Pattern of macrovascular invasion in hepatocellular carcinoma.
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Guarino Maria, Cucchetti Alessandro, Pontillo Giuseppina, Farinati Fabio, Benevento Francesca, Rapaccini Gian Ludovico, Di Marco Maria, Caturelli Eugenio, Zoli Marco, Rodolfo Sacco, Cabibbo Giuseppe, Marra Fabio, Mega Andrea, Gasbarrini Antonio, Svegliati-Baroni Gianluca, Foschi Francesco Giuseppe, Missale Gabriele, Masotto Alberto, Nardone Gerardo, Raimondo Giovanni, Azzaroli Francesco, Vidili Gianpaolo, Oliveri Filippo, Trevisani Franco, Giannini Edoardo G, Morisco Filomena, ITA.LI.CA Group
Аннотация
METHODS: We analysed data of 4774 patients diagnosed with HCC recorded in the Italian Liver Cancer (ITA.LI.CA) database (2008-2018). Recursive partition analysis (RPA) was performed to evaluate interactions between MaVI, clinical variables and treatment, exploring the inter-relationship determining overall survival.
RESULTS: MaVI prevalence was 11.1%, and median survival of these patients was 6.0 months (95% CI, 5.1-7.1). MaVI was associated with younger age at diagnosis, presence of symptoms, worse Performance Status (PS) and liver function, high alphafetoprotein levels and large HCCs. MaVI extension was associated with worse PS, ascites and greater impairment in liver function. RPA identified patients' categories with different treatment indications and survival, ranging from 2.4 months in those with PS > 1 and ascites, regardless of MaVI extension (receiving best supportive care in 90.3% of cases), to 14.1 months in patients with PS 0-1, no ascites and Vp1-Vp2 MaVI (treated with surgery in 19.1% of cases).
CONCLUSIONS: MaVI presence and extension, together with PS and ascites, significantly affect patients' survival and treatment selection. The decision tree based on these parameters may help assess patients' prognosis and inform therapeutic decisions.