Study design: Retrospective cohort study
Period: January to December 2017.
Study population: All patients discussed at Endometriosis MDT in a tertiary referral hospital centre, n= 85. 35 patients excluded due to non-surgical management or loss to follow up.
Procedure: Local MRI protocol adhered.
Patient prep - bladder emptying and administration of anti-peristaltic agent (Buscopan).
Image Sequences - T2 (Sag, Axial, Axial FATSAT), T1 (Axial, Axial FAT SAT, Sag FAT SAT), TRUFI coronal and T1 VIBE FATSAT Sag.
Fig. 3: T2w Sagittal view of Case 1. Infiltrative endometriosis with full thickness sigmoid colon involvement.
References: Department of Radiology, University Hospital North Midlands 2019.
Fig. 4: T2w Axial view of Case 1. Infiltrative endometriosis with full thickness sigmoid colon involvement.
References: Department of Radiology, University Hospital of North Midlands 2019
Fig. 5: T1w FATSAT axial view of Case 1. Infiltrative endometriosis with full thickness sigmoid colon involvement.
References: Department of Radiology, University Hospital North Midlands 2019
Fig. 6: T1w VIBE FATSAT sagittal view. Case of infiltrative disease with full thickness involvement of the sigmoid colon.
References: Department of Radiology, University Hospitals North Midlands 2019
Comparative analysis of MRI findings performed using surgical findings as gold standard by 3 independent reported including 2 radiologists and a surgeon.
Keywords identified to established positive finding
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MRI reporting
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Surgical reporting
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Subperitoneal invasion >5mm in depth
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Shavings
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‘’Deep infiltrating disease’’
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Disc resection
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Bowel resection
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Deep infiltrating endometriosis
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Table 1. Keywords documented to established positive findings of deep infiltrative endometriosis.
Data entry and analysis: Details of all patients including the MRI and surgical findings was entered and documented in a proforma using Microsoft Excel and statistically processed using SPSS for Windows. Variables were plotted and analysed using Chi Square and Fisher exact test. A P-value of less than 0.05 was considered statistically significant. The percentage value of Sensitivity, Specificity, Positive predictive value, Negative predictive value and Accuracy were calculated using surgical diagnosis as the reference standard.