Diagnosis of Endometriosis at Laparoscopy: A Validation Study Comparing Surgeon Visualization with Histologic Findings
article
OA: closed
CC0
⤵ 28 in-corpus citations
AI-generated summary
This study validated the accuracy of surgeon visualization during laparoscopy for diagnosing endometriosis against definitive histologic findings.
One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works
Abstract
ObjectiveThis study aimed to evaluate the validity of laparoscopic visualization for the diagnosis of endometriosis compared with histopathology.MethodsWe conducted a retrospective chart review at a tertiary care hospital in Canada for the period of April 1, 2016 to March 31, 2017. Of 1069 women, 96 were selected for having undergone laparoscopic visualization and concurrent histopathological biopsy for suspected endometriosis. Standard measures of validity for diagnostic tests (sensitivity, specificity, positive predictive and negative predictive values, accuracy) were used.ResultsMean age of the 96 women included was 40 ± 7.2 years, and median gravidity and parity were 1 (IQR 0-3) and 0 (IQR 0-2), respectively. Common symptoms were abdominal and pelvic pain (41.7%), menstrual bleeding concerns (34.4%), dysmenorrhea (29.2%), and infertility (8.3%). Approximately one-third of women had endometriomas (31.3%), while more than half had deep infiltrating endometriosis (59.4%). The diagnosis of endometriosis was made by surgeons at laparoscopic visualization in 82.3% of women and by histopathology in 74.0%. Using histopathology as the gold standard, sensitivity for laparoscopic visualization was 90.1% (95% CI 81.0-95.1), while specificity was 40.0% (95% CI 23.4-59.3). Positive and negative predictive values were 81.0% (95% CI 71.0-88.1) and 58.8% (95% CI 36.0-78.4), respectively; and the accuracy was 77.1% (95% CI 67.7-84.4).ConclusionAlthough laparoscopic visualization had relatively high sensitivity and positive predictive value, its specificity and negative predictive value were relatively low. These findings support the use of laparoscopic visualization with histopathological analysis for accurate diagnosis of endometriosis.
My notes (saved in your browser only)
Condition tags
MeSH descriptors
Citation neighborhood
Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.
References (30)
- Accuracy of laparoscopy for assessing patients with endometriosis via openalex
- An evidence‐based approach to assessing surgical versus clinical diagnosis of symptomatic endometriosis via openalex
- Clinical diagnosis of endometriosis: a call to action via openalex
- Clinical Management of Endometriosis via openalex
- Correlation between laparoscopic and histopathologic diagnosis of endometriosis via openalex
- Diagnosis of deep endometriosis: clinical examination, ultrasonography, magnetic resonance imaging, and other techniques via openalex
- Diagnosis of Stage I Endometriosis: Comparing Visual Inspection to Histologic Biopsy Specimen via openalex
- Diagnostic accuracy of laparoscopy, magnetic resonance imaging, and histopathologic examination for the detection of endometriosis via openalex
- Endometriosis and Imaging via openalex
- Endometriosis and Infertility via openalex
- Endometriosis and infertility: a committee opinion via openalex
- Endometriosis: Correlation between histologic and visual findings at laparoscopy via openalex
- Endometriosis: Diagnosis and Management via openalex
- Endometriosis: Diagnosis and Management via openalex
- Endometriosis - Morphology, clinical presentations and molecular pathology via openalex
- ESHRE guideline for the diagnosis and treatment of endometriosis via openalex
- Histopathologic findings on uterosacral ligaments in women with chronic pelvic pain and visually normal pelvis at laparoscopy via openalex
- Laparoscopic Excision of Lesions Suggestive of Endometriosis or Otherwise Atypical in Appearance: Relationship Between Visual Findings and Final Histologic Diagnosis via openalex
- Reliability of Visual Diagnosis of Endometriosis via openalex
- REVIEW: Accuracy of laparoscopy in the diagnosis of endometriosis: a systematic quantitative review via openalex
- Surgical Excision Versus Ablation for Superficial Endometriosis-Associated Pain: A Randomized Controlled Trial via openalex
- Surgical treatment of endometriosis: a prospective randomized double-blinded trial comparing excision and ablation via openalex
- What’s the delay? A qualitative study of women’s experiences of reaching a diagnosis of endometriosis via openalex
- World Endometriosis Society consensus on the classification of endometriosis via openalex
- W1715364430 via openalex
- W2463639611 via openalex
- W190587926 via openalex
- W2064553736 via openalex
- W2046381495 via openalex
- W1975013263 via openalex
Cited by (34)
- The role of tumor necrosis factor alpha in regulating CYFRA 21-1 as a potential biomarker for endometriosis: A cross-sectional study 2026
- Endometriosis: Epidemiology, Risk Factors, Molecular Mechanisms, Diagnosis, and Management 2026
- Machine learning models for non-invasive endometriosis triage using a laparoscopically and histologically verified cohort 2026
- The Incidence of Negative Laparoscopy for Pelvic Pain Stratified by Level of Training and Location of Service Provision 2026
- Endometriosis-associated Pain: Mechanism, Neuroimmune Signature, and Translational Precision Strategies 2026
- Efficacy and Safety of Elagolix Versus Dienogest for Treatment of Moderate-to-Severe Endometriosis Pain: A Phase III, Multicentric, Double-Blind, Active-Controlled, Non-Inferiority Study 2026
- Advancements in Ultrasound Diagnosis of Superficial Endometriosis: Current Challenges and Emerging Techniques 2025
- Translation of miRNA blood-based discovery to molecular testing for clinical diagnosis of endometriosis 2025
- Clinical Presentation, Laparoscopic Findings, and Therapeutic Aspects of Endometriosis in Patients Undergoing Laparoscopy at the Yaoundé Gyneco-Obstetric and Pediatric Hospital 2025
- Prospective external validation and exploration of the "2021 AAGL endometriosis classification" 2025
- What are the most significant challenges in understanding and managing endometriosis today? 2025
- AI-Assisted Endometriosis Diagnosis: A Multi-CNN Laparoscopic Image Analysis 2025
- Enhanced analysis of endometriosis patients’ plasma using #Enzian annotation highlights potential biomarkers for early-stages of disease 2025
- Improving Diagnostic Yield in Peritoneal Endometriosis: Value of Additional Level Sections and Sampling Protocols 2025
- SWOT Analysis of Vision Transformers (ViTs) for Automated Diagnosis of Endometriosis from Laparoscopic Videos: Feasibility and Ethical Challenges 2025
- Translation of miRNA blood-based discovery to molecular testing for clinical diagnosis of endometriosis 2025
- An update for endometriosis management: a position statement 2024
- Guideline No. 449: Diagnosis and Impact of Endometriosis - A Canadian Guideline 2024
- Deep Learning Improves Accuracy of Laparoscopic Imaging Classification for Endometriosis Diagnosis 2024
- A Comprehensive Review of the Diagnostic Landscape of Endometriosis: Assessing Tools, Uncovering Strengths, and Acknowledging Limitations 2024
- Dysmenorrhea and endometriosis in the adolescent female 2024
- Directive clinique no 449 : Directive canadienne sur le diagnostic et les impacts de l’endométriose 2024
- The expanding role of sonography for the diagnosis of deep infiltrating endometriosis: Results of a large case series 2024
- Horizons in Endometriosis: Proceedings of the Montreux Reproductive Summit, 14-15 July 2023 2024
- Retrospective review of endometriosis surgery at Te Whatu Ora - Capital and Coast 2023
- Diagnostic and Therapeutic Approaches for Endometriosis: A Patent Landscape 2023
- Deep Learning Improves Accuracy of Laparoscopic Imaging Classification for Endometriosis Diagnosis 2023
- External Validation of the "2021 AAGL Endometriosis Classification": A Retrospective Cohort Study 2023
- Breaking the silence: The role of extracellular vesicles in unraveling the diagnosis and treatment of endometriosis 2023
- Diagnostic and therapeutic approaches for endometriosis: a patent landscape 2023
- MicroRNAs Dysregulation as Potential Biomarkers for Early Diagnosis of Endometriosis 2022
- Strengths and limitations of diagnostic tools for endometriosis and relevance in diagnostic test accuracy research 2022
- Evaluation of laparoscopy results for the patients with chronic pelvic pain 2022
- ASPN Is a Potential Biomarker and Associated with Immune Infiltration in Endometriosis 2022
Source provenance
- europepmc
- last seen: 2026-07-28T06:14:09.330459+00:00
- openalex
- last seen: 2026-06-10T17:14:06.276822+00:00
- pubmed
- last seen: 2026-05-13T22:24:20.309598+00:00
License: CC0
· commercial use OK