The added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts

Background Breast cancer is the most commonly diagnosed malignancy in women worldwide. Women with dense breast tend to have 15–25% lifetime risk of breast cancer due to decrease of mammographic sensitivity. Automated breast ultrasound (ABUS) is a new promising tool for detection of breast lesions ma...
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Autor*in:	Ali, Engy A. [verfasserIn] Ahmed, Alaa M. [verfasserIn] Elsaid, Noha A. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Dense breast Automated breast ultrasound

Übergeordnetes Werk:	Enthalten in: The Egyptian Journal of Radiology and Nuclear Medicine - Amsterdam [u.a.] : Elsevier, 2010, 51(2020), 1 vom: 27. Aug.
Übergeordnetes Werk:	volume:51 ; year:2020 ; number:1 ; day:27 ; month:08

Links:	Volltext

DOI / URN:	10.1186/s43055-020-00171-9

Katalog-ID:	SPR040774325

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520			\|a Background Breast cancer is the most commonly diagnosed malignancy in women worldwide. Women with dense breast tend to have 15–25% lifetime risk of breast cancer due to decrease of mammographic sensitivity. Automated breast ultrasound (ABUS) is a new promising tool for detection of breast lesions masked by dense glandular tissue at mammography. Results The sensitivity of digital mammography in detecting breast lesions was 60.7%, specificity 91.6%, PPV 85%, NPV 75%, and accuracy 78%. The sensitivity of ABUS in detecting breast lesions was 92.86%, specificity 77.78%, PPV 76.47%, NPV 93.33%, and accuracy 84.38%. The sensitivity of handheld ultrasound (HHUS) in detecting breast lesions was 89.29%, specificity 88.89%, PPV 86.21%, NPV 91.43%, and accuracy 89.06%. Conclusion The sensitivity of ABUS in detecting breast lesions was much higher than mammography in dense breast while the digital mammography (DM) had higher specificity. So, implementation of both DM and ABUS to get benefit of DM specificity as well as ABUS sensitivity were highly recommended.
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spelling	10.1186/s43055-020-00171-9 doi (DE-627)SPR040774325 (SPR)s43055-020-00171-9-e DE-627 ger DE-627 rakwb eng 610 ASE Ali, Engy A. verfasserin aut The added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Breast cancer is the most commonly diagnosed malignancy in women worldwide. Women with dense breast tend to have 15–25% lifetime risk of breast cancer due to decrease of mammographic sensitivity. Automated breast ultrasound (ABUS) is a new promising tool for detection of breast lesions masked by dense glandular tissue at mammography. Results The sensitivity of digital mammography in detecting breast lesions was 60.7%, specificity 91.6%, PPV 85%, NPV 75%, and accuracy 78%. The sensitivity of ABUS in detecting breast lesions was 92.86%, specificity 77.78%, PPV 76.47%, NPV 93.33%, and accuracy 84.38%. The sensitivity of handheld ultrasound (HHUS) in detecting breast lesions was 89.29%, specificity 88.89%, PPV 86.21%, NPV 91.43%, and accuracy 89.06%. Conclusion The sensitivity of ABUS in detecting breast lesions was much higher than mammography in dense breast while the digital mammography (DM) had higher specificity. So, implementation of both DM and ABUS to get benefit of DM specificity as well as ABUS sensitivity were highly recommended. Dense breast (dpeaa)DE-He213 Automated breast ultrasound (dpeaa)DE-He213 Ahmed, Alaa M. verfasserin aut Elsaid, Noha A. verfasserin aut Enthalten in The Egyptian Journal of Radiology and Nuclear Medicine Amsterdam [u.a.] : Elsevier, 2010 51(2020), 1 vom: 27. Aug. (DE-627)641391862 (DE-600)2583928-7 2090-4762 nnns volume:51 year:2020 number:1 day:27 month:08 https://dx.doi.org/10.1186/s43055-020-00171-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 51 2020 1 27 08
allfields_unstemmed	10.1186/s43055-020-00171-9 doi (DE-627)SPR040774325 (SPR)s43055-020-00171-9-e DE-627 ger DE-627 rakwb eng 610 ASE Ali, Engy A. verfasserin aut The added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Breast cancer is the most commonly diagnosed malignancy in women worldwide. Women with dense breast tend to have 15–25% lifetime risk of breast cancer due to decrease of mammographic sensitivity. Automated breast ultrasound (ABUS) is a new promising tool for detection of breast lesions masked by dense glandular tissue at mammography. Results The sensitivity of digital mammography in detecting breast lesions was 60.7%, specificity 91.6%, PPV 85%, NPV 75%, and accuracy 78%. The sensitivity of ABUS in detecting breast lesions was 92.86%, specificity 77.78%, PPV 76.47%, NPV 93.33%, and accuracy 84.38%. The sensitivity of handheld ultrasound (HHUS) in detecting breast lesions was 89.29%, specificity 88.89%, PPV 86.21%, NPV 91.43%, and accuracy 89.06%. Conclusion The sensitivity of ABUS in detecting breast lesions was much higher than mammography in dense breast while the digital mammography (DM) had higher specificity. So, implementation of both DM and ABUS to get benefit of DM specificity as well as ABUS sensitivity were highly recommended. Dense breast (dpeaa)DE-He213 Automated breast ultrasound (dpeaa)DE-He213 Ahmed, Alaa M. verfasserin aut Elsaid, Noha A. verfasserin aut Enthalten in The Egyptian Journal of Radiology and Nuclear Medicine Amsterdam [u.a.] : Elsevier, 2010 51(2020), 1 vom: 27. Aug. (DE-627)641391862 (DE-600)2583928-7 2090-4762 nnns volume:51 year:2020 number:1 day:27 month:08 https://dx.doi.org/10.1186/s43055-020-00171-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 51 2020 1 27 08
allfieldsGer	10.1186/s43055-020-00171-9 doi (DE-627)SPR040774325 (SPR)s43055-020-00171-9-e DE-627 ger DE-627 rakwb eng 610 ASE Ali, Engy A. verfasserin aut The added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Breast cancer is the most commonly diagnosed malignancy in women worldwide. Women with dense breast tend to have 15–25% lifetime risk of breast cancer due to decrease of mammographic sensitivity. Automated breast ultrasound (ABUS) is a new promising tool for detection of breast lesions masked by dense glandular tissue at mammography. Results The sensitivity of digital mammography in detecting breast lesions was 60.7%, specificity 91.6%, PPV 85%, NPV 75%, and accuracy 78%. The sensitivity of ABUS in detecting breast lesions was 92.86%, specificity 77.78%, PPV 76.47%, NPV 93.33%, and accuracy 84.38%. The sensitivity of handheld ultrasound (HHUS) in detecting breast lesions was 89.29%, specificity 88.89%, PPV 86.21%, NPV 91.43%, and accuracy 89.06%. Conclusion The sensitivity of ABUS in detecting breast lesions was much higher than mammography in dense breast while the digital mammography (DM) had higher specificity. So, implementation of both DM and ABUS to get benefit of DM specificity as well as ABUS sensitivity were highly recommended. Dense breast (dpeaa)DE-He213 Automated breast ultrasound (dpeaa)DE-He213 Ahmed, Alaa M. verfasserin aut Elsaid, Noha A. verfasserin aut Enthalten in The Egyptian Journal of Radiology and Nuclear Medicine Amsterdam [u.a.] : Elsevier, 2010 51(2020), 1 vom: 27. Aug. (DE-627)641391862 (DE-600)2583928-7 2090-4762 nnns volume:51 year:2020 number:1 day:27 month:08 https://dx.doi.org/10.1186/s43055-020-00171-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 51 2020 1 27 08
allfieldsSound	10.1186/s43055-020-00171-9 doi (DE-627)SPR040774325 (SPR)s43055-020-00171-9-e DE-627 ger DE-627 rakwb eng 610 ASE Ali, Engy A. verfasserin aut The added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Breast cancer is the most commonly diagnosed malignancy in women worldwide. Women with dense breast tend to have 15–25% lifetime risk of breast cancer due to decrease of mammographic sensitivity. Automated breast ultrasound (ABUS) is a new promising tool for detection of breast lesions masked by dense glandular tissue at mammography. Results The sensitivity of digital mammography in detecting breast lesions was 60.7%, specificity 91.6%, PPV 85%, NPV 75%, and accuracy 78%. The sensitivity of ABUS in detecting breast lesions was 92.86%, specificity 77.78%, PPV 76.47%, NPV 93.33%, and accuracy 84.38%. The sensitivity of handheld ultrasound (HHUS) in detecting breast lesions was 89.29%, specificity 88.89%, PPV 86.21%, NPV 91.43%, and accuracy 89.06%. Conclusion The sensitivity of ABUS in detecting breast lesions was much higher than mammography in dense breast while the digital mammography (DM) had higher specificity. So, implementation of both DM and ABUS to get benefit of DM specificity as well as ABUS sensitivity were highly recommended. Dense breast (dpeaa)DE-He213 Automated breast ultrasound (dpeaa)DE-He213 Ahmed, Alaa M. verfasserin aut Elsaid, Noha A. verfasserin aut Enthalten in The Egyptian Journal of Radiology and Nuclear Medicine Amsterdam [u.a.] : Elsevier, 2010 51(2020), 1 vom: 27. Aug. (DE-627)641391862 (DE-600)2583928-7 2090-4762 nnns volume:51 year:2020 number:1 day:27 month:08 https://dx.doi.org/10.1186/s43055-020-00171-9 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 51 2020 1 27 08
language	English
source	Enthalten in The Egyptian Journal of Radiology and Nuclear Medicine 51(2020), 1 vom: 27. Aug. volume:51 year:2020 number:1 day:27 month:08
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topic_facet	Dense breast Automated breast ultrasound
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authorswithroles_txt_mv	Ali, Engy A. @@aut@@ Ahmed, Alaa M. @@aut@@ Elsaid, Noha A. @@aut@@
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author	Ali, Engy A.
spellingShingle	Ali, Engy A. ddc 610 misc Dense breast misc Automated breast ultrasound The added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts
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topic_title	610 ASE The added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts Dense breast (dpeaa)DE-He213 Automated breast ultrasound (dpeaa)DE-He213
topic	ddc 610 misc Dense breast misc Automated breast ultrasound
topic_unstemmed	ddc 610 misc Dense breast misc Automated breast ultrasound
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title	The added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts
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title_full	The added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts
author_sort	Ali, Engy A.
journal	The Egyptian Journal of Radiology and Nuclear Medicine
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author_browse	Ali, Engy A. Ahmed, Alaa M. Elsaid, Noha A.
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title_sort	added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts
title_auth	The added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts
abstract	Background Breast cancer is the most commonly diagnosed malignancy in women worldwide. Women with dense breast tend to have 15–25% lifetime risk of breast cancer due to decrease of mammographic sensitivity. Automated breast ultrasound (ABUS) is a new promising tool for detection of breast lesions masked by dense glandular tissue at mammography. Results The sensitivity of digital mammography in detecting breast lesions was 60.7%, specificity 91.6%, PPV 85%, NPV 75%, and accuracy 78%. The sensitivity of ABUS in detecting breast lesions was 92.86%, specificity 77.78%, PPV 76.47%, NPV 93.33%, and accuracy 84.38%. The sensitivity of handheld ultrasound (HHUS) in detecting breast lesions was 89.29%, specificity 88.89%, PPV 86.21%, NPV 91.43%, and accuracy 89.06%. Conclusion The sensitivity of ABUS in detecting breast lesions was much higher than mammography in dense breast while the digital mammography (DM) had higher specificity. So, implementation of both DM and ABUS to get benefit of DM specificity as well as ABUS sensitivity were highly recommended.
abstractGer	Background Breast cancer is the most commonly diagnosed malignancy in women worldwide. Women with dense breast tend to have 15–25% lifetime risk of breast cancer due to decrease of mammographic sensitivity. Automated breast ultrasound (ABUS) is a new promising tool for detection of breast lesions masked by dense glandular tissue at mammography. Results The sensitivity of digital mammography in detecting breast lesions was 60.7%, specificity 91.6%, PPV 85%, NPV 75%, and accuracy 78%. The sensitivity of ABUS in detecting breast lesions was 92.86%, specificity 77.78%, PPV 76.47%, NPV 93.33%, and accuracy 84.38%. The sensitivity of handheld ultrasound (HHUS) in detecting breast lesions was 89.29%, specificity 88.89%, PPV 86.21%, NPV 91.43%, and accuracy 89.06%. Conclusion The sensitivity of ABUS in detecting breast lesions was much higher than mammography in dense breast while the digital mammography (DM) had higher specificity. So, implementation of both DM and ABUS to get benefit of DM specificity as well as ABUS sensitivity were highly recommended.
abstract_unstemmed	Background Breast cancer is the most commonly diagnosed malignancy in women worldwide. Women with dense breast tend to have 15–25% lifetime risk of breast cancer due to decrease of mammographic sensitivity. Automated breast ultrasound (ABUS) is a new promising tool for detection of breast lesions masked by dense glandular tissue at mammography. Results The sensitivity of digital mammography in detecting breast lesions was 60.7%, specificity 91.6%, PPV 85%, NPV 75%, and accuracy 78%. The sensitivity of ABUS in detecting breast lesions was 92.86%, specificity 77.78%, PPV 76.47%, NPV 93.33%, and accuracy 84.38%. The sensitivity of handheld ultrasound (HHUS) in detecting breast lesions was 89.29%, specificity 88.89%, PPV 86.21%, NPV 91.43%, and accuracy 89.06%. Conclusion The sensitivity of ABUS in detecting breast lesions was much higher than mammography in dense breast while the digital mammography (DM) had higher specificity. So, implementation of both DM and ABUS to get benefit of DM specificity as well as ABUS sensitivity were highly recommended.
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title_short	The added advantage of automated breast ultrasound to mammographically detected different breast lesions in patients with dense breasts
url	https://dx.doi.org/10.1186/s43055-020-00171-9
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author2	Ahmed, Alaa M. Elsaid, Noha A.
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up_date	2024-07-03T18:10:27.242Z
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