Adam W Anz1, Erin P Lucas2, Eric K Fitzcharles3, Rachel K Surowiec4, Peter J Millett5, Charles P Ho6. 1. The Steadman Clinic, Vail, CO, United States. Electronic address: anz.adam.w@gmail.com. 2. Steadman Philippon Research Institute, Vail, CO, United States. Electronic address: erin.lucas14@gmail.com. 3. Steadman Philippon Research Institute, Vail, CO, United States. Electronic address: ericfitzcharles@gmail.com. 4. Steadman Philippon Research Institute, Vail, CO, United States. Electronic address: Rachel.surowiec@sprivail.org. 5. The Steadman Clinic, Vail, CO, United States. Electronic address: drmillett@thesteadmanclinic.com. 6. Steadman Philippon Research Institute, Vail, CO, United States. Electronic address: Charles.ho@sprivail.org.
Abstract
PURPOSE: Diagnosis of partial rotator cuff tears and tendonopathy using conventional MRI has proven variable. Quantitative T2 mapping may have application for assessing rotator cuff health. In order to evaluate the usefulness of T2 mapping for the rotator cuff, methods must be refined for mapping the supraspinatus tendon, and normative T2 values must first be acquired. MATERIALS AND METHODS: This study was IRB approved. Thirty asymptomatic volunteers (age: 18-62) were evaluated with sagittal and coronal T2 mapping sequences. Manual segmentation of tendon and muscle as a unit and tendon alone was performed twice by two independent raters. Segmentations were divided into medial, middle and lateral subregions and mean T2 values calculated. RESULTS: Anatomic comparison of mean T2 values illustrated highest values in the medial region, lowest values in the lateral region, and intermediate values for the middle region upon coronal segmentation (p<0.001). In sagittal segmentations, there were higher values in the medial region and no significant differences between the lateral and middle subregions. No significant differences were found with comparison across age groups. Inter and intra-rater segmentation repeatability was excellent, with coefficients ranging from 0.85 to 0.99. CONCLUSION: T2 mapping illustrated anatomic variation along the supraspinatus muscle-tendon unit with low standard deviations and excellent repeatability, suggesting that changes in structure due to degeneration or changes associated with healing after repair may be detectable.
PURPOSE: Diagnosis of partial rotator cuff tears and tendonopathy using conventional MRI has proven variable. Quantitative T2 mapping may have application for assessing rotator cuff health. In order to evaluate the usefulness of T2 mapping for the rotator cuff, methods must be refined for mapping the supraspinatus tendon, and normative T2 values must first be acquired. MATERIALS AND METHODS: This study was IRB approved. Thirty asymptomatic volunteers (age: 18-62) were evaluated with sagittal and coronal T2 mapping sequences. Manual segmentation of tendon and muscle as a unit and tendon alone was performed twice by two independent raters. Segmentations were divided into medial, middle and lateral subregions and mean T2 values calculated. RESULTS: Anatomic comparison of mean T2 values illustrated highest values in the medial region, lowest values in the lateral region, and intermediate values for the middle region upon coronal segmentation (p<0.001). In sagittal segmentations, there were higher values in the medial region and no significant differences between the lateral and middle subregions. No significant differences were found with comparison across age groups. Inter and intra-rater segmentation repeatability was excellent, with coefficients ranging from 0.85 to 0.99. CONCLUSION: T2 mapping illustrated anatomic variation along the supraspinatus muscle-tendon unit with low standard deviations and excellent repeatability, suggesting that changes in structure due to degeneration or changes associated with healing after repair may be detectable.
Authors: Konstantin Krepkin; Mary Bruno; José G Raya; Ronald S Adler; Soterios Gyftopoulos Journal: Skeletal Radiol Date: 2016-11-28 Impact factor: 2.199
Authors: Adam W Anz; Jos Edison; Thomas S Denney; Eric A Branch; Christopher R Walz; Kenny V Brock; Michael D Goodlett Journal: Skeletal Radiol Date: 2019-09-03 Impact factor: 2.199
Authors: Edmund Ganal; Charles P Ho; Katharine J Wilson; Rachel K Surowiec; W Sean Smith; Grant J Dornan; Peter J Millett Journal: Knee Surg Sports Traumatol Arthrosc Date: 2015-03-05 Impact factor: 4.342
Authors: Carly A Lockard; Katharine J Wilson; Charles P Ho; Richard C Shin; J Christoph Katthagen; Peter J Millett Journal: Skeletal Radiol Date: 2017-12-01 Impact factor: 2.199
Authors: Tan Guo; Ya-Jun Ma; Rachel A High; Qingbo Tang; Jonathan H Wong; Michal Byra; Adam C Searleman; Sarah C To; Lidi Wan; Nicole Le; Jiang Du; Eric Y Chang Journal: Eur J Radiol Date: 2019-10-17 Impact factor: 3.528
Authors: Guy Trudel; Samuel Duchesne-Bélanger; Justin Thomas; Gerd Melkus; Greg O Cron; Peder E Z Larson; Mark Schweitzer; Adnan Sheikh; Hakim Louati; Odette Laneuville Journal: Quant Imaging Med Surg Date: 2021-08