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Sechopoulos I, Dance DR, Boone JM, Bosmans HT, Caballo M, Diaz O, van Engen R, Fedon C, Glick SJ, Hernandez AM, Hill ML, Hulme KW, Longo R, Rabin C, Sanderink WBG, Seibert JA. Joint AAPM Task Group 282/EFOMP Working Group Report: Breast dosimetry for standard and contrast-enhanced mammography and breast tomosynthesis. Med Phys 2024; 51:712-739. [PMID: 38018710 DOI: 10.1002/mp.16842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 09/26/2023] [Accepted: 11/10/2023] [Indexed: 11/30/2023] Open
Abstract
Currently, there are multiple breast dosimetry estimation methods for mammography and its variants in use throughout the world. This fact alone introduces uncertainty, since it is often impossible to distinguish which model is internally used by a specific imaging system. In addition, all current models are hampered by various limitations, in terms of overly simplified models of the breast and its composition, as well as simplistic models of the imaging system. Many of these simplifications were necessary, for the most part, due to the need to limit the computational cost of obtaining the required dose conversion coefficients decades ago, when these models were first implemented. With the advancements in computational power, and to address most of the known limitations of previous breast dosimetry methods, a new breast dosimetry method, based on new breast models, has been developed, implemented, and tested. This model, developed jointly by the American Association of Physicists in Medicine and the European Federation for Organizations of Medical Physics, is applicable to standard mammography, digital breast tomosynthesis, and their contrast-enhanced variants. In addition, it includes models of the breast in both the cranio-caudal and the medio-lateral oblique views. Special emphasis was placed on the breast and system models used being based on evidence, either by analysis of large sets of patient data or by performing measurements on imaging devices from a range of manufacturers. Due to the vast number of dose conversion coefficients resulting from the developed model, and the relative complexity of the calculations needed to apply it, a software program has been made available for download or online use, free of charge, to apply the developed breast dosimetry method. The program is available for download or it can be used directly online. A separate User's Guide is provided with the software.
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Affiliation(s)
- Ioannis Sechopoulos
- Radboud University Medical Center, Nijmegen, The Netherlands
- Dutch Expert Centre for Screening (LRCB), Nijmegen, The Netherlands
- University of Twente, Enschede, The Netherlands
| | - David R Dance
- National Co-ordinating Centre for the Physics of Mammography (NCCPM), Royal Surrey County Hospital, Guildford, UK
| | - John M Boone
- University of California, Davis, California, USA
| | | | - Marco Caballo
- Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Ruben van Engen
- Dutch Expert Centre for Screening (LRCB), Nijmegen, The Netherlands
| | - Christian Fedon
- Radboud University Medical Center (now at Nuclear Research and Consultancy Group, NRG), Nijmegen, The Netherlands
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Tseng HW, Karellas A, Vedantham S. Dedicated cone-beam breast CT: Data acquisition strategies based on projection angle-dependent normalized glandular dose coefficients. Med Phys 2023; 50:1406-1417. [PMID: 36427332 PMCID: PMC10207937 DOI: 10.1002/mp.16129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 11/13/2022] [Accepted: 11/15/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Dedicated cone-beam breast computed tomography (CBBCT) using short-scan acquisition is being actively investigated to potentially reduce the radiation dose to the breast. This would require determining the optimal x-ray source trajectory for such short-scan acquisition. PURPOSE To quantify the projection angle-dependent normalized glandular dose coefficient (D g N C T $Dg{N^{CT}}$ ) in CBBCT, referred to as angularD g N C T $Dg{N^{CT}}$ , so that the x-ray ray source trajectory that minimizes the radiation dose to the breast for short-scan acquisition can be determined. MATERIALS AND METHODS A cohort of 75 CBBCT clinical datasets was segmented and used to generate three breast models - (I) patient-specific breast with heterogeneous fibroglandular tissue distribution and real breast shape, (II) patient-specific breast shape with homogeneous tissue distribution and matched fibroglandular weight fraction, and (III) homogeneous semi-ellipsoidal breast with patient-specific breast dimensions and matched fibroglandular weight fraction, which corresponds to the breast model used in current radiation dosimetry protocols. For each clinical dataset, the angularD g N C T $Dg{N^{CT}}$ was obtained at 10 discrete angles, spaced 36° apart, for full-scan, circular, x-ray source trajectory from Monte Carlo simulations. Model III is used for validating the Monte Carlo simulation results. Models II and III are used to determine if breast shape contributes to the observed trends in angularD g N C T $Dg{N^{CT}}$ . A geometry-based theory in conjunction with center-of-mass (C O M $COM$ ) based distribution analysis is used to explain the projection angle-dependent variation in angularD g N C T $Dg{N^{CT}}$ . RESULTS The theoretical model predicted that the angularD g N C T $Dg{N^{CT}}$ will follow a sinusoidal pattern and the amplitude of the sinusoid increases when the center-of-mass of fibroglandular tissue (C O M f $CO{M_f}$ ) is farther from the center-of-mass of the breast (C O M b $CO{M_b}$ ). It also predicted that the angularD g N C T $Dg{N^{CT}}$ will be minimized at x-ray source positions complementary to theC O M f $CO{M_f}$ . TheC O M f $CO{M_f}$ was superior to theC O M b $CO{M_b}$ in 80% (60/75) of the breasts. From Monte Carlo simulations and for homogeneous breasts (models II and III), the deviation in breast shape from a semi-ellipsoid had minimal effect on angularD g N C T $Dg{N^{CT}}$ and showed less than 4% variation. From Monte Carlo simulations and for model I, as predicted by our theory, the angularD g N C T $Dg{N^{CT}}$ followed a sinusoidal pattern with maxima and minima at x-ray source positions superior and inferior to the breast, respectively. For model I, the projection angle-dependent variation in angularD g N C T $Dg{N^{CT}}$ was 16.4%. CONCLUSION The heterogeneous tissue distribution affected the angularD g N C T $Dg{N^{CT}}$ more than the breast shape. For model I, the angularD g N C T $Dg{N^{CT}}$ was lowest when the x-ray source was inferior to the breast. Hence, for short-scan CBBCT acquisition withC O M b $CO{M_b}$ aligned with axis-of-rotation, an x-ray source trajectory inferior to the breast is preferable and such an acquisition spanning 205° can potentially reduce the mean glandular dose by up to 52%.
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Affiliation(s)
- Hsin Wu Tseng
- Department of Medical Imaging, The University of Arizona, Tucson, AZ
| | - Andrew Karellas
- Department of Medical Imaging, The University of Arizona, Tucson, AZ
| | - Srinivasan Vedantham
- Department of Medical Imaging, The University of Arizona, Tucson, AZ
- Department of Biomedical Engineering, The University of Arizona, Tucson, AZ
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Physical and digital phantoms for 2D and 3D x-ray breast imaging: Review on the state-of-the-art and future prospects. Radiat Phys Chem Oxf Engl 1993 2022. [DOI: 10.1016/j.radphyschem.2022.110715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Sarno A, Mettivier G, Bliznakova K, Hernandez AM, Boone JM, Russo P. Comparisons of glandular breast dose between digital mammography, tomosynthesis and breast CT based on anthropomorphic patient-derived breast phantoms. Phys Med 2022; 97:50-58. [PMID: 35395535 DOI: 10.1016/j.ejmp.2022.03.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 03/17/2022] [Accepted: 03/26/2022] [Indexed: 11/30/2022] Open
Abstract
PURPOSE To evaluate the bias to the mean glandular dose (MGD) estimates introduced by the homogeneous breast models in digital breast tomosynthesis (DBT) and to have an insight into the glandular dose distributions in 2D (digital mammography, DM) and 3D (DBT and breast dedicated CT, BCT) x-ray breast imaging by employing breast models with realistic glandular tissue distribution and organ silhouette. METHODS A Monte Carlo software for DM, DBT and BCT simulations was adopted for the evaluation of glandular dose distribution in 60 computational anthropomorphic phantoms. These computational phantoms were derived from 3D breast images acquired via a clinical BCT scanner. RESULTS g·c·s·T conversion coefficients based on homogeneous breast model led to a MGD overestimate of 18% in DBT when compared to MGD estimated via anthropomorphic phantoms; this overestimate increased up to 21% for recently computed DgNDBT conversion coefficients. The standard deviation of the glandular dose distribution in BCT resulted 60% lower than in DM and 55% lower than in DBT. The glandular dose peak - evaluated as the average value over the 5% of the gland receiving the highest dose - is 2.8 times the MGD in DM, this factor reducing to 2.6 and 1.6 in DBT and BCT, respectively. CONCLUSIONS Conventional conversion coefficients for MGD estimates based on homogeneous breast models overestimate MGD by 18%, when compared to MGD estimated via anthropomorphic phantoms. The ratio between the peak glandular dose and the MGD is 2.8 in DM. This ratio is 8% and 75% higher than in DBT and BCT, respectively.
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Affiliation(s)
- Antonio Sarno
- University of Naples Federico II, Dept. of Physics "Ettore Pancini", Naples, Italy; INFN Division of Naples, Naples, Italy.
| | - Giovanni Mettivier
- University of Naples Federico II, Dept. of Physics "Ettore Pancini", Naples, Italy; INFN Division of Naples, Naples, Italy
| | | | | | - John M Boone
- University of California Davis Medical Center, Sacramento, CA, USA
| | - Paolo Russo
- University of Naples Federico II, Dept. of Physics "Ettore Pancini", Naples, Italy; INFN Division of Naples, Naples, Italy
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Gotanda T, Katsuda T, Yatake H, Kawaji Y, Gotanda R, Imai S, Akagawa T, Sasaki M. THREE-DIMENSIONAL DOSIMETRY OF MAMMOGRAPHY USING A BLOCK CUBE BREAST PHANTOM AND RADIOCHROMIC FILM. RADIATION PROTECTION DOSIMETRY 2021; 196:226-233. [PMID: 34668552 DOI: 10.1093/rpd/ncab153] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 09/16/2021] [Accepted: 09/23/2021] [Indexed: 06/13/2023]
Abstract
This study developed a phantom with a shape similar to that of the breast and use GAFCHROMIC films that can be placed inside the phantom to measure the detailed breast dose distribution in mammography. GAFCHROMIC EBT3 was placed on the block cube breast phantom and irradiated with a mammography device to measure the absorbed dose distribution inside the phantom in the horizontal and depth directions. The dose distribution in the horizontal plane was the highest in the centre on the chest wall side, and it decreased in a fan shape. Along the depth of the phantom, the doses absorbed across the entire cross-section were 16.15 mGy at the surface and 7.51, 3.25 and 1.68 mGy at depths of 10, 20 and 30 mm, respectively. Compared with the mean glandular dose, the proposed method can measure breast dose distributions in greater detail and is applicable to various breast shapes.
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Affiliation(s)
- Tatsuhiro Gotanda
- Department of Radiological Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, Okayama, Japan
| | - Toshizo Katsuda
- Medical Radiation Technology, Shizuoka College of Medical Care Science, Shizuoka, Japan
| | - Hidetoshi Yatake
- Department of Breast Cancer Center, Kaizuka City Hospital, Osaka, Japan
| | - Yasuyuki Kawaji
- Department of Radiological Science, Faculty of Health Science, Junshin Gakuen University, Fukuoka, Japan
| | - Rumi Gotanda
- Department of Radiological Technology, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, Okayama, Japan
| | - Shinya Imai
- Department of Radiological Science, Faculty of Health Science, Morinomiya University of Medical Sciences, Osaka, Japan
| | - Takuya Akagawa
- Department of Radiological Technology, Tokushima Red Cross Hospital, Tokushima, Japan
| | - Masashi Sasaki
- Department of Radiological Technology, Faculty of Health Sciences, Butsuryo College of Osaka, Osaka, Japan
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Sarno A, Mettivier G, di Franco F, Varallo A, Bliznakova K, Hernandez AM, Boone JM, Russo P. Dataset of patient-derived digital breast phantoms for in silico studies in breast computed tomography, digital breast tomosynthesis, and digital mammography. Med Phys 2021; 48:2682-2693. [PMID: 33683711 DOI: 10.1002/mp.14826] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 02/22/2021] [Accepted: 02/28/2021] [Indexed: 01/10/2023] Open
Abstract
PURPOSE To present a dataset of computational digital breast phantoms derived from high-resolution three-dimensional (3D) clinical breast images for the use in virtual clinical trials in two-dimensional (2D) and 3D x-ray breast imaging. ACQUISITION AND VALIDATION METHODS Uncompressed computational breast phantoms for investigations in dedicated breast CT (BCT) were derived from 150 clinical 3D breast images acquired via a BCT scanner at UC Davis (California, USA). Each image voxel was classified in one out of the four main materials presented in the field of view: fibroglandular tissue, adipose tissue, skin tissue, and air. For the image classification, a semi-automatic software was developed. The semi-automatic classification was compared via manual glandular classification performed by two researchers. A total of 60 compressed computational phantoms for virtual clinical trials in digital mammography (DM) and digital breast tomosynthesis (DBT) were obtained from the corresponding uncompressed phantoms via a software algorithm simulating the compression and the elastic deformation of the breast, using the tissue's elastic coefficient. This process was evaluated in terms of glandular fraction modification introduced by the compression procedure. The generated cohort of 150 uncompressed computational breast phantoms presented a mean value of the glandular fraction by mass of 12.3%; the average diameter of the breast evaluated at the center of mass was 105 mm. Despite the slight differences between the two manual segmentations, the resulting glandular tissue segmentation did not consistently differ from that obtained via the semi-automatic classification. The difference between the glandular fraction by mass before and after the compression was 2.1% on average. The 60 compressed phantoms presented an average glandular fraction by mass of 12.1% and an average compressed thickness of 61 mm. DATA FORMAT AND ACCESS The generated digital breast phantoms are stored in DICOM files. Image voxels can present one out of four values representing the different classified materials: 0 for the air, 1 for the adipose tissue, 2 for the glandular tissue, and 3 for the skin tissue. The generated computational phantoms datasets were stored in the Zenodo public repository for research purposes (http://doi.org/10.5281/zenodo.4529852, http://doi.org/10.5281/zenodo.4515360). POTENTIAL APPLICATIONS The dataset developed within the INFN AGATA project will be used for developing a platform for virtual clinical trials in x-ray breast imaging and dosimetry. In addition, they will represent a valid support for introducing new breast models for dose estimates in 2D and 3D x-ray breast imaging and as models for manufacturing anthropomorphic physical phantoms.
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Affiliation(s)
| | - Giovanni Mettivier
- INFN Sezione di Napoli, Naples, Italy.,Dipartimento di Fisica "Ettore Pancini", Università di Napoli Federico II, Naples, Italy
| | - Francesca di Franco
- INFN Sezione di Napoli, Naples, Italy.,Dipartimento di Fisica "Ettore Pancini", Università di Napoli Federico II, Naples, Italy.,Léon Bérard Cancer Center, University of Lyon & CREATiS, University of Lyon, CNRS, Lyon, France
| | - Antonio Varallo
- Dipartimento di Fisica "Ettore Pancini", Università di Napoli Federico II, Naples, Italy
| | - Kristina Bliznakova
- Department of Medical Equipment, Electronic and Information Technologies in Healthcare, Medical University of Varna, Varna, Bulgaria
| | - Andrew M Hernandez
- Department of Radiology, University of California Davis, Sacramento, CA, USA
| | - John M Boone
- Department of Radiology, University of California Davis, Sacramento, CA, USA
| | - Paolo Russo
- INFN Sezione di Napoli, Naples, Italy.,Dipartimento di Fisica "Ettore Pancini", Università di Napoli Federico II, Naples, Italy
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Sarno A, Tucciariello RM, Mettivier G, Del Sarto D, Fantacci ME, Russo P. Normalized glandular dose coefficients for digital breast tomosynthesis systems with a homogeneous breast model. Phys Med Biol 2021; 66:065024. [PMID: 33535193 DOI: 10.1088/1361-6560/abe2e9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
This work aims at calculating and releasing tabulated values of dose conversion coefficients, DgNDBT, for mean glandular dose (MGD) estimates in digital breast tomosynthesis (DBT). The DgNDBT coefficients are proposed as unique conversion coefficients for MGD estimates, in place of dose conversion coefficients in mammography (DgNDM or c, g, s triad as proposed in worldwide quality assurance protocols) used together with the T correction factor. DgNDBT is the MGD per unit incident air kerma measured at the breast surface for a 0° projection and the entire tube load used for the scan. The dataset of polyenergetic DgNDBT coefficients was derived via a Monte Carlo software based on the Geant4 toolkit. Dose coefficients were calculated for a grid of values of breast characteristics (breast thickness in the range 20-90 mm and glandular fraction by mass of 1%, 25%, 50%, 75%, 100%) and the simulated geometries, scan protocols, irradiation geometries and typical spectral qualities replicated those of six commercial DBT systems (GE SenoClaire, Hologic Selenia Dimensions, GE Senographe Pristina, Fujifilm Amulet Innovality, Siemens Mammomat Inspiration and IMS Giotto Class). For given breast characteristics, target/filter combination, tube voltage and half value layer (HVL), two spectra with two HVL values have been simulated in order to permit MGD estimates from experimental HVL values via mathematical interpolation from tabulated values. The adopted breast model assumes homogenous composition of glandular and adipose tissues; it includes a 1.45 mm thick skin envelope in place of the 4-5 mm envelope commonly adopted in dosimetry protocols. The simulation code was validated versus AAPM Task group 195 Monte Carlo reference data sets (absolute differences not higher than 1.1%) and by comparison to relative dosimetry measurements with radiochromic film in a PMMA test object (differences within the maximum experimental uncertainty of 11%). The calculated coefficients show maximum relative deviations of -17.6% and +6.1% from those provided by the DBT dose coefficients adopted in the EUREF protocol and of 1.5%, on average, from data in the AAPM TG223 report. A spreadsheet is provided for interpolating the tabulated DgNDBT coefficients for arbitrary values of HVL, compressed breast thickness and glandular fraction, in the corresponding investigated ranges, for each DBT unit modeled in this work.
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Affiliation(s)
- Antonio Sarno
- Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Napoli, Napoli, Italy
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di Franco F, Sarno A, Mettivier G, Hernandez A, Bliznakova K, Boone J, Russo P. GEANT4 Monte Carlo simulations for virtual clinical trials in breast X-ray imaging: Proof of concept. Phys Med 2020; 74:133-142. [DOI: 10.1016/j.ejmp.2020.05.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 05/04/2020] [Accepted: 05/14/2020] [Indexed: 12/27/2022] Open
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Liu YL, Chang SJ, Lin FY, Chang TY, Wu J. Suborgan breast dosimetry for breast nuclear medicine imaging using anthropomorphic software breast phantoms. Radiat Phys Chem Oxf Engl 1993 2020. [DOI: 10.1016/j.radphyschem.2019.108488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Bliznakova K, Dukov N, Feradov F, Gospodinova G, Bliznakov Z, Russo P, Mettivier G, Bosmans H, Cockmartin L, Sarno A, Kostova-Lefterova D, Encheva E, Tsapaki V, Bulyashki D, Buliev I. Development of breast lesions models database. Phys Med 2019; 64:293-303. [PMID: 31387779 DOI: 10.1016/j.ejmp.2019.07.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 07/01/2019] [Accepted: 07/22/2019] [Indexed: 12/11/2022] Open
Abstract
PURPOSE We present the development and the current state of the MaXIMA Breast Lesions Models Database, which is intended to provide researchers with both segmented and mathematical computer-based breast lesion models with realistic shape. METHODS The database contains various 3D images of breast lesions of irregular shapes, collected from routine patient examinations or dedicated scientific experiments. It also contains images of simulated tumour models. In order to extract the 3D shapes of the breast cancers from patient images, an in-house segmentation algorithm was developed for the analysis of 50 tomosynthesis sets from patients diagnosed with malignant and benign lesions. In addition, computed tomography (CT) scans of three breast mastectomy cases were added, as well as five whole-body CT scans. The segmentation algorithm includes a series of image processing operations and region-growing techniques with minimal interaction from the user, with the purpose of finding and segmenting the areas of the lesion. Mathematically modelled computational breast lesions, also stored in the database, are based on the 3D random walk approach. RESULTS The MaXIMA Imaging Database currently contains 50 breast cancer models obtained by segmentation of 3D patient breast tomosynthesis images; 8 models obtained by segmentation of whole body and breast cadavers CT images; and 80 models based on a mathematical algorithm. Each record in the database is supported with relevant information. Two applications of the database are highlighted: inserting the lesions into computationally generated breast phantoms and an approach in generating mammography images with variously shaped breast lesion models from the database for evaluation purposes. Both cases demonstrate the implementation of multiple scenarios and of an unlimited number of cases, which can be used for further software modelling and investigation of breast imaging techniques. The created database interface is web-based, user friendly and is intended to be made freely accessible through internet after the completion of the MaXIMA project. CONCLUSIONS The developed database will serve as an imaging data source for researchers, working on breast diagnostic imaging and on improving early breast cancer detection techniques, using existing or newly developed imaging modalities.
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Affiliation(s)
- Kristina Bliznakova
- Laboratory of Computer Simulations in Medicine, Technical University of Varna, Varna, Bulgaria.
| | - Nikolay Dukov
- Laboratory of Computer Simulations in Medicine, Technical University of Varna, Varna, Bulgaria
| | - Firgan Feradov
- Laboratory of Computer Simulations in Medicine, Technical University of Varna, Varna, Bulgaria
| | - Galja Gospodinova
- Laboratory of Computer Simulations in Medicine, Technical University of Varna, Varna, Bulgaria
| | - Zhivko Bliznakov
- Laboratory of Computer Simulations in Medicine, Technical University of Varna, Varna, Bulgaria
| | - Paolo Russo
- Dipartimento di Fisica "Ettore Pancini", Universita' di Napoli Federico II and INFN Sezione di Napoli, Napoli, Italy
| | - Giovanni Mettivier
- Dipartimento di Fisica "Ettore Pancini", Universita' di Napoli Federico II and INFN Sezione di Napoli, Napoli, Italy
| | - Hilde Bosmans
- Department of Radiology, Katholieke University of Leuven, Leuven, Belgium
| | - Lesley Cockmartin
- Department of Radiology, Katholieke University of Leuven, Leuven, Belgium
| | - Antonio Sarno
- Dipartimento di Fisica "Ettore Pancini", Universita' di Napoli Federico II and INFN Sezione di Napoli, Napoli, Italy
| | | | - Elitsa Encheva
- Radiotherapy Department, University Hospital "St. Marina", Medical University of Varna, Varna, Bulgaria
| | - Virginia Tsapaki
- Medical Physics Department, Konstantopoulio General Hospital, Nea Ionia, Attiki, Greece
| | - Daniel Bulyashki
- Surgery Department, University Hospital "St. Marina", Medical University of Varna, Varna, Bulgaria
| | - Ivan Buliev
- Laboratory of Computer Simulations in Medicine, Technical University of Varna, Varna, Bulgaria
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Sarno A, Tucciariello RM, Mettivier G, di Franco F, Russo P. Monte Carlo calculation of monoenergetic and polyenergetic DgN coefficients for mean glandular dose estimates in mammography using a homogeneous breast model. ACTA ACUST UNITED AC 2019; 64:125012. [DOI: 10.1088/1361-6560/ab253f] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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Santos JC, Tomal A, de Barros N, Costa PR. Normalized glandular dose (DgN) coefficients from experimental mammographic x-ray spectra. ACTA ACUST UNITED AC 2019; 64:105010. [DOI: 10.1088/1361-6560/ab171a] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Esposito G, Mettivier G, Bliznakova K, Bliznakov Z, Bosmans H, Bravin A, Buliev I, Di Lillo F, Ivanov D, Minutillo M, Sarno A, Vignero J, Russo P. Investigation of the refractive index decrement of 3D printing materials for manufacturing breast phantoms for phase contrast imaging. ACTA ACUST UNITED AC 2019; 64:075008. [DOI: 10.1088/1361-6560/ab0670] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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McLean D, Ryan L, Robertson L. Analysis of patient breast dose from a mammographic biopsy unit. AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE 2019; 42:193-199. [PMID: 30707352 DOI: 10.1007/s13246-019-00729-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2018] [Accepted: 01/21/2019] [Indexed: 11/25/2022]
Abstract
Further assessment of suspicious lesions found during asymptomatic breast cancer screening is critical and involves mammographic follow up with biopsy. The X-ray procedure is complex and variable in nature and until now there is little information on the radiation dose to the breast or associated risks. A survey of radiation doses from a Siemens MammoTest prone biopsy with the support of a Sectra L30 AIR mammographic unit for workup and post clip images has been completed. Procedure details and outcomes, including radiographic and patient related variables have been collected and analysed using standard dosimetric formulation. The partial irradiation of the breast in biopsy and magnification views was considered. The average mean glandular breast dose was 5.13 mGy, comprising of 3.52 mGy from the biopsy procedure and 1.61 mGy from the workup and post clip images, with an average of 8.4 biopsy images and 5.8 workup and post clip images. The risk from these dose levels are dependent on the age of the woman, however are not considered high for a symptomatic X-ray procedure.
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Affiliation(s)
- Donald McLean
- Medical Physics and Radiation Engineering, The Canberra Hospital, PO Box 11, Woden, ACT, 2606, Australia.
| | - Lewis Ryan
- Medical Physics and Radiation Engineering, The Canberra Hospital, PO Box 11, Woden, ACT, 2606, Australia
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Normalized glandular dose coefficients in mammography, digital breast tomosynthesis and dedicated breast CT. Phys Med 2018; 55:142-148. [DOI: 10.1016/j.ejmp.2018.09.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 09/03/2018] [Accepted: 09/10/2018] [Indexed: 12/15/2022] Open
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Paixão L, Chevalier M, Hurtado-Romero AE, Garayoa J. Mean glandular dose to patients from stereotactic breast biopsy procedures. ACTA ACUST UNITED AC 2018; 63:145008. [DOI: 10.1088/1361-6560/aacb06] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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Massera RT, Tomal A. Skin models and their impact on mean glandular dose in mammography. Phys Med 2018; 51:38-47. [DOI: 10.1016/j.ejmp.2018.04.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 03/29/2018] [Accepted: 04/08/2018] [Indexed: 12/20/2022] Open
Affiliation(s)
- Rodrigo Trevisan Massera
- Instituto de Física "Gleb Wataghin", Universidade Estadual de Campinas, 13083-859 Campinas, Brazil
| | - Alessandra Tomal
- Instituto de Física "Gleb Wataghin", Universidade Estadual de Campinas, 13083-859 Campinas, Brazil.
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18
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Homogeneous vs. patient specific breast models for Monte Carlo evaluation of mean glandular dose in mammography. Phys Med 2018; 51:56-63. [DOI: 10.1016/j.ejmp.2018.04.392] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 04/05/2018] [Accepted: 04/17/2018] [Indexed: 12/15/2022] Open
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19
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Sarno A, Mettivier G, Tucciariello RM, Bliznakova K, Boone JM, Sechopoulos I, Di Lillo F, Russo P. Monte Carlo evaluation of glandular dose in cone-beam X-ray computed tomography dedicated to the breast: Homogeneous and heterogeneous breast models. Phys Med 2018; 51:99-107. [DOI: 10.1016/j.ejmp.2018.05.021] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 05/04/2018] [Accepted: 05/23/2018] [Indexed: 12/11/2022] Open
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20
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Di Lillo F, Mettivier G, Castriconi R, Sarno A, Stevenson AW, Hall CJ, Häusermann D, Russo P. Synchrotron radiation external beam rotational radiotherapy of breast cancer: proof of principle. JOURNAL OF SYNCHROTRON RADIATION 2018; 25:857-868. [PMID: 29714197 DOI: 10.1107/s1600577518003788] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2017] [Accepted: 03/05/2018] [Indexed: 06/08/2023]
Abstract
The principle of rotational summation of the absorbed dose for breast cancer treatment with orthovoltage X-ray beams was proposed by J. Boone in 2012. Here, use of X-ray synchrotron radiation for image guided external beam rotational radiotherapy treatment of breast cancer is proposed. Tumor irradiation occurs with the patient in the prone position hosted on a rotating bed, with her breast hanging from a hole in the bed, which rotates around a vertical axis passing through the tumor site. Horizontal collimation of the X-ray beam provides for whole breast or partial breast irradiation, while vertical translation of the bed and successive rotations allow for irradiation of the full tumor volume, with dose rates which permit also hypofractionated treatments. In this work, which follows a previous preliminary report, results are shown of a full series of measurements on polyethylene and acrylic cylindrical phantoms carried out at the Australian Synchrotron, confirmed by Geant4 Monte Carlo simulations, intended to demonstrate the proof of principle of the technique. Dose measurements were carried out with calibrated ion chambers, radiochromic films and thermoluminescence dosimeters. The photon energy investigated was 60 keV. Image guidance may occur with the transmitted beam for contrast-enhanced breast computed tomography. For a horizontal beam collimation of 1.5 cm and rotation around the central axis of a 14 cm-diameter polyethylene phantom, a periphery-to-center dose ratio of 14% was measured. The simulations showed that under the same conditions the dose ratio decreases with increasing photon energy down to 10% at 175 keV. These values are comparable with those achievable with conventional megavoltage radiotherapy of breast cancer with a medical linear accelerator. Dose painting was demonstrated with two off-center `cancer foci' with 1.3 Gy and 0.6 Gy target doses. The use of a radiosensitizing agent for dose enhancement is foreseen.
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Affiliation(s)
- Francesca Di Lillo
- Dipartimento di Fisica `Ettore Pancini', Università di Napoli Federico II and INFN Sezione di Napoli, Via Cinthia, Napoli I-80126, Italy
| | - Giovanni Mettivier
- Dipartimento di Fisica `Ettore Pancini', Università di Napoli Federico II and INFN Sezione di Napoli, Via Cinthia, Napoli I-80126, Italy
| | - Roberta Castriconi
- Dipartimento di Fisica `Ettore Pancini', Università di Napoli Federico II and INFN Sezione di Napoli, Via Cinthia, Napoli I-80126, Italy
| | - Antonio Sarno
- Dipartimento di Fisica `Ettore Pancini', Università di Napoli Federico II and INFN Sezione di Napoli, Via Cinthia, Napoli I-80126, Italy
| | - Andrew W Stevenson
- Australian Synchrotron, 800 Blackburn Road, Clayton, Victoria 3168, Australia
| | - Chris J Hall
- Australian Synchrotron, 800 Blackburn Road, Clayton, Victoria 3168, Australia
| | - Daniel Häusermann
- Australian Synchrotron, 800 Blackburn Road, Clayton, Victoria 3168, Australia
| | - Paolo Russo
- Dipartimento di Fisica `Ettore Pancini', Università di Napoli Federico II and INFN Sezione di Napoli, Via Cinthia, Napoli I-80126, Italy
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21
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Fedon C, Caballo M, Longo R, Trianni A, Sechopoulos I. Internal breast dosimetry in mammography: Experimental methods and Monte Carlo validation with a monoenergetic x-ray beam. Med Phys 2018; 45:1724-1737. [DOI: 10.1002/mp.12792] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Revised: 12/05/2017] [Accepted: 01/19/2018] [Indexed: 11/12/2022] Open
Affiliation(s)
- Christian Fedon
- Department of Radiology and Nuclear Medicine; Radboud University Medical Center; PO Box 9101 6500 HB Nijmegen The Netherlands
- Istituto Nazionale di Fisica Nucleare (INFN); sezione di Trieste; 34127 Trieste Italy
| | - Marco Caballo
- Department of Radiology and Nuclear Medicine; Radboud University Medical Center; PO Box 9101 6500 HB Nijmegen The Netherlands
| | - Renata Longo
- Istituto Nazionale di Fisica Nucleare (INFN); sezione di Trieste; 34127 Trieste Italy
- Dipartimento di Fisica; Università degli Studi di Trieste; 34127 Trieste Italy
| | - Annalisa Trianni
- Medical Physics Department; Azienda Sanitaria Universitaria Integrata (ASUIUD) - Presidio Ospedaliero “S. Maria della Misericordia”; p.le S. Maria della Misericordia, 15 33100 Udine Italy
| | - Ioannis Sechopoulos
- Department of Radiology and Nuclear Medicine; Radboud University Medical Center; PO Box 9101 6500 HB Nijmegen The Netherlands
- Dutch Expert Center for Screening (LRCB); PO Box 6873 6503 GJ Nijmegen The Netherlands
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