Dynamic Contrast-Enhanced MRI of Prostate Cancer at 3 T: A Study of Pharmacokinetic Parameters

Ocak, İclal; Bernardo, Marcelino; Metzger, Gregory J.; Barrett, Tristan; Pinto, Peter A.; Albert, Paul S.; Choyke, Peter L.

doi:10.2214/ajr.06.1329

Cited by 241 publications

(203 citation statements)

References 42 publications

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“…In this case, the use of the proposed linear fitting may lead to fitting deviations. However, according to the reported values in the literature, fortunately very few k ep values over 5/min have been reported for different kinds of tumors and normal tissues (21,(25)(26)(27)(28)(29), indicating the feasibility and practicability of using this mapping method for different DCE-MRI applications. As seen in Table 1, the narrower k ep range to be fit, the better linearity is found between TSF and k ep .…”

Section: Discussionmentioning

confidence: 99%

Heuristic linear mapping of physiological parameters in dynamic contrast‐enhanced MRI without T₁ measurement and contrast agent concentration

Yuan

Chow

King

et al. 2011

Magnetic Resonance Imaging

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Purpose: To present a novel heuristic linear mapping method to individually estimate physiological parameters for Tofts model without T 1 measurement and contrast agent concentration. Materials and Methods:A linear relationship was used for k ep mapping through a heuristic time intensity curve (TIC) shape factor (TSF). K trans maps were subsequently estimated using k ep maps and another approximate linear model derived from the Tofts model. Twenty-seven patients with head-and-neck squamous cell carcinoma received dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Physiological parameters maps were obtained using this heuristic linear mapping method and compared to the maps obtained by the normal nonlinear least-square fitting with T 1 measurement.Results: High linearity (R 2 >0.95) between k ep and TSF was found in all patients for k ep <5/min. This linearity is robust for TSF timepoint selection. The k ep maps generated by this linear fitting were highly consistent with those by the normal nonlinear approach (P > 0.05). The K trans maps were consistent with the normally derived maps in pattern distribution but the absolute value might be scaled due to the assumption of the reference K trans value.Conclusion: This novel method generates reliable and consistent physiological parameter maps with significantly lower computation complexity than the multiparameter nonlinear fitting. The DCE-MRI scan time can be greatly shortened without T 1 mapping.

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Section: Discussionmentioning

confidence: 99%

Heuristic linear mapping of physiological parameters in dynamic contrast‐enhanced MRI without T₁ measurement and contrast agent concentration

Yuan

Chow

King

et al. 2011

Magnetic Resonance Imaging

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“…Li et al (14) showed that the K trans value was distinctly higher in malignant breast lesions than in benign breast lesions. Amarnath et al (15) (17) showed that the K trans and K ep values of tumor tissue are markedly higher than those in the normal peripheral zone, while V e values indicated no significant difference between the two lesions. The diagnostic efficacy of changes in V e values in benign and malignant tumors remains debatable.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of optimized magnetic resonance perfusion imaging scanning time window after contrast agent injection for differentiating benign and malignant breast lesions

Dong

Wang

et al. 2017

Experimental and Therapeutic Medicine

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Abstract. The aim of the study was evaluate the 3.0 T magnetic resonance (MR) perfusion imaging scanning time window following contrast injection for differentiating benign and malignant breast lesions and to determine the optimum scanning time window for increased scanner usage efficiency and reduced diagnostic adverse risk factors. A total of 52 women with breast abnormalities were selected for conventional MR imaging and T1 dynamic-enhanced imaging. Quantitative parameters [volume transfer constant (K trans ), rate constant (K ep ) and extravascular extracellular volume fraction (V e )] were calculated at phases 10, 20, 30, 40 and 50, which represented time windows at 5, 10, 15, 20 and 25 min, respectively, following injection of contrast agent. The association of the parameters at different phases with benign and malignant tumor diagnosis was analyzed. MR perfusion imaging was verified as an effective modality in the diagnosis of breast malignancies and the best scanning time window was identified: i) Values of K trans and K ep at all phases were statistically significant in differentiating benign and malignant tumors (P<0.05), while the value of V e had statistical significance only at stage 10, but not at any other stages (P>0.05); ii) values of V e in benign tumors increased with phase number, but achieved no obvious changes at different phases in malignant tumors; iii) the optimum scanning time window of breast perfusion imaging with 3.0 T MR was between phases 10 and 30 (i.e., between 5 and 15 min after contrast agent injection). The variation trend of V e values at different phases may serve as a diagnostic reference for differentiating benign and malignant breast abnormalities. The most efficient scanning time window was indicated to be 5 min after contrast injection, based on the observation that the V e value only had statistical significance in diagnosis at stage 10. However, the optimal scanning time window is from 5 to 15 min following the injection of contrast agent, since that the variation trend of V e is able to serve as a diagnostic reference.

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“…DCE takes advantage of the unique characteristics associated with the abnormal tumor vasculature to assess aggressiveness of the disease. The usefulness of DCE in detecting, localizing, and staging prostate cancer is well documented in literature [58,[86][87][88][89][90]. Additionally, several studies have reported promising findings on the utility of DCE parameters in discriminating prostate cancer based on aggressiveness of the disease [91,92].…”

Section: Dynamic Contrast-enhanced Imagingmentioning

confidence: 99%

“…) and v e (the fractional volume of extracellular space per unit volume of tissue) [90,[115][116][117][118]. While K trans maps offer diagnostically valuable information, acquiring stable measurements from quantitative analysis remains a challenge.…”

Section: Dynamic Contrast-enhanced Imagingmentioning

confidence: 99%

Practical aspects of prostate MRI: hardware and software considerations, protocols, and patient preparation

et al. 2015

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The use of multiparametric MRI scans for the evaluation of men with prostate cancer has increased dramatically and is likely to continue expanding as new developments come to practice. However, it has not yet gained the same level of acceptance of other imaging tests. Partly, this is because of the use of suboptimal protocols, lack of standardization, and inadequate patient preparation. In this manuscript, we describe several practical aspects of prostate MRI that may facilitate the implementation of new prostate imaging programs or the expansion of existing ones.

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Dynamic Contrast-Enhanced MRI of Prostate Cancer at 3 T: A Study of Pharmacokinetic Parameters

Cited by 241 publications

References 42 publications

Heuristic linear mapping of physiological parameters in dynamic contrast‐enhanced MRI without T₁ measurement and contrast agent concentration

Heuristic linear mapping of physiological parameters in dynamic contrast‐enhanced MRI without T₁ measurement and contrast agent concentration

Evaluation of optimized magnetic resonance perfusion imaging scanning time window after contrast agent injection for differentiating benign and malignant breast lesions

Practical aspects of prostate MRI: hardware and software considerations, protocols, and patient preparation

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Dynamic Contrast-Enhanced MRI of Prostate Cancer at 3 T: A Study of Pharmacokinetic Parameters

Cited by 241 publications

References 42 publications

Heuristic linear mapping of physiological parameters in dynamic contrast‐enhanced MRI without T1 measurement and contrast agent concentration

Heuristic linear mapping of physiological parameters in dynamic contrast‐enhanced MRI without T1 measurement and contrast agent concentration

Evaluation of optimized magnetic resonance perfusion imaging scanning time window after contrast agent injection for differentiating benign and malignant breast lesions

Practical aspects of prostate MRI: hardware and software considerations, protocols, and patient preparation

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Heuristic linear mapping of physiological parameters in dynamic contrast‐enhanced MRI without T₁ measurement and contrast agent concentration

Heuristic linear mapping of physiological parameters in dynamic contrast‐enhanced MRI without T₁ measurement and contrast agent concentration