Evidence map›Paper›PMID 40117384›Full record

SynthesisThe British journal of radiology2025

Imaging of cancer of unknown primary: a systematic literature review of the past, present, and future.

Sajjad Rostami, Hannah W Stutterheim, Olga Maxouri, Jeroen R J Willemse, Diana Ivonne Rodríguez Sánchez, Winnie Schats, Larissa W van Golen, Marieke A Vollebergh, Zing Cheung, Wouter V Vogel and 6 more

Abstract readSystematic Review
In one paragraph

Synthesis in The British journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. 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

16 authors.

Sajjad RostamiDepartment of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.ORCID 0000-0003-2883-0578
Hannah W StutterheimDepartment of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Olga MaxouriDepartment of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Jeroen R J WillemseDepartment of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Diana Ivonne Rodríguez SánchezDepartment of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Winnie SchatsScientific Information Service, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Larissa W van GolenDepartment of Nuclear Medicine, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Marieke A VolleberghDepartment of Gastrointestinal Oncology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Zing CheungDepartment of Nuclear Medicine, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Wouter V VogelDepartment of Nuclear Medicine, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Serena MarchettiDepartment of Medical Oncology and Clinical Pharmacology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Petur SnaebjornssonDepartment of Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Max J LahayeDepartment of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Doenja M J LambregtsDepartment of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Zuhir BodalalDepartment of Radiology, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.
Regina G H Beets-TanGROW Research Institute for Oncology and Reproduction, Maastricht University, 6211 LK Maastricht, The Netherlands.

Funding

Dutch Cancer SocietyDutch Ministry of Health, Welfare, and SportEuropean Union's Horizon 2020 research and innovationMarie Skłodowska-Curie 101034290Research at the Netherlands Cancer Institute
6 · The paper itself

Abstract

objectivesTo evaluate the evolution and current diagnostic capabilities of medical imaging in cancer of unknown primary (CUP) and explore promising technologies for enhancing diagnostic precision.

methodsA comprehensive literature search was conducted across MEDLINE, Embase, and Scopus in March 2023 (updated in August 2024) to identify original articles focusing on CUP imaging. Two reviewers independently selected articles and extracted data. Quality assessment was performed using QUADAS-2 and Radiomics Quality Score. Given the variability in study designs, imaging techniques, and reported outcomes, a narrative synthesis was performed. Subgroup analyses compared detection rates across modalities.

resultsFrom 4760 de-duplicated search results, 140 original articles were included. Early CUP imaging relied on 2D modalities with notable diagnostic limitations. Modern 3D modalities have risen in prominence, though mammography and ultrasound remain in CUP guidelines. Implementing CT and MRI significantly improved primary tumour detection and disease characterization. CT is fundamental for CUP evaluation, and MRI offers superior soft tissue resolution, effective for detecting occult breast cancer, head and neck primaries, and suspected abdominopelvic neoplasms. FDG-PET/CT showed varying primary detection capabilities, adding value in identifying lesions/metastases missed by other modalities, essential for confirming locoregional treatment strategies. Emerging technologies for CUP imaging include whole-body MRI, FAPI-PET/CT, and AI/radiomics.

conclusionsAdvancements in imaging have improved the diagnostic workup for CUP. Innovative approaches show potential for further improvement in diagnostic accuracy. ADVANCES IN KNOWLEDGE: This study provides a comprehensive overview of CUP imaging and introduces emerging modalities that could boost diagnostic accuracy. PROSPERO REGISTRATION: CRD42023453393.

Indexed as

Diagnostic ImagingNeoplasms, Unknown PrimaryHumansMagnetic Resonance ImagingTomography, X-Ray Computedartificial intelligencecancer of unknown primaryCTFAPIFDGmedical imagingMRIPETradiomics

Identifiers

PMID40117384
PMCPMC12341689

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.