Eric L. Grogan

ORCID: 0000-0002-3886-9399
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About
Contact & Profiles
Research Areas
  • Lung Cancer Diagnosis and Treatment
  • Lung Cancer Treatments and Mutations
  • Radiomics and Machine Learning in Medical Imaging
  • Pleural and Pulmonary Diseases
  • Global Cancer Incidence and Screening
  • Medical Imaging and Pathology Studies
  • Medical Imaging Techniques and Applications
  • Esophageal and GI Pathology
  • Esophageal Cancer Research and Treatment
  • Tracheal and airway disorders
  • Gastric Cancer Management and Outcomes
  • Head and Neck Cancer Studies
  • Fungal Infections and Studies
  • Lung Cancer Research Studies
  • Cancer Genomics and Diagnostics
  • BRCA gene mutations in cancer
  • COVID-19 and healthcare impacts
  • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
  • Cardiac, Anesthesia and Surgical Outcomes
  • RNA modifications and cancer
  • Advanced X-ray and CT Imaging
  • Heart Rate Variability and Autonomic Control
  • Chronic Obstructive Pulmonary Disease (COPD) Research
  • Epigenetics and DNA Methylation
  • Ferroptosis and cancer prognosis

VA Tennessee Valley Healthcare System
2016-2025

Vanderbilt University Medical Center
2016-2025

Vanderbilt University
2005-2023

Vanderbilt-Ingram Cancer Center
2010-2023

RELX Group (United States)
2023

New York Proton Center
2023

Faculty of 1000 (United States)
2023

The Bronx Defenders
2023

Pulmonary and Allergy Associates
2021

Valley Health System
2014-2018

The United States Preventive Services Task Force (USPSTF) recommends low-dose computed tomography screening for lung cancer. However, USPSTF guidelines were derived from a study population including only 4% African American smokers, and racial differences in smoking patterns not considered.To evaluate the diagnostic accuracy of cancer eligibility criteria predominantly low-income cohort.The Southern Community Cohort Study prospectively enrolled adults visiting community health centers across...

10.1001/jamaoncol.2019.1402 article EN JAMA Oncology 2019-06-27

“Just Accepted” papers have undergone full peer review and been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, proof before it is published its final version. Please note that during production of the copyedited article, errors may be discovered which could affect content. Purpose To evaluate performance eight lung cancer prediction models on patient cohorts with screening-detected, incidentally-detected,...

10.1148/ryai.230506 article EN Radiology Artificial Intelligence 2025-02-05

The extraordinary demands of managing the COVID-19 pandemic has disrupted world's ability to care for patients with thoracic malignancies. As a hospital's population increases and hospital resources are depleted, provide surgical is progressively restricted, forcing surgeons prioritize among their cancer populations. Representatives from multiple cancer, surgical, research organizations have come together guide triaging malignancies as impact evolves each hospital.

10.1016/j.athoracsur.2020.03.005 article EN other-oa The Annals of Thoracic Surgery 2020-04-09

Rationale: Patients with indeterminate pulmonary nodules (IPNs) at risk of cancer undergo high rates invasive, costly, and morbid procedures. Objectives: To train externally validate a prediction model that combined clinical, blood, imaging biomarkers to improve the noninvasive management IPNs. Methods: In this prospectively collected, retrospective blinded evaluation study, probability was calculated for 456 patient using Mayo Clinic model, patients were categorized into low-,...

10.1164/rccm.202012-4438oc article EN American Journal of Respiratory and Critical Care Medicine 2021-08-31

Abstract Maps of Histoplasma capsulatum infection prevalence were created 50 years ago; since then, the environment, climate, and anthropogenic land use have changed drastically. Recent outbreaks acute disease in Montana Nebraska, USA, suggest shifts geographic distribution, necessitating updated maps. To create a weighted overlay suitability model for Histoplasma, we used information system to combine satellite imagery integrating cover (70%), distance water (20%), soil pH (10%). We...

10.3201/eid2410.180032 article EN cc-by Emerging infectious diseases 2018-10-01

Abstract Background: The heterogeneous biology of cancer subtypes, especially in lung cancer, poses significant challenges for biomarker development. Standard model building techniques often fall short accurately incorporating various histologic subtypes because their diverse biological characteristics. This study explores a nested to address this issue, aiming improve early detection. Methods: included 337 patients from two clinical sites. Blood biomarkers were analyzed and statistical...

10.1158/1055-9965.epi-24-0523 article EN Cancer Epidemiology Biomarkers & Prevention 2025-02-14
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