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Article

Chest CT Computerized Aided Quantification of PNEUMONIA Lesions in COVID-19 Infection: A Comparison among Three Commercial Software

1
Division of Radiodiagnostic, “Università degli Studi della Campania Luigi Vanvitelli”, 80138 Naples, Italy
2
Department of Medical, Oral and Biotechnological Sciences—Radiology Unit “G. D’Annunzio” University of Chieti-Pescara, 66100 Chieti, Italy
3
Laboratory Medicine Unit, ASST Bergamo Est, 24068 Seriate, Italy
4
Department of Radiology, ASST Bergamo Est, 24068 Seriate, Italy
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Radiology Division, “Istituto Nazionale Tumori IRCCS Fondazione Pascale—IRCCS di Napoli”, 80131 Naples, Italy
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Diagnostic Imaging Unit, “Azienda Ospedaliera di Rilievo Nazionale Giuseppe Moscati”, 83100 Avellino, Italy
7
Division of Radiodiagnostic, Azienda Ospedaliero-Universitaria Careggi, 50139 Firenze, Italy
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(18), 6914; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17186914
Received: 1 August 2020 / Revised: 8 September 2020 / Accepted: 10 September 2020 / Published: 22 September 2020
(This article belongs to the Special Issue The COVID-19 Pandemic in Europe: Response to Challenges)
Purpose: To compare different commercial software in the quantification of Pneumonia Lesions in COVID-19 infection and to stratify the patients based on the disease severity using on chest computed tomography (CT) images. Materials and methods: We retrospectively examined 162 patients with confirmed COVID-19 infection by reverse transcriptase-polymerase chain reaction (RT-PCR) test. All cases were evaluated separately by radiologists (visually) and by using three computer software programs: (1) Thoracic VCAR software, GE Healthcare, United States; (2) Myrian, Intrasense, France; (3) InferRead, InferVision Europe, Wiesbaden, Germany. The degree of lesions was visually scored by the radiologist using a score on 5 levels (none, mild, moderate, severe, and critic). The parameters obtained using the computer tools included healthy residual lung parenchyma, ground-glass opacity area, and consolidation volume. Intraclass coefficient (ICC), Spearman correlation analysis, and non-parametric tests were performed. Results: Thoracic VCAR software was not able to perform volumes segmentation in 26/162 (16.0%) cases, Myrian software in 12/162 (7.4%) patients while InferRead software in 61/162 (37.7%) patients. A great variability (ICC ranged for 0.17 to 0.51) was detected among the quantitative measurements of the residual healthy lung parenchyma volume, GGO, and consolidations volumes calculated by different computer tools. The overall radiological severity score was moderately correlated with the residual healthy lung parenchyma volume obtained by ThoracicVCAR or Myrian software, with the GGO area obtained by the ThoracicVCAR tool and with consolidation volume obtained by Myrian software. Quantified volumes by InferRead software had a low correlation with the overall radiological severity score. Conclusions: Computer-aided pneumonia quantification could be an easy and feasible way to stratify COVID-19 cases according to severity; however, a great variability among quantitative measurements provided by computer tools should be considered. View Full-Text
Keywords: COVID-19; computed tomography; computer-aided quantification COVID-19; computed tomography; computer-aided quantification
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MDPI and ACS Style

Grassi, R.; Cappabianca, S.; Urraro, F.; Feragalli, B.; Montanelli, A.; Patelli, G.; Granata, V.; Giacobbe, G.; Russo, G.M.; Grillo, A.; De Lisio, A.; Paura, C.; Clemente, A.; Gagliardi, G.; Magliocchetti, S.; Cozzi, D.; Fusco, R.; Belfiore, M.P.; Grassi, R.; Miele, V. Chest CT Computerized Aided Quantification of PNEUMONIA Lesions in COVID-19 Infection: A Comparison among Three Commercial Software. Int. J. Environ. Res. Public Health 2020, 17, 6914. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17186914

AMA Style

Grassi R, Cappabianca S, Urraro F, Feragalli B, Montanelli A, Patelli G, Granata V, Giacobbe G, Russo GM, Grillo A, De Lisio A, Paura C, Clemente A, Gagliardi G, Magliocchetti S, Cozzi D, Fusco R, Belfiore MP, Grassi R, Miele V. Chest CT Computerized Aided Quantification of PNEUMONIA Lesions in COVID-19 Infection: A Comparison among Three Commercial Software. International Journal of Environmental Research and Public Health. 2020; 17(18):6914. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17186914

Chicago/Turabian Style

Grassi, Roberto, Salvatore Cappabianca, Fabrizio Urraro, Beatrice Feragalli, Alessandro Montanelli, Gianluigi Patelli, Vincenza Granata, Giuliana Giacobbe, Gaetano M. Russo, Assunta Grillo, Angela De Lisio, Cesare Paura, Alfredo Clemente, Giuliano Gagliardi, Simona Magliocchetti, Diletta Cozzi, Roberta Fusco, Maria P. Belfiore, Roberta Grassi, and Vittorio Miele. 2020. "Chest CT Computerized Aided Quantification of PNEUMONIA Lesions in COVID-19 Infection: A Comparison among Three Commercial Software" International Journal of Environmental Research and Public Health 17, no. 18: 6914. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17186914

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