Diagnostic Accuracy of Diffusion Weighted Magnetic Resonance Imaging in differentiation between Bbenign and Malignant Soft Tissue Tumors keeping Histopathology as Gold Standard
Abstract
Background & Objective: To determine diagnostic accuracy of Diffusion Weighted Magnetic Resonance Imaging indifferentiation between benign and malignant soft tissue tumors keeping histopathology as gold standard.Methodology: Atotal of 176 patients meeting inclusion criteria underwent MRI, including DWI sequences at b-values of0, 50, and 1000 s/mm² and ADC values were calculated from corresponding maps. ROI was placed on the solid tumorcomponent of mass. Post-contrast imaging was also performed. All MRIs were interpreted by blinded, qualifiedradiologists to ensure unbiased results. Definitive diagnoses were confirmed through histopathological analysis bycertified pathologists.Results: 98 (55.69%) were aged 13–40 years and 78 (44.1%) were 41–75 years, with a mean age of 40.62±10.13 years.There were 94 males (53.5%) and 82 females (46.5%). Tumor sizes ranged from 3.1 cm to 11.5 cm, with a mean size of6.3 cm. The average ADC value of benign masses (1.50 × 10⁻³ mm²/s) was higher than that of malignant masses (0.83 ×10⁻³ mm²/s). A cutoff ADC value of 1.1 × 10⁻³ mm²/s provided sensitivity of 85.51%, specificity of 86.84%, PPV of88.89%, NPV of 82.50%, and diagnostic accuracy of 85.88%. Histopathology showed 97 masses (55.3%) were malignantand 79 (44.7%) were benign.Conclusion: Diffusion-weighted MRI (DWI) is a non-invasive, cost-effective imaging tool with 85.5% sensitivity and86.8% specificity for evaluating soft tissue masses. It can aid early detection of malignant tumors, improving patientoutcomes through timely diagnosis.
Fields of Study & Subjects
MRI in cancer diagnosis
Sarcoma Diagnosis and Treatment
Radiomics and Machine Learning in Medical Imaging
Publication details
- Journal / source
- JAIMC Journal of Allama Iqbal Medical College
- Volume
- 23
- Issue
- 4
- Publication date
- 13 January 2026