Image processing can cause some malignant soft-tissue lesions to be missed in digital mammography images. Issue 9 (September 2017)
- Record Type:
- Journal Article
- Title:
- Image processing can cause some malignant soft-tissue lesions to be missed in digital mammography images. Issue 9 (September 2017)
- Main Title:
- Image processing can cause some malignant soft-tissue lesions to be missed in digital mammography images
- Authors:
- Warren, L.M.
Halling-Brown, M.D.
Looney, P.T.
Dance, D.R.
Wallis, M.G.
Given-Wilson, R.M.
Wilkinson, L.
McAvinchey, R.
Young, K.C. - Abstract:
- Abstract : Aim: To investigate the effect of image processing on cancer detection in mammography. Methods and materials: An observer study was performed using 349 digital mammography images of women with normal breasts, calcification clusters, or soft-tissue lesions including 191 subtle cancers. Images underwent two types of processing: FlavourA (standard) and FlavourB (added enhancement). Six observers located features in the breast they suspected to be cancerous (4, 188 observations). Data were analysed using jackknife alternative free-response receiver operating characteristic (JAFROC) analysis. Characteristics of the cancers detected with each image processing type were investigated. Results: For calcifications, the JAFROC figure of merit (FOM) was equal to 0.86 for both types of image processing. For soft-tissue lesions, the JAFROC FOM were better for FlavourA (0.81) than FlavourB (0.78); this difference was significant ( p= 0.001). Using FlavourA a greater number of cancers of all grades and sizes were detected than with FlavourB. FlavourA improved soft-tissue lesion detection in denser breasts ( p= 0.04 when volumetric density was over 7.5%) Conclusions: The detection of malignant soft-tissue lesions (which were primarily invasive) was significantly better with FlavourA than FlavourB image processing. This is despite FlavourB having a higher contrast appearance often preferred by radiologists. It is important that clinical choice of image processing is based onAbstract : Aim: To investigate the effect of image processing on cancer detection in mammography. Methods and materials: An observer study was performed using 349 digital mammography images of women with normal breasts, calcification clusters, or soft-tissue lesions including 191 subtle cancers. Images underwent two types of processing: FlavourA (standard) and FlavourB (added enhancement). Six observers located features in the breast they suspected to be cancerous (4, 188 observations). Data were analysed using jackknife alternative free-response receiver operating characteristic (JAFROC) analysis. Characteristics of the cancers detected with each image processing type were investigated. Results: For calcifications, the JAFROC figure of merit (FOM) was equal to 0.86 for both types of image processing. For soft-tissue lesions, the JAFROC FOM were better for FlavourA (0.81) than FlavourB (0.78); this difference was significant ( p= 0.001). Using FlavourA a greater number of cancers of all grades and sizes were detected than with FlavourB. FlavourA improved soft-tissue lesion detection in denser breasts ( p= 0.04 when volumetric density was over 7.5%) Conclusions: The detection of malignant soft-tissue lesions (which were primarily invasive) was significantly better with FlavourA than FlavourB image processing. This is despite FlavourB having a higher contrast appearance often preferred by radiologists. It is important that clinical choice of image processing is based on objective measures. Highlights: Image processing type tested affected the detection of soft tissue cancers. Image processing type tested did not affect the detection of calcification clusters. Images with increased contrast enhancement resulted in poorer cancer detection. Choice of image processing should not be based on observers subjective preference. … (more)
- Is Part Of:
- Clinical radiology. Volume 72:Issue 9(2017)
- Journal:
- Clinical radiology
- Issue:
- Volume 72:Issue 9(2017)
- Issue Display:
- Volume 72, Issue 9 (2017)
- Year:
- 2017
- Volume:
- 72
- Issue:
- 9
- Issue Sort Value:
- 2017-0072-0009-0000
- Page Start:
- 799.e1
- Page End:
- 799.e8
- Publication Date:
- 2017-09
- Subjects:
- Medical radiology -- Periodicals
Radiotherapy -- Periodicals
Radiotherapy -- Periodicals
Radiology -- Periodicals
Societies, Medical -- Periodicals
Medical radiology
Radiotherapy
Electronic journals
Periodicals
616.0757 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00099260 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.crad.2017.03.024 ↗
- Languages:
- English
- ISSNs:
- 0009-9260
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.350000
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British Library STI - ELD Digital store - Ingest File:
- 2928.xml