Literature DB >> 27193791

Can DW-MRI, with its ADC values, be a reliable predictor of biopsy outcome in patients with suspected prostate cancer?

R Faletti1, G Battisti2, A Discalzi2, M L Grognardi2, S Martinello2, M Oderda3, P Gontero3, L Bergamasco4, M C Cassinis2, P Fonio2.   

Abstract

PURPOSE: To relate the multiparametric magnetic resonance imaging (mp-MRI) of patients with suspect peripheral prostate cancer (PCa) to the results of the subsequent biopsy: in particular to explore whether DWI and ADC can predict the biopsy outcome and to investigate the relation between ADC and Gleason score (GS).
MATERIALS AND METHODS: 175 consecutive patients who underwent 1.5 T mp-MRI followed by prostate biopsy were retrospectively analyzed by two independent radiologists. ADC values were measured in the peripheral suspect lesion areas (ADCSL) and in the contralateral zones (ADCNSL) obtaining ADCnorm = ADCSL/ADCNSL. Results on T2W images, DWI, ADC values, and perfusion studies were matched to their corresponding biopsy.
RESULTS: Negative DWI and T2W had 100% negative predictive value (NPV). When DWI was positive, ADCSL > 0.90 × 10 > 0.90 × 10(-3) mm(2)/s (ADCnorm > 0.60) identified by the ROC curve (AUC = 0.80) corresponded to NPV = 85%. In positive biopsies, ADCSL and ADCnorm decreased significantly from GS = 6 to GS ≥ 8 with Spearman coefficient ρ = -0.40 and ROC curve AUC = 0.72.
CONCLUSION: mp-MRI allows a reliable prediction of a negative biopsy through the values of DWI, T2W, and ADC. In positive biopsies, there is a moderate correlation between ADC and the various GS levels.

Entities:  

Keywords:  Biopsy; Diffusion magnetic resonance imaging; Gleason score; Magnetic resonance imaging; Prostatic neoplasms

Mesh:

Substances:

Year:  2016        PMID: 27193791     DOI: 10.1007/s00261-015-0574-x

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  4 in total

1.  Role of multi-parametric MRI of the prostate for screening and staging: Experience with over 1500 cases.

Authors:  Geoffrey Gaunay; Vinay Patel; Paras Shah; Daniel Moreira; Simon J Hall; Manish A Vira; Michael Schwartz; Jessica Kreshover; Eran Ben-Levi; Robert Villani; Ardeshir Rastinehad; Lee Richstone
Journal:  Asian J Urol       Date:  2016-11-22

Review 2.  Diffusion magnetic resonance imaging: A molecular imaging tool caught between hope, hype and the real world of "personalized oncology".

Authors:  Abhishek Mahajan; Sneha S Deshpande; Meenakshi H Thakur
Journal:  World J Radiol       Date:  2017-06-28

3.  Non-Gaussian models of diffusion weighted imaging for detection and characterization of prostate cancer: a systematic review and meta-analysis.

Authors:  V Brancato; C Cavaliere; M Salvatore; S Monti
Journal:  Sci Rep       Date:  2019-11-14       Impact factor: 4.379

4.  Discrimination between clinical significant and insignificant prostate cancer with apparent diffusion coefficient - a systematic review and meta analysis.

Authors:  Hans-Jonas Meyer; Andreas Wienke; Alexey Surov
Journal:  BMC Cancer       Date:  2020-05-27       Impact factor: 4.430

  4 in total

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