Evidence map›Paper›PMID 29633001›Full record

ArticleEuropean radiology2018

CT diagnosis of gallbladder adenomyomatosis: importance of enhancing mucosal epithelium, the "cotton ball sign".

Hyun Kyung Yang, Jeong Min Lee, Mi Hye Yu, Sang Min Lee, Jinyoung Park, Na Young Han, Kyoungbun Lee, Jin-Young Jang, Joon Koo Han

Erratum issuedAbstract read
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In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Guideline
  2. Article
  3. The rosary sign.Abdominal radiology (New York) · 2025
    Article
  4. The "cotton ball sign" of the galbladder.Abdominal radiology (New York) · 2023
    Article
  5. Article
  6. Gallbladder polyps and adenomyomatosis.The British journal of radiology · 2023
    Review
  7. Routine Histopathological Examination of the Specimen After Laparoscopic Cholecystectomy: Can We Be Brave Enough to Give Up?The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2021
    Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 8 institutions in 4 countries.

Hyun Kyung YangDepartment of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Jeong Min LeeDepartment of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea. jmsh@snu.ac.kr.ORCID http://orcid.org/0000-0003-3576-9146
Mi Hye YuDepartment of Radiology, Konkuk University School of Medicine, Seoul, Korea.
Sang Min LeeDepartment of Radiology, Hallym University Sacred Heart Hospital, Anyang, Gyeonggi-do, Korea.
Jinyoung ParkDepartment of Radiology, Dongnam Institute of Radiological and Medical Sciences, Busan, Korea.
Na Young HanDepartment of Pathology, National Cancer Center, Goyang, Gyeonggi-do, Korea.
Kyoungbun LeeDepartment of Pathology, Seoul National University Hospital, Seoul, Korea.
Jin-Young JangDepartment of Surgery, Seoul National University Hospital, Seoul, Korea.
Joon Koo HanDepartment of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
Seoul National University Hospital · KRDongnam Institute of Radiological & Medical Sciences · KRHallym University Sacred Heart Hospital · KRKonkuk University · KRNational Cancer Center · KRNew Generation University College · ETSeoul National University · KRWomen's College Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the diagnostic value of the cotton ball sign and other CT features in patients with gallbladder (GB) wall thickenings (WTs).

methodsThree blinded readers reviewed the preoperative CT and MR images of 101 patients with pathologically confirmed GB adenomyomatosis (GA) (n = 34) and other benign (n = 29), malignant (n = 41), and premalignant (n = 2) GBWTs. Three readers analysed the morphological features of GBWT and presence of the "cotton ball sign", defined as fuzzy grey dots in GBWT or a dotted outer border of the inner enhancing layer on contrast-enhanced (CE) CT. In addition, the "pearl necklace sign" on MR was analysed.

resultsIn the GA group (n = 34), prevalence of the cotton ball sign and pearl necklace sign was 74% (25/34) and 44% (15/34), respectively. Presence of the cotton ball sign, smooth contour of the mucosa, double-layering enhancement, and enhancement degree weaker than the renal cortex on CT images were significant predictors of benign GBWT (p < 0.01). When differentiating GA from GB malignancy or premalignancy, accuracy of the cotton ball sign and pearl necklace sign was 81% (62/77) and 74% (57/77), respectively.

conclusionThe cotton ball sign on CE-CT showed higher sensitivity and comparable specificity to those of the pearl necklace sign in differentiating GA from malignancy. KEY POINTS: • Prevalence of the cotton ball sign on CT was 74% in gallbladder adenomyomatosis. • The cotton ball sign was useful in differentiating gallbladder adenomyomatosis from gallbladder cancer. • The cotton ball sign was more sensitive than the pearl necklace sign for adenomyomatosis diagnosis.

Indexed as

AdenomyomaAdultAgedAged, 80 and overDiagnosis, DifferentialEpitheliumFemaleGallbladderGallbladder NeoplasmsHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedMucous MembranePrecancerous ConditionsAdenomyomaDiagnosis, differentialGallbladder diseasesGallbladder neoplasmsTomography, X-ray computed

Identifiers

PMID29633001
OpenAlexW2797184942

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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 OpenQuestion graph.