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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.
Afiliación
  • Gharzai LA; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
  • Pakela J; Applied Physics Program, University of Michigan, Ann Arbor, MI, United States.
  • Jaworski EM; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
  • El Naqa I; Applied Physics Program, University of Michigan, Ann Arbor, MI, United States.
  • Shah J; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
  • Hawkins PG; Department of Radiation Oncology, The Kaiser Permanente Medical Group, Rohnert Park, CA, United States.
  • Spector ME; Department of Otolaryngology, University of Michigan, Ann Arbor, MI, United States.
  • Bradford CR; Department of Otolaryngology, University of Michigan, Ann Arbor, MI, United States.
  • Chinn SB; Department of Otolaryngology, University of Michigan, Ann Arbor, MI, United States.
  • Malloy K; Department of Otolaryngology, University of Michigan, Ann Arbor, MI, United States.
  • Kupfer R; Department of Otolaryngology, University of Michigan, Ann Arbor, MI, United States.
  • Shuman A; Department of Otolaryngology, University of Michigan, Ann Arbor, MI, United States.
  • Morrison R; Department of Otolaryngology, University of Michigan, Ann Arbor, MI, United States.
  • Stucken CL; Department of Otolaryngology, University of Michigan, Ann Arbor, MI, United States.
  • Rosko A; Department of Otolaryngology, University of Michigan, Ann Arbor, MI, United States.
  • Prince ME; Department of Otolaryngology, University of Michigan, Ann Arbor, MI, United States.
  • Casper K; Department of Otolaryngology, University of Michigan, Ann Arbor, MI, United States.
  • Eisbruch A; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
  • Wolf G; Department of Otolaryngology, University of Michigan, Ann Arbor, MI, United States.
  • Swiecicki PL; Department of Medical Oncology, University of Michigan, Ann Arbor, MI, United States.
  • Worden F; Department of Medical Oncology, University of Michigan, Ann Arbor, MI, United States.
  • Mierzwa ML; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States.
Clin Transl Radiat Oncol ; 33: 30-36, 2022 Mar.
Article en En | MEDLINE | ID: mdl-35024462
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.
Palabras clave

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Transl Radiat Oncol Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Transl Radiat Oncol Año: 2022 Tipo del documento: Article