Evidence map›Paper›PMID 38512615›Full record

ArticleLa Radiologia medica2024

Diagnostic accuracy of qualitative and quantitative magnetic resonance imaging-guided contrast-enhanced ultrasound (MRI-guided CEUS) for the detection of prostate cancer: a prospective and multicenter study.

Yunyun Liu, Dianyuan Lu, Guang Xu, Shuai Wang, Bangguo Zhou, Ying Zhang, Beibei Ye, Lihua Xiang, Yifeng Zhang, Huixiong Xu

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 5 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

10 authors at 3 institutions in 1 country.

Yunyun LiuDepartment of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, School of Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 200072, China.
Dianyuan LuDepartment of Ultrasound, Chongming Hospital Affiliated to Shanghai University of Health & Medicine Sciences, Shanghai, China.
Guang XuDepartment of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, School of Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 200072, China.
Shuai WangDepartment of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, School of Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 200072, China.
Bangguo ZhouDepartment of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, School of Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 200072, China.
Ying ZhangDepartment of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, School of Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 200072, China.
Beibei YeDepartment of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, School of Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 200072, China.
Lihua XiangDepartment of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, School of Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 200072, China. xianglihua1121@163.com.
Yifeng ZhangDepartment of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, School of Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 200072, China. zhangyifeng2023@qq.com.ORCID http://orcid.org/0000-0003-0789-322X
Huixiong XuDepartment of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
Tongji University · CNFudan University · CNShanghai University of Medicine and Health Sciences · CN

Funding

National Natural Science Foundation of China 82171942National Natural Science Foundation of China 82202153National Natural Science Foundation of China 82202154National Natural Science Foundation of China 82371971
6 · The paper itself

Abstract

purposeTo evaluate the diagnostic value of MRI-guided contrast-enhanced ultrasound (CEUS) for prostate cancer (PCa) diagnosis, and characteristics of PCa in qualitative and quantitative CEUS. MATERIAL AND

methodsThis prospective and multicenter study included 250 patients (133 in the training cohort, 57 in the validation cohort and 60 in the test cohort) who underwent MRI, MRI-guided CEUS and prostate biopsy between March 2021 and February 2023. MRI interpretation, qualitative and quantitative CEUS analysis were conducted. Multitree extreme gradient boosting (XGBoost) machine learning-based models were applied to select the eight most important quantitative parameters. Univariate and multivariate logistic regression models were constructed to select independent predictors of PCa. Diagnostic value was determined for MRI, qualitative and quantitative CEUS using the area under receiver operating characteristic curve (AUC).

resultsThe performance of quantitative CEUS was superior to that of the qualitative CEUS and MRI in predicting PCa. The AUC was 0.779 (95%CI 0.70-0.849), 0.756 (95%CI 0.638-0.874) and 0.759 (95%CI 0.638-0.879) of qualitative CEUS, and 0.885 (95%CI 0.831-0.940), 0.802 (95%CI 0.684-0.919) and 0.824 (95%CI 0.713-0.936) of quantitative CEUS in training, validation and test cohort, respectively. Compared with quantitative CEUS, MRI achieved less well performance for AUC 0.811 (95%CI 0.741-0.882, p = 0.099), 0.748 (95%CI 0.628-0.868, p = 0.539) and 0.737 (95%CI 0.602-0.873, p = 0.029), respectively. Moreover, the highest specificity of 80.6% was obtained by quantitative CEUS.

conclusionWe developed a reliable method of MRI-guided CEUS that demonstrated enhanced performance compared to MRI. The qualitative and quantitative CEUS characteristics will contribute to improved diagnosis of PCa.

Indexed as

Prostatic NeoplasmsContrast MediaHumansMagnetic Resonance ImagingMaleProspective StudiesProstateUltrasonographyContrast MediaBiopsyContrast-enhanced ultrasoundMagnetic resonance imagingProstate cancer

Identifiers

PMID38512615
OpenAlexW4393041536

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Registered trials

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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.