scholarly journals Tibial cartilage volume measurement in knee osteoarthritis using magnetic resonance imaging

2017 ◽  
Vol 9 (1) ◽  
pp. 41-47 ◽  
Author(s):  
Varalee Vanichtantikul ◽  
Sarit Hongvilai ◽  
Numphung Numkarunarunrote
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Disease Progression ◽  
Interobserver Reliability ◽  
Cartilage Degeneration ◽  
Volume Measurement ◽  
Cartilage Volume ◽  
Response To Therapy ◽  
Resonance Imaging ◽  
Tibial Cartilage

Abstract Background Cartilage degeneration is considered as the initial defect in osteoarthritis. Measurement of cartilage volume is important to monitor disease progression and therapeutic response. Objectives To measure tibial cartilage volume using magnetic resonance imaging (MRI), and to evaluate the accuracy and interobserver reliability of tibial cartilage volume measurement using MRI. Methods The outline boundaries of the medial and lateral tibial cartilage were drawn manually on 1 mm slices using a track-ball to calculate the volume of each slice. Total calculated MRI-derived tibial cartilage volume was determined by summation of the slice volumes. The calculated tibial cartilage volume was compared to the actual tibial cartilage volume. Results There was a strong correlation between the calculated and actual tibial cartilage volumes determined by a radiologist and a researcher (98% and 89% agreement in medial tibial cartilage, 99% and 97% agreement in lateral tibial cartilage, respectively). High observer reliability was identified (92% agreement in medial tibial cartilage and 97% agreement in lateral tibial cartilage). Conclusion Tibial cartilage volume measurement using MRI can be easily performed by well-trained personnel such as radiologists or residents, and can be used to estimate tibial cartilage volume preoperatively in total knee arthroplasty, and to monitor disease progression and response to therapy.

scholarly journals Clinical validation of the use of prototype software for automatic cartilage segmentation to quantify knee cartilage in volunteers

2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Ping Zhang ◽  
Ran Xu Zhang ◽  
Xiao Shuai Chen ◽  
Xiao Yue Zhou ◽  
Esther Raithel ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Automatic Segmentation ◽  
Cartilage Degeneration ◽  
Cartilage Volume ◽  
Resonance Imaging ◽  
Knee Cartilage ◽  
Dice Coefficient ◽  
Prototype Software ◽  
Manual Correction

Abstract Background The cartilage segmentation algorithms make it possible to accurately evaluate the morphology and degeneration of cartilage. There are some factors (location of cartilage subregions, hydrarthrosis and cartilage degeneration) that may influence the accuracy of segmentation. It is valuable to evaluate and compare the accuracy and clinical value of volume and mean T2* values generated directly from automatic knee cartilage segmentation with those from manually corrected results using prototype software. Method Thirty-two volunteers were recruited, all of whom underwent right knee magnetic resonance imaging examinations. Morphological images were obtained using a three-dimensional (3D) high-resolution Double-Echo in Steady-State (DESS) sequence, and biochemical images were obtained using a two-dimensional T2* mapping sequence. Cartilage score criteria ranged from 0 to 2 and were obtained using the Whole-Organ Magnetic Resonance Imaging Score (WORMS). The femoral, patellar, and tibial cartilages were automatically segmented and divided into subregions using the post-processing prototype software. Afterwards, all the subregions were carefully checked and manual corrections were done where needed. The dice coefficient correlations for each subregion by the automatic segmentation were calculated. Results Cartilage volume after applying the manual correction was significantly lower than automatic segmentation (P < 0.05). The percentages of the cartilage volume change for each subregion after manual correction were all smaller than 5%. In all the subregions, the mean T2* relaxation time within manual corrected subregions was significantly lower than in regions after automatic segmentation (P < 0.05). The average time for the automatic segmentation of the whole knee was around 6 min, while the average time for manual correction of the whole knee was around 27 min. Conclusions Automatic segmentation of cartilage volume has a high dice coefficient correlation and it can provide accurate quantitative information about cartilage efficiently without individual bias. Advances in knowledge: Magnetic resonance imaging is the most promising method to detect structural changes in cartilage tissue. Unfortunately, due to the structure and morphology of the cartilages obtaining accurate segmentations can be problematic. There are some factors (location of cartilage subregions, hydrarthrosis and cartilage degeneration) that may influence segmentation accuracy. We therefore assessed the factors that influence segmentations error.

The Kaplan Fibers of the Iliotibial Band Can Be Identified on Routine Knee Magnetic Resonance Imaging

2019 ◽  
Vol 47 (12) ◽  
pp. 2895-2903 ◽  
Author(s):  
Lachlan Batty ◽  
Jerome Murgier ◽  
Richard O’Sullivan ◽  
Kate E. Webster ◽  
Julian A. Feller ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Sagittal Plane ◽  
Interobserver Reliability ◽  
Joint Line ◽  
Coronal Plane ◽  
Iliotibial Band ◽  
Resonance Imaging ◽  
Lateral Gastrocnemius ◽  
The Mean

Background: The Kaplan fibers (KFs) of the iliotibial band have been suggested to play a role in anterolateral rotational instability of the knee, particularly in the setting of an anterior cruciate ligament (ACL) rupture. Description of the normal magnetic resonance imaging (MRI) anatomy of the KFs may facilitate subsequent investigation into the MRI signs of injury. Purpose: To assess if the KF complex can be identified on 3-T MRI using standard knee protocols. Study Design: Cohort study (diagnosis); Level of evidence, 3. Methods: 3-T MRI scans of 50 ACL-intact knees were reviewed independently by a musculoskeletal radiologist and 2 orthopaedic surgeons. Identification of the KFs was based on radiological diagnostic criteria developed a priori. Identification of the KFs in the sagittal, coronal, and axial planes was recorded. Interobserver reliability was assessed using the Kappa statistic. Detailed anatomy including distance to the joint line and relationship to adjacent structures was recorded. Results: The mean patient age was 43 years (range, 15-81 years), 58% were male, and 50% were right knees. The KFs were identified by at least 2 reviewers on the sagittal images in 96% of cases, on the axial images in 76% of cases, and on the coronal images in 4% of cases. The mean distance from the KF distal femoral insertion to the lateral joint line was 50.1 mm (SD, 6.6 mm) and the mean distance to the lateral gastrocnemius tendon origin was 10.8 mm (SD, 8.6 mm). The KFs were consistently identified immediately anterior to the superior lateral geniculate artery on sagittal imaging. Interobserver reliability for identification was best in the sagittal plane (Kappa 0.5) and worst in the coronal plane (Kappa 0.1). Conclusion: The KF complex can be identified on routine MRI sequences in the ACL-intact knee; however, there is low to moderate interobserver reliability. Imaging in the sagittal plane had the highest rate of identification and the coronal plane the lowest. There is a consistent relationship between the most distal KF femoral attachment and the lateral joint line, lateral gastrocnemius tendon, and superior lateral geniculate artery.

scholarly journals Quantitative assessment of renal structural and functional changes in chronic kidney disease using multi-parametric magnetic resonance imaging

2019 ◽  
Vol 35 (6) ◽  
pp. 955-964 ◽  
Author(s):  
Charlotte E Buchanan ◽  
Huda Mahmoud ◽  
Eleanor F Cox ◽  
Thomas McCulloch ◽  
Benjamin L Prestwich ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Chronic Kidney Disease ◽  
Blood Flow ◽  
Magnetic Resonance ◽  
Kidney Disease ◽  
Renal Artery ◽  
Response To Therapy ◽  
Resonance Imaging ◽  
Artery Flow ◽  
Cortical Perfusion

Abstract Background Multi-parametric magnetic resonance imaging (MRI) provides the potential for a more comprehensive non-invasive assessment of organ structure and function than individual MRI measures, but has not previously been comprehensively evaluated in chronic kidney disease (CKD). Methods We performed multi-parametric renal MRI in persons with CKD (n = 22, 61 ± 24 years) who had a renal biopsy and measured glomerular filtration rate (mGFR), and matched healthy volunteers (HV) (n = 22, 61 ± 25 years). Longitudinal relaxation time (T1), diffusion-weighted imaging, renal blood flow (phase contrast MRI), cortical perfusion (arterial spin labelling) and blood-oxygen-level-dependent relaxation rate (R2*) were evaluated. Results MRI evidenced excellent reproducibility in CKD (coefficient of variation &lt;10%). Significant differences between CKD and HVs included cortical and corticomedullary difference (CMD) in T1, cortical and medullary apparent diffusion coefficient (ADC), renal artery blood flow and cortical perfusion. MRI measures correlated with kidney function in a combined CKD and HV analysis: estimated GFR correlated with cortical T1 (r = −0.68), T1 CMD (r = −0.62), cortical (r = 0.54) and medullary ADC (r = 0.49), renal artery flow (r = 0.78) and cortical perfusion (r = 0.81); log urine protein to creatinine ratio (UPCR) correlated with cortical T1 (r = 0.61), T1 CMD (r = 0.61), cortical (r = −0.45) and medullary ADC (r = −0.49), renal artery flow (r = −0.72) and cortical perfusion (r = −0.58). MRI measures (cortical T1 and ADC, T1 and ADC CMD, cortical perfusion) differed between low/high interstitial fibrosis groups at 30–40% fibrosis threshold. Conclusion Comprehensive multi-parametric MRI is reproducible and correlates well with available measures of renal function and pathology. Larger longitudinal studies are warranted to evaluate its potential to stratify prognosis and response to therapy in CKD.

Comparison of hippocampal volume measurement by autopsy and post-mortem magnetic resonance imaging

2019 ◽  
Vol 16 (1) ◽  
pp. 119-122
Author(s):  
Sissel Lundemose ◽  
Johannes Rødbro Busch ◽  
Morten Møller ◽  
Karl-Erik Jensen ◽  
Niels Lynnerup ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Hippocampal Volume ◽  
Volume Measurement ◽  
Post Mortem ◽  
Resonance Imaging

Magnetic Resonance Imaging T2 Values of Stifle Articular Cartilage in Normal Beagles

2018 ◽  
Vol 31 (02) ◽  
pp. 108-113 ◽  
Author(s):  
Kei Hayashi ◽  
Brian Caserto ◽  
Mary Norman ◽  
Hollis Potter ◽  
Matthew Koff ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Articular Cartilage ◽  
Magnetic Resonance ◽  
Regional Differences ◽  
T2 Mapping ◽  
Resonance Imaging ◽  
Condylar Cartilage ◽  
Tibial Cartilage ◽  
Stifle Joint ◽  
Canine Stifle

Objectives The purpose of this study was to evaluate regional differences of canine stifle articular cartilage using the quantitative magnetic resonance imaging (MRI) technique of T2 mapping. Methods Fourteen stifle joints from seven juvenile male Beagle dogs with no evidence or prior history of pelvic limb lameness were imaged ex vivo using standard of care fast spin echo MRI and quantitative T2 mapping protocols. Regions of interest were compared between the femoral, patellar and tibial cartilages, as well as between the lateral and medial femorotibial compartments. Limbs were processed for histology with standard stains to confirm normal cartilage. Results The average T2 value of femoral trochlear cartilage (37.5 ± 2.3 ms) was significantly prolonged (p < 0.0001) as compared with the femoral condylar, patellar and tibial condylar cartilages (33.1 ± 1.5 ms, 32.8 ± 2.3 ms, and 28.0 ± 1.7 ms, respectively). When comparing medial and lateral condylar compartments, the lateral femoral condylar cartilage had the longest T2 values (34.8 ± 2.8 ms), as compared with the medial femoral condylar cartilage (30.9 ± 1.9 ms) and lateral tibial cartilage (29.1 ± 2.3 ms), while the medial tibial cartilage had the shortest T2 values (26.7 ± 2.4 ms). Clinical Significance As seen in other species, regional differences in T2 values of the canine stifle joint are identified. Understanding normal regions of anticipated prolongation in different joint compartments is needed when using quantitative imaging in models of canine osteoarthritis.

scholarly journals Interobserver reliability of the classification of capitellar osteochondritis dissecans using magnetic resonance imaging

2019 ◽  
Vol 12 (4) ◽  
pp. 284-293 ◽  
Author(s):  
Rens Bexkens ◽  
F. Joseph Simeone ◽  
Denise Eygendaal ◽  
Michel PJ van den Bekerom ◽  
Luke S Oh ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Osteochondritis Dissecans ◽  
Interobserver Agreement ◽  
Interobserver Reliability ◽  
Lateral Wall ◽  
Magnetic Resonance Images ◽  
Resonance Imaging ◽  
Instability Criteria

Aim (1) To determine the interobserver reliability of magnetic resonance classifications and lesion instability criteria for capitellar osteochondritis dissecans lesions and (2) to assess differences in reliability between subgroups. Methods Magnetic resonance images of 20 patients with capitellar osteochondritis dissecans were reviewed by 33 observers, 18 orthopaedic surgeons and 15 musculoskeletal radiologists. Observers were asked to classify the osteochondritis dissecans according to classifications developed by Hepple, Dipaola/Nelson, Itsubo, as well as to apply the lesion instability criteria of DeSmet/Kijowski and Satake. Interobserver agreement was calculated using the multirater kappa (k) coefficient. Results Interobserver agreement ranged from slight to fair: Hepple (k = 0.23); Dipaola/Nelson (k = 0.19); Itsubo (k = 0.18); DeSmet/Kijowksi (k = 0.16); Satake (k = 0.12). When classifications/instability criteria were dichotomized into either a stable or unstable osteochondritis dissecans, there was more agreement for Hepple (k = 0.52; p = .002), Dipaola/Nelson (k = 0.38; p = .015), DeSmet/Kijowski (k = 0.42; p = .001) and Satake (k = 0.41; p < .001). Overall, agreement was not associated with the number of years in practice or the number of osteochondritis dissecans cases encountered per year (p > .05). Conclusion One should be cautious when assigning grades using magnetic resonance classifications for capitellar osteochondritis dissecans. When making treatment decisions, one should rather use relatively simple distinctions (e.g. stable versus unstable osteochondritis dissecans; lateral wall intact versus not intact), as these are more reliable.

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