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Congress: ECR24
Poster Number: C-16469
Type: EPOS Radiographer (scientific)
DOI: 10.26044/ecr2024/C-16469
Authorblock: W. He, P. Xu, R. Xu, L. Huang, S-T. Feng, X. Li; Guangzhou , People's Republic of China/CN
Disclosures:
Weitao He: Nothing to disclose
Ping Xu: Nothing to disclose
Rulin Xu: Nothing to disclose
Li Huang: Nothing to disclose
Shi-Ting Feng: Nothing to disclose
Xuehua Li: Nothing to disclose
Keywords: Artificial Intelligence, Gastrointestinal tract, Radioprotection / Radiation dose, CT-Enterography, Colonography CT, Image registration, Inflammation
Purpose Purpose and backgroud: CT is the recommended first-line imaging method for inflammatory bowel disease (IBD) patients, and CT enterography (CTE) is also the best imaging method for follow-up review of IBD patients because medical institutions lack MRE examination technology. CTE provides crucial information that cannot be obtained through standard clinical and endoscopic evaluations, including the presence, severity, and extent of IBD and its related complications. Due to the recurrent nature of IBD and the current lack of a cure, IBD...
Read more Methods and materials Materials and Methods: We prospectively enrolled 36 patients who underwent low dose CTE with HIR and DLR (mild, standard and strong) between February 2023 and September 2023. IBD Patients who underwent histologic evaluation within 2 weeks of CTE were included. The objective and subjective image quality and the imaging features were evaluated by two IBD radiologists. The histologic findings were considered as the reference standard of bowel inflammation. The radiation dose was recorded.
Read more Results Results: Compared to HIR, DLR with mild, standard and strong strengths resulted in significantly superior objective image quality (image noise, signal-to-noise ratio [SNR], contrast-to-noise ratio [CNR]), subjective image quality (image noise, contrast, sharpness), and diagnostic confidence for active bowel inflammation (all P<0.05). The sensitivity, specificity, and diagnostic accuracy for detecting active inflammation were 71.4% (75.0%, 70.0%), 83.3% (83.3%, 90.0%), and 75.0% (75.0%, 70.0%), respectively, for DLR with standard strength (DLR-mild and strong); while 43.3%, 80.0%, and 52.5.8% for HIR. The...
Read more Conclusion Conclusion: Low-dose CTE with HIR may compromise image quality and the diagnostic performance of IBD. Conversely, low-dose CTE with DLR can significantly improve image quality compared to low-dose CTE with HIR, while maintaining high diagnostic performance and allowing for substantial dose reduction.
Read more References Singh R, Digumarthy S R, Muse V V, et al. Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT[J]. AJR Am J Roentgenol, 2020,214(3):566-573. Akagi M, Nakamura Y, Higaki T, et al. Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT[J]. Eur Radiol, 2019,29(11):6163-6171. Lenfant M, Chevallier O, Comby P O, et al. Deep Learning Versus Iterative Reconstruction for CT Pulmonary Angiography in the Emergency Setting: Improved Image Quality and Reduced Radiation...
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