Evidence map›Paper›PMID 38304790›Full record

ArticleHeliyon2024

Comparison of MUSE-DWI and conventional DWI in the application of invasive breast cancer and malignancy grade prediction: A comparative study.

Weicheng Wang, Bowen Dou, Qi Wang, Haogang Li, Changshuai Li, Wenjing Zhao, Longjiang Fang, Dmytro Pylypenko, Yujing Chu

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 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
1.2field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 1 country.

Weicheng WangWeifang Medical University, Weifang, 261053, China.
Bowen DouWeifang Medical University, Weifang, 261053, China.
Qi WangDepartment of Radiology, Weifang People's Hospital, Weifang, Shandong, 261041, China.
Haogang LiDepartment of Radiology, Weifang People's Hospital, Weifang, Shandong, 261041, China.
Changshuai LiDepartment of Radiology, Weifang People's Hospital, Weifang, Shandong, 261041, China.
Wenjing ZhaoDepartment of Radiology, Weifang People's Hospital, Weifang, Shandong, 261041, China.
Longjiang FangDepartment of Radiology, Weifang People's Hospital, Weifang, Shandong, 261041, China.
Dmytro PylypenkoMagnetic Resonance Research, GE Healthcare, Beijing, China.
Yujing ChuDepartment of Radiology, Weifang People's Hospital, Weifang, Shandong, 261041, China.
Weifang People's Hospital · CNWeifang Medical University · CNUnited Imaging Healthcare (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare MUSE-DWI with conventional DWI in assessing lesions of invasive breast cancer and evaluating the ADC values for preoperative histological grading. Methods: A retrospective analysis was conducted on 63 lesions confirmed as invasive breast cancer by surgical or biopsy pathology. Preoperatively, all patients underwent MUSE-DWI, conventional DWI, and dynamic contrast-enhanced (DCE) scans. Two radiologists with over 5 years of experience (intermediate and senior levels, respectively) subjectively evaluated the images for clarity, image artifacts, and distortion. Objective evaluation included signal-to-noise ratio (SNR) of lesions and fibrous tissue, as well as the ADC values of both imaging techniques. Due to the limited number of cases classified as grade I and the insignificant difference in disease-specific survival and recurrence scores between grades I and II tumors, grades I and II were grouped as low-grade, while grade III was classified as high-grade. Receiver operating characteristic (ROC) curves were used to evaluate the efficacy of ADC values in preoperatively predicting the grading of invasive breast cancer. Results: The SNR and subjective quality scores of MUSE-DWI images were significantly higher than those of conventional DWI (p < 0.05). For the same case, the ADC values of MUSE-DWI were lower than those of conventional DWI. The AUC values for predicting the grading of invasive breast cancer were 0.849 for MUSE-DWI and 0.801 for conventional DWI. Conclusion: Compared to conventional DWI, MUSE-DWI significantly reduces artifacts and distortions, greatly improving image quality. Moreover, MUSE-DWI demonstrates higher diagnostic efficacy for preoperative histological grading of invasive breast cancer.

Indexed as

Diagnostic efficacyDiffusion-weighted imagingImage qualityInvasive breast cancerMUSE-DWI

Identifiers

PMID38304790
PMCPMC10830508
OpenAlexW4391028209

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.