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Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer: A secondary analysis of two prospective trials
BACKGROUND AND PURPOSE: Bioselection with induction chemotherapy in larynx cancer is associated with excellent larynx preservation and disease-specific survival but requires visual inspection of the primary tumor. We retrospectively compare clinical and imaging response in bioselected patients to de...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728046/ https://www.ncbi.nlm.nih.gov/pubmed/35024462 http://dx.doi.org/10.1016/j.ctro.2021.12.006 |
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author | Gharzai, Laila A. Pakela, Julia Jaworski, Elizabeth M. El Naqa, Issam Shah, Jennifer Hawkins, Peter G. Spector, Matthew E. Bradford, Carol R. Chinn, Steven B. Malloy, Kelly Kupfer, Robbi Shuman, Andrew Morrison, Robert Stucken, Chaz L. Rosko, Andrew Prince, Mark E. Casper, Keith Eisbruch, Avraham Wolf, Gregory Swiecicki, Paul L. Worden, Francis Mierzwa, Michelle L. |
author_facet | Gharzai, Laila A. Pakela, Julia Jaworski, Elizabeth M. El Naqa, Issam Shah, Jennifer Hawkins, Peter G. Spector, Matthew E. Bradford, Carol R. Chinn, Steven B. Malloy, Kelly Kupfer, Robbi Shuman, Andrew Morrison, Robert Stucken, Chaz L. Rosko, Andrew Prince, Mark E. Casper, Keith Eisbruch, Avraham Wolf, Gregory Swiecicki, Paul L. Worden, Francis Mierzwa, Michelle L. |
author_sort | Gharzai, Laila A. |
collection | PubMed |
description | BACKGROUND AND PURPOSE: Bioselection with induction chemotherapy in larynx cancer is associated with excellent larynx preservation and disease-specific survival but requires visual inspection of the primary tumor. We retrospectively compare clinical and imaging response in bioselected patients to develop predictive models of surgeon-assessed response (SR), laryngectomy-free survival (LFS), and overall survival (OS) in bioselected patients. MATERIALS AND METHODS: In a secondary analysis of patients on two single-institution bioselection trials, model building used a regularized regression model (elastic-net) and applied nested cross-validation. Logistic regression-based model was used to predict SR and Cox proportional hazard-based models were used to predict LFS and OS. RESULTS: In 115 patients with a median age of 57 years, most patients had supraglottic tumors (73.0%) and T3/T4 disease (94.8%). Definitive treatment was chemoradiation in 76.5% and laryngectomy in 23.5%. Change in primary tumor (OR = 5.78, p < 0.001) and N-classification (OR = 1.64, p = 0.003) predicted SR (AUC 0.847). Change in tumor volume (HR = 0.58, p < 0.001) predicted LFS (c-index 0.724). N-classification (HR = 1.48, p = 0.04) and pre-chemotherapy tumor volume (HR = 1.30, p = 0.174) predicted OS (c-index 0.552). CONCLUSIONS: Imaging offers a non-invasive opportunity to evaluate response to induction chemotherapy, complementary to surgeon assessment. Further evaluation of approaches to bioselection that optimize generalizability of this paradigm are needed, and clinical trials utilizing imaging to predict outcomes including LFS are warranted. |
format | Online Article Text |
id | pubmed-8728046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-87280462022-01-11 Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer: A secondary analysis of two prospective trials Gharzai, Laila A. Pakela, Julia Jaworski, Elizabeth M. El Naqa, Issam Shah, Jennifer Hawkins, Peter G. Spector, Matthew E. Bradford, Carol R. Chinn, Steven B. Malloy, Kelly Kupfer, Robbi Shuman, Andrew Morrison, Robert Stucken, Chaz L. Rosko, Andrew Prince, Mark E. Casper, Keith Eisbruch, Avraham Wolf, Gregory Swiecicki, Paul L. Worden, Francis Mierzwa, Michelle L. Clin Transl Radiat Oncol Original Research Article BACKGROUND AND PURPOSE: Bioselection with induction chemotherapy in larynx cancer is associated with excellent larynx preservation and disease-specific survival but requires visual inspection of the primary tumor. We retrospectively compare clinical and imaging response in bioselected patients to develop predictive models of surgeon-assessed response (SR), laryngectomy-free survival (LFS), and overall survival (OS) in bioselected patients. MATERIALS AND METHODS: In a secondary analysis of patients on two single-institution bioselection trials, model building used a regularized regression model (elastic-net) and applied nested cross-validation. Logistic regression-based model was used to predict SR and Cox proportional hazard-based models were used to predict LFS and OS. RESULTS: In 115 patients with a median age of 57 years, most patients had supraglottic tumors (73.0%) and T3/T4 disease (94.8%). Definitive treatment was chemoradiation in 76.5% and laryngectomy in 23.5%. Change in primary tumor (OR = 5.78, p < 0.001) and N-classification (OR = 1.64, p = 0.003) predicted SR (AUC 0.847). Change in tumor volume (HR = 0.58, p < 0.001) predicted LFS (c-index 0.724). N-classification (HR = 1.48, p = 0.04) and pre-chemotherapy tumor volume (HR = 1.30, p = 0.174) predicted OS (c-index 0.552). CONCLUSIONS: Imaging offers a non-invasive opportunity to evaluate response to induction chemotherapy, complementary to surgeon assessment. Further evaluation of approaches to bioselection that optimize generalizability of this paradigm are needed, and clinical trials utilizing imaging to predict outcomes including LFS are warranted. Elsevier 2021-12-23 /pmc/articles/PMC8728046/ /pubmed/35024462 http://dx.doi.org/10.1016/j.ctro.2021.12.006 Text en © 2021 Published by Elsevier B.V. on behalf of European Society for Radiotherapy and Oncology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Article Gharzai, Laila A. Pakela, Julia Jaworski, Elizabeth M. El Naqa, Issam Shah, Jennifer Hawkins, Peter G. Spector, Matthew E. Bradford, Carol R. Chinn, Steven B. Malloy, Kelly Kupfer, Robbi Shuman, Andrew Morrison, Robert Stucken, Chaz L. Rosko, Andrew Prince, Mark E. Casper, Keith Eisbruch, Avraham Wolf, Gregory Swiecicki, Paul L. Worden, Francis Mierzwa, Michelle L. Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer: A secondary analysis of two prospective trials |
title | Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer: A secondary analysis of two prospective trials |
title_full | Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer: A secondary analysis of two prospective trials |
title_fullStr | Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer: A secondary analysis of two prospective trials |
title_full_unstemmed | Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer: A secondary analysis of two prospective trials |
title_short | Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer: A secondary analysis of two prospective trials |
title_sort | imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer: a secondary analysis of two prospective trials |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8728046/ https://www.ncbi.nlm.nih.gov/pubmed/35024462 http://dx.doi.org/10.1016/j.ctro.2021.12.006 |
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