# Pulmonary Diseases in WTC Workers: Symptoms, Function, and Chest CT Correlates

> **NIH ALLCDC U01** · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2020 · $335,782

## Abstract

Project Summary
The overall goal of this proposal is to characterize the WTC-related lower airway disorders, to investigate
newly developed obesity-related imaging markers that may be associated with unfavorable disease expression
and functional outcomes, and assess their interaction with WTC occupational exposure level. To that end, we
will utilize the WTC Pulmonary Evaluation Unit Chest CT Imaging Archive, a large database with more than
3000 chest CT images on 1700 WTC workers that became operational in February 2016 and we established
with our previous project. On that subcohort, we have also linked extensive datasets with disease symptoms,
both pre-WTC and WTC-related occupational exposures, detailed pulmonary function and longitudinal
spirometry measurements and weight trends, visual imaging classification and grading, and quantitative
computer assisted method (QCAM) measurements of airway, and pulmonary parenchymal abnormalities. With
our proposed research project renewal, we will continue to enrich most sources of data with periodic updates,
in order to characterize the WTC-related lower airway diseases and their most important adverse prognostic
risk factors, and evaluate their longitudinal trajectories.

## Key facts

- **NIH application ID:** 9934059
- **Project number:** 5U01OH010401-08
- **Recipient organization:** ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
- **Principal Investigator:** Rafael E. de la Hoz
- **Activity code:** U01 (R01, R21, SBIR, etc.)
- **Funding institute:** ALLCDC
- **Fiscal year:** 2020
- **Award amount:** $335,782
- **Award type:** 5
- **Project period:** 2017-09-01 → 2021-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9934059

## Citation

> US National Institutes of Health, RePORTER application 9934059, Pulmonary Diseases in WTC Workers: Symptoms, Function, and Chest CT Correlates (5U01OH010401-08). Retrieved via AI Analytics 2026-05-27 from https://api.ai-analytics.org/grant/nih/9934059. Licensed CC0.

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