A utilidade da quantificação do coeficiente aparente de difusão na estratificação de risco do cancro da próstata por ressonância magnética em 1,5T sem sonda endorretal

Autor: Rui Mateus Marques, João Magalhães Pina, Tiago Bilhim, Nuno Vasco Costa, Luís Campos Pinheiro, Cecília Leal, João Lopes Dias, Sandra Carmo
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Acta Urológica Portuguesa; Vol 33 No 3 (2016): Setembro-Dezembro; 81-86
Acta Urológica Portuguesa; v. 33 n. 3 (2016): Setembro-Dezembro; 81-86
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Agência para a Sociedade do Conhecimento (UMIC)-FCT-Sociedade da Informação
instacron:RCAAP
ISSN: 2387-0419
2341-4022
Popis: Purpose To evaluate the relationship between mean apparent diffusion coefficient (ADC) and post-surgical Gleason scores. To determine the diagnostic accuracy of multiparametric magnetic resonance imaging (mp-MRI) on a 1.5 T magnet in distinguishing low, intermediate and high-grade prostate tumors. Material and methods This is a retrospective institutional-review-board-approved, single-center study including 30 patients (median age, 60 years) who underwent mp-MRI before prostatectomy for prostate cancer. Using histological reports for guidance, the tumors were localized in ADC maps, and mean ADCs were measured and examined for correlation with Gleason scores. 2 patients had 2 measurable foci, so a total of 32 tumors were studied. The diagnostic accuracy of the mean ADC was assessed by using the area under the receiver operating characteristic curve (ROC). Results In the differentiation of tumors with a Gleason score of 6 from those with a Gleason score of at least 7, mean ADC yielded an AUC of 0.76 (95% confidence interval: 0.59, 0.93). In the differentiation of tumors with Gleason scores of 6 or 7 from those with a Gleason score of at least 8, mean ADC yielded an AUC of 0.94 (95% confidence interval: 0.86, 1.00). Conclusion Mean ADC values may allow a correct assessment of the patient risk using a 1.5 T magnet without ERC.
Databáze: OpenAIRE