MR arthrography of the hip: evaluation of isotropic 3D intermediate-weighted FSE and hybrid GRE T1-weighted sequences

Foti, Giovanni; Campacci, Antonio; Conati, Michele; Trentadue, Mirko; Zorzi, Claudio; Carbognin, Giovanni

doi:10.1007/s11547-017-0780-4

Cited by 10 publications

(3 citation statements)

References 38 publications

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“…Advantages of directly injecting contrast agent into a joint compartment include articular distention and improved contrast-to-noise ratio, which aid the differentiation between the foveal and styloid insertion of the TFCC in partial-thickness tears⁠ [ 25 ]. Combinations of arthrography, thin-slice 3D sequences and anatomically angulated reconstructions are frequently implemented in knee⁠, shoulder⁠ and hip⁠ MRI [ 19 , 26 , 27 ]. For the TFCC, however, the benefits of preparing a radial plane view based on isotropic 3D MRI data acquisition have not been thoroughly evaluated.…”

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confidence: 99%

Improved diagnostic accuracy for ulnar-sided TFCC lesions with radial reformation of 3D sequences in wrist MR arthrography

et al. 2021

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Objectives Triangular fibrocartilage complex (TFCC) injuries frequently cause ulnar-sided wrist pain and can induce distal radioulnar joint instability. With its complex three-dimensional structure, diagnosis of TFCC lesions remains a challenging task even in MR arthrograms. The aim of this study was to assess the added diagnostic value of radial reformatting of isotropic 3D MRI datasets compared to standard planes after direct arthrography of the wrist. Methods Ninety-three patients underwent wrist MRI after fluoroscopy-guided multi-compartment arthrography. Two radiologists collectively analyzed two datasets of each MR arthrogram for TFCC injuries, with one set containing standard reconstructions of a 3D thin-slice sequence in axial, coronal and sagittal orientation, while the other set comprised an additional radial plane view with the rotating center positioned at the ulnar styloid. Surgical reports (whenever available) or radiological reports combined with clinical follow-up served as a standard of reference. In addition, diagnostic confidence and assessability of the central disc and ulnar-sided insertions were subjectively evaluated. Results Injuries of the articular disc, styloid and foveal ulnar attachment were present in 20 (23.7%), 10 (10.8%) and 9 (9.7%) patients. Additional radial planes increased diagnostic accuracy for lesions of the styloid (0.83 vs. 0.90; p = 0.016) and foveal (0.86 vs. 0.94; p = 0.039) insertion, whereas no improvement was identified for alterations of the central cartilage disc. Readers’ confidence (p < 0.001) and assessability of the ulnar-sided insertions (p < 0.001) were superior with ancillary radial reformatting. Conclusions Access to the radial plane view of isotropic 3D sequences in MR arthrography improves diagnostic accuracy and confidence for ulnar-sided TFCC lesions. Key Points • In multi-compartment arthrography of the wrist, ancillary radial plane view aids assessability of the foveal and styloid ulnar-sided insertions of the triangular fibrocartilage complex. • Assessment of peripheral TFCC injuries is more accurate with access to radial multiplanar reconstructions. • Additional radial planes provide greater diagnostic confidence.

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Section: Discussionmentioning

confidence: 99%

Improved diagnostic accuracy for ulnar-sided TFCC lesions with radial reformation of 3D sequences in wrist MR arthrography

et al. 2021

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“…[9][10][11][12] While the accuracy of MR arthrography (MRA) is higher, reaching 0.91-0.95. 13,14 However, MRA of the hip joint is an invasive examination, which is rarely carried out in some institutions. And we want to develop a system based on the most common examination methods.…”

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confidence: 99%

“…According to previous studies, the accuracy of MRI in the diagnosis of labral injury is 0.64–0.96 9–12 . While the accuracy of MR arthrography (MRA) is higher, reaching 0.91–0.95 13,14 . However, MRA of the hip joint is an invasive examination, which is rarely carried out in some institutions.…”

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confidence: 99%

A Deep Learning Approach for MRI in the Diagnosis of Labral Injuries of the Hip Joint

Wen

Chen

et al. 2022

Magnetic Resonance Imaging

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Background:The diagnosis of labral injury on MRI is time-consuming and potential for incorrect diagnoses. Purpose: To explore the feasibility of applying deep learning to diagnose and classify labral injuries with MRI. Study Type: Retrospective. Population: A total of 1016 patients were divided into normal (n = 168, class 0) and abnormal labrum (n = 848) groups. The abnormal group consisted of n = 111 with class 1 (degeneration), n = 437 with class 2 (partial or complete tear), and n = 300 with unclassified injury. Patients were randomly divided into training, validation, and test cohort according to the ratio of 55%:15%:30%. Field Strength/Sequence: Fat-saturation proton density-weighted fast spin-echo sequence at 3.0 T. Assessment: Convolutional neural network-6 (CNN-6) was used to extract, discriminate, and detect oblique coronal (OCOR) and oblique sagittal (OSAG) images. Mask R-CNN was used for segmentation. LeNet-5 was used to diagnose and classify labral injuries. The weighting method combined the models of OCOR and OSAG. The output-input connection was used to correlate the whole diagnosis/classification system. Four radiologists performed subjective diagnoses to obtain the diagnosis results. Statistical Tests: CNN-6 and LeNet-5 were evaluated by area under the receiver operating characteristic (ROC) curve and related parameters. The mean average precision (MAP) evaluated the Mask R-CNN. McNemar's test was used to compare the radiologists and models. A P value < 0.05 was considered statistically significant. Results: The area under the curve (AUC) of CNN-6 was 0.99 for extraction, discrimination, and detection. MAP values of Mask R-CNN for OCOR and OSAG image segmentation were 0.96 and 0.99. The accuracies of LeNet-5 in the diagnosis and classification were 0.94/0.94 (OCOR) and 0.92/0.91 (OSAG), respectively. The accuracy of the weighted models in the diagnosis and classification were 0.94 and 0.97, respectively. The accuracies of radiologists in the diagnosis and classification of labrum injuries ranged from 0.85 to 0.92 and 0.78 to 0.94, respectively. Data Conclusion: Deep learning can assist radiologists in diagnosing and classifying labrum injuries.

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Labrumpathologie des Hüftgelenkes

Czerny¹,

Chiari

Nöbauer-Huhmann³

2018

Radiologe

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Labrumpathologie des Hüftgelenkes Die Magnetresonanztomographie (MRT) von Labrumläsionen des Hüftgelenkes hat in den letzten2 Jahrzenten an Bedeutung stark zugenommen. Am besten sind die Pathologien des Labrum acetabulare mit der MR-Arthrographie (MR-ATG) zu erfassen. Neben Labrumveränderungen spielen aber auch Knorpelschädigungen, die auch mit Labrumläsionen -am chondrolabralen Übergang -einhergehen können, eine zunehmende Rolle in der Diagnostik. Mit der MR-ATG sind Einrisse und Abrisse des Labrums durch die Distension der intraartikulären Strukturen gut erkennbar. Jüngst wurde -zur noch besseren Darstellung des chondrolabralen Überganges und von Läsionen in diesem Bereich -die MR-ATG unter gleichzeitiger Traktion der zu untersuchenden Extremität eingesetzt. Veränderungen in diesem Bereich wurden durch die ausgeprägtere Distension des Hüftgelenkes und seiner intraartikulären Strukturen unter Umständen noch besser erkennbar als mit der MR-ATG ohne Traktion. Dies führte auch zu einer neuen modifizierten Einteilung der Labrumläsionen des Hüftgelenkes. Hintergrund Das Labrum des Hüftgelenkes erfüllt mehrere wichtige Funktionen: Es 4 erhöht die Kontaktfläche und die Kongruenz der Gleitlager, 4 trägt zur Verteilung der Gelenkflüssigkeit bei, 4 führt damit zu einer gleichmäßigeren Druckverteilung im Hüftgelenk, 4 kann Krafteinwirkungen absorbieren und 4 erhöht die Stabilität des Gelenkes [2].

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MR arthrography of the hip: evaluation of isotropic 3D intermediate-weighted FSE and hybrid GRE T1-weighted sequences

Abstract: At 1.5 Tesla hip MRA, the accuracy of IW-3D and Hy-3D images was not significantly higher than the 2D sequences in evaluating acetabular labrum and chondral lesions.

Cited by 10 publications

References 38 publications

Improved diagnostic accuracy for ulnar-sided TFCC lesions with radial reformation of 3D sequences in wrist MR arthrography

Improved diagnostic accuracy for ulnar-sided TFCC lesions with radial reformation of 3D sequences in wrist MR arthrography

A Deep Learning Approach for MRI in the Diagnosis of Labral Injuries of the Hip Joint

Labrumpathologie des Hüftgelenkes

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