Insights into tissue microstructure using a double diffusion encoding sequence on a clinical scanner: Validation and application to experimental tumor models. Issue 4 (8th October 2019)

• Record Type: Journal Article
• Authors: Duchêne, Gaëtan; Abarca‐Quinones, Jorge; Leclercq, Isabelle; Duprez, Thierry; Peeters, Frank
• Is Part Of: Magnetic resonance in medicine. Volume 83:Issue 4(2020)
• Page Start: 1263
• Page End: 1276
• Publication Date: 2019-10-08
• Subjects: diffusion MRI -- double diffusion encoding -- microstructure -- PGSE -- tumors -- validation; Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.28012
• Languages: English
• ISSNs: 0740-3194

Abstract

Abstract : Purpose: To present a double diffusion encoding MRI sequence on a clinical scanner to analyze micro‐structure and micro‐vasculature of tumors. Methods: The sequence was tested on phantoms, asparaguses, and 2 tumors allografts in a rodent. Results were analyzed using an adapted VERDICT model to estimate microstructural parameters. The technical feasibility of the sequence on a 3T clinical system was assessed on a water phantom. The accuracy of cell size estimation was assessed on asparaguses by comparison with light microscopy. Cell size estimations were also validated when limiting relative angles of diffusion encodings to 0 and 180°. Sensitivities to restricted diffusion and incoherent flow from the vasculature were investigated in experimental tumor models. Values of microstructural parameters in viable and decaying tumor tissue were compared with those obtained from histological analysis. Results: Measurements on the water phantom revealed no significant sequence artifacts and accurate apparent diffusion coefficient values within a 4% relative error. In asparaguses, quartiles and medians of pore size distributions typically deviated less than 6% from light microscopy regardless of whether the full or reduced set of relative angles was used. Signal analyses in tumors showed mixed effects of both blood flow and diffusion restriction. Microstructural parameter estimations in tumors were consistent with histology and allowed clear and histology‐proven distinctions between decaying and viable tumor tissue. Conclusions: Double diffusion encoding with clinical gradients and scan times allows characterization of restricted diffusion and micro‐circulation flow in tumors. Our estimated microstructural parameters are promising for further investigations in assessing microstructural evolutions in tumors.