Differential diagnostic value of magnetic resonance diffusion-weighted imaging and apparent diffusion coefficient for renal clear cell carcinoma and non-clear cell carcinoma

Oncol Lett. 2022 Dec 21;25(2):60. doi: 10.3892/ol.2022.13647. eCollection 2023 Feb.

Abstract

Accurate identification of renal cell carcinoma (RCC) subtypes before surgery is important to determine appropriate surgical methods and clinical prognosis. The objective of the present study was to investigate the differential diagnostic value of magnetic resonance diffusion-weighted imaging (MRI-DWI) and the measured apparent diffusion coefficient (ADC) in clear cell (cc) RCC and non-ccRCC. Imaging data (DWI and ADC) from 100 patients with pathologically confirmed RCC from March 2018 to March 2021 in Affiliated Hospital of Gansu University of Chinese Medicine, (Lanzhou, China) were retrospectively analyzed, including 32 cases of non-ccRCC (21 cases of chromophobe and 11 cases of papillary cell carcinoma) and 68 cases of ccRCC. Patients underwent MRI examination, including high and low B-value DWI, to compare the imaging features of the two RCC subtypes and the ADC values of tumor sites were measured. The results of the DWI and ADC were statistically different between the two RCC subtypes (P<0.01). The DWI of ccRCC was primarily low, equal or slightly high signal. ADC of ccRCC was mainly equal or slightly high signal and the high B-value DWI signal was lower than the low B-value DWI. DWI of non-ccRCC was mostly obviously high signal. ADC of non-ccRCC was mostly uniform, obviously low signal and the high B-value DWI signal was markedly higher than the low B-value DWI. The ADC values of non-ccRCC were lower than those of ccRCC, and the ADC values <1.42±0.48×10-3 mm2/s were mostly non-ccRCC. In conclusion, MRI-DWI and ADC can be used to differentiate subtypes of RCC to determine appropriate surgical methods and clinical prognosis.

Keywords: MRI; apparent diffusion coefficient; clear cell renal cell carcinoma; differential diagnosis; diffusion-weighted imaging; non-clear cell renal cell carcinoma.

Grants and funding

The present study was supported by the Health Industry Plan Project of Gansu Province (grant no. GSWSKY2020-09) and the Science and Technology Project of Chengguan District, Lanzhou (grant no. 2020SHFZ0007).