التفاصيل البيبلوغرافية
العنوان: |
Deep-Learning Reconstruction of High-Resolution CT Improves Interobserver Agreement for the Evaluation of Pulmonary Fibrosis |
المؤلفون: |
Hamada, Akiyoshi, Yasaka, Koichiro, Hatano, Sosuke, Kurokawa, Mariko, Inui, Shohei, Kubo, Takatoshi, Watanabe, Yusuke, Abe, Osamu |
المصدر: |
Canadian Association of Radiologists Journal ; ISSN 0846-5371 1488-2361 |
بيانات النشر: |
SAGE Publications |
سنة النشر: |
2024 |
مصطلحات موضوعية: |
Radiology, Nuclear Medicine and imaging, General Medicine |
الوصف: |
Objective: This study aimed to investigate whether deep-learning reconstruction (DLR) improves interobserver agreement in the evaluation of honeycombing for patients with interstitial lung disease (ILD) who underwent high-resolution computed tomography (CT) compared with hybrid iterative reconstruction (HIR). Methods: In this retrospective study, 35 consecutive patients suspected of ILD who underwent CT including the chest region were included. High-resolution CT images of the unilateral lung with DLR and HIR were reconstructed for the right and left lungs. A radiologist placed regions of interest on the lung and measured standard deviation of CT attenuation (i.e., quantitative image noise). In the qualitative image analyses, 5 blinded readers assessed the presence of honeycombing and reticulation, qualitative image noise, artifacts, and overall image quality using a 5-point scale (except for artifacts which was evaluated using a 3-point scale). Results: The quantitative and qualitative image noise in DLR was remarkably reduced compared to that in HIR ( P < .001). Artifacts and overall DLR quality were significantly improved compared to those of HIR ( P < .001 for 4 out of 5 readers). Interobserver agreement in the evaluations of honeycombing and reticulation for DLR (0.557 [0.450-0.693] and 0.525 [0.470-0.541], respectively) were higher than those for HIR (0.321 [0.211-0.520] and 0.470 [0.354-0.533], respectively). A statistically significant difference was found for honeycombing ( P = .014). Conclusions: DLR improved interobserver agreement in the evaluation of honeycombing in patients with ILD on CT compared to HIR. |
نوع الوثيقة: |
article in journal/newspaper |
اللغة: |
English |
DOI: |
10.1177/08465371241228468 |
الإتاحة: |
https://doi.org/10.1177/08465371241228468Test |
حقوق: |
https://journals.sagepub.com/page/policies/text-and-data-mining-licenseTest |
رقم الانضمام: |
edsbas.7D68A199 |
قاعدة البيانات: |
BASE |