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Sökning: L773:1365 229X OR L773:0009 9260 > Breast fat volume m...

Breast fat volume measurement in a wide-bore 3T MR: comparison of traditional mammographic density evaluation with MR density measurements using automatic segmentation.

Petridou, Elia (författare)
Norfolk and Norwich University Hospital, UK
Kibiro, Minnie (författare)
Norfolk and Norwich University Hospital, UK
Gladwell, Christina (författare)
Norfolk and Norwich University Hospital, UK
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Malcolm, Paul (författare)
Norfolk and Norwich University Hospital, UK
Toms, Andoni (författare)
Norfolk and Norwich University Hospital, UK
Juette, Arne (författare)
Norfolk and Norwich University Hospital, UK
Borga, Magnus (författare)
Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Medicinsk informatik,Tekniska fakulteten
Dahlqvist Leinhard, Olof, 1978- (författare)
Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,Region Östergötland, Radiofysikavdelningen US
Romu, Thobias (författare)
Linköpings universitet,Medicinsk informatik,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Tekniska fakulteten
Kasmai, Bahman (författare)
Norfolk and Norwich University Hospital, UK
Denton, Erika (författare)
Norfolk and Norwich University Hospital, UK
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 (creator_code:org_t)
Saunders Elsevier, 2017
2017
Engelska.
Ingår i: Clinical Radiology. - : Saunders Elsevier. - 0009-9260 .- 1365-229X. ; 72:7, s. 565-572
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • AimTo compare magnetic resonance imaging (MRI) derived breast density measurements using automatic segmentation algorithms with radiologist estimations using the Breast Imaging Reporting and Data Systems (BI-RADS) density classification.Materials and Methods40 women undergoing mammography and dynamic breast MRI as part of their clinical management were recruited. Fat-water separated MR images derived from a 2-point Dixon technique, phase sensitive reconstruction and atlas based segmentation were obtained before and after intravenous contrast. Breast density was assessed using software from Advanced MR Analytics (AMRA), Linköping, Sweden with results compared to the widely used four-quartile quantitative BIRADS scale.ResultsThe proportion of glandular tissue of the breast on MRI was derived from the AMRA sequence. The mean unenhanced breast density was 0.31 ± 0.22 (mean ± SD) (left) and 0.29 ± 0.21 (right). Mean breast density on post-contrast images was 0.32 ± 0.19 (left) and 0.32 ± 0.2 (right). There was "almost perfect" correlation between pre and post-contrast breast density quantification: Spearman correlation rho=0.98 (95% confidence intervals (CI): 0.97-0.99) (left) and rho=0.99(CI: 0.98-0.99) (right). The 95% limits of agreement were -0.11-0.08 (left) and -0.08-0.03 (right).Interobserver reliability for BIRADS is "substantial": weighted Kappa k=0.8 (CI: 0.74- 0.87). The Spearman Correlation coefficient between BIRADs and MR breast density was rho=0.73 (CI: 0.60-0.82) (left) and rho=0.75 (CI: 0.63-0.83) (right) which is also "substantial".ConclusionThe AMRA sequence provides a fully automated, reproducible, objective assessment of fibroglandular breast tissue proportion that correlates well with mammographic assessment of breast density with the added advantage of avoidance of ionising radiation. 

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Medical Engineering -- Medical Image Processing (hsv//eng)

Nyckelord

MRI breast density

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