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Journal of Digital Imaging Apr 2014This study investigates the incidence of full-field digital mammographic (FFDM) artifacts with three systems at two institutions and compares the artifacts between two... (Comparative Study)
Comparative Study
This study investigates the incidence of full-field digital mammographic (FFDM) artifacts with three systems at two institutions and compares the artifacts between two detector types and two grid types. A total of 4,440 direct and 4,142 indirect FFDM images were reviewed by two radiologists, and artifacts were classified as patient related, hardware related, and software processing. The overall incidence of FFDM artifacts was 3.4% (292/8,582). Patient related artifacts (motion artifacts and skin line artifacts) were the most commonly detected types (1.7%). Underexposure among hardware related artifacts and high-density artifacts among software processing artifacts also were common (0.7 and 0.5%, respectively). These artifacts, specific to digital mammography, were more common with the direct detector type and the crossed air grid type than with the indirect type and linear grid type (p < 0.05). The most common mammographic artifacts on FFDM were patient related, which might be controlled by the instruction of a patient and technologist. Underexposure and high-density artifacts were more common with direct detector and crossed air type of grid.
Topics: Artifacts; Breast Diseases; Female; Humans; Mammography; Quality Control; Radiographic Image Enhancement; Software
PubMed: 24113845
DOI: 10.1007/s10278-013-9641-4 -
Radiology and Oncology Dec 2022The aim of the study was to compare the performance of full-field digital mammography (FFDM), digital breast tomosynthesis and a dedicated digital specimen radiography...
BACKGROUND
The aim of the study was to compare the performance of full-field digital mammography (FFDM), digital breast tomosynthesis and a dedicated digital specimen radiography system (SRS) in consecutive patients, and to compare the margin status of resected lesions versus pathological assessment.
PATIENTS AND METHODS
Resected tissue specimens from consecutive patients who underwent intraoperative breast specimen assessment following wide local excision or oncoplastic breast conservative surgery were examined by FFDM, tomosynthesis and SRS. Two independent observers retrospectively evaluated the visibility of lesions, size, margins, spiculations, calcifications and diagnostic certainty, and chose the best performing method in a blinded manner.
RESULTS
We evaluated 216 specimens from 204 patients. All target malignant lesions were removed with no tumouron-ink. One papilloma had positive microscopic margins and one patient underwent reoperation owing to extensive components. There were no significant differences in measured lesion size among the three methods. However, tomosynthesis was the most accurate modality when compared with the final pathological report. Both observers reported that tomosynthesis had significantly better lesion visibility than SRS and FFDM, which translated into a significantly greater diagnostic certainty. Tomosynthesis was superior to the other two methods in identifying spiculations and calcifications. Both observers reported that tomosynthesis was the best performing method in 76.9% of cases. The interobserver reproducibilities of lesion visibility and diagnostic certainty were high for all three methods.
CONCLUSIONS
Tomosynthesis was superior to SRS and FFDM for detecting and evaluating the target lesions, spiculations and calcifications, and was therefore more reliable for assessing complete excision of breast lesions.
Topics: Humans; Retrospective Studies; Radiographic Image Enhancement; Mammography; Calcinosis; Margins of Excision
PubMed: 36226804
DOI: 10.2478/raon-2022-0036 -
Academic Radiology Jun 2019With the growing adoption of digital breast tomosynthesis (DBT) in breast cancer screening, we compare the performance of deep learning computer-aided diagnosis on DBT... (Comparative Study)
Comparative Study
RATIONALE AND OBJECTIVES
With the growing adoption of digital breast tomosynthesis (DBT) in breast cancer screening, we compare the performance of deep learning computer-aided diagnosis on DBT images to that of conventional full-field digital mammography (FFDM).
MATERIALS AND METHODS
In this study, we retrospectively collected FFDM and DBT images of 78 biopsy-proven lesions from 76 patients. A region of interest was selected for each lesion on FFDM, synthesized 2D, and DBT key slice images. Features were extracted from each lesion using a pretrained convolutional neural network (CNN) and served as input to a support vector machine classifier trained in the task of predicting likelihood of malignancy.
RESULTS
From receiver operating characteristic (ROC) analysis of all 78 lesions, the synthesized 2D image performed best in both the cradiocaudal view (area under the ROC curve [AUC] = 0.81, SE = 0.05) and mediolateral oblique view (AUC = 0.88, SE = 0.04) in the task of lesion characterization. When cradiocaudal and mediolateral oblique data of each lesion were merged through soft voting, DBT key slice image performed best (AUC = 0.89, SE = 0.04). When only masses and architectural distortions (ARDs) were considered, DBT performed significantly better than FFDM (p = 0.024).
CONCLUSION
DBT performed significantly better than FFDM in the merged view classification of mass and ARD lesions. The increased performance suggests that the information extracted by the CNN from DBT images may be more relevant to lesion malignancy status than the information extracted from FFDM images. Therefore, this study provides supporting evidence for the efficacy of computer-aided diagnosis on DBT in the evaluation of mass and ARD lesions.
Topics: Adult; Aged; Breast; Breast Neoplasms; Female; Humans; Machine Learning; Mammography; Middle Aged; Neural Networks, Computer; ROC Curve; Radiographic Image Interpretation, Computer-Assisted; Retrospective Studies
PubMed: 30076083
DOI: 10.1016/j.acra.2018.06.019 -
Asian Pacific Journal of Cancer... 2015Sensitivity and specificity are the two most important indicators in selection of medical imaging devices for cancer screening. Breast images taken by conventional or... (Comparative Study)
Comparative Study Review
Sensitivity and specificity are the two most important indicators in selection of medical imaging devices for cancer screening. Breast images taken by conventional or digital mammography, ultrasound, MRI and optical mammography were collected from 2,143,852 patients. They were then studied and compared for sensitivity and specificity results. Optical mammography had the highest sensitivity (p<0.001 and p<0.006) except with MRI. Digital mammography had the highest specificity for breast cancer imaging. A comparison of specificity between digital mammography and optical mammography was significant (p<0.021). If two or more breast diagnostic imaging tests are requested the overall sensitivity and specificity will increase. In this literature review study patients at high-risk of breast cancer were studied beside normal or sensitive women. The image modality performance of each breast test was compared for each.
Topics: Breast Neoplasms; Comparative Effectiveness Research; Early Detection of Cancer; Female; Humans; Magnetic Resonance Imaging; Mammography; Sensitivity and Specificity; Ultrasonography, Mammary
PubMed: 26434814
DOI: 10.7314/apjcp.2015.16.15.6177 -
Canadian Association of Radiologists... Feb 2018This pictorial essay demonstrates the variable appearances of ductal carcinoma in situ on full-field digital mammography, synthesized mammography, and digital breast... (Review)
Review
This pictorial essay demonstrates the variable appearances of ductal carcinoma in situ on full-field digital mammography, synthesized mammography, and digital breast tomosynthesis. The spectrum of intercase and intracase variability suggests further refinement of reconstruction algorithms for synthesized mammography may be necessary to maximize early detection of ductal carcinoma in situ.
Topics: Algorithms; Breast; Breast Neoplasms; Carcinoma, Intraductal, Noninfiltrating; Humans; Image Processing, Computer-Assisted; Mammography; Radiographic Image Enhancement
PubMed: 28947267
DOI: 10.1016/j.carj.2017.04.005 -
European Journal of Radiology Oct 2022In X-ray breast imaging, Digital Mammography (DM) and Digital Breast Tomosynthesis (DBT), are the standard and largely used techniques, both for diagnostic and screening... (Review)
Review
In X-ray breast imaging, Digital Mammography (DM) and Digital Breast Tomosynthesis (DBT), are the standard and largely used techniques, both for diagnostic and screening purposes. Other techniques, such as dedicated Breast Computed Tomography (BCT) and Contrast Enhanced Mammography (CEM) have been developed as an alternative or a complementary technique to the established ones. The performance of these imaging techniques is being continuously assessed to improve the image quality and to reduce the radiation dose. These imaging modalities are predominantly used in the diagnostic setting to resolve incomplete or indeterminate findings detected with conventional screening examinations and could potentially be used either as an adjunct or as a primary screening tool in select populations, such as for women with dense breasts. The aim of this review is to describe the radiation dosimetry for these imaging techniques, and to compare the mean glandular dose with standard breast imaging modalities, such as DM and DBT.
Topics: Breast; Breast Density; Breast Neoplasms; Female; Humans; Mammography; Radiometry; X-Rays
PubMed: 36087425
DOI: 10.1016/j.ejrad.2022.110509 -
Journal of Applied Clinical Medical... Nov 2021Radiography remains the most widely used imaging modality throughout the world. Additionally, while it has been demonstrated that a quality control (QC) program,...
Radiography remains the most widely used imaging modality throughout the world. Additionally, while it has been demonstrated that a quality control (QC) program, especially in mammography, improves image quality, weekly technologist QC testing might be lacking even where there is clinical qualified medical physicist (CQMP) support. Therefore, the International Atomic Energy Agency (IAEA) developed simple QC phantoms that can easily be used on a regular basis (daily/weekly) for radiography and mammography. These are simple in design and use materials that are easily accessible in most parts of the world. A software application is also developed that automatically analyzes images and Digital Imaging and Communications in Medicine (DICOM) header information. It exports data to a comma-separated values (CSV) file that is read by a Microsoft Excel® spreadsheet for documentation and graphical analysis. The phantom and the software were tested in four institutions (in Costa Rica and the United States of America) both on computed radiography and direct digital mammography and radiography systems. Data were collected over a 3-year period. No corrective actions were taken on the data, but service was performed on two of the units. Results demonstrated noise that could be attributed to suboptimal placement of the phantom and incorrect data being put into the DICOM header. Preliminary evaluation of the IAEA methodology has demonstrated that it can provide meaningful QC data that are sensitive to changes in the imaging systems. Care must be taken at implementation to properly train personnel and ensure that the image data, including the DICOM header, are being correctly transmitted. The methodology gives the opportunity for a single CQMP to provide QC services even to remote sites where travel is prohibitive, and it is feasible and easy to implement.
Topics: Humans; International Agencies; Mammography; Nuclear Energy; Phantoms, Imaging; Quality Control
PubMed: 34623023
DOI: 10.1002/acm2.13431 -
AJR. American Journal of Roentgenology Dec 2006The two objectives of this study were to create an ex vivo phantom model that closely mimics human breast cancer for detection tasks and to compare the performance of... (Comparative Study)
Comparative Study
OBJECTIVE
The two objectives of this study were to create an ex vivo phantom model that closely mimics human breast cancer for detection tasks and to compare the performance of full-field digital mammography with screen-film mammography in detecting and characterizing small breast masses in a phantom with a spectrum of complex tissue backgrounds.
MATERIALS AND METHODS
Sixteen phantom breast masses of varying sizes (0.3-1.2 cm), shapes (round and irregular), and densities (high and low) were created from shaved tumor specimens and imaged using both full-field digital and screen-film mammography techniques. We created 408 detection tasks that were captured on 68 films. On each radiograph, six detection tasks were partially obscured by areas of varying breast-pattern complexity, including low (predominantly fatty), mixed (scattered fibroglandular densities and heterogeneously dense), and high (extremely dense) density patterns. Each detection task was scored using a five-point confidence scale by three mammographers. Receiver operating characteristic (ROC) curve analysis was performed to analyze differences in detection of masses between the two imaging systems, and sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were computed.
RESULTS
Full-field digital mammography showed higher area under the ROC curve than screen-film mammography for detecting masses in each breast background and performed significantly better than screen-film mammography in mixed (p = 0.010), dense (p = 0.029), and all breast backgrounds combined (p = 0.004). Full-field digital mammography was superior to screen-film mammography for characterizing round and irregular masses and low- and high-density masses.
CONCLUSION
Full-field digital mammography was significantly superior to screen-film technique for detecting and characterizing small masses in mixed and dense breast backgrounds in a phantom model.
Topics: Artifacts; Breast Neoplasms; Female; Humans; Mammography; ROC Curve; Radiographic Image Enhancement; Specimen Handling
PubMed: 17114508
DOI: 10.2214/AJR.05.0126 -
Radiology. Imaging Cancer Sep 2019To apply previously published benefit-to-risk ratio methods for mammography and molecular breast imaging (MBI) risk estimates to an expanded range of mammographic...
Comparative Benefit-to-Radiation Risk Ratio of Molecular Breast Imaging, Two-Dimensional Full-Field Digital Mammography with and without Tomosynthesis, and Synthetic Mammography with Tomosynthesis.
PURPOSE
To apply previously published benefit-to-risk ratio methods for mammography and molecular breast imaging (MBI) risk estimates to an expanded range of mammographic screening techniques, compressed breast thicknesses, and screening views.
MATERIALS AND METHODS
Only previously published estimates were used; therefore, this study was exempt from the requirement to obtain institutional review board approval. Benefit-to-risk ratios were calculated as the ratio of breast cancer deaths averted and lives lost to screening over 10-year intervals starting at age 40 years for MBI, two-dimensional (2D) full-field digital mammography (FFDM) alone, 2D FFDM with synthetic mammography, and 2D FFDM with tomosynthesis for two-, four-, and five-view screening mammography and compressed breast thicknesses of 20-29 mm, 50-59 mm, and 80-89 mm.
RESULTS
Central estimates of the benefit-to-risk ratios ranged from 3 to 179 for screening mammography and from 5 to 9 for MBI. Benefit-to-risk ratios for MBI were inferior to those for mammography for most scenarios, but MBI may be performed at an equal or superior benefit-to-risk ratio for women aged 40-59 years with a compressed breast thickness of at least 80 mm and for those undergoing mammographic screening examinations with four or five views per breast. The benefit-to-risk ratios across all ages with use of tomosynthesis plus 2D FFDM as a screening examination were 45% lower than those for tomosynthesis plus synthetic mammography.
CONCLUSION
Benefit-to-risk ratios for MBI are within the lower range of those for mammography when accounting for variation in mammography technique, compressed breast thickness, and age. Benefit-to-risk ratios of synthetic mammography plus tomosynthesis are superior to those of tomosynthesis plus 2D FFDM. Breast, Mammography, Molecular Imaging, Molecular Imaging-Cancer, Radiation Safety, Radionuclide Studies, Screening, Tomosynthesis© RSNA, 2019See also the commentary by Hruska in this issue.
Topics: Adult; Breast; Breast Neoplasms; Early Detection of Cancer; Female; Humans; Mammography; Middle Aged; Odds Ratio; Risk Assessment
PubMed: 33778669
DOI: 10.1148/rycan.2019190005 -
Zhong Nan Da Xue Xue Bao. Yi Xue Ban =... Oct 2016To explore the effect of digital breast tomosynthesis (DBT) on the classification of breast imaging-reporting and data system (BI-RADS) and its significance. Methods:...
To explore the effect of digital breast tomosynthesis (DBT) on the classification of breast imaging-reporting and data system (BI-RADS) and its significance. Methods: A total of 832 patients with breast diseases, who came from Second Clinical College of Fujian Medical University from May 2013 to November 2013, were collected. The patients were examined by double position radiography (including craniocaudol and mediolateral oblique) and COMBO mode [including DBT and full-field digital mammography (FFDM)]. Meanwhile, the results of FFDM and DBT were classified. The number of glands, the characteristics of mass and other indirect signs were compared by COMBO and FFDM modes. Paired Wilcoxon rank sum text was adopted to investigate the differences between COMBO mode and FFDM mode in the 832 patients, and receiver operator characteristic curve (ROC) was applied to analyze the 79 patients with the pathological results. Results: The patients with large amount of glands (including Class c and Class d) accounted for 87.6% in the 832 patients, while the patients with small amounts of glands (including Class a and Class b) accounted for 11.7%. In estimating the content of glands, more details about the distribution of glands were found in the COMBO mode compared with those in the FFDM mode. According to the results of paired Wilcoxon rank sum test, there was significant statistical difference in BI-RADS classcification in breast masses between the COMBO mode and the FFDM mode (P<0.05), though the overall classification of the COMBO mode is higher than that of the FFDM mode. The pathology was served as a standard to estimate the diagnostic efficiency. The area under ROC curve was 0.805 in the FFDM mode, while that in the COMBO mode was 0.941. The optimal sensibility in the COMBO mode was 82.9%, which was higher than that in the FFDM mode. However, the specificity was 93.2% in both COMBO mode and the FFDM mode. Conclusion: DBT has a high clinical significance in BI-RADS classification for breast X-ray examination.
Topics: Breast Neoplasms; Comparative Effectiveness Research; Female; Humans; Mammography; ROC Curve; Sensitivity and Specificity
PubMed: 27807331
DOI: 10.11817/j.issn.1672-7347.2016.10.011