The P.I.N.K. Study Approach for Supporting Personalized Risk Assessment and Early Diagnosis of Breast Cancer

Breast cancer is a clear example of excellent survival when it is detected and properly treated in the early stage. Currently, screening of this cancer relies on mammography, which may be integrated by new imaging techniques for more exhaustive evaluation. The Personalized, Integrated, Network, Knowledge (P.I.N.K.) study is a longitudinal multicentric study involving several diagnostic centres across Italy, co-ordinated by the Italian National Research Council and co-funded by the Umberto Veronesi Foundation. Aim of the study is to evaluate the increased diagnostic accuracy in detecting cancers obtained with different combinations of imaging technologies, and find the most effective diagnostic pathway matching the characteristics of an individual patient. The study foresees the enrolment of 50,000 women over the age of 40 years presenting for breast examination and providing informed consent to data handling. So far, the 15 participating centres across Italy have recruited a total of 22,848 patients. Based on the analyses of the first 175 histopathological-proven breast cancers, mammographic sensitivity was estimated to be 61.7% (<i<n</i< = 108 cancers), whereas diagnostic accuracy increased by 35.5% (<i<n</i< = 44 cancers) when mammography was integrated with other imaging modalities (ultrasound and/or digital breast tomosynthesis). Increase was mainly determined by ultrasound alone. Given the ongoing data collection and recruitment, the number of cancers detected is too low to allow any further in-depth analysis to explore links to patient characteristics. Past studies show that the uniform approach of population screening guidelines should be revised in favour of more personalised regimens, where known standards are integrated by imaging techniques most suitable for the individual’s characteristics. With the ultimate goal of identifying early breast cancer detection strategies, our preliminary results suggest that integrated diagnostic approach could lead to a paradigm shift from an age-based regimen toward more specific and effective risk-based personalised screening regimens, in order to reduce mortality from breast cancer. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Michela Franchini [verfasserIn] Stefania Pieroni [verfasserIn] Edgardo Montrucchio [verfasserIn] Jacopo Nori Cucchiari [verfasserIn] Cosimo Di Maggio [verfasserIn] Enrico Cassano [verfasserIn] Brunella Di Nubila [verfasserIn] Gian Marco Giuseppetti [verfasserIn] Alberto Nicolucci [verfasserIn] Gianfranco Scaperrotta [verfasserIn] Paolo Belli [verfasserIn] Sonia Santicchia [verfasserIn] Sabrina Molinaro [verfasserIn] on behalf of the PINK Consortium [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	breast cancer early diagnosis integrated imaging techniques personalized medicine web based data collection

Übergeordnetes Werk:	In: International Journal of Environmental Research and Public Health - MDPI AG, 2005, 18(2021), 2456, p 2456
Übergeordnetes Werk:	volume:18 ; year:2021 ; number:2456, p 2456

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.3390/ijerph18052456

Katalog-ID:	DOAJ053485955

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allfields	10.3390/ijerph18052456 doi (DE-627)DOAJ053485955 (DE-599)DOAJ7ab6253d4e5741469f8fbde160c2719e DE-627 ger DE-627 rakwb eng Michela Franchini verfasserin aut The P.I.N.K. Study Approach for Supporting Personalized Risk Assessment and Early Diagnosis of Breast Cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Breast cancer is a clear example of excellent survival when it is detected and properly treated in the early stage. Currently, screening of this cancer relies on mammography, which may be integrated by new imaging techniques for more exhaustive evaluation. The Personalized, Integrated, Network, Knowledge (P.I.N.K.) study is a longitudinal multicentric study involving several diagnostic centres across Italy, co-ordinated by the Italian National Research Council and co-funded by the Umberto Veronesi Foundation. Aim of the study is to evaluate the increased diagnostic accuracy in detecting cancers obtained with different combinations of imaging technologies, and find the most effective diagnostic pathway matching the characteristics of an individual patient. The study foresees the enrolment of 50,000 women over the age of 40 years presenting for breast examination and providing informed consent to data handling. So far, the 15 participating centres across Italy have recruited a total of 22,848 patients. Based on the analyses of the first 175 histopathological-proven breast cancers, mammographic sensitivity was estimated to be 61.7% (<i<n</i< = 108 cancers), whereas diagnostic accuracy increased by 35.5% (<i<n</i< = 44 cancers) when mammography was integrated with other imaging modalities (ultrasound and/or digital breast tomosynthesis). Increase was mainly determined by ultrasound alone. Given the ongoing data collection and recruitment, the number of cancers detected is too low to allow any further in-depth analysis to explore links to patient characteristics. Past studies show that the uniform approach of population screening guidelines should be revised in favour of more personalised regimens, where known standards are integrated by imaging techniques most suitable for the individual’s characteristics. With the ultimate goal of identifying early breast cancer detection strategies, our preliminary results suggest that integrated diagnostic approach could lead to a paradigm shift from an age-based regimen toward more specific and effective risk-based personalised screening regimens, in order to reduce mortality from breast cancer. breast cancer early diagnosis integrated imaging techniques personalized medicine web based data collection Medicine R Stefania Pieroni verfasserin aut Edgardo Montrucchio verfasserin aut Jacopo Nori Cucchiari verfasserin aut Cosimo Di Maggio verfasserin aut Enrico Cassano verfasserin aut Brunella Di Nubila verfasserin aut Gian Marco Giuseppetti verfasserin aut Alberto Nicolucci verfasserin aut Gianfranco Scaperrotta verfasserin aut Paolo Belli verfasserin aut Sonia Santicchia verfasserin aut Sabrina Molinaro verfasserin aut on behalf of the PINK Consortium verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 2456, p 2456 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:2456, p 2456 https://doi.org/10.3390/ijerph18052456 kostenfrei https://doaj.org/article/7ab6253d4e5741469f8fbde160c2719e kostenfrei https://www.mdpi.com/1660-4601/18/5/2456 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 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 18 2021 2456, p 2456
spelling	10.3390/ijerph18052456 doi (DE-627)DOAJ053485955 (DE-599)DOAJ7ab6253d4e5741469f8fbde160c2719e DE-627 ger DE-627 rakwb eng Michela Franchini verfasserin aut The P.I.N.K. Study Approach for Supporting Personalized Risk Assessment and Early Diagnosis of Breast Cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Breast cancer is a clear example of excellent survival when it is detected and properly treated in the early stage. Currently, screening of this cancer relies on mammography, which may be integrated by new imaging techniques for more exhaustive evaluation. The Personalized, Integrated, Network, Knowledge (P.I.N.K.) study is a longitudinal multicentric study involving several diagnostic centres across Italy, co-ordinated by the Italian National Research Council and co-funded by the Umberto Veronesi Foundation. Aim of the study is to evaluate the increased diagnostic accuracy in detecting cancers obtained with different combinations of imaging technologies, and find the most effective diagnostic pathway matching the characteristics of an individual patient. The study foresees the enrolment of 50,000 women over the age of 40 years presenting for breast examination and providing informed consent to data handling. So far, the 15 participating centres across Italy have recruited a total of 22,848 patients. Based on the analyses of the first 175 histopathological-proven breast cancers, mammographic sensitivity was estimated to be 61.7% (<i<n</i< = 108 cancers), whereas diagnostic accuracy increased by 35.5% (<i<n</i< = 44 cancers) when mammography was integrated with other imaging modalities (ultrasound and/or digital breast tomosynthesis). Increase was mainly determined by ultrasound alone. Given the ongoing data collection and recruitment, the number of cancers detected is too low to allow any further in-depth analysis to explore links to patient characteristics. Past studies show that the uniform approach of population screening guidelines should be revised in favour of more personalised regimens, where known standards are integrated by imaging techniques most suitable for the individual’s characteristics. With the ultimate goal of identifying early breast cancer detection strategies, our preliminary results suggest that integrated diagnostic approach could lead to a paradigm shift from an age-based regimen toward more specific and effective risk-based personalised screening regimens, in order to reduce mortality from breast cancer. breast cancer early diagnosis integrated imaging techniques personalized medicine web based data collection Medicine R Stefania Pieroni verfasserin aut Edgardo Montrucchio verfasserin aut Jacopo Nori Cucchiari verfasserin aut Cosimo Di Maggio verfasserin aut Enrico Cassano verfasserin aut Brunella Di Nubila verfasserin aut Gian Marco Giuseppetti verfasserin aut Alberto Nicolucci verfasserin aut Gianfranco Scaperrotta verfasserin aut Paolo Belli verfasserin aut Sonia Santicchia verfasserin aut Sabrina Molinaro verfasserin aut on behalf of the PINK Consortium verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 2456, p 2456 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:2456, p 2456 https://doi.org/10.3390/ijerph18052456 kostenfrei https://doaj.org/article/7ab6253d4e5741469f8fbde160c2719e kostenfrei https://www.mdpi.com/1660-4601/18/5/2456 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 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 18 2021 2456, p 2456
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allfieldsGer	10.3390/ijerph18052456 doi (DE-627)DOAJ053485955 (DE-599)DOAJ7ab6253d4e5741469f8fbde160c2719e DE-627 ger DE-627 rakwb eng Michela Franchini verfasserin aut The P.I.N.K. Study Approach for Supporting Personalized Risk Assessment and Early Diagnosis of Breast Cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Breast cancer is a clear example of excellent survival when it is detected and properly treated in the early stage. Currently, screening of this cancer relies on mammography, which may be integrated by new imaging techniques for more exhaustive evaluation. The Personalized, Integrated, Network, Knowledge (P.I.N.K.) study is a longitudinal multicentric study involving several diagnostic centres across Italy, co-ordinated by the Italian National Research Council and co-funded by the Umberto Veronesi Foundation. Aim of the study is to evaluate the increased diagnostic accuracy in detecting cancers obtained with different combinations of imaging technologies, and find the most effective diagnostic pathway matching the characteristics of an individual patient. The study foresees the enrolment of 50,000 women over the age of 40 years presenting for breast examination and providing informed consent to data handling. So far, the 15 participating centres across Italy have recruited a total of 22,848 patients. Based on the analyses of the first 175 histopathological-proven breast cancers, mammographic sensitivity was estimated to be 61.7% (<i<n</i< = 108 cancers), whereas diagnostic accuracy increased by 35.5% (<i<n</i< = 44 cancers) when mammography was integrated with other imaging modalities (ultrasound and/or digital breast tomosynthesis). Increase was mainly determined by ultrasound alone. Given the ongoing data collection and recruitment, the number of cancers detected is too low to allow any further in-depth analysis to explore links to patient characteristics. Past studies show that the uniform approach of population screening guidelines should be revised in favour of more personalised regimens, where known standards are integrated by imaging techniques most suitable for the individual’s characteristics. With the ultimate goal of identifying early breast cancer detection strategies, our preliminary results suggest that integrated diagnostic approach could lead to a paradigm shift from an age-based regimen toward more specific and effective risk-based personalised screening regimens, in order to reduce mortality from breast cancer. breast cancer early diagnosis integrated imaging techniques personalized medicine web based data collection Medicine R Stefania Pieroni verfasserin aut Edgardo Montrucchio verfasserin aut Jacopo Nori Cucchiari verfasserin aut Cosimo Di Maggio verfasserin aut Enrico Cassano verfasserin aut Brunella Di Nubila verfasserin aut Gian Marco Giuseppetti verfasserin aut Alberto Nicolucci verfasserin aut Gianfranco Scaperrotta verfasserin aut Paolo Belli verfasserin aut Sonia Santicchia verfasserin aut Sabrina Molinaro verfasserin aut on behalf of the PINK Consortium verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 2456, p 2456 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:2456, p 2456 https://doi.org/10.3390/ijerph18052456 kostenfrei https://doaj.org/article/7ab6253d4e5741469f8fbde160c2719e kostenfrei https://www.mdpi.com/1660-4601/18/5/2456 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 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 18 2021 2456, p 2456
allfieldsSound	10.3390/ijerph18052456 doi (DE-627)DOAJ053485955 (DE-599)DOAJ7ab6253d4e5741469f8fbde160c2719e DE-627 ger DE-627 rakwb eng Michela Franchini verfasserin aut The P.I.N.K. Study Approach for Supporting Personalized Risk Assessment and Early Diagnosis of Breast Cancer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Breast cancer is a clear example of excellent survival when it is detected and properly treated in the early stage. Currently, screening of this cancer relies on mammography, which may be integrated by new imaging techniques for more exhaustive evaluation. The Personalized, Integrated, Network, Knowledge (P.I.N.K.) study is a longitudinal multicentric study involving several diagnostic centres across Italy, co-ordinated by the Italian National Research Council and co-funded by the Umberto Veronesi Foundation. Aim of the study is to evaluate the increased diagnostic accuracy in detecting cancers obtained with different combinations of imaging technologies, and find the most effective diagnostic pathway matching the characteristics of an individual patient. The study foresees the enrolment of 50,000 women over the age of 40 years presenting for breast examination and providing informed consent to data handling. So far, the 15 participating centres across Italy have recruited a total of 22,848 patients. Based on the analyses of the first 175 histopathological-proven breast cancers, mammographic sensitivity was estimated to be 61.7% (<i<n</i< = 108 cancers), whereas diagnostic accuracy increased by 35.5% (<i<n</i< = 44 cancers) when mammography was integrated with other imaging modalities (ultrasound and/or digital breast tomosynthesis). Increase was mainly determined by ultrasound alone. Given the ongoing data collection and recruitment, the number of cancers detected is too low to allow any further in-depth analysis to explore links to patient characteristics. Past studies show that the uniform approach of population screening guidelines should be revised in favour of more personalised regimens, where known standards are integrated by imaging techniques most suitable for the individual’s characteristics. With the ultimate goal of identifying early breast cancer detection strategies, our preliminary results suggest that integrated diagnostic approach could lead to a paradigm shift from an age-based regimen toward more specific and effective risk-based personalised screening regimens, in order to reduce mortality from breast cancer. breast cancer early diagnosis integrated imaging techniques personalized medicine web based data collection Medicine R Stefania Pieroni verfasserin aut Edgardo Montrucchio verfasserin aut Jacopo Nori Cucchiari verfasserin aut Cosimo Di Maggio verfasserin aut Enrico Cassano verfasserin aut Brunella Di Nubila verfasserin aut Gian Marco Giuseppetti verfasserin aut Alberto Nicolucci verfasserin aut Gianfranco Scaperrotta verfasserin aut Paolo Belli verfasserin aut Sonia Santicchia verfasserin aut Sabrina Molinaro verfasserin aut on behalf of the PINK Consortium verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 18(2021), 2456, p 2456 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:18 year:2021 number:2456, p 2456 https://doi.org/10.3390/ijerph18052456 kostenfrei https://doaj.org/article/7ab6253d4e5741469f8fbde160c2719e kostenfrei https://www.mdpi.com/1660-4601/18/5/2456 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 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 18 2021 2456, p 2456
language	English
source	In International Journal of Environmental Research and Public Health 18(2021), 2456, p 2456 volume:18 year:2021 number:2456, p 2456
sourceStr	In International Journal of Environmental Research and Public Health 18(2021), 2456, p 2456 volume:18 year:2021 number:2456, p 2456
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	breast cancer early diagnosis integrated imaging techniques personalized medicine web based data collection Medicine R
isfreeaccess_bool	true
container_title	International Journal of Environmental Research and Public Health
authorswithroles_txt_mv	Michela Franchini @@aut@@ Stefania Pieroni @@aut@@ Edgardo Montrucchio @@aut@@ Jacopo Nori Cucchiari @@aut@@ Cosimo Di Maggio @@aut@@ Enrico Cassano @@aut@@ Brunella Di Nubila @@aut@@ Gian Marco Giuseppetti @@aut@@ Alberto Nicolucci @@aut@@ Gianfranco Scaperrotta @@aut@@ Paolo Belli @@aut@@ Sonia Santicchia @@aut@@ Sabrina Molinaro @@aut@@ on behalf of the PINK Consortium @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	477992463
id	DOAJ053485955
language_de	englisch
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author	Michela Franchini
spellingShingle	Michela Franchini misc breast cancer misc early diagnosis misc integrated imaging techniques misc personalized medicine misc web based data collection misc Medicine misc R The P.I.N.K. Study Approach for Supporting Personalized Risk Assessment and Early Diagnosis of Breast Cancer
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topic_title	The P.I.N.K. Study Approach for Supporting Personalized Risk Assessment and Early Diagnosis of Breast Cancer breast cancer early diagnosis integrated imaging techniques personalized medicine web based data collection
topic	misc breast cancer misc early diagnosis misc integrated imaging techniques misc personalized medicine misc web based data collection misc Medicine misc R
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title	The P.I.N.K. Study Approach for Supporting Personalized Risk Assessment and Early Diagnosis of Breast Cancer
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title_full	The P.I.N.K. Study Approach for Supporting Personalized Risk Assessment and Early Diagnosis of Breast Cancer
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author_browse	Michela Franchini Stefania Pieroni Edgardo Montrucchio Jacopo Nori Cucchiari Cosimo Di Maggio Enrico Cassano Brunella Di Nubila Gian Marco Giuseppetti Alberto Nicolucci Gianfranco Scaperrotta Paolo Belli Sonia Santicchia Sabrina Molinaro on behalf of the PINK Consortium
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title_sort	p.i.n.k. study approach for supporting personalized risk assessment and early diagnosis of breast cancer
title_auth	The P.I.N.K. Study Approach for Supporting Personalized Risk Assessment and Early Diagnosis of Breast Cancer
abstract	Breast cancer is a clear example of excellent survival when it is detected and properly treated in the early stage. Currently, screening of this cancer relies on mammography, which may be integrated by new imaging techniques for more exhaustive evaluation. The Personalized, Integrated, Network, Knowledge (P.I.N.K.) study is a longitudinal multicentric study involving several diagnostic centres across Italy, co-ordinated by the Italian National Research Council and co-funded by the Umberto Veronesi Foundation. Aim of the study is to evaluate the increased diagnostic accuracy in detecting cancers obtained with different combinations of imaging technologies, and find the most effective diagnostic pathway matching the characteristics of an individual patient. The study foresees the enrolment of 50,000 women over the age of 40 years presenting for breast examination and providing informed consent to data handling. So far, the 15 participating centres across Italy have recruited a total of 22,848 patients. Based on the analyses of the first 175 histopathological-proven breast cancers, mammographic sensitivity was estimated to be 61.7% (<i<n</i< = 108 cancers), whereas diagnostic accuracy increased by 35.5% (<i<n</i< = 44 cancers) when mammography was integrated with other imaging modalities (ultrasound and/or digital breast tomosynthesis). Increase was mainly determined by ultrasound alone. Given the ongoing data collection and recruitment, the number of cancers detected is too low to allow any further in-depth analysis to explore links to patient characteristics. Past studies show that the uniform approach of population screening guidelines should be revised in favour of more personalised regimens, where known standards are integrated by imaging techniques most suitable for the individual’s characteristics. With the ultimate goal of identifying early breast cancer detection strategies, our preliminary results suggest that integrated diagnostic approach could lead to a paradigm shift from an age-based regimen toward more specific and effective risk-based personalised screening regimens, in order to reduce mortality from breast cancer.
abstractGer	Breast cancer is a clear example of excellent survival when it is detected and properly treated in the early stage. Currently, screening of this cancer relies on mammography, which may be integrated by new imaging techniques for more exhaustive evaluation. The Personalized, Integrated, Network, Knowledge (P.I.N.K.) study is a longitudinal multicentric study involving several diagnostic centres across Italy, co-ordinated by the Italian National Research Council and co-funded by the Umberto Veronesi Foundation. Aim of the study is to evaluate the increased diagnostic accuracy in detecting cancers obtained with different combinations of imaging technologies, and find the most effective diagnostic pathway matching the characteristics of an individual patient. The study foresees the enrolment of 50,000 women over the age of 40 years presenting for breast examination and providing informed consent to data handling. So far, the 15 participating centres across Italy have recruited a total of 22,848 patients. Based on the analyses of the first 175 histopathological-proven breast cancers, mammographic sensitivity was estimated to be 61.7% (<i<n</i< = 108 cancers), whereas diagnostic accuracy increased by 35.5% (<i<n</i< = 44 cancers) when mammography was integrated with other imaging modalities (ultrasound and/or digital breast tomosynthesis). Increase was mainly determined by ultrasound alone. Given the ongoing data collection and recruitment, the number of cancers detected is too low to allow any further in-depth analysis to explore links to patient characteristics. Past studies show that the uniform approach of population screening guidelines should be revised in favour of more personalised regimens, where known standards are integrated by imaging techniques most suitable for the individual’s characteristics. With the ultimate goal of identifying early breast cancer detection strategies, our preliminary results suggest that integrated diagnostic approach could lead to a paradigm shift from an age-based regimen toward more specific and effective risk-based personalised screening regimens, in order to reduce mortality from breast cancer.
abstract_unstemmed	Breast cancer is a clear example of excellent survival when it is detected and properly treated in the early stage. Currently, screening of this cancer relies on mammography, which may be integrated by new imaging techniques for more exhaustive evaluation. The Personalized, Integrated, Network, Knowledge (P.I.N.K.) study is a longitudinal multicentric study involving several diagnostic centres across Italy, co-ordinated by the Italian National Research Council and co-funded by the Umberto Veronesi Foundation. Aim of the study is to evaluate the increased diagnostic accuracy in detecting cancers obtained with different combinations of imaging technologies, and find the most effective diagnostic pathway matching the characteristics of an individual patient. The study foresees the enrolment of 50,000 women over the age of 40 years presenting for breast examination and providing informed consent to data handling. So far, the 15 participating centres across Italy have recruited a total of 22,848 patients. Based on the analyses of the first 175 histopathological-proven breast cancers, mammographic sensitivity was estimated to be 61.7% (<i<n</i< = 108 cancers), whereas diagnostic accuracy increased by 35.5% (<i<n</i< = 44 cancers) when mammography was integrated with other imaging modalities (ultrasound and/or digital breast tomosynthesis). Increase was mainly determined by ultrasound alone. Given the ongoing data collection and recruitment, the number of cancers detected is too low to allow any further in-depth analysis to explore links to patient characteristics. Past studies show that the uniform approach of population screening guidelines should be revised in favour of more personalised regimens, where known standards are integrated by imaging techniques most suitable for the individual’s characteristics. With the ultimate goal of identifying early breast cancer detection strategies, our preliminary results suggest that integrated diagnostic approach could lead to a paradigm shift from an age-based regimen toward more specific and effective risk-based personalised screening regimens, in order to reduce mortality from breast cancer.
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