Evidence map›Paper›PMID 39507984›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2024

[Ultrasound Multimodality Examination Improves the Diagnostic Efficiency of Non-Mass-Like Breast Lesions].

Huiyan Wang, Longying Lu, Heqing Zhang, Xue Wan, Yushuang He, Honghao Luo, Yulan Peng, Lin Ma, Haina Zhao

Abstract readEnglish Abstract
PubMed Full text at PMC Publisher
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2024. 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
–field-weighted citation impact
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.

  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

9 authors.

Huiyan Wang（ 610041） Department of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.
Longying Lu（ 610041） Department of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.
Heqing Zhang（ 610041） Department of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.
Xue Wan（ 610041） Department of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.
Yushuang He（ 610041） Department of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.
Honghao Luo（ 610041） Department of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.
Yulan Peng（ 610041） Department of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.
Lin Ma（ 610041） Department of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.
Haina Zhao（ 610041） Department of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study is focused on ultrasound multimodality examination, which refers to the combined use of three ultrasound examination modalities, ultrasound (US), acoustic radiation force impulse (ARFI) imaging, and contrast-enhanced ultrasound (CEUS). The purpose of this study is to analyze the value of applying ultrasound multimodality examination in the differential diagnosis of benign and malignant breast non-mass-like lesions (NMLs). Methods: Cases of breast NMLs were analyzed retrospectively, and the nature of all the lesions was verified by pathological examination. Based on the gray-scale ultrasound image characteristics, the cases were classified into types Ⅰ to Ⅴ, and type Ⅰ and type Ⅱ were further classified into 4 subtypes, Ⅰa, Ⅰb, Ⅱa, and Ⅱb, according to whether there was also calcification, and the proportion of malignant cases in each subtype was statistically analyzed. Logistic regression models of US, US+ARFI, US+CEUS, and US+ARFI+CEUS for the diagnosis of malignant cases were established, ROC curves were drawn, the area under the curve (AUC) was calculated, and comparisons were made accordingly. The detection rate of malignant NMLs without calcification (atypical malignant NMLs) by the combination examination of US, ARFI, and CEUS was analyzed. Results: A total of 407 cases were included in the study. All subjects were female, aged 22 to 81 years, with the average age being (47.0±11.0) years. There were 220 benign cases and 187 malignant cases. Ranked from the highest to the lowest, the malignancy proportion of the different types was Ⅰb>Ⅱb>Ⅲ>Ⅴ>Ⅰa>Ⅱa>Ⅳ. The malignant proportion of the low echo area with calcification was significantly higher than that of the lesions without calcification. The AUC (95% confidence interval [CI]) for diagnosing malignant cases with the logistic regression models of US, US+ARFI, US+CEUS, and US+ARFI+CEUS were 0.895 (0.862-0.927), 0.908 (0.878-0.937), 0.921 (0.893-0.948), and 0.927 (0.902-0.952), respectively. Comparison of the AUC of the 4 regression models showed significant differences ( Conclusion: Breast NMLs with calcification show high risks of malignancy, and a pathological examination is always recommended for a conclusive diagnosis. Ultrasound multimodality examination can improve the diagnostic accuracy of breast NML without calcification.

Indexed as

Breast NeoplasmsMultimodal ImagingAdultAgedBreastBreast DiseasesCalcinosisContrast MediaDiagnosis, DifferentialElasticity Imaging TechniquesFemaleHumansMiddle AgedRetrospective StudiesROC CurveUltrasonographyContrast MediaAcoustic radiation force impulseBreast lesionsContrast-enhanced ultrasoundNon-mass-likeUltrasound

Identifiers

PMID39507984
PMCPMC11536232

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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.