ACR–AAPM–SIIM Practice Guideline for Determinants of Image Quality in Digital Mammography

Kanal, Kalpana M.; Krupiński, Elizabeth A.; Berns, Eric A.; Geiser, William R.; Karellas, Andrew; Mainiero, Martha B.; Martin, Melissa; Patel, Samir; Rubin, Daniel L.; Shepard, Jon; Siegel, Eliot L.; Wolfman, Judith A.; Mian, Tariq A.; Mahoney, Mary C.; Wyatt, Margaret

doi:10.1007/s10278-012-9521-3

Cited by 32 publications

(13 citation statements)

References 50 publications

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“…In addition, the guideline recommends that all images should be viewed at 1:1 or 100% size (pixel to pixel display) during image interpretation (1). The spatial resolution of 5-MP display is actually 165 mm; therefore, we have to use a magnification function to match the pixel size between the acquired image and the display in viewing minute structures such as microcalcifications and marginal characteristics of mass lesions, even with 5-MP display.…”

Section: Introductionmentioning

confidence: 97%

Detectability of BI-RADS category 3 or higher breast lesions and reading time on mammography: comparison between 5-MP and 8-MP LCD monitors

et al. 2016

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Background Five-megapixel (MP) displays are recommended as soft copy devices for digital mammogram. An 8-MP liquid crystal display (LCD) (two 4-MP displays within one display) might offer the advantage of being able to view biplane mammography more easily than the dual planes of 5-MP LCDs. Purpose To compare detectability of Breast Imaging Reporting and Data System (BI-RADS) category 3 or higher lesions and reading time on mammography between 5- MP and 8-MP LCDs. Material and Methods The mammograms of 240 breasts of 120 patients including 60 breasts with BI-RADS category 3 or higher lesions and 180 breasts with normal or category 2 lesions were enrolled. All bilateral mammograms were displayed on bifacial 5-MP LCDs or an 8-MP LCD (two 4-MP displays within one display). Six radiologists assessed 240 breasts on each display. The observations were analyzed using receiver operating characteristic (ROC) analysis. A jack-knife method was used for statistical analysis. We employed a paired t-test to determine whether any significant differences existed in the reading time between two different displays. A P value < 0.05 was considered significant. Results The mean areas under the ROC curve obtained using 5-MP and 8-MP LCDs were 0.925 and 0.915, respectively, and there was no significant difference ( P = 0.46). There was also no significant difference in the reading time between two types of displays (57.8 min. vs. 51.5 min, P = 0.39). Conclusion The detectability of BI-RADS category 3 or higher lesions and reading time using an 8-MP LCD were comparable to those using a 5-MP LCD.

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Section: Introductionmentioning

confidence: 97%

Detectability of BI-RADS category 3 or higher breast lesions and reading time on mammography: comparison between 5-MP and 8-MP LCD monitors

et al. 2016

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“…Format conversion is often used to reduce file size; however, data loss due to lossy compression schemes must be accounted for in healthcare, because it can translate to a loss in diagnostic value [6]- [8]. This is particularly true for mammography, for which "diagnostically acceptable irreversible compression" or DAIC, is a concern [9]. PACS components are designated Class II devices requiring FDA clearance [10].…”

Section: IImentioning

confidence: 99%

Digital imaging & electronic health record systems: Implementation and regulatory challenges faced by healthcare providers

Piliouras¹,

Suss²,

Yu³

2015

2015 Long Island Systems, Applications and Technology

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Electronic capture of patient records, including digital imaging, facilitates: i) collaboration and communication between providers and entities involved in patient care, ii) compilation of lifetime patient histories that are more accessible to treating physicians, and iii) aggregation of population data for evidencebased medicine and creation of decision support tools. The Medicare and Medicaid electronic health record (EHR) Incentive Programs and associated Meaningful Use (MU) requirements are a driving force in the evolution towards digitized patient recordkeeping. For the foreseeable future, MU will continue to exert pressure on EHR vendors, hospitals, and ambulatory practices to conform to increasingly stringent government reporting requirements or else face obsolescence and/or reduced fees for services. This is encouraging many practices -including radiology and digital imaging centers -that may have opted out of MU compliance in the past -to re-examine how they integrate their work flows with EHR systems and with other physicians and treatment facilities. This paper describes digital imaging technology and strategies to interface and integrate it with EHR systems and clinical work flows. A case study based on the open source electronic health record software, OpenEMR, is presented as an illustrative example of challenges integrating imaging and EHR technology across and between clinical practices. The case study demonstrates how poor EHR integration with picture archiving and communication systems (PACS) and radiology information systems (RIS) complicates and adds to the clinician work flow and reduces the diagnostic value of imaging data. EHR, PACS, and RIS vendors need to improve system interoperability and image sharing capabilities in their product offerings. Better, more complete standards are needed to enable this to happen. DICOM, HL7, IHE, and other standards are evolving to address gaps in data integration and continuity across the spectrum of health information technology used in patient care. This will alleviate burdens on healthcare professionals and information technology staff who must use and implement systems infrastructure while maintaining compliance with Meaningful Use (MU) and Health Insurance Portability and Accountability Act (HIPAA). This is essential to achieving technology's promise of optimized healthcare delivery.Keywords-medical digital imaging, Health Insurance and Portability Act (HIPAA), Meaningful Use, DICOM format, OpenEMR, electronic healthcare records (EHR) systems, picture archiving and communication systems (PACS), radiology information systems (RIS)

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“…A heavily filtered tungsten spectrum (to remove the undesirable L-characteristic radiation) results in more efficient X-ray production and a higher effective energy. 8,9 The loss in physical contrast associated with higher energy X-rays can be compensated for by increasing the detector dose, which reduces quantum noise in the image. 3 DM has greater contrast resolution than film, which in principle should lead to improved diagnostic accuracy, particularly in women with dense breasts.…”

Section: Introductionmentioning

confidence: 99%

A comparison of digital mammography detectors and emerging technology

Diffey

2015

Radiography

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ACR–AAPM–SIIM Practice Guideline for Determinants of Image Quality in Digital Mammography

Cited by 32 publications

References 50 publications

Detectability of BI-RADS category 3 or higher breast lesions and reading time on mammography: comparison between 5-MP and 8-MP LCD monitors

Detectability of BI-RADS category 3 or higher breast lesions and reading time on mammography: comparison between 5-MP and 8-MP LCD monitors

Digital imaging & electronic health record systems: Implementation and regulatory challenges faced by healthcare providers

A comparison of digital mammography detectors and emerging technology

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ACR–AAPM–SIIM Practice Guideline for Determinants of Image Quality in Digital Mammography

Cited by 32 publications

References 50 publications

Detectability of BI-RADS category 3 or higher breast lesions and reading time on mammography: comparison between 5-MP and 8-MP LCD monitors

Detectability of BI-RADS category 3 or higher breast lesions and reading time on mammography: comparison between 5-MP and 8-MP LCD monitors

Digital imaging &amp; electronic health record systems: Implementation and regulatory challenges faced by healthcare providers

A comparison of digital mammography detectors and emerging technology

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Digital imaging & electronic health record systems: Implementation and regulatory challenges faced by healthcare providers