Use of intraoperative ex VIVO fluorescence confocal microscopy to identify ganglionic bowel in Hirschsprung’s DISEASE: A case series
Donatella Di Fabrizio, Irene Tavolario, Francesca Mastroberti and 4 more
Journal of Pediatric Surgery Case Reports · 2025
doi:10.1016/j.epsc.2025.103064 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
Introduction: Hirschsprung's disease requires precise intraoperative identification of ganglionic bowel to ensure successful pull-through. Ex vivo fluorescence confocal microscopy (FCM) may offer a rapid, real-time diagnostic adjunct. Case Presentations: Case 1: A 2-month-old male presented with delayed meconium passage, abdominal distension, and bilious vomiting. Contrast enema revealed a rectosigmoid transition zone, and rectal suction biopsy confirmed aganglionosis. He underwent laparoscopic Soave-Georgeson pull-through. Intraoperatively, seromuscular biopsies were stained with acridine orange and fast green and examined using FCM. Digital images were analyzed remotely by a pathologist, who confirmed the presence of ganglion cells within 5 minutes. The pull-through was completed based on this assessment. Postoperative recovery was uneventful, and at 18-month follow-up, the child had normal bowel function and growth. Case 2: A 3-month-old female presented with chronic constipation, vomiting, and failure to thrive. Imaging and rectal biopsy confirmed Hirschsprung's disease. She underwent laparoscopic pull-through guided by FCM, following the same protocol as in Case 1. Real-time identification of ganglion cells allowed for prompt selection of the pull-through segment. The postoperative course was uncomplicated. At 12-month follow-up, the child had normal stooling patterns and appropriate weight gain. Conclusion: Intraoperative ex vivo fluorescence confocal microscopy seems to be a fast and reliable method for the identification of ganglionic bowel during the pull-through procedure for the management of Hirschsprung disease.
Abstract licence: CC BY-NC
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.