Cargando…
Computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer
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 hyp...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Medicine Ltd
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399606/ https://www.ncbi.nlm.nih.gov/pubmed/32774469 http://dx.doi.org/10.2217/lmt-2020-0002 |
_version_ | 1783566173522100224 |
---|---|
author | Ladwa, Rahul Roberts, Kate E O’Leary, Connor Maggacis, Nicole O’Byrne, Kenneth J Miles, Kenneth |
author_facet | Ladwa, Rahul Roberts, Kate E O’Leary, Connor Maggacis, Nicole O’Byrne, Kenneth J Miles, Kenneth |
author_sort | Ladwa, Rahul |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7399606 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Future Medicine Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-73996062020-08-06 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 Lung Cancer Manag Research Article 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. Future Medicine Ltd 2020-07-22 /pmc/articles/PMC7399606/ /pubmed/32774469 http://dx.doi.org/10.2217/lmt-2020-0002 Text en © 2020 Rahul Ladwa This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Research Article Ladwa, Rahul Roberts, Kate E O’Leary, Connor Maggacis, Nicole O’Byrne, Kenneth J Miles, Kenneth Computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer |
title | Computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer |
title_full | Computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer |
title_fullStr | Computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer |
title_full_unstemmed | Computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer |
title_short | Computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer |
title_sort | computed tomography texture analysis of response to second-line nivolumab in metastatic non-small cell lung cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399606/ https://www.ncbi.nlm.nih.gov/pubmed/32774469 http://dx.doi.org/10.2217/lmt-2020-0002 |
work_keys_str_mv | AT ladwarahul computedtomographytextureanalysisofresponsetosecondlinenivolumabinmetastaticnonsmallcelllungcancer AT robertskatee computedtomographytextureanalysisofresponsetosecondlinenivolumabinmetastaticnonsmallcelllungcancer AT olearyconnor computedtomographytextureanalysisofresponsetosecondlinenivolumabinmetastaticnonsmallcelllungcancer AT maggacisnicole computedtomographytextureanalysisofresponsetosecondlinenivolumabinmetastaticnonsmallcelllungcancer AT obyrnekennethj computedtomographytextureanalysisofresponsetosecondlinenivolumabinmetastaticnonsmallcelllungcancer AT mileskenneth computedtomographytextureanalysisofresponsetosecondlinenivolumabinmetastaticnonsmallcelllungcancer |