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Giorgi Rossi P, Mancuso P, Pattacini P, Campari C, Nitrosi A, Iotti V, Ponti A, Frigerio A, Correale L, Riggi E, Giordano L, Segnan N, Di Leo G, Magni V, Sardanelli F, Fornasa F, Romanucci G, Montemezzi S, Falini P, Auzzi N, Zappa M, Ottone M, Mantellini P, Duffy SW, Armaroli P, Coriani C, Pescarolo M, Stefanelli G, Tondelli G, Beretti F, Caffarri S, Marchesi V, Canovi L, Colli M, Boschini M, Bertolini M, Ragazzi M, Pattacini P, Giorgi Rossi P, Iotti V, Ginocchi V, Ravaioli S, Vacondio R, Campari C, Caroli S, Nitrosi A, Braglia L, Cavuto S, Mancuso P, Djuric O, Venturelli F, Vicentini M, Braghiroli MB, Lonetti J, Davoli E, Bonelli E, Fornasa F, Montemezzi S, Romanucci G, Lucchi I, Martello G, Rossati C, Mantellini P, Ambrogetti D, Iossa A, Carnesciali E, Mazzalupo V, Falini P, Puliti D, Zappa M, Battisti F, Auzzi N, Verdi S, Degl'Innocenti C, Tramalloni D, Cavazza E, Busoni S, Betti E, Peruzzi F, Regini F, Sardanelli F, Di Leo G, Carbonaro LA, Magni V, Cozzi A, Spinelli D, Monaco CG, Schiaffino S, Benedek A, Menicagli L, Ferraris R, Favettini E, Dettori D, Falco P, Presti P, Segnan N, Ponti A, Frigerio A, Armaroli P, Correale L, Marra V, Milanesio L, Artuso F, Di Leo A, Castellano I, Riggi E, Casella D, Pitarella S, Vergini V, Giordano L, Duffy SW, Graewingholt A, Lang K, Falcini F. Comparing accuracy of tomosynthesis plus digital mammography or synthetic 2D mammography in breast cancer screening: baseline results of the MAITA RCT consortium. Eur J Cancer 2024; 199:113553. [PMID: 38262307 DOI: 10.1016/j.ejca.2024.113553] [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] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 01/01/2024] [Accepted: 01/06/2024] [Indexed: 01/25/2024]
Abstract
AIM The analyses here reported aim to compare the screening performance of digital tomosynthesis (DBT) versus mammography (DM). METHODS MAITA is a consortium of four Italian trials, REtomo, Proteus, Impeto, and MAITA trial. The trials adopted a two-arm randomised design comparing DBT plus DM (REtomo and Proteus) or synthetic-2D (Impeto and MAITA trial) versus DM; multiple vendors were included. Women aged 45 to 69 years were individually randomised to one round of DBT or DM. FINDINGS From March 2014 to February 2022, 50,856 and 63,295 women were randomised to the DBT and DM arm, respectively. In the DBT arm, 6656 women were screened with DBT plus synthetic-2D. Recall was higher in the DBT arm (5·84% versus 4·96%), with differences between centres. With DBT, 0·8/1000 (95% CI 0·3 to 1·3) more women received surgical treatment for a benign lesion. The detection rate was 51% higher with DBT, ie. 2·6/1000 (95% CI 1·7 to 3·6) more cancers detected, with a similar relative increase for invasive cancers and ductal carcinoma in situ. The results were similar below and over the age of 50, at first and subsequent rounds, and with DBT plus DM and DBT plus synthetic-2D. No learning curve was appreciable. Detection of cancers >= 20 mm, with 2 or more positive lymph nodes, grade III, HER2-positive, or triple-negative was similar in the two arms. INTERPRETATION Results from MAITA confirm that DBT is superior to DM for the detection of cancers, with a possible increase in recall rate. DBT performance in screening should be assessed locally while waiting for long-term follow-up results on the impact of advanced cancer incidence.
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Affiliation(s)
| | | | | | - Cinzia Campari
- Screening coordinating centre, AUSL - IRCCS di Reggio Emilia, Italy
| | - Andrea Nitrosi
- Medical Physics unit, AUSL - IRCCS di Reggio Emilia, Italy
| | | | - Antonio Ponti
- SSD Epidemiologia e Screening. AOU Città della Salute e della Scienza, CPO Piemonte Torino, Italy
| | - Alfonso Frigerio
- SSD Senologia di Screening AOU Città della Salute e della Scienza, CPO Piemonte Torino, Italy
| | - Loredana Correale
- SSD Epidemiologia e Screening. AOU Città della Salute e della Scienza, CPO Piemonte Torino, Italy
| | - Emilia Riggi
- SSD Epidemiologia e Screening. AOU Città della Salute e della Scienza, CPO Piemonte Torino, Italy
| | - Livia Giordano
- SSD Epidemiologia e Screening. AOU Città della Salute e della Scienza, CPO Piemonte Torino, Italy
| | - Nereo Segnan
- SSD Epidemiologia e Screening. AOU Città della Salute e della Scienza, CPO Piemonte Torino, Italy
| | - Giovanni Di Leo
- IRCC Policlinico San Donato, Via Morandi 30, 20097 San Donato Milanese, Milan, Italy
| | - Veronica Magni
- Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133 Milan, Italy
| | - Francesco Sardanelli
- IRCC Policlinico San Donato, Via Morandi 30, 20097 San Donato Milanese, Milan, Italy; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133 Milan, Italy
| | - Francesca Fornasa
- Breast Unit ULSS9 Scaligera, Ospedale Fracastoro, Via Circonvallazione, 1, 37047 San Bonifacio, VR, Italy
| | - Giovanna Romanucci
- Breast Unit ULSS9 Scaligera, Ospedale Fracastoro, Via Circonvallazione, 1, 37047 San Bonifacio, VR, Italy
| | | | - Patrizia Falini
- ISPRO - Istituto per lo Studio, la Prevenzione e la Rete Oncologica, Firenze, Italy
| | - Noemi Auzzi
- ISPRO - Istituto per lo Studio, la Prevenzione e la Rete Oncologica, Firenze, Italy
| | - Marco Zappa
- ISPRO - Istituto per lo Studio, la Prevenzione e la Rete Oncologica, Firenze, Italy
| | - Marta Ottone
- Epidemiology Unit, AUSL - IRCCS di Reggio Emilia, Italy
| | - Paola Mantellini
- ISPRO - Istituto per lo Studio, la Prevenzione e la Rete Oncologica, Firenze, Italy
| | - Stephen W Duffy
- Wolfson Institute of Population Health, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Paola Armaroli
- SSD Epidemiologia e Screening. AOU Città della Salute e della Scienza, CPO Piemonte Torino, Italy
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Francesca Fornasa
- Breast Unit ULSS9 Scaligera, Ospedale Fracastoro, Via Circonvallazione, 1, 37047 San Bonifacio, VR, Italy
| | | | - Giovanna Romanucci
- Breast Unit ULSS9 Scaligera, Ospedale Fracastoro, Via Circonvallazione, 1, 37047 San Bonifacio, VR, Italy
| | - Ilaria Lucchi
- Breast Unit ULSS9 Scaligera, Ospedale Fracastoro, Via Circonvallazione, 1, 37047 San Bonifacio, VR, Italy
| | - Gessica Martello
- Breast Unit ULSS9 Scaligera, Ospedale Fracastoro, Via Circonvallazione, 1, 37047 San Bonifacio, VR, Italy
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Giovanni Di Leo
- IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | | | - Veronica Magni
- IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Andrea Cozzi
- IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Diana Spinelli
- IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | | | | | - Adrienn Benedek
- IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | - Laura Menicagli
- IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Axel Graewingholt
- Mammographiescreening-Zentrum Paderborn, Breast Cancer Screening, Paderborn, NRW, Germany
| | - Kristina Lang
- Departement of Translational Medicine, Lund University, Unilabs Mammography Unit, Skåne University Hospital, Malmö, Sweden
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Santini D, Danti G, Bicci E, Galluzzo A, Bettarini S, Busoni S, Innocenti T, Galli A, Miele V. Radiomic Features Are Predictive of Response in Rectal Cancer Undergoing Therapy. Diagnostics (Basel) 2023; 13:2573. [PMID: 37568936 PMCID: PMC10417449 DOI: 10.3390/diagnostics13152573] [Citation(s) in RCA: 1] [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] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 07/14/2023] [Accepted: 07/19/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND Rectal cancer is a major mortality cause in the United States (US), and its treatment is based on individual risk factors for recurrence in each patient. In patients with rectal cancer, accurate assessment of response to chemoradiotherapy has increased in importance as the variety of treatment options has grown. In this scenario, a controversial non-operative approach may be considered in some patients for whom complete tumor regression is believed to have occurred. The recommended treatment for locally advanced rectal cancer (LARC, T3-4 ± N+) is total mesorectal excision (TME) after neoadjuvant chemoradiotherapy (nCRT). Magnetic resonance imaging (MRI) has become a standard technique for local staging of rectal cancer (tumor, lymph node, and circumferential resection margin [CRM] staging), in both the US and Europe, and it is getting widely used for restaging purposes. AIM In our study, we aimed to use an MRI radiomic model to identify features linked to the different responses of chemoradiotherapy of rectal cancer before surgery, and whether these features are helpful to understand the effectiveness of the treatments. METHODS We retrospectively evaluated adult patients diagnosed with LARC who were subjected to at least 2 MRI examinations in 10-12 weeks at our hospital, before and after nCRT. The MRI acquisition protocol for the 2 exams included T2 sequence and apparent diffusion coefficient (ADC) map. The patients were divided into 2 groups according to the treatment response: complete or good responders (Group 1) and incomplete or poor responders (Group 2). MRI images were segmented, and quantitative features were extracted and compared between the two groups. Features that showed significant differences (SF) were then included in a LASSO regression method to build a radiomic-based predictive model. RESULTS We included 38 patients (26 males and 12 females), who are classified from T2 and T4 stages in the rectal cancer TNM. After the nCRT, the patients were divided into Group 1 (13 patients), complete or good responders, and Group 2 (25 patients), incomplete or poor responders. Analysis at baseline generated the following significant features for the Mann-Whitney test (out of a total of 107) for each sequence. Also, the analysis at the end of the follow-up yielded a high number of significant features for the Mann-Whitney test (out of a total of 107) for each image. Features selected by the LASSO regression method for each image analyzed; ROC curves relative to each model are represented. CONCLUSION We developed an MRI-based radiomic model that is able to differentiate and predict between responders and non-responders who went through nCRT for rectal cancer. This approach might identify early lesions with high surgical potential from lesions potentially resolving after medical treatment.
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Affiliation(s)
- Diletta Santini
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy; (D.S.)
| | - Ginevra Danti
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy; (D.S.)
| | - Eleonora Bicci
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy; (D.S.)
| | - Antonio Galluzzo
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy; (D.S.)
| | - Silvia Bettarini
- Department of Health Physics, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Simone Busoni
- Department of Health Physics, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Tommaso Innocenti
- Clinical Gastroenterology Unit, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Andrea Galli
- Clinical Gastroenterology Unit, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Vittorio Miele
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy; (D.S.)
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Flammia F, Innocenti T, Galluzzo A, Danti G, Chiti G, Grazzini G, Bettarini S, Tortoli P, Busoni S, Dragoni G, Gottin M, Galli A, Miele V. Branch duct-intraductal papillary mucinous neoplasms (BD-IPMNs): an MRI-based radiomic model to determine the malignant degeneration potential. Radiol Med 2023; 128:383-392. [PMID: 36826452 DOI: 10.1007/s11547-023-01609-6] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 02/05/2023] [Indexed: 02/25/2023]
Abstract
BACKGROUND Branch duct-intraductal papillary mucinous neoplasms (BD-IPMNs) are the most common pancreatic cystic tumors and have a low risk of malignant transformation. Features able to early identify high-risk BD-IPMNs are lacking, and guidelines currently rely on the occurrence of worrisome features (WF) and high-risk stigmata (HRS). AIM In our study, we aimed to use a magnetic resonance imaging (MRI) radiomic model to identify features linked to a higher risk of malignant degeneration, and whether these appear before the occurrence of WF and HRS. METHODS We retrospectively evaluated adult patients with a known BD-IPMN who had had at least two contrast-enhanced MRI studies at our center and a 24-month minimum follow-up time. MRI acquisition protocol for the two examinations included pre- and post-contrast phases and diffusion-weighted imaging (DWI)/apparent diffusion coefficient (ADC) map. Patients were divided into two groups according to the development of WF or HRS at the end of the follow-up (Group 0 = no WF or HRS; Group 1 = WF or HRS). We segmented the MRI images and quantitative features were extracted and compared between the two groups. Features that showed significant differences (SF) were then included in a LASSO regression method to build a radiomic-based predictive model. RESULTS We included 50 patients: 31 in Group 0 and 19 in Group 1. No patients in this cohort developed HRS. At baseline, 47, 67, 38, and 68 SF were identified for pre-contrast T1-weighted (T1-W) sequence, post-contrast T1-W sequence, T2-weighted (T2- W) sequence, and ADC map, respectively. At the end of follow-up, we found 69, 78, 53, and 91 SF, respectively. The radiomic-based predictive model identified 16 SF: more particularly, 5 SF for pre-contrast T1-W sequence, 6 for post-contrast T1-W sequence, 3 for T2-W sequence, and 2 for ADC. CONCLUSION We identified radiomic features that correlate significantly with WF in patients with BD-IPMNs undergoing contrast-enhanced MRI. Our MRI-based radiomic model can predict the occurrence of WF.
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Affiliation(s)
- Federica Flammia
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Tommaso Innocenti
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale G.B. Morgagni 50, 50134, Florence, Italy.,Clinical Gastroenterology Unit, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Antonio Galluzzo
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Ginevra Danti
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy.
| | - Giuditta Chiti
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Giulia Grazzini
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Silvia Bettarini
- Department of Health Physics, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Paolo Tortoli
- Department of Health Physics, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Simone Busoni
- Department of Health Physics, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Gabriele Dragoni
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale G.B. Morgagni 50, 50134, Florence, Italy.,Clinical Gastroenterology Unit, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Matteo Gottin
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale G.B. Morgagni 50, 50134, Florence, Italy.,Clinical Gastroenterology Unit, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Andrea Galli
- Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Viale G.B. Morgagni 50, 50134, Florence, Italy.,Clinical Gastroenterology Unit, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Vittorio Miele
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
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Bicci E, Cozzi D, Cavigli E, Ruzga R, Bertelli E, Danti G, Bettarini S, Tortoli P, Mazzoni LN, Busoni S, Miele V. Reproducibility of CT radiomic features in lung neuroendocrine tumours (NETs) patients: analysis in a heterogeneous population. Radiol Med 2023; 128:203-211. [PMID: 36637739 PMCID: PMC9938819 DOI: 10.1007/s11547-023-01592-y] [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] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 01/04/2023] [Indexed: 01/14/2023]
Abstract
BACKGROUND The aim is to find a correlation between texture features extracted from neuroendocrine (NET) lung cancer subtypes, both Ki-67 index and the presence of lymph-nodal mediastinal metastases detected while using different computer tomography (CT) scanners. METHODS Sixty patients with a confirmed pulmonary NET histological diagnosis, a known Ki-67 status and metastases, were included. After subdivision of primary lesions in baseline acquisition and venous phase, 107 radiomic features of first and higher orders were extracted. Spearman's correlation matrix with Ward's hierarchical clustering was applied to confirm the absence of bias due to the database heterogeneity. Nonparametric tests were conducted to identify statistically significant features in the distinction between patient groups (Ki-67 < 3-Group 1; 3 ≤ Ki-67 ≤ 20-Group 2; and Ki-67 > 20-Group 3, and presence of metastases). RESULTS No bias arising from sample heterogeneity was found. Regarding Ki-67 groups statistical tests, seven statistically significant features (p value < 0.05) were found in post-contrast enhanced CT; three in baseline acquisitions. In metastasis classes distinction, three features (first-order class) were statistically significant in post-contrast acquisitions and 15 features (second-order class) in baseline acquisitions, including the three features distinguishing between Ki-67 groups in baseline images (MCC, ClusterProminence and Strength). CONCLUSIONS Some radiomic features can be used as a valid and reproducible tool for predicting Ki-67 class and hence the subtype of lung NET in baseline and post-contrast enhanced CT images. In particular, in baseline examination three features can establish both tumour class and aggressiveness.
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Affiliation(s)
- Eleonora Bicci
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Diletta Cozzi
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy
| | - Edoardo Cavigli
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Ron Ruzga
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Elena Bertelli
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Ginevra Danti
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
| | - Silvia Bettarini
- Department of Health Physics, L.Go Brambilla, Careggi University Hospital, 50134 Florence, Italy
| | - Paolo Tortoli
- Department of Health Physics, L.Go Brambilla, Careggi University Hospital, 50134 Florence, Italy
| | - Lorenzo Nicola Mazzoni
- Department of Health Physics, AUSL Toscana Centro, Via Ciliegiole 97, 51100 Pistoia, Italy
| | - Simone Busoni
- Department of Health Physics, L.Go Brambilla, Careggi University Hospital, 50134 Florence, Italy
| | - Vittorio Miele
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134 Florence, Italy
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Busoni S, Bruzzi M, Giomi S, Poggiali C, Quattroccchi M, Betti M, D’Urso D, Fedeli L, Mazzoni LN, Paolucci M, Rossi F, Taddeucci A, Bettarini S, Tortoli P, Belli G, Boschini A, Gasperi C, Campanella F. SURGEON EYE LENS AND WHOLE BODY EFFECTIVE DOSE CORRELATION IN INTERVENTIONAL PROCEDURES: A MULTI-PROCEDURE STUDY. Phys Med 2022. [DOI: 10.1016/s1120-1797(22)02366-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
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Hall M, Cashmore M, Smith N, Bosnjakovic MA, Džemić MH, Manzin A, Troia A, Ferrero R, Goenaga-Infante H, Hill S, Clarkson C, Dispinar-Gezer T, Un I, McGrath C, McCann A, Wilson P, Thornton J, Wastling S, McDowell A, Curtis S, Hartley-Davies MR, Delve MJ, Elbert H, Gurbeta-Pokvic L, Busoni S, Tofts P. IMET-MRI – UPDATE ON EUROPEAN PROJECT AIMING AT IMPROVING METROLOGY IN QUANTITATIVE MRI. Phys Med 2022. [DOI: 10.1016/s1120-1797(22)02209-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
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Busoni S, Bruzzi M, Giomi S, Poggiali C, Quattrocchi M, Betti M, D'Urso D, Fedeli L, Mazzoni LN, Paolucci M, Rossi F, Taddeucci A, Bettarini S, Tortoli P, Belli G, Bernardi L, Gasperi C, Campanella F. Surgeon eye lens dose monitoring in interventional neuroradiology, cardiovascular and radiology procedures. Phys Med 2022; 104:123-128. [PMID: 36401940 DOI: 10.1016/j.ejmp.2022.11.002] [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] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 10/27/2022] [Accepted: 11/01/2022] [Indexed: 11/17/2022] Open
Abstract
PURPOSE This study investigated the radiation dose to surgeon eye lens for single procedure and normalised to exposure parameters for eight selected neuroradiology, cardiovascular and radiology interventional procedures. METHODS The procedures investigated were diagnostic study, Arteriovenous Malformations treatment (AVM) and aneurysm embolization for neuroradiology procedures, Coronary Angiography and Percutaneous Transluminal Coronary Angioplasty (CA-PTCA), Pacemaker and Implantable Cardioverter-Defibrillator implantation (PM-ICD), Endovascular Aortic Repair (EVAR) and Fenestrated Endovascular Aortic Repair (FEVAR) for cardiovascular and electrophysiology procedures. CT-guided lung biopsy was also monitored. All procedures were performed with table-mounted and ceiling-suspended shields (0.5 mm lead equivalent thickness), except for FEVAR and PM-ICD where only a table mounted shield was present, and CT-guided lung biopsy where no shield was used. Dose assessment was performed using a dosemeter positioned close to the most exposed eye of the surgeon, outside the protective eyewear. RESULTS The surgeon most exposed eye lens median Hp(3) equivalent dose for a single procedure, without protective eyewear contribution, was 18 μSv for neuroradiology diagnostic study, 62 μSv for AVM, 38 μSv for aneurysm embolization, 33 μSv for CA-PTCA, 39 μSv for PM-ICD, 49 μSv for EVAR, 2500 μSv for FEVAR, 153 μSv for CT-guided lung biopsy. CONCLUSIONS In interventional procedures, the 20 mSv/year dose limit for surgeon eye lens exposure might be exceeded if shields or protective eyewear are not used. Surgeon eye lens doses, normalised to single procedures and to exposure parameters, are a valuable tool for determining appropriate radiation protection measures and dedicated eye lens dosemeter assignment.
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Affiliation(s)
- S Busoni
- Health Physics Unit, AOU Careggi (Firenze University Hospital), Italy.
| | - M Bruzzi
- Physics and Astronomy Department, University of Florence, Italy
| | - S Giomi
- Health Physics Unit, AOU Careggi (Firenze University Hospital), Italy; Physics and Astronomy Department, University of Florence, Italy
| | - C Poggiali
- Health Physics Unit, AOU Careggi (Firenze University Hospital), Italy; Physics and Astronomy Department, University of Florence, Italy
| | | | - M Betti
- Health Physics Unit, AUSL Toscana Centro, Italy
| | - D D'Urso
- Health Physics Unit, AULSS 2 Marca Trevigiana, Italy
| | - L Fedeli
- Health Physics Unit, AUSL Toscana Centro, Italy
| | - L N Mazzoni
- Health Physics Unit, AUSL Toscana Centro, Italy
| | - M Paolucci
- Health Physics Unit, AUSL Umbria 2, Italy
| | - F Rossi
- Health Physics Unit, AOU Careggi (Firenze University Hospital), Italy
| | - A Taddeucci
- Health Physics Unit, AOU Careggi (Firenze University Hospital), Italy
| | - S Bettarini
- Health Physics Unit, AOU Careggi (Firenze University Hospital), Italy
| | - P Tortoli
- Health Physics Unit, AOU Careggi (Firenze University Hospital), Italy
| | - G Belli
- Health Physics Unit, AOU Careggi (Firenze University Hospital), Italy
| | - L Bernardi
- Health Physics Unit, AUSL Toscana Centro, Italy
| | - C Gasperi
- Health Physics Unit, AUSL Toscana Sud-Est, Italy
| | - F Campanella
- Department of Medicine, Epidemiology, Workplace and Environmental Hygiene, INAIL, Italy
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Poggiali C, Civinini C, Giomi S, Taddeucci A, Rossi F, Busoni S, Belli G, Campanella F, Bruzzi M. ASSESSING THE EYE LENS DOSE IN INTERVENTIONAL RADIOLOGY: A PHANTOM STUDY FOR VALIDATION OF MONTE CARLO SIMULATIONS. Phys Med 2022. [DOI: 10.1016/s1120-1797(22)02233-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
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Noferini L, Busoni S, Bettarini S, Tortoli P, Busto G, Ginestroni A, Lombardo I, Carlesi E, Di Pasquale F, Fainardi E, Belli G. COMPARISON OF TWO AUTOMATIC METHODS FOR SVD LESION SEGMENTATION IN MR IMAGING: A PRELIMINARY STUDY. Phys Med 2022. [DOI: 10.1016/s1120-1797(22)02435-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
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10
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Chiti G, Grazzini G, Flammia F, Matteuzzi B, Tortoli P, Bettarini S, Pasqualini E, Granata V, Busoni S, Messserini L, Pradella S, Massi D, Miele V. Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs): a radiomic model to predict tumor grade. Radiol Med 2022; 127:928-938. [DOI: 10.1007/s11547-022-01529-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 07/12/2022] [Indexed: 11/30/2022]
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Pradella S, Mazzoni LN, Letteriello M, Tortoli P, Bettarini S, De Amicis C, Grazzini G, Busoni S, Palumbo P, Belli G, Miele V. FLORA software: semi-automatic LGE-CMR analysis tool for cardiac lesions identification and characterization. Radiol Med 2022; 127:589-601. [DOI: 10.1007/s11547-022-01491-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 03/23/2022] [Indexed: 10/18/2022]
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Bicchierai G, Busoni S, Tortoli P, Bettarini S, Naro FD, De Benedetto D, Savi E, Bellini C, Miele V, Nori J. Single Center Evaluation of Comparative Breast Radiation dose of Contrast Enhanced Digital Mammography (CEDM), Digital Mammography (DM) and Digital Breast Tomosynthesis (DBT). Acad Radiol 2022; 29:1342-1349. [PMID: 35065889 DOI: 10.1016/j.acra.2021.12.022] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 12/17/2021] [Accepted: 12/22/2021] [Indexed: 11/25/2022]
Abstract
RATIONALE AND OBJECTIVES The aim of this retrospective study is to compare the radiation dose received during CEDM, short and long protocol (CEDM SP and CEDM LP), with dose received during DM and DBT on patients with varying breast thickness, age and density. MATERIALS AND METHODS Between January 2019 and December 2019, patients having 6214 DM, 3662 DBT and 173 CEDM examinations in our department were analyzed. Protocol total single breast AGD has been evaluated for all clinical imaging protocols, extracting AGD values and exposure data from the dose DICOM Structured Report (SR) information stored in the hospital PACS system. Protocol AGD was calculated as the sum of single projection AGDs carried out in every exam for each clinical protocol. A total amount of 23,383 exams for each breast were analyzed. Protocol AGDs, stratified as a function of patient breast compression thickness, age, and breast density were assessed. RESULTS The total protocol AGD median values for each protocol are: 2.8 mGy for DM, 3.2 mGy for DBT, 6.0 mGy for DM+DBT, 4.5 mGy for CEDM SP, 7.4 mGy for CEDM SP_DBT (CEDM SP protocol with DBT), 8.4 mGy for CEDM LP and 11.6 mGy for CEDM LP_DBT (CEDM LP protocol with DBT). CEDM SP AGD median value is 59% higher than DM AGD median value and 40% lesser than DM+DBT AGD median; this last difference was statistically confirmed with a p-value <0.001. AGD value for each standard breast CEDM SP projection results to be below 3-mGy limit. AGD value for each standard breast CEDM SP projection results to be below 3 mGy, as required by international legislation. For dense breasts, the AGD median value is 4.2 mGy, with the first and third quartile of 3.3 mGy and 6.0 mGy respectively; for non-dense breasts, the AGD median value is 4.7 mGy, with first and third quartile of 3.5 mGy and 6.3 mGy respectively. The difference between the two groups was statistically tested and confirmed, with a p-value of 0.039. CONCLUSION CEDM SP results in higher radiation exposure compared with conventional DM and DBT but lower than the Combo mode. The dose administered during the CEDM SP is lower in patients with dense breasts regardless of their size. An interesting outcome, considering the ongoing studies on CEDM screening in patients with dense breasts.
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Palatresi D, Fedeli F, Danti G, Pasqualini E, Castiglione F, Messerini L, Massi D, Bettarini S, Tortoli P, Busoni S, Pradella S, Miele V. Correlation of CT radiomic features for GISTs with pathological classification and molecular subtypes: preliminary and monocentric experience. Radiol Med 2022; 127:117-128. [PMID: 35022956 DOI: 10.1007/s11547-021-01446-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 12/30/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE Our primary purpose was to search for computed tomography (CT) radiomic features of gastrointestinal stromal tumors (GISTs) that could potentially correlate with the risk class according to the Miettinen classification. Subsequently, assess the existence of features with possible predictive value in differentiating responder from non-responder patients to first-line therapy with Imatinib. METHODS A retrospective study design was carried out using data from June 2009 to December 2020. We analyzed all the preoperative CTs of patients undergoing surgery for GISTs. We segmented non-contrast-enhanced CT (NCECT) and contrast-enhanced venous CT (CECT) images obtained either on three different CT scans (heterogeneous cohort) or on a single CT scan (homogeneous cohort). We then divided the patients into two groups according to Miettinen classification criteria and based on the predictive value of response to first-line therapy with Imatinib. RESULTS We examined 54 patients with pathological confirmation of GISTs. For the heterogeneous cohort, we found a statistically significant relationship between 57 radiomic features for NCECT and 56 radiomic features for CECT using the Miettinen risk classification. In the homogeneous cohort, we found the same relationship between 8 features for the NCECT and 5 features for CECT, all included in the heterogeneous cohort. The various radiomic features are distributed with different values in the two risk stratification groups according to the Miettinen classification. We also found some features for groups predictive of response to first-line therapy with Imatinib. CONCLUSIONS We found radiomic features that correlate with statistical significance for both the Miettinen risk classification and the molecular subtypes of response. All features found in the homogeneous study cohort were also found in the heterogeneous cohort. CT radiomic features may be useful in assessing the risk class and prognosis of GISTs.
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Affiliation(s)
- Daniele Palatresi
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Filippo Fedeli
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Ginevra Danti
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy.
| | - Elisa Pasqualini
- Pathology Unit, Department of Health Sciences, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Francesca Castiglione
- Histopathology and Molecular Diagnostics Unit, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Luca Messerini
- Department of Experimental and Clinical Medicine, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Daniela Massi
- Pathology Unit, Department of Health Sciences, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Silvia Bettarini
- Medical Physics Department, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Paolo Tortoli
- Medical Physics Department, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Simone Busoni
- Medical Physics Department, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Silvia Pradella
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Vittorio Miele
- Department of Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
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Fedeli L, Betti M, Bicchi S, Benelli M, Quattrocchi M, Gilio M, Rossi F, Busoni S, Taddeucci A, Comeglio M, Maioli M, Lisi C, Meucci F, Vaiano A, Fedele D, Mazzoni L, Bernardi L. Correlation between operator eye lens doses and transcatheter cardiovascular procedure characteristic: multi-parametric linear regression model. Phys Med 2021. [DOI: 10.1016/s1120-1797(22)00098-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Busoni S, Bruzzi M, Bettarini S, Betti M, Fedeli L, Mazzoni L, Quattrocchi M, Rossi F, Taddeucci A, Tortoli P, Belli G, Bernardi L, Doria S, Gasperi C, Gori C, Piffer S, Redapi L, Campanella F. Surgeon eye-lens dose monitoring in interventional procedures: a multi-centre and multi-procedure survey. Phys Med 2021. [DOI: 10.1016/s1120-1797(22)00060-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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16
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Noferini L, Busoni S, Belli G, Bettarini S, Tortoli P, Ono S, Chenevert T, Malyarenko D, Swanson S. Diffusion Kurtosis Imaging (DKI): measurement optimization on the basis of a quantitative diffusion phantom. Phys Med 2021. [DOI: 10.1016/s1120-1797(22)00232-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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17
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Fedeli L, Belli G, Ciccarone A, Coniglio A, Esposito M, Giannelli M, Sghedoni R, Tarducci R, Altabella L, Belligotti E, Benelli M, Bernardi L, Betti M, Caivano R, Carni M, Chiappiniello A, Cimolai S, Cretti F, Fulcheri C, Gasperi C, Giacometti M, Levrero F, Lizio D, Maieron M, Marzi S, Mascaro L, Mazzocchi S, Meliado G, Morzenti S, Niespolo A, Nocetti L, Noferini L, Oberhofer N, Orsingher L, Quattrocchi M, Ricci A, Savini A, Taddeucci A, Testa C, Tortoli P, Luchinat C, Tenori L, Gobbi G, Gori C, Busoni S, Mazzoni L. Multicenter comparison of MR scanners for quantitative diffusion weighted imaging: apparent diffusion coefficient dependence on acquisition plan and spatial position – preliminary results. Phys Med 2021. [DOI: 10.1016/s1120-1797(22)00475-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
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18
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Belli G, Coniglio A, Bettarini S, Tortoli P, Fedeli L, Giannelli M, Mazzoni L, Nocetti L, Sghedoni R, Tarducci R, Belligotti E, Canzi C, Chiappiniello A, Cimolai S, Giovannini G, Lizio D, Marzi S, Mascaro L, Mazzocchi S, Meliadò G, Morzenti S, Niespolo A, Noferini L, Oberhofer N, Origgi D, Paruccini N, Quattrocchi M, Savini A, Solla I, Taddeucci A, Busoni S. Multicentre comparison of MR scanners (15T, 3T) for MR T1-T2 relaxometry. Phys Med 2021. [DOI: 10.1016/s1120-1797(22)00490-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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19
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Busoni S, Bock M, Chmelik M, Colgan N, De Bondt T, Hanson LG, Israel M, Kugel H, Maieron M, Mazzoni LN, Seimenis I, Vestergaard P. ADDENDUM to EFOMP Policy statement No.14 "The role of the Medical Physicist in the management of safety within the magnetic resonance imaging environment: EFOMP recommendations". Phys Med 2021; 89:303-305. [PMID: 34492497 DOI: 10.1016/j.ejmp.2021.07.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
Affiliation(s)
- S Busoni
- Medical Physics Department, Firenze University Hospital - AOU Careggi, Firenze, Italy.
| | - M Bock
- Radiology - Medical Physics Dpt., University Medical Center Freiburg, Freiburg, Germany
| | - M Chmelik
- Department of Technical Disciplines in Health Care, Faculty of Health Care, University of Prešov, Prešov, Slovakia
| | - N Colgan
- Galway University Hospital, National University of Ireland Galway, Galway, Ireland
| | - T De Bondt
- Vinçotte - Controlatom, Vilvoorde, Belgium; De Bondt Consulting BV, Antwerp, Belgium
| | - L G Hanson
- Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Amager and Hvidovre, Copenhagen, Denmark; Section for Magnetic Resonance, DTU Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - M Israel
- Department of Hygiene, Medical Ecology and Professional Diseases, Medical University - Pleven, Bulgaria; Department of Physical Factors, National Centre of Public Health and Analyses, Sofia, Bulgaria
| | - H Kugel
- University Clinic for Radiology, University Hospital Muenster, Muenster, Germany
| | - M Maieron
- Health Physics Department, Azienda Sanitaria Universitaria Integrata di Udine, Udine, Italy
| | - L N Mazzoni
- Health Physics Unit, AUSL Toscana Centro, Pistoia, Italy
| | - I Seimenis
- School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - P Vestergaard
- Indkøb & Medicoteknik, Region Midtjylland, Aarhus, Denmark
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Fedeli L, Benelli M, Busoni S, Belli G, Ciccarone A, Coniglio A, Esposito M, Nocetti L, Sghedoni R, Tarducci R, Altabella L, Belligotti E, Bettarini S, Betti M, Caivano R, Carnì M, Chiappiniello A, Cimolai S, Cretti F, Fulcheri C, Gasperi C, Giacometti M, Levrero F, Lizio D, Maieron M, Marzi S, Mascaro L, Mazzocchi S, Meliadò G, Morzenti S, Niespolo A, Noferini L, Oberhofer N, Orsingher L, Quattrocchi M, Ricci A, Savini A, Taddeucci A, Testa C, Tortoli P, Gobbi G, Gori C, Bernardi L, Giannelli M, Mazzoni LN. On the dependence of quantitative diffusion-weighted imaging on scanner system characteristics and acquisition parameters: A large multicenter and multiparametric phantom study with unsupervised clustering analysis. Phys Med 2021; 85:98-106. [PMID: 33991807 DOI: 10.1016/j.ejmp.2021.04.020] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [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: 01/21/2021] [Revised: 03/31/2021] [Accepted: 04/23/2021] [Indexed: 11/25/2022] Open
Abstract
PURPOSE The purpose of this multicenter phantom study was to exploit an innovative approach, based on an extensive acquisition protocol and unsupervised clustering analysis, in order to assess any potential bias in apparent diffusion coefficient (ADC) estimation due to different scanner characteristics. Moreover, we aimed at assessing, for the first time, any effect of acquisition plan/phase encoding direction on ADC estimation. METHODS Water phantom acquisitions were carried out on 39 scanners. DWI acquisitions (b-value = 0-200-400-600-800-1000 s/mm2) with different acquisition plans (axial, coronal, sagittal) and phase encoding directions (anterior/posterior and right/left, for the axial acquisition plan), for 3 orthogonal diffusion weighting gradient directions, were performed. For each acquisition setup, ADC values were measured in-center and off-center (6 different positions), resulting in an entire dataset of 84 × 39 = 3276 ADC values. Spatial uniformity of ADC maps was assessed by means of the percentage difference between off-center and in-center ADC values (Δ). RESULTS No significant dependence of in-center ADC values on acquisition plan/phase encoding direction was found. Ward unsupervised clustering analysis showed 3 distinct clusters of scanners and an association between Δ-values and manufacturer/model, whereas no association between Δ-values and maximum gradient strength, slew rate or static magnetic field strength was revealed. Several acquisition setups showed significant differences among groups, indicating the introduction of different biases in ADC estimation. CONCLUSIONS Unsupervised clustering analysis of DWI data, obtained from several scanners using an extensive acquisition protocol, allows to reveal an association between measured ADC values and manufacturer/model of scanner, as well as to identify suboptimal DWI acquisition setups for accurate ADC estimation.
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Affiliation(s)
- Luca Fedeli
- S.O.C. Fisica Sanitaria Pistoia-Prato, A.U.S.L. Toscana Centro, Italy
| | - Matteo Benelli
- Bioinformatics Unit, Hospital of Prato, A.U.S.L. Toscana Centro, Italy
| | - Simone Busoni
- U.O.C. Fisica Sanitaria, A.O.U. Careggi, Firenze, Italy
| | - Giacomo Belli
- U.O.C. Fisica Sanitaria, A.O.U. Careggi, Firenze, Italy
| | | | - Angela Coniglio
- Department of Medical Physics, P.O. S. Filippo Neri, Roma, Italy
| | - Marco Esposito
- S.C. Fisica Sanitaria Firenze-Empoli, A.U.S.L. Toscana Centro, Firenze, Italy
| | - Luca Nocetti
- Servizio di Fisica Medica, A.O.U. Policlinico di Modena, Modena, Italy
| | - Roberto Sghedoni
- Fisica Medica, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | | | - Luisa Altabella
- Medical Physics Department, Hospital of Trento, APSS, Trento, Italy
| | - Eleonora Belligotti
- Fisica Medica ed Alte Tecnologie, A.O. Ospedali Riuniti Marche Nord, Pesaro, Italy
| | - Silvia Bettarini
- U.O.C. Fisica Sanitaria, A.O.U. Careggi, Firenze, Italy; Università degli Studi di Firenze, Firenze, Italy
| | - Margherita Betti
- S.O.C. Fisica Sanitaria Pistoia-Prato, A.U.S.L. Toscana Centro, Italy
| | - Rocchina Caivano
- U.O. Radioterapia Oncologica e Fisica Sanitaria, I.R.C.C.S. CROB, Rionero in Vulture (PZ), Italy
| | - Marco Carnì
- U.O.D. Fisica Sanitaria, A.O.U. Policlinico Umberto I, Roma, Italy
| | | | - Sara Cimolai
- U.O. Fisica Sanitaria, U.L.S.S. 2 Marca Trevigiana, Treviso, Italy
| | - Fabiola Cretti
- U.S.C. Fisica Sanitaria, A.O. Papa Giovanni XXIII, Bergamo, Italy
| | | | - Chiara Gasperi
- U.O.S.D. Fisica Sanitaria Arezzo, A.U.S.L. Toscana Sud Est, Arezzo, Italy
| | - Mara Giacometti
- S.O.D. Fisica Sanitaria, A.O.U. Ospedali Riuniti di Ancona, Ancona, Italy
| | - Fabrizio Levrero
- U.O. Fisica Sanitaria, Ospedale Policlinico San Martino, Genova, Italy
| | - Domenico Lizio
- Fisica Sanitaria, A.S.S.T. Grande Ospedale Metropolitano Niguarda, Milano, Italy
| | - Marta Maieron
- S.O.C. Fisica Sanitaria, A.S.U.I. Udine S. Maria della Misericordia, Udine, Italy
| | - Simona Marzi
- S.C. Laboratorio di Fisica Medica e Sistemi Esperti, Istituto Nazionale Tumori Regina Elena, Roma, Italy
| | - Lorella Mascaro
- U.O.C. Fisica Sanitaria, A.S.S.T. Spedali Civili, Brescia, Italy
| | - Silvia Mazzocchi
- S.C. Fisica Sanitaria Firenze-Empoli, A.U.S.L. Toscana Centro, Firenze, Italy
| | - Gabriele Meliadò
- U.O.C. Fisica Sanitaria, A.O.U. Integrata di Verona, Verona, Italy
| | | | - Alessandra Niespolo
- U.O.C. Fisica Sanitaria Area Nord, A.U.S.L. Toscana Nord Ovest, Lucca, Italy
| | | | - Nadia Oberhofer
- Servizio Aziendale di Fisica Sanitaria, A.S. dell'Alto Adige, Bolzano, Italy
| | - Laura Orsingher
- U.O. Fisica Sanitaria, U.L.S.S. 2 Marca Trevigiana, Treviso, Italy
| | | | | | - Alessandro Savini
- Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | | | - Claudia Testa
- Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna, Italy
| | - Paolo Tortoli
- U.O.C. Fisica Sanitaria, A.O.U. Careggi, Firenze, Italy; Università degli Studi di Firenze, Firenze, Italy
| | - Gianni Gobbi
- Università degli Studi di Perugia, Perugia, Italy
| | - Cesare Gori
- Università degli Studi di Firenze, Firenze, Italy
| | - Luca Bernardi
- S.O.C. Fisica Sanitaria Pistoia-Prato, A.U.S.L. Toscana Centro, Italy
| | - Marco Giannelli
- Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Pisa, Italy.
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Moroni C, Cozzi D, Albanesi M, Cavigli E, Bindi A, Luvarà S, Busoni S, Mazzoni LN, Grifoni S, Nazerian P, Miele V. Chest X-ray in the emergency department during COVID-19 pandemic descending phase in Italy: correlation with patients' outcome. Radiol Med 2021; 126:661-668. [PMID: 33394364 PMCID: PMC7780606 DOI: 10.1007/s11547-020-01327-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 12/14/2020] [Indexed: 01/16/2023]
Abstract
PURPOSE The aims of our study are: (1) to estimate admission chest X-ray (CXR) accuracy during the descending phase of pandemic; (2) to identify specific CXR findings strictly associated with COVID-19 infection; and (3) to correlate lung involvement of admission CXR with patients' outcome. MATERIALS AND METHODS We prospectively evaluated the admission CXR of 327 patients accessed to our institute during the Italian pandemic descending phase (April 2020). For each CXR were searched ground glass opacification (GGO), consolidation (CO), reticular-nodular opacities (RNO), nodules, excavations, pneumothorax, pleural effusion, vascular congestion and cardiac enlargement. For lung alterations was defined the predominance (upper or basal, focal or diffuse, central or peripheric, etc.). Then radiologists assessed whether CXRs were suggestive or not for COVID-19 infection. For COVID-19 patients, a prognostic score was applied and correlated with the patients' outcome. RESULTS CXR showed 83% of specificity and 60% of sensitivity. GGO, CO, RNO and a peripheric, diffuse and basal prevalence showed good correlation with COVID-19 diagnosis. A logistic regression analysis pointed out GGO and a basal or diffuse distribution as independent predictors of COVID-19 diagnosis. The prognostic score showed good correlation with the patients' outcome. CONCLUSION In our study, admission CXR showed a fair specificity and a good correlation with patients' outcome. GGO and others CXR findings showed a good correlation with COVID-19 diagnosis; besides GGO a diffuse or bibasal distribution resulted in independent variables highly suggestive for COVID-19 infection thus enabling radiologists to signal to clinicians radiologically suspect patients during the pandemic descending phase.
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Affiliation(s)
- Chiara Moroni
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Diletta Cozzi
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy.
| | - Marco Albanesi
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
- Department of Clinical and Experimental Medicine, Institute of Diagnostic Imaging 2, University of Sassari, Sassari, Italy
| | - Edoardo Cavigli
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Alessandra Bindi
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Silvia Luvarà
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Simone Busoni
- Medical Physics Department, Careggi University Hospital, Florence, Italy
| | - Lorenzo Nicola Mazzoni
- Medical Physics Department, Careggi University Hospital, Florence, Italy
- Medical Physics Unit, AUSL Toscana Centro, Pistoia-Prato, Italy
| | - Stefano Grifoni
- Department of Emergency Medicine, Careggi University Hospital, Florence, Italy
| | - Peiman Nazerian
- Department of Emergency Medicine, Careggi University Hospital, Florence, Italy
| | - Vittorio Miele
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
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Bianchi A, Mazzoni LN, Busoni S, Pinna N, Albanesi M, Cavigli E, Cozzi D, Poggesi A, Miele V, Fainardi E, Gadda D. Assessment of cerebrovascular disease with computed tomography in COVID-19 patients: correlation of a novel specific visual score with increased mortality risk. Radiol Med 2021; 126:570-576. [PMID: 33247816 PMCID: PMC7695990 DOI: 10.1007/s11547-020-01313-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 11/15/2020] [Indexed: 11/25/2022]
Abstract
PURPOSE Cerebrovascular disease (CVD) is considered a major risk factor for fatal outcome in COVID-19. We aimed to evaluate the possible association between computed tomography (CT) signs of chronic CVD and mortality in infected patients. MATERIALS AND METHODS We performed a double-blind retrospective evaluation of the cerebral CT scans of 83 COVID-19 patients looking for CT signs of chronic CVD. We developed a rapid visual score, named CVD-CT, which summarized the possible presence of parietal calcifications and dolichosis, with or without ectasia, of intracranial arteries, areas of chronic infarction and leukoaraiosis. Statistical analysis was carried out with weighted Cohen's K test for inter-reader agreement and logistic regression to evaluate the association of in-hospital mortality with CVD-CT, chest X-ray (CXR) severity score (Radiographic Assessment of Lung Edema-RALE) for radiological assessment of pulmonary disease, sex and age. RESULTS CVD-CT (odds ratio 1.6, 95% C.I. 1.2-2.1, p = 0.001) was associated with increased risk of mortality. RALE showed an almost significant association (odds ratio 1.05, 95% C.I. 1-1.1, p 0.06), whereas age and sex did not. CONCLUSION CVD-CT is associated with risk of mortality in COVID-19 patients. The presence of CT signs of chronic CVD may be correlated to a condition of fragility of the circulatory system, which constitutes a key risk factor for death in infected patients.
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Affiliation(s)
- Andrea Bianchi
- Department of Neuroradiology, Careggi University Hospital, Florence, Italy
| | - Lorenzo Nicola Mazzoni
- Medical Physics Department, Careggi University Hospital, Florence, Italy
- Medical Physics Unit, AUSL Toscana Centro, Prato, Pistoia, Italy
| | - Simone Busoni
- Medical Physics Department, Careggi University Hospital, Florence, Italy
| | - Nicola Pinna
- Department of Neuroradiology, Careggi University Hospital, Florence, Italy
- Department of Clinical and Experimental Medicine, Institute of Diagnostic Imaging 2, University of Sassari, Sassari, Italy
| | - Marco Albanesi
- Department of Clinical and Experimental Medicine, Institute of Diagnostic Imaging 2, University of Sassari, Sassari, Italy
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Edoardo Cavigli
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Diletta Cozzi
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy.
| | - Anna Poggesi
- NEUROFARBA Department, Neuroscience Section, University of Florence, Careggi University Hospital, Florence, Italy
- Stroke Unit, Careggi University Hospital, Florence, Italy
| | - Vittorio Miele
- Department of Emergency Radiology, Careggi University Hospital, Largo Brambilla 3, 50134, Florence, Italy
| | - Enrico Fainardi
- Department of Neuroradiology, Careggi University Hospital, Florence, Italy
- Department of "Scienze Biomediche, Sperimentali E Cliniche", Neuroradiology, University of Florence, Careggi University Hospital, Florence, Italy
| | - Davide Gadda
- Department of Neuroradiology, Careggi University Hospital, Florence, Italy
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Speight R, Tyyger M, Schmidt MA, Liney G, Johnstone R, Eccles CL, Dubec M, George B, Henry A, Herbert T, Nyholm T, Mahmood F, Korhonen J, Sims R, Tijssen RHN, Vanhoutte F, Busoni S, Lacornerie T, McCallum H. IPEM Topical Report: an international IPEM survey of MRI use for external beam radiotherapy treatment planning. Phys Med Biol 2021; 66:075007. [PMID: 33631729 DOI: 10.1088/1361-6560/abe9f7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 02/25/2021] [Indexed: 11/12/2022]
Abstract
Introduction/Background. Despite growing interest in magnetic resonance imaging (MRI), integration in external beam radiotherapy (EBRT) treatment planning uptake varies globally. In order to understand the current international landscape of MRI in EBRT a survey has been performed in 11 countries. This work reports on differences and common themes identified.Methods. A multi-disciplinary Institute of Physics and Engineering in Medicine working party modified a survey previously used in the UK to understand current practice using MRI for EBRT treatment planning, investigate how MRI is currently used and managed as well as identify knowledge gaps. It was distributed electronically within 11 countries: Australia, Belgium, Denmark, Finland, France, Italy, the Netherlands, New Zealand, Sweden, the UK and the USA.Results. The survey response rate within the USA was <1% and hence these results omitted from the analysis. In the other 10 countries the survey had a median response rate of 77% per country. Direct MRI access, defined as either having a dedicated MRI scanner for radiotherapy (RT) or access to a radiology MRI scanner, varied between countries. France, Italy and the UK reported the lowest direct MRI access rates and all other countries reported direct access in ≥82% of centres. Whilst ≥83% of centres in Denmark and Sweden reported having dedicated MRI scanners for EBRT, all other countries reported ≤29%. Anatomical sites receiving MRI for EBRT varied between countries with brain, prostate, head and neck being most common. Commissioning and QA of image registration and MRI scanners varied greatly, as did MRI sequences performed, staffing models and training given to different staff groups. The lack of financial reimbursement for MR was a consistent barrier for MRI implementation for RT for all countries and MR access was a reported important barrier for all countries except Sweden and Denmark.Conclusion. No country has a comprehensive approach for MR in EBRT adoption and financial barriers are present worldwide. Variations between countries in practice, equipment, staffing models, training, QA and MRI sequences have been identified, and are likely to be due to differences in funding as well as a lack of consensus or guidelines in the literature. Access to dedicated MR for EBRT is limited in all but Sweden and Denmark, but in all countries there are financial challenges with ongoing per patient costs. Despite these challenges, significant interest exists in increasing MR guided EBRT planning over the next 5 years.
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Affiliation(s)
- Richard Speight
- Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Marcus Tyyger
- Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Maria A Schmidt
- Royal Marsden NHS Foundation Trust and Institute of Cancer Research, London, United Kingdom
| | - Gary Liney
- Ingham Institute for Applied Medical Research & Liverpool Cancer Therapy Centre, Liverpool, Sydney, NSW 2170, Australia
| | - Robert Johnstone
- Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom
| | - Cynthia L Eccles
- The Christie NHS Foundation Trust and the University of Manchester, Manchester, United Kingdom
| | - Michael Dubec
- The Christie NHS Foundation Trust and the University of Manchester, Manchester, United Kingdom
| | - Ben George
- University of Oxford and GenesisCare, Oxford, United Kingdom
| | - Ann Henry
- Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust and University of Leeds, Leeds, United Kingdom
| | - Trina Herbert
- Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Tufve Nyholm
- Department of Radiation Sciences, Umeå University, Sweden
| | - Faisal Mahmood
- Odense University Hospital, Laboratory of Radiation Physics, Odense, Denmark and University of Southern Denmark, Department of Clinical Research, Denmark
| | - Juha Korhonen
- Department of Medical Imaging and Radiation Therapy, Kymenlaakso Central Hospital, Kotka, Finland
| | - Rick Sims
- Auckland Radiation Oncology, Epsom, Auckland, New Zealand and Icon Cancer Centres, Cairns, QLD, Australia
| | - Rob H N Tijssen
- Department of Radiation Oncology, Catharina Hospital, Eindhoven, The Netherlands
| | | | - Simone Busoni
- Department of Health Physics, AOU Careggi (Firenze University Hospital), Firenze, Italy
| | | | - Hazel McCallum
- Translational and Clinical Research Institute, Newcastle University and Northern Centre for Cancer Care, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
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Speight R, Tyyger M, Schmidt M, Liney G, Johnstone R, Eccles C, Dubec M, George B, Henry A, Nyholm T, Mahmood F, Korhonen J, Sims R, Tijssen R, Vanhoutte F, Busoni S, Lacornerie T, McCallum H. PH-0406: An IPEM international survey of MRI use for external beam RT treatment planning. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)00428-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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25
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Cozzi D, Albanesi M, Cavigli E, Moroni C, Bindi A, Luvarà S, Lucarini S, Busoni S, Mazzoni LN, Miele V. Chest X-ray in new Coronavirus Disease 2019 (COVID-19) infection: findings and correlation with clinical outcome. Radiol Med 2020; 125:730-737. [PMID: 32519256 PMCID: PMC7282464 DOI: 10.1007/s11547-020-01232-9] [Citation(s) in RCA: 170] [Impact Index Per Article: 42.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 05/25/2020] [Indexed: 12/11/2022]
Abstract
Aim The purpose of this study is to describe the main chest radiological features (CXR) of COVID-19 and correlate them with clinical outcome. Materials and methods This is a retrospective study involving patients with clinical-epidemiological suspect of COVID-19 infection, who performed CXRs at the emergency department (ED) of our University Hospital from March 1 to March 31, 2020. All patients performed RT-PCR nasopharyngeal and throat swab, CXR at the ED and clinical-epidemiological data. RT-PCR results were considered the reference standard. The final outcome was expressed as discharged or hospitalized patients into a medicine department or intensive care unit (ICU). Results Patients that had a RT-PCR positive for COVID-19 infection were 234 in total: 153 males (65.4%) and 81 females (34.6%), with a mean age of 66.04 years (range 18–97 years). Thirteen CXRs were negative for radiological thoracic involvement (5.6%). The following alterations were more commonly observed: 135 patients with lung consolidations (57.7%), 147 (62.8%) with GGO, 55 (23.5%) with nodules and 156 (66.6%) with reticular–nodular opacities. Patients with consolidations and GGO coexistent in the same radiography were 35.5% of total. Peripheral (57.7%) and lower zone distribution (58.5%) were the most common predominance. Moreover, bilateral involvement (69.2%) was most frequent than unilateral one. Baseline CXR sensitivity in our experience is about 67.1%. The most affected patients were especially males in the age group 60–79 years old (45.95%, of which 71.57% males). RALE score was slightly higher in male than in female patients. ANOVA with Games-Howell post hoc showed significant differences of RALE scores for group 1 vs 3 (p < 0.001) and 2 vs 3 (p = 0.001). Inter-reader agreement in assigning RALE score was very good (ICC: 0.92—with 95% confidence interval 0.88–0.95). Conclusion In COVID-19, CXR shows patchy or diffuse reticular–nodular opacities and consolidation, with basal, peripheral and bilateral predominance. In our experience, baseline CXR had a sensitivity of 68.1%. The RALE score can be used in the emergency setting as a quantitative method of the extent of SARS-CoV-2 pneumonia, correlating with an increased risk of ICU admission.
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Affiliation(s)
- Diletta Cozzi
- Department of Emergency Radiology, University Hospital Careggi, Largo Brambilla 3, 50134, Florence, Italy.
| | - Marco Albanesi
- Department of Emergency Radiology, University Hospital Careggi, Largo Brambilla 3, 50134, Florence, Italy.,Department of Clinical and Experimental Medicine, Institute of Diagnostic Imaging 2, University of Sassari, Sassari, Italy
| | - Edoardo Cavigli
- Department of Emergency Radiology, University Hospital Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Chiara Moroni
- Department of Emergency Radiology, University Hospital Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Alessandra Bindi
- Department of Emergency Radiology, University Hospital Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Silvia Luvarà
- Department of Emergency Radiology, University Hospital Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Silvia Lucarini
- Department of Emergency Radiology, University Hospital Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Simone Busoni
- Medical Physics Department, University Hospital Careggi, Florence, Italy
| | - Lorenzo Nicola Mazzoni
- Medical Physics Department, University Hospital Careggi, Florence, Italy.,Medical Physics Unit, AUSL Toscana Centro, Pistoia, Prato, Italy
| | - Vittorio Miele
- Department of Emergency Radiology, University Hospital Careggi, Largo Brambilla 3, 50134, Florence, Italy
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26
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Doria S, Fedeli L, Redapi L, Piffer S, Rossi F, Falivene A, Busoni S, Belli G, Gori C, Taddeucci A. Addressing the efficiency of X-ray protective eyewear: Proposal for the introduction of a new comprehensive parameter, the Eye Protection Effectiveness (EPE). Phys Med 2020; 70:216-223. [DOI: 10.1016/j.ejmp.2020.01.028] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 01/28/2020] [Accepted: 01/29/2020] [Indexed: 11/26/2022] Open
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27
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Betti M, Mazzoni LN, Belli G, Bernardi L, Bicchi S, Busoni S, Fedele D, Fedeli L, Gasperi C, Gori C, Quattrocchi M, Taddeucci A, Vigliotti M, Vaiano A, Rossi F. Surgeon eye lens dose monitoring in catheterization lab: A multi-center survey: Invited for ECMP 2018 Focus Issue. Phys Med 2019; 60:127-131. [PMID: 31000072 DOI: 10.1016/j.ejmp.2019.03.027] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [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: 12/03/2018] [Revised: 03/27/2019] [Accepted: 03/27/2019] [Indexed: 01/04/2023] Open
Abstract
PURPOSE To perform a multi-centre survey on the eye lens equivalent dose absorbed by primary interventionalist during catheterization procedures, using a personal dosimeter placed close to the eye lens. METHODS 15 different cardiologists working in 3 different centers, for a total of 5 operating rooms were enrolled. All of them were provided with a single thermoluminescent dosimeter positioned on the inner side of the temples of eyeglasses. The dose monitoring, performed on a two-months basis, started in 2016 and is still running. All dose measurements were performed by a ISO 17025 standard accredited dosimetry service thus providing certified uncertainties as well. Correlation of eye lens and wrist dose with KAP was also investigated. RESULTS A total number of 101 eye lens measurements were performed. Annual eye lens dose estimation was obtained for all 15 surgeons (mean, mode, range, standard deviation: 10.8, 8, 4.9-27.3, 5.6 mSv, respectively). Uncertainties on annual eye lens dose estimations ranged between 10% and 20%. No significant correlation was found between eye lens dose and KAP. CONCLUSIONS Cardiologists involved in catheterization procedures may receive annual eye lens doses close to the ICRP 118 dose limit and thus individual monitoring with a dedicated dosimeter should be carried out. Uncertainty assessment play a relevant role in eye lens equivalent dose estimation to ensure not to exceed dose limit.
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Affiliation(s)
- Margherita Betti
- Azienda Usl Toscana Centro, Medical Physics Unit Pistoia Prato, Italy
| | | | - Giacomo Belli
- Azienda Ospedaliero-Universitaria Careggi, Medical Physics Unit, Firenze, Italy
| | - Luca Bernardi
- Azienda Usl Toscana Centro, Medical Physics Unit Pistoia Prato, Italy
| | - Sara Bicchi
- Azienda Usl Toscana Centro, Medical Physics Unit Pistoia Prato, Italy
| | - Simone Busoni
- Azienda Ospedaliero-Universitaria Careggi, Medical Physics Unit, Firenze, Italy
| | - David Fedele
- Azienda Usl Toscana Centro, Medical Physics Unit Pistoia Prato, Italy
| | - Luca Fedeli
- Università degli Studi di Firenze, Dipartimento di Fisica e Astronomia, Sesto Fiorentino, Firenze, Italy
| | - Chiara Gasperi
- Azienda Usl Toscana Sud-Est, Medical Physics Unit, Arezzo, Italy
| | - Cesare Gori
- Università degli Studi di Firenze, Dipartimento di Fisica e Astronomia, Sesto Fiorentino, Firenze, Italy; INFN, Sezione di Firenze, Sesto Fiorentino, Italy
| | | | - Adriana Taddeucci
- Azienda Ospedaliero-Universitaria Careggi, Medical Physics Unit, Firenze, Italy
| | | | - Angela Vaiano
- Azienda Usl Toscana Centro, Medical Physics Unit Pistoia Prato, Italy
| | - Francesco Rossi
- Azienda Ospedaliero-Universitaria Careggi, Medical Physics Unit, Firenze, Italy
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Coniglio A, Fedeli L, Belli G, Ciccarone A, Esposito M, Giannelli M, Gobbi G, Gori C, Mazzoni L, Nocetti L, Sghedoni R, Tarducci R, Altabella L, Belligotti E, Benelli M, Betti M, Caivano R, Carnì M, Chiappiniello A, Cimolai S, Cretti F, Fulcheri C, Gasperi C, Giacometti M, Levrero F, Lizio D, Luchinat C, Maieron M, Marzi S, Mascaro L, Mazzocchi S, Meliadò G, Morzenti S, Noferini L, Oberhofer N, Quattrocchi M, Ricci A, Taddeucci A, Tenori L, Torresin A, Busoni S. 20. Diffusion MRI and ADC accuracy at the isocenter: An AIFM multisite comparison study. Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.04.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Piffer S, Fedeli L, Busoni S, Gori C, Belli G. 236. Temporal stability of MRI: A simple QA for advanced techniques. Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.04.247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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30
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Fedeli L, Belli G, Ciccarone A, Coniglio A, Esposito M, Giannelli M, Gobbi G, Gori C, Mazzoni L, Nocetti L, Sghedoni R, Tarducci R, Altabella L, Belligotti E, Benelli M, Betti M, Caivano R, Carnì M, Chiappiniello A, Cimolai S, Cretti F, Fulcheri C, Gasperi C, Giacometti M, Levrero F, Lizio D, Luchinat C, Maieron M, Marzi S, Mascaro L, Mazzocchi S, Meliadò G, Morzenti S, Noferini L, Oberhofer N, Quattrocchi M, Ricci A, Taddeucci A, Tenori L, Torresin A, Busoni S. 21 Phase encoding direction and position effects on ADC in diffusion MRI: An AFIM multisite comparison study. Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.04.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Busoni S, Taddeucci A, Gori C, Ambrogetti D, Mazzalupo V, Carnesciali E, Falini P, Mantellini P, Fedeli L. 111. Dose optimization in mammographic screening: results from ten years invigilation. Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.04.121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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Belli G, Fedeli L, Busoni S, Gori C. 235. Diffusion tensor imaging (DTI) in MRI: Gradient correction measurements. Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.04.246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Rossi F, Belli G, Fedeli L, Gori C, Genovese E, Cannatà V, Busoni S. 95. Pre and Post-Operative Radiation Protection in Ru-106 Opthalmic Brachytherapy. Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.04.105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Strocchi S, Oberhofer N, Matheoud R, Mangili P, Busoni S. 258. Preliminary survey on incidents and near-missed in Magnetic Resonance Imaging. Phys Med 2018. [DOI: 10.1016/j.ejmp.2018.04.269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Fedeli L, Belli G, Ciccarone A, Coniglio A, Esposito M, Giannelli M, Mazzoni LN, Nocetti L, Sghedoni R, Tarducci R, Altabella L, Belligotti E, Benelli M, Betti M, Caivano R, Carni' M, Chiappiniello A, Cimolai S, Cretti F, Fulcheri C, Gasperi C, Giacometti M, Levrero F, Lizio D, Maieron M, Marzi S, Mascaro L, Mazzocchi S, Meliado' G, Morzenti S, Noferini L, Oberhofer N, Quattrocchi MG, Ricci A, Taddeucci A, Tenori L, Luchinat C, Gobbi G, Gori C, Busoni S. Dependence of apparent diffusion coefficient measurement on diffusion gradient direction and spatial position - A quality assurance intercomparison study of forty-four scanners for quantitative diffusion-weighted imaging. Phys Med 2018; 55:135-141. [PMID: 30342982 DOI: 10.1016/j.ejmp.2018.09.007] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 09/09/2018] [Accepted: 09/18/2018] [Indexed: 12/15/2022] Open
Abstract
PURPOSE To propose an MRI quality assurance procedure that can be used for routine controls and multi-centre comparison of different MR-scanners for quantitative diffusion-weighted imaging (DWI). MATERIALS AND METHODS 44 MR-scanners with different field strengths (1 T, 1.5 T and 3 T) were included in the study. DWI acquisitions (b-value range 0-1000 s/mm2), with three different orthogonal diffusion gradient directions, were performed for each MR-scanner. All DWI acquisitions were performed by using a standard spherical plastic doped water phantom. Phantom solution ADC value and its dependence with temperature was measured using a DOSY sequence on a 600 MHz NMR spectrometer. Apparent diffusion coefficient (ADC) along each diffusion gradient direction and mean ADC were estimated, both at magnet isocentre and in six different position 50 mm away from isocentre, along positive and negative AP, RL and HF directions. RESULTS A good agreement was found between the nominal and measured mean ADC at isocentre: more than 90% of mean ADC measurements were within 5% from the nominal value, and the highest deviation was 11.3%. Away from isocentre, the effect of the diffusion gradient direction on ADC estimation was larger than 5% in 47% of included scanners and a spatial non uniformity larger than 5% was reported in 13% of centres. CONCLUSION ADC accuracy and spatial uniformity can vary appreciably depending on MR scanner model, sequence implementation (i.e. gradient diffusion direction) and hardware characteristics. The DWI quality assurance protocol proposed in this study can be employed in order to assess the accuracy and spatial uniformity of estimated ADC values, in single- as well as multi-centre studies.
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Affiliation(s)
- Luca Fedeli
- Università degli Studi di Firenze, Firenze, Italy.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Marta Maieron
- A.S.U.I. Udine S. Maria della Misericordia, Udine, Italy
| | | | | | | | | | | | | | | | | | | | | | - Leonardo Tenori
- Magnetic Resonance Center (CERM), Università degli Studi di Firenze, Firenze, Italy
| | - Claudio Luchinat
- Magnetic Resonance Center (CERM), Università degli Studi di Firenze, Firenze, Italy
| | | | - Cesare Gori
- Università degli Studi di Firenze, Firenze, Italy
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Sghedoni R, Coniglio A, Mazzoni LN, Busoni S, Belli G, Tarducci R, Nocetti L, Fedeli L, Esposito M, Ciccarone A, Altabella L, Bellini A, Binotto L, Caivano R, Carnì M, Ricci A, Cimolai S, D'Urso D, Gasperi C, Levrero F, Mangili P, Morzenti S, Nitrosi A, Oberhofer N, Parruccini N, Toncelli A, Valastro LM, Gori C, Gobbi G, Giannelli M. A straightforward multiparametric quality control protocol for proton magnetic resonance spectroscopy: Validation and comparison of various 1.5 T and 3 T clinical scanner systems. Phys Med 2018; 54:49-55. [PMID: 30337010 DOI: 10.1016/j.ejmp.2018.08.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [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: 04/06/2018] [Revised: 07/25/2018] [Accepted: 08/13/2018] [Indexed: 02/08/2023] Open
Abstract
PURPOSE The aim of this study was to propose and validate across various clinical scanner systems a straightforward multiparametric quality assurance procedure for proton magnetic resonance spectroscopy (MRS). METHODS Eighteen clinical 1.5 T and 3 T scanner systems for MRS, from 16 centres and 3 different manufacturers, were enrolled in the study. A standard spherical water phantom was employed by all centres. The acquisition protocol included 3 sets of single (isotropic) voxel (size 20 mm) PRESS acquisitions with unsuppressed water signal and acquisition voxel position at isocenter as well as off-center, repeated 4/5 times within approximately 2 months. Water peak linewidth (LW) and area under the water peak (AP) were estimated. RESULTS LW values [mean (standard deviation)] were 1.4 (1.0) Hz and 0.8 (0.3) Hz for 3 T and 1.5 T scanners, respectively. The mean (standard deviation) (across all scanners) coefficient of variation of LW and AP for different spatial positions of acquisition voxel were 43% (20%) and 11% (11%), respectively. The mean (standard deviation) phantom T2values were 1145 (50) ms and 1010 (95) ms for 1.5 T and 3 T scanners, respectively. The mean (standard deviation) (across all scanners) coefficients of variation for repeated measurements of LW, AP and T2 were 25% (20%), 10% (14%) and 5% (2%), respectively. CONCLUSIONS We proposed a straightforward multiparametric and not time consuming quality control protocol for MRS, which can be included in routine and periodic quality assurance procedures. The protocol has been validated and proven to be feasible in a multicentre comparison study of a fairly large number of clinical 1.5 T and 3 T scanner systems.
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Affiliation(s)
| | - Angela Coniglio
- Medical Physics Unit, Ospedale San Giovanni Calibita Fatebenefratelli, Roma, Italy.
| | | | | | | | - Roberto Tarducci
- Health Physics Unit, Azienda Ospedaliera di Perugia, Perugia, Italy
| | - Luca Nocetti
- Health Physics Unit, Azienda Ospedaliera di Modena, Modena, Italy
| | - Luca Fedeli
- Physics and Astronomy Department, University of Florence, Firenze, Italy
| | - Marco Esposito
- Health Physics Unit, Azienda USL Toscana Centro, Firenze, Italy
| | | | | | | | - Luca Binotto
- Medical Physics Unit, Azienda ULSS 3 Serenissima, Mestre, Italy
| | - Rocchina Caivano
- Radiotherapy and Health Physics Unit, IRCCS CROB, Rionero in Vulture - Potenza, Italy
| | - Marco Carnì
- Health Physics Unit, Policlinico Umberto I, Roma, Italy
| | | | - Sara Cimolai
- Health Physics Unit, Azienda ULSS 2 Marca Trevigiana, Treviso, Italy
| | - Davide D'Urso
- Health Physics Unit, Azienda ULSS 2 Marca Trevigiana, Treviso, Italy
| | - Chiara Gasperi
- Health Physics Unit, Azienda USL Toscana Sud Est, Arezzo, Italy
| | - Fabrizio Levrero
- Medical and Health Physics Unit, IRCCS AOU San Martino, Genova, Italy
| | - Paola Mangili
- Medical Physics Unit, IRCCS San Raffaele, Milano, Italy
| | | | - Andrea Nitrosi
- Medical Physics Unit, Arcispedale Santa Maria Nuova - IRCCS, Reggio Emilia, Italy
| | - Nadia Oberhofer
- Health Physics, Azienda Sanitaria della Provincia Autonoma di Bolzano, Bolzano, Italy
| | | | | | | | - Cesare Gori
- Health Physics Unit, AOU Careggi, Firenze, Italy
| | - Gianni Gobbi
- Health Physics Unit, Azienda Ospedaliera di Perugia, Perugia, Italy
| | - Marco Giannelli
- Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Pisa, Italy
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Abstract
PURPOSE Our retrospective study sought to describe the spectrum of magnetic resonance imaging (MRI) features of primary hepatic lymphoma (PHL) by analyzing its morphological aspects, signal intensity before and after contrast agent (CA) administration, and diffusion-weighted imaging (DwI) with the apparent diffusion coefficient (ADC) values. METHODS A retrospective analysis was conducted on 25 patients with pathologically proven PHL who underwent MRI between January 2011 and December 2016. For the evaluation of the ADC, we used a control group of 87 patients (22 with hepatocellular carcinoma, 15 with cholangiocellular carcinoma, 23 with liver metastasis, 22 with focal nodular hyperplasia, and 5 with adenoma). Two radiologists evaluated the morphological features, the signal intensity before and after CA administration, and the DwI. The sensitivity and specificity of the ADC values in distinguishing the PHL lesions from other hepatic lesions were calculated by analyzing the receiver operating characteristic (ROC) curves. RESULTS Twenty-one patients had non-Hodgkin's lymphoma (18 had diffuse large B-cell lymphoma and three had mucosa-associated lymphoid tissue) and four had Hodgkin's lymphoma (nodular sclerosis). The PHL had a variable morphologic distribution (17 focal mass and eight multiple nodules) and mainly an insinuative growth (24/25). Usually, PHL was usually hypointense on the T1-weighted images (23/25) and hyperintense on the T2-weighted images (21/25); non-specific dynamic enhancement was found after CA administration, but in the hepatobiliary phase, PHL is mainly hypointense (92%). All PHLs showed a signal restriction in the DwI. The sensitivity and specificity in the differential diagnosis between PHL and the other malignant lesions were respectively 81.7% and 100%, with applying an ADC cut-off value of 0.918 × 10-3 mm2/s. CONCLUSION Although PHL is a rare disease and biopsy is still required, an MRI could be indicative. In our series, PHL showed an insinuative growth, hypointense signal in the hepatobiliary phase, signal restriction in the DwI, and an ADC value lower than that of the other hepatic lesions analyzed.
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Affiliation(s)
- Stefano Colagrande
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Linda Calistri
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy.
| | - Giulia Grazzini
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Cosimo Nardi
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Simone Busoni
- Medical Physics Department, University of Florence - Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy
| | - Giovanni Morana
- Department of Radiology, General Hospital Ca' Foncello, Piazza Ospedale 1, 31100, Treviso, Italy
| | - Luigi Grazioli
- Department of Radiology, University of Brescia "Spedali Civili", P.le Spedali Civili 1, 25123, Brescia, Italy
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Gadda D, Mazzoni LN, Pasquini L, Busoni S, Simonelli P, Giordano GP. Relationship between Apparent Diffusion Coefficients and MR Spectroscopy Findings in High-Grade Gliomas. J Neuroimaging 2016; 27:128-134. [DOI: 10.1111/jon.12350] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Accepted: 03/03/2016] [Indexed: 12/19/2022] Open
Affiliation(s)
- Davide Gadda
- Neuroradiology; Careggi University Hospital; Largo Palagi 1 50139 Florence Italy
| | | | - Luca Pasquini
- Neuroradiology, La Sapienza University; Sant'Andrea Hospital; Rome Italy
| | - Simone Busoni
- Health Physics; Careggi University Hospital; Florence Italy
| | - Paolo Simonelli
- Neuroradiology; Careggi University Hospital; Largo Palagi 1 50139 Florence Italy
| | - Gian Paolo Giordano
- Neuroradiology; Careggi University Hospital; Largo Palagi 1 50139 Florence Italy
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39
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Fedeli L, Busoni S, Fedi M, Saletti P, Taddeucci A. Temporal stability QA in functional magnetic resonance imaging. Phys Med 2016. [DOI: 10.1016/j.ejmp.2016.01.440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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40
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Sghedoni R, Coniglio A, Belli G, Busoni S, Ciccarone A, Esposito M, Giannelli M, Mazzoni L, Nocetti L, Tarducci R, Altabella I, Anoja R, Berardi P, Bertolini N, Biagini C, Carnì M, Cesana P, Cimolai S, Clemente S, Fabbri E, Fedeli L, Filice S, Levrero F, Meliadò G, Mordini N, Morzenti S, Moscato A, Oberhofer N, Paruccini N, Ricci A, Romeo N, Scelfo D, Toncelli A, Torresin A, Tosetti M, Zucca I, Gori C. AIFM multicenter intercomparison of MR scanners for proton spectroscopy – preliminary results. Phys Med 2016. [DOI: 10.1016/j.ejmp.2016.01.459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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41
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Belli G, Busoni S, Ciccarone A, Coniglio A, Esposito M, Giannelli M, Mazzoni LN, Nocetti L, Sghedoni R, Tarducci R, Zatelli G, Anoja RA, Belmonte G, Bertolino N, Betti M, Biagini C, Ciarmatori A, Cretti F, Fabbri E, Fedeli L, Filice S, Fulcheri CPL, Gasperi C, Mangili PA, Mazzocchi S, Meliadò G, Morzenti S, Noferini L, Oberhofer N, Orsingher L, Paruccini N, Princigalli G, Quattrocchi M, Rinaldi A, Scelfo D, Freixas GV, Tenori L, Zucca I, Luchinat C, Gori C, Gobbi G. Quality assurance multicenter comparison of different MR scanners for quantitative diffusion-weighted imaging. J Magn Reson Imaging 2015; 43:213-9. [PMID: 26013043 DOI: 10.1002/jmri.24956] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Accepted: 05/11/2015] [Indexed: 12/13/2022] Open
Abstract
PURPOSE To propose a magnetic resonance imaging (MRI) quality assurance procedure that can be used for multicenter comparison of different MR scanners for quantitative diffusion-weighted imaging (DWI). MATERIALS AND METHODS Twenty-six centers (35 MR scanners with field strengths: 1T, 1.5T, and 3T) were enrolled in the study. Two different DWI acquisition series (b-value ranges 0-1000 and 0-3000 s/mm(2) , respectively) were performed for each MR scanner. All DWI acquisitions were performed by using a cylindrical doped water phantom. Mean apparent diffusion coefficient (ADC) values as well as ADC values along each of the three main orthogonal directions of the diffusion gradients (x, y, and z) were calculated. Short-term repeatability of ADC measurement was evaluated for 26 MR scanners. RESULTS A good agreement was found between the nominal and measured mean ADC over all the centers. More than 80% of mean ADC measurements were within 5% from the nominal value, and the highest deviation and overall standard deviation were 9.3% and 3.5%, respectively. Short-term repeatability of ADC measurement was found <2.5% for all MR scanners. CONCLUSION A specific and widely accepted protocol for quality controls in DWI is still lacking. The DWI quality assurance protocol proposed in this study can be applied in order to assess the reliability of DWI-derived indices before tackling single- as well as multicenter studies.
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Affiliation(s)
| | | | | | - Angela Coniglio
- Medical Physics Department, Fondazione Fatebenefratelli per la Ricerca e la Formazione sanitaria e sociale, San Giovanni Calibita Hospital, Rome, Italy
| | | | | | | | - Luca Nocetti
- Medical Phisics Department, AOU Policlinico Modena, Italy
| | - Roberto Sghedoni
- Medical Physics Unit, Arcispedale Santa Maria Nuova - IRCCS, Reggio Emilia, Italy
| | | | | | | | | | - Nicola Bertolino
- UO Direzione Sanitaria, IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Margherita Betti
- Health Physics Unit, Centro Oncologico Fiorentino, Sesto Fiorentino, Italy
| | - Cristiano Biagini
- Radiodiagnostic Unit, Centro Oncologico Fiorentino, Sesto Fiorentino, Italy
| | | | | | - Emma Fabbri
- Health Physics Unit, Ospedale Sant'Orsola-Malpighi, Bologna, Italy
| | - Luca Fedeli
- Health Physics Unit, AOU Careggi, Florence, Italy
| | | | | | | | | | | | | | | | | | - Nadia Oberhofer
- Health Physics Unit, Azienda Sanitaria dell'Alto Adige-Ospedale Bolzano, Italy
| | - Laura Orsingher
- Medical Physics Unit, Arcispedale Santa Maria Nuova - IRCCS, Reggio Emilia, Italy
| | | | | | | | - Adele Rinaldi
- Medical Physics Department, Fondazione Fatebenefratelli per la Ricerca e la Formazione sanitaria e sociale, San Giovanni Calibita Hospital, Rome, Italy
| | - Danilo Scelfo
- Department of Developmental Neuroscience, Stella Maris Scientific Institute, Pisa, Italy
| | | | - Leonardo Tenori
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; FiorGen Foundation, Sesto Fiorentino, Italy
| | - Ileana Zucca
- UO Direzione Scientifica, IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Claudio Luchinat
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; FiorGen Foundation, Sesto Fiorentino, Italy
| | - Cesare Gori
- Health Physics Unit, AOU Careggi, Florence, Italy
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Mazzoni LN, Lucarini S, Chiti S, Busoni S, Gori C, Menchi I. Diffusion-weighted signal models in healthy and cancerous peripheral prostate tissues: Comparison of outcomes obtained at different b-values. J Magn Reson Imaging 2013; 39:512-8. [DOI: 10.1002/jmri.24184] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2012] [Accepted: 04/01/2013] [Indexed: 01/31/2023] Open
Affiliation(s)
- Lorenzo N. Mazzoni
- Health Physics Unit; Azienda Ospedaliero-Universitaria Careggi; Florence Italy
| | - Silvia Lucarini
- Medical Imaging Department; Azienda Ospedaliero-Universitaria Careggi; Florence Italy
| | - Stefano Chiti
- Medical Imaging Department; Azienda Ospedaliero-Universitaria Careggi; Florence Italy
| | - Simone Busoni
- Health Physics Unit; Azienda Ospedaliero-Universitaria Careggi; Florence Italy
| | - Cesare Gori
- Health Physics Unit; Azienda Ospedaliero-Universitaria Careggi; Florence Italy
| | - Ilario Menchi
- Medical Imaging Department; Azienda Ospedaliero-Universitaria Careggi; Florence Italy
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Mazzocchi S, Belli G, Busoni S, Gori C, Menchi I, Salucci P, Taddeucci A, Zatelli G. AEC set-up optimisation with computed radiography imaging. Radiat Prot Dosimetry 2005; 117:169-73. [PMID: 16461503 DOI: 10.1093/rpd/nci743] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Phototimer set-up is a critical procedure for dose and image quality optimisation in computed radiography (CR) systems. While a conventional radiography automatic exposure control device (AEC) can be calibrated in order to gain a constant optical density on the film independent of beam quality and patient size, CR detectors present a high dynamic range which allows a much larger dose interval, but with different image quality levels. CR leads to a less frequent exam repetition, but may produce quite noisy images if the exposure level on the plate is not correct. The aim of this work is to evaluate the performance of a CR plate (Agfa MD40) in order to optimally calibrate an AEC device. The plate response has been characterised in terms of digital signal, exposure on the plate and signal-to-noise ratio for different beam qualities, in a patient of standard size.
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Affiliation(s)
- S Mazzocchi
- S.O.D. Fisica Sanitaria, Azienda Ospedaliero-Universitaria Careggi, Viale Pieraccini 17, Florence, Italy.
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