Evidence map›Paper›PMID 38720833›Full record

ArticleQuantitative imaging in medicine and surgery2024

Effect of contrast agent on T2-weighted fat-suppressed imaging and diffusion-weighted imaging in the diagnosis of breast tumors.

Xuanle Li, Yongsheng Ao, Lan Mu, Changxiang Wang, Jierui Zhao, Hongliang Chen, Shuheng Zhang, Shimin Yang, Na Zhang, Lihua Qiu

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

10 authors.

Xuanle Li *Department of Radiology, Medical Imaging Research Institute, Huaihe Hospital of Henan University, Kaifeng, China.ORCID https://orcid.org/0009-0001-3925-5137
Yongsheng Ao *Medical Imaging Center, the Second People's Hospital of Yibin, Yibin, China.ORCID https://orcid.org/0009-0007-6208-8924
Lan MuMedical Imaging Center, the Second People's Hospital of Yibin, Yibin, China.ORCID https://orcid.org/0009-0007-0402-4965
Changxiang WangPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0009-0003-7417-5639
Jierui ZhaoMedical Imaging Center, the Second People's Hospital of Yibin, Yibin, China.ORCID https://orcid.org/0009-0009-5908-2358
Hongliang ChenMedical Imaging Center, the Second People's Hospital of Yibin, Yibin, China.ORCID https://orcid.org/0009-0002-0265-916X
Shuheng ZhangUnited Imaging Healthcare, Shanghai, China.
Shimin YangUnited Imaging Healthcare, Shanghai, China.
Na ZhangPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0001-9510-4520
Lihua QiuMedical Imaging Center, the Second People's Hospital of Yibin, Yibin, China.ORCID https://orcid.org/0000-0001-8045-3912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Although previous studies have shown that the injection of contrast agents can improve image quality, the specific impact of this on T2-weighted fat-suppressed (T2 FS) and diffusion-weighted imaging (DWI) sequences in the diagnosis of breast cancer remains incompletely understood. In particular, there is insufficient research on how contrast agents affect the signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and apparent diffusion coefficient (ADC) values within these sequences, and how these changes influence the diagnosis of benign and malignant breast tumors. Methods: Breast magnetic resonance images (MRI) were obtained from 178 consecutive patients on a 3T scanner. The SNR and CNR of lesions on T2 FS sequence were calculated before and after contrast agent injection and compared. Differences between pre- and post-contrast ADC in identifying different tumor types were compared using the Kruskal-Wallis H-test and the paired comparison test. The accuracy of ADC values between pre- and post-contrast in distinguishing benign and malignant breast masses was assessed using receiver operating characteristic (ROC) curves. Results: The SNR and CNR of T2 FS sequence increased after contrast injection, and especially for invasive cancer and benign tumor, the increase was significant. For DWI, there was a slight increase or decrease of ADC values after contrast injection, but the ADC values before and after contrast had a similar effect in identifying different types of tumors. In the ROC curve analysis for assessing benign and malignant breast tumors, the area under the curve (AUC) before and after contrast showed similar results. Conclusions: Contrast agent injection can improve the SNR and CNR of T2 FS sequence, thus providing higher quality images for the diagnosis of breast lesions. Furthermore, injection of contrast agent had little effect on the ability of ADC values to identify different types of lesions and both ADC values before and after the contrast agent were able to distinguish between benign and malignant tumors with almost the same accuracy.

Indexed as

apparent diffusion coefficient (ADC)Breast tumordiffusion-weighted imaging (DWI)signal-to-noise ratio (SNR)T2-weighted fat-suppressed imaging (T2 FS imaging)

Identifiers

PMID38720833
PMCPMC11074750

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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.