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https://olympias.lib.uoi.gr/jspui/handle/123456789/19135Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Iatrakis, G. | en |
| dc.contributor.author | Zervoudis, S. | en |
| dc.contributor.author | Malakassis, P. | en |
| dc.contributor.author | Navrozoglou, I. | en |
| dc.contributor.author | Pechlivani, F. | en |
| dc.contributor.author | Peitsidis, P. | en |
| dc.contributor.author | Economides, P. | en |
| dc.contributor.author | Polyzos, D. | en |
| dc.date.accessioned | 2015-11-24T18:57:07Z | - |
| dc.date.available | 2015-11-24T18:57:07Z | - |
| dc.identifier.issn | 0390-6663 | - |
| dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/19135 | - |
| dc.rights | Default Licence | - |
| dc.subject | Female | en |
| dc.subject | Humans | en |
| dc.subject | *Mammography | en |
| dc.subject | Prospective Studies | en |
| dc.subject | Radiographic Image Enhancement | en |
| dc.subject | *Radiographic Image Interpretation, Computer-Assisted | en |
| dc.subject | Software | en |
| dc.title | Preliminary results of objective assessment of mammographic percent density | en |
| heal.type | journalArticle | - |
| heal.type.en | Journal article | en |
| heal.type.el | Άρθρο Περιοδικού | el |
| heal.identifier.secondary | http://www.ncbi.nlm.nih.gov/pubmed/20420275 | - |
| heal.language | en | - |
| heal.access | campus | - |
| heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικής | el |
| heal.publicationDate | 2010 | - |
| heal.abstract | Breast density assessments performed by using the Breast Imaging Reporting and Data System (BI-RADS) have been completely qualitative and the American College of Radiology (ACR) fibroglandular density descriptors are mainly subjective. However, women with increased mammographic density (MD) have an increased risk of developing breast cancer. The purpose of our study was to evaluate an experimental method to quantify MD using a software utility which measures absolutely black areas as zero and absolutely white areas as 100. In grey scale areas, these values range between 0 and 100, depending on the "density" of the area. Digital screening mammograms were directly estimated with this method. We concluded that there is a significant correlation between ACR quartiles and this grey scale percentage method, although several improvements on the original idea are planned. | en |
| heal.journalName | Clin Exp Obstet Gynecol | en |
| heal.journalType | peer-reviewed | - |
| heal.fullTextAvailability | TRUE | - |
| Appears in Collections: | Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΙΑΤ | |
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