Detectability of Head and Neck Cancer via New Computed Tomography Reconstruction Tools including Iterative Reconstruction and Metal Artifact Reduction

State-of-the-art technology in Computed Tomography (CT) includes iterative reconstruction algorithms (IR) and metal artefact reduction (MAR) techniques. The objective of the study is to show the benefits of this technology for the detection of primary and recurrent head and neck cancer. A total of 1...

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Autores principales:	Daniel Troeltzsch, Seyd Shnayien, Max Heiland, Kilian Kreutzer, Jan-Dirk Raguse, Bernd Hamm, Stefan M. Niehues
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	cancer diagnostics head and neck cancer OSCC SCC iterative reconstruction computed tomography Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/e4037b6ecf7f4d17a1686ab978cb0b16
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spelling	oai:doaj.org-article:e4037b6ecf7f4d17a1686ab978cb0b162021-11-25T17:22:06ZDetectability of Head and Neck Cancer via New Computed Tomography Reconstruction Tools including Iterative Reconstruction and Metal Artifact Reduction10.3390/diagnostics111121542075-4418https://doaj.org/article/e4037b6ecf7f4d17a1686ab978cb0b162021-11-01T00:00:00Zhttps://www.mdpi.com/2075-4418/11/11/2154https://doaj.org/toc/2075-4418State-of-the-art technology in Computed Tomography (CT) includes iterative reconstruction algorithms (IR) and metal artefact reduction (MAR) techniques. The objective of the study is to show the benefits of this technology for the detection of primary and recurrent head and neck cancer. A total of 131 patients underwent contrast-enhanced CT for diagnosis of primary and recurrent Head and Neck cancer; 110 patients were included. All scans were reconstructed using iterative reconstruction, and metal artifact reduction was applied when indicated. Tumor detectability was evaluated dichotomously. Histopathological findings were used as a standard of reference. Data were analyzed retrospectively, statistics was performed through diagnostic test characteristics. State-of-the-art Head and Neck CT showed a sensitivity of 0.83 (95% CI; 0.61–0.95) with 0.93 specificity (95% CI; 0.84–0.98) for primary tumor detection. Recurrent tumors were identified with a 0.94 sensitivity (95% CI; 0.71–0.99) and 0.93 specificity (95% CI; 0.84–0.98) in this study. Conclusion: State-of-the-art reconstruction tools improve the diagnostic quality of Head and Neck CT, especially for recurrent tumor detection, compared with data published for standard CT. IR and MAR are easily implemented in routine clinical settings and improve image evaluation by reducing artifacts and image noise while lowering radiation exposure.Daniel TroeltzschSeyd ShnayienMax HeilandKilian KreutzerJan-Dirk RaguseBernd HammStefan M. NiehuesMDPI AGarticlecancer diagnosticshead and neck cancerOSCCSCCiterative reconstructioncomputed tomographyMedicine (General)R5-920ENDiagnostics, Vol 11, Iss 2154, p 2154 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cancer diagnostics head and neck cancer OSCC SCC iterative reconstruction computed tomography Medicine (General) R5-920
spellingShingle	cancer diagnostics head and neck cancer OSCC SCC iterative reconstruction computed tomography Medicine (General) R5-920 Daniel Troeltzsch Seyd Shnayien Max Heiland Kilian Kreutzer Jan-Dirk Raguse Bernd Hamm Stefan M. Niehues Detectability of Head and Neck Cancer via New Computed Tomography Reconstruction Tools including Iterative Reconstruction and Metal Artifact Reduction
description	State-of-the-art technology in Computed Tomography (CT) includes iterative reconstruction algorithms (IR) and metal artefact reduction (MAR) techniques. The objective of the study is to show the benefits of this technology for the detection of primary and recurrent head and neck cancer. A total of 131 patients underwent contrast-enhanced CT for diagnosis of primary and recurrent Head and Neck cancer; 110 patients were included. All scans were reconstructed using iterative reconstruction, and metal artifact reduction was applied when indicated. Tumor detectability was evaluated dichotomously. Histopathological findings were used as a standard of reference. Data were analyzed retrospectively, statistics was performed through diagnostic test characteristics. State-of-the-art Head and Neck CT showed a sensitivity of 0.83 (95% CI; 0.61–0.95) with 0.93 specificity (95% CI; 0.84–0.98) for primary tumor detection. Recurrent tumors were identified with a 0.94 sensitivity (95% CI; 0.71–0.99) and 0.93 specificity (95% CI; 0.84–0.98) in this study. Conclusion: State-of-the-art reconstruction tools improve the diagnostic quality of Head and Neck CT, especially for recurrent tumor detection, compared with data published for standard CT. IR and MAR are easily implemented in routine clinical settings and improve image evaluation by reducing artifacts and image noise while lowering radiation exposure.
format	article
author	Daniel Troeltzsch Seyd Shnayien Max Heiland Kilian Kreutzer Jan-Dirk Raguse Bernd Hamm Stefan M. Niehues
author_facet	Daniel Troeltzsch Seyd Shnayien Max Heiland Kilian Kreutzer Jan-Dirk Raguse Bernd Hamm Stefan M. Niehues
author_sort	Daniel Troeltzsch
title	Detectability of Head and Neck Cancer via New Computed Tomography Reconstruction Tools including Iterative Reconstruction and Metal Artifact Reduction
title_short	Detectability of Head and Neck Cancer via New Computed Tomography Reconstruction Tools including Iterative Reconstruction and Metal Artifact Reduction
title_full	Detectability of Head and Neck Cancer via New Computed Tomography Reconstruction Tools including Iterative Reconstruction and Metal Artifact Reduction
title_fullStr	Detectability of Head and Neck Cancer via New Computed Tomography Reconstruction Tools including Iterative Reconstruction and Metal Artifact Reduction
title_full_unstemmed	Detectability of Head and Neck Cancer via New Computed Tomography Reconstruction Tools including Iterative Reconstruction and Metal Artifact Reduction
title_sort	detectability of head and neck cancer via new computed tomography reconstruction tools including iterative reconstruction and metal artifact reduction
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e4037b6ecf7f4d17a1686ab978cb0b16
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Detectability of Head and Neck Cancer via New Computed Tomography Reconstruction Tools including Iterative Reconstruction and Metal Artifact Reduction

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