Evidence map›Paper›PMID 36303839›Full record

ArticleFrontiers in oncology2022

Evaluation of the differentiation of benign and malignant breast lesions using synthetic relaxometry and the Kaiser score.

Lingsong Meng, Xin Zhao, Jinxia Guo, Lin Lu, Meiying Cheng, Qingna Xing, Honglei Shang, Kaiyu Wang, Bohao Zhang, Dongmei Lei and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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.
Jinxia GuoGeneral Electric (GE) Healthcare, MR Research China, Beijing, China.
Lin LuDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Meiying ChengDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qingna XingDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Honglei ShangDepartment of Radiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Kaiyu WangGeneral Electric (GE) Healthcare, MR Research China, Beijing, China.
Bohao ZhangHenan Key Laboratory of Child Brain Injury, Institute of Neuroscience and the Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Dongmei LeiDepartment of Pathology, 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 · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate whether there is added value of quantitative parameters from synthetic magnetic resonance imaging (SyMRI) as a complement to the Kaiser score (KS) to differentiate benign and malignant breast lesions. Materials and methods: In this single-institution study, 122 patients who underwent breast MRI from March 2020 to May 2021 were retrospectively analyzed. SyMRI and dynamic contrast-enhanced MRI were performed using a 3.0-T system. Two experienced radiologists independently assigned the KS and measured the quantitative values of T1 relaxation time (T1), T2 relaxation time (T2), and proton density (PD) from SyMRI. Pathology was regarded as the gold standard. The diagnostic values were compared using the appropriate statistical tests. Results: There were 122 lesions (86 malignant and 36 benign) in 122 women. The T1 value was identified as the only independent factor for the differentiation of malignant and benign lesions. The diagnostic accuracy of incorporating the T1 into the KS protocol (T1+KS) was 95.1% and 92.1% for all lesions (ALL) and The American College of Radiology (ACR) Breast Imaging Reporting and Data System (BI-RADS) category 4 lesions, respectively, which was significantly higher than that of either T1 (ALL: 82.8%, Conclusions: Incorporating T1 into the KS protocol improved both the sensitivity and specificity to differentiate benign and malignant breast lesions, thus avoiding unnecessary invasive procedures.

Indexed as

BI-RADS, Breast Imaging Reporting and Data Systembreast lesionKaiser scoremalignancySynthetic MRI

Identifiers

PMID36303839
PMCPMC9595598
OpenAlexW4304175649

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.