Assessment of a fully automated, high-throughput mammographic density measurement tool for use with processed digital mammograms.
Purpose: The ImageJ model is a recently developed automated breast density measurement tool based on analysis of Cumulus outcomes. It has been validated on digitized film-screen mammograms. In this study, the ImageJ model was assessed on processed full-field digital mammograms and correlated with th...
| Publicado en: | Cancer Causes & Control Vol. 25; no. 8; pp. 1037 - 1044 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Aug2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103832279&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103832279 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09575243 ODX jtl: Cancer Causes & Control issn: 09575243 maglogo: N pubinfo: dt: Aug2014 vid: 25 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 103832279 NLM24962023 2012636433 10.1007/s10552-014-0404-4 NLM24962023 103832279 ppf: 1037 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Assessment of a fully automated, high-throughput mammographic density measurement tool for use with processed digital mammograms. aug: au: Couwenberg, A M Verkooijen, H M Li, J Pijnappel, R M Charaghvandi, K R Hartman, M van Gils, C H affil: University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands, alice.couwenberg@gmail.com. sug: subj: High-Throughput Screening Assays Methods Image Processing, Computer Assisted Methods Mammography Methods Adult Aged Aged, 80 and Over Automation Breast Neoplasms Female High-Throughput Screening Assays Standards Human Image Processing, Computer Assisted Standards Breast Abnormalities Mammography Standards Middle Age Reproducibility of Results Adult: 19-44 years Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Female ab: Purpose: The ImageJ model is a recently developed automated breast density measurement tool based on analysis of Cumulus outcomes. It has been validated on digitized film-screen mammograms. In this study, the ImageJ model was assessed on processed full-field digital mammograms and correlated with the Breast Imaging Reporting and Data System (BI-RADS) density classification. Also, the association with breast cancer risk factors is observed.Methods: Women with mammographies between 2001 and 2011 at the University Medical Center Utrecht, The Netherlands were included. We composed a training set, read with Cumulus, for building the ImageJ model [n = 100 women, 331 images; craniocaudal (CC) and mediolateral oblique (MLO) views, left and right] and a validation set for model assessment and correlation with the BI-RADS classification [n = 530 women, 1,977 images; average of available CC and MLO views, left and right]. Pearson product-moment correlation coefficient was used to compare Cumulus with ImageJ, Spearman correlation coefficient for ImageJ with BI-RADS density, and generalized linear models for association with breast cancer risk factors.Results: The correlation between ImageJ and Cumulus in the training set was 0.90 [95 % confidence interval (CI) 0.86-0.93]. After application to the validation set, we observed a high correlation between ImageJ and the BI-RADS readings (Spearman r = 0.86, 95 % CI 0.84-0.88). Women with higher density were significantly younger, more often premenopausal, had lower parity, more often a benign breast lesion or family history of breast cancer.Conclusions: The ImageJ model can be used on processed digital mammograms. The measurements strongly correlate with Cumulus, the BI-RADS density classification, and breast cancer risk factors. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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