Evidence map›Paper›PMID 33847811›Full record

SynthesisEuropean radiology2021

Accuracy of quantitative diffusion-weighted imaging for differentiating benign and malignant pancreatic lesions: a systematic review and meta-analysis.

MeiLin Zhu, ChuanDe Zhang, JingXin Yan, Ju Sun, XinYi Zhao, LuShun Zhang, LongLin Yin

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Imaging of the Liver and Pancreas: The Added Value of MRI.Diagnostics (Basel, Switzerland) · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
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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

7 authors at 4 institutions in 1 country.

MeiLin ZhuDepartment of Radiology, Sichuan Provincial People's Hospital Affiliated to University of Electronic Science and Technology of China, Chengdu, 610072, China.
ChuanDe ZhangDepartment of Radiology, Sichuan Provincial People's Hospital Affiliated to University of Electronic Science and Technology of China, Chengdu, 610072, China.
JingXin YanDepartment of Interventional Therapy, Qinghai University Affliated Hospital, Qinghai University, Xining, 810001, China.
Ju SunDepartment of Radiology, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, Chengdu, 610072, China.
XinYi ZhaoDepartment of Radiology, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, Chengdu, 610072, China.
LuShun Zhang *Department of Pathology and Pathophysiology, Chengdu Medical College, Development and Regeneration Key Laboratory of Sichuan Province, Chengdu, 610500, China. zhangls2012@163.com.ORCID http://orcid.org/0000-0001-6094-2460
LongLin Yin *School of Medicine, University of Electronic Science and Technology of China, Chengdu, China. yinlonglin@163.com.
University of Electronic Science and Technology of China · CNSichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital · CNChengdu Medical College · CNQinghai University · CN

Funding

Collaborative Innovation Center of Sichuan for Elderly Care and Health, Chengdu Medical College YLZBZ1807National Natural Science Foundation of China 81401161
6 · The paper itself

Abstract

backgroundA variety of imaging techniques can be used to evaluate diffusion characteristics to differentiate malignant and benign pancreatic lesions. The diagnostic performance of diffusion parameters has not been systematic assessed. PURPOSE: We aimed to investigate the diagnostic efficacy of quantitative diffusion-weighted imaging (DWI) for pancreatic lesions.

methodsA literature search was conducted using the PubMed, Embase, and Cochrane Library databases for studies from inception to March 30, 2020, which involves the quantitative diagnostic performance of diffusion-weighted imaging (DWI) and intravoxel incoherent motion (IVIM) in the pancreas. Studies were reviewed according to inclusion and exclusion criteria. The quality of articles was evaluated by the Quality Assessment of Diagnostic Accuracy Studies-2 (QUATAS-2). A bivariate random-effects model was used to evaluate pooled sensitivities and specificities. Univariable meta-regression analysis was used to test the effects of factors that contributed to the heterogeneity.

resultsA total of 31 studies involving 1558 patients were ultimately eligible for data extraction. The lowest heterogeneity was found in specificity of perfusion fraction (f) with the I

conclusionQuantitative DWI and IVIM have a good diagnostic performance for differentiating malignant and benign pancreatic lesions. KEY POINTS: • IVIM has high sensitivity and specificity (84% and 83%, respectively) for differential diagnosis of pancreatic lesions, which is comparable to that of the ADC (83% and 87%, respectively). • The ADC has an excellent diagnostic performance for differentiating malignant from benign IPMNs (sensitivity, 0.83; specificity, 0.92); the f has the best diagnostic performance for differentiating pancreatic carcinoma from PNET (sensitivity, 0.85; specificity, 0.85). • For the ADC, using a maximal b value < 800 s/mm

Indexed as

Diffusion Magnetic Resonance ImagingPancreatic NeoplasmsHumansMotionPancreasSensitivity and SpecificityDifferential diagnosisDiffusion magnetic resonance imagingMeta-analysisPancreatic diseases

Identifiers

PMID33847811
OpenAlexW3153319038

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.