Journal of Computer Assisted Tomography最新文献

{"title":"Impact of Preoperative Cardiac Computed Tomography Angiography on Left Atrial Appendage Closure: A Systematic Review and Meta-Analysis.","authors":"Qian Lin, Hui Duan, Ke Li, Zhong-Yan Ma","doi":"10.1097/RCT.0000000000001793","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001793","url":null,"abstract":"<p><strong>Objective: </strong>Our aim is to evaluate the impact of preoperative cardiac CT on LAAC.</p><p><strong>Methods: </strong>This research followed the protocols outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 checklist, and it adhered to the previously described established methodologies. A search strategy was designed to utilize PubMed, EMBASE, Cochrane Library, and Web of Science for studies showing the effect of preoperative CCTA on LAAC from December 08, 2017, to June 12, 2023. For continuous outcome variables, the weighted mean difference (WMD) was used to estimate the effect size, whereas the odds ratio (OR) was used for dichotomous outcomes. We performed meta-regression to explore the heterogeneity among the included studies.</p><p><strong>Results: </strong>Eight cohort studies (including one published only as an abstract) that evaluated the impact of preoperative CCTA for LAAC were identified and included in this meta-analysis. Compared with the CCTA negative group, patients in the CCTA positive group experienced a significantly shorter LAAC procedure time (WMD: -0.69; 95% CI: -1.11 to -0.28; P=0.00; I²=95.39%). In contrast, there were no significant differences in implantation success (OR: 1.04; 95% CI: 0.98-1.11; P=0.18; I²=45.61%), contrast volume (WMD: -0.07; 95% CI: -0.28 to 0.14; P=0.51; I²=77.38%), peri-device leak (OR: 0.56; 95% CI: 0.29-1.11; P=0.10; I²=87.33%), device-related thrombus (OR: 0.70; 95% CI: 0.36-1.35; P=0.29; I²=0%), pericardial effusion requiring intervention (OR: 1.09; 95% CI: 0.95-1.25; P=0.21; I²=0%), major adverse events (OR: 0.99; 95% CI: 0.89-1.09; P=0.78; I²=0%), and all-cause mortality (OR: 0.79; 95% CI: 0.54-1.16; P= 0.23; I²=0%).</p><p><strong>Conclusions: </strong>Preoperative CCTA is associated with a shorter procedure time, but other parameters did not differ significantly between patients who underwent preoperative CCTA and those who did not.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145191732","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":"Revisiting MRI Claustrophobia: Incidence, Factors, and Interventions.","authors":"Manisha Naganatanahalli, Rachana Gurudu, Mahima Bhargava, Dheeman Futela, Nikhil H Ramaiya, Yong Chen, Sree Harsha Tirumani","doi":"10.1097/RCT.0000000000001806","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001806","url":null,"abstract":"<p><p>Claustrophobia during MRI is a well-documented challenge that affects diagnostic accuracy and patient care. Each year, nearly 2 million MRI scans are disrupted due to anxiety, thus leading to early termination of the scan, image degradation from motion, and increasing healthcare costs. This review examines the prevalence of MRI-related claustrophobia, along with the financial and operational burdens. This review also highlights the latest strategies to improve patient tolerance, which range from technological advancements, behavioral techniques and pharmacological interventions, all of which show promise in reducing scan-related distress. Ultimately, a holistic patient-centered approach is key to optimizing both imaging efficiency and the overall MRI experience.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145175690","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-based Automated Detection of Pulmonary Embolism: Is It Reliable?","authors":"Önder Babacan, Ahmet Yasin Karkaş, Görkem Durak, Emre Uysal, Ülkü Durak, Ravi Shrestha, Züleyha Bingöl, Gülfer Okumuş, Alpay Medetalibeyoğlu, Şükrü Mehmet Ertürk","doi":"10.1097/RCT.0000000000001803","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001803","url":null,"abstract":"<p><strong>Objective: </strong>To assess the diagnostic accuracy and clinical applicability of the artificial intelligence (AI) program \"Canon Automation Platform\" for the automated detection and localization of pulmonary embolisms (PEs) in chest computed tomography pulmonary angiograms (CTPAs).</p><p><strong>Methods: </strong>A total of 1474 CTPAs suspected of PEs were retrospectively evaluated by 2 senior radiology residents with 5 years of experience. The final diagnosis was verified through radiology reports by 2 thoracic radiologists with 20 and 25 years of experience, along with the patients' clinical records and histories. The images were transferred to the Canon Automation Platform, which integrates with the picture archiving and communication system (PACS), and the diagnostic success of the platform was evaluated. This study examined all anatomic levels of the pulmonary arteries, including the left pulmonary artery, right pulmonary artery, and interlobar, segmental, and subsegmental branches.</p><p><strong>Results: </strong>The confusion matrix data obtained at all anatomic levels considered in our study were as follows: AUC-ROC score of 0.945 to 0.996, accuracy of 95.4% to 99.7%, sensitivity of 81.4% to 99.1%, specificity of 98.7% to 100%, PPV of 89.1% to 100%, NPV of 95.6% to 99.9%, F1 score of 0.868 to 0.987, and Cohen Kappa of 0.842 to 0.986. Notably, sensitivity in the subsegmental branches was lower (81.4% to 84.7%) compared with more central locations, whereas specificity remained consistent (98.7% to 98.9%).</p><p><strong>Conclusions: </strong>The results showed that the chest pain package of the Canon Automation Platform accurately provides rapid automatic PE detection in chest CTPAs by leveraging deep learning algorithms to facilitate the clinical workflow. This study demonstrates that AI can provide physicians with robust diagnostic support for acute PE, particularly in hospitals without 24/7 access to radiology specialists.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145175751","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 the CAD-RADS™ 2.0 Category Assignment Performance of ChatGPT and DeepSeek Through \"Few-shot\" Prompting.","authors":"Hasan Emin Kaya","doi":"10.1097/RCT.0000000000001802","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001802","url":null,"abstract":"<p><strong>Objective: </strong>To assess whether few-shot prompting improves the performance of 2 popular large language models (LLMs) (ChatGPT o1 and DeepSeek-R1) in assigning Coronary Artery Disease Reporting and Data System (CAD-RADS™ 2.0) categories.</p><p><strong>Methods: </strong>A detailed few-shot prompt based on CAD-RADS™ 2.0 framework was developed using 20 reports from the MIMIC-IV database. Subsequently, 100 modified reports from the same database were categorized using zero-shot and few-shot prompts through the models' user interface. Model accuracy was evaluated by comparing assignments to a reference radiologist's classifications, including stenosis categories and modifiers. To assess reproducibility, 50 reports were reclassified using the same few-shot prompt. McNemar tests and Cohen kappa were used for statistical analysis.</p><p><strong>Results: </strong>Using zero-shot prompting, accuracy was low for both models (ChatGPT: 14%, DeepSeek: 8%), with correct assignments occurring almost exclusively in CAD-RADS 0 cases. Hallucinations occurred frequently (ChatGPT: 19%, DeepSeek: 54%). Few-shot prompting significantly improved accuracy to 98% for ChatGPT and 93% for DeepSeek (both P<0.001) and eliminated hallucinations. Kappa values for agreement between model-generated and radiologist-assigned classifications were 0.979 (0.950, 1.000) (P<0.001) for ChatGPT and 0.916 (0.859, 0.973) (P<0.001) for DeepSeek, indicating almost perfect agreement for both models without a significant difference between the models (P=0.180). Reproducibility analysis yielded kappa values of 0.957 (0.900, 1.000) (P<0.001) for ChatGPT and 0.873 [0.779, 0.967] (P<0.001) for DeepSeek, indicating almost perfect and strong agreement between repeated assignments, respectively, with no significant difference between the models (P=0.125).</p><p><strong>Conclusion: </strong>Few-shot prompting substantially enhances LLMs' accuracy in assigning CAD-RADS™ 2.0 categories, suggesting potential for clinical application and facilitating system adoption.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145175757","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 the Second-generation Motion Correction Algorithm on Coronary Artery Calcium Scoring.","authors":"Fuminari Tatsugami, Toru Higaki, Asako Sakahara, Yuko Nakamura, Chikako Fujioka, Toshiro Kitagawa, Kazuo Awai","doi":"10.1097/RCT.0000000000001805","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001805","url":null,"abstract":"<p><strong>Objective: </strong>The second-generation motion correction algorithm, Snapshot Freeze 2.0 (SSF2), is designed to suppress coronary artery motion in cardiac CT angiography. This study aimed to evaluate whether SSF2 improves unenhanced CT images and to compare the coronary artery calcium score (CACS) values reconstructed with and without SSF2.</p><p><strong>Methods: </strong>One hundred nineteen patients with coronary artery calcium (CACS >0) were enrolled in this study. Unenhanced CT for CACS was performed with a phase window limited to 75% of the R-R interval, using 120 kVp and automatic tube current modulation. CACS values were measured on images with and without SSF2, and absolute differences were calculated. Two radiologists assessed the overall image quality, focusing on coronary artery motion, using a 4-point scale (1=uninterpretable, 4=no motion artifacts).</p><p><strong>Results: </strong>The absolute differences in CACS for patients with heart rates of 60-95 bpm (n=85) were larger than those with heart rates of up to 59 bpm (n=21) or above 95 bpm (n=13) (median: 10.6, range: 0.1 to 171.2; median: 9.3, range: 0.8 to 31.8; median: 6.0, range: 1.6 to 43.4, respectively). In patients with heart rates of 60 to 95 bpm, SSF2 improved image quality scores (P<0.001); however, for heart rates of up to 59 bpm or above 95 bpm, the improvements were not significant (P=0.18 and 0.10, respectively).</p><p><strong>Conclusions: </strong>SSF2 reduces motion artifacts in the coronary arteries on unenhanced CT and significantly alters the CACS values. A more accurate calcification assessment is anticipated with SSF2, especially in patients with heart rates of 60 to 95 bpm.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145175740","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":"Correlation of Automated Adaptive Thresholding for Inspiratory Mosaic and Expiratory Air Trapping on Chest CT With Pulmonary Function Tests.","authors":"Scott A Helgeson, Mutlu Demirer, Vikash Gupta, Brent P Little, Barbaros S Erdal, Richard D White, Sushilkumar K Sonavane","doi":"10.1097/RCT.0000000000001798","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001798","url":null,"abstract":"<p><strong>Objective: </strong>Pulmonary air trapping is critical for diagnosing and prognostication of various lung diseases. Expiratory CT imaging serves as an accessible method to assess air trapping, which correlates with small airway disease outcomes. Air trapping manifests as mosaic attenuation on inspiratory chest CT that is difficult for visual estimation. The primary aim of this study was to develop an automated tool to quantify mosaic attenuation on inspiratory CT and air trapping on paired expiratory CT. Secondary aims included comparing CT-derived parameters with PFT measurements and dyspnea scores.</p><p><strong>Methods: </strong>This retrospective analysis of noncontrast chest CTs from 2 academic hospitals was conducted between January 1, 2018, and December 31, 2019. Patients with paired inspiratory and expiratory CT chest scans and PFTs performed on the same day were included. A chest radiologist manually annotated lung parenchyma in a reference cohort. Several histogram-based metrics were computed from lung parenchymal CT values, with the maximum peak position showing the strongest correlation with manually determined thresholds. This threshold, derived from the histogram peak, was applied in the adaptive thresholding process to quantify mosaic attenuation and air trapping.</p><p><strong>Results: </strong>We analyzed 267 patients (65.5% female, median age 68). Most exhibited normal physiological patterns (44.0%). Patients with elevated residual volume (RV) by PFTs (28.1%) had significantly higher inspiratory CT mosaic attenuation (1629.6 vs. 1311.5 mL, P<0.01) and expiratory CT air trapping volumes (1413.7 vs. 886.2 mL, P<0.01). Correlation analyses demonstrated strong relationships between CT-derived mosaic attenuation and air trapping measures and RV. The correlation with PFT parameters was even stronger in subgroup analyses in patients with obstructive PFT patterns. These models had good predictive ability for an abnormal RV (AUC of 0.92, sensitivity of 72.4%, and specificity of 92.0%) and clinical utility based on good correlation with the mMRC dyspnea score (r=0.71; 95% CI: 0.65-0.77).</p><p><strong>Conclusions: </strong>This automated adaptive thresholding on inspiratory and expiratory chest CT scans showed a high correlation of lung volume and air trapping parameters with PFTs, revealing that measures of lung function have a complex interplay with air trapping.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145069753","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":"Optimal Scanning Protocol of Whole-Brain CT Perfusion in Patients With Acute Ischemic Stroke.","authors":"Sentaro Takada, Hiroyuki Uetani, Zaw Aung Khant, Seitaro Oda, Yasunori Nagayama, Hidetaka Hayashi, Sachiko Uchiumi, Takeshi Sugahara, Masatomo Miura, Seigo Shindo, Hiroshi Murakami, Tadashi Terasaki, Toshinori Hirai","doi":"10.1097/RCT.0000000000001792","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001792","url":null,"abstract":"<p><strong>Objective: </strong>Whole-brain computed tomography perfusion (CTP) imaging is a dose-intensive imaging technique. We aimed to investigate optimal scanning protocol of the whole-brain CTP using a 320-detector row CT in reducing radiation dose for acute ischemic stroke (AIS) patients.</p><p><strong>Methods: </strong>This study included 54 consecutive AIS patients who underwent whole-brain CTP on a 320-detector row CT scanner. We evaluated the penumbra and ischemic core volumes of CTPfull, CTP3/4, and CTP1/2, created using full, 3/4 and 1/2 scanning data, respectively. Wilcoxon signed-rank test, Spearman correlation coefficient, and Bland-Altman analysis were used for the statistical analysis. In addition, hypothetical treatment decisions based on the DEFUSE-3 criteria were also evaluated to determine whether there were any differences in the treatment decisions when using reduced sampling data (CTP3/4 and CTP1/2) compared with full data to assess its clinical efficacy.</p><p><strong>Results: </strong>The penumbra and ischemic core median volumes on CTPfull, CTP3/4, and CTP1/2 were 111.5 mL [interquartile range (IQR): 52.0-173.0] and 5.5 mL (IQR: 0 to 24.0), 106.5 mL (IQR: 47.0 to 170.0) and 6.5 mL (IQR: 0 to 24.0), 106.5 mL (IQR: 48.0 to 178.0), and 5.5 mL (IQR: 0 to 23.0), respectively. There were no significant differences in penumbra (P>0.05) and ischemic core (P>0.05) volumes between CTPfull, CTP3/4, and CTP1/2. Spearman correlation analysis showed significant correlations between CTPfull and CTP3/4 and CTP1/2 for both penumbra (r=0.989 to 0.998, P<0.001) and ischemic core (r=0.997 to 0.982, P<0.001) volumes. The hypothetical treatment strategies determined using reduced sampling data (CTP3/4, and CTP1/2) were largely consistent compared with those using CTPfull.</p><p><strong>Conclusions: </strong>The use of half-scanning data for the whole-brain CTP image with a 320-detector row CT may help to lower the radiation exposure to AIS patients without significant loss of perfusion information.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145069036","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":"Rapid Diagnosis of Cauda Equina Syndrome: A Prospective Study Comparing Photon-counting CT With MRI.","authors":"Adrian Szum, Tobias Granberg, Michael Fagerlund, Carolin Lange, Pontuz Junglander, Thomas Sadus, Johan Lundberg, Mikael Skorpil","doi":"10.1097/RCT.0000000000001801","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001801","url":null,"abstract":"<p><strong>Purpose: </strong>Early diagnosis of cauda equina syndrome is essential to prevent irreversible neurological damage, but MRI can be unavailable or contraindicated. This study aimed to evaluate whether photon-counting CT (PCCT) can be a reliable alternative to reference standard MRI for diagnosing cauda equina syndrome.</p><p><strong>Methods: </strong>In this prospective study, participants with different conditions, including degenerative spinal canal stenosis, disk herniation, vertebral compression fracture, and intraspinal extradural tumor underwent PCCT and MRI between November 2022 and March 2024 at a university hospital. Three radiologists independently evaluated images for compression of cauda equina and/or spinal cord, level and cause of compression, and spinal cord visibility. Intrarater sensitivity and specificity in diagnosing compression of cauda equina and/or spinal cord on PCCT versus MRI were calculated. Pearson correlation between PCCT and MRI was assessed for dural sac areas at all lumbar disk levels. Point-biserial correlation was calculated for body mass index (BMI) versus spinal cord visibility.</p><p><strong>Results: </strong>A total of 14 participants [mean age 76±6 y (SD); 8 women] were examined. PCCT demonstrated 100% sensitivity and 60% to 83% specificity for diagnosing compression of cauda equina and/or spinal cord across 3 raters, compared with MRI. Axial area measurements showed an almost perfect correlation between modalities (r >0.9), with PCCT slightly underestimating areas in 70% of measurements. PCCT visualized the spinal cord in all participants, but in 19% of the assessments it was barely visible. No correlation was found between BMI and spinal cord visibility (P >.05).</p><p><strong>Conclusions: </strong>Photon-counting CT demonstrated its usefulness as a rapid alternative in selected patients with suspected cauda equina syndrome (excluding spinal hematomas and spondylodiscitis), when MRI is unavailable or contraindicated. There were strong correlations in spinal canal stenosis measurements with MRI, showing its potential as an alternative to MRI in nonacute conditions of the lumbar spine, such as degenerative disk disease.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145069041","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":"Interventional High Monoenergetic Spectral CT for Percutaneous Thermal Ablation Procedures.","authors":"Ahmad Parvinian, Nathan R Huber, Rebecca Hibbert, Daniel A Adamo, Juna Musa, Andrea Ferrero, Brian T Welch, Christopher P Favazza","doi":"10.1097/RCT.0000000000001786","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001786","url":null,"abstract":"<p><strong>Objective: </strong>The purpose of this study was to evaluate the potential clinical value of spectral CT for image guidance during percutaneous thermal ablation, particularly investigating high monoenergetic (MonoE) for metal artifact reduction.</p><p><strong>Materials and methods: </strong>A phantom experiment was performed in which an ablation probe was scanned in \"continuous CT\" (CCT) mode on a spectral CT scanner. ROI measurements quantified metal artifacts for conventional and MonoE CCT images. Subsequently, a retrospective reader study was conducted with 10 patient cases. Three radiologists reviewed cases to select the optimal MonoE setting and perform a Likert score rating (+2: MonoE preferred, -2: conventional preferred).</p><p><strong>Results: </strong>Phantom measurements indicated a reduction in metal artifact for high MonoE (150 keV: -46 HU) relative to conventional CCT (-122 HU). The MonoE setting preference was 151±21 keV. The mean Likert score was 1.2±0.7. Radiologists indicated a perceived benefit of high MonoE CCT when probe placement was near a critical structure.</p><p><strong>Conclusions: </strong>This study indicates a clinical preference for high MonoE CCT compared with conventional CCT. Insofar as spectral CCT can be offered at a clinically feasible time frame, our results support the assessment of 150 keV image to reduce metal artifact while maintaining satisfactory soft tissue contrast.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145069696","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":"Commentary: Is Your Department Ready to Educate Generation Z?","authors":"Devrim Ersahin","doi":"10.1097/RCT.0000000000001728","DOIUrl":"10.1097/RCT.0000000000001728","url":null,"abstract":"<p><p>It is estimated that Generation Z will outnumber the next closest generation, the Millennials (born between 1981 and 1996), by 2040.Only a small number of them are currently in residency training; however, they have already entered the workforce in other professions. Many companies have studied Generation Z and have recognized major differences compared with older generations. Medical professionals can learn from the work already done to adjust for a smooth transition to medical training and postgraduate practice.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":"685-686"},"PeriodicalIF":1.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143189222","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}