Isotropic three‐dimensional <i>T</i><sub>2</sub> mapping of knee cartilage: Development and validation

Colotti, Roberto; Omoumi, Patrick; Bonanno, Gabriele; Ledoux, Jean‐Baptiste; Heeswijk, Ruud B. van

doi:10.1002/jmri.25755

Cited by 25 publications

(13 citation statements)

References 44 publications

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“…T 2 maps generated from 2D TSE by traditional exponential fitting, which is the most common acquisition pipeline in clinical studies, show poor T 2 accuracy. 32,33 New fitting methods, such as noisecorrected 33 and library-based fitting approaches, 34 along with new 3D acquisition schemes (quantitative double-echo steady-state 35,36 or isotropic 3D T 2 -prepared gradientecho 37 ), which enables higher in-plane spatial resolution and smaller slice thickness, may facilitate reproducible and precise T 2 estimates without the partial volume effect etc.…”

Section: Discussionmentioning

confidence: 99%

T₂ Mapping of Patellar Cartilage After a Single First‐Time Episode of Traumatic Lateral Patellar Dislocation

Voronkova

Melnikov

Манжурцев

et al. 2023

Magnetic Resonance Imaging

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BackgroundIn most cases, lateral patellar dislocation (LPD) is accompanied by chondral injury and may initiate gradual degeneration of patellar cartilage, which might be detected with a T2 mapping, a well‐established method for cartilage lesions assessment.PurposeTo examine short‐term consequences of single first‐time LPD in teenagers by T2 mapping of the patellar‐cartilage state.Study TypeProspective.Population95 patients (mean age: 15.1 ± 2.3; male/female: 46/49) with first‐time, complete, traumatic LPD and 51 healthy controls (mean age: 14.7 ± 2.2, male/female: 29/22).Field Strength/Sequence3.0 T; axial T2 mapping acquired using a 2D turbo spin‐echo sequence.AssessmentMRI examination was conducted 2–4 months after first LPD. T2 values were calculated in manually segmented cartilage area via averaging over three middle level slices in six cartilage regions: deep, intermediate, superficial layers, and medial lateral parts.Statistical TestsANOVA analysis with Tukey's multiple comparison test, one‐vs.‐rest logistic regression analysis. The threshold of significance was set at P < 0.05.ResultsIn lateral patellar cartilage, a significant increase in T2 values was found in deep and intermediate layers in both patient groups with mild (deep: 34.7 vs. 31.3 msec, intermediate: 38.7 vs. 34.6 msec, effect size = 0.55) and severe (34.8 vs. 31.3 msec, 39.1 vs. 34.6 msec, 0.55) LPD consequences as compared to controls. In the medial facet, only severe cartilage damage showed significant prolongation of T2 times in the deep layer (34.3 vs. 30.7 msec, 0.55). No significant changes in T2 values were found in the lateral superficial layer (P = 0.99), whereas mild chondromalacia resulted in a significant decrease of T2 in the medial superficial layer (41.0 vs. 43.8 msec, 0.55).Data ConclusionThe study revealed substantial difference in T2 changes after LPD between medial and lateral areas of patellar cartilage.Evidence Level2Technical Efficacy Stage2

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Section: Discussionmentioning

confidence: 99%

T₂ Mapping of Patellar Cartilage After a Single First‐Time Episode of Traumatic Lateral Patellar Dislocation

Voronkova

Melnikov

Манжурцев

et al. 2023

Magnetic Resonance Imaging

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“…Because of an isotropic voxel size of 0.6 mm, the authors stated that the technique allows for multiplanar reformatting and T2 quantification in any plane of interest. 14 Eijgenraam et al showed that a sagittal 3D quantitative DESS (qDESS) MRI acquisition providing simultaneous T2 mapping and structural assessment of cartilage and meniscus, with full coverage of the knee and acquired within 5 minutes, can distinguish between different grades of radiographic knee OA. 15…”

Section: Quantitative Compositional Cartilage Mrimentioning

confidence: 99%

3D MRI in Osteoarthritis

Oei

Zadelhoff

Eijgenraam

et al. 2021

Semin Musculoskelet Radiol

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Osteoarthritis (OA) is among the top 10 burdensome diseases, with the knee the most affected joint. Magnetic resonance imaging (MRI) allows whole-knee assessment, making it ideally suited for imaging OA, considered a multitissue disease. Three-dimensional (3D) MRI enables the comprehensive assessment of OA, including quantitative morphometry of various joint tissues. Manual tissue segmentation on 3D MRI is challenging but may be overcome by advanced automated image analysis methods including artificial intelligence (AI). This review presents examples of the utility of 3D MRI for knee OA, focusing on the articular cartilage, bone, meniscus, synovium, and infrapatellar fat pad, and it highlights several applications of AI that facilitate segmentation, lesion detection, and disease classification.

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“…A T2-prepared fast-field echo knee scan of a healthy female volunteer (26y) was performed at 3T, using a 16-channel knee coil. The sequence was adapted from Colotti et al [24], modified with selective water excitation, and a segment-time increased from 700 to 800 ms. Fully sampled and CS-VDA (R = 3) data were scanned in an interleaved fashion, for T2-…”

Section: Prospective Undersampling Of In Vivo Human Knee Datamentioning

confidence: 99%

Compressed sensing MRI with variable density averaging (CS-VDA) outperforms full sampling at low SNR

et al. 2020

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We investigated whether a combination of k-space undersampling and variable density averaging enhances image quality for low-SNR MRI acquisitions. We implemented 3D Cartesian k-space prospective undersampling with a variable number of averages for each k-line. The performance of this compressed sensing with variable-density averaging (CS-VDA) method was evaluated in retrospective analysis of fully sampled phantom MRI measurements, as well as for prospectively accelerated in vivo 3D brain and knee MRI scans. Both phantom and in vivo results showed that acquisitions using the CS-VDA approach resulted in better image quality as compared to full sampling of k-space in the same scan time. Specifically, CS-VDA with a higher number of averages in the center of k-space resulted in the best image quality, apparent from increased anatomical detail with preserved soft-tissue contrast. This novel approach will facilitate improved image quality of inherently low SNR data, such as those with high-resolution or specific contrast-weightings with low SNR efficiency.

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Isotropic three‐dimensional T₂ mapping of knee cartilage: Development and validation

Abstract: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:362-371.

Cited by 25 publications

References 44 publications

T₂ Mapping of Patellar Cartilage After a Single First‐Time Episode of Traumatic Lateral Patellar Dislocation

T₂ Mapping of Patellar Cartilage After a Single First‐Time Episode of Traumatic Lateral Patellar Dislocation

3D MRI in Osteoarthritis

Compressed sensing MRI with variable density averaging (CS-VDA) outperforms full sampling at low SNR

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Isotropic three‐dimensional T2 mapping of knee cartilage: Development and validation

Abstract: 1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;47:362-371.

Cited by 25 publications

References 44 publications

T2 Mapping of Patellar Cartilage After a Single First‐Time Episode of Traumatic Lateral Patellar Dislocation

T2 Mapping of Patellar Cartilage After a Single First‐Time Episode of Traumatic Lateral Patellar Dislocation

3D MRI in Osteoarthritis

Compressed sensing MRI with variable density averaging (CS-VDA) outperforms full sampling at low SNR

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Product

Resources

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Isotropic three‐dimensional T₂ mapping of knee cartilage: Development and validation

T₂ Mapping of Patellar Cartilage After a Single First‐Time Episode of Traumatic Lateral Patellar Dislocation

T₂ Mapping of Patellar Cartilage After a Single First‐Time Episode of Traumatic Lateral Patellar Dislocation