Massimiliano Porzio

@article{DALMONTE2024103300,

title = {Typical values of z-resolution for different Digital Breast Tomosynthesis systems evaluated in a multicenter study},

author = {S. Dalmonte and P. Golinelli and N. Oberhofer and S. Strocchi and V. Rossetti and L. Berta and M. Porzio and L. Angelini and N. Paruccini and R. Villa and M. Bertolini and S. Delle Canne and M. Cavallari and L. D'Ercole and G. Guerra and R. Rosasco and B. Cannillo and A. D'Alessio and E. Di Nicola and D. Origgi and P. De Marco and A. Maldera and C. Scabbio and F. Rottoli and R. Castriconi and E. Lorenzini and G. Pasquali and F. Pietrobon and P. Bregant and G. Giovannini and V. Favuzza and A. Bruschi and D. D'Urso and D. Maestri and S. De Novellis and A. Fracassi and L. Boschiroli and M. Quattrocchi and M. A. Gilio and E. Roberto and L. Altabella and G. Califano and M. C. Cimmino and E. Bortoli and E. Deiana and L. Pagan and P. Berardi and V. Ardu and R. Azzeroni and M. Campoleoni and V. Ravaglia},

url = {https://www.sciencedirect.com/science/article/pii/S1120179724000942},

doi = {https://doi.org/10.1016/j.ejmp.2024.103300},

issn = {1120-1797},

year  = {2024},

date = {2024-01-01},

journal = {Physica Medica},

volume = {119},

pages = {103300},

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.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AIFM2023,

title = {IMAGE QUALITY FOR DIGITAL BREAST TOMOSYNTHESIS (DBT): A STATISTICAL LOW CONTRAST DETAIL APPROACH FOR SYNTHESIZED AND RECONSTRUCTED PLANES},

author = {M. Porzio and V. Ardu},

url = {http://dx.doi.org/10.1016/j.ejmp.2023.102846},

doi = {10.1016/j.ejmp.2023.102846},

issn = {1120-1797},

year  = {2023},

date = {2023-11-01},

journal = {Physica Medica},

volume = {115},

pages = {102846},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Rembado2023,

title = {SAFETY, HEALTH AND DATA MANAGEMENT IN MRI},

author = {D. Rembado and L. Zilberti and U. Zanovello and G. Firullo and M. Caramella and A. Arduino and M. Porzio and L. Gentile},

url = {http://dx.doi.org/10.1016/j.ejmp.2023.102854},

doi = {10.1016/j.ejmp.2023.102854},

issn = {1120-1797},

year  = {2023},

date = {2023-11-01},

journal = {Physica Medica},

volume = {115},

pages = {102854},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ECMP_DIY22,

title = {FULLY AUTOMATED REMOTE QUALITY CONTROLS FOR RADIOLOGY EQUIPMENTS FOLLOWING IAEA HUMAN HEALTH SERIES NO. 39},

author = {Massimiliano Porzio},

url = {https://doi.org/10.1016/s1120-1797(22)02569-8},

doi = {10.1016/s1120-1797(22)02569-8},

year  = {2022},

date = {2022-12-01},

journal = {Physica Medica},

volume = {104},

pages = {S186},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ECMP22,

title = {EXPOSURE INDEX MONITORING: A FIRST EXPERIENCE IN THE OPTIMIZATION PROCESS},

author = {Massimiliano Porzio and Daniela Rembado and Luca Gentile},

url = {https://doi.org/10.1016/s1120-1797(22)02465-6},

doi = {10.1016/s1120-1797(22)02465-6},

year  = {2022},

date = {2022-12-01},

journal = {Physica Medica},

volume = {104},

pages = {S146},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Porzio22,

title = {Real-time fully automated dosimetric computation for CT images in the clinical workflow: A feasibility study},

author = {Massimiliano Porzio and Choirul Anam},

editor = {Jose Eduardo Villarreal Barajas},

url = {https://www.frontiersin.org/articles/10.3389/fonc.2022.798460},

doi = {10.3389/fonc.2022.798460},

issn = {2234-943X},

year  = {2022},

date = {2022-08-11},

urldate = {2022-08-11},

journal = {Frontiers in Oncology},

volume = {12},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Porzio2022,

title = {Real-time fully automated dosimetric computation for CT images in the clinical workflow: A feasibility study},

author = {Massimiliano Porzio and Choirul Anam},

url = {https://www.frontiersin.org/articles/10.3389/fonc.2022.798460},

doi = {10.3389/fonc.2022.798460},

issn = {2234-943X},

year  = {2022},

date = {2022-08-11},

journal = {Frontiers in Oncology},

volume = {12},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{https://doi.org/10.26044/ecr2022/c-10723,

title = {ADC ratio and tumor contact length with the capsule as predictors of extracapsular extension of prostate cancer on multiparametric MRI.},

author = {Lorenzo Vassallo and Mirella Fasciano and Massimiliano Porzio},

url = {https://epos.myesr.org/esr/poster/10.26044/ecr2022/C-10723},

doi = {10.26044/ECR2022/C-10723},

year  = {2022},

date = {2022-01-01},

publisher = {European Congress of Radiology},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ECR22,

title = {ADC ratio and tumor contact length with the capsule as predictors of extracapsular extension of prostate cancer on multiparametric MRI.},

author = {Lorenzo Vassallo and Mirella Fasciano and Massimiliano Porzio},

url = {https://epos.myesr.org/esr/poster/10.26044/ecr2022/C-10723},

doi = {10.26044/ECR2022/C-10723},

year  = {2022},

date = {2022-01-01},

publisher = {European Congress of Radiology},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Photon2021,

title = {Photon counting as a valuable technology for breast screening: low glandular doses and good image quality},

author = {M. Porzio and D. Rembado and L. Gentile},

url = {https://doi.org/10.1016/s1120-1797(22)00485-9},

doi = {10.1016/s1120-1797(22)00485-9},

year  = {2021},

date = {2021-12-01},

journal = {Physica Medica},

volume = {92},

pages = {S225–S226},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{SSDE2021,

title = {Fully automated water-equivalent diameter and SSDE computation for CT image in clinical workflow},

author = {M. Porzio and L. Gentile},

url = {https://doi.org/10.1016/s1120-1797(22)00486-0},

doi = {10.1016/s1120-1797(22)00486-0},

year  = {2021},

date = {2021-12-01},

journal = {Physica Medica},

volume = {92},

pages = {S226},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Porzio2021,

title = {MAMMO_QC: Free software for quality control (QC) analysis in digital mammography and digital breast tomosynthesis compliant with the European guidelines and EUREF/EFOMP protocols},

author = {Massimiliano Porzio and Anastasios C Konstantinidis},

url = {https://doi.org/10.1088/2057-1976/ac2076},

doi = {10.1088/2057-1976/ac2076},

year  = {2021},

date = {2021-10-01},

urldate = {2021-10-01},

journal = {Biomedical Physics & Engineering Express},

volume = {7},

number = {6},

pages = {067004},

publisher = {IOP Publishing},

abstract = {Quality Control (QC) tests in mammography are very important, since mammograms have been used as a population-based screening test for more than 30 years and QCs lead to better image quality and radiation safety for patients. European guidelines, EUREF and EFOMP protocols provide comprehensive QC guidelines for digital mammography (DM) and digital breast tomosynthesis (DBT) units, respectively. We developed a novel, fast, free and platform independent software (named MAMMO_QC) for QC performance tests in DM and tomosynthesis, based on the aforementioned guidelines. MAMMO_QC consists of a series of ImageJ plugins for DM and DBT. It does not require any programming knowledge and can be used to evaluate several performance parameters, such as pre-sampled modulation transfer function (pMTF), normalised noise power spectrum (NNPS), detective quantum efficiency (DQE), contrast-detail analysis based on the CDMAM 3.4 and 4.0 test tools, homogeneity and artefacts, automatic exposure control (AEC) performance. The user can use MAMMO_QC for acceptance, commissioning and routine QC performance analysis based on the European guidelines. We validated our results against well-established software products used in mammography and DBT (i.e., COQ, OBJ_IQ_reduced and Artinis CDMAM Analyzer). All the average relative differences were within 5.5%, and several years of usage and testing allows us to consider MAMMO_QC as an accurate and reliable tool for QC on DM and DBT systems. Our developed software for DM and DBT computes almost all the parameters stated in the European, EUREF and EFOMP guidelines. To the best of our knowledge, no such software has been developed so far.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AVANZO2021221,

title = {Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy},

author = {Michele Avanzo and Massimiliano Porzio and Leda Lorenzon and Lisa Milan and Roberto Sghedoni and Giorgio Russo and Raffaella Massafra and Annarita Fanizzi and Andrea Barucci and Veronica Ardu and Marco Branchini and Marco Giannelli and Elena Gallio and Savino Cilla and Sabina Tangaro and Angela Lombardi and Giovanni Pirrone and Elena De Martin and Alessia Giuliano and Gina Belmonte and Serenella Russo and Osvaldo Rampado and Giovanni Mettivier},

url = {https://www.sciencedirect.com/science/article/pii/S1120179721001678},

doi = {https://doi.org/10.1016/j.ejmp.2021.04.010},

issn = {1120-1797},

year  = {2021},

date = {2021-01-01},

journal = {Physica Medica},

volume = {83},

pages = {221-241},

abstract = {Purpose 

To perform a systematic review on the research on the application of artificial intelligence (AI) to imaging published in Italy and identify its fields of application, methods and results. 

Materials and Methods 

A Pubmed search was conducted using terms Artificial Intelligence, Machine Learning, Deep learning, imaging, and Italy as affiliation, excluding reviews and papers outside time interval 2015–2020. In a second phase, participants of the working group AI4MP on Artificial Intelligence of the Italian Association of Physics in Medicine (AIFM) searched for papers on AI in imaging. 

Results 

The Pubmed search produced 794 results. 168 studies were selected, of which 122 were from Pubmed search and 46 from the working group. The most used imaging modality was MRI (44%) followed by CT(12%) ad radiography/mammography (11%). The most common clinical indication were neurological diseases (29%) and diagnosis of cancer (25%). Classification was the most common task for AI (57%) followed by segmentation (16%). 65% of studies used machine learning and 35% used deep learning. We observed a rapid increase of research in Italy on artificial intelligence in the last 5 years, peaking at 155% from 2018 to 2019. 

Conclusions 

We are witnessing an unprecedented interest in AI applied to imaging in Italy, in a diversity of fields and imaging techniques. Further initiatives are needed to build common frameworks and databases, collaborations among different types of institutions, and guidelines for research on AI.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Zucchi2018,

title = {277. A software toolset for quality control in digital mammography and DBT},

author = {E. Zucchi and M. Porzio and G. Mon and F. Coloberti},

url = {https://doi.org/10.1016/j.ejmp.2018.04.288},

doi = {10.1016/j.ejmp.2018.04.288},

year  = {2018},

date = {2018-12-01},

journal = {Physica Medica},

volume = {56},

pages = {232},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Zucchi2018b,

title = {278. Scatter correction software for grid-less acquisition in digital mammography – Statistical approach on a visual grading phantom study},

author = {E. Zucchi and M. Porzio and G. Mon and F. Coloberti},

url = {https://doi.org/10.1016/j.ejmp.2018.04.287},

doi = {10.1016/j.ejmp.2018.04.287},

year  = {2018},

date = {2018-12-01},

journal = {Physica Medica},

volume = {56},

pages = {232–233},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Porzio2016,

title = {Iterative method for CT system: Dose reduction and quantitative analysis of image quality improvement},

author = {M. Porzio and F. Coloberti and E. Zucchi},

url = {https://doi.org/10.1016/j.ejmp.2016.01.301},

doi = {10.1016/j.ejmp.2016.01.301},

year  = {2016},

date = {2016-02-01},

journal = {Physica Medica},

volume = {32},

pages = {87–88},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{allasia2007prestospace,

title = {Prestospace publication platform: A system for searching and retrieving enriched audiovisual materials},

author = {Walter Allasia and Massimiliano Porzio and Michele Vigilante and Laurent Boch and Giorgio Dimino and Alberto Messina},

year  = {2007},

date = {2007-01-01},

journal = {I-MEDIA’07 I-SEMANTICS’07},

pages = {186},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Stasi2005,

title = {D-IMRT verification with a 2D pixel ionization chamber: dosimetric and clinical results in head and neck cancer},

author = {M Stasi and S Giordanengo and R Cirio and A Boriano and F Bourhaleb and I Cornelius and M Donetti and E Garelli and I Gomola and F Marchetto and M. Porzio and C J Sanz Freire and A Sardo and C Peroni},

url = {https://doi.org/10.1088/0031-9155/50/19/017},

doi = {10.1088/0031-9155/50/19/017},

year  = {2005},

date = {2005-09-01},

journal = {Physics in Medicine and Biology},

volume = {50},

number = {19},

pages = {4681–4694},

publisher = {IOP Publishing},

keywords = {},

pubstate = {published},

tppubtype = {article}

}