Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer: A secondary analysis of two prospective trials
dc.contributor.author | Gharzai, LA | |
dc.contributor.author | Pakela, J | |
dc.contributor.author | Jaworski, EM | |
dc.contributor.author | El Naqa, I | |
dc.contributor.author | Shah, J | |
dc.contributor.author | Hawkins, PG | |
dc.contributor.author | Spector, ME | |
dc.contributor.author | Bradford, CR | |
dc.contributor.author | Chinn, SB | |
dc.contributor.author | Malloy, K | |
dc.contributor.author | Kupfer, R | |
dc.contributor.author | Shuman, A | |
dc.contributor.author | Morrison, R | |
dc.contributor.author | Stucken, CL | |
dc.contributor.author | Rosko, A | |
dc.contributor.author | Prince, ME | |
dc.contributor.author | Casper, K | |
dc.contributor.author | Eisbruch, A | |
dc.contributor.author | Wolf, G | |
dc.contributor.author | Swiecicki, PL | |
dc.contributor.author | Worden, F | |
dc.contributor.author | Mierzwa, ML | |
dc.coverage.spatial | Ireland | |
dc.date.accessioned | 2024-01-09T17:20:41Z | |
dc.date.available | 2024-01-09T17:20:41Z | |
dc.date.issued | 2022-03-01 | |
dc.identifier.issn | 2405-6308 | |
dc.identifier.issn | 2405-6308 | |
dc.identifier.uri | https://www.ncbi.nlm.nih.gov/pubmed/35024462 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/191971 | en |
dc.description.abstract | 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. | |
dc.format.medium | Electronic-eCollection | |
dc.language | eng | |
dc.publisher | Elsevier | |
dc.rights | Licence for published version: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Bioselection imaging | |
dc.subject | Chemoradiation | |
dc.subject | Laryngectomy | |
dc.subject | Locally advanced laryngeal cancer | |
dc.title | Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer: A secondary analysis of two prospective trials | |
dc.type | Article | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/191971/2/Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer A secondary analysis of.pdf | |
dc.identifier.doi | 10.1016/j.ctro.2021.12.006 | |
dc.identifier.doi | https://dx.doi.org/10.7302/21972 | |
dc.identifier.source | Clinical and Translational Radiation Oncology | |
dc.description.version | Published version | |
dc.date.updated | 2024-01-09T17:20:36Z | |
dc.identifier.orcid | 0000-0003-3439-4899 | |
dc.identifier.orcid | 0000-0001-6023-1132 | |
dc.identifier.orcid | 0000-0002-3847-8865 | |
dc.identifier.orcid | 0000-0001-7646-6075 | |
dc.identifier.orcid | 0000-0003-4282-0640 | |
dc.identifier.orcid | 0000-0002-0337-9293 | |
dc.identifier.orcid | 0009-0000-0757-8348 | |
dc.identifier.orcid | 0000-0002-9305-7860 | |
dc.identifier.orcid | 0000-0002-2313-8542 | |
dc.identifier.orcid | 0000-0003-1448-3376 | |
dc.identifier.orcid | 0000-0001-6432-5451 | |
dc.identifier.orcid | 0000-0002-1120-9008 | |
dc.identifier.orcid | 0000-0003-2878-3863 | |
dc.identifier.orcid | 0000-0002-6632-4951 | |
dc.identifier.orcid | 0000-0002-3923-9970 | |
dc.description.filedescription | Description of Imaging response assessment for predicting outcomes after bioselection chemotherapy in larynx cancer A secondary analysis of.pdf : Published version | |
dc.identifier.volume | 33 | |
dc.identifier.startpage | 30 | |
dc.identifier.endpage | 36 | |
dc.identifier.name-orcid | Gharzai, LA | |
dc.identifier.name-orcid | Pakela, J | |
dc.identifier.name-orcid | Jaworski, EM; 0000-0003-3439-4899 | |
dc.identifier.name-orcid | El Naqa, I; 0000-0001-6023-1132 | |
dc.identifier.name-orcid | Shah, J; 0000-0002-3847-8865 | |
dc.identifier.name-orcid | Hawkins, PG | |
dc.identifier.name-orcid | Spector, ME; 0000-0001-7646-6075 | |
dc.identifier.name-orcid | Bradford, CR | |
dc.identifier.name-orcid | Chinn, SB; 0000-0003-4282-0640 | |
dc.identifier.name-orcid | Malloy, K; 0000-0002-0337-9293 | |
dc.identifier.name-orcid | Kupfer, R; 0009-0000-0757-8348 | |
dc.identifier.name-orcid | Shuman, A; 0000-0002-9305-7860 | |
dc.identifier.name-orcid | Morrison, R; 0000-0002-2313-8542 | |
dc.identifier.name-orcid | Stucken, CL; 0000-0003-1448-3376 | |
dc.identifier.name-orcid | Rosko, A; 0000-0001-6432-5451 | |
dc.identifier.name-orcid | Prince, ME; 0000-0002-1120-9008 | |
dc.identifier.name-orcid | Casper, K; 0000-0003-2878-3863 | |
dc.identifier.name-orcid | Eisbruch, A | |
dc.identifier.name-orcid | Wolf, G | |
dc.identifier.name-orcid | Swiecicki, PL | |
dc.identifier.name-orcid | Worden, F; 0000-0002-6632-4951 | |
dc.identifier.name-orcid | Mierzwa, ML; 0000-0002-3923-9970 | |
dc.working.doi | 10.7302/21972 | en |
dc.owningcollname | Radiation Oncology, Department of |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.