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Title: Diagnostic accuracy of diffusion weighted imaging on MRI in suspected cases of ovarian cancer, keeping histopathology as gold standard.
Authors: Maryam Latif, Salahuddin Balooch, Zeeshan Ali, Umar Amin, Kiran Zafar, Muhammad Usman Khan
Journal: The Professional Medical Journal (TPMJ)
Publisher: Independent Medical College, Faisalabad- Pakistan
Country: Pakistan
Year: 2024
Volume: 31
Issue: 3
Language: English
DOI: 10.29309/TPMJ/2024.31.03.7953
Keywords: magnetic resonance imagingHistopathologyovarian cancer
Objective: To assess the diagnostic accuracy of diffusion weighted imaging on MRI in patients of ovarian cancer with histopathology considered as gold standard. Study Design: Cross-sectional study. Setting: Department of Radiology, Tertiary Care Hospital Kharian. Period: February 2022 to August 2022. Material & Methods: Non-probability, consecutive sampling was performed from 60 patients. After receiving informed consents, the suspected female patients with age 15 to 65 years went under MRI. The results were compared with histopathological findings and diagnostic potential of MRI was calculated by 2x2 table. The findings of both the modalities were compared by correlation analysis with p<0.05 considered as significant. Results: The sensitivity and specificity of MRI were estimated to be 92.68% and 73.68%. The positive predictive value and negative predictive value were estimated to be 88.37% and 82.35%. The diagnostic accuracy was found to be 86.66%. The findings of MRI and histopathology were significantly (p<0.05) correlated with a value of 0.685. Conclusion: The use of MRI is highly recommended in diagnosis of ovarian cancer.
To assess the diagnostic accuracy of diffusion weighted imaging on MRI in patients of ovarian cancer with histopathology considered as gold standard.
Cross-sectional study conducted at the Department of Radiology, Tertiary Care Hospital Kharian from February 2022 to August 2022. 60 female patients aged 15-65 years with suspected ovarian cancer underwent MRI. Results were compared with histopathological findings using a 2x2 table. Diagnostic potential was calculated, and findings were correlated with p<0.05 considered significant.
graph TD;
A["Patient Recruitment Suspected Ovarian Cancer, Age 15-65"] --> B["Informed Consent & Ethical Approval"];
B --> C["DW-MRI Scan on 1.5 Tesla Scanner"];
C --> D["Image Processing and Reporting"];
D --> E["Histopathological Analysis"];
E --> F["Comparison of DW-MRI and Histopathology Results"];
F --> G["Calculation of Diagnostic Metrics: Sensitivity, Specificity, PPV, NPV, Accuracy"];
G --> H["Correlation Analysis between Modalities"];
H --> I["Conclusion on Diagnostic Accuracy"];
Ovarian cancer is a significant cause of morbidity and mortality. The study highlights the utility of DW-MRI in diagnosing ovarian cancer, showing a high correlation with histopathology. While false positives can occur due to conditions like teratoma or adenomyosis, DW-MRI's non-invasive nature and diagnostic potential make it a valuable tool for treatment and surgical planning.
The sensitivity of MRI was 92.68%, specificity was 73.68%, positive predictive value was 88.37%, and negative predictive value was 82.35%. The diagnostic accuracy was 86.66%. MRI and histopathology findings were significantly correlated (p<0.05) with a correlation value of 0.685.
DW-MRI demonstrates high accuracy in diagnosing ovarian cancer and should be encouraged for its use due to its non-invasive nature and ability to provide results similar to histopathology, aiding in the reduction of mortality and morbidity.
1. The study included 60 patients. (Confirmed in Methods section)
2. The sensitivity of MRI was estimated to be 92.68%. (Confirmed in Results section)
3. The study was conducted between February 2022 and August 2022. (Confirmed in Methods section)
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