Quantitative Measurement of Signal Intensity in Dynamic Contrast-Enhanced MRI For Time–Intensity Curve Analysis in Prostate Imaging
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Abstract
Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a contrast-based MRI technique used to evaluate tissue perfusion and vascular characteristics. This technique generates time–intensity curves (TIC) that enable differentiation between normal prostate tissue, benign lesions, and malignant tumours. However, most previous studies have focused on complex pharmacokinetic analyses that are less representative of routine clinical practice. This study aimed to measure DCE-MRI signal intensity in prostate patients and characterize lesions based on TIC patterns using a practical semi-quantitative approach. The study employed a descriptive–analytic design, with signal intensity measurements based on region of interest (ROI) analysis and TIC slope calculation. The research was conducted at Pusat Pertamina Hospital from November to December 2024, involving a sample of five patients. The results demonstrated variability in signal intensity patterns, with one patient exhibiting a Type II (plateau) pattern (−3.22%) and four patients showing Type I (persistent) patterns (12.97–46.11%). This approach supports the practical implementation of prostate DCE-MRI in routine clinical settings.
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1.
Budiati TA, Mila DheaZ, Sutoro SG, Irsal M, Widiatmoko ME, Nurbaiti N. Quantitative Measurement of Signal Intensity in Dynamic Contrast-Enhanced MRI For Time–Intensity Curve Analysis in Prostate Imaging. SANITAS [Internet]. 19Feb.2026 [cited 23Feb.2026];16(2):109-18. Available from: https://sanitas.poltekkesjkt2.ac.id/index.php/SANITAS/article/view/554
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Radiation Therapy
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2. Yan Y, Sun X, Shen B. Contrast agents in dynamic contrast-enhanced magnetic resonance imaging. Oncotarget. 2017;8(26):43491–505.
3. Yoon JM, Choi MH, Lee YJ, Jung SE. Dynamic Contrast-Enhanced MRI of the Prostate: Can Auto-Generated Wash-in Color Map Be Useful in Detecting Focal Lesion Enhancement? Investig Magn Reson Imaging. 2019;23(3):220–7.
4. Tsili AC, Argyropoulou MI, Astrakas LG, Ntoulia EA, Giannakis D, Sofikitis N, et al. Dynamic contrast-enhanced subtraction MRI for characterizing intratesticular mass lesions. American Journal of Roentgenology. 2013;200(3):578–85.
5. 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. American Journal of Roentgenology. 2012;198(6):1277–88.
6. Berman RM, Brown AM, Chang SD, Sankineni S, Kadakia M, Wood BJ, et al. DCE MRI of prostate cancer. Abdominal Radiology. 2016;41(5):844–53.
7. 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. American Journal of Roentgenology. 2012;198(6):1277–88.
8. Cheng L, Li X. Breast magnetic resonance imaging: kinetic curve assessment. Gland Surg. 2013;2(1):50–3.
9. Karavas E, Ece B, Aydın S. Type 2 dynamic curves: A diagnostic dilemma. World J Radiol. 2022;14(7):229–37.
10. El Khouli RH, Macura KJ, Kamel IR, Jacobs MA, Bluemke DA. 3-T dynamic contrast-enhanced MRI of the breast: Pharmacokinetic parameters versus conventional kinetic curve analysis. American Journal of Roentgenology [Internet]. 2011 Dec 20 [cited 2025 Jul 10];197(6):1498–505. Available from: /doi/pdf/10.2214/AJR.10.4665?download=true
11. Li Z, Zhong Y, Wang Y. Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI. 2024 Apr 22 [cited 2025 Jul 10]; Available from: https://arxiv.org/pdf/2404.13929
12. El Khouli RH, Macura KJ, Jacobs MA, Khalil TH, Kamel IR, Dwyer A, et al. Dynamic contrast-enhanced MRI of the breast: Quantitative method for kinetic curve type assessment. American Journal of Roentgenology. 2009;193(4):295–300.
13. Song YS, Lee IS, Choi YJ, Kim J Il, Choi KU, Kim K, et al. Clinical Efficacy of Ultrafast Dynamic Contrast-Enhanced MRI Using Compressed Sensing in Distinguishing Benign and Malignant Soft-Tissue Tumors. Korean J Radiol [Internet]. 2025 Jan 1 [cited 2025 Jul 10];26(1):43–53. Available from: https://pubmed.ncbi.nlm.nih.gov/39780630/
14. Yin J, Yang J, Jiang Z. Classification of breast mass lesions on dynamic contrast-enhanced magnetic resonance imaging by a computer-assisted diagnosis system based on quantitative analysis. Oncol Lett [Internet]. 2019 Mar 1 [cited 2025 Jul 10];17(3):2623–30. Available from: https://pubmed.ncbi.nlm.nih.gov/30867727/
15. Westbrook Catherine, Talbot John. MRI in practice. 2019 [cited 2025 Jul 10];395. Available from: https://www.wiley.com/en-us/MRI+in+Practice%2C+5th+Edition-p-9781119392002
16. Lavini C, Buiter MS, Maas M. Use of dynamic contrast enhanced time intensity curve shape analysis in MRI: theory and practice. Reports in Medical Imaging [Internet]. 2013 Jul 31 [cited 2025 Jul 10];6(1):71–82. Available from: https://www.dovepress.com/use-of-dynamic-contrast-enhanced-time-intensity-curve-shape-analysis-i-peer-reviewed-fulltext-article-RMI
17. Cao J, Xiao L, He B, Zhang G, Dong J, Wu Y, et al. Diagnostic value of combined diffusion-weighted imaging with dynamic contrast enhancement MRI in differentiating malignant from benign bone lesions. Clin Radiol [Internet]. 2017 Sep 1 [cited 2025 Jul 10];72(9):793.e1-793.e9. Available from: https://pubmed.ncbi.nlm.nih.gov/28545685/
18. Yuan Y, Kuai XP, Chen XS, Tao XF. Assessment of dynamic contrast-enhanced magnetic resonance imaging in the differentiation of malignant from benign orbital masses. Eur J Radiol [Internet]. 2013 Sep [cited 2025 Jul 10];82(9):1506–11. Available from: https://pubmed.ncbi.nlm.nih.gov/23561057/
19. Ohyu S, Tozaki M, Sasaki M, Chiba H, Xiao Q, Fujisawa Y, et al. Combined Use of Texture Features and Morphological Classification Based on Dynamic Contrast-enhanced MR Imaging: Differentiating Benign and Malignant Breast Masses with High Negative Predictive Value. Magnetic Resonance in Medical Sciences [Internet]. 2022 [cited 2025 Jul 10];21(3):485–98. Available from: https://pubmed.ncbi.nlm.nih.gov/34176860/
20. Barentsz JO, Richenberg J, Clements R, Choyke P, Verma S, Villeirs G, et al. ESUR prostate MR guidelines 2012. Eur Radiol [Internet]. 2012 [cited 2025 Jul 8];22(4):746–57. Available from: https://pubmed.ncbi.nlm.nih.gov/22322308/
21. Yin J, Yang J, Jiang Z. Classification of breast mass lesions on dynamic contrast-enhanced magnetic resonance imaging by a computer-assisted diagnosis system based on quantitative analysis. Oncol Lett [Internet]. 2019 Mar 1 [cited 2025 Jul 8];17(3):2623–30. Available from: https://pubmed.ncbi.nlm.nih.gov/30867727/
22. Yuan Y, Yue XH, Tao XF. The diagnostic value of dynamic contrast-enhanced MRI for thyroid tumors. Eur J Radiol [Internet]. 2012 Nov [cited 2025 Jul 10];81(11):3313–8. Available from: https://pubmed.ncbi.nlm.nih.gov/22608396/