Identification of Benign and Malignant Breast Nodules Using Ultrasound-modulated Optical Tomography: A Multicenter Study

NCT ID: NCT06468566

Last Updated: 2024-06-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

2000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-02-01

Study Completion Date

2026-02-28

Brief Summary

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Ultrasonic light scattering imaging is a new functional imaging technology that combines traditional B-mode ultrasound imaging and light scattering tomography (DOT). It can improve the accuracy of early diagnosis of breast cancer based on the characteristics of abnormal blood supply and oxygen consumption of lesions. This study aims to evaluate the value of ultrasonic light scattering imaging in the differential diagnosis of benign and malignant breast nodules, and to evaluate the consistency between ultrasonic light scattering imaging and examiners in the differential diagnosis of benign and malignant breast nodules.

Detailed Description

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Breast cancer is the most common malignant tumor in women and the second leading cause of cancer death worldwide. Therefore, early detection and timely treatment of breast cancer are of great significance to controlling and reducing breast cancer mortality. Breast ultrasound has been widely used in the detection of breast cancer, but ultrasound is highly dependent on the examiner in terms of technology, and the examination results are greatly affected by the examiner's subjectivity, which increases unnecessary surgery and punctures, causing great trouble to clinicians and patients. Moreover, the value of conventional ultrasound in the differential diagnosis of breast masses is still limited, while the emergence of new technologies such as artificial intelligence and elastic imaging has improved the accuracy of ultrasound diagnosis to varying degrees.

The recently developed ultrasound light scattering imaging technology is used in breast ultrasound imaging systems to assist in morphological analysis based on the description and final evaluation of the Breast Imaging Reporting and Data System (BI-RADS), providing a new way to distinguish benign and malignant breast nodules.

Ultrasonic light scattering imaging technology is a new functional imaging technology that integrates traditional B-type ultrasound imaging and light scattering tomography (DOT). It uses B-type ultrasound to locate lesions and uses DOT to measure the concentrations of total hemoglobin, oxygenated hemoglobin and deoxygenated hemoglobin in diseased tissues based on the differences in the absorption rates of light of specific wavelengths in different tissues. It also measures the neovascularization at the tumor site and its potential local hypoxia stimulation. It introduces additional physiological information to current breast screening methods, often before morphological abnormalities. It can improve the accuracy of early diagnosis of breast cancer based on the characteristics of abnormal blood supply and oxygen consumption in lesions.

Conditions

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Breast Cancer Female

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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Whether to use ultrasound light scattering imaging equipment

Ultrasound light scattering imaging equipment

Intervention Type DIAGNOSTIC_TEST

Radiologists use ultrasound light scattering imaging to evaluate the benign and malignant nature of breast nodules

Conventional ultrasound

No interventions assigned to this group

Device Assistant physician

Ultrasound light scattering imaging equipment

Intervention Type DIAGNOSTIC_TEST

Radiologists use ultrasound light scattering imaging to evaluate the benign and malignant nature of breast nodules

Interventions

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Ultrasound light scattering imaging equipment

Radiologists use ultrasound light scattering imaging to evaluate the benign and malignant nature of breast nodules

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

Had breast lesions detected by ultrasound Age 18 or older Upcoming FNAB or surgery Signing informed consent

Exclusion Criteria

Patients who had received a biopsy of breast lesion before the ultrasound examination Can not cooperate with the test operation Patients who were pregnant or lactating Patients who were undergoing neoadjuvant treatment.
Minimum Eligible Age

18 Years

Maximum Eligible Age

85 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

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Hubei Cancer Hospital

OTHER

Sponsor Role collaborator

Guangxi National Hospital

UNKNOWN

Sponsor Role collaborator

First Affiliated Hospital of Kunming Medical University

OTHER

Sponsor Role collaborator

Xin-Wu Cui

OTHER

Sponsor Role lead

Responsible Party

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Xin-Wu Cui

Professor

Responsibility Role SPONSOR_INVESTIGATOR

Locations

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Xin-Wu Cui

Wuhan, Hubei, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Xiao-Feng Zhang, PhD

Role: CONTACT

18778035342

Facility Contacts

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Xin-Wu Cui, PhD,MD

Role: primary

15927103161

References

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Huang Y, Cua M, Brake J, Liu Y, Yang C. Investigating ultrasound-light interaction in scattering media. J Biomed Opt. 2020 Feb;25(2):1-12. doi: 10.1117/1.JBO.25.2.025002.

Reference Type BACKGROUND
PMID: 32103649 (View on PubMed)

Di Sciacca G, Maffeis G, Farina A, Dalla Mora A, Pifferi A, Taroni P, Arridge S. Evaluation of a pipeline for simulation, reconstruction, and classification in ultrasound-aided diffuse optical tomography of breast tumors. J Biomed Opt. 2022 Mar;27(3):036003. doi: 10.1117/1.JBO.27.3.036003.

Reference Type BACKGROUND
PMID: 35332743 (View on PubMed)

Zhu Q, Ricci A Jr, Hegde P, Kane M, Cronin E, Merkulov A, Xu Y, Tavakoli B, Tannenbaum S. Assessment of Functional Differences in Malignant and Benign Breast Lesions and Improvement of Diagnostic Accuracy by Using US-guided Diffuse Optical Tomography in Conjunction with Conventional US. Radiology. 2016 Aug;280(2):387-97. doi: 10.1148/radiol.2016151097. Epub 2016 Mar 2.

Reference Type BACKGROUND
PMID: 26937708 (View on PubMed)

Other Identifiers

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2024(S044)

Identifier Type: -

Identifier Source: org_study_id

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