CXR Record List

CXR Record List

In order to access this table, you must sign the data use agreement for MIMIC-CXR and request access to MIMIC-CXR data on BigQuery via the MIMIC-CXR PhysioNet project page.

This table lists all records in the MIMIC-CXR database. Each DICOM file, corresponding to a single chest x-ray, is assigned a unique dicom_id. This table links those IDs to a study_id for the radiology report and a subject_id for the patient.

Table source: Hospital database.

Table purpose: Provides a link between subject_id, study_id, and dicom_id.

Number of rows:

Links to:

  • CORE.PATIENTS on subject_id

Important considerations

Chest x-rays are available for all patients who presented to the emergency department. The logic was:

  • extract patient identifiers for all patients admitted to the emergency department between 2011 - 2016
  • use these patient identifiers to extract all chest x-rays performed during 2011-2016

As such, if a patient was admitted to the ED between 2011 - 2016, then x-rays will be available for the ED admission, and any subsequent stays in the hospital (e.g. if they were admitted to the intensive care unit, their chest x-rays in the ICU will be available).

Table columns

Name Postgres data type
subject_id INTEGER NOT NULL
study_id INTEGER NOT NULL
dicom_id TEXT NOT NULL

subject_id

subject_id is a unique identifier which specifies an individual patient. Any rows associated with a single subject_id pertain to the same individual.

study_id

A unique identifier for the radiology report written for the given chest x-ray.

dicom_id

A unique identifier for the chest x-ray.


Last modified August 14, 2020: tidy up content (f6a3635)