Gan Cao, Haiqiao Wang, Shanghuang Xie, Die Cai, Jiandong Guo, Jichao Zhu, Keliang Ye, Yi Wang, Jun Xia
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Sensitivity, specificity, and accuracy for detecting bone erosion, osteosclerosis, and joint space alterations were analyzed for sCT, T2-weighted MRI, and conventional CT.</p><p><strong>Results: </strong>Forty participants (21 men, 19 women) were enrolled, with a mean age of 39 ± 16.9 years. sCT showed strong agreement with conventional CT, with SSIM values of 0.888 for axial and 0.889 for sagittal views. PSNR and MAE values were 24.56 dB and 0.031 for axial and 23.75 dB and 0.038 for sagittal views, respectively. DSC values were 0.935 for axial and 0.876 for sagittal views. sCT showed excellent intra- and inter-reader reliability intraclass correlation coefficients (0.953-0.995 and 0.839-0.983, respectively). sCT had higher sensitivity (57.9% vs. 5.3%), specificity (98.8% vs. 84.6%), and accuracy (93.0% vs. 73.3%) for bone erosion than T2-weighted MRI and outperformed it for osteosclerosis and joint space changes.</p><p><strong>Conclusions: </strong>sCT outperformed conventional T2-weighted MRI in detecting structural lesions indicative of lumbar facet arthritis, with conventional CT as the reference standard.</p>","PeriodicalId":12323,"journal":{"name":"European Spine Journal","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Assessment of T2-weighted MRI-derived synthetic CT for the detection of suspected lumbar facet arthritis: a comparative analysis with conventional CT.\",\"authors\":\"Gan Cao, Haiqiao Wang, Shanghuang Xie, Die Cai, Jiandong Guo, Jichao Zhu, Keliang Ye, Yi Wang, Jun Xia\",\"doi\":\"10.1007/s00586-025-08958-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>We evaluated sCT generated from T2-weighted imaging (T2WI) using deep learning techniques to detect structural lesions in lumbar facet arthritis, with conventional CT as the reference standard.</p><p><strong>Methods: </strong>This single-center retrospective study included 40 patients who had lumbar MRI and CT with in 1 week (September 2020 to August 2021). A Pix2Pix-GAN framework generated CT images from MRI data, and image quality was assessed using structural similarity index (SSIM), mean absolute error (MAE), peak signal-to-noise ratio (PSNR), nd Dice similarity coefficient (DSC). Two senior radiologists evaluated 15 anatomical landmarks. Sensitivity, specificity, and accuracy for detecting bone erosion, osteosclerosis, and joint space alterations were analyzed for sCT, T2-weighted MRI, and conventional CT.</p><p><strong>Results: </strong>Forty participants (21 men, 19 women) were enrolled, with a mean age of 39 ± 16.9 years. sCT showed strong agreement with conventional CT, with SSIM values of 0.888 for axial and 0.889 for sagittal views. PSNR and MAE values were 24.56 dB and 0.031 for axial and 23.75 dB and 0.038 for sagittal views, respectively. 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引用次数: 0
摘要
目的:我们以常规CT作为参考标准,利用深度学习技术对T2WI生成的sCT进行评估,以检测腰椎小关节关节炎的结构性病变。方法:这项单中心回顾性研究包括40例患者,他们在1周内(2020年9月至2021年8月)进行了腰椎MRI和CT检查。Pix2Pix-GAN框架从MRI数据生成CT图像,并使用结构相似指数(SSIM)、平均绝对误差(MAE)、峰值信噪比(PSNR)和Dice相似系数(DSC)评估图像质量。两名资深放射科医生评估了15个解剖标志。对sCT、t2加权MRI和常规CT检测骨侵蚀、骨硬化和关节间隙改变的敏感性、特异性和准确性进行分析。结果:共纳入40例受试者(男性21例,女性19例),平均年龄39±16.9岁。sCT显示与常规CT非常吻合,轴位和矢状位的SSIM值分别为0.888和0.889。轴向面PSNR和MAE分别为24.56 dB和0.031,矢状面PSNR和MAE分别为23.75 dB和0.038。轴位DSC值为0.935,矢状位DSC值为0.876。sCT显示优异的读者内信度和读者间信度,类内相关系数分别为0.953 ~ 0.995和0.839 ~ 0.983。sCT对骨侵蚀的敏感性(57.9% vs. 5.3%)、特异性(98.8% vs. 84.6%)和准确性(93.0% vs. 73.3%)高于t2加权MRI,在骨硬化和关节间隙变化方面优于t2加权MRI。结论:以常规CT为参考标准,sCT在诊断腰椎关节突关节炎的结构性病变方面优于常规t2加权MRI。
Assessment of T2-weighted MRI-derived synthetic CT for the detection of suspected lumbar facet arthritis: a comparative analysis with conventional CT.
Purpose: We evaluated sCT generated from T2-weighted imaging (T2WI) using deep learning techniques to detect structural lesions in lumbar facet arthritis, with conventional CT as the reference standard.
Methods: This single-center retrospective study included 40 patients who had lumbar MRI and CT with in 1 week (September 2020 to August 2021). A Pix2Pix-GAN framework generated CT images from MRI data, and image quality was assessed using structural similarity index (SSIM), mean absolute error (MAE), peak signal-to-noise ratio (PSNR), nd Dice similarity coefficient (DSC). Two senior radiologists evaluated 15 anatomical landmarks. Sensitivity, specificity, and accuracy for detecting bone erosion, osteosclerosis, and joint space alterations were analyzed for sCT, T2-weighted MRI, and conventional CT.
Results: Forty participants (21 men, 19 women) were enrolled, with a mean age of 39 ± 16.9 years. sCT showed strong agreement with conventional CT, with SSIM values of 0.888 for axial and 0.889 for sagittal views. PSNR and MAE values were 24.56 dB and 0.031 for axial and 23.75 dB and 0.038 for sagittal views, respectively. DSC values were 0.935 for axial and 0.876 for sagittal views. sCT showed excellent intra- and inter-reader reliability intraclass correlation coefficients (0.953-0.995 and 0.839-0.983, respectively). sCT had higher sensitivity (57.9% vs. 5.3%), specificity (98.8% vs. 84.6%), and accuracy (93.0% vs. 73.3%) for bone erosion than T2-weighted MRI and outperformed it for osteosclerosis and joint space changes.
Conclusions: sCT outperformed conventional T2-weighted MRI in detecting structural lesions indicative of lumbar facet arthritis, with conventional CT as the reference standard.
期刊介绍:
"European Spine Journal" is a publication founded in response to the increasing trend toward specialization in spinal surgery and spinal pathology in general. The Journal is devoted to all spine related disciplines, including functional and surgical anatomy of the spine, biomechanics and pathophysiology, diagnostic procedures, and neurology, surgery and outcomes. The aim of "European Spine Journal" is to support the further development of highly innovative spine treatments including but not restricted to surgery and to provide an integrated and balanced view of diagnostic, research and treatment procedures as well as outcomes that will enhance effective collaboration among specialists worldwide. The “European Spine Journal” also participates in education by means of videos, interactive meetings and the endorsement of educative efforts.
Official publication of EUROSPINE, The Spine Society of Europe