Evidence map›Paper›PMID 38066441›Full record

ArticleBMC medical imaging2023

Value of inversion imaging to diagnosis in differentiating malignant from benign breast masses.

Na Li, Zhongguang Hou, Jiajia Wang, Yu Bi, Xiabi Wu, Yunyun Zhan, Mei Peng

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2023. 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
0.8field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

7 authors at 2 institutions in 1 country.

Na Li *Department of Ultrasound, The Second Affiliated Hospital of Anhui Medical University, Economic and Technological Development Zone, No.678, Furong Road, Hefei, Anhui, China.
Zhongguang Hou *Department of Ultrasound, The Second Affiliated Hospital of Anhui Medical University, Economic and Technological Development Zone, No.678, Furong Road, Hefei, Anhui, China.
Jiajia WangDepartment of Ultrasound, The Second Affiliated Hospital of Anhui Medical University, Economic and Technological Development Zone, No.678, Furong Road, Hefei, Anhui, China.
Yu BiDepartment of Ultrasound, The Second Affiliated Hospital of Anhui Medical University, Economic and Technological Development Zone, No.678, Furong Road, Hefei, Anhui, China.
Xiabi WuDepartment of Ultrasound, The Second Affiliated Hospital of Anhui Medical University, Economic and Technological Development Zone, No.678, Furong Road, Hefei, Anhui, China.
Yunyun ZhanDepartment of Ultrasound, The Second Affiliated Hospital of Anhui Medical University, Economic and Technological Development Zone, No.678, Furong Road, Hefei, Anhui, China. yunyunzhan024@163.com.
Mei PengDepartment of Ultrasound, The Second Affiliated Hospital of Anhui Medical University, Economic and Technological Development Zone, No.678, Furong Road, Hefei, Anhui, China. 13955125956@163.com.
Second Hospital of Anhui Medical University · CNAnhui Medical University · CN

Funding

Natural Science Foundation of Anhui Province, China 2023AH040373The Clinical Research Cultivation Program of the Second Affiliated Hospital of Anhui Medical University 2021LCZD06
6 · The paper itself

Abstract

backgroundWe aimed to evaluate the added value of inversion imaging in differentiating between benign and malignant breast masses when combined with the Breast Imaging Reporting and Data System (BI-RADS).

methodsA total of 364 patients with 367 breast masses (151 benign and 216 malignant) who underwent conventional ultrasound and inversion imaging prior to breast surgery were included. A 5-point inversion score (IS) scale was proposed based on the masses' internal echogenicity and distribution characteristics in the inversion images. The combination of IS and BI-RADS was compared with BI-RADS alone to evaluate the value of inversion imaging for breast mass diagnosis. The diagnostic performance of the BI-RADS and its combination with IS for breast masses were analyzed using area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).

resultsThe IS for malignant breast masses (3.96 ± 0.77) was significantly higher than benign masses (2.58 ± 0.98) (P < 0.001). The sensitivity, specificity, accuracy, PPV, and NPV of BI-RADS were 86.1%, 81.5%, 84.2%, 86.9%, and 80.4%, respectively, and an AUC was 0.909. By compared with BI-RADS, 72 breast masses were downgraded from suspected malignancy to benign, and 6 masses were upgraded from benign to suspected malignancy. Thus, the specificity was increased from 81.5 to 84.8%, it allows 72 benign masses avoid biopsy.

conclusionThe combination of inversion imaging with BI-RADS can effectively improve the diagnostic efficacy of breast masses, and inversion imaging could help benign masses avoid biopsy.

Indexed as

Breast NeoplasmsNeoplasmsBreastFemaleHumansPredictive Value of TestsSensitivity and SpecificityUltrasonographyUltrasonography, MammaryBreast imaging reporting and Data SystemBreast massesDiagnosisInversion imagingUltrasound

Identifiers

PMID38066441
PMCPMC10709938
OpenAlexW4389478222

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.