Rafael Paez

Assistant Professor

Vanderbilt University Medical Center

United States

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About

Rafael Paez is an Assistant Professor at Vanderbilt University Medical Center in the United States. His research focuses on advancements in bronchoscopy techniques and their implications for lung cancer diagnostics, as reflected in his recent publications. Notable areas of study include the cost-effectiveness of navigational bronchoscopy and the evaluation of lung cancer prediction models.

Articles (17)

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2025

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UNITED STATES

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Rafael Paez

Research Interests

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Articles (17)

Conflicts of Interest in Bronchoscopy Research

Robotic versus Electromagnetic Bronchoscopy for Peripheral Pulmonary Lesions: A Randomized Trial (RELIANT)

Reply to Bertolaccini et al.: Small Nodules and Big Questions: A Closer Look at the RELIANT Trial

Keeping Up With Technological Innovation

<i>R</i>obotic versus <i>E</i>lectromagnetic bronchoscopy for pulmonary <i>L</i>es<i>I</i>on <i>A</i>ssessme<i>NT</i>: the RELIANT pragmatic randomized trial

Robotic versus Electromagnetic bronchoscopy for pulmonary LesIon AssessmeNT: the RELIANT pragmatic randomized trial

Diagnostic Yield vs Diagnostic Accuracy for Peripheral Lung Biopsy Evaluation

Cost-effectiveness of Rapid On-site Evaluation During Navigational Bronchoscopy

The Lung Cancer Prediction Model “Stress Test”

Evaluation of Lung Cancer Probability Models and Guideline Recommendations in Settings With a High Prevalence of Cancer

Diagnostic Yield vs Diagnostic Accuracy for Peripheral Lung Biopsy Evaluation Evidence Supporting a Future Pragmatic End Point

Update on Biomarkers for the Stratification of Indeterminate Pulmonary Nodules

Shape-Sensing Robotic-Assisted Bronchoscopy vs Digital Tomosynthesis-Corrected Electromagnetic Navigation Bronchoscopy

Assessing the clinical utility of biomarkers using the intervention probability curve (IPC).

Longitudinal lung cancer prediction convolutional neural network model improves the classification of indeterminate pulmonary nodules.

It Doesn't Smell Like Cancer to Me: The Promise of Exhaled Breath Biomarkers for Lung Cancer Diagnosis.

18F-FSPG PET imaging for the evaluation of indeterminate pulmonary nodules

Collaborators (7)

Michael Kammer

Otis Rickman

Sheau-Chiann Chen

Elisa Gordon

Jonathan Casey

Heidi Chen

Todd W. Rice

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