A revisit on correlation between Tabár and Birads based risk assessment schemes with full field digital mammography

Wenda He; Minnie Kibiro; Arne Juette; Erika R. E. Denton; Reyer Zwiggelaar

doi:10.1007/978-3-319-07887-8_46

A revisit on correlation between Tabár and Birads based risk assessment schemes with full field digital mammography

Wenda He
, Minnie Kibiro
, Arne Juette
, Erika R. E. Denton
, Reyer Zwiggelaar

Department of Computer Science

Norfolk and Norwich University Hospitals NHS Foundation Trust

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (ISBN)

2 Citations (Scopus)

Abstract

Mammographic risk assessment is used to determine the probability of a woman developing breast cancer and it plays an important role in the early detection and disease prevention within screening mammography. Tabár and Birads are two fundamentally different risk schemes, one is assessed based on mixtures of breast parenchyma and the other one is assessed based on the percentage of dense breast tissue. This paper presents findings on the correlation between these two mammographic risk assessment schemes; aspects with respect to reader experience and related inter reader variability were also investigated. As a follow up (revisit) investigation to a previously published paper, the new results have shown a strong correlation between Tabár and Birads with the highest Spearman’s correlation coefficient > 0.92 and κ = 0.86% (almost perfect agreement). The statistical results vary with readers’ mammographic reading experience, which also indicated subtle information such as that some mixture of breast parenchma (Tabár specific mammographic building blocks) may be more likely to cause inter reader variability.

Original language	English
Title of host publication	Breast Imaging - 12th International Workshop, IWDM 2014, Proceedings
Subtitle of host publication	12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 - July 2, 2014, Proceedings
Editors	Hiroshi Fujita, Takeshi Hara, Chisako Muramatsu
Publisher	Springer Nature
Pages	327-333
Number of pages	7
ISBN (Electronic)	978-3-319-07887-8
ISBN (Print)	978-3-319-07886-1
DOIs	https://doi.org/10.1007/978-3-319-07887-8_46
Publication status	Published - 06 Jun 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8539 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Birads
Tabár
digital mammography
risk assessment

Access to Document

10.1007/978-3-319-07887-8_46

Permanent link

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Cite this

He, W., Kibiro, M., Juette, A., Denton, E. R. E., & Zwiggelaar, R. (2014). A revisit on correlation between Tabár and Birads based risk assessment schemes with full field digital mammography. In H. Fujita, T. Hara, & C. Muramatsu (Eds.), Breast Imaging - 12th International Workshop, IWDM 2014, Proceedings: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 - July 2, 2014, Proceedings (pp. 327-333). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8539 LNCS). Springer Nature. https://doi.org/10.1007/978-3-319-07887-8_46

He, Wenda ; Kibiro, Minnie ; Juette, Arne et al. / A revisit on correlation between Tabár and Birads based risk assessment schemes with full field digital mammography. Breast Imaging - 12th International Workshop, IWDM 2014, Proceedings: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 - July 2, 2014, Proceedings. editor / Hiroshi Fujita ; Takeshi Hara ; Chisako Muramatsu. Springer Nature, 2014. pp. 327-333 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A revisit on correlation between Tab{\'a}r and Birads based risk assessment schemes with full field digital mammography",

abstract = "Mammographic risk assessment is used to determine the probability of a woman developing breast cancer and it plays an important role in the early detection and disease prevention within screening mammography. Tab{\'a}r and Birads are two fundamentally different risk schemes, one is assessed based on mixtures of breast parenchyma and the other one is assessed based on the percentage of dense breast tissue. This paper presents findings on the correlation between these two mammographic risk assessment schemes; aspects with respect to reader experience and related inter reader variability were also investigated. As a follow up (revisit) investigation to a previously published paper, the new results have shown a strong correlation between Tab{\'a}r and Birads with the highest Spearman{\textquoteright}s correlation coefficient > 0.92 and κ = 0.86\% (almost perfect agreement). The statistical results vary with readers{\textquoteright} mammographic reading experience, which also indicated subtle information such as that some mixture of breast parenchma (Tab{\'a}r specific mammographic building blocks) may be more likely to cause inter reader variability. ",

keywords = "Birads, Tab{\'a}r, digital mammography, risk assessment",

author = "Wenda He and Minnie Kibiro and Arne Juette and Denton, \{Erika R. E.\} and Reyer Zwiggelaar",

year = "2014",

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He, W, Kibiro, M, Juette, A, Denton, ERE & Zwiggelaar, R 2014, A revisit on correlation between Tabár and Birads based risk assessment schemes with full field digital mammography. in H Fujita, T Hara & C Muramatsu (eds), Breast Imaging - 12th International Workshop, IWDM 2014, Proceedings: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 - July 2, 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8539 LNCS, Springer Nature, pp. 327-333. https://doi.org/10.1007/978-3-319-07887-8_46

A revisit on correlation between Tabár and Birads based risk assessment schemes with full field digital mammography. / He, Wenda; Kibiro, Minnie; Juette, Arne et al.
Breast Imaging - 12th International Workshop, IWDM 2014, Proceedings: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 - July 2, 2014, Proceedings. ed. / Hiroshi Fujita; Takeshi Hara; Chisako Muramatsu. Springer Nature, 2014. p. 327-333 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8539 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (ISBN)

TY - GEN

T1 - A revisit on correlation between Tabár and Birads based risk assessment schemes with full field digital mammography

AU - He, Wenda

AU - Kibiro, Minnie

AU - Juette, Arne

AU - Denton, Erika R. E.

AU - Zwiggelaar, Reyer

PY - 2014/6/6

Y1 - 2014/6/6

N2 - Mammographic risk assessment is used to determine the probability of a woman developing breast cancer and it plays an important role in the early detection and disease prevention within screening mammography. Tabár and Birads are two fundamentally different risk schemes, one is assessed based on mixtures of breast parenchyma and the other one is assessed based on the percentage of dense breast tissue. This paper presents findings on the correlation between these two mammographic risk assessment schemes; aspects with respect to reader experience and related inter reader variability were also investigated. As a follow up (revisit) investigation to a previously published paper, the new results have shown a strong correlation between Tabár and Birads with the highest Spearman’s correlation coefficient > 0.92 and κ = 0.86% (almost perfect agreement). The statistical results vary with readers’ mammographic reading experience, which also indicated subtle information such as that some mixture of breast parenchma (Tabár specific mammographic building blocks) may be more likely to cause inter reader variability.

AB - Mammographic risk assessment is used to determine the probability of a woman developing breast cancer and it plays an important role in the early detection and disease prevention within screening mammography. Tabár and Birads are two fundamentally different risk schemes, one is assessed based on mixtures of breast parenchyma and the other one is assessed based on the percentage of dense breast tissue. This paper presents findings on the correlation between these two mammographic risk assessment schemes; aspects with respect to reader experience and related inter reader variability were also investigated. As a follow up (revisit) investigation to a previously published paper, the new results have shown a strong correlation between Tabár and Birads with the highest Spearman’s correlation coefficient > 0.92 and κ = 0.86% (almost perfect agreement). The statistical results vary with readers’ mammographic reading experience, which also indicated subtle information such as that some mixture of breast parenchma (Tabár specific mammographic building blocks) may be more likely to cause inter reader variability.

KW - Birads

KW - Tabár

KW - digital mammography

KW - risk assessment

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DO - 10.1007/978-3-319-07887-8_46

M3 - Conference Proceeding (ISBN)

SN - 978-3-319-07886-1

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 327

EP - 333

BT - Breast Imaging - 12th International Workshop, IWDM 2014, Proceedings

A2 - Fujita, Hiroshi

A2 - Hara, Takeshi

A2 - Muramatsu, Chisako

PB - Springer Nature

ER -

He W, Kibiro M, Juette A, Denton ERE, Zwiggelaar R. A revisit on correlation between Tabár and Birads based risk assessment schemes with full field digital mammography. In Fujita H, Hara T, Muramatsu C, editors, Breast Imaging - 12th International Workshop, IWDM 2014, Proceedings: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 - July 2, 2014, Proceedings. Springer Nature. 2014. p. 327-333. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-07887-8_46

A revisit on correlation between Tabár and Birads based risk assessment schemes with full field digital mammography

Abstract

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Keywords

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