Accuracy of high b-value diffusion-weighted MRI for prostate cancer detection: a meta-analysis

Godley, Keith; Syer, Tom; Toms, Andoni P.; Smith, Toby; Johnson, Glyn; Malcolm, Paul

doi:10.1016/j.crad.2016.06.014

Cited by 4 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The potential value of high b‐values for cancer detection has also been investigated in several other cancers . Despite some conflicting reports, the general consensus is that higher b‐values can provide better conspicuity for tumor detection, provided that an adequate SNR (eg, 5–10) can be maintained . This has led to recent adoption of high b‐value (1400–2000 s/mm 2 ) DWI in Prostate Imaging Reporting and Data System (PI‐RADS) Version 2 .…”

Section: Clinical Applicationsmentioning

confidence: 99%

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

Tang

Zhou

2018

Magnetic Resonance Imaging

154

112

View full text Add to dashboard Cite

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.

show abstract

Section: Clinical Applicationsmentioning

confidence: 99%

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

Tang

Zhou

2018

Magnetic Resonance Imaging

154

112

View full text Add to dashboard Cite

show abstract

“…At very low doses with iterative reconstruction, measured calculus size will artifactually decrease." In 2018, the prize was awarded to Dr Keith Craig Godley from Norfolk and Norwich University Hospitals in the UK for his article "Accuracy of high b-value diffusion-weighted MRI for prostate cancer detection: a meta-analysis" (25), in 2019 to Dr Isabelle De Kock from Ghent University Hospital, Ghent, Belgium, for her article "Feasibility study using iodine quantification on dual-energy CT enterography to distinguish normal small bowel from active inflammatory Crohn's disease" (26), and in 2020 to Dr Kim See Hyung from Kyungpook National University Hospital, Radiology, Republic of Korea, for his article "Determination of Gleason score discrepancy for risk stratification in magnetic resonance-ultrasound fusion prostate biopsy" (27).…”

Section: Acta Radiologica International Scientific Prizementioning

confidence: 99%

Acta Radiologica 2003–2017: a 15-year overview

Skjennald

2021

Acta Radiol

View full text Add to dashboard Cite

This review article is written as a contribution to the special issue presented in conjunction with the 100th anniversary of Acta Radiologica. An overview is given of what has happened with and in the journal during the 15 years from 2003 to 2017 and a resume is provided concerning the handling and flow of manuscripts, manuscript publication, scientific prizes awarded by the journal, and finally the process leading up to establishing the new open-access journal Acta Radiologica Short Reports/ Acta Radiologica Open.

show abstract

“…This feature may be a useful clinical tool. A recent meta-analysis reported that visual assessment of tumor diffusion might be more accurate than ROI measurements of ADC for PCa detection [38]. However, high signal intensities on DWI are not always reliable indicators of increased cellularity, and high b values images, ADC maps, and co-registered anatomical images should always be evaluated together ( Table 1).…”

Section: Biological Bases Of Dwimentioning

confidence: 99%

How clinical imaging can assess cancer biology

et al. 2019

View full text Add to dashboard Cite

Human cancers represent complex structures, which display substantial inter-and intratumor heterogeneity in their genetic expression and phenotypic features. However, cancers usually exhibit characteristic structural, physiologic, and molecular features and display specific biological capabilities named hallmarks. Many of these tumor traits are imageable through different imaging techniques. Imaging is able to spatially map key cancer features and tumor heterogeneity improving tumor diagnosis, characterization, and management. This paper aims to summarize the current and emerging applications of imaging in tumor biology assessment.

show abstract

Accuracy of high b-value diffusion-weighted MRI for prostate cancer detection: a meta-analysis

Cited by 4 publications

References 0 publications

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

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

Acta Radiologica 2003–2017: a 15-year overview

How clinical imaging can assess cancer biology

Contact Info

Product

Resources

About