Effectiveness of 3-dimensional shoulder ultrasound in the diagnosis of rotator cuff tears: A meta-analysis

Three-dimensional sonography has satisfied accuracy for detecting rotator cuff tears

Background

Rotator cuff injuries and tears are common causes of shoulder pain and dysfunction, necessitating accurate diagnostic methods to guide clinical decision-making. This study evaluates the diagnostic utility of three-dimensional (3D) shoulder sonography in identifying rotator cuff injury and tear patterns.

Methods

A comprehensive search across seven electronic databases, which included Cochrane Library, Embase, PubMed, Cochrane Library, China Biology Medicine (CBM) database, CNKI, Wanfang, and VIP database. These databases were utilized to retrieve articles that assess the diagnostic value of 3D shoulder sonography for identifying rotator cuff injuries and tear patterns. The effectiveness of 3D shoulder sonography was assessed in terms of sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR). For each parameter, the 95% confidence intervals were calculated. Additionally, summary receiver operating characteristic curves (SROCs) were constructed, allowing for a comprehensive evaluation of diagnostic accuracy, which is reflected in the area under the SROC curve (AUC).

Results

Screening of 8,508 identified nine literatures eligible for inclusion in the meta-analysis, encompassing a total of 366 patients. The analysis of detecting any rotator cuff tear revealed a sensitivity of 0.97 and specificity of 0.87, yielding a DOR of 90.03 and an AUC of 0.98. Furthermore, 3D shoulder sonography demonstrated satisfactory accuracy in detecting both full and partial-thickness rotator cuff tears (Sensitivity: 0.92 vs. 0.83, specificity: 0.94 vs. 097, and AUC: 0.96 vs. 0.95).

Conclusion

This study indicates that three-dimensional sonography has satisfied accuracy for detecting rotator cuff tears.

Ultrasound Use by Upper Extremity Surgeons in 2020: A Survey of ASSH Members

BACKGROUND

The use of musculoskeletal ultrasound (US) among hand surgeons appears to be increasing. The purpose of this study was to determine the utilization patterns and attitudes regarding US among American Society for Surgery of the Hand (ASSH) members in 2020 as well as the changes in usage patterns since a previous survey in 2015.

METHODS

In 2020, an updated and expanded 27-question survey was distributed to 4852 members of the ASSH. Questions assessed respondent demographics, training, and practice patterns, and access, utilization, training, and opinions pertaining to US.

RESULTS

A total of 418 surveys (8.6%) were analyzed. Compared to 2015, there was an increase in the percentage of respondents using US for diagnostic purposes (51%-68%), as well as having personal access to US machines (43% to 58%). US use to assist in diagnosing carpal tunnel syndrome increased from 19% to 27%. The most common reason for using US was convenience and practice efficiency, while the most common reasons for not using US was no machine access. In 2020, 33% of respondents performed US-guided injections.

CONCLUSIONS

Compared to 2015, the majority of responding upper extremity surgeons now have personal access to US machines. Utilization of diagnostic US appears to be increasing, and two-thirds of respondents believed that US use will continue to increase among upper extremity surgeons.

Detection of the rotator cuff tears using a novel convolutional neural network from magnetic resonance image (MRI)

The rotator cuff tear is a common situation for basketballers, handballers, or other athletes that strongly use their shoulders. This injury can be diagnosed precisely from a magnetic resonance (MR) image. In this paper, a novel deep learning-based framework is proposed to diagnose rotator cuff tear from MRI images of patients suspected of the rotator cuff tear. First, we collected 150 shoulders MRI images from two classes of rotator cuff tear patients and healthy ones with the same numbers. These images were observed by an orthopedic specialist and then tagged and used as input in the various configurations of the Convolutional Neural Network (CNN). At this stage, five different configurations of convolutional networks have been examined. Then, in the next step, the selected network with the highest accuracy is used to extract the deep features and classify the two classes of rotator cuff tear and healthy. Also, MRI images are feed to two quick pre-trained CNNs (MobileNetv2 and SqueezeNet) to compare with the proposed CNN. Finally, the evaluation is performed using the 5-fold cross-validation method. Also, a specific Graphical User Interface (GUI) was designed in the MATLAB environment for simplicity, which allows for testing by detecting the image class. The proposed CNN achieved higher accuracy than the two mentioned pre-trained CNNs. The average accuracy, precision, sensitivity, and specificity achieved by the best selected CNN configuration are equal to 92.67%, 91.13%, 91.75%, and 92.22%, respectively. The deep learning algorithm could accurately rule out significant rotator cuff tear based on shoulder MRI.

Clinical value of three-dimensional ultrasonography in the morphologic evaluation of rotator cuff tear: a prospective study

OBJECTIVE

To study the clinical value of three-dimensional ultrasonography (3D-US) in the morphological evaluation of rotator cuff tears (RCTs).

METHODS

Based on previously published literature, RCT patterns in our study were divided into crescent, L-shaped with the remnant tendon retracted to the anterior rotator cuff (aL-shaped), L-shaped with the remnant tendon retracted to the posterior rotator cuff (pL-shaped), T-shaped (a tear pattern that is a combination of aL-shaped and pL-shaped), U-shaped, and massive type. Two radiologists prospectively assessed the tear patterns using 3D-US as well as magnetic resonance imaging (MRI) and compared these results using arthroscopy to calculate diagnostic accuracy.

RESULT

Fifty-two patients (52 shoulders) were enrolled. The overall diagnostic accuracy of 3D-US in evaluating RCT patterns (82.7%, 43/52; 95% CI: 72.1-93.3%) was significantly higher (p = 0.008) than that of the MRI (57.7%, 31/52; 95% CI: 45.8-73.4%). The accuracy of 3D-US was higher than that of MRI for most types of tears (crescent: 95.0% vs. 55.0%, aL-shaped: 83.3% vs. 77.8%, pL-shaped: 50.0% vs. 25.0%, T-shaped: 75.0% vs. 0.0%, and massive type: 80.0% vs. 100.0%). The accuracies of 3D-US with respect to evaluation by the two radiologists were 84.6% (44/52) and 76.9% (40/52), and there was substantial agreement evident (κ = 0.709). The time taken by the two radiologists to reconstruct the 3D-US images and evaluate the tear pattern was < 5 min.

CONCLUSION

The 3D-US can be used for the preoperative evaluation of RCT patterns, and thus be useful for the correct selection of the surgical repair technique for RCTs.

KEY POINTS

• Few studies have been found exploring the value of 3D-US for the morphological evaluation of RCTs and correlated with the arthroscopic findings. • Based on previous studies on the morphological classification, anterior L shape (aL-shaped), and posterior L shape (pL-shaped) were used for the first time to describe the torn patterns of RCT.

Application of Preoperative Ultrasonography in the Percutaneous Minimally Invasive Repair of Acute Closed Achilles Tendon Rupture

Percutaneous minimally invasive surgery involving Achilles tendon (AT) repair has the advantages of a low rerupture rate and fewer postoperative complications. However, due to the inability to operate under direct vision, the injury of the small saphenous vein (SSV) and sural nerve (SN) remains largely a high risk involving many challenges. We propose to introduce the preoperative application and advantages of ultrasonography in percutaneous minimally invasive surgery for acute AT rupture. Our results indicated that ultrasonography could locate the position of the SN more accurately and reduce the risk of iatrogenic nerve injury. Compared with the traditional surface markers, the preoperative localization and marking of AT, SSV, and SN in ultrasonography significantly reduced the risk of intraoperative accidental injury to blood vessels and nerves, which could reduce postoperative complications and promote early rehabilitation of patients. We ultimately exploit the properties of ultrasonography in percutaneous minimally invasive surgery to treat Achilles tendon rupture.

Efficacy Evaluation of Ultrasound with Active Contour Model for Hemodialysis in Children with Renal Failure

This study was aimed to explore the efficacy of ultrasound with active contour model (ACM) for hemodialysis in children with renal failure. The pulse coupled neural network (PCNN) was used to extract the initial contour of the ultrasound images, and the cloud model-based ACM was used to accurately segment the images, whose effect was compared with the classic Snake model. 84 children with chronic renal failure who received hemodialysis treatment in hospital were selected as research objects. There were 42 cases in the control group who were diagnosed by conventional ultrasound and 42 cases in the observation group who were diagnosed by ultrasound with the algorithm. Then, 42 children who underwent healthy physical examination (health group) were selected for comparison of related analysis indicators. The error rates of different algorithms were compared to analyze the levels of inflammatory factors in different groups of patients after hemodialysis. The results showed that the error rate of classical Snake model was 18.87% and that of ACM algorithm model was 11.01%, and the error rate of ACM algorithm model was significantly lower ( $P<0.05$ ). After hemodialysis, the level of tumor necrosis factor (TNF)-α was 38.76 pg/mL in the observation group and 40.05 pg/mL in the control group, which was notably decreased in both groups, especially in the observation group ( $P<0.05$ ). After hemodialysis, transforming growth factor (TGF)-β1 was 7.76 ng/mL in the observation group and 7.60 ng/mL in the control group, which was significantly reduced in both groups. After treatment, UA and Scr in both groups were significantly reduced, and the reduction was more significant in the observation group ( $P<0.05$ ). HGB and RBC were significantly increased in both groups, and the increase was more significant in the observation group ( $P<0.05$ ). In summary, ACM algorithm had a good segmentation effect on the ultrasonic images of children with renal failure. This study provided guidance for clinicians to choose the algorithm for the application of ultrasonic imaging diagnosis.

MRA improves sensitivity than MRI for the articular-sided partial-thickness rotator cuff tears

BACKGROUND

This study aims to compare the diagnostic accuracy of magnetic resonance imaging (MRI) and MR arthrography (MRA) for the articular-sided partial-thickness rotator cuff tear (PTRCT).

METHODS

Three electronic databases, PubMed/Medline, Embase and Cochrane Library, were utilized to retrieve articles comparing the diagnostic value of MRA and MRI for detecting articular-sided PTRCTs. The pooled statistical indexes included sensitivity, specificity, positive/negative predictive value, diagnostic odds ratio (DOR) and the area under the receiver operating characteristic curve (AUC).

RESULTS

Eleven studies involving 1703 patients and 1704 shoulders were included. The pooled sensitivity, specificity, DOR and AUC and their 95% CIs of MRA to diagnose articular-sided PTRCTs were 0.81 (95% CI, 0.65-0.90), 0.96 (95% CI, 0.91-0.98), 68.14 (95% CI, 33.20-139.84) and 0.96 (95% CI, 0.94-0.97), respectively. The pooled sensitivity, specificity, DOR and AUC and their 95% CIs of MRI were 0.78 (95% CI, 0.65-0.87) and 0.97 (95% CI, 0.84-0.99), 47.82 (95% CI, 8.29-275.89) and 0.89 (95% CI, 0.86-0.92), respectively.

CONCLUSIONS

This meta-analysis reveals that MRA has a better diagnostic value than that of MRI for the diagnosis of articular-sided partial-thickness rotator cuff tears because of an improvement of sensitivity.

Shoulder ultrasound: current concepts and future perspectives

Ultrasonography is an established and effective imaging technique that can be used to evaluate articular and periarticular structures around the shoulder. It has been shown to be useful in a wide range of rotator cuff diseases (e.g. tendon tears, rotator cuff calcific tendinopathy and bursitis) as well as non-rotator cuff abnormalities (instability, synovial joint diseases and nerve entrapment syndrome). A scanning protocol is highly recommended to reduce the rate of operators’ errors by following a standardized scheme including a list of main structures. Shoulder ultrasound has several advantages: it is a relatively cheap and widely available technique, free from ionizing radiation, that can reach excellent diagnostic accuracy even compared to magnetic resonance imaging. Moreover, it is the only imaging technique that allows dynamic evaluation of musculoskeletal structures, which is important for the evaluation of impingement. Also, due to the shoulder’s superficial anatomical position, ultrasound can also be helpful in guiding interventional percutaneous procedures, both for diagnostic (e.g. magnetic resonance arthrography) and therapeutic purposes (e.g. percutaneous treatment of calcific tendonitis). Contrast-enhanced ultrasound and speckle tracking offer complimentary evaluations of shoulder anatomy and biomechanics. Moreover, the advent of ultra-high-frequency US, with probes up to 70 MHz allowing for a resolution as low as 30 μm, is a promising tool for further evaluation of the shoulder anatomy, and diagnostic and therapeutic strategies.

Determining the rate of full-thickness progression in partial-thickness rotator cuff tears: a systematic review

BACKGROUND

Partial-thickness rotator cuff tears are likely at least as common as full-thickness rotator cuff tears, and it is critical for surgeons to have knowledge of the tear progression rate of partial-thickness rotator cuff tears when determining surgical or nonsurgical treatment. However, a systematic review investigating the rate of tear progression of partial-thickness rotator cuff tears has not been performed. Therefore, the purpose of this study was to systematically review the literature and determine the rate of full-thickness progression in nonoperatively treated partial-thickness rotator cuff tears.

METHODS

A systematic review of the literature was performed following the PRISMA guidelines and checklist using the PubMed, MEDLINE, and Cochrane Library databases. English-language studies of Level I through IV evidence examining partial-thickness rotator cuff tears with description of the change in tear size were included. Studies using imaging modalities other than magnetic resonance imaging (MRI) or ultrasonography (US) for serial imaging and studies without description of the number of tears that progressed to full-thickness tears were excluded. The primary outcome was to determine the per-month progression rate from a partial-thickness tear to a full-thickness tear confirmed on either MRI or US. The progression rates, which were divided into 3 groups-symptomatic, asymptomatic and combined (asymptomatic + symptomatic)-were calculated using a random effects model with binomial within-study variance.

RESULTS

Four studies were included, and 257 tears were analyzed statistically for tear progression. The average follow-up was 34 months (standard deviation, 19 months). The overall rate of progression to a full-thickness tear was 0.26% per month (95% confidence interval [CI], 0.15%-0.36% per month). In the symptomatic and asymptomatic groups, the rates were 0.22% per month (95% CI, 0.09%-0.34% per month) and 0.32% per month (95% CI, 0.15%-0.49% per month), respectively, which showed no significant difference (P =.341).

CONCLUSIONS

This study demonstrated that partial-thickness tears progress to full-thickness tears over time but at a relatively low rate at short- to intermediate-term follow-up. There was no significant difference in the per-month rates of full-thickness progression between symptomatic and asymptomatic tears.

Evaluation of Diagnostic Precision of Ultrasound for Rotator Cuff Disorders in Patients with Shoulder Pain

Background

Rotator cuff disorders are a leading cause of shoulder symptoms. Accurate imaging, detecting the type of the involved muscle, and severity of the injury have important effects on the choice of treatment. Accordingly, the current study was conducted to evaluate the diagnostic accuracy of ultrasound for rotator cuff disorders in patients suffering from shoulder pain and to explore the precision of ultrasound in determining the exact dimensions of a tear in comparison with magnetic resonance imaging (MRI).

Methods

This prospective research was performed on patients clinically suspected of rotator cuff tendinopathy. An ultrasound of the shoulder was initially performed for the candidates. In this study, MRI was regarded as the modality of choice for examining the images of shoulder disorders. The European Society of Musculoskeletal Radiology (ESSR) guidelines were used to design the protocols and implement imaging measures. Based on the reference standard of MRI, the specificity and sensitivity as well as positive and negative predictive values of ultrasound in detection of rotator cuff disorders were calculated.

Results

A total of48 patients (22 women, 23 dominant right hands) with an average age of 51.6±8.3 years were enrolled in this study. Based on MRI findings, rotator cuff disorders were detected in 43 patients (89.5%). The most commonly observed disorders were partial-thickness rotator cuff tear (n=17, 35.4%), full-thickness rotator cuff tear (n=16, 33.3%), and tendinopathy (n=10, 20.8%). Among rotator cuff disorders, the highest sensitivity of ultrasound was observed in the detection of full-thickness tear (93.7%) and rotator cuff tendinopathy (90%). The highest specificity was found in the detection of full-thickness rotator cuff tear (100%) and partial-thickness rotator cuff tear (96.7%).

Conclusion

Based on our findings, ultrasound could be considered as a high-quality diagnostic tool to rule in partial and full-thickness rotator cuff tears and rule out the rotator cuff pathologies.

Surgical or nonsurgical treatment for nontraumatic rotator cuff tears: Study protocol clinical trial

BACKGROUND

The optimal treatment for symptomatic, nontraumatic rotator cuff tear is unknown. The primary aim of this randomized controlled trial is to compare functional improvement after surgical and conservative treatment of nontraumatic rotator cuff tears.

METHODS

This is a single-centre, randomized clinical trial with a follow-up of 12 months. Patients older than 18 years with magnetic resonance imaging - confirmed nontraumatic rotator cuff tears that are suitable for either surgery or nonsurgery treatment is enrolled. The primary outcome is Constant score. Secondary outcome measures include visual analog scale (VAS) score, patient satisfaction, and American Shoulder and Elbow Surgeons (ASES) score. All scores are assessed by an independent observer who is blinded to the allocation of groups.

RESULTS

The study will provide much needed data on surgical vs nonsurgical treatment for nontraumatic rotator cuff tears. Results of this study may help patients, clinicians, and policy makers assess the pivotal question on comparative effectiveness of surgery vs nonsurgical for rotator cuff tears.

TRIAL REGISTRATION

This study protocol was registered in Research Registry (researchregistry5442).

Comparison of MRI and MRA for the diagnosis of rotator cuff tears: A meta-analysis

BACKGROUND

Numerous quantitatively based studies measuring the accuracy of MRI and MRA for the diagnosis of rotator cuff tears remain inconclusive. In order to compare the accuracy of MRI with MRA in detection of rotator cuff tears a meta-analysis was performed systematically.

METHODS

PubMed/Medline and Embase were utilized to retrieve articles comparing the diagnostic performance of MRI and MRA for use in detecting rotator cuff tears. After screening and diluting out the articles that met inclusion criteria to be used for statistical analysis the pooled evaluation indexes including sensitivity and specificity as well as hierarchical summary receiver operating characteristic (HSROC) curves with 95% confidence interval (CI) were calculated.

RESULTS

Screening determined that 12 studies involving a total of 1030 patients and 1032 shoulders were deemed viable for inclusion in the meta-analysis. The results of the analysis showed that MRA has a higher sensitivity and specificity than MRI for the detection of any tear; similar results were observed in the detection of full-thickness tears. However, for the detection of partial-thickness tear, MRI has similar performance with MRA.

CONCLUSION

MRI is recommended to be a first-choice imaging modality for the detection of rotator cuff tears. Although MRA have a higher sensitivity and specificity, it cannot replace MRI after the comprehensive consideration of accuracy and practicality.

Detecting Rotator Cuff Tears: A Network Meta-analysis of 144 Diagnostic Studies

BACKGROUND

Many imaging techniques have been developed for the detection of rotator cuff tears (RCTs). Despite numerous quantitative diagnostic studies, their relative accuracy remains inconclusive.

PURPOSE

To determine which of 3 commonly used imaging modalities is optimal for the diagnosis of RCTs.

STUDY DESIGN

Systematic review; Level of evidence, 4.

METHODS

Studies evaluating the performance of magnetic resonance imaging (MRI), magnetic resonance arthrography (MRA), and ultrasound (US) used in the detection of RCTs were retrieved from the PubMed/MEDLINE and Embase databases. Diagnostic data were extracted from articles that met the inclusion/exclusion criteria. A network meta-analysis was performed using an arm-based model to pool the absolute sensitivity and specificity, relative sensitivity and specificity, and diagnostic odds ratio as well as the superiority index for ranking the probability of these techniques.

RESULTS

A total of 144 studies involving 14,059 patients (14,212 shoulders) were included in this network meta-analysis. For the detection of full-thickness (FT) tears, partial-thickness (PT) tears, or any tear, MRA had the highest sensitivity, specificity, and superiority index. For the detection of any tear, MRI had better performance than US (sensitivity: 0.84 vs 0.81, specificity: 0.86 vs 0.82, and superiority index: 0.98 vs 0.22, respectively). With regard to FT tears, MRI had a higher sensitivity and superiority index than US (0.91 vs 0.87 and 0.67 vs 0.28, respectively) and a similar specificity (0.88 vs 0.88, respectively). The results for PT tears were similar to the detection of FT tears. A sensitivity analysis was performed by removing studies involving only 1 arm for FT tears, PT tears, or any tear, and the results remained stable.

CONCLUSION

This network meta-analysis of diagnostic tests revealed that high-field MRA had the highest diagnostic value for detecting any tear, followed by low-field MRA, high-field MRI, high-frequency US, low-field MRI, and low-frequency US. These findings can help guide clinicians in deciding on the appropriate imaging modality.

Diagnostic accuracy of MRA and MRI for the bursal-sided partial-thickness rotator cuff tears: a meta-analysis

BACKGROUND

Numerous quantitatively studies have focused on the diagnosis of bursal-sided partial-thickness rotator cuff tears (RCTs); however, the accuracy of magnetic resonance imaging (MRI) and MR arthrography (MRA) remains inconclusive. This study was performed systematically to compare the diagnostic value of MRA and MRI for the bursal-sided partial-thickness RCTs.

METHODS

Three electronic databases, PubMed, Embase, and Cochrane Library, were utilized to retrieve articles comparing the diagnostic value of MRA and MRI for detecting bursal-sided partial-thickness RCTs. After screening and diluting out the articles that met the inclusion criteria to be used for statistical analysis, the pooled evaluation indexes include sensitivity, specificity, positive and negative predictive values, diagnostic odds ratio (DOR), and the area under the receiver operating characteristic curve (AUC).

RESULTS

Twelve studies involving 1740 patients and 1741 shoulders were identified. The pooled sensitivity, specificity, DOR, and AUC of MRA to diagnose bursal-sided partial-thickness RCTs were 0.77 (95% CI, 0.67-0.85), 0.98 (95% CI, 0.95-0.99), 73.01 (95% CI, 35.01-152.26), and 0.88 (95% CI, 0.85-0.91), respectively. The pooled sensitivity, specificity, DOR, and AUC of MRI were 0.77 (95% CI, 0.66-0.86) and 0.96 (95% CI, 0.81-0.99), and 37.12 (95% CI, 8.08-170.64) and 0.82 (95% CI, 0.78-0.85), respectively.

CONCLUSIONS

This meta-analysis reveals that MRA and MRI have similar diagnostic value for the diagnosis of bursal-sided partial-thickness rotator cuff tears.