AI landmark versus conventional ultrasound-guided injections for adhesive capsulitis: a prospective, propensity score-matched, superiority study.
Authors
Affiliations (2)
Affiliations (2)
- Department of Pain Management, Sinopharm Harbin General Hospital, Harbin City.
- Department of Pain Management, Hongqi Hospital Affiliated to Mudanjing Medical University, Mudanjiang City. [email protected].
Abstract
To investigate the artificial Intelligence (AI) landmark for guiding rotator cuff interval injections for adhesive capsulitis (AC). One hundred fifty-five patients undergoing AI landmark-guided injections were prospectively enrolled (AI cohort). A 1:1 propensity-score matching was conducted for ultrasound (US) cohort receiving US-guided injections (n=149). The primary endpoint was shoulder pain and disability index (SPADI) scores at 1-month post-injections, with a defined superiority margin of a 10-point decrease. Secondary outcomes included needle insertions, procedure time, range off motion, quality of life (QoL) and adverse events. SPADI scores at 1-month follow-up was 32.81±18.16 and 44.53±11.74 in two cohorts with a mean difference of -11.72 (95%CI: -17.95, -10.48), confirming the superiority (p=0.025). Higher means were observed at 1-week and 3-month post-injections (p=0.018 and 0.033). Better improvements were observed in forward flexion (158.77±13.12 vs. 145.97±11.49, p=0.016), abduction (78.98±15.96 vs. 61.09±17.09, p=0.007) and external rotation (63.13±19.97 vs. 50.19±13.85, p=0.019) in AI cohort compared to US cohort at 1-week post-injections. AI cohort had fewer needle insertions, shorter procedure times and better QoL scores. Minor adverse events were observed. AI approach facilitated the identification of shoulder landmarks and demonstrated superiority in relieving shoulder pain and improving function compared to ultrasound method.