| 1. |
- Eriksson, Stefanie, et al.
(författare)
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Texture Analysis of Magnetic Resonance Images Enables Phenotyping of Potentially Painful Annular Fissures.
- 2022
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Ingår i: Spine. - 1528-1159. ; 47:5, s. 430-437
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Tidskriftsartikel (refereegranskat)abstract
- Retrospective analysis of prospectively collected data.To investigate whether intervertebral disc (IVD) image features, extracted from magnetic resonance (MR) images, can depict the extension and width of annular fissures and associate them to pain.Annular fissures are suggested to be associated with low back pain (LBP). Magnetic resonance imaging (MRI) is a sensitive method, yet fissures are sometimes unobservable in T2-weighted MR-images, even though fissure information is present in the image. Image features can mathematically be calculated from MR-images and might reveal fissure characteristics.44 LBP patients who underwent MRI, low-pressure discography (<50psi) and computed tomography (CT) sequentially in one day, were reviewed. After semi-automated segmentation of 126 discs, image features were extracted from the T2-weighted images. The number of image features were reduced with principle component analysis (PCA). CT-discograms were graded and dichotomized regarding extension and width of fissures. IVDs were divided into fissures extending to outer annulus vs. short/no fissures. Fissure width was dichotomized into narrow (<10%) vs. broad fissures (>10%), and into moderately broad (10%-50%) vs. very broad fissures (>50%). Logistic regression was performed to investigate if image features could depict fissure extension to outer annulus and fissure width. As a sub-analysis, the association between image features used to depict fissure characteristics and discography-provoked pain-response were investigated.Fissure extension could be depicted with sensitivity/specificity=0.97/0.77 and area under curve (AUC)=0.97. Corresponding results for width depiction were sensitivity/specificity=0.94/0.39 and 0.85/0.62, and AUC=0.86 and 0.81 for narrow vs. broad and moderately broad vs. very broad fissures respectively. Pain prediction with image features used for depicting fissure characteristics showed sensitivity/specificity=0.90/0.36, 0.88/0.4, 0.93/0.33; AUC=0.69, 0.75 and 0.73 respectively.Standard MR-images contains fissure information associated to pain that can be depicted with image features, enabling non-invasive phenotyping of potentially painful annular fissures.Level of Evidence: 2.
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| 2. |
- Waldenberg, Christian, 1987, et al.
(författare)
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Detection of Imperceptible Intervertebral Disc Fissures in Conventional MRI-An AI Strategy for Improved Diagnostics.
- 2022
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Ingår i: Journal of clinical medicine. - : MDPI AG. - 2077-0383. ; 12:1
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Tidskriftsartikel (refereegranskat)abstract
- Annular fissures in the intervertebral discs are believed to be closely related to back pain. However, no sensitive non-invasive method exists to detect annular fissures. This study aimed to propose and test a method capable of detecting the presence and position of annular fissures in conventional magnetic resonance (MR) images non-invasively. The method utilizes textural features calculated from conventional MR images combined with attention mapping and artificial intelligence (AI)-based classification models. As ground truth, reference standard computed tomography (CT) discography was used. One hundred twenty-three intervertebral discs in 43 patients were examined with MR imaging followed by discography and CT. The fissure classification model determined the presence of fissures with 100% sensitivity and 97% specificity. Moreover, the true position of the fissures was correctly determined in 90 (87%) of the analyzed discs. Additionally, the proposed method was significantly more accurate at identifying fissures than the conventional radiological high-intensity zone marker. In conclusion, the findings suggest that the proposed method is a promising diagnostic tool to detect annular fissures of importance for back pain and might aid in clinical practice and allow for new non-invasive research related to the presence and position of individual fissures.
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