NCT06123819

Brief Summary

The purpose of this study is to determine the relationship of the SWE elastic modulus and the molecular types of breast cancer .

Trial Health

35
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
60

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Nov 2023

Typical duration for all trials

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

October 25, 2023

Completed
7 days until next milestone

Study Start

First participant enrolled

November 1, 2023

Completed
8 days until next milestone

First Posted

Study publicly available on registry

November 9, 2023

Completed
2 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 1, 2025

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2025

Completed
Last Updated

November 9, 2023

Status Verified

November 1, 2023

Enrollment Period

2 years

First QC Date

October 25, 2023

Last Update Submit

November 3, 2023

Conditions

Outcome Measures

Primary Outcomes (1)

  • Changes in the tumor stiffness values on SWE were significantly associated with aggressive histopathologic features of breast cancer.

    We analyze 545 consecutive women (mean age, 52.7 ± 10.7 years; range, 26-83) with breast cancer who underwent preoperative breast ultrasound with SWE parameters (Emax, Emean, and Eratio) and the histopathologic information from surgical specimens including histologic type, histologic grade, size of invasive cancer, hormone receptor and HER2 status, Ki-67 proliferation index, and axillary LN status were analyzed. The relationships between SWE parameters and histopathologic findings were analyzed using an independent sample t-test, one-way ANOVA test with Tukey's post hoc test, andlogistic regression analyses.

    baseline

Interventions

. First, strain elastography (it is based upon the fact that hard tissue is more difficulty compressed than soft tissue. SE is a technique that measures the tissue deformation generated by compression, which may be applied with a probe on the body surface for static imaging) will be performed. The elastogram image of the detected lesion, will be evaluated Using color coding ranging from blue, through green and red. All lesions will be scored on elastogram in terms of their Stiffness compared to normal parenchyma. Second, shear wave elastography (is a method to generate shear waves and measure SWV ,based on the principle of fast propagation of shear wave speed in hard tissue and slow propagation in soft tissue , the hardness of tissue is indirectly reflected by measuring shear wave speed ) , will also be calculated individually.

Eligibility Criteria

Age18 Years - 75 Years
Sexfemale
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Based on determining the main outcome variable ,the estimated minimum required sample size is 60 patients. The sample size was calculated using Epi-info version 7 software, based on the following assumptions: Main outcome variable is correlate various pattern of non mass lesions with histopathology for further management. Based on previos accuracy is 81%. Based on this percentage confidence limits of 6% and a confidence level=80%.

You may qualify if:

  • Women who were diagnosed with invasive breast cancer and did not receive neoadjuvant treatment and who previously did not have an operation on the same breast or axillary fossa .

You may not qualify if:

  • Women who were diagnosed with non-invasive breast cancer and who receive neoadjuvant treatment and who previously had an operation on the same breast or axillary fossa .
  • patients who expressed their oppositionto the use of their personal data.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (2)

  • Gweon HM, Youk JH, Son EJ, Kim JA. Clinical application of qualitative assessment for breast masses in shear-wave elastography. Eur J Radiol. 2013 Nov;82(11):e680-5. doi: 10.1016/j.ejrad.2013.08.004. Epub 2013 Aug 14.

    PMID: 23988689BACKGROUND
  • Yoon JH, Ko KH, Jung HK, Lee JT. Qualitative pattern classification of shear wave elastography for breast masses: how it correlates to quantitative measurements. Eur J Radiol. 2013 Dec;82(12):2199-204. doi: 10.1016/j.ejrad.2013.08.047. Epub 2013 Sep 3.

    PMID: 24041435BACKGROUND

MeSH Terms

Conditions

Breast Neoplasms

Interventions

Elasticity Imaging Techniques

Condition Hierarchy (Ancestors)

Neoplasms by SiteNeoplasmsBreast DiseasesSkin DiseasesSkin and Connective Tissue Diseases

Intervention Hierarchy (Ancestors)

UltrasonographyDiagnostic ImagingDiagnostic Techniques and ProceduresDiagnosis

Study Officials

  • sherin ezzat

    Assiut University

    STUDY DIRECTOR

Central Study Contacts

Walaa G Abdelnasser

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
doctor

Study Record Dates

First Submitted

October 25, 2023

First Posted

November 9, 2023

Study Start

November 1, 2023

Primary Completion

November 1, 2025

Study Completion

December 1, 2025

Last Updated

November 9, 2023

Record last verified: 2023-11