Evidence map›Paper›PMID 37168367›Full record

ArticleFrontiers in oncology2023

Comparison of ultrasound-based ADNEX model with magnetic resonance imaging for discriminating adnexal masses: a multi-center study.

Yanli Hu, Bo Chen, Hongmei Dong, Bo Sheng, Zhibo Xiao, Jia Li, Wei Tian, Furong Lv

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Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

8 authors.

Yanli HuDepartment of Ultrasonography, Chongqing Health Center for Women and Children, Chongqing, China.
Bo ChenDepartment of Ultrasonography, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hongmei DongDepartment of Ultrasonography, Chongqing Health Center for Women and Children, Chongqing, China.
Bo ShengDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhibo XiaoDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jia LiDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Wei TianDepartment of Radiology, Women and Children's Hospital of Chongqing Medical University, Chongqing, China.
Furong LvDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The ADNEX model offered a good diagnostic performance for discriminating adnexal tumors, but research comparing the abilities of the ADNEX model and MRI for characterizing adnexal tumors has not been reported to our knowledge. The aim of this study was to evaluate the diagnostic accuracy of the ultrasound-based ADNEX (Assessment of Different NEoplasias in the adneXa) model in comparison with that of magnetic resonance imaging (MRI) for differentiating benign, borderline and malignant adnexal masses. Methods: This prospective study included 529 women with adnexal masses who underwent assessment Results: Among the 529 women, 92 (17.4%) masses were diagnosed histologically as malignant tumors, 67 (12.7%) as borderline tumors, and 370 (69.9%) as benign tumors. For the diagnosis of malignancy, including borderline tumors, overall agreement between the ADNEX model and MRI pre-operation was 84.9%. The sensitivity of the ADNEX model of 0.91 (95% confidence interval [CI]: 0.85-0.95) was similar to that of MRI (0.89, 95% CI: 0.84-0.94; Conclusion: The ultrasound-based ADNEX model demonstrated excellent diagnostic performance for adnexal tumors, especially borderline tumors, compared with MRI. Accordingly, we recommend that the ADNEX model, alone or with subjective MRI assessment, should be used for pre-operative assessment of adnexal masses.

Indexed as

adnexadnexal massmagnetic resonance imagingovarian cancerultrasound

Identifiers

PMID37168367
PMCPMC10165107

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