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Potential of dual-energy CT-based collagen maps for the assessment of disk degeneration in the lumbar spine

  • Rationale and Objectives: Lumbar disk degeneration is a common condition contributing significantly to back pain. The objective of the study was to evaluate the potential of dual-energy CT (DECT)-derived collagen maps for the assessment of lumbar disk degeneration. Patients and Methods: We conducted a retrospective analysis of 127 patients who underwent dual-source DECT and MRI of the lumbar spine between 07/2019 and 10/2022. The level of lumbar disk degeneration was categorized by three radiologists as follows: no/mild (Pfirrmann 1&2), moderate (Pfirrmann 3&4), and severe (Pfirrmann 5). Recall (sensitivity) and accuracy of DECT collagen maps were calculated. Intraclass correlation coefficient (ICC) was used to evaluate inter-reader reliability. Subjective evaluations were performed using 5-point Likert scales for diagnostic confidence and image quality. Results: We evaluated a total of 762 intervertebral disks from 127 patients (median age, 69.7 (range, 23.0–93.7), female, 56). MRI identified 230 non/mildly degenerated disks (30.2%), 484 moderately degenerated disks (63.5%), and 48 severely degenerated disks (6.3%). DECT collagen maps yielded an overall accuracy of 85.5% (1955/2286). Recall (sensitivity) was 79.3% (547/690) for the detection of no/mild lumbar disk degeneration, 88.7% (1288/1452) for the detection of moderate disk degeneration, and 83.3% (120/144) for the detection of severe disk degeneration (ICC = 0.9). Subjective evaluations of DECT collagen maps showed high diagnostic confidence (median 4) and good image quality (median 4). Conclusion: The use of DECT collagen maps to distinguish different stages of lumbar disk degeneration may have clinical significance in the early diagnosis of disk-related pathologies in patients with contraindications for MRI or in cases of unavailability of MRI.

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Author:Scherwin MahmoudiORCiDGND, Leon David GrünewaldORCiDGND, Vitali KochORCiDGND, Simon BernatzORCiDGND, Simon S. MartinORCiDGND, Lara Engelskirchen, Ivana Radic, Giuseppe BucoloORCiDGND, Tommaso D’AngeloORCiD, Jennifer GottaGND, Christoph MaderORCiDGND, Daniel Pinto dos SantosORCiDGND, Jan-Erik ScholtzGND, Tatjana Gruber-RouhORCiDGND, Katrin EichlerGND, Thomas J. VoglORCiDGND, Christian BoozORCiDGND, Ibrahim YelORCiDGND
URN:urn:nbn:de:hebis:30:3-834686
URL:https://www.sciencedirect.com/science/article/pii/S1076633224001272
DOI:https://doi.org/10.1016/j.acra.2024.02.036
ISSN:1076-6332
Parent Title (English):Academic radiology
Publisher:Elsevier
Place of publication:Amsterdam
Document Type:Article
Language:English
Date of Publication (online):2024/03/22
Date of first Publication:2024/03/22
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2024/08/22
Tag:Collagen Maps; Computed tomography; DECT; Lumbar Disk Degeneration; Post-processing; Spine
Volume:2024
Issue:In Press, Corrected Proof
Institutes:Medizin
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International