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Arch. esp. urol. (Ed. impr.) ; 76(8): 570-578, 28 oct. 2023. ilus, tab
Artigo em Inglês | IBECS (Espanha) | ID: ibc-227319

RESUMO

Objective: The diagnostic value of multi-slice helical computed tomography (MSCT) reconstruction parameters combined with 3.0 T magnetic resonance (MR) in clear cell renal cell carcinoma (CCRCC) was analysed. Methods: A total of 158 patients with renal tumours were selected in First Hospital in Zibo city from February 2018 to March 2023 for the retrospective study and divided into CCRCC and non-CCRCCs groups according to the final results of pathological diagnosis. MSCT detection and 3.0 T MR detection were performed in both groups for imaging manifestation analysis. The receiver operating characteristic (ROC) curve was used in analysing the clinical efficacy of each single and combined diagnosis. Results: The results of pathological diagnosis showed 115 patients with CCRCC and 43 non-CCRCC patients, accounting for 72.78% and 27.22%, respectively. Patients with CCRCC had higher proportions of calcification, necrosis, cystic degeneration and more pseudocapsules than non-CCRCC patients (p < 0.05). Patients with CCRCC mainly showed peripheral and heterogeneous enhancement, whereas non-CCRCC patients mainly showed homogeneous enhancement, and the difference was significant (p < 0.05). The cortical phase, parenchymal phase and excretion stage had higher computed tomography (CT) values in the CCRCC group (p < 0.001), and no significant difference in the CT value of plain scan phase was found between the groups (p > 0.05). The CCRCC group had obviously higher apparent diffusion coefficient value and incidence of necrosis and cystic degeneration (p < 0.001), lower incidence of haemorrhage (p < 0.05) and distinctly higher cortical enhancement indexes in the cortical phase, parenchymal phase and delay period (p < 0.001) (AU)


Assuntos
Humanos , Tomografia Computadorizada por Raios X/métodos , Imageamento por Ressonância Magnética , Carcinoma de Células Renais/diagnóstico por imagem , Sensibilidade e Especificidade , Neoplasias Renais/diagnóstico por imagem , Curva ROC
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