Detection of Breast Lesions by Automatic Breast US

Ultrasonography Clinical Trial

Official title:

Detection of Breast Lesions by Automatic Breast US (Comparison to Current Hand Held US and Pathological Findings When Exist).

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT03047122
• Other study ID #: 0089-16ASMC
• Status: Recruiting
• Phase: N/A
• First received: February 7, 2017
• Last updated: March 20, 2017
• Start date: March 1, 2017
• Est. completion date: December 31, 2018

Study information

• Verified date: March 2017
• Source: Assuta Medical Center
• Contact: Michal Guindy, MD
• Phone: +972-50-8800102
• Email: micahlgu[@]assuta.co.il
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

Mammography is considered the standard imaging method for breast cancer screening, and is known to result in reduced mortality from breast cancer. However, the diagnostic yield of mammography depends particularly on breast tissue density, with sensitivity as low as 30-48% in dense-breast women. Ultrasound is an attractive adjunct imaging method to mammography as it is widely accessible, relatively inexpensive and well-tolerated by patients. The addition of hand-held ultrasound to mammography has been demonstrated to significantly increase breast cancer detection in women with dense breasts. It is however dependent on the expertise and skill of the operator.

In recent years, the FDA has approved the use of the automated breast ultrasound (ABUS) for use in screening of women with dense breast. Unlike handheld ultrasound, the ABUS is relatively simple to use, necessitating less technical training, and results in higher reproducibility.

The research aim is to evaluation of automated breast ultrasound (ABUS) regarding the detection and classification of breast lesions, compared to hand-held ultrasound, according to the American College of Radiology Breast Imaging-Reporting and Data System (BI-RADS) classification. The investigator will also evaluate parameters regarding patients' comfort, workflow, and duration of image interpretation.

Description:

ABUS produces a 3D volume acquisition using a 6-15 Mega Herz reverse curve transducer. Images are digitally reformatted on a dedicated workstation to produce axial, sagittal and coronal reformatted images. Unlike handheld ultrasound, the ABUS is relatively simple to use, necessitating less technical training, and results in higher reproducibility. Previous studies have shown that automated breast ultrasound is very well tolerated by patients can be useful in detection of solid and cystic lesions and in evaluating tumor extent preoperatively.

Automated breast ultrasound will be performed on the "Invenia ABUS" (Automated Breast Ultrasound System) designed for automated breast imaging by General Electric (GE) Healthcare. Images will be acquired using a 15 centimeter field-of-view reverse curve ultra-broadband transducer of 6-15 Mega Herz. Using mechanical compression assist, the transducer is placed on each breast and six volumes are acquired with six sweeps (right anterior-posterior, right lateral, right medial; left anterior-posterior, left lateral, left medial). Acquisition time expected 15 minutes per patient, approximately 30-40 second acquisition per volume.

ABUS examinations will be performed by the investigators institution's radiographers, with variable degrees of experience in performing hand-held breast ultrasound examinations (HHUS).

Reformatted images and volumes will be view on a designated workstation of 2 megapixel high resolution monitor, using customized hanging protocols, multi-slice 3D viewing and patented clinical algorithms. Interpretation of images will be done by our institution's breast imaging radiologists with more than 15 years of experience in performing and reading hand-held breast ultrasound studies.

Each breast will be assigned a final ABUS BI-RADS score according to the American College of Radiology classification ranging from 1 to 6. A discrepancy between the ABUS Breast Imaging-Reporting and Data System score and the hand-held ultrasound BI-RADS score (HHUS BI-RADS 1-2 & ABUS BI-RADS >2, or HHUS BI-RADS >3 & ABUS BI-RADS 1-2) will result in the referral of the woman to second-look hand-held ultrasound to determine the reason for the mismatch.

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 1200
• Est. completion date: December 31, 2018
• Est. primary completion date: December 31, 2017
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: Female
• Age group: 25 Years to 99 Years

Eligibility

Inclusion Criteria:

Women referred to hand-held screening ultrasound examination (BI-RADS=1/2). Women scheduled to undergo ultrasound-guided needle biopsy due to suspicious breast mass detected during hand-held ultrasound (BI-RADS>2).

Exclusion Criteria:

Women under 25 years.

Related Conditions & MeSH terms

• Breast
• Ultrasonography

Locations

Country	Name	City	State
Israel	Assuta Medical Centers	Tel Aviv

Sponsors (1)

Lead Sponsor	Collaborator
Assuta Medical Center

Country where clinical trial is conducted

Israel, 

References & Publications (11)

ACR BI-RADS Atlas 5th Edition, Breast Imaging Reporting and Data System 2013

Brem RF, Lenihan MJ, Lieberman J, Torrente J. Screening breast ultrasound: past, present, and future. AJR Am J Roentgenol. 2015 Feb;204(2):234-40. doi: 10.2214/AJR.13.12072. Review. — View Citation

Chang JM, Moon WK, Cho N, Park JS, Kim SJ. Breast cancers initially detected by hand-held ultrasound: detection performance of radiologists using automated breast ultrasound data. Acta Radiol. 2011 Feb 1;52(1):8-14. doi: 10.1258/ar.2010.100179. — View Citation

Drukker K, Horsch KJ, Pesce LL, Giger ML. Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts. Acad Radiol. 2013 Jul;20(7):847-53. doi: 10.1016/j.acra.2013.02.007. — View Citation

Kelly KM, Dean J, Comulada WS, Lee SJ. Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts. Eur Radiol. 2010 Mar;20(3):734-42. doi: 10.1007/s00330-009-1588-y. — View Citation

Lander MR, Tabár L. Automated 3-D breast ultrasound as a promising adjunctive screening tool for examining dense breast tissue. Semin Roentgenol. 2011 Oct;46(4):302-8. doi: 10.1053/j.ro.2011.06.003. Review. — View Citation

Prosch H, Halbwachs C, Strobl C, Reisner LM, Hondl M, Weber M, Mostbeck GH. [Automated breast ultrasound vs. handheld ultrasound: BI-RADS classification, duration of the examination and patient comfort]. Ultraschall Med. 2011 Oct;32(5):504-10. doi: 10.1055/s-0031-1273414. German. — View Citation

Skaane P, Gullien R, Eben EB, Sandhaug M, Schulz-Wendtland R, Stoeblen F. Interpretation of automated breast ultrasound (ABUS) with and without knowledge of mammography: a reader performance study. Acta Radiol. 2015 Apr;56(4):404-12. doi: 10.1177/0284185114528835. — View Citation

Tozaki M, Fukuma E. Accuracy of determining preoperative cancer extent measured by automated breast ultrasonography. Jpn J Radiol. 2010 Dec;28(10):771-3. doi: 10.1007/s11604-010-0499-9. — View Citation

Wenkel E, Heckmann M, Heinrich M, Schwab SA, Uder M, Schulz-Wendtland R, Bautz WA, Janka R. Automated breast ultrasound: lesion detection and BI-RADS classification--a pilot study. Rofo. 2008 Sep;180(9):804-8. doi: 10.1055/s-2008-1027563. — View Citation

Zintsmaster BS, Morrison J, Sharman S, Shah BA. Differences in pain perceptions between automated breast ultrasound and digital screening mammography. J Diag Med Sonography 2013;29(2):62-65.

* Note: There are 11 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	ability to identify all US breast findings correctly.	The investigators will compare all lesions detected by abus and hand held US to pathology when present .	6 month