# Quantitative Magnetic Resonance and Ultrasound Imaging of Human Rotator Cuff Muscle and Tendon

> **NIH VA I01** · VA SAN DIEGO HEALTHCARE SYSTEM · 2021 · —

## Abstract

The rotator cuff (RC) is the primary dynamic stabilizer of the glenohumeral joint and dysfunction can lead
to abnormal joint kinematics through loss of force couples, deterioration of shoulder function, and ultimately
cartilage degeneration and cuff arthropathy. Full-thickness RC tendon tears are common, occurring in >20% of
the adult population, and when non-operative management fails, surgical repair is often performed. Although
muscle fibrosis and tendon degeneration are important variables that can increase surgical complexity and lead
to lower patient outcome scores, they are difficult to evaluate non-invasively, including with conventional
magnetic resonance imaging (MRI) and ultrasound (US), the two most widely used imaging modalities.
 Recently the novel ultrashort echo time magnetization transfer (UTE-MT) MRI technique has been
developed to assess tendon quality, and preliminary results showed insensitivity to the magic angle effect, a
strong correlation with collagen loss, and the capability to distinguish between tendinopathy groups. However,
the variable presence of fat diminishes the accuracy of the technique when applied to degenerated muscle, for
which several new fat-suppression methods have been proposed. Ultrasound quantification of muscle fat and
fibrosis has also been attempted using routine B-mode images with limited success.
 The goal of this proposal is to develop, optimize, validate, and translate novel MRI and US techniques
for comprehensive quantitative evaluation of RC muscle and tendon collagen abnormalities and fibrosis. In the
first technical development aim, novel UTE-MT with various fat-suppression methods will be optimized and
implemented, and the superior version with optimized parameters will be determined. In addition, quantitative
US based on raw radiofrequency data will be implemented and novel tissue-specific scattering models will be
created. The first hypothesis is that novel quantitative UTE-MT with fat-suppression and quantitative US
incorporating tissue-specific models for tendon and muscle can be developed and optimized. In the second aim,
a controlled rat model with unilateral massive RC tendon tear is used to induce muscle and tendon degeneration.
The novel quantitative MRI and US techniques will be validated and compared alongside existing quantitative
techniques. The second hypothesis is that these novel techniques can be implemented longitudinally, are
reproducible, and will better correlate with reference standard histological measurements. The third human
translational aim brings these new techniques to the clinic. Two age- and gender-matched cohorts of patients
will be imaged, including individuals without full-thickness RC tears and individuals with full-thickness RC tears
who will undergo surgical repair with acquisition of small biopsy samples. The third hypothesis is that the novel
quantitative MRI and US techniques can be translated to the clinic for comprehensive, non-invasive assessment
...

## Key facts

- **NIH application ID:** 10217052
- **Project number:** 5I01CX001388-06
- **Recipient organization:** VA SAN DIEGO HEALTHCARE SYSTEM
- **Principal Investigator:** Eric Y Chang
- **Activity code:** I01 (R01, R21, SBIR, etc.)
- **Funding institute:** VA
- **Fiscal year:** 2021
- **Award amount:** —
- **Award type:** 5
- **Project period:** 2016-07-01 → 2024-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10217052

## Citation

> US National Institutes of Health, RePORTER application 10217052, Quantitative Magnetic Resonance and Ultrasound Imaging of Human Rotator Cuff Muscle and Tendon (5I01CX001388-06). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10217052. Licensed CC0.

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