Combining diffusion and perfusion differentiates tumor from bevacizumab-related imaging abnormality (bria)

Farid, Nikdokht; Almeida-Freitas, Daniela B.; White, Nathan S.; McDonald, Carrie R.; Kuperman, Joshua; Almutairi, Abdulrahman; Muller, Karra A.; Kesari, Santosh; Dale, Anders M.

doi:10.1007/s11060-014-1583-2

Cited by 14 publications

(20 citation statements)

References 18 publications

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“…Restriction spectrum imaging (RSI-MRI) is an advanced imaging technique that shows improved conspicuity and differentiation of solid tumors compared to traditional diffusion weighted imaging methods [10,11]. The RSI-MRI method can differentiate hindered vs. restricted diffusion, thought to correspond to the extracellular and intracellular water compartments, respectively [12].…”

Section: Introductionmentioning

confidence: 99%

Voxel Level Radiologic–Pathologic Validation of Restriction Spectrum Imaging Cellularity Index with Gleason Grade in Prostate Cancer

Yamin

Schenker-Ahmed

Shabaik

et al. 2016

Clinical Cancer Research

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Purpose: Restriction spectrum imaging (RSI-MRI), an advanced diffusion imaging technique, can potentially circumvent current limitations in tumor conspicuity, in vivo characterization, and location demonstrated by multiparametric magnetic resonance imaging (MP-MRI) techniques in prostate cancer detection. Prior reports show that the quantitative signal derived from RSI-MRI, the cellularity index, is associated with aggressive prostate cancer as measured by Gleason grade (GG). We evaluated the reliability of RSI-MRI to predict variance with GG at the voxel-level within clinically demarcated prostate cancer regions.Experimental Design: Ten cases were processed using whole mount sectioning after radical prostatectomy. Regions of tumor were identified by an uropathologist. Stained prostate sections were scanned at high resolution (75 mm/pixel). A grid of tiles corresponding to voxel dimensions was graded using the GG system. RSI-MRI cellularity index was calculated from presurgical prostate MR scans and presented as normalized z-score maps. In total, 2,795 tiles were analyzed and compared with RSI-MRI cellularity.Results: RSI-MRI cellularity index was found to distinguish between prostate cancer and benign tumor (t ¼ 25.48, P < 0.00001). Significant differences were also found between benign tissue and prostate cancer classified as low-grade (GG ¼ 3; t ¼ 11.56, P < 0.001) or high-grade (GG ! 4; t ¼ 24.03, P < 0.001). Furthermore, RSI-MRI differentiated between low and high-grade prostate cancer (t ¼ 3.23; P ¼ 0.003).Conclusions: Building on our previous findings of correlation between GG and the RSI-MRI among whole tumors, our current study reveals a similar correlation at voxel resolution within tumors. Because it can detect variations in tumor grade with voxel-level precision, RSI-MRI may become an option for planning targeted procedures where identifying the area with the most aggressive disease is important. Clin Cancer Res; 22(11); 2668-74. Ó2016 AACR.

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Section: Introductionmentioning

confidence: 99%

Voxel Level Radiologic–Pathologic Validation of Restriction Spectrum Imaging Cellularity Index with Gleason Grade in Prostate Cancer

Yamin

Schenker-Ahmed

Shabaik

et al. 2016

Clinical Cancer Research

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“…In fact, the presence of impeded diffusion following bevacizumab treatment of malignant gliomas correlated with improved overall survival, suggesting prognostic value. RSI demonstrated increased sensitivity in detecting areas of persistent restricted diffusion relative to conventional DWI, and when combined with relative cerebral blood volume measurements may be able to differentiate BRIA from residual tumor . Prior manuscripts have presented and discussed the promising results using RSI in intracranial neoplasms …”

Section: Interpretation Of Prostate Mri With Rsi: Existing Datamentioning

confidence: 99%

“…While the strength of RSI comes from being able to isolate specific water fractions (e.g., intracellular water), other diffusion‐based techniques may prove more powerful for certain pathological settings not focused on identifying highly cellular tissues. For example, conventional DWI proves to be better than RSI at identifying edema in patients with CNS malignancy . Future studies will be needed to clarify the pathological questions best suited to each unique diffusion‐based technique.…”

Section: Limitationsmentioning

confidence: 99%

“…RSI demonstrated increased sensitivity in detecting areas of persistent restricted diffusion relative to conventional DWI, and when combined with relative cerebral blood volume measurements may be able to differentiate BRIA from residual tumor. 45,46 Prior manuscripts have presented and discussed the promising results using RSI in intracranial neoplasms. 33,[45][46][47][48] In PCa, McCammack et al directly compared the detection capacity of RSI cellularity maps to that of quantitative maps from current mpMRI sequences, 40 namely DWI (ADC) and DCE (K trans , K ep , and V e ).…”

Section: Cancer Detectionmentioning

confidence: 99%

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Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI

Brunsing

Schenker-Ahmed

White

et al. 2016

J. Magn. Reson. Imaging

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Restriction spectrum imaging (RSI) is a novel diffusion-weighted magnetic resonance imaging technique that utilizes the mathematically distinct behavior of water diffusion in separable microscopic tissue compartments to highlight key aspects of the tissue microarchitecture with high conspicuity. RSI can be acquired in less than 5 minutes on modern scanners utilizing a surface coil. Multiple field gradients and high b-values in combination with post-processing techniques allow the simultaneous resolution of length-scale and geometric information, as well as compartmental and nuclear volume fraction filtering. RSI also employs a distortion correction technique and can thus be fused to high resolution T2 weighted images for detailed localization, which improves delineation of disease extension into critical anatomic structures. In this review we discuss the acquisition, post-processing, and interpretation of RSI for prostate MRI. We also summarize existing data demonstrating the applicability of RSI for prostate cancer detection, in vivo characterization, localization, and targeting.

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“…In neuro-oncology, cell density and prominent vascularization reflect heterogeneous patterns of malignancy than can be prognostically assessed by combinations of DWI and perfusion imaging 24 to differentiate tumor progression and therapy-related effects. 25 …”

Section: Y20mentioning

confidence: 99%

Introduction to Magnetic Resonance Imaging for Neurologists

Radue¹,

Weigel²,

Wiest³

et al. 2016

CONTINUUM: Lifelong Learning in Neurology

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Purpose of Review: In neuroradiology, highly sophisticated methods such as MRI are implemented to investigate different entities of the central nervous system and to acquire miscellaneous images where tissues display varying degrees of characteristic signal intensity or brightness. Compared to x-ray, CT, and ultrasound, MRI produces clearer images of tissues, body fluids, and fat. The basics of MRI may be unknown to neurologists; this article introduces MRI physics, techniques, and interpretation guidelines.

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Combining diffusion and perfusion differentiates tumor from bevacizumab-related imaging abnormality (bria)

Cited by 14 publications

References 18 publications

Voxel Level Radiologic–Pathologic Validation of Restriction Spectrum Imaging Cellularity Index with Gleason Grade in Prostate Cancer

Voxel Level Radiologic–Pathologic Validation of Restriction Spectrum Imaging Cellularity Index with Gleason Grade in Prostate Cancer

Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI

Introduction to Magnetic Resonance Imaging for Neurologists

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