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Dalmonte S, Golinelli P, Oberhofer N, Strocchi S, Rossetti V, Berta L, Porzio M, Angelini L, Paruccini N, Villa R, Bertolini M, Delle Canne S, Cavallari M, D'Ercole L, Guerra G, Rosasco R, Cannillo B, D'Alessio A, Di Nicola E, Origgi D, De Marco P, Maldera A, Scabbio C, Rottoli F, Castriconi R, Lorenzini E, Pasquali G, Pietrobon F, Bregant P, Giovannini G, Favuzza V, Bruschi A, D'Urso D, Maestri D, De Novellis S, Fracassi A, Boschiroli L, Quattrocchi M, Gilio MA, Roberto E, Altabella L, Califano G, Cimmino MC, Bortoli E, Deiana E, Pagan L, Berardi P, Ardu V, Azzeroni R, Campoleoni M, Ravaglia V. Typical values of z-resolution for different Digital Breast Tomosynthesis systems evaluated in a multicenter study. Phys Med 2024; 119:103300. [PMID: 38325222 DOI: 10.1016/j.ejmp.2024.103300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 12/07/2023] [Accepted: 01/23/2024] [Indexed: 02/09/2024] Open
Abstract
PURPOSE The aim of the present study, conducted by a working group of the Italian Association of Medical Physics (AIFM), was to define typical z-resolution values for different digital breast tomosynthesis (DBT) models to be used as a reference for quality control (QC). Currently, there are no typical values published in internationally agreed QC protocols. METHODS To characterize the z-resolution of the DBT models, the full width at half maximum (FWHM) of the artifact spread function (ASF), a technical parameter that quantifies the signal intensity of a detail along reconstructed planes, was analyzed. Five different commercial phantoms, CIRS Model 011, CIRS Model 015, Modular DBT phantom, Pixmam 3-D, and Tomophan, were evaluated on reconstructed DBT images and 82 DBT systems (6 vendors, 9 models) in use at 39 centers in Italy were involved. RESULTS The ASF was found to be dependent on the detail size, the DBT angular acquisition range, the reconstruction algorithm and applied image processing. In particular, a progressively greater signal spread was observed as the detail size increased and the acquisition angle decreased. However, a clear correlation between signal spread and angular range width was not observed due to the different signal reconstruction and image processing strategies implemented in the algorithms developed by the vendors studied. CONCLUSIONS The analysis led to the identification of typical z-resolution values for different DBT model-phantom configurations that could be used as a reference during a QC program.
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Affiliation(s)
- S Dalmonte
- Medical Physics Specialization School, University of Bologna, Bologna, Italy; Medical Physics Unit, AUSL Romagna, Ravenna, Italy.
| | - P Golinelli
- Medical Physics Unit, Azienda USL Modena, Modena, Italy
| | | | - S Strocchi
- Medical Physics Unit, ASST dei Sette Laghi, Varese, Italy
| | - V Rossetti
- Medical Physics Unit, Città della salute e della scienza, Torino, Italy
| | - L Berta
- Medical Physics Unit, Città della salute e della scienza, Torino, Italy
| | - M Porzio
- Medical Physics Unit, ASL CN1, Cuneo, Italy
| | - L Angelini
- Medical Physics Unit, AUSL Romagna, Ravenna, Italy
| | - N Paruccini
- Medical Physics Unit, ASST Monza, Monza, Italy
| | - R Villa
- Medical Physics Unit, ASST Monza, Monza, Italy
| | - M Bertolini
- Medical Physics Unit, Azienda AUSL - IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - S Delle Canne
- Medical Physics Unit, Fatebenefratelli Isola Tiberina-Gemelli Isola, Roma, Italy
| | - M Cavallari
- Medical Physics Unit, IRCCS Fondazione Policlinico San Matteo, Pavia, Italy
| | - L D'Ercole
- Medical Physics Unit, IRCCS Fondazione Policlinico San Matteo, Pavia, Italy
| | - G Guerra
- Medical Physics Unit, Studio Associato Fisici Sanitari, Lugo, Italy
| | - R Rosasco
- Medical Physics Unit, ASL3 Sistema Sanitario Regione Liguria, Genova, Italy
| | - B Cannillo
- Medical Physics Unit, AOU Maggiore della Carità, Novara, Italy
| | - A D'Alessio
- Medical Physics Unit, AOU Maggiore della Carità, Novara, Italy
| | - E Di Nicola
- Medical Physics Unit, ASUR Marche Area Vasta3, Macerata, Italy
| | - D Origgi
- Medical Physics Unit, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - P De Marco
- Medical Physics Unit, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - A Maldera
- Medical Physics Unit, P.O. Dimiccoli - ASL BT, Barletta, Italy
| | - C Scabbio
- Medical Physics Unit, ASST Santi Paolo e Carlo - Presidio San Paolo, Milano, Italy
| | - F Rottoli
- Medical Physics Unit, ASST Santi Paolo e Carlo - Presidio San Paolo, Milano, Italy
| | - R Castriconi
- Medical Physics Unit, IRCCS Ospedale San Raffaele - Gruppo San Donato, Milano, Italy
| | - E Lorenzini
- Medical Physics Unit, Ospedale Civico di Carrara, Carrara, Italy
| | - G Pasquali
- Medical Physics Unit, ASST Bergamo Ovest, Treviglio, Italy
| | - F Pietrobon
- Medical Physics Unit, Ospedale di Belluno, Belluno, Italy
| | - P Bregant
- Medical Physics Unit, Ospedale Cattinara, Trieste, Italy
| | - G Giovannini
- Medical Physics Unit, ASL2 Ospedale Santa Corona, Pietra Ligure, Italy
| | - V Favuzza
- Medical Physics Unit, USL Toscana Centro, Empoli, Italy
| | - A Bruschi
- Medical Physics Unit, USL Toscana Centro, Empoli, Italy
| | - D D'Urso
- Medical Physics Unit, ULSS 2 Marca Trevigiana, Treviso, Italy
| | - D Maestri
- Medical Physics Unit, ULSS 2 Marca Trevigiana, Treviso, Italy
| | | | - A Fracassi
- Medical Physics Unit, ASL Pescara, Pescara, Italy
| | - L Boschiroli
- Medical Physics Unit, ASST Nord Milano, Milano, Italy
| | - M Quattrocchi
- Medical Physics Unit, Azienda Toscana Nord Ovest, Lucca, Italy
| | - M A Gilio
- Medical Physics Unit, Azienda Toscana Nord Ovest, Lucca, Italy
| | - E Roberto
- Medical Physics Unit, ASL CN2 Cuneo, Italy
| | - L Altabella
- Medical Physics Unit, AOUI VR, Verona, Italy
| | - G Califano
- Medical Physics Unit, AOR San Carlo Potenza, Potenza, Italy
| | - M C Cimmino
- Medical Physics Unit, USL Toscana sud est, Siena, Italy
| | - E Bortoli
- Medical Physics Unit, USL Toscana sud est, Grosseto, Italy
| | - E Deiana
- Medical Physics Unit, ASL Cagliari, Cagliari, Italy
| | - L Pagan
- Medical Physics Unit, Azienda USL Bologna, Bologna, Italy
| | - P Berardi
- Medical Physics Unit, Azienda USL Bologna, Bologna, Italy
| | - V Ardu
- Medical Physics Unit, Fondazione IRCCS Ca' Granda, Milano, Italy
| | - R Azzeroni
- Medical Physics Unit, Fondazione IRCCS Ca' Granda, Milano, Italy
| | - M Campoleoni
- Medical Physics Unit, Fondazione IRCCS Ca' Granda, Milano, Italy
| | - V Ravaglia
- Medical Physics Unit, AUSL Romagna, Ravenna, Italy
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Brambilla M, Cannillo B, Guzzardi G, D'Alessio A, Galbiati A, Matheoud R, Carriero A. Conversion factors for effective dose and organ doses with the air kerma area product in patients undergoing percutaneous transhepatic biliary drainage and trans arterial chemoembolization. Phys Med 2020; 72:7-15. [PMID: 32179407 DOI: 10.1016/j.ejmp.2020.03.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 02/29/2020] [Accepted: 03/01/2020] [Indexed: 10/24/2022] Open
Abstract
Conversion factors used to estimate effective (E) and organ doses (HT) from air Kerma area product (KAP) are required to estimate population doses in percutaneous transhepatic biliary drainage (PTBD) and trans arterial chemoembolization (TACE) interventional procedures. In this study, E and HT for ten critical organs/tissues, were derived in 64 PTBD and 48 TACE procedures and in 14,540 irradiation events from dosimetric, technical and geometrical information included in the radiation dose structured report using the PCXMC Monte Carlo model, and the ICRP 103 organ weighting factors. Conversion factors of: 0.13; 0.19; 0.26 and 0.32 mSv Gy-1 cm-2 were established for irradiation events characterized by a Cu filtration of 0.0; 0.1; 0.4 and 0.9 mm, respectively. While a single coefficient of conversion is not able to provide estimates of E with enough accuracy, a high agreement is obtained between E estimated through Monte Carlo methods and E estimated through E/KAP conversion factors accounting separately for the different modes of fluoroscopy and the fluorography component of the procedures. An algorithm for the estimation of effective and organ doses from KAP has been established in biliary procedures which considers the Cu filtration in the X-ray irradiation events. A similar algorithm could be easily extended to other interventional procedures and incorporated in radiation dose monitoring systems to provide dosimetric estimates automatically with enough accuracy to assess population doses.
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Affiliation(s)
- M Brambilla
- Medical Physics Department, University Hospital "Maggiore della Carità" Novara, Italy.
| | - B Cannillo
- Medical Physics Department, University Hospital "Maggiore della Carità" Novara, Italy
| | - G Guzzardi
- Radiology Department, University Hospital "Maggiore della Carità" Novara, Italy
| | - Andrea D'Alessio
- Medical Physics Department, University Hospital "Maggiore della Carità" Novara, Italy
| | - Andrea Galbiati
- Radiology Department, University Hospital "Maggiore della Carità" Novara, Italy
| | - Roberta Matheoud
- Medical Physics Department, University Hospital "Maggiore della Carità" Novara, Italy
| | - A Carriero
- Radiology Department, University Hospital "Maggiore della Carità" Novara, Italy
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Cannillo B, Ostan A, Dionisi C, Fusco G, Carriero A, Brambilla M. Variability of the discrepancy between manufacturer and measured CTDI 100 values by scanner type, acquisition parameters and phantom size. Phys Med 2018; 49:34-39. [PMID: 29866340 DOI: 10.1016/j.ejmp.2018.04.390] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Revised: 04/12/2018] [Accepted: 04/16/2018] [Indexed: 11/28/2022] Open
Abstract
According to the EU directive 2013/59, the computed tomography (CT) equipments shall be able to inform the practitioner of parameters for assessing the patient dose. The aim of this study was to measure the accuracy of the CTDI100 with respect to the values stipulated in the manufacturer manual for different manufacturers/models of CT and to assess the impact of acquisition parameters on CTDI100 accuracy. Ten CT from 4 different manufacturers were included in the study. The discrepancy with the manufacturer value CTDI100 was checked with a dosimeter with traceable calibration. Manufacturer values for the CTDI100 were derived from the equipment's manual. The impact of the kVp, CT model, primary collimation and phantom size on the discrepancy of the CTDI100, was assessed by a four-way ANOVA. All the factors had a statistically significant impact on CTDI100 discrepancy (P < 0.05). In a head to head comparison, the greater discrepancies were found on average for 80 kV (15.4 ± 10.7%), sixteen channels CT (10.3 ± 5.1%) and for thick collimations (13.2 ± 6.8%), whilst no significant differences were found between head and body phantoms. For sixteen channels CT and acquisition protocols involving the use of low kV or thick primary collimation, the discrepancies with the manufacturer value CTDI100 can be higher than 20%, which is the suspension level indicated in the EC RP N.162 Publication. This suggests the need of individual calibration of CT X-ray tubes by the manufacturers and the necessity of including this check in the quality control programs for CT.
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Affiliation(s)
- B Cannillo
- Medical Physics Department, University Hospital "Maggiore della Carità", Novara, Italy
| | - A Ostan
- Medical Physics Department, University Hospital "Maggiore della Carità", Novara, Italy
| | - C Dionisi
- Medical Physics Department, University Hospital "Maggiore della Carità", Novara, Italy
| | - G Fusco
- Medical Physics Department, University Hospital "Maggiore della Carità", Novara, Italy
| | - A Carriero
- Radiology Department, University Hospital "Maggiore della Carità", Novara, Italy
| | - M Brambilla
- Medical Physics Department, University Hospital "Maggiore della Carità", Novara, Italy.
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Brambilla M, Cannillo B, Matheoud R, Compagnone G, Rognoni A, Bongo AS, Carriero A. Conversion factors of effective and equivalent organ doses with the air kerma area product in patients undergoing coronary angiography and percutaneous coronary interventions. Phys Med 2017; 42:189-196. [PMID: 29173914 DOI: 10.1016/j.ejmp.2017.09.131] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Revised: 09/15/2017] [Accepted: 09/20/2017] [Indexed: 10/18/2022] Open
Abstract
To derive effective dose (E), organ dose (HT) and conversion factors with the air kerma area product (KAP) in coronary angiography (CA) and percutaneous coronary intervention (PCI) by the radial route, using the ICRP 103 tissue weighting factors. The study included 34 patients referred for CA and 31 for PCI. E and HT were derived from in-the-field KAP measurements using Montecarlo methods. Median KAP of 23.2 and 56.8Gycm2 and E of 6.9 and 20.0mSv were found for CA and PCI, respectively. Mean KAP and E were significantly higher in males than in females (52.4±40.0 vs 32.3±16.6Gycm2; p=0.02) and (16.8±13.6 vs 10.7±5.8mSv; p=0.04). KAP (r=0.39; p=0.001) and E (r=0.34; p=0.005) showed a significant correlation with the patient's weight. Conversion factors between KAP and E (E/KAP) were 0.30±0.04mSvGy-1cm-2 for CA and 0.33±0.05mSvGy-1cm-2 for PCI. No significant differences in the E/KAP between males and females were found (0.31±0.05 vs 0.33±0.05; p=0.08). Again, no significant correlation was found between E/KAP and patient's weight (r=0.23; p=0.07). The correlation between E and KAP was excellent for CA (r=0.99) and PCI (r=0.96). The correlation between HT and KAP ranged from r=0.87 to r=1 and from r=0.71 to r=0.98 for CA and PCI, respectively. A single factor, the total KAP, could be used for a specific acquisition protocol to reliably estimate E and HT without the need of a patient's specific analysis. Conversion factors might be installation, X-ray beam quality or protocol dependent.
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Affiliation(s)
- M Brambilla
- Medical Physics Department, University Hospital "Maggiore della Carità", Novara, Italy.
| | - B Cannillo
- Medical Physics Department, University Hospital "Maggiore della Carità", Novara, Italy
| | - R Matheoud
- Medical Physics Department, University Hospital "Maggiore della Carità", Novara, Italy
| | - G Compagnone
- Medical Physics Department, University Hospital "S. Orsola Malpighi", Bologna, Italy
| | - A Rognoni
- Cardiology Department, University Hospital "Maggiore della Carità", Novara, Italy
| | - A S Bongo
- Cardiology Department, University Hospital "Maggiore della Carità", Novara, Italy
| | - A Carriero
- Radiology Department, University Hospital "Maggiore della Carità", Novara, Italy
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