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A Prospective Comparative Evaluation of Handheld Ultrasound Examination (HHUS) or Automated Ultrasound Examination (ABVS) in Women with Dense Breast

Mammography is the gold standard examination for breast cancer screening. In women with high breast density, mammography has reduced sensitivity. In these women, an additional screening option is often recommended. This study prospectively compared ABVS and HHUS in women with mammography-negative ex...

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Autores principales: Brunetti, Nicole, De Giorgis, Sara, Tosto, Simona, Garlaschi, Alessandro, Rescinito, Giuseppe, Massa, Barbara, Calabrese, Massimo, Tagliafico, Alberto Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497758/
https://www.ncbi.nlm.nih.gov/pubmed/36140571
http://dx.doi.org/10.3390/diagnostics12092170
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author Brunetti, Nicole
De Giorgis, Sara
Tosto, Simona
Garlaschi, Alessandro
Rescinito, Giuseppe
Massa, Barbara
Calabrese, Massimo
Tagliafico, Alberto Stefano
author_facet Brunetti, Nicole
De Giorgis, Sara
Tosto, Simona
Garlaschi, Alessandro
Rescinito, Giuseppe
Massa, Barbara
Calabrese, Massimo
Tagliafico, Alberto Stefano
author_sort Brunetti, Nicole
collection PubMed
description Mammography is the gold standard examination for breast cancer screening. In women with high breast density, mammography has reduced sensitivity. In these women, an additional screening option is often recommended. This study prospectively compared ABVS and HHUS in women with mammography-negative examinations and dense breasts. Materials and methods: N = 222 women were evaluated prospectively and consecutively between January 2019 and June 2019 (average age 53 years; range 39–89). McNemar’s test and ROC analysis were used with standard statistical software. We included in the study both symptomatic and asymptomatic women with dense breasts. Women included underwent both HHUS and ABVS after mammography with independent reading. Results: N = 33/222 (15%) women resulted in having breast cancer. Both ABVS and HHUS identified more cancers than standard mammography, and both HHUS and ABVS had false-positive examinations: n = 13 for HHUS and n = 12 for ABVS. We found that HHUS had better accuracy than ABVS. The AUC of the ROC was 0.788 (95% CI 0.687–0.890) for ABVS and 0.930 (95% CI 0.868–0.993) for HHUS. This difference was statistically significant (p < 0.05). Conclusions: HHUS was more accurate in breast cancer detection than ABVS. Multicentric studies must confirm these data for supplemental imaging in women with dense breasts.
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spelling pubmed-94977582022-09-23 A Prospective Comparative Evaluation of Handheld Ultrasound Examination (HHUS) or Automated Ultrasound Examination (ABVS) in Women with Dense Breast Brunetti, Nicole De Giorgis, Sara Tosto, Simona Garlaschi, Alessandro Rescinito, Giuseppe Massa, Barbara Calabrese, Massimo Tagliafico, Alberto Stefano Diagnostics (Basel) Article Mammography is the gold standard examination for breast cancer screening. In women with high breast density, mammography has reduced sensitivity. In these women, an additional screening option is often recommended. This study prospectively compared ABVS and HHUS in women with mammography-negative examinations and dense breasts. Materials and methods: N = 222 women were evaluated prospectively and consecutively between January 2019 and June 2019 (average age 53 years; range 39–89). McNemar’s test and ROC analysis were used with standard statistical software. We included in the study both symptomatic and asymptomatic women with dense breasts. Women included underwent both HHUS and ABVS after mammography with independent reading. Results: N = 33/222 (15%) women resulted in having breast cancer. Both ABVS and HHUS identified more cancers than standard mammography, and both HHUS and ABVS had false-positive examinations: n = 13 for HHUS and n = 12 for ABVS. We found that HHUS had better accuracy than ABVS. The AUC of the ROC was 0.788 (95% CI 0.687–0.890) for ABVS and 0.930 (95% CI 0.868–0.993) for HHUS. This difference was statistically significant (p < 0.05). Conclusions: HHUS was more accurate in breast cancer detection than ABVS. Multicentric studies must confirm these data for supplemental imaging in women with dense breasts. MDPI 2022-09-08 /pmc/articles/PMC9497758/ /pubmed/36140571 http://dx.doi.org/10.3390/diagnostics12092170 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Brunetti, Nicole
De Giorgis, Sara
Tosto, Simona
Garlaschi, Alessandro
Rescinito, Giuseppe
Massa, Barbara
Calabrese, Massimo
Tagliafico, Alberto Stefano
A Prospective Comparative Evaluation of Handheld Ultrasound Examination (HHUS) or Automated Ultrasound Examination (ABVS) in Women with Dense Breast
title A Prospective Comparative Evaluation of Handheld Ultrasound Examination (HHUS) or Automated Ultrasound Examination (ABVS) in Women with Dense Breast
title_full A Prospective Comparative Evaluation of Handheld Ultrasound Examination (HHUS) or Automated Ultrasound Examination (ABVS) in Women with Dense Breast
title_fullStr A Prospective Comparative Evaluation of Handheld Ultrasound Examination (HHUS) or Automated Ultrasound Examination (ABVS) in Women with Dense Breast
title_full_unstemmed A Prospective Comparative Evaluation of Handheld Ultrasound Examination (HHUS) or Automated Ultrasound Examination (ABVS) in Women with Dense Breast
title_short A Prospective Comparative Evaluation of Handheld Ultrasound Examination (HHUS) or Automated Ultrasound Examination (ABVS) in Women with Dense Breast
title_sort prospective comparative evaluation of handheld ultrasound examination (hhus) or automated ultrasound examination (abvs) in women with dense breast
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497758/
https://www.ncbi.nlm.nih.gov/pubmed/36140571
http://dx.doi.org/10.3390/diagnostics12092170
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