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Establishing patterns on hysteroscopy in abnormal uterine bleeding (AUB)
Deeksha Pandey1, Srividya Kunamneni1, Pranadeep Reddy Inukollu1
1Department of Obstetrics and Gynaecology, KMC Manipal, Manipal University, Manipal, Karnataka, 576104, India.
Gynecology and Minimally Invasive Therapy
|September 27, 2018
Summary
Hysteroscopy allows for pattern recognition of endometrial conditions, aiding in the triage of women with abnormal uterine bleeding (AUB). This visual assessment helps determine the need for endometrial sampling, improving diagnostic accuracy and patient care.
Area of Science:
- Gynecology
- Pathology
- Diagnostic Imaging
Background:
- Hysteroscopy offers advantages in recognizing normal endometrium and pathologies.
- Pattern recognition can help triage women with abnormal uterine bleeding (AUB).
- Reducing unnecessary biopsies decreases pathologist workload and patient anxiety.
Purpose of the Study:
- To correlate hysteroscopic endometrial patterns with histopathological diagnoses.
- To evaluate the utility of hysteroscopic pattern recognition in managing AUB.
Main Methods:
- Prospective, double-blind correlation study.
- 70 women with AUB underwent hysteroscopy and endometrial sampling.
- Identified hysteroscopic patterns to predict six endometrial pathologies.
Main Results:
- Good correlation found between hysteroscopic patterns and histopathology.
- Specific patterns showed high correlation: "starry sky" (33%) with atrophic endometrium, "tongue shaped" (87%) with endometrial polyp, "pebble stone" (44.4%) with myomatous polyp, "polypoidal" (50%) with endometrial hyperplasia.
- 100% correlation for "strawberry" (secretory endometrium) and "cerebroid" (endometrial carcinoma) appearances.
Conclusions:
- Hysteroscopic pattern recognition is valuable for triaging women needing histopathological diagnosis.
- Visual assessment during hysteroscopy can guide endometrial sampling decisions.
- This approach enhances diagnostic efficiency and patient management for AUB.
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