Imaging Modalities in Assessment of Gynecological Causes of Acute Pelvic Pain at Shifa Medical Complex: A Cross-sectional Study

Mohammed Mohsen, Basel Auda
In: International Journal of Innovative Research in Medical Science · 2024 · vol. 9(08) , pp. 469–475 · doi:10.23958/ijirms/vol09-i08/1942 · W4401496907
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⚙ AI-generated summary by claude@2026-06, 2026-06-09 ⓘ

This cross-sectional study at Shifa Medical Complex found that imaging modalities, especially MRI, effectively diagnosed gynecological causes of acute pelvic pain in 181 women, with ultrasound, MRI, and CT scans identifying fibroids, cysts, endometriosis, adnexal masses, and ectopic pregnancies.

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⚙ AI-generated deep summary by claude@2026-06, 2026-06-13 · read from full text ⓘ

This cross-sectional study at Shifa Medical Complex enrolled 181 women aged 18 years and older presenting with acute pelvic pain and evaluated diagnostic findings from ultrasound, MRI, and CT in relation to demographics, symptoms, and imaging diagnoses. Ultrasound most often showed normal findings (34.8%), with uterine fibroids (23.2%) and ovarian cysts (17.1%) next, whereas MRI found uterine fibroids (31.7%) and endometriosis (26.7%) among the most frequent, and CT highlighted adnexal masses (30.0%) and ectopic pregnancies (22.5%). Imaging diagnoses were significantly associated with symptoms including dyspareunia and dysmenorrhea (p<0.05), and diagnostic performance favored MRI (sensitivity 92.5%, specificity 85.3%, PPV 88.7%) over ultrasound and CT. A key limitation is that the abstract does not specify a reference standard for confirming diagnoses beyond the reported imaging interpretations. This paper is centrally about endometriosis — MRI diagnosis of endometriosis was reported as a predominant imaging finding among gynecological causes of acute pelvic pain.

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Abstract

Background: Acute pelvic pain in women often necessitates prompt and accurate diagnosis to initiate appropriate treatment. Imaging modalities such as ultrasound, MRI, and CT scans play crucial roles in identifying underlying gynecological causes. Methods: This cross-sectional study was conducted at Shifa Medical Complex, Gaza, Palestine, involving 181 female patients aged 18 years and above presenting with acute pelvic pain. Data collection included demographic details, clinical symptoms, and imaging findings from ultrasound, MRI, and CT scans. Statistical analyses, including chi-square tests and diagnostic performance metrics, assessed the associations and diagnostic accuracy of imaging modalities. Results: Most participants were young adults (mean age 26.99 ± 5.81 years) predominantly without significant medical conditions (93.3%). Ultrasound revealed normal findings in 34.8% of cases, followed by uterine fibroids (23.2%) and ovarian cysts (17.1%). MRI identified uterine fibroids (31.7%) and endometriosis (26.7%) as predominant, while CT scans highlighted adnexal masses (30.0%) and ectopic pregnancies (22.5%). Significant associations (p < 0.05) were found between imaging diagnoses and clinical symptoms such as dyspareunia and dysmenorrhea. Diagnostic accuracy metrics showed ultrasound with sensitivity of 86.4%, specificity of 78.2%, and positive predictive value (PPV) of 81.6%; MRI with sensitivity of 92.5%, specificity of 85.3%, and PPV of 88.7%; and CT scan with sensitivity of 78.9%, specificity of 71.4%, and PPV of 74.6%. Conclusion: Imaging modalities, particularly MRI, demonstrated high sensitivity and specificity in diagnosing gynecological causes of acute pelvic pain. These findings underscore the importance of utilizing appropriate imaging techniques for accurate and timely management of patients presenting with acute pelvic pain.
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Abstract Background: Acute pelvic pain in women often necessitates prompt and accurate diagnosis to initiate appropriate treatment. Imaging modalities such as ultrasound, MRI, and CT scans play crucial roles in identifying underlying gynecological causes. Methods: This cross-sectional study was conducted at Shifa Medical Complex, Gaza, Palestine, involving 181 female patients aged 18 years and above presenting with acute pelvic pain. Data collection included demographic details, clinical symptoms, and imaging findings from ultrasound, MRI, and CT scans. Statistical analyses, including chi-square tests and diagnostic performance metrics, assessed the associations and diagnostic accuracy of imaging modalities. Results: Most participants were young adults (mean age 26.99 ± 5.81 years) predominantly without significant medical conditions (93.3%). Ultrasound revealed normal findings in 34.8% of cases, followed by uterine fibroids (23.2%) and ovarian cysts (17.1%). MRI identified uterine fibroids (31.7%) and endometriosis (26.7%) as predominant, while CT scans highlighted adnexal masses (30.0%) and ectopic pregnancies (22.5%). Significant associations (p < 0.05) were found between imaging diagnoses and clinical symptoms such as dyspareunia and dysmenorrhea. Diagnostic accuracy metrics showed ultrasound with sensitivity of 86.4%, specificity of 78.2%, and positive predictive value (PPV) of 81.6%; MRI with sensitivity of 92.5%, specificity of 85.3%, and PPV of 88.7%; and CT scan with sensitivity of 78.9%, specificity of 71.4%, and PPV of 74.6%. Conclusion: Imaging modalities, particularly MRI, demonstrated high sensitivity and specificity in diagnosing gynecological causes of acute pelvic pain. These findings underscore the importance of utilizing appropriate imaging techniques for accurate and timely management of patients presenting with acute pelvic pain.

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endometriosisdysmenorrheadyspareunia

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