Cargando…
Evaluation of Response to Immune Checkpoint Inhibitors Using a Radiomics, Lesion-Level Approach
SIMPLE SUMMARY: Unique responses such as hyperprogressive disease (HPD) and a dissociated response (DR) have been reported after immune checkpoint inhibitor (ICI) treatment, and these patterns are difficult to evaluate with conventional methods. The aim of this study was to evaluate radiomics featur...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657103/ https://www.ncbi.nlm.nih.gov/pubmed/34885160 http://dx.doi.org/10.3390/cancers13236050 |
_version_ | 1784612433204084736 |
---|---|
author | Song, Chorog Park, Hyunjin Lee, Ho Yun Lee, Seunghak Ahn, Joong Hyun Lee, Se-Hoon |
author_facet | Song, Chorog Park, Hyunjin Lee, Ho Yun Lee, Seunghak Ahn, Joong Hyun Lee, Se-Hoon |
author_sort | Song, Chorog |
collection | PubMed |
description | SIMPLE SUMMARY: Unique responses such as hyperprogressive disease (HPD) and a dissociated response (DR) have been reported after immune checkpoint inhibitor (ICI) treatment, and these patterns are difficult to evaluate with conventional methods. The aim of this study was to evaluate radiomics features of HPD at the lesion level, and to understand the clinical significance of a dissociated response. Our study revealed organ-specific radiomics features, likely reflecting the organ-specific microenvironment, that can be used to discriminate HPD. In addition, we observed that a dissociated response was associated with poor overall survival. A radiomic lesion-level approach shows great potential for response evaluation of ICI treatment. ABSTRACT: Conventional methods to determine the response to immune checkpoint inhibitors (ICIs) are limited by the unique responses to an ICI. We performed a radiomics approach for all measurable lesions to identify radiomic variables that could distinguish hyperprogressive disease (HPD) on baseline CT scans and classify a dissociated response (DR). One hundred and ninety-six patients with advanced lung cancer, treated with ICI monotherapy, who underwent at least three CT scans, were retrospectively enrolled. For all 621 measurable lesions, HPDv was determined from baseline CT scans using the tumor growth kinetics (TGK) ratio, and radiomics features were extracted. Multivariable logistic regression analysis of radiomics features was performed to discriminate DR. Radiomics features that significantly discriminated HPDv on baseline CT differed according to organ. Of the 196 patients, 54 (27.6%) had a DR and 142 (72.4%) did not have a DR. Overall survival in the group with a DR was significantly inferior to that in the group without a DR (log rank test, p = 0.04). Our study shows that lesion-level analysis using radiomics features has great potential for discriminating HPDv and understanding heterogeneous tumor progression, including a DR, after ICI treatment. |
format | Online Article Text |
id | pubmed-8657103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86571032021-12-10 Evaluation of Response to Immune Checkpoint Inhibitors Using a Radiomics, Lesion-Level Approach Song, Chorog Park, Hyunjin Lee, Ho Yun Lee, Seunghak Ahn, Joong Hyun Lee, Se-Hoon Cancers (Basel) Article SIMPLE SUMMARY: Unique responses such as hyperprogressive disease (HPD) and a dissociated response (DR) have been reported after immune checkpoint inhibitor (ICI) treatment, and these patterns are difficult to evaluate with conventional methods. The aim of this study was to evaluate radiomics features of HPD at the lesion level, and to understand the clinical significance of a dissociated response. Our study revealed organ-specific radiomics features, likely reflecting the organ-specific microenvironment, that can be used to discriminate HPD. In addition, we observed that a dissociated response was associated with poor overall survival. A radiomic lesion-level approach shows great potential for response evaluation of ICI treatment. ABSTRACT: Conventional methods to determine the response to immune checkpoint inhibitors (ICIs) are limited by the unique responses to an ICI. We performed a radiomics approach for all measurable lesions to identify radiomic variables that could distinguish hyperprogressive disease (HPD) on baseline CT scans and classify a dissociated response (DR). One hundred and ninety-six patients with advanced lung cancer, treated with ICI monotherapy, who underwent at least three CT scans, were retrospectively enrolled. For all 621 measurable lesions, HPDv was determined from baseline CT scans using the tumor growth kinetics (TGK) ratio, and radiomics features were extracted. Multivariable logistic regression analysis of radiomics features was performed to discriminate DR. Radiomics features that significantly discriminated HPDv on baseline CT differed according to organ. Of the 196 patients, 54 (27.6%) had a DR and 142 (72.4%) did not have a DR. Overall survival in the group with a DR was significantly inferior to that in the group without a DR (log rank test, p = 0.04). Our study shows that lesion-level analysis using radiomics features has great potential for discriminating HPDv and understanding heterogeneous tumor progression, including a DR, after ICI treatment. MDPI 2021-12-01 /pmc/articles/PMC8657103/ /pubmed/34885160 http://dx.doi.org/10.3390/cancers13236050 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Song, Chorog Park, Hyunjin Lee, Ho Yun Lee, Seunghak Ahn, Joong Hyun Lee, Se-Hoon Evaluation of Response to Immune Checkpoint Inhibitors Using a Radiomics, Lesion-Level Approach |
title | Evaluation of Response to Immune Checkpoint Inhibitors Using a Radiomics, Lesion-Level Approach |
title_full | Evaluation of Response to Immune Checkpoint Inhibitors Using a Radiomics, Lesion-Level Approach |
title_fullStr | Evaluation of Response to Immune Checkpoint Inhibitors Using a Radiomics, Lesion-Level Approach |
title_full_unstemmed | Evaluation of Response to Immune Checkpoint Inhibitors Using a Radiomics, Lesion-Level Approach |
title_short | Evaluation of Response to Immune Checkpoint Inhibitors Using a Radiomics, Lesion-Level Approach |
title_sort | evaluation of response to immune checkpoint inhibitors using a radiomics, lesion-level approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657103/ https://www.ncbi.nlm.nih.gov/pubmed/34885160 http://dx.doi.org/10.3390/cancers13236050 |
work_keys_str_mv | AT songchorog evaluationofresponsetoimmunecheckpointinhibitorsusingaradiomicslesionlevelapproach AT parkhyunjin evaluationofresponsetoimmunecheckpointinhibitorsusingaradiomicslesionlevelapproach AT leehoyun evaluationofresponsetoimmunecheckpointinhibitorsusingaradiomicslesionlevelapproach AT leeseunghak evaluationofresponsetoimmunecheckpointinhibitorsusingaradiomicslesionlevelapproach AT ahnjoonghyun evaluationofresponsetoimmunecheckpointinhibitorsusingaradiomicslesionlevelapproach AT leesehoon evaluationofresponsetoimmunecheckpointinhibitorsusingaradiomicslesionlevelapproach |