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Computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer

Ladwa, Rahul; Roberts, Kate E; O'Leary, Connor; Maggacis, Nicole; O'Byrne, Kenneth J; Miles, Kenneth; (2020) Computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer. Lung Cancer Management , 9 (3) , Article LMT38. 10.2217/lmt-2020-0002. Green open access

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Abstract

OBJECTIVES: Assess computed tomography texture analysis of patients likely to benefit from nivolumab. MATERIALS & METHODS: Texture analysis was used to quantify heterogeneity within the largest tumor before immunotherapy. Histogram analysis was classified as hyperdense (positive skewness) or hypodense (negative skewness) and subclassified on median standard deviation value or entropy measurement. RESULTS: 47 patients were included. At a median follow-up of 18 months, statistical significant differences in progression-free survival were observed when stratified by positive skewness with low entropy, hazard ratio: 0.43 (0.19-0.95); p = 0.036, and positive skewness with low standard deviation, hazard ratio: 0.42 (0.18-0.96); p = 0.04. CONCLUSION: Patients who derive a clinical benefit to Nivolumab show a computed tomography texture of a hyperdense yet homogenous tumor.

Type: Article
Title: Computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.2217/lmt-2020-0002
Publisher version: http://dx.doi.org/10.2217/lmt-2020-0002
Language: English
Additional information: © The Authors 2023. This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License. To view a copy of this license, visit (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: biomarker, imaging, immunotherapy, low entropy, lung cancer, nivolumab, positive skewness, radiomics, texture analysis
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
URI: https://discovery.ucl.ac.uk/id/eprint/10190632
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