Intra-arterial therapies for liver cancer: assessing tumor response.

Autor: Stroehl YW; a Department of Diagnostic and Interventional Radiology , Charité , Berlin , Germany.; b Department of Radiology and Biomedical Imaging , Yale School of Medicine , New Haven , CT , USA., Letzen BS; b Department of Radiology and Biomedical Imaging , Yale School of Medicine , New Haven , CT , USA., van Breugel JM; b Department of Radiology and Biomedical Imaging , Yale School of Medicine , New Haven , CT , USA., Geschwind JF; b Department of Radiology and Biomedical Imaging , Yale School of Medicine , New Haven , CT , USA., Chapiro J; b Department of Radiology and Biomedical Imaging , Yale School of Medicine , New Haven , CT , USA.
Jazyk: angličtina
Zdroj: Expert review of anticancer therapy [Expert Rev Anticancer Ther] 2017 Feb; Vol. 17 (2), pp. 119-127. Date of Electronic Publication: 2016 Dec 27.
DOI: 10.1080/14737140.2017.1273775
Abstrakt: Introduction: Intra-arterial therapies (IATs) play an integral role in the management of unresectable hepatocellular carcinoma and liver metastases. The ability to accurately assess tumor response to intra-arterial therapies is crucial for clinical management. Several one- and two-dimensional manual imaging-based response assessment techniques, based both on tumor size or enhancement, have shown to be highly subjective and merely surrogate for the actual tumor as a whole. Areas covered: Given the currently existing literature, we will discuss all available tumor assessment techniques and criteria for liver cancer with a strong emphasis on 3D quantitative imaging biomarkers of tumor response in this review. Expert commentary: The growing role of information technology in medicine has brought about the advent of software-assisted, segmentation-based assessment techniques that address the outstanding issues of a subjective reader and provide for more accurate assessment techniques for the locally treated lesions. Three-dimensional quantitative tumor assessment techniques are superior to one- and two-dimensional measurements. This allows for treatment alterations and more precise targeting, potentially resulting in improved patient outcome.
Databáze: MEDLINE