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Updated: Aug 8, 2026

Registered Bioimaging of Nanomaterials for Diagnostic and Therapeutic Monitoring
Published on: December 9, 2010
Intravoxel incoherent motion MRI for the differentiation of benign, intermediate, and malignant solid soft-tissue
Haijun Wu1, Shuixing Zhang1, Changhong Liang1
1Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, P.R. China.
Purpose:
To determine the diagnostic potential of apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM)-derived parameters for the differentiation of benign, intermediate, and malignant solid soft-tissue tumors.
Materials And Methods:
The Institutional Review Board approved this prospective study, and informed consent was obtained. IVIM imaging was performed in 64 patients including 44 benign, 6 intermediate, and 14 malignant solid soft-tissue tumors at 1.5T. The IVIM parameters of the soft-tissue tumors were assessed using the Kruskal-Wallis test. The diagnostic performance of the parameters was evaluated using receiver operating characteristic (ROC) analysis.
Results:
The ADC and true diffusion coefficient (D) values of malignancies (1.28 ± 0.31, 1.06 ± 0.23 [×10-3 mm2 /sec]) were significantly lower than those of intermediate (1.49 ± 0.54, 1.30 ± 0.50 [×10-3 mm2 /sec]), or benign soft-tissue tumors (1.62 ± 0.37, 1.36 ± 0.33 [×10-3 mm2 /sec]) (P = 0.007 and P = 0.009, respectively). In the differential diagnosis of malignancies from benign tumors, ADC demonstrated the highest area under the curve (Az) value (Az = 0.793). The perfusion fraction (f) values of intermediate soft-tissue tumors (8.41 ± 2.73) were significantly different from those of benign and malignant tumors (14.70 ± 5.37 [P = 0.002]; 14.44 ± 5.31 [P = 0.021]). f showed the highest Az value in differentiating intermediate from benign, and malignant soft-tissue tumors (Az = 0.90, and Az = 0.833, respectively). The pseudodiffusion coefficient (D*) values of malignant soft-tissue tumors (144.40 ± 24.88 [×10-3 mm2 /sec]) were significantly higher than those of benign tumors (124.96 ± 26.24 [×10-3 mm2 /sec]) (P = 0.019).
Conclusion:
IVIM imaging may be helpful for differentiating benign, intermediate, and malignant solid soft-tissue tumors.
Level Of Evidence:
1 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2017;46:1611-1618.
Insights
Intravoxel incoherent motion (IVIM) imaging parameters, including apparent diffusion coefficient (ADC) and perfusion fraction (f), can help differentiate benign, intermediate, and malignant soft-tissue tumors.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Solid soft-tissue tumors require accurate differentiation for appropriate management.
- Distinguishing between benign, intermediate, and malignant tumors is clinically significant.
Purpose of the Study:
- To evaluate the diagnostic utility of apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM)-derived parameters in differentiating soft-tissue tumors.
- To assess the potential of these imaging parameters in classifying tumors as benign, intermediate, or malignant.
Main Methods:
- Prospective study involving 64 patients with solid soft-tissue tumors.
- IVIM imaging performed at 1.5T.
- Statistical analysis using Kruskal-Wallis test and receiver operating characteristic (ROC) analysis.
Main Results:
- ADC and true diffusion coefficient (D) values were significantly lower in malignant tumors compared to benign and intermediate tumors.
- Perfusion fraction (f) values differed significantly between intermediate tumors and both benign and malignant tumors.
- ADC showed high diagnostic performance in differentiating malignancies from benign tumors (Az=0.793), while f was effective in differentiating intermediate tumors (Az=0.90) and malignant tumors (Az=0.833).
Conclusions:
- IVIM imaging parameters, including ADC and f, demonstrate potential in differentiating benign, intermediate, and malignant solid soft-tissue tumors.
- These quantitative imaging metrics may aid in the non-invasive diagnosis and characterization of soft-tissue tumors.
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