Volumetry of the dominant intraprostatic tumour lesion: intersequence and interobserver differences on multiparametric MRI

AbstractMetabolic reprogramming is one of the hallmarks of cancer and includes the Warburg effect, which is exhibited by many tumours. This can be exploited by positron emission tomography (PET) as part of routine clinical cancer imaging. However, an emerging and alternative method to detect altered metabolism is carbon-13 magnetic resonance imaging (MRI) following injection of hyperpolarised [1-13C]pyruvate. The technique increases the signal-to-noise ratio for the detection of hyperpolarised 13C-labelled metabolites by several orders of magnitude and facilitates the dynamic, noninvasive imaging of the exchange of 13C-pyruvate to 13C-lactate over time. The method has produced promising preclinical results in the area of oncology and is currently being explored in human imaging studies. The first translational studies have demonstrated the safety and feasibility of the technique in patients with prostate, renal, breast and pancreatic cancer, as well as revealing a successful response to treatment in breast and prostate cancer patients at an earlier stage than multiparametric MRI. This review will focus on the strengths of the technique and its applications in the area of oncological body MRI including noninvasive characterisation of disease aggressiveness, mapping of tumour heterogeneity, and early response assessment. A comparison of hyperpolarised 13C-MRI with state-of-the-art multiparametric MRI is likely to reveal the unique additional information and applications offered by the technique.

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Indications for prostate multiparametric MRI ‐ changes over 7 years in a single referral center

BJU International ◽

10.1111/bju.15423 ◽

2021 ◽

Author(s):

Shlomit Tamir ◽

Dor Hermann ◽

David Margel ◽

Shlomo Gavrielli ◽

Ahuva Grubstein ◽

...

Keyword(s):

Multiparametric Mri ◽

Referral Center ◽

Mri Changes

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Longitudinal Multiparametric MRI Assessment of Irradiated Salivary Gland in a Rat Model: Correlated With Histological Findings

Journal of Magnetic Resonance Imaging ◽

10.1002/jmri.27836 ◽

2021 ◽

Author(s):

Wei Chen ◽

Guo‐Yi Su ◽

Yan Zhou ◽

Jia‐Suo Jiang ◽

Run‐Hao Jiang ◽

...

Keyword(s):

Salivary Gland ◽

Rat Model ◽

Multiparametric Mri ◽

Histological Findings

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Quantitative 3-tesla multiparametric MRI in differentiation between renal cell carcinoma subtypes

Egyptian Journal of Radiology and Nuclear Medicine ◽

10.1186/s43055-020-00405-w ◽

2021 ◽

Vol 52 (1) ◽

Author(s):

Ali Elsorougy ◽

Hashim Farg ◽

Dalia Bayoumi ◽

Mohamed Abou El-Ghar ◽

Magda Shady

Keyword(s):

Renal Cell Carcinoma ◽

Cell Carcinoma ◽

Renal Cell ◽

Clear Cell ◽

Multiparametric Mri ◽

Histopathological Analysis ◽

Adc Value ◽

Intensity Index ◽

Apparent Diffusion ◽

The Mean

Abstract Background MRI provides several distinct quantitative parameters that may better differentiate renal cell carcinoma (RCC) subtypes. The purpose of the study is to evaluate the diagnostic accuracy of apparent diffusion coefficient (ADC), chemical shift signal intensity index (SII), and contrast enhancement in differentiation between different subtypes of renal cell carcinoma. Results There were 63 RCC as regard surgical histopathological analysis: 43 clear cell (ccRCC), 12 papillary (pRCC), and 8 chromophobe (cbRCC). The mean ADC ratio for ccRCC (0.75 ± 0.13) was significantly higher than that of pRCC (0.46 ± 0.12, P < 0.001) and cbRCC (0.41 ± 0.15, P < 0.001). The mean ADC value for ccRCC (1.56 ± 0.27 × 10−3 mm2/s) was significantly higher than that of pRCC (0.96 ± 0.25 × 10−3 mm2/s, P < 0.001) and cbRCC (0.89 ± 0.29 × 10−3 mm2/s, P < 0.001). The mean SII of pRCC (1.49 ± 0.04) was significantly higher than that of ccRCC (0.93 ± 0.01, P < 0.001) and cbRCC (1.01 ± 0.16, P < 0.001). The ccRCC absolute corticomedullary enhancement (196.7 ± 81.6) was significantly greater than that of cbRCC (177.8 ± 77.7, P < 0.001) and pRCC (164.3 ± 84.6, P < 0.001). Conclusion Our study demonstrated that multiparametric MRI is able to afford some quantitative features such as ADC ratio, SII, and absolute corticomedullary enhancement which can be used to accurately distinguish different subtypes of renal cell carcinoma.

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