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Clemente A, Selva G, Berks M, Morrone F, Morrone AA, Aulisa MDC, Bliakharskaia E, De Nicola A, Tartaro A, Summers PE. Comparison of Early Contrast Enhancement Models in Ultrafast Dynamic Contrast-Enhanced Magnetic Resonance Imaging of Prostate Cancer. Diagnostics (Basel) 2024; 14:870. [PMID: 38732285 PMCID: PMC11083228 DOI: 10.3390/diagnostics14090870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 04/05/2024] [Accepted: 04/08/2024] [Indexed: 05/13/2024] Open
Abstract
Tofts models have failed to produce reliable quantitative markers for prostate cancer. We examined the differences between prostate zones and lesion PI-RADS categories and grade group (GG) using regions of interest drawn in tumor and normal-appearing tissue for a two-compartment uptake (2CU) model (including plasma volume (vp), plasma flow (Fp), permeability surface area product (PS), plasma mean transit time (MTTp), capillary transit time (Tc), extraction fraction (E), and transfer constant (Ktrans)) and exponential (amplitude (A), arrival time (t0), and enhancement rate (α)), sigmoidal (amplitude (A0), center time relative to arrival time (A1 - T0), and slope (A2)), and empirical mathematical models, and time to peak (TTP) parameters fitted to high temporal resolution (1.695 s) DCE-MRI data. In 25 patients with 35 PI-RADS category 3 or higher tumors, we found Fp and α differed between peripheral and transition zones. Parameters Fp, MTTp, Tc, E, α, A1 - T0, and A2 and TTP all showed associations with PI-RADS categories and with GG in the PZ when normal-appearing regions were included in the non-cancer GG. PS and Ktrans were not associated with any PI-RADS category or GG. This pilot study suggests early enhancement parameters derived from ultrafast DCE-MRI may become markers of prostate cancer.
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Affiliation(s)
- Alfredo Clemente
- Radiology Unit, Centro Medicina Nucleare N1, “Centro Morrone”, 81100 Caserta, Italy; (A.C.); (G.S.)
| | - Guerino Selva
- Radiology Unit, Centro Medicina Nucleare N1, “Centro Morrone”, 81100 Caserta, Italy; (A.C.); (G.S.)
| | - Michael Berks
- Quantitative Biomedical Imaging Laboratory, Division of Cancer Sciences, University of Manchester, Manchester M13 9PL, UK;
| | - Federica Morrone
- Radiology Unit, Centro Radiologico Vega, “Centro Morrone”, 81100 Caserta, Italy; (F.M.); (A.A.M.)
| | | | | | | | - Andrea De Nicola
- Radiology Unit, SS. Annunziata Hospital, ASL Lanciano Vasto Chieti, 66100 Chieti, Italy;
| | - Armando Tartaro
- Department of Clinical, Oral Sciences and Biotechnology, University “G. d’Annunzio”, 66100 Chieti, Italy;
- MRI Unit, Santissima Trinità Hospital, ASL Pescara, 65026 Popoli, Italy
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Fan X, Chatterjee A, Medved M, Oto A, Karczmar GS. Signal intensity form of the Tofts model for quantitative analysis of prostate dynamic contrast enhanced MRI data. Phys Med Biol 2021; 66:025002. [PMID: 33181487 DOI: 10.1088/1361-6560/abca02] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
The aim of this study is to develop a signal intensity (S(t)) form of the standard Tofts pharmacokinetic model that avoids the need to calculate tissue contrast agent concentration (C(t)) as function of time (t). We refer to this as 'SI-Tofts' model. Physiological parameters (K trans and v e) calculated using the SI-Tofts and standard Tofts models were compared by using simulations and human prostate dynamic contrast enhanced (DCE) MRI data. This approach was also applied to the Patlak model to compare K trans values calculated from C(t) and S(t). Simulations were performed on DCE-MRI data from the quantitative imaging biomarkers alliance to validate SI-Tofts model. In addition, ultrafast DCE-MRI data were acquired from 18 prostate cancer patients on a Philips Achieva 3T-TX scanner. Regions-of-interest (ROIs) for prostate cancer, normal tissue, gluteal muscle, and iliac artery were manually traced. The C(t) was calculated for each ROI using the standard model with measured pre-contrast tissue T 1 values. Both the simulation and clinical results showed strong correlation (r = 0.87-0.99, p < 0.001) for K trans and v e calculated from the SI-Tofts and standard Tofts models. The SI-Tofts model with a correction factor using the T 1 ratio of blood to tissue significantly improved the K trans estimates. The correlation of K trans obtained from the Patlak model with C(t) vs S(t) was also strong (r = 0.95-0.99, p < 0.001). These preliminary results suggest that physiological parameters from DCE-MRI can be reliably estimated from the SI-Tofts model without contrast agent concentration calculation.
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Affiliation(s)
- Xiaobing Fan
- Department of Radiology, University of Chicago, Chicago, IL 60637, United States of America
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Udayakumar N, Porter KK. How Fast Can We Go: Abbreviated Prostate MR Protocols. Curr Urol Rep 2020; 21:59. [PMID: 33135121 DOI: 10.1007/s11934-020-01008-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/15/2020] [Indexed: 12/27/2022]
Abstract
PURPOSE OF REVIEW Multiparametric MRI (mpMRI), composed of T2WI, DWI, and DCE sequences, is effective in identifying prostate cancer (PCa), but length and cost preclude its application as a PCa screening tool. Here we review abbreviated MRI protocols that shorten or omit conventional mpMRI components to reduce scan time and expense without forgoing diagnostic accuracy. RECENT FINDINGS The DCE sequence, which plays a limited diagnostic role in PI-RADS, is eliminated in variations of the biparametric MRI (bpMRI). T2WI, the lengthiest sequence, is truncated by only acquiring the axial plane or utilizing 3D acquisition with subsequent 2D reconstruction. DW-EPISMS further accelerates DWI acquisition. The fastest protocol described to date consists of just DW-EPISMS and axial-only 2D T2WI and runs less than 5 min. Abbreviated protocols can mitigate scan expense and increase scan access, allowing prostate MRI to become an efficient PCa screening tool.
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Affiliation(s)
- Neha Udayakumar
- University of Alabama at Birmingham School of Medicine, 1720 2nd Ave S, Birmingham, AL, 35249, USA
| | - Kristin K Porter
- Department of Radiology, University of Alabama at Birmingham, 619 19th Street S, JT N374, Birmingham, AL, 35249, USA.
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