Evidence map›Paper›PMID 39246563›Full record

ArticleJournal of multidisciplinary healthcare2024

Predicting Non-Mass Breast Cancer Utilizing Ultrasound and Molybdenum Target X-Ray Characteristics.

Zhuoran Wang, Xufeng Cao, Chunmei Jia, Na Mi, Tingting Li, Jingjie Wang, Ruiqi Fan, Jiayu Quan

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 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

8 authors.

Zhuoran WangSchool of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Xufeng CaoThe Seventh Medical Center of the Chinese People's Liberation, Army General Hospital, Beijing, People's Republic of China.
Chunmei JiaSchool of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Na MiSchool of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Tingting LiSchool of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Jingjie WangSchool of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Ruiqi FanSchool of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.
Jiayu QuanSchool of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study is to investigate the influence of ultrasound and molybdenum target X-ray characteristics in predicting non-mass breast cancer. Methods: A retrospective analysis was conducted on the clinical data of 185 patients presenting with non-mass breast lesions between September 2019 and 2021. The non-mass lesions were categorized into benign and malignant types based on ultrasonographic findings, which included lamellar hypoechoic, ductal alteration, microcalcification, and structural disorder types. Furthermore, an examination was undertaken to discern variances in molybdenum target X-ray parameters, ultrasonographic manifestations, and characteristics among individuals diagnosed with non-mass breast lesions. Results: The ultrasonographic depiction of microcalcified lesions and the identification of suspicious malignancy through molybdenum target X-ray evaluation exhibited independent associations with non-mass breast cancer, yielding statistically significant differences ( Conclusion: Using both ultrasound and molybdenum target X-ray diagnostics can increase the accuracy of non-mass breast cancer detection. The findings of this study have the potential to augment the detection rate of non-lumpy breast cancer and provide an imaging basis for enhancing the prognosis of individuals with breast cancer.

Indexed as

correlationlogistic regressionMolybdenum targeted X-raynon-mass typeultrasonographic manifestations

Identifiers

PMID39246563
PMCPMC11378988

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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.