaque characteristics for ACS occurrence in these patients were determined; Kaplan-Meier curves were used to predict ACS event incidence.</p><p><strong>Results: </strong>After postpropensity score matching, data of 60 and 130 patients with and without ACS, respectively, were analyzed. Pericoronary FAI, lipid volume, and lipid percentage in the narrowest segment significantly improved ACS diagnosis in patients with stable angina. Luminal stenosis ≥50% and FAI >-88 Hounsfield units (HU) were independent risk factors for ACS occurrence in patients with stable angina. Perileft anterior descending artery (LAD) FAI >-88 HU better predicted ACS occurrence in patients with stable angina than did peri-LAD FAI ≤-88 HU.</p><p><strong>Conclusions: </strong>In patients with stable angina, lipid volume and percentage and pericoronary FAI improved the diagnostic ability of luminal stenosis for ACS occurrence. Furthermore, peri-LAD FAI >-88 HU could predict ACS occurrence.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"587-594"},"PeriodicalIF":1.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143059103","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":"Artificial Intelligence in Computed Tomography Image Reconstruction: A Review of Recent Advances.","authors":"Ran Zhang, Timothy P Szczykutowicz, Giuseppe V Toia","doi":"10.1097/RCT.0000000000001734","DOIUrl":"10.1097/RCT.0000000000001734","url":null,"abstract":"<p><p>The development of novel image reconstruction algorithms has been pivotal in enhancing image quality and reducing radiation dose in computed tomography (CT) imaging. Traditional techniques like filtered back projection perform well under ideal conditions but fail to generate high-quality images under low-dose, sparse-view, and limited-angle conditions. Iterative reconstruction methods improve upon filtered back projection by incorporating system models and assumptions about the patient, yet they can suffer from patchy image textures. The emergence of artificial intelligence (AI), particularly deep learning, has further advanced CT reconstruction. AI techniques have demonstrated great potential in reducing radiation dose while preserving image quality and noise texture. Moreover, AI has exhibited unprecedented performance in addressing challenging CT reconstruction problems, including low-dose CT, sparse-view CT, limited-angle CT, and interior tomography. This review focuses on the latest advances in AI-based CT reconstruction under these challenging conditions.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"521-530"},"PeriodicalIF":1.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143501540","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}