Evidence map›Paper›PMID 35111628›Full record

ArticleQuantitative imaging in medicine and surgery2022

Prediction of high nodal burden in invasive breast cancer by quantitative shear wave elastography.

Bo Li, Xin Zhao, Qiucheng Wang, Hui Jing, Hua Shao, Lei Zhang, Wen Cheng

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% 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, 14 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

7 authors at 2 institutions in 1 country.

Bo LiDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, China.
Xin ZhaoDepartment of Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Qiucheng WangDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, China.
Hui JingDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, China.
Hua ShaoDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, China.
Lei ZhangDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, China.
Wen ChengDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, China.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAxillary imaging has been earmarked to forecast high nodal burden [≥3 metastatic axillary lymph nodes (ALN)] instead of lymph node metastasis since the Z0011 trial period. We aimed to ascertain the possibility of utilising quantitative shear wave elastography (SWE) to forecast high nodal burden in invasive breast cancer (IBC).

methodsIn our hospital, 324 patients with clinical T1-T2N0 IBC who underwent surgery from June 2020 to October 2020 were analyzed retrospectively. A total of 273 patients (84.3%) were categorized as having a limited nodal burden, while 51 patients (15.7%) had a high nodal burden. The two groups were compared in terms of clinicopathological traits, ultrasonic features, and SWE values. The diagnostic performance for prediction of high nodal burden with the optimal cutoff values was drawn by SWE value.

resultsThe optimal cutoff values for forecasting high nodal burden were as demonstrated: 119.52 kPa for tumor Emax, 97.31 kPa for tumor Emean, 19.38 for tumor Esd, 26.22 kPa for ALN Emax, 19.79 kPa for ALN Emean, 2.32 for ALN Eratio, 3.34 for ALN Esd. Combined with the ratings of sensitivity and specificity, ALN Emax could be chosen as the optimal index if the best diagnostic achievement was contemplated (AUC: 0.856; 95% CI: 0.802-0.909).

conclusionsAn Emax cutoff 26.22 kPa of ALN, 72% of women with a high nodal burden of axillary disease would be detected, but if used for clinical decision making, 13% of women with a limited nodal burden disease would be potentially over treated. This data can allow us to appropriately ascertain this subgroup and can be used as one of the therapeutic implementation resources for patient decision support.

Indexed as

High nodal burdeninvasive breast cancer (IBC)limited nodal burdenshear wave elastography (SWE)

Identifiers

PMID35111628
PMCPMC8739152
OpenAlexW3214544516

What OpenQuestion holds

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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.