{"title":"Intraindividual Comparison of Photon-Counting Versus Energy-Integrating CT of the Ophthalmic Artery.","authors":"Haijia Mao, Haijuan Wu, Xuzhong Ying, Zhenhua Zhao, Jianfeng Yang, Lv Sangying","doi":"10.1097/RCT.0000000000001796","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To conduct an intraindividual comparative analysis of ophthalmic artery imaging quality between photon-counting detector CT (PCD-CT) and energy-integrating detector CT (EID-CT), evaluating both objective and subjective assessments.</p><p><strong>Materials and methods: </strong>This retrospective study analyzed patients undergoing carotid artery imaging with both PCD-CT and EID-CT systems. Quantitative analysis involved objective measurements of vascular attenuation (Hounsfield units, HU), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) using standardized region-of-interest (ROI) placements. For qualitative assessment, 2 blinded radiologists independently evaluated subjective image quality through 5-point Likert scales.</p><p><strong>Results: </strong>The cohort [n=26; mean age 65.6±12.6 y; 16 males (61.5%)] demonstrated significantly enhanced performance with PCD-CT. Compared with EID-CT, SNR, CNR, and attenuation values from the PCD-CT system were all significantly higher than values from EID-CT (all P<0.05). Qualitative assessments revealed superior PCD-CT scores across all parameters (all P<0.0001).</p><p><strong>Conclusions: </strong>PCD-CT provides significant improvements in both objective and subjective measurements of ophthalmic artery imaging compared with EID-CT, suggesting its potential as the preferred modality for vascular visualization.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer Assisted Tomography","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/RCT.0000000000001796","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: To conduct an intraindividual comparative analysis of ophthalmic artery imaging quality between photon-counting detector CT (PCD-CT) and energy-integrating detector CT (EID-CT), evaluating both objective and subjective assessments.
Materials and methods: This retrospective study analyzed patients undergoing carotid artery imaging with both PCD-CT and EID-CT systems. Quantitative analysis involved objective measurements of vascular attenuation (Hounsfield units, HU), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) using standardized region-of-interest (ROI) placements. For qualitative assessment, 2 blinded radiologists independently evaluated subjective image quality through 5-point Likert scales.
Results: The cohort [n=26; mean age 65.6±12.6 y; 16 males (61.5%)] demonstrated significantly enhanced performance with PCD-CT. Compared with EID-CT, SNR, CNR, and attenuation values from the PCD-CT system were all significantly higher than values from EID-CT (all P<0.05). Qualitative assessments revealed superior PCD-CT scores across all parameters (all P<0.0001).
Conclusions: PCD-CT provides significant improvements in both objective and subjective measurements of ophthalmic artery imaging compared with EID-CT, suggesting its potential as the preferred modality for vascular visualization.
期刊介绍:
The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).