Quantitative image analysis for evaluation of tumor response in clinical oncology

The objective, accurate, and standardized evaluation of tumor response to treatment is an indispensable procedure in clinical oncology. Compared to manual measurement, computer-assisted linear measurement can significantly improve the accuracy and reproducibility of tumor burden quantification. For...

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Autores principales:	Wen-Li Cai, Guo-Bin Hong
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2018
Materias:	Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/fca4df0ff29a4272b6904ecc0d89215a
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spelling	oai:doaj.org-article:fca4df0ff29a4272b6904ecc0d89215a2021-12-02T12:57:26ZQuantitative image analysis for evaluation of tumor response in clinical oncology2095-882X10.1016/j.cdtm.2018.01.002https://doaj.org/article/fca4df0ff29a4272b6904ecc0d89215a2018-03-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2095882X17300543https://doaj.org/toc/2095-882XThe objective, accurate, and standardized evaluation of tumor response to treatment is an indispensable procedure in clinical oncology. Compared to manual measurement, computer-assisted linear measurement can significantly improve the accuracy and reproducibility of tumor burden quantification. For irregular-shaped and infiltrating or diffuse tumors, which are difficult to quantify by linear measurement, computer-assisted volumetric measurement may provide a more objective and sensitive quantification to evaluate tumor response to treatment than linear measurement does. In the evaluation of tumor response to novel oncologic treatments such as targeted therapy, changes in overall tumor size do not necessarily reflect tumor response to therapy due to the presence of internal necrosis or hemorrhages. This leads to a new generation of imaging biomarkers to evaluate tumor response by using texture analysis methods, also called radiomics. Computer-assisted texture analysis technology offers a more comprehensive and in-depth imaging biomarker to evaluate tumor response. The application of computer-assisted quantitative imaging analysis techniques not only reduces the inaccuracy and improves the reliability in tumor burden quantification, but facilitates the development of more comprehensive and intelligent approaches to evaluate treatment response, and hence promotes precision imaging in the evaluation of tumor response in clinical oncology. This article summarizes the state-of-the-art technical developments and clinical applications of quantitative imaging analysis in evaluation of tumor response in clinical oncology. Keywords: Quantitative image analysis, Tumor imaging biomarker, Response evaluationWen-Li CaiGuo-Bin HongKeAi Communications Co., Ltd.articleMedicine (General)R5-920ENChronic Diseases and Translational Medicine, Vol 4, Iss 1, Pp 18-28 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920
spellingShingle	Medicine (General) R5-920 Wen-Li Cai Guo-Bin Hong Quantitative image analysis for evaluation of tumor response in clinical oncology
description	The objective, accurate, and standardized evaluation of tumor response to treatment is an indispensable procedure in clinical oncology. Compared to manual measurement, computer-assisted linear measurement can significantly improve the accuracy and reproducibility of tumor burden quantification. For irregular-shaped and infiltrating or diffuse tumors, which are difficult to quantify by linear measurement, computer-assisted volumetric measurement may provide a more objective and sensitive quantification to evaluate tumor response to treatment than linear measurement does. In the evaluation of tumor response to novel oncologic treatments such as targeted therapy, changes in overall tumor size do not necessarily reflect tumor response to therapy due to the presence of internal necrosis or hemorrhages. This leads to a new generation of imaging biomarkers to evaluate tumor response by using texture analysis methods, also called radiomics. Computer-assisted texture analysis technology offers a more comprehensive and in-depth imaging biomarker to evaluate tumor response. The application of computer-assisted quantitative imaging analysis techniques not only reduces the inaccuracy and improves the reliability in tumor burden quantification, but facilitates the development of more comprehensive and intelligent approaches to evaluate treatment response, and hence promotes precision imaging in the evaluation of tumor response in clinical oncology. This article summarizes the state-of-the-art technical developments and clinical applications of quantitative imaging analysis in evaluation of tumor response in clinical oncology. Keywords: Quantitative image analysis, Tumor imaging biomarker, Response evaluation
format	article
author	Wen-Li Cai Guo-Bin Hong
author_facet	Wen-Li Cai Guo-Bin Hong
author_sort	Wen-Li Cai
title	Quantitative image analysis for evaluation of tumor response in clinical oncology
title_short	Quantitative image analysis for evaluation of tumor response in clinical oncology
title_full	Quantitative image analysis for evaluation of tumor response in clinical oncology
title_fullStr	Quantitative image analysis for evaluation of tumor response in clinical oncology
title_full_unstemmed	Quantitative image analysis for evaluation of tumor response in clinical oncology
title_sort	quantitative image analysis for evaluation of tumor response in clinical oncology
publisher	KeAi Communications Co., Ltd.
publishDate	2018
url	https://doaj.org/article/fca4df0ff29a4272b6904ecc0d89215a
work_keys_str_mv	AT wenlicai quantitativeimageanalysisforevaluationoftumorresponseinclinicaloncology AT guobinhong quantitativeimageanalysisforevaluationoftumorresponseinclinicaloncology
_version_	1718393603333554176

Quantitative image analysis for evaluation of tumor response in clinical oncology

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