Evidence map›Paper›PMID 31969959›Full record

ArticlePolish journal of radiology2019

Performance of breast magnetic resonance imaging in axillary nodal staging in newly diagnosed breast cancer patients.

Jatuporn Chayakulkheeree, Dirapit Pungrassami, Jenjeera Prueksadee

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Polish journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06001528 (Serum and Tissue Metabolite-based Prediction of Sentinel Lymph Node Metastasis in Breast Cancer), which is not on this map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
0.6field-weighted citation impact, top 38% 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.

NCT06001528 recruitingnot on this mapstarted 2021, after this paper: background citation

Serum and Tissue Metabolite-based Prediction of Sentinel Lymph Node Metastasis in Breast Cancer

TypeobservationalSponsorShantou Central HospitalRan2021 to 2026Enrolled2,400ConditionsBreast Cancer, Lymph Node Metastasis
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Deep learning-based breast MRI for predicting axillary lymph node metastasis: a systematic review and meta-analysis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    Pooled it
  4. Article
  5. Review
  6. Article
  7. Comparison of nodal staging between CT, MRI, and [European journal of nuclear medicine and molecular imaging · 2022
    Article
  8. Diagnostic Value of Axillary Ultrasound, MRI, andEuropean journal of breast health · 2022
    Article
  9. 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

3 authors at 1 institution in 1 country.

Jatuporn ChayakulkheereeDivision of Diagnostic Radiology, Department of Radiology, Faculty of Medicine Chulalongkorn University, Thailand.
Dirapit PungrassamiDivision of Diagnostic Radiology, Department of Radiology, Faculty of Medicine Chulalongkorn University, Thailand.
Jenjeera PrueksadeeDivision of Diagnostic Radiology, Department of Radiology, Faculty of Medicine Chulalongkorn University, Thailand.
Chulalongkorn University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the diagnostic value of breast magnetic resonance imaging (MRI) in detecting axillary metastatic node in newly diagnosed breast cancer, we assessed the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of breast MRI. MATERIAL AND

methodsData were collected retrospectively from January 2011 to December 2018. Preoperative breast MRI of women with newly diagnosed breast cancer were reviewed to evaluate the axillary nodal staging by using the morphological characteristic of metastatic axillary lymph node. Statistical analysis was performed to assess the performance of breast MRI in diagnosing metastatic axillary lymph nodes based on the pathological result.

resultsA total of 131 women with breast cancer were analysed. Two hundred and twenty-seven axillary lymph nodes from preoperative breast MRIs were considered to be metastasis. 65.65% (86 patients) of the breast MRI results matched with the pathological results: 37 patients with N0 stage, 39 patients with N1 stage, eight patients with N2 stage, and two patients with N3 stage. Sensitivity of breast MRI for axillary nodal staging was 98.5% (95% CI: 92-100%), and the negative predictive value was 96.4% (86.2-99.9%). Specificity of breast MRI for axillary nodal staging was 57.8% (44.8-70.1%) and the positive predictive value was 71% (60.6-79.9%).

conclusionsOur study showed that the breast MRI had a high sensitivity (98.5%) and high NPV (96.4%) in detecting metastatic axillary lymph nodes, but its specificity was only fair (57.8%). Overestimation and underestimation of the MRI in N staging were also found in 20.61% and 12.98% of cases, respectively.

Indexed as

axillabreast cancerbreast MRIlymph nodesmagnetic resonance imagingmetastasis

Identifiers

PMID31969959
PMCPMC6964355
OpenAlexW2992041082

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.