Evidence map›Paper›PMID 42599454›Full record

ReviewAbdominal radiology (New York)2026

Great peritoneal pretenders: imaging mimickers of peritoneal carcinomatosis.

Jeremy Jose, Mariana DeFreitas, Kristen Olinger

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 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

3 authors.

Jeremy JoseDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, USA. jeremy_jose@med.unc.edu.ORCID http://orcid.org/0009-0000-5055-2338
Mariana DeFreitasDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, USA.ORCID http://orcid.org/0000-0002-9318-6988
Kristen OlingerDepartment of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, USA.ORCID http://orcid.org/0000-0002-5752-7802

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peritoneal pathology is commonly encountered in clinical practice yet remains diagnostically challenging due to substantial overlap in imaging appearances. Findings such as ascites, peritoneal thickening, and nodularity are often attributed to peritoneal carcinomatosis (PC), a metastatic condition associated with a worse prognosis than metastatic disease without peritoneal involvement. Accurate diagnosis is therefore essential for staging, treatment planning, and prognostication. However, a variety of benign and malignant conditions can produce similar findings. These "peritoneal pretenders" include inflammatory, infectious, traumatic, iatrogenic, and non-carcinomatous malignant processes. This imaging similarity can lead to diagnostic uncertainty, unnecessary investigations, or delays in appropriate management. Understanding peritoneal anatomy, fluid dynamics, and predictable patterns of disease spread is critical for accurate localization and interpretation. This review presents a practical pattern-based multimodality imaging approach to peritoneal pathology, integrating clinical context, disease acuity, imaging morphology and distribution, and targeted advanced imaging to distinguish PC from its benign and malignant mimics.

Indexed as

Diagnostic imagingDifferential diagnosisMultimodality imagingPeritoneal carcinomatosisPeritoneal neoplasmsPeritoneum

Identifiers

PMID42599454

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.