Computer-aided detection system for lung cancer in computed tomography scans: review and future prospects

Firmino, Macedo; Morais, Antônio H; Mendoça, Roberto M; Dantas, Marcel R.; Hékis, Hélio Roberto; Valentim, Ricardo Alexsandro de Medeiros

Computer-aided detection system for lung cancer in computed tomography scans: review and future prospects

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dc.contributor.author	Firmino, Macedo
dc.contributor.author	Morais, Antônio H
dc.contributor.author	Mendoça, Roberto M
dc.contributor.author	Dantas, Marcel R.
dc.contributor.author	Hékis, Hélio Roberto
dc.contributor.author	Valentim, Ricardo Alexsandro de Medeiros
dc.date.accessioned	2020-06-30T13:39:59Z
dc.date.available	2020-06-30T13:39:59Z
dc.date.issued	2014-04-08
dc.description.resumo	Introduction: The goal of this paper is to present a critical review of major Computer-Aided Detection systems (CADe) for lung cancer in order to identify challenges for future research. CADe systems must meet the following requirements: improve the performance of radiologists providing high sensitivity in the diagnosis, a low number of false positives (FP), have high processing speed, present high level of automation, low cost (of implementation, training, support and maintenance), the ability to detect different types and shapes of nodules, and software security assurance. Methods: The relevant literature related to “CADe for lung cancer” was obtained from PubMed, IEEEXplore and Science Direct database. Articles published from 2009 to 2013, and some articles previously published, were used. A systemic analysis was made on these articles and the results were summarized. Discussion: Based on literature search, it was observed that many if not all systems described in this survey have the potential to be important in clinical practice. However, no significant improvement was observed in sensitivity, number of false positives, level of automation and ability to detect different types and shapes of nodules in the studied period. Challenges were presented for future research. Conclusions: Further research is needed to improve existing systems and propose new solutions. For this, we believe that collaborative efforts through the creation of open source software communities are necessary to develop a CADe system with all the requirements mentioned and with a short development cycle. In addition, future CADe systems should improve the level of automation, through integration with picture archiving and communication systems (PACS) and the electronic record of the patient, decrease the number of false positives, measure the evolution of tumors, evaluate the evolution of the oncological treatment, and its possible prognosis.	pt_BR
dc.identifier.citation	VALENTIM, R. A. M.; HEKIS, H. R.; DANTAS, M. C. R.; MENDONÇA, R. M.; FIRMINO, Macedo. Computer-aided detection system for lung cancer in computed tomography scans: review and future prospects.. Biomedical Engineering Online (Online), v. 13, p. 41-59, 2014. Disponível em: https://biomedical-engineering-online.biomedcentral.com/articles/10.1186/1475-925X-13-41. Acesso em: 24 jun. 2020. https://doi.org/10.1186/1475-925X-13-41	pt_BR
dc.identifier.doi	10.1186/1475-925X-13-41
dc.identifier.issn	1475-925X
dc.identifier.uri	https://repositorio.ufrn.br/jspui/handle/123456789/29378
dc.language	en	pt_BR
dc.publisher	BMC	pt_BR
dc.rights	Attribution 3.0 Brazil	*
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/br/	*
dc.subject	Computer-aided detection system	pt_BR
dc.subject	Lung cancer diagnosis	pt_BR
dc.subject	Medical image analysis	pt_BR
dc.subject	Detection of pulmonary nodules	pt_BR
dc.subject	CADe systems survey	pt_BR
dc.title	Computer-aided detection system for lung cancer in computed tomography scans: review and future prospects	pt_BR
dc.type	article	pt_BR