Accuracy of Multi-parametric Magnetic Resonance Imaging for Diagnosis of Prostate Cancer

Authors

  • Chalida Aphinives Department of Radiology, Faculty of Medicine, Khon Kaen University
  • Chayanon Chinporncharoenpong Department of Radiology, Faculty of Medicine, Khon Kaen University
  • Kulyada Somsap Department of Radiology, Faculty of Medicine, Khon Kaen University
  • Vallop Laopaiboon Department of Radiology, Faculty of Medicine, Khon Kaen University

Keywords:

Diagnostic accuracy; Magnetic resonance imaging; Prostate cancer; Sensitivity; Specificity; Apparent diffusion coefficient, dynamic contrast enhanced MRI; Cho/cit ratio, (Cho creat)/cit ratio

Abstract

Objective: To assess the diagnostic accuracy of magnetic resonance imaging (MRI) for prostate cancer with multiple parameters.

Methods: Patients who underwent both MRI and transrectal ultrasound-guided biopsy from July 2012 to August 2014, were reviewed retrospectively.  Multiple parameters were assessed to determine the accuracy of MRI for prostate cancer; the apparent diffusion coefficient (ADC), dynamic contrast enhanced MRI (DCE-MRI), and the Cho/cit and (Cho+creat)/cit ratios.  The areas under the receiver operating characteristic curves (AUC) were used to evaluate the diagnostic accuracy of metabolic ratios.

Results: Thirty-six lesions from 28 patients were analyzed.  Malignant lesions at the peripheral zone showed significantly lower ADCs than benign lesions (p < 0.01).  If lesion size was 1 cm or larger, the (Cho+creat)/cit ratio was significantly higher (p < 0.01).  The ADCs had a high specificity of 87.5%, an accuracy of 77.8%, and AUC of 0.68.  DCE-MRI had high specificity of 91.7%, accuracy of 83.3%, and an AUC 0.78. The Cho/cit ratios showed a high sensitivity of 91.7%, but low specificity of 54.2%.  The greatest AUC was 0.85 when the DCE-MRI was combined with the Cho/cit ratio, giving an accuracy of 83.3%.  No significant improvement was established, however, when all 3 parameters were combined together.

Conclusion: DCE-MRI and ADC had greater diagnostic accuracy than MR spectroscopy (MRS).  Combined parameters improved specificity for prostate cancer lesions.

References

1. Siegel RL, Miller KD, Jemal A. Cancer Statistics, 2017. CA Cancer J Clin 2017; 67(1): 7–30.
2. Barentsz JO, Richenberg J, Clements R, Choyke P, Verma S, Villeirs G, et al. ESUR prostate MR guidelines 2012. Eur Radiol 2012; 22(4): 746–757.
3. de Rooij M, Hamoen EHJ, Fütterer JJ, Barentsz JO, Rovers MM. Accuracy of multiparametric MRI for prostate cancer detection: a meta-analysis. AJR Am J Roentgenol 2014; 202(2): 343–351.
4. Reinsberg SA, Payne GS, Riches SF, Ashley S, Brewster JM, Morgan VA, et al. Combined use of diffusion-weighted MRI and 1H MR spectroscopy to increase accuracy in prostate cancer detection. AJR Am J Roentgenol 2007; 188(1): 91–98.
5. Riches SF, Payne GS, Morgan VA, Sandhu S, Fisher C, Germuska M, et al. MRI in the detection of prostate cancer: combined apparent diffusion coefficient, metabolite ratio, and vascular parameters. AJR Am J Roentgenol 2009; 193(6): 1583–1591.
6. Fütterer JJ. Multiparametric MRI in the Detection of Clinically Significant Prostate Cancer. Korean J Radiol. 2017; 18(4): 597–606.
7. Gao P, Shi C, Zhao L, Zhou Q, Luo L. Differential diagnosis of prostate cancer and noncancerous tissue in the peripheral zone and central gland using the quantitative parameters of DCE-MRI: A meta-analysis. Medicine (Baltimore). 2016; 95(52): e5715.
8. Liu X, Zhou L, Peng W, Wang C, Wang H. Differentiation of central gland prostate cancer from benign prostatic hyperplasia using monoexponential and biexponential diffusion-weighted imaging. Magn Reson Imaging 2013; 31(8): 1318–1324.
9. Woodfield CA, Tung GA, Grand DJ, Pezzullo JA, Machan JT, Renzulli JF. Diffusion-weighted MRI of peripheral zone prostate cancer: comparison of tumor apparent diffusion coefficient with Gleason score and percentage of tumor on core biopsy. AJR Am J Roentgenol 2010; 194(4): W316-322.
10. Verma S, Turkbey B, Muradyan N, Rajesh A, Cornud F, Haider MA, et al. Overview of dynamic contrast-enhanced MRI in prostate cancer diagnosis and management. AJR Am J Roentgenol 2012; 198(6): 1277–1288.
11. Casciani E, Polettini E, Bertini L, Emiliozzi P, Amini M, Pansadoro V, et al. Prostate cancer: evaluation with endorectal MR imaging and three-dimensional proton MR spectroscopic imaging. Radiol Med 2004; 108(5–6): 530–541.
12. Panebianco V, Sciarra A, Ciccariello M, Lisi D, Bernardo S, Cattarino S, et al. Role of magnetic resonance spectroscopic imaging ([1H]MRSI) and dynamic contrast-enhanced MRI (DCE-MRI) in identifying prostate cancer foci in patients with negative biopsy and high levels of prostate-specific antigen (PSA). Radiol Med 2010; 115(8): 1314–1329.
13. Hasumi M, Suzuki K, Oya N, Ito K, Kurokawa K, Fukabori Y, et al. MR spectroscopy as a reliable diagnostic tool for localization of prostate cancer. Anticancer Res 2002; 22(2B): 1205–1208.
14. Bellomo G, Marcocci F, Bianchini D, Mezzenga E, D’Errico V, Menghi E, et al. MR Spectroscopy in Prostate Cancer: New Algorithms to Optimize Metabolite Quantification. PLoS ONE 2016; 11(11): e0165730.
15. Prostate imaging – Reporting and data system (PI-RADS) version 2.1 2019 American college of radiology. [ https://www.acr.org/-/media/ACR/Files/RADS/Pi-RADS/PIRADS-V2-1.pdf?la=en ]
16. Rezaeian A, Tahmasebi BMJ, Chegeni N, Sarkarian M, Hanafi MG, Akbarizadeh G. Signal intensity of high B-value diffusion-weighted imaging for the detection of prostate cancer. J Biomed Phys Eng 2019; 9(4): 453-458.

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Published

2020-10-16

How to Cite

1.
Aphinives C, Chinporncharoenpong C, Somsap K, Laopaiboon V. Accuracy of Multi-parametric Magnetic Resonance Imaging for Diagnosis of Prostate Cancer. SRIMEDJ [Internet]. 2020 Oct. 16 [cited 2024 Dec. 23];35(6):680-6. Available from: https://li01.tci-thaijo.org/index.php/SRIMEDJ/article/view/247319

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