Quality Controls in Digital Mammography protocol of the EFOMP Mammo Working group

Gennaro, Gisella; Avramova-Cholakova, S.; Azzalini, Andrea; Chapel, Maria Luisa; Chevalier, M.; Ciraj, Olivera; Gala, Hugo de las Heras; Gershan, Vesna; Hemdal, Bengt; Keavey, Elizabeth; Lanconelli, Nico; Menhart, S.; Fartaria, Mário João; Pascoal, Ana; Pedersen, Kristin; Rivetti, Stefano; Rossetti, V.; Semturs, Friedrich; Sharp, P.; Torresin, A.

doi:10.1016/j.ejmp.2018.03.016

Cited by 20 publications

(19 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The ED was calculated by multiplying the tube output previously measured by the exposure (mAs) value selected by the AEC, adjusting the resulting value for the source-to-phantom-entrance distance. Then, the CNR, i.e., the absolute difference between the mean signal measured within the aluminum square and the mean signal measured in the PMMA background surrounding the aluminum square divided by the noise in the PMMA background [ 18 ], was measured from phantom images using ImageJ2 [ 19 ]. The detector performance was determined by exposing a standard PMMA phantom 45 mm thick in manual exposure mode, using the same X-ray spectra used by the AEC for this object thickness level, while selecting increasing exposure (mAs) values to cover the full clinical exposure range.…”

Section: Methodsmentioning

confidence: 99%

Radiation Dose of Contrast-Enhanced Mammography: A Two-Center Prospective Comparison

Gennaro

Cozzi

Schiaffino

et al. 2022

Cancers

Self Cite

View full text Add to dashboard Cite

The radiation dose associated with contrast-enhanced mammography (CEM) has been investigated only by single-center studies. In this retrospective study, we aimed to compare the radiation dose between two centers performing CEM within two prospective studies, using the same type of equipment. The CEM mean glandular dose (MGD) was computed for low energy (LE) and high energy (HE) images and their sum was calculated for each view. MGD and related parameters (entrance dose, breast thickness, compression, and density) were compared between the two centers using the Mann–Whitney test. Finally, per-patient MGD was calculated by pooling the two datasets and determining the contribution of LE and HE images. A total of 348 CEM examinations were analyzed (228 from Center 1 and 120 from Center 2). The median total MGD per view was 2.33 mGy (interquartile range 2.19–2.51 mGy) at Center 1 and 2.46 mGy (interquartile range 2.32–2.70 mGy) at Center 2, with a 0.15 mGy median difference (p < 0.001) equal to 6.2%. LE-images contributed between 64% and 77% to the total patient dose in CEM, with the remaining 23–36% being associated with HE images. The mean radiation dose for a two-view bilateral CEM exam was 4.90 mGy, about 30% higher than for digital mammography.

show abstract

Section: Methodsmentioning

confidence: 99%

Radiation Dose of Contrast-Enhanced Mammography: A Two-Center Prospective Comparison

Gennaro

Cozzi

Schiaffino

et al. 2022

Cancers

Self Cite

View full text Add to dashboard Cite

show abstract

“…11. The choice of = f f d ( ) in (5) ensures that the number of signal pixels taken for the observer scales with d 2 , i.e., that it is proportional to the overall number of signal pixels and that the AUC remains unaffected if several images are merged, i.e. n 1 is enlarged.…”

Section: Proposed Alternativementioning

confidence: 99%

“…In mammography image quality assessment one distinguishes between technical image quality and clinical image quality (e.g. [5]). The former applies to the raw images, while the latter is based on clinical images presented to radiologists.…”

Section: Introductionmentioning

confidence: 99%

Determination of contrast-detail curves in mammography image quality assessment by a parametric model observer

et al. 2019

View full text Add to dashboard Cite

A novel approach is proposed for the determination of contrast-detail curves in mammography image quality assessment. The approach is compared with current practice using virtual mammography.A binary parametric model observer is applied to images of the CDMAM phantom. The observer accounts for the simple disc shaped objects in the phantom and is applied separately to each cell of the phantom. For each of these applications, the area under the ROC curve (AUC) of the model observer is determined. The different AUCs, calculated from different applications of the parametric model observer, are then combined to a single contrastdetail curve quantifying the ability of the observer to detect details in the images. Virtual mammography is developed as a tool to simulate X-ray images of single CDMAM cells and to quantitatively assess the approach in comparison with current practice.It is shown that the proposed approach can lead to similar contrast-detail curves as current practice. The precision of the estimated contrast-detail curves is increased, i.e. using 5 images yields about the same precision for the proposed approach as 16 images when applying current practice.We conclude that contrast-detail curves in mammography image quality assessment can also be determined through the AUC of a binary parametric model observer. Since the proposed approach has higher precision than current practice, it is a promising candidate for contrast-detail analysis in mammography image quality assessment.

show abstract

“…Quality Control (QC) tests are conducted to ensure the equipment operates optimally. Technology digitization prompted changes in QC protocols and tests that were more specific to each producer [2]. No exception in any country; special QC tests must comply with applicable regulations and requirements.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of in-house phantoms for mammography accreditation with various 3D printer filaments

Celina,

Gani,

Endarko

2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

One of the routine activities in the mammography modality is image quality testing using the American College of Radiology (ACR) accreditation phantom, approved by the Mammography Quality Standards Act (MQSA). ACR has approved the CIRS Model 015 for use in the Mammography Accreditation Program. However, because the price of this phantom can be reasonably high, not all hospitals have it. This study aims to fabricate the ACR CIRS model 015 phantom with various 3D printer filaments and compare it with the ACR phantom standard. Phantom was designed by depicting small structures similar to those found clinically to test the capabilities of quantitatively evaluated mammographic imaging systems. The designed in-house phantom consists of fibers, microcalcifications or specks, and masses to simulate tumors. Polylactic Acid (PLA) and Polyvinyl Alcohol (PVA) were used to fabricate in-house phantoms. Meanwhile, the fibers and specks were filled with nylon fiber and Al2CO3. The phantom was designed using the CATIA 3D design based on the CIRS phantom mammography accreditation model 015. The diameter of the specks was printed with the 3D printer in various sizes of 1, 0.9, 0.8, 0.7, and 0.6 mm, respectively. The fabricated phantom was irradiated three times to maintain accuracy using mammography type Siemens Mammomat Inspiration with serial number control 11238. The assessment was conducted with manual irradiation mode at a voltage of 28 kV, 100 mAs, target/filter W/Rh, and a compression rate of 50 N. The all-fabricated phantoms met the ACR standard phantom for fiber, and mass detection with the best result was achieved for the second material with six fibers, four specks, and five masses. The fabricated phantom can potentially be used for image quality control for mammography systems in determining the early detection of breast cancer.

show abstract

Quality Controls in Digital Mammography protocol of the EFOMP Mammo Working group

Cited by 20 publications

References 22 publications

Radiation Dose of Contrast-Enhanced Mammography: A Two-Center Prospective Comparison

Radiation Dose of Contrast-Enhanced Mammography: A Two-Center Prospective Comparison

Determination of contrast-detail curves in mammography image quality assessment by a parametric model observer

Evaluation of in-house phantoms for mammography accreditation with various 3D printer filaments

Contact Info

Product

Resources

About