Evidence map›Paper›PMID 34786104›Full record

ArticleAmerican journal of translational research2021

Combined diagnosis of ultrasonic elastography and BI-RADS classification increases diagnostic value in female patients with breast neoplasms.

Hong'e Li, Chen Cheng, Yan Wang, Haocheng Qin, Jing Wang, Shuqin Zhang, Rong Teng, Ming Yu, Na Li

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Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

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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

3 citing papers in PubMed, 7 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

9 authors at 3 institutions in 1 country.

Hong'e LiDepartment of Ultrasound, The First People's Hospital of Lianyungang Lianyungang 222061, Jiangsu, China.
Chen ChengDepartment of Ultrasound, Lianyungang Traditional Chinese Medicine Hospital Lianyungang 222004, China.
Yan WangDepartment of Ultrasound, The First People's Hospital of Lianyungang Lianyungang 222061, Jiangsu, China.
Haocheng QinDepartment of Ultrasound, The First People's Hospital of Lianyungang Lianyungang 222061, Jiangsu, China.
Jing WangDepartment of Ultrasound, The First People's Hospital of Lianyungang Lianyungang 222061, Jiangsu, China.
Shuqin ZhangDepartment of Ultrasound, The First People's Hospital of Lianyungang Lianyungang 222061, Jiangsu, China.
Rong TengDepartment of Ultrasound, The First People's Hospital of Lianyungang Lianyungang 222061, Jiangsu, China.
Ming YuDepartment of Ultrasound, The First People's Hospital of Lianyungang Lianyungang 222061, Jiangsu, China.
Na LiDepartment of Ultrasound, Wuxi People's Hospital Affiliated to Nanjing Medical University Wuxi 214023, Jiangsu, China.
The First People’s Hospital of Lianyungang · CNLianyungang Oriental Hospital · CNWuxi People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study was designed to investigate the clinical value of ultrasonic elastography combined with the Breast Imaging Reporting and Data System (BI-RADS) classification in patients with breast neoplasms.

methodsA retrospective observational study was conducted on 89 patients with breast neoplasms hospitalized from June 2017 to June 2018. All the enrolled patients had received ultrasound examinations. The diagnostic value of ultrasonic elastography, BI-RADS classification, and the combined diagnosis for breast neoplasms was analyzed.

resultsThe postoperative pathological examination showed 51 cases of benign lesions and 38 cases of malignant lesions among the 89 cases. The detection of the focal zone revealed 75 benign and 44 malignant lesions. Ultrasonic elastography misdiagnosed 8 malignant lesions as benign and 17 benign lesions as malignant; BI-RADS classification misdiagnosed 7 malignant lesions as benign and 15 benign lesions as malignant; The combined diagnosis misdiagnosed 2 malignant lesions as benign and 4 benign lesions as malignant. The sensitivity of the combined diagnosis was higher than that of ultrasonic elastography (P<0.05). The specificity and positive- and negative predictive values of the combined diagnosis were all higher than those of ultrasonic elastography and BI-RADS classification (all P<0.05).

conclusionUltrasonic elastography combined with BI-RADS classification has high clinical application value in the diagnosis of breast neoplasms, especially the sensitivity to benign and malignant lesions. And compared with the mono-detection of either ultrasonic elastography or BI-RADS classification, the combined detection yields significantly higher diagnostic accuracy.

Indexed as

benign and malignant lesionsBI-RADS classificationBreast neoplasmsultrasonic elastography

Identifiers

PMID34786104
PMCPMC8581871
OpenAlexW3212315769

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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.