scholarly journals T2* mapping and subregion analysis of the tibialis posterior tendon using 3 Tesla magnetic resonance imaging

2019 ◽  
Vol 92 (1104) ◽  
pp. 20190221
Author(s):  
Carly Anne Lockard ◽  
Angela Chang ◽  
Thomas O Clanton ◽  
Charles P Ho

Objective: Early detection of tibialis posterior tendon changes and appropriate intervention is necessary to prevent disease progression to flat-foot deformity and foot/ankle dysfunction, and the need for operative treatment. Currently, differentiating between early-stage tibialis posterior tendon deficiency patients who will benefit from conservative vs more aggressive treatment is challenging. The objective of this work was to establish a quantitative MRI T2* mapping method and subregion baseline values in the tibialis posterior tendon in asymptomatic ankles for future clinical application in detecting tendon degeneration. Methods: 26 asymptomatic volunteers underwent T2* mapping. The tendon was divided axially into seven subregions. Summary statistics for T2* within each subregion were calculated and compared using Tukey post-hoc pairwise comparisons. Results: Results are reported for 24 subjects. The mean tibialis posterior tendon T2* was 7 ± 1 ms. Subregion values ranged from 6 ± 1 to 9 ± 2 ms with significant between-region differences in T2*. Inter- and intrarater absolute agreement intraclass correlation coefficient (ICC) values were all "excellent" (0.75 < ICC=1.00) except for regions 5 through 7, which had "fair to good" interrater and/or and intrarater ICC values (0.4 < ICC=0.75). Conclusion: A tibialis posterior tendon T2* mapping protocol, subregion division method, and baseline T2* values for clinically relevant regions were established. Significant differences in T2* were observed along the tendon length. Advances in knowledge: This work demonstrates that regional variation exists and should be considered for future T2*-based research on posterior tibias tendon degeneration and when using T2* mapping to evaluate for potential tibialis posterior tendon degeneration.

2008 ◽  
Vol 14 (2) ◽  
pp. 89-95 ◽  
Author(s):  
M. Tryfonidis ◽  
W. Jackson ◽  
R. Mansour ◽  
P.H. Cooke ◽  
J. Teh ◽  
...  

1988 ◽  
Vol 31 (3) ◽  
pp. 441-446 ◽  
Author(s):  
Daniel J. Downey ◽  
Peter A. Simkin ◽  
Laurence A. Mack ◽  
Michael L. Richardson ◽  
Ray F. Kilcoyne ◽  
...  

2017 ◽  
Vol 139 (11) ◽  
Author(s):  
Mary H. Foltz ◽  
Craig C. Kage ◽  
Casey P. Johnson ◽  
Arin M. Ellingson

Intervertebral disc degeneration is a prevalent phenomenon associated with back pain. It is of critical clinical interest to discriminate disc health and identify early stages of degeneration. Traditional clinical T2-weighted magnetic resonance imaging (MRI), assessed using the Pfirrmann classification system, is subjective and fails to adequately capture initial degenerative changes. Emerging quantitative MRI techniques offer a solution. Specifically, T2* mapping images water mobility in the macromolecular network, and our preliminary ex vivo work shows high predictability of the disc's glycosaminoglycan content (s-GAG) and residual mechanics. The present study expands upon this work to predict the biochemical and biomechanical properties in vivo and assess their relationship with both age and Pfirrmann grade. Eleven asymptomatic subjects (range: 18–62 yrs) were enrolled and imaged using a 3T MRI scanner. T2-weighted images (Pfirrmann grade) and quantitative T2* maps (predict s-GAG and residual stress) were acquired. Surface maps based on the distribution of these properties were generated and integrated to quantify the surface volume. Correlational analyses were conducted to establish the relationship between each metric of disc health derived from the quantitative T2* maps with both age and Pfirrmann grade, where an inverse trend was observed. Furthermore, the nucleus pulposus (NP) signal in conjunction with volumetric surface maps provided the ability to discern differences during initial stages of disc degeneration. This study highlights the ability of T2* mapping to noninvasively assess the s-GAG content, residual stress, and distributions throughout the entire disc, which may provide a powerful diagnostic tool for disc health assessment.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Hasan Banitalebi ◽  
Christian Owesen ◽  
Asbjørn Årøen ◽  
Hang Thi Tran ◽  
Tor Åge Myklebust ◽  
...  

Abstract Purpose To evaluate the effect of imaging plane and experience of observers on the reliability of T2 mapping of native and repair cartilage tissue of the knee. Methods Fifteen consecutive patients from two randomised controlled trials (RCTs) were included in this cross-sectional study. Patients with an isolated knee cartilage lesion were randomised to receive either debridement or microfracture (RCT 1) or debridement or autologous chondrocyte implantation (RCT 2). T2 mapping was performed in coronal and sagittal planes two years postoperatively. A musculoskeletal radiologist, a resident of radiology and two orthopaedic surgeons measured the T2 values independently. Intraclass Correlation Coefficient (ICC) with 95% Confidence Intervals was used to calculate the inter- and intraobserver agreement. Results Mean age for the patients was 36.8 ± 11 years, 8 (53%) were men. The overall interobserver agreement varied from poor to good with ICCs in the range of 0.27– 0.76 for native cartilage and 0.00 – 0.90 for repair tissue. The lowest agreement was achieved for evaluations of repair cartilage tissue. The estimated ICCs suggested higher inter- and intraobserver agreement for radiologists. On medial femoral condyles, T2 values were higher for native cartilage on coronal images (p < 0.001) and for repair tissue on sagittal images (p < 0.001). Conclusions The reliability of T2 mapping of articular cartilage is influenced by the imaging plane and the experience of the observers. This influence may be more profound for repair cartilage tissue. This is important to consider when using T2 mapping to measure outcomes after cartilage repair surgery. Trial registration ClinicalTrials.gov, NCT02637505 and NCT02636881, registered December 2015. Level of evidence II, based on prospective data from two RCTs.


Author(s):  
Giulio Rizzo ◽  
Alessandro Cristoforetti ◽  
Alessandro Marinetti ◽  
Marta Rigoni ◽  
Leonardo Puddu ◽  
...  

Life ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 201
Author(s):  
Marc Sebastian Huppertz ◽  
Justus Schock ◽  
Karl Ludger Radke ◽  
Daniel Benjamin Abrar ◽  
Manuel Post ◽  
...  

Background: Traumatic cartilage injuries predispose articulating joints to focal cartilage defects and, eventually, posttraumatic osteoarthritis. Current clinical-standard imaging modalities such as morphologic MRI fail to reliably detect cartilage trauma and to monitor associated posttraumatic degenerative changes with oftentimes severe prognostic implications. Quantitative MRI techniques such as T2 mapping are promising in detecting and monitoring such changes yet lack sufficient validation in controlled basic research contexts. Material and Methods: 35 macroscopically intact cartilage samples obtained from total joint replacements were exposed to standardized injurious impaction with low (0.49 J, n = 14) or high (0.98 J, n = 14) energy levels and imaged before and immediately, 24 h, and 72 h after impaction by T2 mapping. Contrast, homogeneity, energy, and variance were quantified as features of texture on each T2 map. Unimpacted controls (n = 7) and histologic assessment served as reference. Results: As a function of impaction energy and time, absolute T2 values, contrast, and variance were significantly increased, while homogeneity and energy were significantly decreased. Conclusion: T2 mapping and texture feature analysis are sensitive diagnostic means to detect and monitor traumatic impaction injuries of cartilage and associated posttraumatic degenerative changes and may be used to assess cartilage after trauma to identify “cartilage at risk”.


2019 ◽  
Vol 90 (6) ◽  
pp. 624-625
Author(s):  
Thomas Amouyel ◽  
Baptiste Benazech ◽  
Marc Saab ◽  
Nadine Sturbois-Nachef ◽  
Carlos Maynou ◽  
...  

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