Title

Diagnostic accuracy of dynamic contrast-enhanced diffusion-weighted MRI: Endometrial lesions

Authors

Hari Singh¹, Shikha Singh², Nikhil Sharma¹, Deepak Agarwal^1,*, Dhruvilkumar Patel¹ & Amrita Kathuria¹ 

Affiliation

¹Department of Radiodiagnosis, SNMC, Agra, Uttar Pradesh, India; ²Department of obstetrics and Gynaecology, SNMC, Agra, Uttar Pradesh, India; *Corresponding author

Email

Hari Singh - E-mail: singhhariacademic@gmail.com

Shikha Singh - E-mail: drshikhasinghshikha@gmail.com

Nikhil Sharma - E-mail: niksnmc@gmail.com

Deepak Agarwal - E-mail: drdeepakagarwal50@gmail.com

Dhruvilkumar Patel - E-mail: dhruvilpateldp4117@gmail.com

Amrita Kathuria - E-mail: amritakathuria10760@gmail.com

Article Type

Research Article

Date

Received July 1, 2026; Revised July 31, 2026; Accepted July 31, 2026, Published July 31, 2026
 

Abstract

Dynamic contrast-enhanced (DCE) and diffusion-weighted imaging (DWI) magnetic resonance imaging are emerging as reliable non-invasive techniques for characterization of endometrial lesions. This prospective hospital-based study included 80 women with abnormal uterine bleeding who underwent pelvic MRI with DWI, ADC mapping and DCE sequences and findings were correlated with histopathology. Mean ADC values were significantly lower in endometrial cancer (0.86 ± 0.09 ×10⁻³ mm²/s) compared to normal endometrium (1.42 ± 0.15 ×10⁻³ mm²/s; p<0.001), with an optimal ADC cutoff ≤1.10 ×10⁻³ mm²/s yielding an AUC of 0.96. DCE-MRI demonstrated higher sensitivity (93.3%) and specificity (91.7%) than DWI alone and combined DCE+DWI analysis achieved diagnostic sensitivity of 95.2% for malignancy. Thus, data shows the ADC values showed significant inverse correlation with tumor grade, stage and lymph node involvement, indicating strong potential for non-invasive lesion characterization.

Keywords

Endometrial lesions, diffusion-weighted imaging (DWI), ADC, DCE-MRI, endometrial cancer, MRI pelvis, tumor grading, abnormal uterine bleeding, non-invasive diagnosis

Citation

Singh et al. Bioinformation 22(7): 3863-3867 (2026)

Edited by

Rashmi Laddha 

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.