Evidence map›Paper›PMID 39470795›Full record

ArticleEuropean radiology2025

Added value of body MRI to detect primary abdominal malignancies in the diagnostic work-up of patients with adenocarcinoma of unknown primary.

Jeroen R J Willemse, Max J Lahaye, Elisabeth P Goedegebuure, Petur Snaebjornsson, Serena Marchetti, Marieke Vollebergh, Larissa W van Golen, Wouter V Vogel, Sajjad Rostami, Zuhir Bodalal and 2 more

Abstract read
In one paragraph

Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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

12 authors.

Jeroen R J WillemseDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Max J LahayeDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Elisabeth P GoedegebuureDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Petur SnaebjornssonDepartment of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Serena MarchettiDepartment of Medical Oncology and Clinical Pharmacology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Marieke VolleberghDepartment of Gastrointestinal Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Larissa W van GolenDepartment of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Wouter V VogelDepartment of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Sajjad RostamiDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Zuhir BodalalDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Regina G H Beets-TanDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
Doenja M J LambregtsDepartment of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands. d.lambregts@nki.nl.ORCID http://orcid.org/0000-0003-2990-0099

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to evaluate the added benefit of body MRI (covering the chest, abdomen, and pelvis) to detect the primary tumour in patients with adenocarcinoma of unknown primary (ACUP) and a suspected abdominal malignancy in whom previous diagnostic work-up with CT and/or FDG-PET/CT did not yield a primary tumour diagnosis.

methodsThirty ACUP patients with a suspected primary tumour in the abdomen/pelvis (based on pathology and/or pattern of disease) underwent MRI (T2-weighted, DWI, pre- and post-contrast T1-weighted) after completion of their initial diagnostic work-up with CT and/or PET/CT. Effects of MRI to establish a primary tumour diagnosis (and to detect additional metastatic sites) were documented. Integration of all available imaging data, additional diagnostic procedures (e.g., endoscopy), histopathology, and whole genome sequencing served as the composite standard of reference.

resultsMRI rendered a possible primary tumour diagnosis in 16/30 (53%) cases, which aligned with the final clinical diagnosis in 9/16 (56%) of these cases, thus resulting in a confirmed primary tumour diagnosis in 30% of our total patient cohort. These included four gastrointestinal, two hepatobiliary, one pancreatic, one ovarian and one breast cancer. MRI revealed extra metastatic sites in five patients (17%).

conclusionMRI can be of added value in the diagnostic work-up of ACUP patients with a suspected primary tumour originating from the abdomen or pelvis, in particular to detect gastrointestinal or hepatobiliary malignancies. Larger studies are needed to confirm these results and identify specific ACUP patients that are most likely to benefit from MRI. KEY POINTS: Question Can body MRI help identify the primary tumour in patients with adenocarcinoma of unknown primary (ACUP)? Findings In this pilot of n = 30 ACUP patients with clinically suspected abdominal malignancies, body MRI was able to establish the primary tumour in 30% of cases. Clinical relevance Body MRI can be of added value (as an adjunct to CT and/or PET/CT) in the diagnostic work-up of ACUP patients with a suspected primary tumour originating from the abdomen or pelvis, especially to detect gastrointestinal or hepatobiliary malignancies.

Indexed as

Abdominal NeoplasmsAdenocarcinomaMagnetic Resonance ImagingNeoplasms, Unknown PrimaryAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPositron Emission Tomography Computed TomographyMagnetic resonance imagingNeoplasmsPositron emission tomography computed tomography

Identifiers

PMID39470795
PMCPMC12021699

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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 Socratic graph.