Comparison between biparametric and multiparametric MR imaging of Prostate Imaging Reporting and Data System Version 2.1 in detection of prostate cancer

EL-Adalany, Mohamed Ali; EL-Razek, Ahmed Abd E L-khalek Abd; El-Diasty, Tarek; Elhendy, A. Gawad; EL-Metwally, Dina

doi:10.1186/s43055-021-00443-y

Cited by 7 publications

(7 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the recent years, there has been also interest in the evaluation of inter reader agreement for PI-RADS v.2 and v.2.1 scoring systems with results showing substantial to excellent concordance 9,10 and in the comparison between biparametric MRI ( i.e., without DCE acquisitions) and mpMRI, with some evidence 11 suggesting similar sensitivity (94%) and diagnostic accuracy (87%) for both techniques when comparing PI-RADS 1 and 2 lesions vs PI-RADS 3, 4 and 5 lesions.…”

Section: Introductionmentioning

confidence: 99%

Prostate MRI quality: a critical review of the last 5 years and the role of the PI-QUAL score

Giganti

Kasivisvanathan

Kirkham

et al. 2021

The British Journal of Radiology

View full text Add to dashboard Cite

There is increasing interest in the use of multiparametric magnetic resonance imaging (mpMRI) in the prostate cancer pathway. The European Association of Urology (EAU) and the British Association of Urological Surgeons (BAUS) now advise mpMRI prior to biopsy, and the Prostate Imaging Reporting and Data System (PI-RADS) recommendations set out the minimal technical requirements for the acquisition of mpMRI of the prostate. The widespread and swift adoption of this technique has led to variability in image quality. Suboptimal image acquisition reduces the sensitivity and specificity of mpMRI for the detection and staging of clinically significant prostate cancer. This critical review outlines the studies aimed at improving prostate MR quality that have been published over the last 5 years. These span from the use of specific MR sequences, magnets and coils to patient preparation. The rates of adherence of prostate mpMRI to technical standards in different cohorts across the world are also discussed. Finally, we discuss the first standardised scoring system (i.e., Prostate Imaging Quality, PI-QUAL) that has been created to evaluate image quality, although further iterations of this score are expected in the future.

show abstract

Section: Introductionmentioning

confidence: 99%

Prostate MRI quality: a critical review of the last 5 years and the role of the PI-QUAL score

Giganti

Kasivisvanathan

Kirkham

et al. 2021

The British Journal of Radiology

View full text Add to dashboard Cite

show abstract

“…3 Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia. 4 Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia. 5 Department of Pathology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.…”

Section: Abbreviationsmentioning

confidence: 99%

“…This has been motivated by a desire to reduce time and costs, alongside reducing the risks associated with contrast agent injection. Studies have been performed to compare bpMRI against mpMRI, with some concluding they are comparable [2][3][4][5], whilst others have concluded that mpMRI is better because DCE MRI is beneficial for assessing higher PI-RADS lesions [4,6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Semi-quantitative and quantitative dynamic contrast-enhanced (DCE) MRI parameters as prostate cancer imaging biomarkers for biologically targeted radiation therapy

et al. 2022

View full text Add to dashboard Cite

Background Biologically targeted radiation therapy treatment planning requires voxel-wise characterisation of tumours. Dynamic contrast enhanced (DCE) DCE MRI has shown promise in defining voxel-level biological characteristics. In this study we consider the relative value of qualitative, semi-quantitative and quantitative assessment of DCE MRI compared with diffusion weighted imaging (DWI) and T2-weighted (T2w) imaging to detect prostate cancer at the voxel level. Methods Seventy prostate cancer patients had multiparametric MRI prior to radical prostatectomy, including T2w, DWI and DCE MRI. Apparent Diffusion Coefficient (ADC) maps were computed from DWI, and semi-quantitative and quantitative parameters computed from DCE MRI. Tumour location and grade were validated with co-registered whole mount histology. Kolmogorov–Smirnov tests were applied to determine whether MRI parameters in tumour and benign voxels were significantly different. Cohen’s d was computed to quantify the most promising biomarkers. The Parker and Weinmann Arterial Input Functions (AIF) were compared for their ability to best discriminate between tumour and benign tissue. Classifier models were used to determine whether DCE MRI parameters improved tumour detection versus ADC and T2w alone. Results All MRI parameters had significantly different data distributions in tumour and benign voxels. For low grade tumours, semi-quantitative DCE MRI parameter time-to-peak (TTP) was the most discriminating and outperformed ADC. For high grade tumours, ADC was the most discriminating followed by DCE MRI parameters Ktrans, the initial rate of enhancement (IRE), then TTP. Quantitative parameters utilising the Parker AIF better distinguished tumour and benign voxel values than the Weinmann AIF. Classifier models including DCE parameters versus T2w and ADC alone, gave detection accuracies of 78% versus 58% for low grade tumours and 85% versus 72% for high grade tumours. Conclusions Incorporating DCE MRI parameters with DWI and T2w gives improved accuracy for tumour detection at a voxel level. DCE MRI parameters should be used to spatially characterise tumour biology for biologically targeted radiation therapy treatment planning.

show abstract

“…Among the various diagnostic tools available, multiparametric magnetic resonance imaging (mpMRI) has been widely used for prostate-cancer detection and risk stratification. According to a recent meta-analysis, the sensitivity and specificity of mpMRI reached 0.87 and 0.68, respectively, and especially accessing highly malignant lesion, mpMRI had better diagnostic accuracy compared to biparametric MRI [6,7].. The application of mpMRI for diagnosing prostate cancer has been recommended in the National Comprehensive Cancer Network, European Association of Urology, and European Society of Urogenital Radiology guidelines [8].…”

Section: Introductionmentioning

confidence: 99%

In prostatic transition zone lesions (PI-RADS v2.1): which subgroup should be biopsied?

Kim

Seo

et al. 2021

Egypt J Radiol Nucl Med

View full text Add to dashboard Cite

Background The study aimed to compare the diagnostic performance of T2-weighted imaging (T2WI) score 3 transition zone (TZ) lesions between Prostate Imaging and Reporting Data System (PI-RADS) v2.1 and modified PI-RADS v2.1-B. Results Among TZ lesions (n = 78), 47 (60.0%) had T2WI score of 3, and 16 of the 47 (34.0%) were malignant. The rate of malignancy was 8.8% in PI-RADS category 3A, 100% in PI-RADS category 3B, and 100% in PI-RADS category 4. The apparent diffusion coefficient value of PI-RADS category 3B (0.934 ± 0.158 × 10−3 mm2/s) showed significant difference with that of PI-RADS category 3A (1.098 ± 0.146 × 10−3 mm2/s) but none with PI-RADS category 4 (0.821 ± 0.091 × 10−3 mm2/s). There was no significant difference in the sensitivity and negative predictive value of PI-RADS v2.1 and PI-RADS v2.1-B. Specificity and positive predictive value of modified PI-RADS v2.1-B were much higher than those of PI-RADS v2.1 for both readers (p < .001). The area under the receiver operating characteristic curve tended to be higher with PI-RADS v2.1-B than with PI-RADS v2.1. Conclusion Biopsy for PI-RADS 3B lesion is necessary due to its superior malignancy potential than that of PI-RADS 3A lesion.

show abstract

Comparison between biparametric and multiparametric MR imaging of Prostate Imaging Reporting and Data System Version 2.1 in detection of prostate cancer

Cited by 7 publications

References 21 publications

Prostate MRI quality: a critical review of the last 5 years and the role of the PI-QUAL score

Prostate MRI quality: a critical review of the last 5 years and the role of the PI-QUAL score

Semi-quantitative and quantitative dynamic contrast-enhanced (DCE) MRI parameters as prostate cancer imaging biomarkers for biologically targeted radiation therapy

In prostatic transition zone lesions (PI-RADS v2.1): which subgroup should be biopsied?

Contact Info

Product

Resources

About