Relationship between diffusion parameters derived from intravoxel incoherent motion MRI and perfusion measured by dynamic contrast‐enhanced MRI of soft tissue tumors
- 25 November 2015
- journal article
- research article
- Published by Wiley in NMR in Biomedicine
- Vol. 29 (1) , 6-14
Abstract
Our aim was to evaluate the link between diffusion parameters measured by intravoxel incoherent motion (IVIM) diffusion‐weighted imaging (DWI) and the perfusion metrics obtained with dynamic contrast‐enhanced (DCE) MRI in soft tissue tumors (STTs). Twenty‐eight patients affected by histopathologically confirmed STT were included in a prospective study. All patients underwent both DCE MRI and IVIM DWI. The perfusion fraction f, diffusion coefficient D and perfusion‐related diffusion coefficient D* were estimated using a bi‐exponential function to fit the DWI data. DCE MRI was acquired with a temporal resolution of 3–5 s. Maps of the initial area under the gadolinium concentration curve (IAUGC), time to peak (TTP) and maximum slope of increase (MSI) were derived using commercial software. The relationships between the DCE MRI and IVIM DWI measurements were assessed by Spearman's test. To exclude false positive results under multiple testing, the false discovery rate (FDR) procedure was applied. The Mann–Whitney test was used to evaluate the differences between all variables in patients with non‐myxoid and myxoid STT. No significant relationship was found between IVIM parameters and any DCE MRI parameters. Higher f and D*f values were found in non‐myxoid tumors compared with myxoid tumors (p = 0.004 and p = 0.003, respectively). MSI was significantly higher in non‐myxoid tumors than in myxoid tumors (p = 0.029). From the visual assessments of single clinical cases, both f and D*f maps were in satisfactory agreement with DCE maps in the extreme cases of an avascular mass and a highly vascularized mass, whereas, for tumors with slight vascularity or with a highly heterogeneous perfusion pattern, this association was not straightforward. Although IVIM DWI was demonstrated to be feasible in STT, our data did not support evident relationships between perfusion‐related IVIM parameters and perfusion measured by DCE MRI. Copyright © 2015 John Wiley & Sons, Ltd.Keywords
This publication has 41 references indexed in Scilit:
- Insights Into Quantitative Diffusion-Weighted MRI for Musculoskeletal Tumor ImagingAmerican Journal of Roentgenology, 2014
- Can MR Imaging Be Used to Predict Tumor Grade in Soft-Tissue Sarcoma?Radiology, 2014
- Current Imaging and Therapy of Malignant Soft Tissue Tumors and Tumor-like LesionsSeminars in Musculoskeletal Radiology, 2013
- Soft tissue sarcomas—New approaches to diagnosis and classificationCurrent Problems in Cancer, 2013
- Advances in magnetic resonance imaging of musculoskeletal tumoursOrthopaedics & Traumatology: Surgery & Research, 2013
- Musculoskeletal Tumors: How to Use Anatomic, Functional, and Metabolic MR TechniquesRadiology, 2012
- Therapeutic response in musculoskeletal soft tissue sarcomas: evaluation by MRINMR in Biomedicine, 2011
- Diffusion-Weighted Magnetic Resonance Imaging for the Evaluation of Musculoskeletal TumorsMagnetic Resonance Imaging Clinics of North America, 2011
- Soft-Tissue Tumors: Value of Static and Dynamic Gadopentetate Dimeglumine–enhanced MR Imaging in Prediction of MalignancyRadiology, 2004
- Effects of cell volume fraction changes on apparent diffusion in human cellsMagnetic Resonance Imaging, 2000