Pulmonary Edema Severity Grades Based on MIMIC-CXR

Clinical management decisions for patients with acutely decompensated heart
failure and many other diseases are often based on grades of pulmonary edema
severity, rather than its mere absence or presence. Chest radiographs are
commonly performed to assess pulmonary edema. The MIMIC-CXR dataset that
consists of 377,110 chest radiographs with free-text radiology reports offers
a tremendous opportunity to study this subject.

This dataset is curated based on MIMIC-CXR, containing 3 metadata files that
consist of pulmonary edema severity grades extracted from the MIMIC-CXR
dataset through different means: 1) by regular expression (regex) from
radiology reports, 2) by expert labeling from radiology reports, and 3) by
consensus labeling from chest radiographs.

This dataset aims to support the algorithmic development of pulmonary edema
assessment from chest x-ray images and benchmark its performance. The metadata
files have subject IDs, study IDs, DICOM IDs, and the numerical grades of
pulmonary edema severity. The IDs listed in this dataset have the same mapping
structure as in MIMIC-CXR.