Evidence map›Paper›PMID 36937381›Full record

ArticleFrontiers in oncology2023

The utility of diffusion-weighted imaging for differentiation of phyllodes tumor from fibroadenoma and breast cancer.

Jinzhi Fang, Yuzhong Zhang, Ruifeng Li, Lanlan Liang, Juan Yu, Ziqi Hu, Lingling Zhou, Renwei Liu

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Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 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

8 authors.

Jinzhi FangDepartment of Radiology, Affiliated Longhua People's Hospital, Southern Medical University (Longhua People's Hospital), Shenzhen, China.
Yuzhong ZhangDepartment of Radiology, Affiliated Longhua People's Hospital, Southern Medical University (Longhua People's Hospital), Shenzhen, China.
Ruifeng LiDepartment of Radiology, Affiliated Longhua People's Hospital, Southern Medical University (Longhua People's Hospital), Shenzhen, China.
Lanlan LiangClinical Medical College of Dali University, Dali, China.
Juan YuDepartment of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
Ziqi HuDepartment of Radiology, Affiliated Longhua People's Hospital, Southern Medical University (Longhua People's Hospital), Shenzhen, China.
Lingling ZhouDepartment of Radiology, Affiliated Longhua People's Hospital, Southern Medical University (Longhua People's Hospital), Shenzhen, China.
Renwei LiuDepartment of Radiology, Affiliated Longhua People's Hospital, Southern Medical University (Longhua People's Hospital), Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the utility of apparent diffusion coefficient (ADC) values for differentiating breast tumors. Methods: The medical records of 17 patients with phyllodes tumor [PT; circular regions of interest (ROI-cs) n = 171], 74 patients with fibroadenomas (FAs; ROI-cs, n = 94), and 57 patients with breast cancers (BCs; ROI-cs, n = 104) confirmed by surgical pathology were retrospectively reviewed. Results: There were significant differences between PTs, FAs, and BCs in ADCmean, ADCmax, and ADCmin values. The cutoff ADCmean for differentiating PTs from FAs was 1.435 × 10 Conclusion: DWI provides quantitative information that can help distinguish breast tumors.

Indexed as

apparent diffusion coefficient (ADC)breast tumorsdiffusion-weighted image (DWI)magnetic resonance imaging (MRI)phyllodes tumorsvalue

Identifiers

PMID36937381
PMCPMC10018141

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