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Cross-sectional study compares clinical and radiological characteristics in hysterectomy patients, indicating effective alignment with histopathological findings.
Background: Uterine diseases are typically classified as neoplastic or non-neoplastic. When untreatable, they necessitate hysterectomy, with radiological and pathological examinations ensuring accurate diagnosis and improved patient care. Objective: To describe and compare the clinical and radiological characteristics of uterine specimens of hysterectomy patients with histopathological findings. Method: This cross-sectional study was carried out at Rashid Latif Medical College and its affiliated Arif Memorial Trust Hospital, comprising 300 hysterectomy specimens collected over a two-year period. A non-probability consecutive sampling method was used. Following ethical approval, data was obtained from medical records and histopathology requisition forms using a structured proforma. Clinical, radiological, and histopathological parameters were analyzed with SPSS version 25. Categorical variables, including clinical presentation, radiological diagnosis, type of procedure, and histopathological findings, were summarized as frequencies and percentages, whereas continuous variables were expressed as mean, standard deviation, and range. Results: A total of 300 hysterectomy specimens were analyzed. The most frequent clinical indications were abnormal uterine bleeding (30%) and heavy menstrual bleeding (30%). Fibroids (35%) and adenomyosis (16.3%) were the leading histopathological findings. On descriptive comparison, radiological diagnoses matched histopathological findings with the highest match seen in fibroids (90.5%) and uterovaginal prolapse (100%). Conclusion: Most histopathological diagnoses of post-operative hysterectomy cases were aligned with the radiological diagnosis. However, histopathological examination continues to be the definitive standard for diagnosing and excluding malignancy and is required for all surgical specimens.
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Khurram et al. (2025) studied this question.
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