Accuracy of MRI in diagnosing intra-articular pathology of the long head of the biceps tendon: results with a large cohort of patients

Kim, Jung Youn; Rhee, Sung Min; Rhee, Yong Girl

doi:10.1186/s12891-019-2654-5

Cited by 23 publications

(22 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Third, this 3D representation of the tendon border allowed simple integration of multiple perspectives and provided characterization of the boundary as a whole, such as margin distribution and intensity distribution, to differentiate between grades of LTs. These results are in agreement with Kim et al., 34 which showed that combining at least two positive diagnostic criteria to detect a tendon tear lesion yielded the most balanced results for all parameters and enhanced MRI diagnostic accuracy. Different features give complementary information based on the distinct perspectives through which the shape is parameterized 38 …”

Section: Discussionsupporting

confidence: 92%

“…It becomes increasingly difficult in the presence of partial tears. 15,30,33,34 Thus, the central goal of this study was to use ML methods as a systematic approach to mine and quantify MRI imaging features to characterize and classify different grades of LTs of DDFT in horses.…”

Section: Discussionmentioning

confidence: 99%

“…These results may be explained by the fact that the interpretation of images is largely descriptive, subjective, and nonquantitative for tendon morphology and signal change. It becomes increasingly difficult in the presence of partial tears 15,30,33,34 …”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Leveraging MRI characterization of longitudinal tears of the deep digital flexor tendon in horses using machine learning

El-khamary

Keenihan

Schnabel

et al. 2022

Vet Radiology Ultrasound

View full text Add to dashboard Cite

While MRI is the modality of choice for the diagnosis of longitudinal tears (LTs) of the deep digital flexor tendon (DDFT) of horses, differentiating between various grades of tears based on imaging characteristics is challenging due to overlapping imaging features. In this retrospective, exploratory, diagnostic accuracy study, a machine learning (ML) scheme was applied to link quantitative features and qualitative descriptors to leverage MRI characteristics of different grades of tearing of the DDFT of horses. A qualitative MRI characteristic scheme, combining tendon morphologic features, altered signal intensity, and synovial sheath distention, was used for LT classification with an excellent diagnostic accuracy of the high‐grade tears but more limited accuracy for the detection of low‐grade tears. A quantitative ML approach was followed to measure the contribution of 30 quantitative phenotypic features for characterizing and classifying tendinous tears. Among the 30 imaging features, boundary curvature represented by the standard deviation and maximum had the most significant discriminatory power (P < 0.05) between normal and abnormal tendons and could be used as an aid for classifying the different grades of LTs of DDFTs. Imaging analysis‐based 3D interactive surface plot supports qualitative characterization of different grades of LTs of the DDFT through clearer visualization of the tendon in three dimensions and simple integration of two perspectives features (i.e., margin/distribution and intensity/distribution). A systematic approach combining quantitative features with qualitative analyses using ML was diagnostically beneficial in MRI characterization and in discriminating between different grades of LTs of the DDFT of horses.

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Leveraging MRI characterization of longitudinal tears of the deep digital flexor tendon in horses using machine learning

El-khamary

Keenihan

Schnabel

et al. 2022

Vet Radiology Ultrasound

View full text Add to dashboard Cite

show abstract

“…However, few authors classified or analyzed the variants systematically with a large group of participants [ 21 , 25 ]. Some studies have classified or analyzed the anatomical variants of long head biceps tendon [ 21 ], while others have examined the diagnostic accuracy of MRI in diagnosing pathological patterns [ 35 ]. However, these studies were mainly conducted in small groups of patients and not systematically performed.…”

Section: Discussionmentioning

confidence: 99%

MR arthrography: correlation between anatomic intraarticular variants of the long head of the biceps tendon (long head biceps tendon) and superior labral anterior to posterior (SLAP) lesions

et al. 2022

View full text Add to dashboard Cite

Background The purpose of this work is to characterize the anatomy of the intraarticular portion of the long head of the biceps tendon (long head biceps tendon) using magnetic resonance (MR) arthrography by investigating whether anatomical variants may facilitate the onset of a supraequatorial lesion (superior labral anterior to posterior, SLAP). Materials and methods In 482 shoulder MR arthrographies, we considered the anatomical variants of the intraarticular portion of the long head of the biceps tendon classified according to Dierickx’s arthroscopic classification; lesions of supraequatorial structures were considered in the data analysis. For each anatomical variant, correlation with SLAP and the odd ratio were statistically evaluated, using Fisher’s exact (or chi-squared) test and logistic regression analysis, respectively. Results In the mesotenon-type variant, the SLAP frequency was higher than expected [χ2 (df = 4) = 14.9, p = 0.005] with a higher risk of developing a type I SLAP (p = 0.0003). In the adherent-type variant, the type II SLAP frequency was higher than expected [χ2 (df = 3) = 18.1, p = 0.0004] with a higher risk of developing type II SLAP (p = 0.0001). Two cases of “split” (SPL) long head biceps tendon had III and type IV SLAP, respectively. These patients have a higher risk for type IV SLAP [odds ratio (OR) 19.562, 95% confidence interval (CI) 1.604–238.541, p = 0.001]. An increased risk of developing SLAP type II was calculated for male subjects (OR 3.479, 95% CI 1.013–11.951, p = 0.019). Conclusions It is possible that adherence of the long head biceps tendon to the supraspinatus more often predisposes to a lesion of the superior glenoid labrum (SLAP), in view of the close relationships between the fibrocartilage and the bicipital anchor, probably related to the limited excursion of the intraarticular long head biceps tendon.

show abstract

“…Shoulder arthroscopy is the gold standard for detection of LHBT disorder (3) but is invasive and expensive. Ultrasound is a non-invasive alternative (4–8) to arthroscopy but is operator-dependent. Magnetic resonance (MR) that is sensitive to water content change can reliably reveal tendon pathology (9) and displays LHBT in multiple imaging planes.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional SPACE MR with CAIPIRINHA fourfold acceleration for assessing long head of biceps tendon

Liu

2021

Acta Radiol

View full text Add to dashboard Cite

Background Data regarding controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) T2-weighted sampling perfection with application optimized contrast evolution (SPACE) with fourfold acceleration factor for assessing long head of biceps tendon (LHBT) disorder is lacking. Purpose To investigate the feasibility of 3D CAIPIRINHA SPACE with fourfold acceleration in assessing LHBT disorder. Material and Methods A total of 42 consecutive patients underwent shoulder magnetic resonance (MR) examinations including CAIPIRINHA SPACE with fourfold acceleration, and non-CAIPIRINHA SPACE with twofold acceleration, and 2D fast spin echo (FSE). A subjective score of depiction of LHBT was given to 3D sequence according to a 4-point scale (0–3, “poor” to “excellent”). The Wilcoxon signed rank test was used to compare depiction scores between 3D sequences. Three statuses of LHBT were defined in the study: normal, tendonitis, and tear. McNemar’s test was used compare diagnostic accuracy. Results LHBT was better depicted with CAIPIRINHA SPACE versus non-CAIPIRINHA SPACE (2.1 ± 0.4 vs. 1.5 ± 0.4; P < 0.001). Inter-modality agreement between CAIPIRINHA SPACE and 2D FSE was almost perfect (kappa = 0.884 ± 0.064). The sensitivity and specificity in detecting LHBT disorder were 95% (20/21) and 95% (20/21), respectively, for CAIPIRINHA SPACE, and 71% (15/21) and 76% (16/21), respectively, for non-CAIPIRINHA SPACE ( P = 0.039). Conclusion Fourfold acceleration CAIPIRINHA is feasible in reducing the acquisition time of SPACE MR in the shoulder. 3D CAIPIRINHA SPACE with fourfold acceleration is highly accurate in detecting LHBT disorder.

show abstract

Accuracy of MRI in diagnosing intra-articular pathology of the long head of the biceps tendon: results with a large cohort of patients

Cited by 23 publications

References 25 publications

Leveraging MRI characterization of longitudinal tears of the deep digital flexor tendon in horses using machine learning

Leveraging MRI characterization of longitudinal tears of the deep digital flexor tendon in horses using machine learning

MR arthrography: correlation between anatomic intraarticular variants of the long head of the biceps tendon (long head biceps tendon) and superior labral anterior to posterior (SLAP) lesions

Three-dimensional SPACE MR with CAIPIRINHA fourfold acceleration for assessing long head of biceps tendon

Contact Info

Product

Resources

About