Early post-operative angle as a predictor of surgical success in adult patients with intermittent exotropia.

Purpose: Intermittent exotropia is a condition where divergent strabismus is present at certain times or fixation distances and is surgically treated with bilateral lateral rectus recession or unilateral lateral rectus recession with medial rectus resection. The main purpose of our study is to assess the relationship between the initial post-operative deviation and surgical outcomes in adult exotropes undergoing recess-resect surgery. Methods: A retrospective chart review was performed on adult patients who underwent unilateral recess-resect surgery for intermittent exotropia between March 2010 and February 2022 at a single institution with at least 3 months of follow-up. Based on their motor alignment at 2 weeks following surgery, they were categorized as having exodeviation, esodeviation within 10 PD and esodeviation exceeding 10 PD. Surgical success was defined as motor alignment within 10 PD of exotropia and 5 PD of esotropia at distance and near at final follow-up. Results: 93 patients were included, 55% female and average age was 37 years. At postoperative week 2, 26 patients demonstrated residual exodeviation (Group A), 53 patients demonstrated an esodeviation of within 10 PD (Group B) and 14 patients demonstrated an esodeviation greater than 10 PD (Group C). There were no significant differences in pre-operative and demographic factors between the group. At the final follow-up, surgical success was observed in 57 patients: 12 in Group A, 41 in Group B and 4 in Group C (P < .01). Conclusion: Overcorrection of within 10 PD at 2 weeks following surgery showed a more favorable surgical outcome compared to exodeviation or esodeviation exceeding 10 PD.

Effect of bimedial recession on near-distance disparity in esotropia.

BACKGROUND: Esotropia may be associated with a difference in the deviation at near and distance fixation termed near-distance disparity (NDD). Convention suggests patients with NDD may benefit more from bilateral medial rectus recessions (BMR) as opposed to a unilateral recession/resection (RR). The aim of this study is to establish the effect of BMR for the treatment of esotropia on both the near and distance deviation and NDD. METHODS: Retrospective patient records search from 2011 to 2021. INCLUSION CRITERIA: comitant esotropia, first surgery, equal and normal vision with free alternation. EXCLUSION CRITERIA: incomitant, neurological or restrictive strabismus, previous surgery, clinically significant amblyopia. RESULTS: 49 patients met the inclusion criteria. 19 patients were female; the average age was 17 years. Following surgery, the average near deviation reduced from 39PD base out (BO) to 11PD BO. The average distance deviation reduced from 33PD to 9PD. Average preoperative NDD was 12 PD. NDD resolved in 15 out of 18 patients with NDD (83%). The average PD gain per mm of recession was 2.7 for near and 2.2 for distance. CONCLUSIONS: BMR is an effective surgical treatment for esotropia and has a greater effect on near deviation than distance. It is also an effective and simple technique for lesser degrees of NDD. BMR has several advantages over RR: no tissue loss, readily reversible, the scars are easier to hide and it avoids potential motility limitations due to leash effects following resection.

Machine learning applications in cardiac computed tomography: a composite systematic review.

Artificial intelligence and machine learning (ML) models are rapidly being applied to the analysis of cardiac computed tomography (CT). We sought to provide an overview of the contemporary advances brought about by the combination of ML and cardiac CT. Six searches were performed in Medline, Embase, and the Cochrane Library up to November 2021 for (i) CT-fractional flow reserve (CT-FFR), (ii) atrial fibrillation (AF), (iii) aortic stenosis, (iv) plaque characterization, (v) fat quantification, and (vi) coronary artery calcium score. We included 57 studies pertaining to the aforementioned topics. Non-invasive CT-FFR can accurately be estimated using ML algorithms and has the potential to reduce the requirement for invasive angiography. Coronary artery calcification and non-calcified coronary lesions can now be automatically and accurately calculated. Epicardial adipose tissue can also be automatically, accurately, and rapidly quantified. Effective ML algorithms have been developed to streamline and optimize the safety of aortic annular measurements to facilitate pre-transcatheter aortic valve replacement valve selection. Within electrophysiology, the left atrium (LA) can be segmented and resultant LA volumes have contributed to accurate predictions of post-ablation recurrence of AF. In this review, we discuss the latest studies and evolving techniques of ML and cardiac CT.