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Quantitative Estimation of Iron and Fat Content in Prostate Cancer by Multiparametric MRI and Its Application in
Yunshu Zhao1, Guangzheng Li1, Zhen Tian2
1Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Background:
The risk of biochemical recurrence (BCR) in prostate cancer (PCa) is typically assessed using D'Amico score. However, iron and fat content in PCa are closely related to tumor cell proliferation and the risk of BCR may be estimated using multiparametric MRI (mpMRI).
Purpose:
To noninvasively estimate fat and iron content in PCa and to evaluate their utility in enhancing D'Amico scores for predicting BCR in PCa patients.
Study Type:
Prospective.
Subjects:
Forty-eight male patients in the BCR group (age 71.31 ± 5.74 years) and 27 male patients in the non-BCR group (age 70.3 ± 6.04 years).
Field Strength/Sequence:
3.0 T, Turbo-spin echo T2-weighted imaging, diffusion-weighted imaging (DWI), dynamic contrast-enhanced (DCE) imaging, Gradient echo Q-Dixon sequence.
Assessment:
The mean fat fraction (FF) and T2* values of lesions were extracted from the FF map and the T2* map. Additionally, prostate volume, mean apparent diffusion coefficient (ADC) value, periprostatic fat thickness (PPFT), subcutaneous fat thickness (SFT), blood lipid content, pre- and post-operative prostate-specific antigen (PSA) values were collected.
Statistical Tests:
Stepwise-COX regression analysis was employed to identify the significant predictors of BCR, which led to the construction of an improvement-adjusted (IA) model. Then the IA model as well as the D'Amico score were evaluated using C-index and time-dependent AUC, decision-curve analysis, and Kaplan-Meier curve. P < 0.05 was statistically significant.
Results:
Significant differences were observed in PSA, D'Amico score, ISUP grade, T2*, FF, and ADC values of the lesions in the BCR group compared with the non-BCR group. Mean T2*, FF, and ADC values of the lesions were screened to construct the IA model incorporated into the D'Amico score (IA Model: C-index = 0.749; AUC = 0.812; D'Amico score: C-index = 0.672; AUC = 0.723).
Data Conclusion:
This study demonstrated that mpMRI can quantitatively estimate fat and iron within PCa lesions. By integrating ADC, FF, and T2* values into the D'Amico score, the preoperative-risk assessment for BCR can be improved.
Evidence Level:
2 TECHNICAL EFFICACY: Stage 2.
Insights
Multiparametric MRI (mpMRI) can quantify fat and iron in prostate cancer (PCa) lesions. Integrating these findings with the D'Amico score improves prediction of biochemical recurrence (BCR) risk.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Biochemical recurrence (BCR) risk in prostate cancer (PCa) is often assessed using the D'Amico score.
- Tumor iron and fat content correlate with PCa proliferation and BCR risk.
- Multiparametric MRI (mpMRI) offers a noninvasive method to evaluate these tumor characteristics.
Purpose of the Study:
- To noninvasively quantify fat and iron content within PCa lesions using mpMRI.
- To assess the utility of these quantitative MRI parameters in enhancing the D'Amico score for predicting BCR in PCa patients.
Main Methods:
- Prospective study involving 75 male patients (48 BCR, 27 non-BCR).
- Utilized 3.0T mpMRI including T2-weighted, DWI, DCE, and Gradient echo Q-Dixon sequences.
- Extracted fat fraction (FF) and T2* values; analyzed D'Amico score, ISUP grade, PSA, and apparent diffusion coefficient (ADC) values.
Main Results:
- Significant differences in PSA, D'Amico score, ISUP grade, T2*, FF, and ADC were found between BCR and non-BCR groups.
- An improvement-adjusted (IA) model incorporating lesion ADC, FF, and T2* values demonstrated superior predictive performance (C-index=0.749, AUC=0.812) compared to the D'Amico score alone (C-index=0.672, AUC=0.723).
Conclusions:
- mpMRI can accurately estimate fat and iron content in PCa.
- Integrating ADC, FF, and T2* values from mpMRI into the D'Amico score significantly improves preoperative risk assessment for BCR in PCa.
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