Evidence map›Paper›PMID 31067075›Full record

ArticleThe British journal of radiology2019

Superb microvascular imaging is a rational choice for accurate Bosniak classification of renal cystic masses.

Jie Mu, Yiran Mao, Fangxuan Li, Xiaojie Xin, Sheng Zhang

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

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  14. Assessments of microvascular function in organ systems.American journal of physiology. Heart and circulatory physiology · 2022
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  20. Diagnostic Value of Superb Microvascular Imaging in Parotid Tumors.Medical science monitor : international medical journal of experimental and clinical research · 2020
    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

5 authors at 2 institutions in 1 country.

Jie Mu1 Department of Ultrasound, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer, China; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer , China.
Yiran Mao1 Department of Ultrasound, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer, China; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer , China.
Fangxuan Li2 Department of Cancer Prevention Center, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer, China; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer , China.
Xiaojie Xin1 Department of Ultrasound, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer, China; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer , China.
Sheng Zhang1 Department of Ultrasound, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer, China; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Tianjin's Clinical Research Center for Cancer , China.
National Clinical Research Center for Digestive Diseases · CNTianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBosniak classification system provides a fine imaging evaluation for the malignant cystic renal masses. Superb microvascular imaging (SMI) is a new ultrasonic technique which apply advanced clutter suppression to reflect microflow information. The aim of this study was to evaluate the performance of ultrasound Bosniak classification aided by SMI in diagnosis of cystic renal masses.

methodsBy comparing with contrast-enhanced ultrasound (CEUS) and pathology, we evaluated the sensitivity, specificity and accuracy of conventional ultrasound and SMI combination in the diagnosis of renal cystic masses.

resultsColor Doppler Flow image (CDFI) and SMI had significant difference in evaluation the blood flow and Bosniak classification for cystic renal mass of IIf, III and IV (

conclusionSMI can display better in observing blood flow in septa and solid structures of renal cystic lesions compared with CDFI, thus, it can perform more accurate Bosniak classification for renal cystic mass. SMI and CEUS are consistent in Bosniak classification. Bosniak classification aided by SMI maybe an accurate non-invasive ultrasonic examination in distinguishing benign and malignant renal cystic lesions. ADVANCES IN KNOWLEDGE: Conventional ultrasound had limited ability to distinguish malignance in Bosniak classifications IIf and III. SMI can display better in observing blood flow in septa and solid structures of renal cystic lesions compared with CDFI.

Indexed as

AdultAgedDiagnosis, DifferentialFemaleFollow-Up StudiesHumansImage Interpretation, Computer-AssistedKidneyKidney Diseases, CysticMaleMicrovesselsMiddle AgedReproducibility of ResultsSensitivity and SpecificityUltrasonography

Identifiers

PMID31067075
PMCPMC6636258
OpenAlexW2944633208

What OpenQuestion holds

Textmetadata
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.