Evidence map›Paper›PMID 27302492›Full record

ArticleThe British journal of radiology2016

Diffusion tensor imaging of breast lesions: evaluation of apparent diffusion coefficient and fractional anisotropy and tissue cellularity.

Ruisheng Jiang, Zhijun Ma, Haixia Dong, Shihang Sun, Xiangmin Zeng, Xiao Li

Abstract read
In one paragraph

Article in The British journal of radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
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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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Update on DWI for Breast Cancer Diagnosis and Treatment Monitoring.AJR. American journal of roentgenology · 2024
    Review
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  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
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  14. Article
  15. Review
  16. Observational
  17. Article
  18. Article
  19. DW-MRI of the breast: a pictorial review.Insights into imaging · 2019
    Article
  20. Diffusion MRI of cancer: From low to high b-values.Journal of magnetic resonance imaging : JMRI · 2019
    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

6 authors.

Ruisheng Jiang1 Department of Computer Tomography and Magnetic Resonance Imaging, Weifang Medical College Affiliated Yidu Central Hospital, Weifang, China.
Zhijun Ma1 Department of Computer Tomography and Magnetic Resonance Imaging, Weifang Medical College Affiliated Yidu Central Hospital, Weifang, China.
Haixia Dong1 Department of Computer Tomography and Magnetic Resonance Imaging, Weifang Medical College Affiliated Yidu Central Hospital, Weifang, China.
Shihang Sun1 Department of Computer Tomography and Magnetic Resonance Imaging, Weifang Medical College Affiliated Yidu Central Hospital, Weifang, China.
Xiangmin Zeng1 Department of Computer Tomography and Magnetic Resonance Imaging, Weifang Medical College Affiliated Yidu Central Hospital, Weifang, China.
Xiao Li2 Medical Imaging Center, Linyi People's Hospital, Linyi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the apparent diffusion coefficient (ADC) and fractional anisotropy (FA) measured by diffusion tensor imaging (DTI), tissue cellularity and their relationship in breast malignant/benign lesions.

methods88 patients with 88 breast lesions who underwent DTI and dynamic contrast-enhanced MR scanning between November 2013 and December 2014 were retrospectively analyzed. The diagnosis was confirmed pathologically. ADC and FA values as well as histopathological cellularity of different pathological types of lesions were analyzed and compared statistically. The Pearson's correlation between cellularity and ADC and FA was calculated.

resultsThere were 59 cases of breast cancer and 29 cases of benign lesions included in the study. ADC values of breast cancers were statistically lower than that of benign lesions (p < 0.001). FA and cellularity were higher in cancers than in benign lesions with statistical significance (p < 0.05 and p < 0.001, respectively). The mean FA values in the patients with invasive ductal carcinoma (IDC) were higher than that in the patients with ductal carcinoma in situ (DCIS) without statistical difference (p > 0.05). The ADC and the cellularity in the IDC of grade III were statistically lower (p < 0.05) and higher (p < 0.05) than that in the DCIS and IDC of grade I-II, respectively. ADC was negatively correlated to cellularity (r = -0.8319, p < 0.001) and FA was positively correlated to cellularity (r = 0.4231, p < 0.001).

conclusionADC and FA values were statistically different between benign and malignant breast lesions and were significantly correlated to tissue cellularity. ADC and FA may help to discriminate malignant from benign breast lesions and to predict cellularity. ADC is helpful in the prediction of the grade of breast cancer. ADVANCES IN KNOWLEDGE: ADC and FA values were statistically different between benign and malignant breast lesions and were significantly correlated to tissue cellularity.

Indexed as

Diffusion Tensor ImagingAdultAgedAnisotropyBreast DiseasesBreast NeoplasmsCell CountFemaleHumansMiddle AgedRetrospective Studies

Identifiers

PMID27302492
PMCPMC5124883

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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.