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1.
Arthroscopy ; 37(2): 706-717, 2021 02.
Article in English | MEDLINE | ID: mdl-32911004

ABSTRACT

PURPOSE: The purpose of this systematic review is to examine the rates of postoperative recurrence of instability, functional outcomes, and complications after treatment with bone augmentation procedures or arthroscopic Bankart repair with remplissage for recurrent anterior shoulder instability in the setting of subcritical glenoid bone loss. METHODS: EMBASE, PubMed, and MEDLINE were searched from database inception until June 2019 for articles examining either bone block augmentation to the glenoid or Bankart repair with remplissage (BRR) in the setting of subcritical glenoid bone loss. Search and data extraction were performed by 2 reviewers independently and in duplicate. A separate analysis was done for comparative studies. RESULTS: Overall, 145 studies were identified, including 4 comparative studies. Across all studies, postoperative recurrence rates ranged from 0% to 42.8% for bone block augmentation and 0% to 15% for Bankart repair with remplissage. In comparative studies reporting subcritical glenoid bone loss, rates were 5.7% to 11.6% in the Latarjet group and 0% to 13.3% in the Bankart repair with remplissage group. However, in all studies reporting 10% to 15% mean glenoid bone loss, there was an increased rate of recurrent instability with arthroscopic soft tissue repair (6.1% to 13.2%) in comparison with bony augmentation (0% to 8.2%). Lastly, complication rates ranged from 0% to 66.7% for the bone block group and 0% to 2.3% for arthroscopic Bankart repair with remplissage. CONCLUSION: Both bone block augmentation and Bankart repair with remplissage are effective treatment options for recurrent anterior shoulder instability in patients with bipolar bone loss but subcritical glenoid bone loss. Both have comparable functional outcomes, albeit bone block procedures carry an increased risk of complications. Arthroscopic BRR may be associated with a higher failure rate for preoperative glenoid bone loss >10%. Therefore, it may represent a stabilization procedure best suited for cases of recurrent anterior instability with glenoid bone loss <10% and the presence of a significant, off-track Hill-Sachs lesion. LEVEL OF EVIDENCE: Level IV, systematic review of Level II-IV studies.


Subject(s)
Arthroscopy , Bone Resorption/complications , Joint Instability/complications , Joint Instability/surgery , Shoulder Joint/surgery , Adult , Arthroscopy/adverse effects , Female , Humans , Male , Postoperative Complications/etiology , Publication Bias , Randomized Controlled Trials as Topic , Recurrence , Risk , Scapula/surgery , Treatment Outcome
2.
Lancet Digit Health ; 2(11): e573-e581, 2020 11.
Article in English | MEDLINE | ID: mdl-33328086

ABSTRACT

BACKGROUND: Deep learning-based radiological image analysis could facilitate use of chest x-rays as triage tests for pulmonary tuberculosis in resource-limited settings. We sought to determine whether commercially available chest x-ray analysis software meet WHO recommendations for minimal sensitivity and specificity as pulmonary tuberculosis triage tests. METHODS: We recruited symptomatic adults at the Indus Hospital, Karachi, Pakistan. We compared two software, qXR version 2.0 (qXRv2) and CAD4TB version 6.0 (CAD4TBv6), with a reference of mycobacterial culture of two sputa. We assessed qXRv2 using its manufacturer prespecified threshold score for chest x-ray classification as tuberculosis present versus not present. For CAD4TBv6, we used a data-derived threshold, because it does not have a prespecified one. We tested for non-inferiority to preset WHO recommendations (0·90 for sensitivity, 0·70 for specificity) using a non-inferiority limit of 0·05. We identified factors associated with accuracy by stratification and logistic regression. FINDINGS: We included 2198 (92·7%) of 2370 enrolled participants. 2187 (99·5%) of 2198 were HIV-negative, and 272 (12·4%) had culture-confirmed pulmonary tuberculosis. For both software, accuracy was non-inferior to WHO-recommended minimum values (qXRv2 sensitivity 0·93 [95% CI 0·89-0·95], non-inferiority p=0·0002; CAD4TBv6 sensitivity 0·93 [0·90-0·96], p<0·0001; qXRv2 specificity 0·75 [0·73-0·77], p<0·0001; CAD4TBv6 specificity 0·69 [0·67-0·71], p=0·0003). Sensitivity was lower in smear-negative pulmonary tuberculosis for both software, and in women for CAD4TBv6. Specificity was lower in men and in those with previous tuberculosis, and reduced with increasing age and decreasing body mass index. Smoking and diabetes did not affect accuracy. INTERPRETATION: In an HIV-negative population, these software met WHO-recommended minimal accuracy for pulmonary tuberculosis triage tests. Sensitivity will be lower when smear-negative pulmonary tuberculosis is more prevalent. FUNDING: Canadian Institutes of Health Research.


Subject(s)
Deep Learning , Image Processing, Computer-Assisted/methods , Lung/pathology , Radiology/methods , Software , Triage , Tuberculosis, Pulmonary/diagnosis , Adult , Age Factors , Body Mass Index , Female , HIV Infections , Humans , Lung/diagnostic imaging , Lung/microbiology , Male , Middle Aged , Mycobacterium tuberculosis/growth & development , Pakistan , Prospective Studies , Sensitivity and Specificity , Sex Factors , Sputum/microbiology , Tuberculosis, Pulmonary/diagnostic imaging , Tuberculosis, Pulmonary/microbiology , X-Rays , Young Adult
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