A quantitative MRCP-derived score for medium-term outcome prediction in primary sclerosing cholangitis

被引:16
作者
Cristoferi, Laura [1 ,2 ,3 ]
Porta, Marco [4 ]
Bernasconi, Davide Paolo [3 ]
Leonardi, Filippo [5 ]
Gerussi, Alessio [1 ,2 ]
Mulinacci, Giacomo [1 ,2 ]
Palermo, Andrea [1 ,2 ]
Gallo, Camilla [1 ,2 ]
Scaravaglio, Miki [1 ,2 ]
Stucchi, Eliana [1 ,2 ]
Maino, Cesare [4 ]
Ippolito, Davide [4 ,7 ]
D'Amato, Daphne [1 ,2 ]
Ferreira, Carlos [8 ]
Nardi, Alessandra [9 ]
Banerjee, Rajarshi
Valsecchi, Maria Grazia [3 ]
Antolini, Laura [3 ]
Corso, Rocco [4 ]
Sironi, Sandro [6 ,7 ]
Fagiuoli, Stefano [5 ]
Invernizzi, Pietro [1 ,2 ]
Carbone, Marco [1 ,2 ,10 ]
机构
[1] Univ Milano Bicocca, Ctr Autoimmune Liver Dis, Dept Med & Surg, Div Gastroenterol, Via Cadore 48, I-20900 Monza, MB, Italy
[2] San Gerardo Hosp, European Reference Network Hepatol Dis ERN RARE LI, Via Gian Battista Pergolesi 33, I-20900 Monza, Italy
[3] Univ Milano Bicocca, Sch Med & Surg, Bicocca Bioinformat Biostat & Bioimaging Ctr B4, Via Cadore 48, I-20900 Monza, MB, Italy
[4] San Gerardo Hosp, ASST Monza, Dept Diagnost Radiol, Via Gian Battista Pergolesi 33, I-20900 Monza, MB, Italy
[5] ASST Papa Giovanni 23, Gastroenterol Hepatol & Transplantat Unit, Piazza OMS 1, I-24127 Bergamo, BG, Italy
[6] ASST Papa Giovanni 23, Dept Radiol, Piazza OMS 1, I-24127 Bergamo, BG, Italy
[7] Univ Milano Bicocca, Sch Med, Via Cadore 48, I-20900 Monza, MB, Italy
[8] Perspectum Ltd, Gemini One 5520 John Smith Dr, Oxford OX4 2LL, England
[9] Univ Roma Tor Vergata, Dept Math, Via Ric Scientif 1, I-00133 Rome, RM, Italy
[10] Univ Milano Bicocca, Ctr Autoimmune Liver Dis, ERN Rare Liver, Via Cadore 48, I-20900 Monza, Italy
关键词
Artificial intelligence; MRCP; Primary sclerosing cholangitis; Prognostic score; NATURAL-HISTORY; SPLEEN SIZE; CHOLANGIOGRAPHY;
D O I
10.1016/j.dld.2022.10.015
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Background: Magnetic resonance cholangiopancreatography (MRCP) is the gold standard for diagnosis of patients with primary sclerosing cholangitis (PSC). The semi-quantitative MRCP-derived Anali scores proposed for risk stratification, have poor-to-moderate inter-reader agreement. Aims: To evaluate the prognostic performance of quantitative MRCP metrics in PSC. Methods: This is a retrospective study of PSC patients undergoing MRCP. Images were processed using MRCP + software (Perspectum Ltd, Oxford) that provides quantitative biliary features, semi-automatically extracted by artificial intelligence-driven analysis of MRCP-3D images. The prognostic value of biliary fea-tures has been assessed for all hepato-biliary complications. Results: 87 PSC patients have been included in the analysis. Median follow-up from MRCP to event/censoring of 30.9 months (Q1-Q3 = 13.6-46.6). An adverse outcome occurred in 27 (31.0%) patients. The number of biliary strictures (HR = 1.05 per unit, 95%CI 1.02-1.08, p < 0.0 0 01), spleen length (HR = 1.16 per cm, 95%CI 1.01-1.34, p = 0.039), adjusted for height, age at MRCP, and time from diagnosis to MRCP predicted higher risk of hepatobiliary complications. These were incorporated into a the quantitative MRCP-derived PSC (qMRCP-PSC) score (C-statistic = 0.80). After 3-fold cross-validation, qMRCP-PSC out-performed the Anali score in our cohort (C-statistic of 0.78 vs 0.64) and enabled the discrimination of survival of PSC patients (log-rank p < 0.0 0 01).Conclusions: The qMRCP-PSC score identified patients at higher risk of hepatobiliary complications and outperformed the available radiological scores. It represents a novel quantitative biomarker for disease monitoring and a potential surrogate endpoint for clinical trials. (c) 2022 The Author(s). Published by Elsevier Ltd on behalf of Editrice Gastroenterologica Italiana S.r.l. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
引用
收藏
页码:373 / 380
页数:8
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