Optimal high b-value for diffusion weighted MRI in diagnosing high risk prostate cancers in the peripheral zone

Agarwal, Harsh; Mertan, Francesca; Sankineni, Sandeep; Bernardo, Marcelino; Sénégas, Julien; Keupp, Jochen; Daar, Dagane; Merino, María J.; Wood, Bradford J.; Pinto, Peter A.; Choyke, Peter L.; Türkbey, Barış

doi:10.1002/jmri.25353

Cited by 43 publications

(35 citation statements)

References 37 publications

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“…Our results showed that this method could not improve the assessment of radiation‐induced changes in tumors. Recent studies suggested that high b‐values of 1400–2000 s/mm 2 were superior to detect prostate cancer than the standard b‐value of 1000 s/mm 2 . However, high b‐values above 1000 s/mm 2 revealed similar ADC ratios between the irradiated and nonirradiated regions as the b‐value of 800 s/mm 2 in our studies.…”

Section: Discussionmentioning

confidence: 99%

Diffusion radiomics analysis of intratumoral heterogeneity in a murine prostate cancer model following radiotherapy: Pixelwise correlation with histology

Lin

Hong

et al. 2017

Magnetic Resonance Imaging

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Section: Discussionmentioning

confidence: 99%

Diffusion radiomics analysis of intratumoral heterogeneity in a murine prostate cancer model following radiotherapy: Pixelwise correlation with histology

Lin

Hong

et al. 2017

Magnetic Resonance Imaging

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“…The non-monoexponential nature of signal decays with b value in prostate tissues complicates comparisons between studies using different b value ranges [37]. However, our use of higher b-values may have had an impact on tumor conspicuity as supported by a recent study that demonstrated AUC for differentiating high risk PC from low risk PC increases with an increase in b-value, reaching maximum AUC at b=1600 s/mm [38]. Another possible explanation for the differences is that we performed a volumetric analysis of ADC values, as the lesion contouring was performed on multiple ADC slices to cover the entire tumor, enabling us to evaluate heterogeneous tumors with improved accuracy.…”

Section: Discussionmentioning

confidence: 99%

Comparison of quantitative apparent diffusion coefficient parameters with prostate imaging reporting and data system V2 assessment for detection of clinically significant peripheral zone prostate cancer

et al. 2017

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Purpose To compare diagnostic performance of PI-RADSv2 with ADC parameters to identify clinically significant prostate cancer (csPC) and to determine the impact of csPC definitions on diagnostic performance of ADC and PI-RADSv2. Methods We retrospectively identified treatment-naïve pathology-proven peripheral zone PC patients who underwent 3T prostate MRI, using high b-value diffusion-weighted imaging from 2011–2015. Using 3D slicer, areas of suspected tumor (T) and normal tissue (N) on ADC (b=0,1400) were outlined volumetrically. Mean ADCT, mean ADCN, ADCratio (ADCT/ADCN) were calculated. PI-RADSv2 was assigned. Three csPC definitions were used: (A) Gleason score (GS)≥4+3; (B) GS≥3+4; (C) MRI-based tumor volume>0.5cc. Performances of ADC parameters and PI-RADSv2 in identifying csPC were measured using nonparametric comparison of receiver operating characteristic curves using the area under the curve (AUC). Results 85 cases met eligibility requirements. Diagnostic performances (AUC) in identifying csPC using 3 definitions were: (A) ADCT (0.83) was higher than PI-RADSv2 (0.65, p=0.006); (B) ADCT (0.86) was higher than ADCratio (0.68, p<0.001), and PI-RADSv2 (0.70, p=0.04); (C) PI-RADSv2 (0.73) performed better than ADCratio (0.56, p=0.02). ADCT performance was higher when csPC was defined by A or B versus C (p=0.038 and p=0.01, respectively). ADCratio performed better when csPC was defined by A versus C (p=0.01). PI-RADSv2 performance was not affected by csPC definition. Conclusions When csPC was defined by GS, ADC parameters provided better csPC discrimination than PI-RADSv2, with ADCT providing best result. When csPC was defined by MRI-calculated volume, PI-RADSv2 provided better discrimination than ADCratio. csPC definition did not affect PI-RADSv2 diagnostic performance.

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“…Based on the existing literature, an increase in lesion-to-normal contrast and contrast-to-noise ratio compared to conventional ADC is only expected with acquired or computed DWI images at b-values higher than 1500 s/mm² [13,14,16,20,21]. cDWI images compared to original DWI images at the same b-value featured a reduced artifact level with similar or better CR and CNR values without additional acquisition time on top of the scan time used to obtain DWI with standard b-values [10,12,15,17,21].…”

Section: Discussionmentioning

confidence: 99%

“…Also Agarwar et al investigated the ability of cDWI to identify low-risk lesions based on DWI data. They analyzed cDWI data of 42 patients with b-values up to 4000 s/mm² and suggested cDWI with a b-value of 1600 -2000 s/mm² as a mean for the selection of active surveillance patients (maximum AUC of 0.75) [20].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Exponential ADC (eADC) and Computed DWI (cDWI) for the Detection of Prostate Cancer

Sprinkart

Marx

Träber

et al. 2018

Fortschr Röntgenstr

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ZUSAMMENFASSUNG Ziel Direkter Vergleich verschiedener Methoden zur besserenErkennung und Differenzierbarkeit von Prostatakrebs in der diffusionsgewichteten Bildgebung (DWI); Vergleich der Ergebnisse mit originalen DWI-Bildern und konventionellen Apparent Diffusion Coefficient (ADC)-Karten. This document was downloaded for personal use only. Unauthorized distribution is strictly prohibited. dataset exponential ADC maps (eADC), computed DWI images (cDWI), and additionally eADC maps for computed b-values of 2000 and 3000 s/mm² were generated (c_eADC). For each of 123 lesions, the contrast (CR) and contrast-to-noise ratio (CNR) were determined. Differences in the CR and CNR of malignant lesions (n = 83) between the different image types and group differences between benign (n = 40), lowrisk (n = 53) and high-risk (n = 30) lesions were assessed by repeated measures ANOVA and one-way ANOVA with post-hoc tests. The ability to differentiate between benign and malignant and between low-risk and high-risk lesions was assessed by receiver operating characteristic (ROC) curve analyses. Material und MethodenResults The CR and CNR were higher for computed DWI and related c_eADC at b = 3000 s/mm² and 2000 s/mm² compared to original DWI, conventional ADC and standard eADC. For differentiation of benign and malignant lesions, conventional ADC and CR of conventional ADC were best suited. For discrimination of low-risk from high-risk lesions, the CR of c_eADC was best suited followed by the CR of cDWI. Fortschr Röntgenstr 2018; 190: 758-766

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Optimal high b-value for diffusion weighted MRI in diagnosing high risk prostate cancers in the peripheral zone

Abstract: 4 J. Magn. Reson. Imaging 2017;45:125-131.

Cited by 43 publications

References 37 publications

Diffusion radiomics analysis of intratumoral heterogeneity in a murine prostate cancer model following radiotherapy: Pixelwise correlation with histology

Diffusion radiomics analysis of intratumoral heterogeneity in a murine prostate cancer model following radiotherapy: Pixelwise correlation with histology

Comparison of quantitative apparent diffusion coefficient parameters with prostate imaging reporting and data system V2 assessment for detection of clinically significant peripheral zone prostate cancer

Evaluation of Exponential ADC (eADC) and Computed DWI (cDWI) for the Detection of Prostate Cancer

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