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Article ; Online: How imaging should properly be used in COVID-19 outbreak: an Italian experience.

Sverzellati, Nicola / Milone, Francesca / Balbi, Maurizio

Diagnostic and interventional radiology (Ankara, Turkey)

2020 Volume 26, Issue 3, Page(s) 204–206

MeSH term(s)	Betacoronavirus ; COVID-19 ; Communicable Disease Control/methods ; Coronavirus Infections/diagnostic imaging ; Disease Outbreaks/prevention & control ; Disease Outbreaks/statistics & numerical data ; Female ; Health Personnel ; Humans ; Infectious Disease Transmission, Patient-to-Professional/prevention & control ; Italy ; Male ; Occupational Health ; Pandemics/statistics & numerical data ; Pneumonia, Viral ; Radiography, Thoracic/methods ; SARS-CoV-2 ; Tomography, X-Ray Computed/methods
Keywords	covid19
Language	English
Publishing date	2020-03-20
Publishing country	Turkey
Document type	Journal Article
ZDB-ID	2184145-7
ISSN	1305-3612 ; 1305-3825
ISSN (online)	1305-3612
ISSN	1305-3825
DOI	10.5152/dir.2020.30320
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Automated Coronary Artery Calcium and Quantitative Emphysema in Lung Cancer Screening: Association With Mortality, Lung Cancer Incidence, and Airflow Obstruction.

Balbi, Maurizio / Sabia, Federica / Ledda, Roberta E / Milanese, Gianluca / Ruggirello, Margherita / Silva, Mario / Marchianò, Alfonso V / Sverzellati, Nicola / Pastorino, Ugo

Journal of thoracic imaging

2023 Volume 38, Issue 4, Page(s) W52–W63

Abstract: Purpose: To assess automated coronary artery calcium (CAC) and quantitative emphysema (percentage of low attenuation areas [%LAA]) for predicting mortality and lung cancer (LC) incidence in LC screening. To explore correlations between %LAA, CAC, and ... ...

Abstract	Purpose: To assess automated coronary artery calcium (CAC) and quantitative emphysema (percentage of low attenuation areas [%LAA]) for predicting mortality and lung cancer (LC) incidence in LC screening. To explore correlations between %LAA, CAC, and forced expiratory value in 1 second (FEV 1 ) and the discriminative ability of %LAA for airflow obstruction. Materials and methods: Baseline low-dose computed tomography scans of the BioMILD trial were analyzed using an artificial intelligence software. Univariate and multivariate analyses were performed to estimate the predictive value of %LAA and CAC. Harrell C -statistic and time-dependent area under the curve (AUC) were reported for 3 nested models (Model survey : age, sex, pack-years; Model survey-LDCT : Model survey plus %LAA plus CAC; Model final : Model survey-LDCT plus selected confounders). The correlations between %LAA, CAC, and FEV 1 and the discriminative ability of %LAA for airflow obstruction were tested using the Pearson correlation coefficient and AUC-receiver operating characteristic curve, respectively. Results: A total of 4098 volunteers were enrolled. %LAA and CAC independently predicted 6-year all-cause (Model final hazard ratio [HR], 1.14 per %LAA interquartile range [IQR] increase [95% CI, 1.05-1.23], 2.13 for CAC ≥400 [95% CI, 1.36-3.28]), noncancer (Model final HR, 1.25 per %LAA IQR increase [95% CI, 1.11-1.37], 3.22 for CAC ≥400 [95%CI, 1.62-6.39]), and cardiovascular (Model final HR, 1.25 per %LAA IQR increase [95% CI, 1.00-1.46], 4.66 for CAC ≥400, [95% CI, 1.80-12.58]) mortality, with an increase in concordance probability in Model survey-LDCT compared with Model survey ( P <0.05). No significant association with LC incidence was found after adjustments. Both biomarkers negatively correlated with FEV 1 ( P <0.01). %LAA identified airflow obstruction with a moderate discriminative ability (AUC, 0.738). Conclusions: Automated CAC and %LAA added prognostic information to age, sex, and pack-years for predicting mortality but not LC incidence in an LC screening setting. Both biomarkers negatively correlated with FEV 1 , with %LAA enabling the identification of airflow obstruction with moderate discriminative ability.
MeSH term(s)	Humans ; Calcium ; Lung Neoplasms/complications ; Lung Neoplasms/diagnostic imaging ; Incidence ; Early Detection of Cancer ; Coronary Vessels ; Artificial Intelligence ; Pulmonary Emphysema/complications ; Pulmonary Emphysema/diagnostic imaging ; Emphysema/epidemiology ; Coronary Artery Disease/complications ; Coronary Artery Disease/diagnostic imaging
Chemical Substances	Calcium (SY7Q814VUP)
Language	English
Publishing date	2023-01-20
Publishing country	United States
Document type	Journal Article
ZDB-ID	632900-7
ISSN	1536-0237 ; 0883-5993
ISSN (online)	1536-0237
ISSN	0883-5993
DOI	10.1097/RTI.0000000000000698
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Article ; Online: Fully automated calcium scoring predicts all-cause mortality at 12 years in the MILD lung cancer screening trial.

Sabia, Federica / Balbi, Maurizio / Ledda, Roberta E / Milanese, Gianluca / Ruggirello, Margherita / Valsecchi, Camilla / Marchianò, Alfonso / Sverzellati, Nicola / Pastorino, Ugo

PloS one

2023 Volume 18, Issue 5, Page(s) e0285593

Abstract: Coronary artery calcium (CAC) is a known risk factor for cardiovascular (CV) events and mortality but is not yet routinely evaluated in low-dose computed tomography (LDCT)-based lung cancer screening (LCS). The present analysis explored the capacity of a ...

Abstract	Coronary artery calcium (CAC) is a known risk factor for cardiovascular (CV) events and mortality but is not yet routinely evaluated in low-dose computed tomography (LDCT)-based lung cancer screening (LCS). The present analysis explored the capacity of a fully automated CAC scoring to predict 12-year mortality in the Multicentric Italian Lung Detection (MILD) LCS trial. The study included 2239 volunteers of the MILD trial who underwent a baseline LDCT from September 2005 to January 2011, with a median follow-up of 190 months. The CAC score was measured by a commercially available fully automated artificial intelligence (AI) software and stratified into five strata: 0, 1-10, 11-100, 101-400, and > 400. Twelve-year all-cause mortality was 8.5% (191/2239) overall, 3.2% with CAC = 0, 4.9% with CAC = 1-10, 8.0% with CAC = 11-100, 11.5% with CAC = 101-400, and 17% with CAC > 400. In Cox proportional hazards regression analysis, CAC > 400 was associated with a higher 12-year all-cause mortality both in a univariate model (hazard ratio, HR, 5.75 [95% confidence interval, CI, 2.08-15.92] compared to CAC = 0) and after adjustment for baseline confounders (HR, 3.80 [95%CI, 1.35-10.74] compared to CAC = 0). All-cause mortality significantly increased with increasing CAC (7% in CAC ≤ 400 vs. 17% in CAC > 400, Log-Rank p-value <0.001). Non-cancer at 12 years mortality was 3% (67/2239) overall, 0.8% with CAC = 0, 1.0% with CAC = 1-10, 2.9% with CAC = 11-100, 3.6% with CAC = 101-400, and 8.2% with CAC > 400 (Grey's test p < 0.001). In Fine and Gray's competing risk model, CAC > 400 predicted 12-year non-cancer mortality in a univariate model (sub-distribution hazard ratio, SHR, 10.62 [95% confidence interval, CI, 1.43-78.98] compared to CAC = 0), but the association was no longer significant after adjustment for baseline confounders. In conclusion, fully automated CAC scoring was effective in predicting all-cause mortality at 12 years in a LCS setting.
MeSH term(s)	Humans ; Coronary Artery Disease/complications ; Calcium ; Early Detection of Cancer ; Artificial Intelligence ; Risk Assessment ; Lung Neoplasms ; Risk Factors ; Vascular Calcification/complications
Chemical Substances	Calcium (SY7Q814VUP)
Language	English
Publishing date	2023-05-16
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0285593
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: How imaging should properly be used in COVID-19 outbreak: an Italian experience

Sverzellati, Nicola / Milone, Francesca / Balbi, Maurizio

Diagn Interv Radiol

Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #23342
Database	COVID19

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Article: Incidental cardiac aspergillomas in an immunocompromised woman.

Balbi, Maurizio / Dapoto, Annarita / Brambilla, Paolo / Senni, Michele / Sironi, Sandro

Radiology case reports

2019 Volume 15, Issue 2, Page(s) 120–124

Abstract: We report a case of 3 autopsy proven incidental cardiac aspergillomas, a rare and yet deadly manifestation caused ... ...

Abstract	We report a case of 3 autopsy proven incidental cardiac aspergillomas, a rare and yet deadly manifestation caused by
Language	English
Publishing date	2019-11-22
Publishing country	Netherlands
Document type	Case Reports
ZDB-ID	2406300-9
ISSN	1930-0433
ISSN	1930-0433
DOI	10.1016/j.radcr.2019.10.025
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Article: Interstitial lung abnormalities: new insights between theory and clinical practice.

Ledda, Roberta Eufrasia / Milanese, Gianluca / Milone, Francesca / Leo, Ludovica / Balbi, Maurizio / Silva, Mario / Sverzellati, Nicola

Insights into imaging

2022 Volume 13, Issue 1, Page(s) 6

Abstract: Interstitial lung abnormalities (ILAs) represent radiologic abnormalities incidentally detected on chest computed tomography (CT) examination, potentially related to interstitial lung diseases (ILD). Numerous studies have demonstrated that ILAs are ... ...

Abstract	Interstitial lung abnormalities (ILAs) represent radiologic abnormalities incidentally detected on chest computed tomography (CT) examination, potentially related to interstitial lung diseases (ILD). Numerous studies have demonstrated that ILAs are associated with increased risk of progression toward pulmonary fibrosis and mortality. Some radiological patterns have been proven to be at a higher risk of progression. In this setting, the role of radiologists in reporting these interstitial abnormalities is critical. This review aims to discuss the most recent advancements in understanding this radiological entity and the open issues that still prevent the translation from theory to practice, emphasizing the importance of ILA recognition and adequately reporting in clinical practice.
Language	English
Publishing date	2022-01-15
Publishing country	Germany
Document type	Journal Article ; Review
ZDB-ID	2543323-4
ISSN	1869-4101
ISSN	1869-4101
DOI	10.1186/s13244-021-01141-z
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Article ; Online: Fully automated calcium scoring predicts all-cause mortality at 12 years in the MILD lung cancer screening trial.

Federica Sabia / Maurizio Balbi / Roberta E Ledda / Gianluca Milanese / Margherita Ruggirello / Camilla Valsecchi / Alfonso Marchianò / Nicola Sverzellati / Ugo Pastorino

PLoS ONE, Vol 18, Iss 5, p e

2023 Volume 0285593

Abstract	Coronary artery calcium (CAC) is a known risk factor for cardiovascular (CV) events and mortality but is not yet routinely evaluated in low-dose computed tomography (LDCT)-based lung cancer screening (LCS). The present analysis explored the capacity of a fully automated CAC scoring to predict 12-year mortality in the Multicentric Italian Lung Detection (MILD) LCS trial. The study included 2239 volunteers of the MILD trial who underwent a baseline LDCT from September 2005 to January 2011, with a median follow-up of 190 months. The CAC score was measured by a commercially available fully automated artificial intelligence (AI) software and stratified into five strata: 0, 1-10, 11-100, 101-400, and > 400. Twelve-year all-cause mortality was 8.5% (191/2239) overall, 3.2% with CAC = 0, 4.9% with CAC = 1-10, 8.0% with CAC = 11-100, 11.5% with CAC = 101-400, and 17% with CAC > 400. In Cox proportional hazards regression analysis, CAC > 400 was associated with a higher 12-year all-cause mortality both in a univariate model (hazard ratio, HR, 5.75 [95% confidence interval, CI, 2.08-15.92] compared to CAC = 0) and after adjustment for baseline confounders (HR, 3.80 [95%CI, 1.35-10.74] compared to CAC = 0). All-cause mortality significantly increased with increasing CAC (7% in CAC ≤ 400 vs. 17% in CAC > 400, Log-Rank p-value <0.001). Non-cancer at 12 years mortality was 3% (67/2239) overall, 0.8% with CAC = 0, 1.0% with CAC = 1-10, 2.9% with CAC = 11-100, 3.6% with CAC = 101-400, and 8.2% with CAC > 400 (Grey's test p < 0.001). In Fine and Gray's competing risk model, CAC > 400 predicted 12-year non-cancer mortality in a univariate model (sub-distribution hazard ratio, SHR, 10.62 [95% confidence interval, CI, 1.43-78.98] compared to CAC = 0), but the association was no longer significant after adjustment for baseline confounders. In conclusion, fully automated CAC scoring was effective in predicting all-cause mortality at 12 years in a LCS setting.
Keywords	Medicine ; R ; Science ; Q
Subject code	310
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Differential diagnosis of COVID-19 at the chest computed tomography scan: A review with special focus on cancer patients.

Perrone, Fabiana / Balbi, Maurizio / Casartelli, Chiara / Buti, Sebastiano / Milanese, Gianluca / Sverzellati, Nicola / Bersanelli, Melissa

World journal of radiology

2021 Volume 13, Issue 8, Page(s) 243–257

Abstract: Background: Given the several radiological features shared by coronavirus disease 2019 pneumonia and other infective or non-infective diseases with lung involvement, the differential diagnosis is often tricky, and no unequivocal tool exists to help the ... ...

Abstract	Background: Given the several radiological features shared by coronavirus disease 2019 pneumonia and other infective or non-infective diseases with lung involvement, the differential diagnosis is often tricky, and no unequivocal tool exists to help the radiologist in the proper diagnosis. Computed tomography is considered the gold standard in detecting pulmonary illness caused by severe acute respiratory syndrome coronavirus 2. Aim: To conduct a systematic review including the available studies evaluating computed tomography similarities and discrepancies between coronavirus disease 2019 pneumonia and other pulmonary illness, then providing a discussion focus on cancer patients. Methods: Using pertinent keywords, we performed a systematic review using PubMed to select relevant studies published until October 30, 2020. Results: Of the identified 133 studies, 18 were eligible and included in this review. Conclusion: Ground-glass opacity and consolidations are the most common computed tomography lesions in coronavirus disease 2019 pneumonia and other respiratory diseases. Only two studies included cancer patients, and the differential diagnosis with early lung cancer and radiation pneumonitis was performed. A single lesion associated with pleural effusion and lymphadenopathies in lung cancer and the onset of the lesions in the radiation field in the case of radiation pneumonitis allowed the differential diagnosis. Nevertheless, the studies were heterogeneous, and the type and prevalence of lesions, distributions, morphology, evolution, and additional signs, together with epidemiological, clinical, and laboratory findings, are crucial to help in the differential diagnosis.
Language	English
Publishing date	2021-09-15
Publishing country	United States
Document type	Journal Article
ZDB-ID	2573705-3
ISSN	1949-8470
ISSN	1949-8470
DOI	10.4329/wjr.v13.i8.243
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Article ; Online: Integrated Radiologic Algorithm for COVID-19 Pandemic.

Sverzellati, Nicola / Milanese, Gianluca / Milone, Francesca / Balbi, Maurizio / Ledda, Roberta E / Silva, Mario

Journal of thoracic imaging

2020 Volume 35, Issue 4, Page(s) 228–233

MeSH term(s)	Algorithms ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/diagnostic imaging ; Humans ; Italy ; Lung ; Pandemics ; Pneumonia, Viral/diagnostic imaging ; Radiographic Image Interpretation, Computer-Assisted/methods ; Radiography/methods ; SARS-CoV-2
Keywords	covid19
Language	English
Publishing date	2020-04-21
Publishing country	United States
Document type	Journal Article ; Randomized Controlled Trial
ZDB-ID	632900-7
ISSN	1536-0237 ; 0883-5993
ISSN (online)	1536-0237
ISSN	0883-5993
DOI	10.1097/RTI.0000000000000516
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Article ; Online: Dalbavancin in catheter-related bloodstream infections: a pilot study.

Venturini, Sergio / Reffo, Ingrid / Avolio, Manuela / Basaglia, Giancarlo / Del Fabro, Giovanni / Callegari, Astrid / Grembiale, Alessandro / Garlatti, Elena / Castaldo, Viviana / Tonizzo, Maurizio / Balbi, Massimiliano / Cevolani, Michele / Basso, Barbara / Pellis, Tommaso / Crapis, Massimo

Le infezioni in medicina

2023 Volume 31, Issue 2, Page(s) 250–256

Abstract: Background: Catheter-related bloodstream infections (CRBSI) represent a frequent complication of vascular catheterization, with high morbidity, mortality, and associated costs. Most infections are caused by Gram-positive bacteria; thus dalbavancin, a ... ...

Abstract	Background: Catheter-related bloodstream infections (CRBSI) represent a frequent complication of vascular catheterization, with high morbidity, mortality, and associated costs. Most infections are caused by Gram-positive bacteria; thus dalbavancin, a new long-acting lipoglicopeptide, may have a role in early patient discharge strategies optimizing treatment and reducing overall costs. Methods: In this small pilot feasibility study, we assessed the efficacy and safety of a "single step" treatment strategy combining dalbavancin administration (1500 mg IV single dose), catheter removal, and early discharge in adult patients admitted to medical wards in a three-year period. Results: We enrolled sixteen patients with confirmed Gram-positive CRBSI, with a mean age of 68 years and relevant comorbidities (median Charlson Comorbidity index=7). The most frequent causative agents were staphylococci, with 25% of methicillin-resistant strains, and the majority of infected devices were short term central venous catheter (CVC) and peripherally inserted central catheter (PICC). Ten out of sixteen patients had been treated empirically before dalbavancin administration. The mean time from dalbavancin administration to discharge was 2 days; none of the patients had adverse drug-related reactions; at 30- and 90-day follow-up, no patients have been readmitted to the hospital due to bacteraemia recurrence. Conclusions: Our results indicate that single-dose dalbavancin is highly effective, well-tolerated, and cost-saving for Gram-positive CRBSI.
Language	English
Publishing date	2023-06-01
Publishing country	Italy
Document type	Journal Article
ZDB-ID	2041081-5
ISSN	2532-8689 ; 1124-9390
ISSN (online)	2532-8689
ISSN	1124-9390
DOI	10.53854/liim-3102-14
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