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. 2023 May 18:13:1185057.
doi: 10.3389/fonc.2023.1185057. eCollection 2023.

Study of iron metabolism based on T2* mapping sequences in PI-RADS 3 prostate lesions

Affiliations

Study of iron metabolism based on T2* mapping sequences in PI-RADS 3 prostate lesions

Wenhao D et al. Front Oncol. .

Abstract

Introduction: Prostate cancer is one of the most common malignant tumors in Chinese men, which is rich in iron metabolic activity and is closely related to all stages of prostate cancer progression. Since the current diagnostic methods are insufficient, we aimed to evaluate the value of quantitative T2 star values from the T2* mapping sequences in multiparametric magnetic resonance imaging (mpMRI) in the diagnosis and grading of PI-RADS 3 prostate cancer (PCa).

Methods: We prospectively enrolled patients with PCa or benign prostatic hyperplasia (BPH) admitted to our hospital from January 2021 to November 2022. Imaging indicators, including the T2* value and apparent diffusion coefficient (ADC) value, were collected, and enzyme-linked immunosorbent assays (ELISAs) were used to measure the levels of proteins involved in iron metabolism in the patients. ROC curves were drawn to explore whether the T2* value could be used for the diagnosis and grading of PCa.

Results: We found that three iron metabolism indexes, ferritin, hepcidin, and the ferric ion (Fe), and the T2* value were significantly different between the PCa group and BPH group and between the low International Society of Urology Pathology (ISUP) group (ISUP ≤ 2) and the high ISUP group (ISUP>2). Additionally, there was a significant correlation between the levels of these three indicators and the T2* value. Further ROC analysis showed that the levels of iron metabolism-related indexes and T2* values performed well in diagnosing and grading PCa.

Discussion: The T2* value has good value in detecting and predicting the grade of prostate cancer and can reflect the iron metabolism of the tumor, which could provide a foundation for the diagnosis and grading of PCa in the future.

Keywords: PI-RADS; diagnosis; iron mentalism; multiparametric magnetic resonance imaging; prostate cancer.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
PRISMA flow diagram of patients involved and order of the processes.
Figure 2
Figure 2
ROC curve of the markers. (A) Diagnostic utility of TPSA, T2* value and ADC value in the PCA and BPH group. (B) Diagnostic utility of ferritin, hepcidin and Fe in the PCA and BPH group. (C) Diagnostic utility of T2* value and ADC value in the low ISUP and high ISUP group. (D) Diagnostic utility of ferritin, hepcidin and Fe in the low ISUP and high ISUP group.

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