Prospective Comparison of Standard and Deep Learning-reconstructed Turbo Spin-Echo MRI of the Shoulder.

Journal: Radiology
Published Date: Jan 1, 2024

Abstract

Background Deep learning (DL)-based MRI reconstructions can reduce imaging times for turbo spin-echo (TSE) examinations. However, studies that prospectively use DL-based reconstructions of rapidly acquired, undersampled MRI in the shoulder are lacking. Purpose To compare the acquisition time, image quality, and diagnostic confidence of DL-reconstructed TSE (TSE) with standard TSE in patients indicated for shoulder MRI. Materials and Methods This prospective single-center study included consecutive adult patients with various shoulder abnormalities who were clinically referred for shoulder MRI between February and March 2023. Each participant underwent standard TSE MRI (proton density- and T1-weighted imaging; conventional TSE sequence was used as reference for comparison), followed by a prospectively undersampled accelerated TSE examination. Six musculoskeletal radiologists evaluated images using a four-point Likert scale (1, poor; 4, excellent) for overall image quality, perceived signal-to-noise ratio, sharpness, artifacts, and diagnostic confidence. The frequency of major pathologic features and acquisition times were also compared between the acquisition protocols. The intergroup comparisons were performed using the Wilcoxon signed rank test. Results Overall, 135 shoulders in 133 participants were evaluated (mean age, 47.9 years ± 17.1 [SD]; 73 female participants). The median acquisition time of the TSE protocol was lower than that of the standard TSE protocol (288 seconds [IQR, 288-288 seconds] vs 926 seconds [IQR, 926-950 seconds], respectively; < .001), achieving a 69% lower acquisition time. TSE images were given higher scores for overall image quality, perceived signal-to-noise ratio, and artifacts (all < .001). Similar frequency of pathologic features ( = .48 to > .99), sharpness ( = .06), or diagnostic confidence ( = .05) were noted between images from the two protocols. Conclusion In a clinical setting, TSE led to reduced examination time and higher image quality with similar diagnostic confidence compared with standard TSE MRI in the shoulder. © RSNA, 2024 . See also the editorial by Chang and Chow in this issue.

Authors

  • Yuxue Xie
    From the Department of Radiology & Institute of Medical Functional and Molecular Imaging, Huashan Hospital, Fudan University, 12 Wulumuqizhong Rd, Shanghai 200040, China (Y.X., H.T., X.L., Y.H., C.L., B.Z., J.C., S.C.); MR Application Predevelopment, Siemens Healthcare, Erlangen, Germany (D.N.); MR Collaboration, Siemens (Shenzhen) Magnetic Resonance, Shenzhen, China (C.F.); and MR Application, Siemens Healthineers, Shanghai, China (B.X.).
  • Hongyue Tao
    From the Department of Radiology & Institute of Medical Functional and Molecular Imaging, Huashan Hospital, Fudan University, 12 Wulumuqizhong Rd, Shanghai 200040, China (Y.X., H.T., X.L., Y.H., C.L., B.Z., J.C., S.C.); MR Application Predevelopment, Siemens Healthcare, Erlangen, Germany (D.N.); MR Collaboration, Siemens (Shenzhen) Magnetic Resonance, Shenzhen, China (C.F.); and MR Application, Siemens Healthineers, Shanghai, China (B.X.).
  • Xiangwen Li
    From the Department of Radiology & Institute of Medical Functional and Molecular Imaging, Huashan Hospital, Fudan University, 12 Wulumuqizhong Rd, Shanghai 200040, China (Y.X., H.T., X.L., Y.H., C.L., B.Z., J.C., S.C.); MR Application Predevelopment, Siemens Healthcare, Erlangen, Germany (D.N.); MR Collaboration, Siemens (Shenzhen) Magnetic Resonance, Shenzhen, China (C.F.); and MR Application, Siemens Healthineers, Shanghai, China (B.X.).
  • Yiwen Hu
    Laboratory for Atomistic and Molecular Mechanics, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, Massachusetts 02139, United States.
  • Changyan Liu
    Department of General Practice, Tongren Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
  • Bijing Zhou
    Department of Radiology, Huashan Hospital, Fudan University, Jing'an District, 12 Middle Urumqi Road, Shanghai, 200040, China.
  • Jiajie Cai
    From the Department of Radiology & Institute of Medical Functional and Molecular Imaging, Huashan Hospital, Fudan University, 12 Wulumuqizhong Rd, Shanghai 200040, China (Y.X., H.T., X.L., Y.H., C.L., B.Z., J.C., S.C.); MR Application Predevelopment, Siemens Healthcare, Erlangen, Germany (D.N.); MR Collaboration, Siemens (Shenzhen) Magnetic Resonance, Shenzhen, China (C.F.); and MR Application, Siemens Healthineers, Shanghai, China (B.X.).
  • Dominik Nickel
    MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
  • Caixia Fu
  • Bo Xiong
  • Shuang Chen
    The Beijing Genomics Institute (BGI), Shenzhen 518083, China. chenss@connect.hku.hk.

Keywords

External Resources

Popular Topics
Recent Journals