Evidence map›Paper›PMID 38365653›Full record

ArticleBMC cancer2024

Using a combination of superb microvascular imaging and other auxiliary ultrasound techniques to increase the accuracy of gray-scale ultrasound for breast masses.

Mahboubeh Abedi, Leyla Sahebi, Bita Eslami, Azin Saberi, Marzieh Orouji, Sadaf Alipour, Shirin Shahsavarhaghighi

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 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
2.0field-weighted citation impact, top 15% 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

7 authors at 3 institutions in 2 countries.

Mahboubeh AbediRadiology Fellow, Ballarat Base Hospital, Ballarat, VIC, Australia.
Leyla SahebiMaternal, Fetal and Neonatal Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Bita EslamiBreast Diseases Research Center, Cancer Institute, Tehran University of Medical Sciences, Imam Khomeini Hospital Complex, Keshavarz Blvd., Tehran, Iran.
Azin SaberiDepartment of Surgery, Arash Women's Hospital, Faculty of Medicine,Tehran University of Medical Sciences, Tehran, Iran.
Marzieh OroujiDepartment of Nursing, Arash Women's Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Sadaf AlipourBreast Diseases Research Center, Cancer Institute, Tehran University of Medical Sciences, Imam Khomeini Hospital Complex, Keshavarz Blvd., Tehran, Iran. sadafalipour@yahoo.com.ORCID http://orcid.org/0000-0002-7451-4077
Shirin ShahsavarhaghighiBreast Diseases Research Center, Cancer Institute, Tehran University of Medical Sciences, Imam Khomeini Hospital Complex, Keshavarz Blvd., Tehran, Iran.
Imam Khomeini Hospital · IRTehran University of Medical Sciences · IRBallarat Health Services · AU

Funding

the Deputy of Research of Tehran University of medical Sciences 99-2-259-49971
6 · The paper itself

Abstract

backgroundBreast ultrasound is highly sensitive, but its specificity is not as high for detecting malignant lesions. Auxiliary modalities like elastography, Color and Power Doppler ultrasound are used as adjuncts to yield both a high sensitivity and specificity. Superb microvascular imaging (SMI) is a newer modality with more accuracy for detecting breast lesions. In this study, our goal was to investigate the role of SMI as an adjunct to ultrasound and find a suitable combination model for the evaluation of breast masses.

methodsIn this cross-sectional study, 132 women with 172 breast masses who underwent ultrasound-guided biopsy were included.. The ultrasound features of the lesion, the strain ratio in strain elastography, the number of vessels for each lesion, their morphology and distribution in Doppler and Power Doppler ultrasound and SMI were recorded for each lesion. A vascular score and a vascular ratio were defined.

resultsIn the histologic examination, 31 lesions (18%) were malignant and 141 lesions (82%) were benign. The vascular score was more accurate than the vascular ratio in all three modalities. The predictive ability of strain ratio was higher than Doppler and Power Doppler ultrasound and SMI. Adding SMI alone to ultrasound increased the specificity from 46.10% to 61.2% and the accuracy from 55.80% to 70.11%. In the combination of ultrasound with other modalities, the best was the combination of ultrasound, strain elastography, and SMI; which yielded a specificity and sensitivity of 100% and 74.4%, respectively.

conclusionAdding SMI and STE modalities as adjuncts to ultrasound lowers the chance of missing malignant lesions and reduces unnecessary biopsies of breast lesions. A study with a larger sample size using this combination model to evaluate the accuracy with greater precision is recommended.

Indexed as

Breast NeoplasmsElasticity Imaging TechniquesCross-Sectional StudiesDiagnosis, DifferentialFemaleHumansImage-Guided BiopsyMicrovesselsSensitivity and SpecificityUltrasonographyUltrasonography, DopplerBreast ImagingBreast NeoplasmDiagnostic ImagingDoppler UltrasoundElastographyVascular flow

Identifiers

PMID38365653
PMCPMC10873956
OpenAlexW4391884810

What OpenQuestion holds

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LicenceCC BY
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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.