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深度学习 CT 重建对肝脏低衰减病变的检出能力:一项体模和患者研究。

Detectability of Hypoattenuating Liver Lesions with Deep Learning CT Reconstruction: A Phantom and Patient Study.

机构信息

From the Department of Radiology, Division of Abdominal Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA 02114-2696 (J.C., N. Mroueh, N. Mercaldo, S.L., S.K., S.S.R., N.P., V.B., T.T.P., M.A.A., M.S., A.S.S.B., A.R.K.); Institute for Diagnostic and Interventional Radiology, Faculty of Medicine, University Cologne, University Hospital Cologne, Cologne, Germany (S.L.); and Department of Radiology, Faculty of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Chulalongkorn University, Bangkok, Thailand (S.K., N.P.).

出版信息

Radiology. 2024 Oct;313(1):e232749. doi: 10.1148/radiol.232749.

Abstract

Background CT deep learning image reconstruction (DLIR) improves image quality by reducing noise compared with adaptive statistical iterative reconstruction-V (ASIR-V). However, objective assessment of low-contrast lesion detectability is lacking. Purpose To investigate low-contrast detectability of hypoattenuating liver lesions on CT scans reconstructed with DLIR compared with CT scans reconstructed with ASIR-V in a patient and a phantom study. Materials and Methods This single-center retrospective study included patients undergoing portal venous phase abdominal CT between February and May 2021 and a low-contrast-resolution phantom scanned with the same protocol. Four reconstructions (ASIR-V at 40% strength [ASIR-V 40] and DLIR at three strengths) were generated. Five radiologists qualitatively assessed the images using the five-point Likert scale for image quality, lesion diagnostic confidence, conspicuity, and small lesion (≤1 cm) visibility. Up to two key lesions per patient, confirmed at histopathologic testing or at prior or follow-up imaging studies, were included. Lesion-to-background contrast-to-noise ratio was calculated. Interreader variability was analyzed. Intergroup qualitative and quantitative metrics were compared between DLIR and ASIR-V 40 using proportional odds logistic regression models. Results Eighty-six liver lesions (mean size, 15 mm ± 9.5 [SD]) in 50 patients (median age, 62 years [IQR, 57-73 years]; 27 [54%] female patients) were included. Differences were not detected for various qualitative low-contrast detectability metrics between ASIR-V 40 and DLIR ( > .05). Quantitatively, medium-strength DLIR and high-strength DLIR yielded higher lesion-to-background contrast-to-noise ratios than ASIR-V 40 (medium-strength DLIR vs ASIR-V 40: odds ratio [OR], 1.96 [95% CI: 1.65, 2.33]; high-strength DLIR vs ASIR-V 40: OR, 5.36 [95% CI: 3.68, 7.82]; < .001). Low-contrast lesion attenuation was reduced by 2.8-3.6 HU with DLIR. Interreader agreement was moderate to very good for the qualitative metrics. Subgroup analysis based on lesion size of larger than 1 cm and 1 cm or smaller yielded similar results ( > .05). Qualitatively, phantom study results were similar to those in patients ( > .05). Conclusion The detectability of low-contrast liver lesions was similar on CT scans reconstructed with low-, medium-, and high-strength DLIR and ASIR-V 40 in both patient and phantom studies. Lesion-to-background contrast-to-noise ratios were higher for DLIR medium- and high-strength reconstructions compared with ASIR-V 40. © RSNA, 2024

摘要

背景 CT 深度学习图像重建(DLIR)通过降低噪声与自适应统计迭代重建-V(ASIR-V)相比,可改善图像质量。然而,在低对比度病变检测方面的客观评估尚缺乏。目的 在患者和体模研究中,探讨 CT 扫描重建的低对比度肝脏病变的低对比度病变检测能力,与 CT 扫描重建的 ASIR-V 相比。材料与方法 本单中心回顾性研究纳入 2021 年 2 月至 5 月间行门静脉期腹部 CT 检查的患者和采用相同方案扫描的低对比度分辨率体模。生成 4 种重建(ASIR-V 40%强度[ASIR-V 40]和 3 种强度的 DLIR)。5 名放射科医生使用 5 分制 Likert 量表对图像质量、病变诊断信心、显著性和小病变(≤1cm)可见性进行定性评估。每位患者最多可包括 2 个经组织病理学检查或既往或随访影像学检查证实的关键病变。计算病变与背景的对比噪声比。分析读者间的变异性。使用比例优势逻辑回归模型比较 DLIR 和 ASIR-V 40 之间的组间定性和定量指标。结果 在 50 名患者(中位年龄,62 岁[IQR,57-73 岁];27 名[54%]女性患者)中纳入了 86 个肝脏病变(平均大小,15mm±9.5[SD])。在各种定性低对比度检测指标方面,ASIR-V 40 与 DLIR 之间无差异(>.05)。定量分析显示,中强度 DLIR 和高强度 DLIR 与 ASIR-V 40 相比,病变与背景的对比噪声比更高(中强度 DLIR 与 ASIR-V 40 相比:比值比[OR],1.96[95%CI:1.65,2.33];高强度 DLIR 与 ASIR-V 40 相比:OR,5.36[95%CI:3.68,7.82];<.001)。DLIR 可使低对比度病变衰减降低 2.8-3.6HU。定性指标的读者间一致性为中度至极好。基于病变大小大于 1cm 和 1cm 或更小的亚组分析得出了相似的结果(>.05)。在体模研究中,定性结果与患者相似(>.05)。结论 在患者和体模研究中,低、中、高强度 DLIR 与 ASIR-V 40 重建的 CT 扫描在低对比度肝脏病变的检测能力方面相似。与 ASIR-V 40 相比,DLIR 中、高强度重建的病变与背景的对比噪声比更高。© 2024 RSNA

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