Robotic excision of deep infiltrating endometriosis at the uretero-vesical junction.
This case report describes robotic excision of deep infiltrating endometriosis at the uretero-vesical junction using bimodal visualization and bladder reconstruction to successfully treat a patient with right-sided hydroureter.
One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works
This case report details the robotic-assisted surgical management of a 36-year-old woman with biopsy-proven deep infiltrating endometriosis affecting the bladder wall and uretero-vesical junction. The procedure utilized bimodal visualization through cystoscopy and robotic laparoscopy to precisely delineate the lesion, followed by hysterectomy, excision of the endometriotic tissue, ureterolysis, and reconstruction involving a psoas hitch and ureteral reimplantation. The authors note that while the pelvis appeared normal intraoperatively, imaging and specialized visualization were critical for identifying the extent of disease, resulting in an uneventful post-operative recovery with confirmed integrity of the urinary tract repair. This paper is centrally about endometriosis — specifically the robotic excision of deep infiltrating lesions at the uretero-vesical junction and bladder.
Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works
Abstract
Full text
1,886 characters
· extracted from
oa-html
· 4 sections
· click to expand
Abstract
Materials and methods
Results
Conclusion
Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.
My notes (saved in your browser only)
Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works
Condition tags
Citation neighborhood (sparse)
Too few in-corpus citations on either side for a chart; here are the lists.
Cited by (1)
Cited by (1)
Source provenance
- europepmc
- last seen: 2026-09-12T06:55:35.949492+00:00
- openalex
- last seen: 2026-06-10T17:14:06.276822+00:00
- pubmed
- last seen: 2026-05-13T22:22:22.912744+00:00