Evidence map›Paper›PMID 32607630›Full record

ArticleEuropean radiology2020

Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study.

Ning Mao, Ping Yin, Qin Li, Qinglin Wang, Meijie Liu, Heng Ma, Jianjun Dong, Kaili Che, Zhongyi Wang, Shaofeng Duan and 3 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 61 citations in OpenAlex.

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  15. Prediction of axillary lymph node metastasis using a magnetic resonance imaging radiomics model of invasive breast cancer primary tumor.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
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  19. State-of-the-art for contrast-enhanced mammography.The British journal of radiology · 2024
    Review
  20. Hype or hope? A review of challenges in balancing tumor control and treatment toxicity in breast cancer from the perspective of the radiation oncologist.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
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 3 institutions in 1 country.

Ning MaoDepartment of Radiology, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, No. 20 Yuhuangding East Street, Yantai, 264000, Shandong, People's Republic of China.
Ping YinDepartment of Radiology, Peking University People's Hospital, No. 11 Xizhimen South Street, Beijing, 100044, People's Republic of China.
Qin LiDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, 200000, People's Republic of China.
Qinglin WangDepartment of Radiology, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, No. 20 Yuhuangding East Street, Yantai, 264000, Shandong, People's Republic of China.
Meijie LiuDepartment of Radiology, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, No. 20 Yuhuangding East Street, Yantai, 264000, Shandong, People's Republic of China.
Heng MaDepartment of Radiology, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, No. 20 Yuhuangding East Street, Yantai, 264000, Shandong, People's Republic of China.
Jianjun DongDepartment of Radiology, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, No. 20 Yuhuangding East Street, Yantai, 264000, Shandong, People's Republic of China.
Kaili CheDepartment of Radiology, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, No. 20 Yuhuangding East Street, Yantai, 264000, Shandong, People's Republic of China.
Zhongyi WangDepartment of Radiology, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, No. 20 Yuhuangding East Street, Yantai, 264000, Shandong, People's Republic of China.
Shaofeng DuanGE Healthcare, Shanghai, 200000, People's Republic of China.
Xuexi ZhangGE Healthcare, Shanghai, 200000, People's Republic of China.
Nan HongDepartment of Radiology, Peking University People's Hospital, No. 11 Xizhimen South Street, Beijing, 100044, People's Republic of China. hongnan@bjmu.edu.cn.
Haizhu XieDepartment of Radiology, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, No. 20 Yuhuangding East Street, Yantai, 264000, Shandong, People's Republic of China. xhz000417@sina.com.ORCID http://orcid.org/0000-0002-5962-3558
Qingdao University · CNPeking University · CNUnited Imaging Healthcare (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to establish and validate a radiomics nomogram based on contrast-enhanced spectral mammography (CESM) for prediction of axillary lymph node (ALN) metastasis in breast cancer.

methodsThis retrospective study included 394 patients with breast cancer who underwent CESM examination in two hospitals. The least absolute shrinkage and selection operator (LASSO) logistic regression was established for feature selection and utilized to construct radiomics signature. The nomogram model included the radiomics signature and independent clinical factors. The receiver operating characteristic (ROC) curves were used to confirm the performance of the nomogram in training and validation sets.

resultsThe nomogram model, which includes the radiomics signature and the CESM-reported lymph node status, has areas under the ROC curves of 0.774 (95% confidence interval (CI) 0.689-0.858), 0.767 (95% CI 0.583-0.857), and 0.79 (95% CI 0.63-0.94) in the training, internal validation, and external validation sets, respectively. We identified the cutoff score in the radiomics nomogram as - 1.49, which corresponded to a total point of 49 that could diagnose ALN metastasis with a sensitivity of > 95%.

conclusionsThe CESM-based radiomics nomogram is a noninvasive predictive tool that shows good application prospects in the preoperative prediction of ALN metastasis in breast cancer. KEY POINTS: • The CESM-based radiomics nomogram shows good performance in predicting ALN metastasis in breast cancer. • The application of radiomics nomogram in this study provides a new approach for establishing a prediction model with multiple characteristics. • The nomogram has good application prospects in assisting clinical decision makers.

Indexed as

Breast NeoplasmsNomogramsHumansLymphatic MetastasisMammographyRetrospective StudiesBreast cancerLymphatic metastasisMammographyNomogramRadiomics

Identifiers

PMID32607630
OpenAlexW3040065991

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.