Ultrasound visibility of select breast biopsy markers for targeted axillary node localization following neoadjuvant treatment: simulation using animal tissue models
Publication type: Journal Article
Publication date: 2020-08-08
scimago Q1
wos Q2
SJR: 1.351
CiteScore: 6.1
Impact factor: 3.0
ISSN: 01676806, 15737217
PubMed ID:
32770455
Cancer Research
Oncology
Abstract
To compare ultrasound visibility of selected biopsy markers in animal tissue models simulating axillary echotexture. Four breast biopsy markers were selected based on size, shape, and composition and compared to an institutional standard for testing in beef steak and pork loin phantoms. BD® UltraCor™ Twirl™; Hologic® Tumark® Professional series Q, Vision, and X; and BD® UltraClip™ Dual Trigger wing-shaped (institutional standard) biopsy markers were deployed at superficial (0–2.0 cm) and deep (2.1–4.0 cm) depths in the animal models. An animal model without a biopsy marker served as control. Four participating breast imagers blinded to marker shape and location assessed ultrasound visibility of each biopsy marker using a handheld 5–12 MHz linear array transducer with a 4-point grading system (0, not visible; 1, unsure if visible; 2, visible with difficulty; 3, definite visibility). Each breast imager was asked to select the three most easily visualized biopsy markers. Total visibility scores with the four-point grading system demonstrate highest score for the Twirl™ (48/48 points), followed by the Tumark® Q (42/48) and Tumark® Vision (41/48) biopsy markers. Overall individual accuracy scores across all biopsy marker types ranged from 83.3 to 95.8%. Visibility scores based on subjective radiologist assessment also demonstrate the highest vote for the Twirl™ (11), followed by the Tumark® Vision (7) and Tumark® Q (6) biopsy markers. The wing-shaped biopsy marker had the lowest visibility and voter score. The Twirl™ followed by the Tumark® Q and Vision biopsy markers demonstrates the highest visibility scores using a four-point grading system and by radiologist vote.
Found
Nothing found, try to update filter.
Found
Nothing found, try to update filter.
Top-30
Journals
|
1
2
3
4
|
|
|
Ultrasound in Medicine and Biology
4 publications, 21.05%
|
|
|
American Journal of Roentgenology
1 publication, 5.26%
|
|
|
Breast Disease
1 publication, 5.26%
|
|
|
Radiographics
1 publication, 5.26%
|
|
|
Annals of Surgical Oncology
1 publication, 5.26%
|
|
|
Cancers
1 publication, 5.26%
|
|
|
Diagnostics
1 publication, 5.26%
|
|
|
European radiology experimental
1 publication, 5.26%
|
|
|
Current Problems in Surgery
1 publication, 5.26%
|
|
|
Journal of Surgical Research
1 publication, 5.26%
|
|
|
Radiology Case Reports
1 publication, 5.26%
|
|
|
Radiology Imaging Cancer
1 publication, 5.26%
|
|
|
Expert Review of Medical Devices
1 publication, 5.26%
|
|
|
Journal of Biomedical Optics
1 publication, 5.26%
|
|
|
Surgical Oncology Insight
1 publication, 5.26%
|
|
|
Indian Journal of Radiology and Imaging
1 publication, 5.26%
|
|
|
1
2
3
4
|
Publishers
|
1
2
3
4
5
6
7
8
|
|
|
Elsevier
8 publications, 42.11%
|
|
|
Radiological Society of North America (RSNA)
2 publications, 10.53%
|
|
|
Springer Nature
2 publications, 10.53%
|
|
|
MDPI
2 publications, 10.53%
|
|
|
American Roentgen Ray Society
1 publication, 5.26%
|
|
|
SAGE
1 publication, 5.26%
|
|
|
Taylor & Francis
1 publication, 5.26%
|
|
|
SPIE-Intl Soc Optical Eng
1 publication, 5.26%
|
|
|
Georg Thieme Verlag KG
1 publication, 5.26%
|
|
|
1
2
3
4
5
6
7
8
|
- We do not take into account publications without a DOI.
- Statistics recalculated weekly.
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
19
Total citations:
19
Citations from 2024:
6
(31.58%)
Cite this
GOST |
RIS |
BibTex |
MLA
Cite this
GOST
Copy
Portnow L. H. et al. Ultrasound visibility of select breast biopsy markers for targeted axillary node localization following neoadjuvant treatment: simulation using animal tissue models // Breast Cancer Research and Treatment. 2020. Vol. 184. No. 1. pp. 185-192.
GOST all authors (up to 50)
Copy
Portnow L. H., Kwak E., Senapati G. M., Kwait D. C., Denison C. M., Giess C. S. Ultrasound visibility of select breast biopsy markers for targeted axillary node localization following neoadjuvant treatment: simulation using animal tissue models // Breast Cancer Research and Treatment. 2020. Vol. 184. No. 1. pp. 185-192.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1007/s10549-020-05840-x
UR - https://doi.org/10.1007/s10549-020-05840-x
TI - Ultrasound visibility of select breast biopsy markers for targeted axillary node localization following neoadjuvant treatment: simulation using animal tissue models
T2 - Breast Cancer Research and Treatment
AU - Portnow, Leah H.
AU - Kwak, Ellie
AU - Senapati, Gunjan M
AU - Kwait, Dylan C.
AU - Denison, Christine M
AU - Giess, Catherine S
PY - 2020
DA - 2020/08/08
PB - Springer Nature
SP - 185-192
IS - 1
VL - 184
PMID - 32770455
SN - 0167-6806
SN - 1573-7217
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2020_Portnow,
author = {Leah H. Portnow and Ellie Kwak and Gunjan M Senapati and Dylan C. Kwait and Christine M Denison and Catherine S Giess},
title = {Ultrasound visibility of select breast biopsy markers for targeted axillary node localization following neoadjuvant treatment: simulation using animal tissue models},
journal = {Breast Cancer Research and Treatment},
year = {2020},
volume = {184},
publisher = {Springer Nature},
month = {aug},
url = {https://doi.org/10.1007/s10549-020-05840-x},
number = {1},
pages = {185--192},
doi = {10.1007/s10549-020-05840-x}
}
Cite this
MLA
Copy
Portnow, Leah H., et al. “Ultrasound visibility of select breast biopsy markers for targeted axillary node localization following neoadjuvant treatment: simulation using animal tissue models.” Breast Cancer Research and Treatment, vol. 184, no. 1, Aug. 2020, pp. 185-192. https://doi.org/10.1007/s10549-020-05840-x.