Evidence map›Paper›PMID 34469214›Full record

ArticleRadiographics : a review publication of the Radiological Society of North America, Inc

Approach to Cystic Lesions in the Abdomen and Pelvis, with Radiologic-Pathologic Correlation.

Joseph H Yacoub, Jennifer A Clark, Edina E Paal, Maria A Manning

Abstract read
In one paragraph

Article in Radiographics : a review publication of the Radiological Society of North America, Inc. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Review
  2. The Stalk Sign in Bladder Cancer: CEUS Versus MRI.Diagnostics (Basel, Switzerland) · 2026
    Article
  3. Common and Uncommon Splenic Lesions: A Review.Diagnostics (Basel, Switzerland) · 2026
    Review
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  8. Review
  9. Article
  10. Article
  11. Article
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  20. Review
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

4 authors.

Joseph H YacoubFrom the Department of Radiology, MedStar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC 20007 (J.H.Y., J.A.C., M.A.M.); Pathology and Laboratory Medicine Service, VA Medical Center, Washington, DC (E.E.P.); Department of Pathology, George Washington University School of Medicine and Health Sciences, Washington, DC (E.E.P.); and American Institute for Radiologic Pathology, Silver Spring, Md (M.A.M.).ORCID https://orcid.org/0000-0002-7831-1680
Jennifer A ClarkFrom the Department of Radiology, MedStar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC 20007 (J.H.Y., J.A.C., M.A.M.); Pathology and Laboratory Medicine Service, VA Medical Center, Washington, DC (E.E.P.); Department of Pathology, George Washington University School of Medicine and Health Sciences, Washington, DC (E.E.P.); and American Institute for Radiologic Pathology, Silver Spring, Md (M.A.M.).
Edina E PaalFrom the Department of Radiology, MedStar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC 20007 (J.H.Y., J.A.C., M.A.M.); Pathology and Laboratory Medicine Service, VA Medical Center, Washington, DC (E.E.P.); Department of Pathology, George Washington University School of Medicine and Health Sciences, Washington, DC (E.E.P.); and American Institute for Radiologic Pathology, Silver Spring, Md (M.A.M.).
Maria A ManningFrom the Department of Radiology, MedStar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC 20007 (J.H.Y., J.A.C., M.A.M.); Pathology and Laboratory Medicine Service, VA Medical Center, Washington, DC (E.E.P.); Department of Pathology, George Washington University School of Medicine and Health Sciences, Washington, DC (E.E.P.); and American Institute for Radiologic Pathology, Silver Spring, Md (M.A.M.).ORCID https://orcid.org/0000-0003-1054-0011

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cystic lesions found in and around the peritoneal cavity can often be challenging to diagnose owing to significant overlap in imaging appearance between the different entities. When the cystic lesion can be recognized to arise from one of the solid abdominal organs, the differential considerations can be more straightforward; however, many cystic lesions, particularly when large, cannot be clearly associated with one of the solid organs. Cystic lesions arising from the mesentery and peritoneum are less commonly encountered and can be caused by relatively rare entities or by a variant appearance of less-rare entities. The authors provide an overview of the classification of cystic and cystic-appearing lesions and the basic imaging principles in evaluating them, followed by a summary of the clinical, radiologic, and pathologic features of various cystic and cystic-appearing lesions found in and around the peritoneal cavity, organized by site of origin. Emphasis is given to lesions arising from the mesentery, peritoneum, or gastrointestinal tract. Cystic lesions arising from the liver, spleen, gallbladder, pancreas, urachus, adnexa, or soft tissue are briefly discussed and illustrated with cases to demonstrate the overlap in imaging appearance with mesenteric and peritoneal cystic lesions. When approaching a cystic lesion, the key imaging features to assess include cyst content, locularity, wall thickness, and presence of internal septa, solid components, calcifications, or any associated enhancement. While definitive diagnosis is not always possible with imaging, careful assessment of the imaging appearance, location, and relationship to adjacent structures can help narrow the differential diagnosis.

Indexed as

Abdominal CavityCystsDiagnosis, DifferentialHumansMesenteryPelvisPeritoneum

Identifiers

PMID34469214
PMCPMC8415047

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.