Usefulness of grayscale inverted images in addition to standard images in digital mammography
© The Author(s). 2017
Received: 3 January 2017
Accepted: 4 April 2017
Published: 18 April 2017
Mammography is essential for early diagnosis of breast cancer, which is the most common type of cancer in females that is associated with a high mortality rate. We investigated whether evaluation of the grayscale inverted images of mammograms would aid in increasing the diagnostic sensitivity of the mammographic imaging technique.
Our study included 636 mammograms of 159 women who had undergone digital mammography. Standard, grayscale inverted, and standard plus grayscale inverted images were sequentially examined three times, at 15-day intervals, for the presence or assessment of pathological changes in the skin, calcification, asymmetric density, mass lesions, structural distortions, and intramammary and axillary lymph nodes. To determine whether grayscale inverted image assessment improved detection rates, the results of the three assessment modes were compared using Cochran’s Q test and the McNemar test (p < 0.05 was considered statistically significant).
The average age of 159 patients was 50.4 years (range, 35–80 years). There were significant differences among the three assessment modes with respect to calcification and intramammary lymph nodes (p < 0.05); however, no significant differences were observed for the detection of other parameters.
Assessment of grayscale inverted images in addition to standard images facilitates the detection of microcalcification.
KeywordsDigital mammography Macrocalcification Microcalcification Grayscale inverted images
Breast cancer is the most frequent women’s cancer, with high mortality rates in Turkey and other parts of the world. In Turkey, its incidence is 40.6 per 100,000 women (http://www.kanser.gov.tr/Dosya/ca_istatistik/2009kanseraporu). Early diagnosis can decrease the likelihood of mortality and requires scanning. It has been reported that scanning of women over 50 years of age reduces breast cancer-related mortality rates by 3–36% [1, 2].
Mammography is the most effective screening method for breast cancer . However, mammographic assessment is difficult and requires experience owing to the complex structure of mammary tissue. The false negative range in mammographic detection of breast cancer is 10–25%. Dense mammary structure, inferior mammogram quality, overlooked details of early breast cancers, and fatigue or carelessness of the radiologist may account for the high percentage of false negatives . To lower this percentage, a double-reading system is recommended  but is costly and requires two professional readers and is thus impractical. Computer-aided detection (CAD) is an alternative method, especially in busy crowded centers that focus on mammography .
Unfortunately, not all mammography centers facilitate double reading or CAD system. In our center, one radiologist assesses the data obtained via digital mammography without CAD. In view of the fact that digital mammography is a digitalized system, digitalization allows different representations of the images. Therefore, in this paper we studied if the diagnostic assessment of grayscale inverted mammograms improved compared to a standard representation of mammographic images when double-reading or CAD is impossible.
Our study included 636 mammograms of 159 women who had undergone mammography at Dr. Faruk Sükan Obstetrics and Pediatrics Hospital between January 5 and February 4, 2015. Scanning was performed for diagnostic purposes, in the mediolateral oblique and cranio-caudal views, and using a digital mammography device, which has ring shaped gantry, 24X30 cm Amorphous Selenium detector, Tungsten anode tube (Giotto Image 3D, IMS, Bologna, Italy). This study was approved by the ethics committee of Necmettin Erbakan University. Mammograms were evaluated by an experienced radiologist. Mammography was performed according to the Breast Imaging Reporting and Data System (BIRADS) as recommended by the American College of Radiology .
Initially, the parenchymal patterns on mammograms were evaluated. and categorized as follows: type A, the whole breast consists predominantly of fat tissue; type B, the whole breast contains fibroglandular densities as well as fat tissue; type C, the density of the breast parenchyma is heterogeneous; and type D, the breast parenchyma is highly dense . Pathological changes in the skin (increased thickness, mass, or shrinkage), calcification, asymmetric density, mass lesion, structural distortion, and intramammary and axillary lymph nodes were then assessed and scored as present or absent. Calcifications were classified as macro or micro (<0.5 mm) regardless of their morphological properties and distribution patterns. Asymmetric density included both focal and regional asymmetric density detected in either or both views. Densities with a three-dimensional structure and observed in both views were defined as mass. Structural distortion was defined as shrinkage withdrawal without mass. Centrically radiolucent lymph nodes with regular margins and oval-shaped nodular opacities were classified as intramammary (present in the breast parenchyma) or axillary (present in the axillary region).
Parenchyma pattern of mammograms and BIRADS classification
Intraobserver concordance assessment
İntramammary Lymph Nodes
Axillary Lymph Nodes
Significant differences between the image types
(b) Grayscale inverted
(c) Std + Gsi
(b) Grayscale inverted
(c) Std + Gsi
Intramammary Lymph Nodes
(b) Grayscale inverted
(c) Std + Gsi
Insignificant differences between the image types
Std + Gsi
Std + Gsi
Std + Gsi
Std + Gsi
Axillary Lymph Node
Std + Gsi
Among the three assessment methods, a significant difference was observed in the detection of macrocalcification. In std + gsi images more macrocalcification (93 images) were detected than in standard images (84 images) (Cochran’s Q = 8.375, p = 0.015). There was also a significant difference in microcalcification detection among the methods. Multiple comparisons between the methods showed that microcalcification was more often observed in grayscale inverted (53 images) and std + gsi images (81 images) than in standard images (31 images). Moreover, microcalcification was the most often observed in std + gsi images (81 images) (Cochran’s Q = 68.509, p < 0.001). Lastly, there was a significant difference in the detection of intramammary lymph nodes among the 3 assessment methods. In std + gsi images more intramammary lymph nodes (59 images) were detected than in standard images (49 images) (Cochran’s Q =6.461, p = 0.039).
In Turkey, yearly mammographic scanning beginning at 40 years of age is recommended . The double-reading system is preferred as it decreases the false-negative rate in scanning mammograms. In previous studies, this system increased breast cancer detection rates by 4–15% [5, 9] and better detected small breast cancers owing to its relatively high sensitivity . However, the double-reading system is impractical because it increases the cost of the mammogram and requires two readers. Moreover, it has been shown to decrease the positive estimation value and increase the recall rate and the patient’s anxiety level .
The CAD system is an alternative to the double-reading system, especially in busy centers . The CAD system directs the radiologist’s attention to suspicious regions, thereby aiding detection of the lesion  Although the CAD system has existed for 10 years, its additive contribution to routine scanning is controversial . In the study by Fiona et al., the double-reading system and CAD system had similar detection rates . However, another study suggested that the CAD system improved diagnostic performance and reduced assessment time . An additional benefit of the CAD system is its capacity to detect microcalcification even when used by radiologists with little experience [15, 16].
Mammographic sensitivity is lowest during the premenopausal period, at which time the fibroglandular tissue is especially dense. In this situation, digital mammography more efficiently detects lesions than does conventional mammography . Digital mammography can also process the data in various formats because its image forming and display phases are different.
We assessed the usefulness of grayscale inverted images for detecting mammary abnormalities using digital mammography facilities when double reading or CAD system is not feasible. To our knowledge, there are previous studies in the medical literature that has performed such an assessment [18–20]. But we have not found a study on mammograms. Including grayscale inverted images in mammogram assessments is not routine; however, it is not a difficult application (standard images can be converted to grayscale inverted images by the touch of a button in digital systems). However, evaluation of the negative image, as well as the standard image, somewhat prolongs the assessment time.
Our study did not examine the distribution pattern, number, or morphological properties of microcalcifications except for their size. Therefore, were unable to categorize them as benign, suspicious, or malignant. An advantage of grayscale inverted images for detection of microcalcification is that black spots indicative of microcalcification are easily seen and taken attention on white backgrounds and graphs. By altering the perception of the reader, even a single white spot not apparent on a standard image becomes readily recognizable as a black spot on a negative image.
Additionally, intramammary lymph nodes were also easier to identify on grayscale inverted images than on standard images, which increases diagnostic and detection rates. We could readily detect the characteristic small fatty hilum of intramammary lymph nodes on negative images. However, grayscale inverted images provided no advantage in terms of detecting axillary lymph nodes, even though they also have a fatty hilum. In our opinion, this may be explained by the fact that the axillary lymph node hilum is large and therefore apparent on both negative and standard images. Evaluation of grayscale inverted images in addition to standard images aids diagnosis owing to the ease of detecting the small white fatty hila of intramammary lymph nodes, which appear as bean-shaped, darkly colored masses.
The limitations of our study are the small number of cases and the performance of the assessments by a single radiologist.
In our study, assessment of grayscale inverted images, compared with standard images, improved detection of microcalcifications and intramammary lymph nodes. We believe that this finding is important because microcalcification is a strong indicator of benign or malignant lesions. Hence, we recommend the use of grayscale inverted images for evaluating microcalcification.
Assessment of grayscale inverted images in addition to standard images improves mammographic evaluation and facilitates the detection of small but crucial signs of breast cancer such as microcalcification. Therefore, assessment of grayscale inverted images can be practicable especially in busy centers.
American College of Radiology
Breast Imaging Reporting and Data System
- Std + Gsi:
Standard plus grayscale inverted image
This study was not funded by any organization.
Availability of data and materials
The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.
AA planned the study, and participated in its design and coordination and collected of data and drafted the manuscript. KK performed the statistical analysis and tables and interpreted the data. All the authors read and approved the final version of the manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
The study was approved by the Ethics Committee of the Faculty of Medicine, Necmettin Erbakan University. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. The Ethics committee waived the need for consent because it is a retrospective study.
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