| Literature DB >> 32166122 |
Jinendra Satiya1, Omar Y Mousa2, Kapil Gupta1, Shivani Trivedi1, Sven P Oman3, Karn Wijarnpreecha3, Denise M Harnois3, Juan Enrique Corral3.
Abstract
AIM OF THE STUDY: Combined magnetic resonance imaging and magnetic resonance cholangiopancreatography (MRI/MRCP) can identify biliary strictures and diagnose primary sclerosing cholangitis (PSC). Diagnosis of cholangiocarcinoma in patients with PSC remains challenging, and the accuracy of MRI/MRCP has not been completely established. We aimed to determine the sensitivity and specificity of MRI/MRCP in the diagnosis of cholangiocarcinoma among patients with PSC from the published literature.Entities:
Keywords: abdominal imaging; cholangiocarcinoma; primary sclerosing cholangitis; screening
Year: 2020 PMID: 32166122 PMCID: PMC7062114 DOI: 10.5114/ceh.2020.93054
Source DB: PubMed Journal: Clin Exp Hepatol ISSN: 2392-1099
Characteristics of studies reporting MRI/MRCP in primary sclerosing cholangitis
| First author | Publication year | Location | Design | Source | Specific population | Patients invited | PSC Patients enrolled | PSC with MRCP |
|---|---|---|---|---|---|---|---|---|
| Angulo P [ | 2000 | United States | Case control | Embase, meta-analysis radiology 2010 | Suspected PSC | 73 | 23 | 23 |
| BaskanO[ | 2016 | Turkey | Case series | PubMed | PSC, autoimmune hepatitis, primary biliary cholangitis, nonalcoholic steatohepatitis, and portal hypertensive biliopathy | 70 | 39 | 39 |
| BerstadAE [ | 2006 | Norway | Case series | Embase, meta-analysis radiology 2010 | PSC, autoimmune hepatitis, primary biliary cholangitis, hemochromatosis, nonalcoholic steatohepatitis, and other | 66 | 39 | 39 |
| Muir AJ [ | 2017 | United States | Prospective trial | Embase, conf. AASLD | PSC | 234 | 234 | 234 |
| Samuel MT [ | 2017 | United States | Retrospective cohort | Embase, conf. DDW | Cholangiocarcinoma(with and without PSC) vs. healthy controls | 210 | 20 | 20 |
| TencaA[ | 2016 | Finland | Case series | Embase, conf. UEGW | Intra- and extrahepaticPSC | 50 | 59 | 59 |
| TencaA[ | 2018 | Finland | Retrospective cohort | PubMed | Intra- and extrahepaticPSC | 48 | 48 | 48 |
| Weber C [ | 2008 | Germany | Case control | PubMed | PSC vs. healthy controls | 95 | 69 | 69 |
| Total | 846 | 531 | 531 |
AASLD – American Association for Study of Liver Disease, conf. – conference, DDW – Digestive Disease Week, MRCP – magnetic resonance cholangiopancreatography, MRI – magnetic resonance imaging, PSC – primary sclerosing cholangitis, UEGW – European Gastroenterology Week
Patients invited include controls and all diseases
Fig. 1Diagnostic yield of MRI/MRCP to identify cholangiocarcinoma in PSC. Study selection flow diagram (PRISMA 2009)
Imaging findings and sensitivity estimates
| First author | PSC with MRCP, no. of patients | True positive, no. of patients | True negative, no. of patients | False positive, no. of patients | False negative, no. of patients | Sensitivity (%) (95% CI) | Specificity (%) (95% CI) | PPV (%) | NPV (%) |
|---|---|---|---|---|---|---|---|---|---|
| Angulo P [ | 23 | 1 | 22 | 0 | 0 | 100.0 (95.6-100.0) | 100.0 (95.6-100.0) | 100.0 | 100.0 |
| Baskan O [ | 39 | 1 | 37 | 0 | 1 | 50.0 (47.4-52.6) | 100.0 (97.4-100.0) | 100.0 | 97.4 |
| Berstad AE [ | 39 | 1 | 38 | 1 | 0 | 100.0 (97.4-100.0) | 97.4 (91.2-100.0) | 50.00 | 100.0 |
| Muir AJ [ | 234 | 3 | 231 | 0 | 0 | 100.0 (99.3-100.0) | 100.0 (99.3-100.0) | 100.0 | 100.0 |
| Samuel MT [ | 20 | 10 | 10 | 0 | 0 | 100.0 (84.2-100.0) | 100.0 (84.2-100.0) | 100.0 | 100.0 |
| Tenca A [ | 59 | 4 | 55 | 0 | 0 | 100.0 (96.6-100.0) | 100.0 (96.6-100.0) | 100.0 | 100.0 |
| Tenca A [ | 48 | 7 | 41 | 0 | 0 | 100.0 (94.4-100.0) | 100.0 (94.5-100.0) | 100.0 | 100.0 |
| Weber C [ | 69 | 6 | 67 | 0 | 2 | 75.0 (71.4-78.5) | 100.0 (96.5-78.6) | 100.0 | 97.1 |
| Total | 531 | 33 | 501 | 1 | 3 | 98.9 (98.6-99.3)a | 99.9 (99.6-100)a | 97.1b | 99.4b |
MRCP – magnetic resonance cholangiopancreatography, NPV – negative predictive value, PPV – positive predictive value, PSC – primary sclerosing cholangitis
aPooled from random effects model meta-analysis
bCrude PPV and NPV calculation
Fig. 2Forest plot of MRI/MRCP sensitivity and specificity to identify cholangiocarcinoma in PSC
Newcastle-Ottawa Assessment of Bias
| First author | Selection | Compa-rability | Exposure or outcome | Total (max 9 pts) |
|---|---|---|---|---|
| Angulo P [ | 2 | 1 | 3 | 6 |
| Baskan O [ | – | – | – | N/A |
| Berstad AE [ | 2 | 0 | 2 | 4 |
| Muir AJ [ | 2 | 0 | 3 | 5 |
| Samuel MT [ | 2 | 1 | 3 | 6 |
| Tenca A [ | 2 | 0 | 2 | 4 |
| Tenca A [ | 3 | 0 | 3 | 6 |
| Weber C [ | 1 | 1 | 2 | 4 |
Max – maximum, pts – points
Fig. 3Funnel plot for included studies with pseudo 95% CI