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Reclassification of risk of malignancy with Percepta Genomic Sequencing Classifier following nondiagnostic bronchoscopy.
Raval, Abhijit A; Benn, Bryan S; Benzaquen, Sadia; Maouelainin, Nina; Johnson, Marla; Huang, Jing; Lofaro, Lori R; Ansari, Adeeb; Geurink, Corey; Kennedy, Giulia C; Bulman, William A; Kurman, Jonathan S.
  • Raval AA; Pulmonology, Anmed Health, Anderson, SC, USA. Electronic address: drravallung@gmail.com.
  • Benn BS; Division of Pulmonary and Critical Care, Medical College of Wisconsin, Milwaukee, WI, USA.
  • Benzaquen S; Division of Pulmonary, Critical Care, and Sleep Medicine, Einstein Healthcare, Phila, PA, USA.
  • Maouelainin N; Lung Health Solutions, Lansdale, PA, USA.
  • Johnson M; Veracyte, Inc., South San Francisco, CA, USA.
  • Huang J; Veracyte, Inc., South San Francisco, CA, USA.
  • Lofaro LR; Veracyte, Inc., South San Francisco, CA, USA.
  • Ansari A; Veracyte, Inc., South San Francisco, CA, USA.
  • Geurink C; Veracyte, Inc., South San Francisco, CA, USA.
  • Kennedy GC; Veracyte, Inc., South San Francisco, CA, USA.
  • Bulman WA; Veracyte, Inc., South San Francisco, CA, USA.
  • Kurman JS; Division of Pulmonary and Critical Care, Medical College of Wisconsin, Milwaukee, WI, USA.
Respir Med ; 204: 106990, 2022.
Article en En | MEDLINE | ID: mdl-36283245
ABSTRACT

INTRODUCTION:

Bronchoscopic sampling of pulmonary lesions suspicious for lung cancer is frequently nondiagnostic. A genomic sequencing classifier utilizing bronchial brushings obtained at the time of the bronchoscopy has been shown to provide an accurate reclassification of the risk of malignancy (ROM) based on pre-procedure risk. Our objectives for this study were to determine the frequency with which the classifier up- or down-classifies risk in regular clinical practice and to model the potential clinical utility of that reclassification.

METHODS:

This observational study retrospectively assessed data from four clinical sites that regularly use the genomic classifier in the bronchoscopic evaluation of indeterminate lesions. Demographics and pre-bronchoscopy ROM were recorded. The frequency of up- and down-classification was calculated. Modeling based on reclassification rates and the performance characteristics of the classifier was performed to demonstrate the potential clinical utility of the result.

RESULTS:

86 patients who underwent classifier testing following a nondiagnostic bronchoscopy were included. 45% of patients with high ROM prior to bronchoscopy were reclassified very high-risk. 38% of patients with intermediate ROM were up-or down-classified. 56% of patients with low ROM were reclassified to very low-risk. Overall, 42% of patients had a change in classification. 35% of the study cohort could potentially have avoided additional unnecessary procedures with subsequent guideline-adherent management.

CONCLUSIONS:

The classifier can guide decision-making following a nondiagnostic bronchoscopy, reclassifying risk in a significant percentage of cases. Use of the classifier should allow more patients with early-stage cancer to proceed directly to curative therapy while helping more patients with benign disease avoid further unnecessary procedures.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Broncoscopía / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Broncoscopía / Neoplasias Pulmonares Tipo de estudio: Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article