Journal of Computer Assisted Tomography最新文献

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Different Imaging Evaluating Performances Between Glymphatic System and Motor Symptoms and Levodopa Responsiveness of Parkinson Disease. 帕金森病淋巴系统、运动症状及左旋多巴反应性影像学评价的差异
IF 1 4区 医学
Journal of Computer Assisted Tomography Pub Date : 2025-07-01 Epub Date: 2025-01-27 DOI: 10.1097/RCT.0000000000001720
Jin-Huan Deng, Han-Wen Zhang, Xin-Xin Lan, Yu-Feng Liu, Xiao-Lei Liu, Hua-Zhen Deng, Si-Ping Luo, Gui-Zhi Yao, He-Lv Wu, Biao Huang, Fan Lin
{"title":"Different Imaging Evaluating Performances Between Glymphatic System and Motor Symptoms and Levodopa Responsiveness of Parkinson Disease.","authors":"Jin-Huan Deng, Han-Wen Zhang, Xin-Xin Lan, Yu-Feng Liu, Xiao-Lei Liu, Hua-Zhen Deng, Si-Ping Luo, Gui-Zhi Yao, He-Lv Wu, Biao Huang, Fan Lin","doi":"10.1097/RCT.0000000000001720","DOIUrl":"10.1097/RCT.0000000000001720","url":null,"abstract":"<p><strong>Background and purpose: </strong>Parkinson disease (PD) is defined by its unique motor symptoms, where responsiveness to levodopa (L-DOPA) is fundamental for management. Recent research has highlighted a significant relationship between PD symptoms and glymphatic dysfunction. This study endeavors to clarify the connection between glymphatic system functionality and initial motor symptoms in PD, utilizing imaging biomarkers to determine its predictive capacity for L-DOPA responsiveness (LR).</p><p><strong>Materials and methods: </strong>Retrospective study of 86 PD patients with 3.0-T MRI scans (July 2019 to March 2021), assessing the diffusion tensor image analysis along the perivascular space (DTI-ALPS) methods, enlarged perivascular spaces (ePVSs) load, and choroid plexus volume (CPV). Analyzed metrics versus the third part of the Unified Parkinson Disease Rating Scale (UPDRSIII) scores and %LR using linear regression, creating a %LR prediction model for the L-DOPA challenge. Explored relationships with age, sex, Hoehn and Yahr stage, Montreal Cognitive Assessment scores, and Mini-Mental State Examination score. Examined DTI-ALPS index, ePVSs, and CPV interrelations.</p><p><strong>Results: </strong>Pre-L-DOPA, UPDRSIII inversely correlated with DTI-ALPS index ( P =0.049), positively with bilateral basal ganglia ePVSs ( P <0.001). Age-adjusted BG-ePVSs-UPDRSIII link ( P <0.001). Post-L-DOPA, UPDRSIII correlated similarly and CPV was positive. %LR positively linked to DTI-ALPS index ( P <0.001), negatively to BG-ePVSs ( P =0.04), CPV ( P <0.001). Adjusted %LR-DTI-ALPS index positive ( P =0.005), %LR-CPV negative ( P =0.04). DTI-ALPS index, CPV predicted LCT outcomes (%LR ≥33%) with area under the curves 0.78, 0.79; accuracies 86.01%, 81.4%. The combined model area under the curve is 0.82, with an accuracy of 87.2%. Significant linear correlations were observed (CPV-DTI-ALPS, CPV-ePVSs, DTI-ALPS-ePVSs).</p><p><strong>Conclusions: </strong>A study affirms the link between glymphatic impairment, motor symptoms, and L-DOPA responses in PD. As glymphatic function declines, symptoms worsen, and L-DOPA effectiveness diminishes. The DTI-ALPS index and CPV emerge as potential predictors of PD patient LCT outcomes.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"646-655"},"PeriodicalIF":1.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143059125","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}
引用次数: 0
Spectrum of Otological Manifestations in Treacher Collins Syndrome: A Case Series of 9 Patients. 9例Treacher Collins综合征耳科表现谱分析。
IF 1 4区 医学
Journal of Computer Assisted Tomography Pub Date : 2025-07-01 Epub Date: 2025-01-27 DOI: 10.1097/RCT.0000000000001715
Shehbaz Ansari, Eric R Basappa, Peter C Markee, Chanae Dixon, Sudeep H Bhabad
{"title":"Spectrum of Otological Manifestations in Treacher Collins Syndrome: A Case Series of 9 Patients.","authors":"Shehbaz Ansari, Eric R Basappa, Peter C Markee, Chanae Dixon, Sudeep H Bhabad","doi":"10.1097/RCT.0000000000001715","DOIUrl":"10.1097/RCT.0000000000001715","url":null,"abstract":"<p><p>Treacher Collins syndrome (TCS) is an uncommon congenital disorder predominantly involving craniofacial, orbital, and otological structures. The various ear malformations seen in 9 patients with TCS are described. TCS predominantly affects the external and middle ear structures, with inner ear structures being relatively spared, not unexpected given the dual embryological origin of the human ear. The external and middle ear malformations were categorized and graded as those involving the ear pinna, external auditory canal, tympanic cavity, ossicles, facial nerve canal, oval window, and bony labyrinth for all 9 patients. The ear malformations were symmetric in the majority, and the patients with higher grades of microtia were found to have a more severe category of other otological malformations.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"662-668"},"PeriodicalIF":1.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143059140","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}
引用次数: 0
Commentary: Foreword From the Editor-in-Chief to the Guest Section on Artificial Intelligence. 评论:总编辑给人工智能客座部分的前言。
IF 1 4区 医学
Journal of Computer Assisted Tomography Pub Date : 2025-07-01 Epub Date: 2025-06-11 DOI: 10.1097/RCT.0000000000001779
Eric P Tamm
{"title":"Commentary: Foreword From the Editor-in-Chief to the Guest Section on Artificial Intelligence.","authors":"Eric P Tamm","doi":"10.1097/RCT.0000000000001779","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001779","url":null,"abstract":"","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":"49 4","pages":"519"},"PeriodicalIF":1.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144612169","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}
引用次数: 0
Commentary: The Future of Generative Artificial Intelligence in Radiology. 评论:生成式人工智能在放射学中的未来。
IF 1 4区 医学
Journal of Computer Assisted Tomography Pub Date : 2025-07-01 Epub Date: 2024-10-04 DOI: 10.1097/RCT.0000000000001667
Nikhil Madhuripan
{"title":"Commentary: The Future of Generative Artificial Intelligence in Radiology.","authors":"Nikhil Madhuripan","doi":"10.1097/RCT.0000000000001667","DOIUrl":"10.1097/RCT.0000000000001667","url":null,"abstract":"","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"554-555"},"PeriodicalIF":1.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142390920","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}
引用次数: 0
Utility of Multiparametric Breast MRI Radiomics to Predict Cyclin D1 and TGF-β1 Expression. 多参数乳腺MRI放射组学预测Cyclin D1和TGF-β1表达的应用
IF 1 4区 医学
Journal of Computer Assisted Tomography Pub Date : 2025-07-01 Epub Date: 2025-01-10 DOI: 10.1097/RCT.0000000000001717
Mengying Zheng, Jiaqi Xu, Shujie Yu, Zhenhua Zhao, Yu Zhang, Mingzhu Wei
{"title":"Utility of Multiparametric Breast MRI Radiomics to Predict Cyclin D1 and TGF-β1 Expression.","authors":"Mengying Zheng, Jiaqi Xu, Shujie Yu, Zhenhua Zhao, Yu Zhang, Mingzhu Wei","doi":"10.1097/RCT.0000000000001717","DOIUrl":"10.1097/RCT.0000000000001717","url":null,"abstract":"<p><strong>Objective: </strong>To develop a machine learning model that integrates clinical features and multisequence MRI radiomics for noninvasively predicting the expression status of prognostic-related factors cyclin D1 and TGF-β1 in breast cancer, providing additional information for the clinical development of personalized treatment plans.</p><p><strong>Methods: </strong>A total of 123 breast cancer patients confirmed by surgical pathology were retrospectively enrolled in our Hospital from January 2016 to July 2022. The patients were randomly divided into a training group (87 cases) and a validation group (36 cases). Preoperative routine and dynamic contrast-enhanced magnetic resonance imaging scans of the breast were performed for treatment subjects. The region of interest was manually outlined, and texture features were extracted using AK software. Subsequently, the LASSO algorithm was employed for dimensionality reduction and feature selection to establish the MRI radiomics labels. The diagnostic efficacy and clinical value were assessed through receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA).</p><p><strong>Results: </strong>In the cyclin D1 cohort, the area under the receiver operating characteristic (ROC) curve in the clinical prediction model training and validation groups was 0.738 and 0.656, respectively. The multisequence MRI radiomics prediction model achieved an AUC of 0.874 and 0.753 in these respective groups, while the combined prediction model yielded an AUC of 0.892 and 0.785. In the TGF-β1 cohort, the ROC AUC for the clinical prediction model was found to be 0.693 and 0.645 in the training and validation groups, respectively. For the multiseries MRI radiomics prediction model, it achieved an AUC of 0.875 and 0.760 in these respective groups; whereas for the combined prediction model, it reached an AUC of 0.904 and 0.833. Decision curve analysis (DCA) demonstrated that both cohorts indicated a higher clinical application value for the combined prediction model compared with both individual models-clinical prediction model alone or radiomics model.</p><p><strong>Conclusion: </strong>The integration of clinical features and multisequence MRI radiomics in a combined modeling approach holds significant predictive value for the expression status of cyclin D1 and TGF-β1. The model provides a noninvasive, dynamic evaluation method that provides effective guidance for clinical treatment.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"577-586"},"PeriodicalIF":1.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142965138","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}
引用次数: 0
Dynamic Contrast-enhanced MRI Processing Comparison for Distinguishing True Progression From Pseudoprogression in High-grade Glioma. 动态增强MRI处理鉴别高级别胶质瘤真进展与假进展的比较。
IF 1 4区 医学
Journal of Computer Assisted Tomography Pub Date : 2025-07-01 Epub Date: 2025-01-27 DOI: 10.1097/RCT.0000000000001716
Ahmad Amer, Shehbaz Ansari, Apollo Krayyem, Suprateek Kundu, Swapnil Khose, Halyna Pokhylevych, Susana Calle, Chirag B Patel, Zixi Yang, Ho-Ling Anthony Liu, Jason M Johnson
{"title":"Dynamic Contrast-enhanced MRI Processing Comparison for Distinguishing True Progression From Pseudoprogression in High-grade Glioma.","authors":"Ahmad Amer, Shehbaz Ansari, Apollo Krayyem, Suprateek Kundu, Swapnil Khose, Halyna Pokhylevych, Susana Calle, Chirag B Patel, Zixi Yang, Ho-Ling Anthony Liu, Jason M Johnson","doi":"10.1097/RCT.0000000000001716","DOIUrl":"10.1097/RCT.0000000000001716","url":null,"abstract":"<p><strong>Background: </strong>Treatment-related changes may occur due to radiation and temozolomide in glioblastoma and can mimic tumor progression on conventional MRI. DCE-MRI enables quantification of the extent of blood-brain barrier (BBB) disruption, providing information about areas of suspicious postcontrast T1 enhancement. We compared DCE-MRI processing methods for distinguishing true disease progression from pseudoprogression in high-grade gliomas (HGGs).</p><p><strong>Methods: </strong>We identified 110 patients with HGG treated with surgery and chemoradiation who underwent DCE-MRI to further interrogate areas of new/increasing enhancement. All patients had confirmatory surgery/biopsy with pathology-confirmed progression or pseudoprogression. Scans were performed at 3T and analyzed using nordicICE. The MCA, SSS, and Parker models are three standardized processing methodologies used to create k trans maps, a parameter that quantifies BBB permeability. Three equal regions of interest were placed at sites of peak contrast enhancement within each lesion. Data from each method was processed for mean and maximum k trans . We conducted several rounds of analysis and finalized a strategy on penalized support vector machines based on engineered features with bootstrap sampling.</p><p><strong>Results: </strong>The Parker method was significant for k trans maximum in the combined pathology and clinical as well as the pathology-only data sets. MCA and SSS did not perform well under the SVM classifier for pathology only. For clinical follow-up subjects, the Parker method yielded statistically significant results for maximum and mean k trans .</p><p><strong>Conclusions: </strong>The Parker method was effective in distinguishing PD and PsP for pathology and clinical data sets. MCA and SSS techniques were effective for the clinical data set.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"656-661"},"PeriodicalIF":1.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12237096/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143059096","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}
引用次数: 0
Diagnostic Value of the Color Doppler Ultrasound Standardized Semiquantitative Score Combined With Sound Touch Elastography in Liver Fibrosis in Patients With Chronic Hepatitis B: A Retrospective Cohort Study. 彩色多普勒超声标准化半定量评分联合声触弹性成像对慢性乙型肝炎肝纤维化的诊断价值:回顾性队列研究
IF 1 4区 医学
Journal of Computer Assisted Tomography Pub Date : 2025-07-01 Epub Date: 2024-12-30 DOI: 10.1097/RCT.0000000000001712
Yali Wu, Huiying Dai, Dan Li, Li Li, Liang Ou
{"title":"Diagnostic Value of the Color Doppler Ultrasound Standardized Semiquantitative Score Combined With Sound Touch Elastography in Liver Fibrosis in Patients With Chronic Hepatitis B: A Retrospective Cohort Study.","authors":"Yali Wu, Huiying Dai, Dan Li, Li Li, Liang Ou","doi":"10.1097/RCT.0000000000001712","DOIUrl":"10.1097/RCT.0000000000001712","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to evaluate the diagnostic value of standardized semiquantitative scoring of color Doppler ultrasound combined with liver stiffness measurement (LSM) of sound touch elastography (STE) in chronic hepatitis B (CHB) patients, providing a reference for the liver fibrosis diagnosis.</p><p><strong>Methods: </strong>We performed ultrasound and STE on CHB patients, with liver biopsies as the benchmark. We compared the differences in ultrasound standardized semiquantitative scoring and LSM among patients with different stages of liver fibrosis, and evaluated the diagnostic efficacy of significant liver fibrosis using receiver operating characteristic (ROC) curves and the area under the ROC curve alone or in combination.</p><p><strong>Results: </strong>The total scores of ultrasound semiquantitative scoring and LSM showed statistically significant differences among patients with different stages of liver fibrosis ( P  < 0.05). There was no statistically significant difference in the total scores of S0 and S1 stages or in the LSM values ( P  > 0.05). However, the total scores and LSM values for patients at stages S2 and S3 were both higher than those at stage S0, and increased with the severity of fibrosis staging, with statistically significant differences ( P  < 0.05). The results of the ROC curve analysis showed that the combined diagnosis of significant liver fibrosis with ultrasound standardized semiquantitative scoring and STE had an area under the curve of 0.807, which was significantly greater than using ultrasound standardized semiquantitative scoring (0.694, P  < 0.05) or shear wave elastography alone (0.706, P  < 0.05).</p><p><strong>Conclusions: </strong>Color Doppler ultrasound with standardized semiquantitative scoring combined with STE examination can detect significant liver fibrosis (≥S2) in CHB patients.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"563-570"},"PeriodicalIF":1.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142949475","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}
引用次数: 0
Assessment of a New CT Detector and Filtration Technology: Part 2-Image Quality in Phantoms, Cadavers, and Patients. 一种新的CT检测器和过滤技术的评估:第2部分:幽灵、尸体和病人的图像质量。
IF 1 4区 医学
Journal of Computer Assisted Tomography Pub Date : 2025-07-01 Epub Date: 2025-01-28 DOI: 10.1097/RCT.0000000000001711
Izabella Barreto, Graham Stoddard, Anahita Heshmat, Tara Massini, Ibrahim Tuna, Lynn Rill, Manuel Arreola
{"title":"Assessment of a New CT Detector and Filtration Technology: Part 2-Image Quality in Phantoms, Cadavers, and Patients.","authors":"Izabella Barreto, Graham Stoddard, Anahita Heshmat, Tara Massini, Ibrahim Tuna, Lynn Rill, Manuel Arreola","doi":"10.1097/RCT.0000000000001711","DOIUrl":"10.1097/RCT.0000000000001711","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this work was to evaluate the image quality of a commercial CT scanner equipped with a novel detector and filtration technology called PureVision Optics (PVO).</p><p><strong>Methods: </strong>CT number, noise, contrast-to-noise ratio (CNR), modulation transfer function (MTF), and noise power spectrum (NPS) were assessed using the ACR CT Accreditation phantom scanned with various acquisitions at 80 kV, 100 kV, 120 kV, and 135 kV, each with multiple CTDI vol values of 20 mGy, 40 mGy, and 65 mGy. Artifacts were evaluated in an anthropomorphic head phantom, a cadaver head, and in patient studies. Two neuroradiologists assessed image quality features in various patients who were examined with unenhanced brain CT on both scanners.</p><p><strong>Results: </strong>Compared with the conventional scanner, for the same CTDI vol , the PVO scanner produced 20.3% less image noise ( P  < 0.001), 18.9% higher CNR ( P  < 0.01), and 24.6% higher spatial resolution ( P  < 0.001). Streak artifacts were less severe with the PVO scanner for the phantom, cadaver, and patient scans ( P  < 0.05). Radiologists scored the PVO scanner as significantly better for visualization of the cerebrospinal fluid space over the cerebral sulci in high convexity, image noise in gray and white matter, and artifacts in the posterior fossa. They also significantly preferred the PVO scanner for visualization of the border between brain gray and white matter, cerebrospinal fluid space around the mesencephalon, and overall diagnostic acceptability.</p><p><strong>Conclusions: </strong>For matched CTDI vol values, the scanner equipped with PVO technology produced better objective and subjective image quality metrics in brain CT imaging compared with a conventional CT scanner without PVO. In clinical settings, PVO may allow for lower doses while enhancing imaging through dense areas, improving visualization of subtle details, and offering more effective options for examining obese patients.This research received financial support from Canon Medical Systems USA. The study design and data were fully controlled by the coauthors, of which none are employees or consultants of Canon Medical Systems USA.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"631-639"},"PeriodicalIF":1.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143059121","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}
引用次数: 0
3D Segmentation of Whole Lung and Metastatic Lung Nodules Using Adaptive Region Growing and Shape-based Morphology. 利用自适应区域生长和基于形状的形态学对全肺和转移性肺结节进行三维分割。
IF 1 4区 医学
Journal of Computer Assisted Tomography Pub Date : 2025-07-01 Epub Date: 2025-01-27 DOI: 10.1097/RCT.0000000000001719
Esha Baidya Kayal, Shuvadeep Ganguly, Archana Sasi, D S Dheeksha, Manish Saini, Swetambri Sharma, Shivansh Gupta, Nikhil Sharma, Krithika Rangarajan, Sameer Bakhshi, Devasenathipathy Kandasamy, Amit Mehndiratta
{"title":"3D Segmentation of Whole Lung and Metastatic Lung Nodules Using Adaptive Region Growing and Shape-based Morphology.","authors":"Esha Baidya Kayal, Shuvadeep Ganguly, Archana Sasi, D S Dheeksha, Manish Saini, Swetambri Sharma, Shivansh Gupta, Nikhil Sharma, Krithika Rangarajan, Sameer Bakhshi, Devasenathipathy Kandasamy, Amit Mehndiratta","doi":"10.1097/RCT.0000000000001719","DOIUrl":"10.1097/RCT.0000000000001719","url":null,"abstract":"<p><strong>Objective: </strong>Early diagnosis of primary and metastatic lung nodules is critical for effective therapeutic planning. Manual delineation of lung nodules is not time-efficient and is prone to human error as well as interobserver and intraobserver variability. This study aimed to address the unmet need for an open-source computer-aided detection (CAD) system for 3D segmentation of lung and metastatic lung nodules along with radiomic feature extraction.</p><p><strong>Methods: </strong>The proposed adaptive region-growing-based lung nodule segmentation (RGLNS) tool was developed in-house, requiring only manual input to select a seed point within the nodule on computed tomography (CT) images. A total of 230 CT scans from 100 patients with sarcomas were screened. Lung nodules were present in 200 CT scans, which were further analyzed. The accuracy of the lung and nodule segmentation was evaluated qualitatively using a 5-point Likert scale (uninterpretable: 1; poor: 2; fair: 3; good: 4; excellent: 5) and quantitatively using the Dice coefficient and Jaccard index.</p><p><strong>Results: </strong>A total of 200 CT scans comprising 12,000 CT slices were analyzed, among which 786 lung nodules were identified. Quantitative lung segmentation accuracies (n=2400 slices) yielded a Dice coefficient of 0.92±0.06 and a Jaccard index of 0.85±0.05. Qualitative scores (n=9600 slices) for lung boundary correction (4.56±1.18) and inclusion of pulmonary vessels (4.75±0.72) were rated as good to excellent. Quantitative nodule segmentation (n=142 nodules) accuracies were as follows: dice coefficient=0.92±0.03, 0.88±0.04, 0.86±0.03, 0.85±0.03, 084±0.04 and Jaccard index=0.84±0.03, 0.81±0.04, 0.78±0.04, 0.78±0.02, 0.76±0.04 for solitary (n=73), juxtapleural (n=32), juxtavascular (n=28), fissure-attached (n=6), and ground-glass (n=6) nodules, respectively. Qualitative scores (n=644 nodules) for nodule-boundary were good to excellent [solitary (n=342): 4.97±0.15; juxtapleural (n=155): 4.45±0.60; juxtavascular (n=127): 4.40±0.65; fissure-attached (n=9): 4.40±0.70; ground-glass (n=11): 4.25±0.75] and for exclusion of pulmonary vessels/pleura from nodules were good [juxtapleural (n=155): 4.10±0.66; juxtavascular (n=127): 4.08±0.64; fissure-attached (n=9): 4.30±0.67].</p><p><strong>Conclusions: </strong>The proposed semiautomated CAD system, RGLNS, requiring minimal manual input, demonstrated robust, and promising segmentation results for the whole lung and various types of metastatic lung nodules.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"611-624"},"PeriodicalIF":1.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143059328","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}
引用次数: 0
The Clinical Value of the MAR + Metal Artifact Reduction Algorithm for Postoperative Assessment of Lumbar Internal Fixation. MAR+金属伪影复位算法在腰椎内固定术后评估中的临床价值。
IF 1 4区 医学
Journal of Computer Assisted Tomography Pub Date : 2025-07-01 Epub Date: 2025-01-27 DOI: 10.1097/RCT.0000000000001724
Jiayi Fang, Fei Yu, Bin Yang, Guan Wang, Guangyan Si
{"title":"The Clinical Value of the MAR + Metal Artifact Reduction Algorithm for Postoperative Assessment of Lumbar Internal Fixation.","authors":"Jiayi Fang, Fei Yu, Bin Yang, Guan Wang, Guangyan Si","doi":"10.1097/RCT.0000000000001724","DOIUrl":"10.1097/RCT.0000000000001724","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;With the widespread use of lumbar pedicle screws for internal fixation, the morphology of the screws and the surrounding tissues should be evaluated. The metal artifact reduction (MAR) technique can reduce the artifacts caused by pedicle screws, improve the quality of computed tomography (CT) images after pedicle fixation, and provide more imaging information to the clinic.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Purpose: &lt;/strong&gt;To explore whether the MAR + method, a projection-based algorithm for correcting metal artifacts through multiple iterative operations, can reduce metal artifacts and have an impact on the structure of the surrounding metal.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Materials and methods: &lt;/strong&gt;A total of 57 patients who underwent lumbar spine CT examination after lumbar internal fixation from January to December 2023 in our hospital were retrospectively enrolled. The CT images were reconstructed using MAR + and non-MAR + techniques and were subdivided into MAR + and non-MAR + groups. The CT number (in Hounsfield units) and the SD noise values of the spinal canal, vertebral body, psoas major muscle, and adjacent fat were measured in the 2 groups of CT images, and the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. The subjective score was evaluated by two diagnostic radiologists using a double-blind method for image quality evaluation of the MAR + group and the non-MAR + group, and the image quality was classified on a 5-point scale. The rank-sum test was utilized to compare the subjective and objective scores of the 2 groups.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The SD values of the spinal canal ( Z =-4.12, P &lt;0.01), vertebral body ( Z =-3.81, P &lt;0.01), and psoas major muscle ( Z =-3.87, P &lt;0.01) in the MAR + group were significantly lower than those in the non-MAR + group ( P &lt;0.05). However, the SD values of the adjacent fat ( Z =-2.03, P =0.42) in the MAR + group, although smaller than those in the non-MAR + group, were not statistically significant. The CNR values of vertebral canal ( Z =-2.67, P =0.008) and fat ( Z =-2.60, P =0.009) were higher in the MAR + group than in the non-MAR + group, whereas the CNR values of the vertebral body ( Z =-6.74, P &lt;0.01) in the MAR + group were smaller than those in the non-MAR + group, and the difference of all of them was statistically significant ( P &lt;0.05). Furthermore, for both CT and SNR values, the MAR group's values were all less than those of the non-MAR group and were statistically significant ( P &lt;0.05). The subjective scores of the measurement points were all higher in the MAR + group than in the non-MAR + group.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The MAR + technique has a noise reduction effect on different tissues and artifacts are significantly reduced. Although the artifacts caused by metal screws were not completely eliminated, the MAR + technique was able to reduce the interference of artifacts in the diagnosis of CT images, thus improving their diagnos","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"675-681"},"PeriodicalIF":1.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12237113/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143059142","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}
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