DIAGNOSTIC ACCURACY OF DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING IN DETECTING DEEP MYOMETRIAL INVASION BY ENDOMETRIAL TUMOR TAKING HISTOPATHOLOGY AS GOLD STANDARD

Objective: To evaluate the diagnostic accuracy of DW-MRI in detecting deep myometrial invasion in endometrial carcinoma, using histopathology as the reference standard. Methods: This cross-sectional validation study was conducted at the Department of Radiology, Hayatabad Medical Complex, Peshawar, from January to June 2023. A total of 124 women (aged 30–70 years) with biopsy-proven endometrial carcinoma scheduled for hysterectomy were enrolled. DW-MRI findings were interpreted by an experienced radiologist and compared with postoperative histopathological results. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall diagnostic accuracy were calculated. Results: DW-MRI demonstrated a sensitivity of 81.5% (95% CI: 72.1–88.9%) and a specificity of 87.5% (95% CI: 71.0–96.5%) in detecting deep myometrial invasion. The positive predictive value was 94.9%, and the negative predictive value was 62.2%, with an overall diagnostic accuracy of 83.1%. Performance was superior in postmenopausal women and low-grade tumors. Conclusion: DW-MRI exhibits high diagnostic accuracy in assessing deep myometrial invasion in endometrial carcinoma, supporting its role as a reliable preoperative imaging modality. Its non-invasive nature and high reproducibility make it a valuable tool in clinical practice.

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Publication Details

Journal
Khyber journal of medical sciences.
Published
2025-09-30
DOI
https://doi.org/10.70520/kjms.v18i3.713
Primary Topic
Endometrial and Cervical Cancer Treatments
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article

DIAGNOSTIC ACCURACY OF DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING IN DETECTING DEEP MYOMETRIAL INVASION BY ENDOMETRIAL TUMOR TAKING HISTOPATHOLOGY AS GOLD STANDARD

Ghazala Wahid, Naila Tamkeen, Arif Jawaid, Saif Ur Rehman et al.
Khyber journal of medical sciences.
Endometrial and Cervical Cancer Treatments
article

DIAGNOSTIC ACCURACY OF DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING IN DETECTING DEEP MYOMETRIAL INVASION BY ENDOMETRIAL TUMOR TAKING HISTOPATHOLOGY AS GOLD STANDARD

Ghazala Wahid, Naila Tamkeen, Arif Jawaid, Saif Ur Rehman, Ayesha Sajid, Gul E Lala Noman
article en

Abstract

Objective: To evaluate the diagnostic accuracy of DW-MRI in detecting deep myometrial invasion in endometrial carcinoma, using histopathology as the reference standard. Methods: This cross-sectional validation study was conducted at the Department of Radiology, Hayatabad Medical Complex, Peshawar, from January to June 2023. A total of 124 women (aged 30–70 years) with biopsy-proven endometrial carcinoma scheduled for hysterectomy were enrolled. DW-MRI findings were interpreted by an experienced radiologist and compared with postoperative histopathological results. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and overall diagnostic accuracy were calculated. Results: DW-MRI demonstrated a sensitivity of 81.5% (95% CI: 72.1–88.9%) and a specificity of 87.5% (95% CI: 71.0–96.5%) in detecting deep myometrial invasion. The positive predictive value was 94.9%, and the negative predictive value was 62.2%, with an overall diagnostic accuracy of 83.1%. Performance was superior in postmenopausal women and low-grade tumors. Conclusion: DW-MRI exhibits high diagnostic accuracy in assessing deep myometrial invasion in endometrial carcinoma, supporting its role as a reliable preoperative imaging modality. Its non-invasive nature and high reproducibility make it a valuable tool in clinical practice.

Khyber journal of medical sciences.Vol. 18(3)
Khyber Medical College (PK), Hayatabad Medical Complex (PK)
Openalex Percentile: Top 64%
Endometrial and Cervical Cancer Treatments
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DIAGNOSTIC ACCURACY OF DIFFUSION-WEIGHTED MAGNETIC RESONANCE IMAGING IN DETECTING DEEP MYOMETRIAL INVASION BY ENDOMETRIAL TUMOR TAKING HISTOPATHOLOGY AS GOLD STANDARD — Ghazala Wahid, Naila Tamkeen, et al. · Khyber journal of medical sciences. (2025) | TGRS Research Map | TGRS