Reconstructive Surgery versus Primary Closure following Vulvar Cancer Excision: A Wide Single-Center Experience.
Mustafa Zelal MuallemJalid SehouliAndrea MirandaHelmut PlettAhmad SayasnehYasser DiabJumana MuallemImad HatoumPublished in: Cancers (2022)
(1) Background: plastic reconstruction in vulvar surgery can lead to a better treatment outcome than primary closure. This study aims to compare the preoperative parameters (co-morbidities and tumor size) and postoperative results (tumor free margins and wound healing) between the primary closure and reconstructive surgery after vulvar cancer surgery; (2) Methods: this is a retrospective analysis of prospectively collected data from 2009 to 2021 at a tertiary cancer institution; (3) Results: 177 patients were included in the final analysis (51 patients had primary closure PC and 126 had reconstructive surgery RS). About half (49%) of the PC patients had no co-morbidities ( p = 0.043). The RS group had a 45 mm median maximal tumor diameter compared to the PC group's 23 mm ( p = 0.013). More than 90% of RS and 80% of PC had tumor-free margins ( p = 0.1). Both groups had anterior vulvar excision as the most common surgery (52.4% RS vs. 23.5% PC; p = 0.001). Both groups had identical rates of wound healing disorders. In a median follow-up of 39 months; recurrent disease was found in 23.5% of PC vs. 10.3% in RS ( p = 0.012). In terms of overall survival there was no significant difference between the both groups; (4) Conclusions: reconstructive vulvar surgery enables enhanced complete resection rates of larger vulvar tumors with better anatomical restoration and a comparable wound recovery in comparison to primary closure. This results in a lower recurrence rate despite the increased tumor volume.
Keyphrases
- minimally invasive
- coronary artery bypass
- end stage renal disease
- surgical site infection
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- wound healing
- papillary thyroid
- prognostic factors
- patients undergoing
- coronary artery disease
- machine learning
- atrial fibrillation
- early stage
- squamous cell
- data analysis
- free survival
- artificial intelligence