Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI

Brunsing, Ryan L.; Schenker-Ahmed, Natalie M.; White, Nathan S.; Parsons, J. Kellogg; Kane, Christopher J.; Kuperman, Joshua; Bartsch, Hauke; Kader, A. Karim; Rakow‐Penner, Rebecca; Seibert, Tyler M.; Margolis, Daniel; Raman, Steven S.; McDonald, Carrie R.; Farid, Nikdokht; Kesari, Santosh; Hansel, Donna E.; Shabaik, Ahmed; Dale, Anders M.; Karow, David S.

doi:10.1002/jmri.25419

Cited by 57 publications

(59 citation statements)

References 73 publications

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“…Another compartmentalized model is RSI, initially developed for the brain, 23 but recently extended to the prostate. 24 In RSI, the diffusion signal is modeled as a mixture of up to eight components with varying degrees of diffusion restriction or hindrance. Each component describes the signal dependence on a specific tissue property (eg, cell size, density, orientation, etc.).…”

Section: Ivim Model and Vascularitymentioning

confidence: 99%

Diffusion MRI of cancer: From low to high b‐values

Tang

Zhou

2018

Magnetic Resonance Imaging

163

112

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Following its success in early detection of cerebral ischemia, diffusion-weighted imaging (DWI) has been increasingly used in cancer diagnosis and treatment evaluation. These applications are propelled by the rapid development of novel diffusion models to extract biologically valuable information from diffusion-weighted MR signals, and significant advance in MR hardware that has enabled image acquisition with high b-values. This article reviews recent technical developments and clinical applications in cancer imaging using DWI, with a special emphasis on high b-value diffusion models. The article is organized in four sections. First, we provide an overview of diffusion models that are relevant to cancer imaging. The model parameters are discussed in relation to three tissue properties – cellularly, vascularity, and microstructures. An emphasis is placed on characterization of microstructural heterogeneity, given its novelty and close relevance to cancer. Second, we illustrate diffusion MR clinical applications in each of the following three categories: (a) cancer detection and diagnosis; (b) cancer grading, staging, and classification; and (c) cancer treatment response prediction and evaluation. Third, we discuss several practical issues, including selection of image acquisition parameters, reproducibility and reliability, motion management, image distortion, etc., that are commonly encountered when applying DWI to cancer in clinical settings. Lastly, we highlight a few ongoing challenges and provide some possible future directions, particularly in the area of establishing standards via well-organized multi-center clinical trials to accelerate clinical translation of advanced DWI techniques to improving cancer care on a large scale.

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Section: Ivim Model and Vascularitymentioning

confidence: 99%

Diffusion MRI of cancer: From low to high b‐values

Tang

Zhou

2018

Magnetic Resonance Imaging

163

112

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“…Once current technical challenges will be solved, one can regard PET/MRI as the ideal all-in-one examination to assess PCa both in locoregional and panoramic terms. Table 4 shows an overview of goals, derived parameters, and promising achievements of these new strategies as can be appreciated from relevant literature results [52][53][54][55][56][57][58][59][60]. In general, studies on advanced techniques provide conflicting results and are affected by limitations in design (most of them are based on small single-centre cohorts) and lack of technical standardisation, thus emphasising the need for further and robust validation.…”

Section: Different-is-better Strategiesmentioning

confidence: 99%

Evolution of prostate MRI: from multiparametric standard to less-is-better and different-is better strategies

et al. 2019

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Multiparametric magnetic resonance imaging (mpMRI) has become the standard of care to achieve accurate and reproducible diagnosis of prostate cancer. However, mpMRI is quite demanding in terms of technical rigour, patient's tolerability and safety, expertise in interpretation, and costs. This paper reviews the main technical strategies proposed as less-is-better solutions for clinical practice (non-contrast biparametric MRI, reduction of acquisition time, abbreviated protocols, computer-aided diagnosis systems), discussing them in the light of the available evidence and of the concurrent evolution of Prostate Imaging Reporting and Data System (PI-RADS). We also summarised research results on those advanced techniques representing an alternative different-is-better line of the still ongoing evolution of prostate MRI (quantitative diffusion-weighted imaging, quantitative dynamic contrast enhancement, intravoxel incoherent motion, diffusion tensor imaging, diffusional kurtosis imaging, restriction spectrum imaging, radiomics analysis, hybrid positron emission tomography/MRI).

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“…Advancements in imaging technologies allow new approaches for detecting, measuring and analyzing a wide range of health information, including quantitative and qualitative analysis of the brain, neurological, cardiovascular, endocrine, liver disease, body composition, and tumor detection 22,23,24,25,26,27 . Oncology has been a major beneficiary of early cancer detection and therapy management 22,28 .…”

Section: Introductionmentioning

confidence: 99%

“…Detection of tumor tissues is enhanced by the use of whole body diffusion-weighted imaging (DWI) which enables probing the underlying structure of tissue at a cellular level via the movement of water molecules distinguishing tissues with high cellularity from those that do not. Cardiac structure and function can be evaluated utilizing short and long axis views of the heart obtained using Cardiac CINE45,68 .…”

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confidence: 99%

Precision Medicine Advancements Using Whole Genome Sequencing, Noninvasive Whole Body Imaging, and Functional Diagnostics

Hou

Martin

et al. 2018

Preprint

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We report the results of a three-year precision medicine study that enrolled 1190 presumed healthy participants at a single research clinic. To enable a better assessment of disease risk and improve diagnosis, a precision health platform that integrates non-invasive functional measurements and clinical tests combined with whole genome sequencing (WGS) was developed. The platform included WGS, comprehensive quantitative non-contrast whole body (WB) and brain magnetic resonance imaging/angiography (MRI/MRA), computed tomography (CT) coronary artery calcium scoring, electrocardiogram, echocardiogram, continuous cardiac monitoring, clinical laboratory tests, and metabolomics. In our cohort, 24.3% had medically significant genetic findings (MSF) which may contribute to increased risk of disease. A total of 206 unique medically significant variants in 111 genes were identified, and forty individuals (3.4%) had more than one MSF. Phenotypic testing revealed: 34.2% of our cohort had a metabolomics profile suggestive of insulin resistance, 29.2% had elevated liver fat identified by MRI, 16.4% had clinically important cardiac structure or cardiac function abnormalities on cardiac MRI or ECHO, 8.8% had a high cardiovascular risk on CT coronary artery calcium scoring (Agatston calcium score > 400, Relative Risk of 7.2), 8.0% had arrhythmia found on continuous rhythm monitoring, 6.5% had cardiac conduction disorders found on EKG, 2% had previously undetected tumors detected by WB MRI, and 2.5% had previously undetected aneurysms detected by non-contrast MRI/MRA. Using family histories, personal histories, and test results, clinical and phenotypic findings were correlated with genomic findings in 130 study participants (63.1%) with high to moderate penetrance variants, suggesting the precision health platform improves the diagnostic process in asymptomatic individuals who were at risk. Cardiovascular and endocrine diseases achieved considerable clinical associations between MSFs and clinical phenotypes (89% and 72%, respectively). These findings demonstrate the value of integrating WGS and noninvasive clinical assessments for a rapid and integrated point-of-care clinical diagnosis of age-related diseases that contribute to premature mortality.

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Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI

Cited by 57 publications

References 73 publications

Diffusion MRI of cancer: From low to high b‐values

Diffusion MRI of cancer: From low to high b‐values

Evolution of prostate MRI: from multiparametric standard to less-is-better and different-is better strategies

Precision Medicine Advancements Using Whole Genome Sequencing, Noninvasive Whole Body Imaging, and Functional Diagnostics

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