Evidence map›Paper›PMID 32163295›Full record

ArticleThe British journal of radiology2020

The value of diffusion-weighted imaging based on monoexponential and biexponential models for the diagnosis of benign and malignant lung nodules and masses.

Jianqin Jiang, Yigang Fu, Xiaoyun Hu, Lei Cui, Qin Hong, Xiaowen Gu, Jianbing Yin, Rongfang Cai, Gaofeng Xu

Abstract readComparative Study
In one paragraph

Article in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
–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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Diagnostic efficiency of intravoxel incoherent motion-based virtual magnetic resonance elastography in pulmonary neoplasms.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Autofluorescence bronchoscope diagnosis for lung nodules and masses.American journal of translational research · 2021
    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

9 authors.

Jianqin JiangDepartment of Radiology, Yancheng City No.1 People's Hospital, Yancheng, China.
Yigang FuDepartment of Radiology, Yancheng City No.1 People's Hospital, Yancheng, China.
Xiaoyun HuDepartment of Radiology, Wuxi People's Hospital, Wuxi, China.
Lei CuiDepartment of Radiology, Second Affiliated Hospital of Nantong University, Nantong, China.
Qin HongDepartment of Radiology, Yancheng City No.1 People's Hospital, Yancheng, China.
Xiaowen GuDepartment of Radiology, Suzhou Municipal Hospital, Suzhou, China.
Jianbing YinDepartment of Radiology, Second Affiliated Hospital of Nantong University, Nantong, China.
Rongfang CaiDepartment of Radiology, Second Affiliated Hospital of Nantong University, Nantong, China.
Gaofeng XuDepartment of Radiology, Yancheng City No.1 People's Hospital, Yancheng, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective is to compare the efficacy of diffusion-weighted imaging (DWI) parameters of mean and minimum apparent diffusion coefficient (ADC

methodsLung lesions measured larger than 1.5 cm on CT were included between August 2015 and September 2018. DWI (10 b-values, 0-1000 s/mm

results121 patients were finally enrolled, each with one lesion. Examined 121 lesions were malignant in 88 (72.7%) and benign in 33 (27.3%). The ADC

conclusionADC is the most robust parameter to differentiate benign and malignant lung nodules, whereas D is the most robust parameter to differentiate benign and malignant lung masses. ADVANCES IN KNOWLEDGE: This is the first study to compare all the quantitative parameters of DWI and IVIM mentioned in the literatures for assessing lung lesions; Second, we divided the lesions into lung nodules and lung masses with the size of 3 cm as the boundary.

Indexed as

AdultAgedAged, 80 and overDiffusion Magnetic Resonance ImagingFemaleHumansImage EnhancementLung DiseasesLung NeoplasmsMaleMiddle AgedMultiple Pulmonary NodulesObserver VariationROC CurveSensitivity and SpecificityStatistics, Nonparametric

Identifiers

PMID32163295
PMCPMC10993207

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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.