A DTI study to probe tumor microstructure and its connection with hypoxia

Majumdar, Shreyan; Kotecha, Mrignayani; Triplett, William; Epel, Boris; Halpern, Howard J.

doi:10.1109/embc.2014.6943696

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…These novel findings reached significance with a negative correlation in terms of both FA and Cs, and a positive correlation in terms of Cp, RD, and MD. By accepting the concept that DTI parameters represent some aspects of histological tumor organization, 14,22 we may speculate about the different subtypes of meningiomas that were included in our cohort study and their different responses to GKRS.…”

Section: Discussionmentioning

confidence: 99%

Prognostic value of diffusion tensor imaging parameters for Gamma Knife radiosurgery in meningiomas

Speckter

Bido

Hernandez

et al. 2016

JNS

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OBJECTIVEDiffusion tensor imaging (DTI) parameters are able to differentiate between meningioma subtypes. The hypothesis that there is a correlation between DTI parameters and the change in tumor size after Gamma Knife radiosurgery (GKRS) was analyzed.METHODSDTI parameters were measured using MRI before GKRS in 26 patients with meningiomas. The findings were correlated with the change in tumor size after treatment as measured at the last follow-up (range 12.5–45 months).RESULTSOnly those meningiomas that showed the highest fractional anisotropy (FA), the lowest spherical index of the tensor ellipsoid (Cs), and the lowest radial diffusivity (RD) either increased or remained stable in terms of volume, whereas all other meningiomas decreased in volume. The correlation between the DTI parameters (correlation values of −0.81 for FA, 0.75 for Cs, 0.66 for RD, and 0.66 for mean diffusivity) and the rate of volume change per month was significant (p ≤ 0.001). Other factors, including original tumor size, prescription dose, and patient age, did not correlate significantly.CONCLUSIONSMeningiomas that show high FA values—as well as low Cs, low RD, and low mean diffusivity values—do not respond as well to GKRS in comparison with meningiomas with low FA values. This finding might be due to their higher content level of fibrous tissue. In particular, the meningioma with the highest FA value (0.444) considerably increased in volume (by 32.3% after 37 months), whereas the meningioma with the lowest FA value (0.151) showed the highest rate of reduction (3.3% per month) in this study.

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Section: Discussionmentioning

confidence: 99%

Prognostic value of diffusion tensor imaging parameters for Gamma Knife radiosurgery in meningiomas

Speckter

Bido

Hernandez

et al. 2016

JNS

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“…T 2 was calculated using the following equation: S1). 50,55 Finally, using a validated 56 IDL-based MRI analysis software version 00020170123 (http://marecilab.mbi.ufl.edu/software/MAS; last accessed March 30, 2017), mean diffusivity, radial diffusivity, fractional anisotropy (FA), and eigenvalues (l1, l2, l3) were all determined within a region of interest in posterior compartment muscles (GAS-soleus complex). Mean diffusivity and radial diffusivity were calculated using (l1 þ l2 þ l3/3) and (l2 þ l3/2), respectively.…”

Section: Mr Analysismentioning

confidence: 99%

Magnetic Resonance Monitoring of Disease Progression in mdx Mice on Different Genetic Backgrounds

Vohra

Batra

Forbes

et al. 2017

The American Journal of Pathology

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Genetic modifiers alter disease progression in both preclinical models and subjects with Duchenne muscular dystrophy (DMD). Using multiparametric magnetic resonance (MR) techniques, we compared the skeletal and cardiac muscles of two different dystrophic mouse models of DMD, which are on different genetic backgrounds, the C57BL/10ScSn-Dmdmdx (B10-mdx) and D2.B10-Dmdmdx (D2-mdx). The proton transverse relaxation constant (T) using both MR imaging and spectroscopy revealed significant age-related differences in dystrophic skeletal and cardiac muscles as compared with their age-matched controls. D2-mdx muscles demonstrated an earlier and accelerated decrease in muscle T compared with age-matched B10-mdx muscles. Diffusion-weighted MR imaging indicated differences in the underlying muscle structure between the mouse strains. The fractional anisotropy, mean diffusion, and radial diffusion of water varied significantly between the two dystrophic strains. Muscle structural differences were confirmed by histological analyses of the gastrocnemius, revealing a decreased muscle fiber size and increased fibrosis in skeletal muscle fibers of D2-mdx mice compared with B10-mdx and control. Cardiac involvement was also detected in D2-mdx myocardium based on both decreased function and myocardial T. These data indicate that MR parameters may be used as sensitive biomarkers to detect fibrotic tissue deposition and fiber atrophy in dystrophic strains.

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“…Microstructure, [262] fibrosis, [263] tumour grading, [264]prognosis a) Intracellular pH (pHi): Intracellular pH (pHi) varies in many disease states, including cancer, affecting many biological processes such as enzymatic reaction rates, energy metabolism and reactive oxygen species production. Therefore, pHi is a known biomarker of altered cellular function and of response to interventions such as radiation therapy.…”

Section: Tissue Perfusion Tissue Perfusionmentioning

confidence: 99%

Optical and magnetic resonance imaging approaches for investigating the tumour microenvironment: state-of-the-art review and future trends

Prasad¹,

Chandra²,

Cavo³

et al. 2020

Nanotechnology

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The tumour microenvironment (TME) strongly influences tumorigenesis and metastasis. Two of the most characterized properties of the TME are acidosis and hypoxia, both of which are considered hallmarks of tumours as well as critical factors in response to anticancer treatments. Currently, various imaging approaches exist to measure acidosis and hypoxia in the TME, including magnetic resonance imaging (MRI), positron emission tomography and optical imaging. In this review, we will focus on the latest fluorescent-based methods for optical sensing of cell metabolism and MRI as diagnostic imaging tools applied both in vitro and in vivo. The primary emphasis will be on describing the current and future uses of systems that can measure intra- and extra-cellular pH and oxygen changes at high spatial and temporal resolution. In addition, the suitability of these approaches for mapping tumour heterogeneity, and assessing response or failure to therapeutics will also be covered.

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A DTI study to probe tumor microstructure and its connection with hypoxia

Cited by 5 publications

References 18 publications

Prognostic value of diffusion tensor imaging parameters for Gamma Knife radiosurgery in meningiomas

Prognostic value of diffusion tensor imaging parameters for Gamma Knife radiosurgery in meningiomas

Magnetic Resonance Monitoring of Disease Progression in mdx Mice on Different Genetic Backgrounds

Optical and magnetic resonance imaging approaches for investigating the tumour microenvironment: state-of-the-art review and future trends

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