Evidence map›Paper›PMID 39822365›Full record

ArticleGland surgery2024

Prediction of axillary nodal burden using preoperative magnetic resonance imaging scoring in patients with clinically node-negative breast cancer: a retrospective cohort study.

Nathanan Wangjitraluck, Somchanin Pipatpajong

Abstract read
In one paragraph

Article in Gland surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Nathanan WangjitraluckDepartment of Radiology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Somchanin PipatpajongDepartment of Radiology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-8249-4600

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Axillary lymph node metastasis (ALNM) is a significant predictor of overall patient survival; thus, precise evaluation of ALNM is essential for staging breast cancer, informing multimodal treatment strategies, and ensuring optimal patient care. This study aimed to establish a magnetic resonance imaging (MRI) scoring system for predicting extensive axillary nodal metastasis in patients with clinically node-negative breast cancer derived from preoperative breast and axillary MRI. Methods: This study included 226 patients with clinically node-negative breast cancer who underwent preoperative breast and axillary MRI between January 1, 2010 and December 31, 2020 at King Chulalongkorn Memorial Hospital. Their clinical, radiological, and pathological features were retrospectively reviewed. MRI characteristics of breast tumors and axillary lymph nodes (LNs) were assessed. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Cohen's Kappa coefficient of the scoring system were evaluated. The receiver operating characteristic curve was used to determine the cutoff value for the MRI scoring system to differentiate extensive ALNM from nonextensive ALNM. Results: Of the 226 patients, 144 had cancer-free axilla, 51 had 1-2 positive metastatic LNs, and 31 had ≥3 positive metastatic LNs. Moreover, only 60 could be evaluated for the apparent diffusion coefficient (ADC) value of LNs because of size limitations. The cutoff value for the MRI scoring system with ADC was 14 (NPV =87.1% with moderately acceptable discrimination), and the cutoff value without ADC was 8 (sensitivity =77.4%; specificity =81%; PPV =39.3%; NPV =95.8% with moderately acceptable discrimination). Conclusions: The MRI scoring system using breast and axillary LN characteristics from preoperative MRI may help predict extensive ALNM and aid axillary nodal treatment selection.

Indexed as

axillary nodal burdenAxillary nodal metastasesbreast cancerdiffusion-weighted imaging (DWI)magnetic resonance imaging (MRI)

Identifiers

PMID39822365
PMCPMC11733638

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