Background: Quantitative ultrashort echo time–T2* (UTE-T2*) mapping shows promise for the detection of potential tendon biochemical conditions, while validation against established clinical studies in the shoulder is needed. Purpose: To evaluate and characterize the healing process of the repaired rotator cuff based on longitudinal changes in UTE-T2* values, clinical outcomes, and repair status in patients after arthroscopic rotator cuff repair (ARCR). Study Design: Cohort study; Level of evidence, 2. Methods: Patients with ARCR (n = 25) underwent quantitative MRI and clinical examinations at serial follow-up time points: 3, 6, 12, and 24 months postoperatively. Age-matched healthy controls (n = 15) were evaluated at 3 and 12 months after enrollment. Clinical scores included the Constant, American Shoulder and Elbow Surgeons, and Fudan University Shoulder score, and visual analog scale for pain. The MRI examination included UTE-T2*mapping. UTE-T2* maps were generated for T2* values at the healing site. Sugaya classification was adopted to evaluate the repair status. Longitudinal analyses of clinical outcomes, UTE-T2* changes, and Sugaya classification were conducted. Results: The overall retear rate was 8% (2/25, all Sugaya type IV). All patients (including the ones with retear) achieved satisfactory outcomes at 12 months that lasted to 24 months on the basis of clinical scores. The mean UTE-T2* values at the healing site showed an increase from 3 to 6 months ( P = .03) and then decreased to a level similar to that observed in age-matched healthy tendons at 12 months ( P = .1). No significant differences were found between UTE-T2* values at 12 and 24 months ( P = .6). UTE-T2* values at the healing site significantly varied with the repair status according to Sugaya classification ( P < .05). Moreover, significant correlations were noted between clinical scores and UTE-T2* values at 6 months ( r = −0.6 to −0.3; all P < .05) and 12 months ( r = −0.6 to −0.2; all P < .05). Conclusion: This study indicated a healing-related relationship between clinical outcomes and quantitative UTE-T2* values, which highlights the potential of using UTE-T2* mapping to track the tendon-healing process noninvasively. Moreover, the repaired tendon was comparable to age-matched healthy controls at 12-month follow-up based on UTE-T2* values.
Background: After a rotator cuff (RC) is repaired, its signal intensity (SI) on magnetic resonance imaging (MRI) gradually changes to normal and could reflect the degree of RC healing. Nevertheless, it remains unclear how long it takes for SI to recover to normal and whether the SI progression correlates with clinical outcomes after RC repair (RCR). Purpose: To serially evaluate the SIs of the repaired RC tendon on MRI and the postoperative clinical outcomes and then analyze the correlation between them. Study Design: Case series; Level of evidence, 4. Methods: This study prospectively included 25 patients who underwent arthroscopic RCR with the suture-bridge technique between June 2016 and July 2017. Twenty-three patients accepted full follow-ups at 1, 3, 6, 9, and 12 months. Before surgery and at each follow-up, visual analog scale (VAS) for pain and 4 functional scores were evaluated: Constant-Murley score, American Shoulder and Elbow Surgeons shoulder evaluation form, modified University of California at Los Angeles score, and Fudan University shoulder score. The patients underwent MRI examinations at every follow-up. The values of the signal/noise quotient at the distal (SNQd) and proximal (SNQp) areas were calculated to evaluate the SI of the repaired tendon. The correlations of clinical outcomes with SNQd and SNQp values were analyzed, and subgroup analyses were performed. Results: Overall, the mean postoperative VAS score significantly decreased at postoperative 1 month ( P < .001), and the functional scores were all significantly higher than the preoperative values at 6 months (all P < .001). SNQd and SNQp values were both significantly higher than normal at 1 and 3 months (all P < .001) and reduced to normal after 9 and 6 months, respectively. Correlation analyses showed that the SNQp value significantly correlated with VAS score (positive) and all functional scores (negative) at 1 and 3 months postoperatively. Further comparison indicated that the patients with VAS score >3 had higher SNQp values than patients with VAS score ≤3 at 1 and 3 months postoperatively (both P = .01). Conclusion: After RCR with the suture-bridge technique, it took longer for SI to become relatively normal than it did to have a significant clinical improvement. Early after surgery (1-3 months), worse clinical outcome correlated with higher SI on proximal cuff tendon.
Objectives. To introduce a new implementation of radiomics analysis for cartilage and subchondral bone of the knee and to compare the performance of the proposed models to classic T2 relaxation time in distinguishing knees predisposed to posttraumatic osteoarthritis (PTOA) after anterior cruciate ligament reconstruction (ACLR) and healthy controls. Methods. 114 patients following ACLR after at least 2 years and 43 healthy controls were reviewed and allocated to training ( n = 110 ) and testing ( n = 47 ) cohorts. Radiomics models are built for cartilage and subchondral bone regions of different compartments: lateral femur (LF), lateral tibia (LT), medial femur (MF), and medial tibia (MT) and combined models of four compartments on T2 mapping images. The model performance of discrimination between patients and controls was illustrated with the receiver operating characteristic curve and compared with a classic T2 value-based model. Results. The T2 value model of cartilage yielded moderate predictive performance in discerning patients and controls, with an AUC of 0.731 (95% confidence interval, 0.556–0.875) in the testing cohort, while the radiomics signature of cartilage and subchondral bone of different compartments demonstrated excellent performance, with AUCs of 0.864–0.979. Furthermore, the combined model reported an even better performance, with AUCs of 0.977 (95% confidence interval, 0.919–1.000) for the cartilage and 0.934 (95% confidence interval, 0.865–0.994) for the subchondral bone in the testing cohort. Conclusion. The radiomics features of the cartilage and subchondral bone may be able to provide powerful tools with more sensitive detection than T2 values in differentiating knees at risk for PTOA after ACLR from healthy knees.
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