Evidence map›Paper›PMID 38334760›Full record

SynthesisEuropean radiology2024

Association of peritumoral region features assessed on breast MRI and prognosis of breast cancer: a systematic review and meta-analysis.

Siqi Zhao, Yuanfei Li, Ning Ning, Hongbing Liang, Yueqi Wu, Qi Wu, Zhuo Wang, Jiahe Tian, Jie Yang, Xue Gao and 3 more

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  5. Breast Imaging Reporting and Data System v2025: Key Updates in MRI.Journal of the Korean Society of Radiology · 2026
    Review
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  16. Multi-parametric MRI radiomics predicts different HER2 expression in breast cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    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

13 authors at 1 institution in 1 country.

Siqi ZhaoDepartment of Radiology, First Affiliated Hospital of Dalian Medical University, No 222 Zhongshan Road, Xigang District, Dalian, Liaoning, 116011, People's Republic of China.
Yuanfei LiDepartment of Radiology, First Affiliated Hospital of Dalian Medical University, No 222 Zhongshan Road, Xigang District, Dalian, Liaoning, 116011, People's Republic of China.
Ning NingDepartment of Radiology, First Affiliated Hospital of Dalian Medical University, No 222 Zhongshan Road, Xigang District, Dalian, Liaoning, 116011, People's Republic of China.
Hongbing LiangDepartment of Radiology, First Affiliated Hospital of Dalian Medical University, No 222 Zhongshan Road, Xigang District, Dalian, Liaoning, 116011, People's Republic of China.
Yueqi WuDepartment of Radiology, First Affiliated Hospital of Dalian Medical University, No 222 Zhongshan Road, Xigang District, Dalian, Liaoning, 116011, People's Republic of China.
Qi WuDepartment of Radiology, First Affiliated Hospital of Dalian Medical University, No 222 Zhongshan Road, Xigang District, Dalian, Liaoning, 116011, People's Republic of China.
Zhuo WangDepartment of Radiology, First Affiliated Hospital of Dalian Medical University, No 222 Zhongshan Road, Xigang District, Dalian, Liaoning, 116011, People's Republic of China.
Jiahe TianZhongshan College of Dalian Medical University, No28 Aixian Road, Gaoxin District, Dalian, Liaoning, 116085, People's Republic of China.
Jie YangSchool of Public Health, Dalian Medical University, Dalian, Liaoning Province, No. 9W. Lvshun South Road, Dalian, 116044, People's Republic of China.
Xue GaoDepartment of Pathology, First Affiliated Hospital of Dalian Medical University, 222 Zhongshan Road, Dalian, Liaoning, 116011, People's Republic of China.
Ailian LiuDepartment of Radiology, First Affiliated Hospital of Dalian Medical University, No 222 Zhongshan Road, Xigang District, Dalian, Liaoning, 116011, People's Republic of China.
Qingwei SongDepartment of Radiology, First Affiliated Hospital of Dalian Medical University, No 222 Zhongshan Road, Xigang District, Dalian, Liaoning, 116011, People's Republic of China.
Lina ZhangDepartment of Radiology, First Affiliated Hospital of Dalian Medical University, No 222 Zhongshan Road, Xigang District, Dalian, Liaoning, 116011, People's Republic of China. zln201045@163.com.ORCID http://orcid.org/0000-0003-2242-9249
Dalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing attention has been given to the peritumoral region. However, conflicting findings have been reported regarding the relationship between peritumoral region features on MRI and the prognosis of breast cancer. PURPOSE: To evaluate the relationship between peritumoral region features on MRI and prognosis of breast cancer. MATERIALS AND

methodsA retrospective meta-analysis of observational studies comparing either qualitative or quantitative assessments of peritumoral MRI features on breast cancer with poor prognosis and control subjects was performed for studies published till October 2022. Pooled odds ratios (ORs) or standardized mean differences and 95% confidence intervals (CIs) were estimated by using random-effects models. The heterogeneity across the studies was measured using the statistic I

resultsTwenty-four studies comprising 1853 breast cancers of poor prognosis and 2590 control participants were included in the analysis. Peritumoral edema was associated with non-luminal breast cancers (OR=3.56; 95%CI: 2.17, 5.83; p=.000), high expression of the Ki-67 index (OR=3.70; 95%CI: 2.41, 5.70; p =.000), high histological grade (OR=5.85; 95%CI: 3.89, 8.80; p=.000), lymph node metastasis (OR=2.83; 95%CI: 1.71, 4.67; p=.000), negative expression of HR (OR=3.15; 95%CI: 2.03, 4.88; p=.000), and lymphovascular invasion (OR=1.72; 95%CI: 1.28, 2.30; p=.000). The adjacent vessel sign was associated with greater odds of breast cancer with poor prognosis (OR=2.02; 95%CI: 1.68, 2.44; p=.000). Additionally, breast cancers with poor prognosis had higher peritumor-tumor ADC ratio (SMD=0.67; 95%CI: 0.54, 0.79; p=.000) and peritumoral ADCmean (SMD=0.29; 95%CI: 0.15, 0.42; p=.000). A peritumoral region of 2-20 mm away from the margin of the tumor is recommended.

conclusionThe presence of peritumoral edema and adjacent vessel signs, higher peritumor-tumor ADC ratio, and peritumoral ADCmean were significantly correlated with poor prognosis of breast cancer. CLINICAL RELEVANCE STATEMENT: MRI features of the peritumoral region can be used as a non-invasive index for the prognostic evaluation of invasive breast cancer. KEY POINTS: • Peritumoral edema was positively associated with non-luminal breast cancer, high expression of the Ki-67 index, high histological grade, lymph node metastasis, negative expression of HR, and lymphovascular invasion. • The adjacent vessel sign was associated with greater odds of breast cancers with poor prognosis. • Breast cancers with poor prognosis had higher peritumor-tumor ADC ratio and peritumoral ADCmean.

Indexed as

Breast NeoplasmsMagnetic Resonance ImagingBreastFemaleHumansLymphatic MetastasisPrognosisApparent diffusion coefficient (ADC)Breast cancerDiffusionMRIPeritumoral region

Identifiers

PMID38334760
OpenAlexW4391686825

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.