Assessment of thoracic disc degeneration using dual-energy CT-based collagen maps

被引:0
|
作者
Bernatz, Simon [1 ,2 ]
Hoppe, Alexander Tom [3 ]
Gruenewald, Leon David [1 ]
Koch, Vitali [1 ]
Martin, Simon S. [1 ]
Engelskirchen, Lara [1 ]
Radic, Ivana [1 ]
Bucolo, Giuseppe [4 ]
Gotta, Jennifer [1 ]
Reschke, Philipp [1 ]
Hammerstingl, Renate M. [1 ]
Scholtz, Jan-Erik [1 ]
Gruber-Rouh, Tatjana [1 ]
Eichler, Katrin [1 ]
Vogl, Thomas J. [1 ]
Booz, Christian [1 ]
Yel, Ibrahim [1 ]
Mahmoudi, Scherwin [1 ]
机构
[1] Goethe Univ Frankfurt Main, Univ Hosp Frankfurt, Dept Diagnost & Intervent Radiol, Frankfurt, Germany
[2] Goethe Univ Frankfurt Main, Univ Hosp Frankfurt, Dr Senckenberg Inst Pathol, Frankfurt, Germany
[3] Univ Hosp Zurich, Inst Diagnost & Intervent Radiol, Zurich, Switzerland
[4] Univ Messina, Dept Biomed Sci & Morphol & Funct Imaging, Messina, Italy
关键词
Collagen; Intervertebral disc degeneration; Magnetic resonance imaging; Spine; Tomography (x-ray computed); RISK;
D O I
10.1186/s41747-024-00500-x
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
BackgroundWe evaluated the role of dual-energy computed tomography (DECT)-based collagen maps in assessing thoracic disc degeneration.MethodsWe performed a retrospective analysis of patients who underwent DECT and magnetic resonance imaging (MRI) of the thoracic spine within a 2-week period from July 2019 to October 2022. Thoracic disc degeneration was classified by three blinded radiologists into three Pfirrmann categories: no/mild (grade 1-2), moderate (grade 3-4), and severe (grade 5). The DECT performance was determined using MRI as a reference standard. Interreader reliability was assessed using intraclass correlation coefficient (ICC). Five-point Likert scales were used to assess diagnostic confidence and image quality.ResultsIn total, 612 intervertebral discs across 51 patients aged 68 +/- 16 years (mean +/- standard deviation), 28 males and 23 females, were assessed. MRI revealed 135 no/mildly degenerated discs (22.1%), 470 moderately degenerated discs (76.8%), and 7 severely degenerated discs (1.1%). DECT collagen maps achieved an overall accuracy of 1,483/1,838 (80.8%) for thoracic disc degeneration. Overall recall (sensitivity) was 331/405 (81.7%) for detecting no/mild degeneration, 1,134/1,410 (80.4%) for moderate degeneration, and 18/21 (85.7%) for severe degeneration. Interrater agreement was good (ICC = 0.89). Assessment of DECT-based collagen maps demonstrated high diagnostic confidence (median 4; interquartile range 3-4) and good image quality (median 4; interquartile range 4-4).ConclusionDECT showed an overall 81% accuracy for disc degeneration by visualizing differences in the collagen content of thoracic discs.Relevance statementUtilizing DECT-based collagen maps to distinguish various stages of thoracic disc degeneration could be clinically relevant for early detection of disc-related conditions. This approach may be particularly beneficial when MRI is contraindicated.Key PointsA total of 612 intervertebral discs across 51 patients were retrospectively assessed with DECT, using MRI as a reference standard.DECT-based collagen maps allowed thoracic disc degeneration assessment achieving an overall 81% accuracy with good interrater agreement (ICC = 0.89).DECT-based collagen maps could be a good alternative in the case of contraindications to MRI.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Electron-density assessment using dual-energy CT: accuracy and robustness
    Moehler, C.
    Wohlfahrt, P.
    Richter, C.
    Greilich, S.
    RADIOTHERAPY AND ONCOLOGY, 2017, 123 : S912 - S912
  • [32] First Clinical Experience with BMD Assessment in Vertebrae Using Dual-Energy CT
    Wesarg, Stefan
    Wichmann, Julian
    Booz, Christian
    Erdt, Marius
    Kafchitsas, Konstantinos
    Khan, M. Fawad
    CLINICAL IMAGE-BASED PROCEDURES: TRANSLATIONAL RESEARCH IN MEDICAL IMAGING, 2014, 8361 : 151 - 159
  • [33] Assessment of Regional Perfusion in Acute Lung Injury Using Dual-Energy CT
    Xin, Y.
    Cereda, M.
    Hamedani, H.
    Na, S.
    Pourfathi, M.
    Siddiqui, S.
    Amzajerdian, F.
    Meeder, N.
    Duncan, I.
    Loza, L.
    Baron, R.
    Roberts, A.
    Ehrich, J.
    Profka, H.
    Kadlecek, S.
    Tustison, N.
    Gee, J.
    Kavanagh, B. P.
    Rizi, R. R.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2018, 197
  • [34] Use of Dual-Energy CT and Iodine Maps in Evaluation of Bowel Disease
    Fulwadhva, Urvi P.
    Wortman, Jeremy R.
    Sodickson, Aaron D.
    RADIOGRAPHICS, 2016, 36 (02) : 393 - 406
  • [35] Diagnostic accuracy of dual-energy CT-based nomograms to predict lymph node metastasis in gastric cancer
    Jing Li
    Mengjie Fang
    Rui Wang
    Di Dong
    Jie Tian
    Pan Liang
    Jie Liu
    Jianbo Gao
    European Radiology, 2018, 28 : 5241 - 5249
  • [36] Diagnostic accuracy of dual-energy CT-based nomograms to predict lymph node metastasis in gastric cancer
    Li, Jing
    Fang, Mengjie
    Wang, Rui
    Dong, Di
    Tian, Jie
    Liang, Pan
    Liu, Jie
    Gao, Jianbo
    EUROPEAN RADIOLOGY, 2018, 28 (12) : 5241 - 5249
  • [37] Dual-Energy CT-Based Nomogram for Decoding HER2 Status in Patients With Gastric Cancer
    Zhao, Huiping
    Li, Weiran
    Huang, Wenpeng
    Yang, Yujiao
    Shen, Wei
    Liang, Pan
    Gao, Jianbo
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2021, 216 (06) : 1539 - 1548
  • [38] Dual-Energy CT-Based Iodine Quantitation for Response Evaluation of Lung Cancers to Chemoradiation Therapy/Radiation Therapy: A Comparison with 18 FDGePET/CT-Based PERCIST
    Ren, Y.
    Jiao, Y.
    Zhang, L.
    Zheng, X.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2017, 99 (02): : S48 - S49
  • [39] Dual-energy CT-based proton treatment planning to assess patient-specific range uncertainties
    Wohlfahrt, P.
    Moehler, C.
    Enghardt, W.
    Greilich, S.
    Richter, C.
    RADIOTHERAPY AND ONCOLOGY, 2017, 123 : S73 - S75
  • [40] A Deep Learning Approach for Dual-Energy CT-Based Proton Stopping-Power-Ratio Estimation
    Lee, H.
    Duan, X.
    Jia, X.
    Yang, M.
    MEDICAL PHYSICS, 2019, 46 (06) : E451 - E451