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The Clinical Value of Transvaginal Sonography Combined with Magnetic Resonance Imaging in Diagnosis of Deep Invasive Endometriosis in Pelvic Cavity

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Objective: The objective of this study is to analyze the diagnostic value of transvaginal sonography (TVS), magnetic resonance imaging (MRI) and their combination in patients with deep invasive endometriosis (DIE) in pelvic cavity. Method: In this study, 235 patients with DIE were selected as the study objects, and the lesion location of the patients was determined by TVS, MRI, and combined examination before surgery. According to the actual situation of the patient, laparoscopic or open surgery was performed to remove the lesion tissue, which was regarded as the gold standard. The sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio and negative likelihood ratio of TVS, MRI, and combined diagnosis were compared. In addition, Kappa test was adopted to compare the consistency between different diagnostic methods and the gold standard. Results: The total Se of the DIE detected by THV was 91.61%, and the Sp was 90.74%. The total Se of DIE detected by MRI was 95.76%, and the Sp was 92.07%. The total Se of DIE detected by THV combined with MRI was 96.47%, and the Sp was 93.41%. The LR value of DIE detected by TVS was 0.21, the LR value detected by MRI was 0.18, and the LR value detected by combined detection was 0.13. The κ coefficient of DIE detected by TVS was 0.70, the κ coefficient detected by MRI was 0.73, and the κ coefficient by combined detection was 0.79. Conclusion: TVS combined with MRI to detect DIE has a higher sensitivity and specificity, a higher positive detection rate, and a higher consistency with the diagnostic results of gold standard.

Keywords: COMBINED DIAGNOSIS; DEEP INVASIVE ENDOMETRIOSIS IN PELVIC CAVITY; MRI; TVS

Document Type: Research Article

Publication date: 01 February 2021

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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