Evidence map›Paper›PMID 41594290›Full record

ReviewDiagnostics (Basel, Switzerland)2026

An Updated Review of Combined Hepatocellular Cholangiocarcinoma: A Rare and Poorly Understood Neoplasm.

Gavin Low, Xu Jing Qian, Ali Ramji, Blaire Anderson, Safwat Girgis, Karim Samji, Mitchell P Wilson

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Gavin LowDepartment of Radiology & Diagnostic Imaging, University of Alberta Hospital, University of Alberta, WMC 2B2.41 8440-112 ST, Edmonton, AB T6G2B7, Canada.ORCID 0000-0002-4959-8934
Xu Jing QianDepartment of Radiology & Diagnostic Imaging, University of Alberta Hospital, University of Alberta, WMC 2B2.41 8440-112 ST, Edmonton, AB T6G2B7, Canada.ORCID 0009-0009-7805-0562
Ali RamjiDepartment of Radiology & Diagnostic Imaging, University of Alberta Hospital, University of Alberta, WMC 2B2.41 8440-112 ST, Edmonton, AB T6G2B7, Canada.
Blaire AndersonDepartment of Surgery, University of Alberta, Edmonton, AB T6G2B7, Canada.
Safwat GirgisDepartment of Laboratory Medicine & Pathology, University of Alberta, Edmonton, AB T6G2B7, Canada.
Karim SamjiDepartment of Radiology & Diagnostic Imaging, University of Alberta Hospital, University of Alberta, WMC 2B2.41 8440-112 ST, Edmonton, AB T6G2B7, Canada.
Mitchell P WilsonDepartment of Radiology & Diagnostic Imaging, University of Alberta Hospital, University of Alberta, WMC 2B2.41 8440-112 ST, Edmonton, AB T6G2B7, Canada.ORCID 0000-0002-1630-5138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combined hepatocellular cholangiocarcinoma (cHCC-CC) is a rare and poorly understood primary liver cancer. First identified over a century ago, it has been referred to by various names and reclassified multiple times since the initial description. Diagnosis is extremely challenging as the tumor can mimic hepatocellular carcinoma (HCC) or intrahepatic cholangiocarcinoma (ICC) on imaging or show overlapping features of both. The tumor may also be incorrectly diagnosed with biopsy due to inadequate tissue sampling. As such, many tumors are only correctly diagnosed histologically following surgical resection or transplantation for presumptive HCC. A variety of treatment options are available, although no national or international consensus exists regarding the optimal treatment strategy. Treatment outcomes vary with cHCC-CC showing an intermediate prognosis between HCC and ICC. In this updated review, we provide a conceptual overview of this intriguing neoplasm, including its classification and origins, epidemiology, clinical characteristics, and diagnostic and treatment options. Finally, we discuss the use of radiomics artificial intelligence (AI) to address challenges in lesion differentiation from HCC and ICC, and in predicting post-treatment survival and recurrence.

Indexed as

combined hepatocellular cholangiocarcinomacomputed tomographymagnetic resonance imagingprognosisradiomicstreatment options

Identifiers

PMID41594290
PMCPMC12839964

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.