Journal List > Investig Magn Reson Imaging > v.23(3) > 1135551

Yoon, Choi, Lee, and Eun Jung: Dynamic Contrast-Enhanced MRI of the Prostate: Can Auto-Generated Wash-in Color Map Be Useful in Detecting Focal Lesion Enhancement?

Abstract

Purpose

To evaluate the usefulness of wash-in color map in detecting early enhancement of prostate focal lesion compared to whole dynamic contrast-enhanced MRI (DEC MRI) images.

Materials and Methods

This study engaged 50 prostate cancer patients who underwent multiparametric MRI and radical prostatectomy as subjects. An expert [R1] and a trainee [R2] independently evaluated early enhancement and recorded the time needed to review 1) a wash-in color map and 2) whole DCE MRI images.

Results

The review of whole DCE images by R1 showed fair agreement with color map by R1, whole images by R2, and color map by R2 (weighted kappa values = 0.59, 0.44, and 0.58, respectively). Both readers took a significantly shorter time to review the color maps as compared to whole images (P < 0.001).

Conclusion

A trainee could achieve better agreement with an expert when using wash-in color maps than when using whole DCE MRI images. Also, color maps took a significantly shorter evaluation time than whole images.

References

1. Futterer JJ, Briganti A, De Visschere P, et al. Can clinically significant prostate cancer be detected with multiparametric magnetic resonance imaging? A systematic review of the literature. Eur Urol. 2015; 68:1045–1053.
2. Weinreb JC, Barentsz JO, Choyke PL, et al. PI-RADS Prostate Imaging – Reporting and Data System: 2015, version 2. Eur Urol. 2016; 69:16–40.
crossref
3. Woo S, Suh CH, Kim SY, Cho JY, Kim SH, Moon MH. Head-to-head comparison between biparametric and multiparametric MRI for the diagnosis of prostate cancer: a systematic review and metaanalysis. AJR Am J Roentgenol. 2018; 211:W226–W241.
crossref
4. Purysko AS, Rosenkrantz AB, Barentsz JO, Weinreb JC, Macura KJ. PI-RADS version 2: a pictorial update. Radiographics. 2016; 36:1354–1372.
crossref
5. Iwazawa J, Mitani T, Sassa S, Ohue S. Prostate cancer detection with MRI: is dynamic contrast-enhanced imaging necessary in addition to diffusion-weighted imaging? Diagn Interv Radiol. 2011; 17:243–248.
6. Tamada T, Sone T, Higashi H, et al. Prostate cancer detection in patients with total serum prostate-specific antigen levels of 4–10 ng/mL: diagnostic efficacy of diffusion-weighted imaging, dynamic contrast-enhanced MRI, and T2-weighted imaging. AJR Am J Roentgenol. 2011; 197:664–670.
crossref
7. Greer MD, Shih JH, Lay N, et al. Validation of the dominant sequence paradigm and role of dynamic contrast-enhanced imaging in PI-RADS version 2. Radiology. 2017; 285:859–869.
crossref
8. Turco S, Lavini C, Heijmink S, Barentsz J, Wijkstra H, Mischi M. Evaluation of dispersion MRI for improved prostate cancer diagnosis in a multicenter study. AJR Am J Roentgenol. 2018; 211:W242–W251.
crossref
9. Sanz-Requena R, Marti-Bonmati L, Perez-Martinez R, Garcia-Marti G. Dynamic contrast-enhanced case-control analysis in 3T MRI of prostate cancer can help to characterize tumor aggressiveness. Eur J Radiol. 2016; 85:2119–2126.
crossref
10. Vos EK, Litjens GJ, Kobus T, et al. Assessment of prostate cancer aggressiveness using dynamic contrast-enhanced magnetic resonance imaging at 3 T. Eur Urol. 2013; 64:448–455.
crossref
11. Ocak I, Bernardo M, Metzger G, et al. Dynamic contrast-enhanced MRI of prostate cancer at 3 T: a study of pharmacokinetic parameters. AJR Am J Roentgenol. 2007; 189:849.
crossref
12. Kim JK, Hong SS, Choi YJ, et al. Wash-in rate on the basis of dynamic contrast-enhanced MRI: usefulness for prostate cancer detection and localization. J Magn Reson Imaging. 2005; 22:639–646.
crossref
13. Oto A, Kayhan A, Jiang Y, et al. Prostate cancer: differentiation of central gland cancer from benign prostatic hyperplasia by using diffusion-weighted and dynamic contrast-enhanced MR imaging. Radiology. 2010; 257:715–723.
crossref
14. Padhani AR, Gapinski CJ, Macvicar DA, et al. Dynamic contrast enhanced MRI of prostate cancer: correlation with morphology and tumour stage, histological grade and PSA. Clin Radiol. 2000; 55:99–109.
crossref
15. Riches SF, Payne GS, Morgan VA, et al. MRI in the detection of prostate cancer: combined apparent diffusion coefficient, metabolite ratio, and vascular parameters. AJR Am J Roentgenol. 2009; 193:1583–1591.
crossref
16. Rosenkrantz AB, Kim S, Campbell N, Gaing B, Deng FM, Taneja SS. Transition zone prostate cancer: revisiting the role of multiparametric MRI at 3 T. AJR Am J Roentgenol. 2015; 204:W266–272.
crossref
17. Schlemmer HP, Merkle J, Grobholz R, et al. Can preoperative contrast-enhanced dynamic MR imaging for prostate cancer predict microvessel density in prostatectomy specimens? Eur Radiol. 2004; 14:309–317.
crossref
18. Franiel T, Hamm B, Hricak H. Dynamic contrast-enhanced magnetic resonance imaging and pharmacokinetic models in prostate cancer. Eur Radiol. 2011; 21:616–626.
crossref
19. Rosenkrantz AB, Ginocchio LA, Cornfeld D, et al. Interobserver reproducibility of the PI-RADS version 2 lexicon: a multicenter study of six experienced prostate radiologists. Radiology. 2016; 280:793–804.
crossref
20. Hansford BG, Peng Y, Jiang Y, et al. Dynamic contrast-enhanced MR imaging curve-type analysis: is it helpful in the differentiation of prostate cancer from healthy peripheral zone? Radiology. 2015; 275:448–457.
crossref
21. Feinstein AR, Cicchetti DV. High agreement but low kappa: I. The problems of two paradoxes. J Clin Epidemiol. 1990; 43:543–549.
crossref
22. Cicchetti DV, Feinstein AR. High agreement but low kappa: II. Resolving the paradoxes. J Clin Epidemiol. 1990; 43:551–558.
crossref
23. Oto A, Yang C, Kayhan A, et al. Diffusion-weighted and dynamic contrast-enhanced MRI of prostate cancer: correlation of quantitative MR parameters with Gleason score and tumor angiogenesis. AJR Am J Roentgenol. 2011; 197:1382–1390.
crossref
24. Preziosi P, Orlacchio A, Di Giambattista G, et al. Enhancement patterns of prostate cancer in dynamic MRI. Eur Radiol. 2003; 13:925–930.
crossref

Fig. 1.
A 66-year-old male patient with prostate cancer (Gleason score 8 [4+4]). Focal low signal intensity is shown at the right peripheral zone (arrows) on T2WI (a) and T1WI (b). The lesion showed diffusion restriction on DWI (c) and the ADC map (d). Early enhancement was noted on DCE whole images (e) and the color map (f).
imri-23-220f1.tif
imri-23-220f2.tif
Fig. 2.
Box-whisker plot of the time consumed by two readers for evaluating DCE whole images and color maps.
imri-23-220f3.tif
Fig. 3.
Differences in confidence scores (a) with respect to evaluation time (b) with respect to Gleason score.
imri-23-220f4.tif
Table 1.
Baseline Characteristics
Age (years), mean ± SD (range) 67.1 ± 6.6 (50–79)
PSA (ng/mL), mean ± SD (range) 12.0 ± 11.9 (3.52–62.68)
Gleason score, n (%)  
≤ 6 6 (12.0)
7 (3+4) 15 (30.0)
7 (4+3) 19 (38.0)
8 8 (16.0)
9 or 10 2 (10.0)
T stage, n (%)  
T2a 4 (8.0)
T2b 1 (2.0)
T2c 26 (52.0)
T3a 12 (24.0)
T3b 6 (12.0)
T4 1 (2.0)

PSA = prostate specific antigen; SD = standard deviation

Table 2.
Comparison of Confidence Grades from Two Readers between DCE Whole Images and Color Maps
R1, DCE whole images
1 2 3 4 5 6
R1, color map 1 0 0 0 0 0 0
2 3 2 1 1 1 1
3 1 1 1 0 0 1
4 0 1 0 0 1 1
5 1 1 1 1 3 6
6 1 0 0 0 2 18
R2, DCE whole images 1 0 0 0 0 0 0
2 1 4 0 0 0 1
3 1 0 1 0 0 3
4 2 0 1 0 0 3
5 1 1 1 2 5 9
6 1 0 0 0 2 11
R2, color map 1 0 0 1 0 0 0
2 4 1 0 0 1 3
3 1 1 0 0 1 1
4 1 1 0 0 0 1
5 0 2 2 2 3 8
6 0 0 0 0 2 14

DCE = dynamic contrast enhanced

TOOLS
Similar articles