Diagnostic Image Analysis Group, Radboud University Medical Center Nijmegen, P.O. Box 9101, Nijmegen, 6500 HB, The Netherlands.
Department of Orthopedics, Radboud University Medical Center Nijmegen, Nijmegen, The Netherlands.
Eur Radiol. 2024 Sep;34(9):5748-5757. doi: 10.1007/s00330-024-10616-8. Epub 2024 Feb 21.
Severity of degenerative scoliosis (DS) is assessed by measuring the Cobb angle on anteroposterior radiographs. However, MRI images are often available to study the degenerative spine. This retrospective study aims to develop and evaluate the reliability of a novel automatic method that measures coronal Cobb angles on lumbar MRI in DS patients.
Vertebrae and intervertebral discs were automatically segmented using a 3D AI algorithm, trained on 447 lumbar MRI series. The segmentations were used to calculate all possible angles between the vertebral endplates, with the largest being the Cobb angle. The results were validated with 50 high-resolution sagittal lumbar MRI scans of DS patients, in which three experienced readers measured the Cobb angle. Reliability was determined using the intraclass correlation coefficient (ICC).
The ICCs between the readers ranged from 0.90 (95% CI 0.83-0.94) to 0.93 (95% CI 0.88-0.96). The ICC between the maximum angle found by the algorithm and the average manually measured Cobb angles was 0.83 (95% CI 0.71-0.90). In 9 out of the 50 cases (18%), all readers agreed on both vertebral levels for Cobb angle measurement. When using the algorithm to extract the angles at the vertebral levels chosen by the readers, the ICCs ranged from 0.92 (95% CI 0.87-0.96) to 0.97 (95% CI 0.94-0.98).
The Cobb angle can be accurately measured on MRI using the newly developed algorithm in patients with DS. The readers failed to consistently choose the same vertebral level for Cobb angle measurement, whereas the automatic approach ensures the maximum angle is consistently measured.
Our AI-based algorithm offers reliable Cobb angle measurement on routine MRI for degenerative scoliosis patients, potentially reducing the reliance on conventional radiographs, ensuring consistent assessments, and therefore improving patient care.
• While often available, MRI images are rarely utilized to determine the severity of degenerative scoliosis. • The presented MRI Cobb angle algorithm is more reliable than humans in patients with degenerative scoliosis. • Radiographic imaging for Cobb angle measurements is mitigated when lumbar MRI images are available.
通过测量前后位 X 光片上的 Cobb 角来评估退行性脊柱侧凸(DS)的严重程度。然而,MRI 图像通常可用于研究退行性脊柱。本回顾性研究旨在开发和评估一种新的自动方法,该方法可在 DS 患者的腰椎 MRI 上测量冠状 Cobb 角,并评估其可靠性。
使用 3D AI 算法自动对椎体和椎间盘进行分割,该算法是在 447 例腰椎 MRI 系列上进行训练的。使用这些分割来计算椎体终板之间的所有可能角度,其中最大的角度为 Cobb 角。使用 50 例 DS 患者的高分辨率矢状位腰椎 MRI 扫描对结果进行验证,其中 3 名经验丰富的读者测量 Cobb 角。使用组内相关系数(ICC)确定可靠性。
读者之间的 ICC 范围为 0.90(95%置信区间 0.83-0.94)至 0.93(95%置信区间 0.88-0.96)。算法发现的最大角度与平均手动测量的 Cobb 角之间的 ICC 为 0.83(95%置信区间 0.71-0.90)。在 50 例中有 9 例(18%),所有读者在 Cobb 角测量时都对两个椎体水平达成一致。当使用算法提取读者选择的椎体水平的角度时,ICC 范围为 0.92(95%置信区间 0.87-0.96)至 0.97(95%置信区间 0.94-0.98)。
在 DS 患者中,使用新开发的算法可以在 MRI 上准确测量 Cobb 角。读者未能始终如一地选择相同的椎体水平进行 Cobb 角测量,而自动方法则可确保始终测量最大角度。
我们基于 AI 的算法可在常规 MRI 上为退行性脊柱侧凸患者提供可靠的 Cobb 角测量,从而可能减少对常规 X 光片的依赖,确保评估的一致性,从而改善患者的护理。
尽管 MRI 图像通常可用,但很少用于确定退行性脊柱侧凸的严重程度。
与人类相比,新提出的 MRI Cobb 角算法在退行性脊柱侧凸患者中更可靠。
当有腰椎 MRI 图像时,可减轻 Cobb 角测量的放射影像学检查。