Evidence map›Paper›PMID 34926290›Full record

ArticleFrontiers in oncology2021

A Comparative Assessment of MR BI-RADS 4 Breast Lesions With Kaiser Score and Apparent Diffusion Coefficient Value.

Lingsong Meng, Xin Zhao, Lin Lu, Qingna Xing, Kaiyu Wang, Yafei Guo, Honglei Shang, Yan Chen, Mengyue Huang, Yongbing Sun and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Lingsong MengDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xin ZhaoDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Lin LuDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qingna XingDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Kaiyu WangMagnetic Resonance (MR) Research China, General Electric (GE) Healthcare, Beijing, China.
Yafei GuoDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Honglei ShangDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yan ChenDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Mengyue HuangDepartment of Magnetic Resonance Imaging (MRI), The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yongbing SunDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaoan ZhangDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Third Affiliated Hospital of Zhengzhou University · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the diagnostic performance of the Kaiser score and apparent diffusion coefficient (ADC) to differentiate Breast Imaging Reporting and Data System (BI-RADS) Category 4 lesions at dynamic contrast-enhanced (DCE) MRI.

methodsThis was a single-institution retrospective study of patients who underwent breast MRI from March 2020 to June 2021. All image data were acquired with a 3-T MRI system. Kaiser score of each lesion was assigned by an experienced breast radiologist. Kaiser score+ was determined by combining ADC and Kaiser score. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of Kaiser score+, Kaiser score, and ADC. The area under the curve (AUC) values were calculated and compared by using the Delong test. The differences in sensitivity and specificity between different indicators were determined by the McNemar test.

resultsThe study involved 243 women (mean age, 43.1 years; age range, 18-67 years) with 268 MR BI-RADS 4 lesions. Overall diagnostic performance for Kaiser score (AUC, 0.902) was significantly higher than for ADC (AUC, 0.81;

conclusionFor MR BI-RADS category 4 breast lesions, the Kaiser score was superior to ADC mapping regarding the potential to avoid unnecessary biopsies. However, the combination of both indicators did not significantly contribute to breast cancer diagnosis of this subgroup.

Indexed as

apparent diffusion coefficientBI-RADSbreast cancerKaiser scorespecificity

Identifiers

PMID34926290
PMCPMC8675081
OpenAlexW3216320240

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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.