Suppr超能文献

利用影像组学区分单相 CT 血管造影中的左心耳血栓和混合伪影。

Use of radiomics to differentiate left atrial appendage thrombi and mixing artifacts on single-phase CT angiography.

机构信息

Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Siemens Medical Solutions USA Inc., Malvern, PA, 19355, USA.

出版信息

Int J Cardiovasc Imaging. 2021 Jun;37(6):2071-2078. doi: 10.1007/s10554-021-02178-3. Epub 2021 Feb 5.

Abstract

To assess if radiomics can differentiate left atrial appendage (LAA) contrast-mixing artifacts and thrombi on early-phase CT angiography without the need for late-phase images. Our study included 111 patients who underwent early- and late-phase, contrast-enhanced cardiac CT. Of these, 79 patients had LAA filling defects from thrombus (n = 46, mean age: 72  ±  12 years, M:F 26:20) or contrast-mixing artifact (n = 33, mean age: 71  ±  13 years, M:F 21:12) on early-contrast-enhanced phase. The remaining 32 patients (mean age: 66  ±  10 years, M:F 19:13) had homogeneous LAA opacification without filling defects. The entire LAA volume on early-phase CT images was manually segmented to obtain radiomic features (Frontier, Siemens). A radiologist assessed for the presence of LAA filling defects and recorded the size and mean CT attenuation (HU) of filling defects and normal LAA. The data were analyzed using multiple logistic regression with receiver operating characteristics area under the curve (AUC) as an output. The radiologist correctly identified all 32 patients without LAA filling defects, 42/46 LAA with thrombi, and 23/33 contrast mixing artifacts. Although HU of LAA thrombi and contrast mixing artifacts was significantly different, with the lowest AUC (0.66), it was inferior to both radiologist assessment and radiomics (p = 0.05). Combination of radiologist assessment and radiomics (AUC 0.92) was superior to HU (0.66), radiomics (0.85), and radiologist (0.80) alone (p < 0.008). Radiomics can differentiate between LAA filling defects from thrombi and contrast mixing artifacts on early-phase contrast-enhanced CT images without the need for late-phase CT.

摘要

为了评估在无需进行晚期 CT 血管造影的情况下,放射组学是否可以区分左心耳(LAA)对比混合伪影和血栓。我们的研究纳入了 111 例接受早期和晚期增强心脏 CT 的患者。其中,79 例患者在早期增强期 CT 上有 LAA 充盈缺损,其原因是血栓(n=46,平均年龄:72±12 岁,M:F 26:20)或对比混合伪影(n=33,平均年龄:71±13 岁,M:F 21:12)。其余 32 例患者(平均年龄:66±10 岁,M:F 19:13)的 LAA 显影均匀,无充盈缺损。早期 CT 图像上的整个 LAA 体积通过手动分割来获得放射组学特征(Frontier,Siemens)。放射科医生评估 LAA 充盈缺损的存在情况,并记录充盈缺损和正常 LAA 的大小和平均 CT 衰减值(HU)。使用多变量逻辑回归分析,以接收者操作特征曲线下面积(AUC)作为输出。放射科医生正确识别出所有 32 例无 LAA 充盈缺损的患者、46 例 LAA 血栓患者中的 42 例和 33 例 LAA 对比混合伪影患者中的 23 例。尽管 LAA 血栓和对比混合伪影的 HU 值有显著差异,但其 AUC(0.66)低于放射科医生评估和放射组学(p=0.05)。放射科医生评估与放射组学(AUC 0.92)的组合优于 HU(0.66)、放射组学(0.85)和放射科医生(0.80)(p<0.008)。放射组学可以在无需进行晚期 CT 的情况下,区分早期增强 CT 图像上 LAA 充盈缺损是由血栓还是对比混合伪影引起的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/baa1/7863854/14ac71e76303/10554_2021_2178_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验