| Literature DB >> 34840759 |
Dung Tran Trung1,2, Manh Nguyen Huu1,2, Quyet Tran1,2, Vu Duc1,2.
Abstract
ABSTRACT: Postoperative tendon healing is still a matter of concern after rotator cuff repair. Several techniques have been introduced to help improve this healing process. Among them, the bone marrow is commonly used source and a research subject for methods using stem cells to promote wound healing process. A number of studies have shown that bone marrow stem cells can travel up through the holes on the rotator cuff insertion sites, contributing into the rotator cuff repair process, increasing the efficiency of tendon healing and improving clinical results. PATIENTS AND METHODS: Cross-sectional descriptive study was performed on 41 rotator cuff tear patients. The microfractures for these patients were calculated beforehand, which have great depth but small diameter, based on the anatomical characteristic of the rotator cuff tear insertions of Vietnamese people. Patients' rotator cuff tendon healing processes were evaluated using ultrasound after surgery. Final tendon healing and clinical results ultimately rely on MRI assessments, classified according to Sugaya's classification, UCLA and ASES scale.Entities:
Keywords: Anatomy; Case series; Microfracture; Rotator cuff tear; Tendon healing
Year: 2021 PMID: 34840759 PMCID: PMC8606896 DOI: 10.1016/j.amsu.2021.103010
Source DB: PubMed Journal: Ann Med Surg (Lond) ISSN: 2049-0801
Fig. 1Illustration of the rotator cuff insertion sites and anatomical landmarks on the lateral border of the rotator cuff tendon measured on a cadaver (these points are determined by following the boundaries between the supraspinatus, infraspinatus, teres minor tendons and the outer border of the insertion on the greater tubercles: B, G, K).
Fig. 2Use of tools to create microfractures on insertion sites.
Fig. 3Creating additional microfractures after tying RC sutures.
Chart 1Relationship between postoperative ASES score and tendon healing degree (n = 41).
Tear classification.
| Tear classification | n | Ratio (%) |
|---|---|---|
| Massive tear | 3 | 7.3 |
| Large tear | 13 | 31.7 |
| Medium tear | 17 | 41.5 |
| Small tear | 8 | 19.5 |
Post-operative MRI classification.
| MRI classification | N | Ratio (%) |
|---|---|---|
| Type I | 23 | 56.1 |
| Type II | 9 | 21.9 |
| Type III | 4 | 9.8 |
| Type IV | 2 | 4.9 |
| Type V | 3 | 7.3 |
Relationship between tendon healing on postoperative MRI and degree of tear.
| Massive tear | Large tear | Medium tear | Small tear | Total | p | |
|---|---|---|---|---|---|---|
| Type I | 1 (4.4) | 3 (13.0) | 13 (56.5) | 6 (26.1) | 23 (100) | |
| Type II | 0 | 5 (55.6) | 2 (22.2) | 2 (22.2) | 9 (100) | |
| Type III | 0 | 2 (50.0) | 2 (50.0) | 0 | 4 (100) | |
| Type IV | 1 (50.0) | 1 (50.0) | 0 | 0 | 2 (100) | |
| Type V | 1 (33.3) | 2 (66.7) | 0 | 0 | 3 (100) | |
Fig. 4Ultrasound evaluation at 1 month and 3 months after surgery. Picture A on the left is 5.7mm thick at 1 month, picture B on the right is 5.1mm thick.
ASES score before – after surgery.
| Average ASES Score | Mean ± SD | Min-max | p |
|---|---|---|---|
| ASES before surgery | 30.05 ± 12.26 | 8.33–7 0 | <0.01 |
| ASES after surgery | 95.41 ± 5.45 | 76.67–100 |
UCLA scale results.
| Average UCLA | Mean ± SD | Min-max |
|---|---|---|
| 32.36 ± 2.53 | 27–35 |