Photon-counting detector CT allows significant reduction in radiation dose while maintaining image quality and noise on non-contrast chest CT

Achala Donuru,Tetsuro Araki,Farouk Dako, Jaydev K. Dave, Raul Porto Perez, Dongming Xu,Arun C. Nachiappan,Eduardo Mortani Barbosa Jr,Peter Noel,Harold Litt, Friedrich Knollman

EUROPEAN JOURNAL OF RADIOLOGY OPEN(2023)

引用 0|浏览3
暂无评分
摘要
Purpose: To investigate if clinical non-contrast chest CT studies obtained with PCD CT using much lower radiation exposure can achieve the same image quality as with the currently established EID protocol.Materials/methods: A total of seventy-one patients were identified who had a non-contrast chest computed tomography (CT) done on PCD CT and EID CT scanners within a 4-month interval. Five fellowship trained chest radiologists, blinded to the scanner details were asked to review the cases side-by-side and record their preference for images from either the photon-counting-detector (PCD) CT or the energy-integrating detector (EID) CT scanner.Results: The median CTDIvol for PCD-CT system was 4.710 mGy and EID system was 7.80 mGy (p < 0.001). The median DLP with the PCD-CT was 182.0 mGy.cm and EID system was 262.60 mGy.cm (p < 0.001). The contrast to noise ratio (CNR) was superior on the PCD-CT system 59.2 compared to the EID-CT 53.3; (p < 0.001). Kappa statistic showed that there was poor agreement between the readers over the image quality from the PCD and EID scanners (kappa = 0.19; 95 % CI: 0.12 - 0.27; p < 0.001). Chi-square analysis revealed that 3 out of 5 readers showed a significant preference for images from the PCDCT (p <= 0.012). There was no significant difference in the preferences of two readers between EID-CT and PCD-CT images.Conclusion: The first clinical PCD-CT system allows a significant reduction in radiation exposure while maintaining image quality and image noise using a standardized non-contrast chest CT protocol.
更多
查看译文
关键词
Photon counting computed tomography,Energy integrating detectors,Virtual monoenergetic imaging
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要