Trial reportSurgical endoscopy2020
Comparison of enhanced laparoscopic imaging techniques in endometriosis surgery: a diagnostic accuracy study.
Trial report in Surgical endoscopy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- European Association for Endoscopic Surgery (EAES) consensus on Indocyanine Green (ICG) fluorescence-guided surgery.Surgical endoscopy · 2023Pooled it
- The Use of near Infra-Red Radiation Imaging after Injection of Indocyanine Green (NIR-ICG) during Laparoscopic Treatment of Benign Gynecologic Conditions: Towards Minimalized Surgery. A Systematic Review of Literature.Medicina (Kaunas, Lithuania) · 2022Pooled it
- Endometriosis-derived exosomal MicroRNA-125b-5p downregulates phosphatidylinositol 3-Kinase/Protein Kinase B signaling pathways via vascular endothelial growth factor to decelerate endometriosis progression.Molecular biology reports · 2026Article
- Probing the Influence of Specular Reflection and Overexposure on Backscattering Mueller Matrix Polarimetry for Tissue Imaging and Sensing.Biosensors · 2025Article
- Prevalence of endometriosis in women undergoing laparoscopic surgery for various gynecological indications: a Jordanian multi-center retrospective study.BMC women's health · 2024Article
- The Role of Indocyanine Green With Near-Infrared Imaging for the Intraoperative Detection and Enhancement of Endometriosis Lesions: A Narrative Review.Surgical innovation · 2024Review
- Novel Minimally Invasive Surgical Approaches to Endometriosis and Adenomyosis: A Comprehensive Review.Journal of clinical medicine · 2024Review
- Surgical polarimetric endoscopy for the detection of laryngeal cancer.Nature biomedical engineering · 2023Article
- Early stage gastric adenocarcinoma: clinical and molecular landscapes.Nature reviews. Clinical oncology · 2023Review
- Targeted Imaging of Endometriosis and Image-Guided Resection of Lesions Using Gonadotropin-Releasing Hormone Analogue-Modified Indocyanine Green.Molecular imaging · 2023Article
- Improving tissue characterization, differentiation and diagnosis in gynecology with the narrow-band imaging technique: A systematic review.Experimental and therapeutic medicine · 2022Article
- Near-Infrared Fluorescence Imaging for the Intraoperative Detection of Endometriosis: A Pilot Study.Life (Basel, Switzerland) · 2021Article
- Comprehensive Review of Fluorescence Applications in Gynecology.Journal of clinical medicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFor surgical endometriosis, treatment key is to properly identify the peritoneal lesions. The aim of this clinical study was to investigate if advanced imaging improves the detection rate by comparing narrow-band imaging (NBI), near-infrared imaging with indocyanine green (NIR-ICG), or three-dimensional white-light imaging (3D), to conventional two-dimensional white-light imaging (2D) for the detection of peritoneal endometriotic lesions.
methodsThis study was a prospective, single-center, randomized within-subject, clinical trial. The trial was conducted at Amsterdam UMC-Location VUmc, a tertiary referral hospital for endometriosis. 20 patients with ASRM stage III-IV endometriosis, scheduled for elective laparoscopic treatment of their endometriosis, were included. During laparoscopy, the pelvic region was systematically inspected with conventional 2D white-light imaging followed by inspection with NBI, NIR-ICG, and 3D imaging in a randomized order. Suspected endometriotic lesions and control biopsies of presumably healthy peritoneum were taken for histological examination. The pathologist was blinded for the method of laparoscopic detection. Sensitivity and specificity rates of the enhanced imaging techniques were analyzed. McNemar's test was used to compare sensitivity to 2D white-light imaging and Method of Tango to assess non-inferiority of specificity.
resultsIn total, 180 biopsies were taken (117 biopsies from lesions suspected for endometriosis; 63 control biopsies). 3D showed a significantly improved sensitivity rate (83.5% vs. 75.8%, p = 0.016) and a non-inferior specificity rate (82.4% vs. 84.7%, p = 0.009) when compared to 2D white-light imaging. The single use of NBI or NIR-ICG showed no improvement in the detection of endometriosis. Combining the results of 3D and NBI resulted in a sensitivity rate of 91.2% (p < 0.001).
conclusionEnhanced laparoscopic imaging with 3D white light, combined with NBI, improves the detection rate of peritoneal endometriosis when compared to conventional 2D white-light imaging. The use of these imaging techniques enables a more complete laparoscopic resection of endometriosis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.