Evidence map›Paper›PMID 42640498›Full record

ReviewClinical & experimental metastasis2026

Noninvasive molecular imaging signatures of histopathological growth patterns in colorectal cancer liver metastases.

Irina Vierasu, Francesco Sclafani, Jean-Luc Van Laethem, Wendy Delbart, Gilles Doumont, Ali Bohlok, Vincent Donckier, Patrick Flamen

Abstract readReview
In one paragraph

Review in Clinical & experimental metastasis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Irina VierasuNuclear Medicine Department, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium. o-i.vierasu@hubruxelles.be.ORCID http://orcid.org/0000-0002-0640-0916
Francesco SclafaniDepartment of Gastroenterology, Hepatology and Digestive Oncology, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Jean-Luc Van LaethemDepartment of Gastroenterology, Hepatology and Digestive Oncology, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Wendy DelbartNuclear Medicine Department, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Gilles DoumontCenter for Microscopy and Molecular Imaging, Université Libre de Bruxelles (ULB), Charleroi, Belgium.
Ali BohlokSurgery Department, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Vincent DonckierSurgery Department, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Patrick FlamenNuclear Medicine Department, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer liver metastases (CRLM) are characterized by distinct histopathological growth patterns (HGPs), desmoplastic (dHGP) also called encapsulated, replacement (rHGP) and pushing (pHGP) types, which have major prognostic and therapeutic implications. HGPs can only be determined histologically after surgical resection. This review explores molecular imaging as a potential in vivo approach to predict and characterize HGPs non-invasively. Based on the biological hallmarks of each pattern regarding glucose metabolism, angiogenesis, hypoxia, fibrotic stromal activation and immune contexture, we outline how specific PET tracers can capture these features. [

Indexed as

Colorectal NeoplasmsLiver NeoplasmsMolecular ImagingHumansNeovascularization, PathologicPositron-Emission TomographyColorectal cancer liver metastasesHistopathological growth patternsMolecular imaging signatures

Identifiers

PMID42640498
PMCPMC13506632

What OpenQuestion holds

Textmetadata
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.