Back

ADC mapping with 12 b values: an improved technique for image quality in diffusion prostate MRI

Saad, L. S.; Rosas, G. D. Q.; Melo, H. J. d. F.; Gabriele, H. A.; Szejnfeld, J.

2019-08-22 scientific communication and education
10.1101/744961 bioRxiv
Show abstract

PurposeTo compare diffusion images and coefficients obtained with 4 b-value versus 12 b-value apparent diffusion coefficient (ADC) mapping for characterization of prostate lesions and how these coefficients relate and compare to the PI-RADS classification and Gleason grading system.\n\nMethodsPatients with indications for prostate cancer testing (n=158) underwent multiparametric 3T magnetic resonance imaging (MRI). Two diffusion sequences were acquired, one with 4 b values and one with 12 b values. ADC maps were calculated for each (ADC4 and ADC12) and the respective coefficients were tested for correlation with PI-RADS classification and Gleason score.\n\nResultsThe ADC12 sequence produced images of superior quality and sharpness than ADC4. Normal-area means (ADC4, 1793.3x10-6mm2/s; ADC12, 1100x10-6mm2/s) were significantly lower than those of lesion areas (ADC4, 1105.9x10-6mm2/s; ADC12, 689.4x10-6mm2/s) (p<0.001). Both techniques behaved similarly and correlated well with PI-RADS classification, distinguishing scores 3, 4, and 5 and with means tending to decline with increasing Gleason grade. ADC12 mapping yielded higher specificity than ADC4 (82.6% vs. 72.3%).\n\nConclusionsDiffusion with 12 values is a viable technique for examination of the prostate. It produced higher-quality images than current techniques and correlates well with PI-RADS classification and Gleason score.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.