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Management of Severe Congenital Ptosis: Enhancing Surgical Predictability
Mostafa M Diab1,2, Richard C Allen3
1Department of Ophthalmology, Faculty of Medicine, Fayoum University, Al Fayoum, Egypt.
Purpose:
To review current management strategies for severe simple congenital ptosis, highlight technical refinements that optimize levator surgery outcomes, and propose an intraoperative algorithm to enhance surgical predictability.
Methods:
A comprehensive PubMed-based literature review was conducted to identify studies on severe congenital ptosis, preoperative determinants of surgical planning, and operative techniques. Emphasis was placed on intraoperative anatomical variability of the levator palpebrae superioris complex, modifications of levator-based surgery (LBS), and the role of combined procedures.
Results:
Recent studies demonstrate considerable intraoperative variability in the levator palpebrae superioris complex morphology, including the aponeurosis, muscle belly, and Whitnall's ligament. Traditional reliance on preoperative metrics and standardized resection formulas in LBS often fails to account for this intraoperative variability and the heterogeneity of congenital ptosis. The unpredictability of LBS in severe ptosis has led some surgeons to favor frontalis suspension for its relative consistency, albeit at the cost of physiologic dynamics. Several technical modifications of LBS have been described, including septal debulking, fibrosis release, and direct intraoperative levator assessment. Combined procedures integrating levator advancement with adjunctive lifting tissues have been reported to further enhance eyelid elevation.
Conclusion:
Advances in LBS, including intraoperative levator exploration, fibrosis release, and adjunctive use of neighboring elevator structures, have broadened the potential for functional and aesthetic success in severe congenital ptosis. These findings underscore the importance of dynamic, anatomy-based intraoperative judgment over rigid preoperative formulas. A flexible intraoperative algorithm is proposed to guide surgical choice and improve predictability.
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