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X-ray (computed radiography) CT X-ray ChestLung

LIDC-IDRI

Lung Image Database Consortium and Image Database Resource Initiative

Chest CT with lung nodules marked, outlined and rated by four radiologists each, a standard benchmark for nodule detection, segmentation and malignancy rating. 1,018 scans of 1,010 patients from seven US centres, plus some chest radiographs.

Overview

LIDC-IDRI is a reference collection of thoracic CT scans with lung nodule annotations by several radiologists. It was assembled by the Lung Image Database Consortium, started by the US National Cancer Institute, and expanded through the Image Database Resource Initiative of the Foundation for the NIH with industry partners. It is hosted by The Cancer Imaging Archive and remains a standard benchmark for nodule detection, segmentation and malignancy rating.

Composition

The database holds 1,018 CT scans from 1,010 patients: eight patients were included twice by mistake, with scans from two time points. Both diagnostic and low-dose screening scans were accepted, with at most 3 mm collimation and reconstruction interval. Cases were chosen to contain roughly up to six nodules between 3 and 30 mm. TCIA also distributes chest radiographs for a subset of patients (1,308 studies in total) as well as patient- and nodule-level diagnosis data for a limited number of cases.

Acquisition

Seven US academic centers contributed scans from routine clinical care, so scanner models and parameters vary:

Vendor CT scans
GE (LightSpeed) 670
Siemens 205
Philips (Brilliance) 74
Toshiba (Aquilion) 69

Slice thickness ranges from 0.6 to 5 mm, most often 1.25 or 2.5 mm.

Annotations

Four radiologists from different institutions read each scan in two phases. First they marked lesions independently as nodule of at least 3 mm, nodule under 3 mm, or non-nodule of at least 3 mm. Then each reviewed the anonymised marks of the others and gave a final opinion, without forced consensus. Nodules of 3 mm or more were outlined slice by slice and rated for features such as subtlety, spiculation and likelihood of malignancy. In total, 7,371 lesions were marked as a nodule by at least one reader, and 2,669 as a nodule of at least 3 mm.

Known limitations

  • No consensus ground truth: readers often disagree, and users must choose how to combine the four reads.
  • Reader order in the XML files is not consistent across scans.
  • Spiculation and lobulation ratings are inconsistent for about 100 early cases, and a few XML files have known errors listed on the TCIA page.
  • Diagnosis data exist only for a small subset.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 1,010 subjects.

Modality

Scans
  • CT 1,018

Section Materials and Methods, Patient image data in Armato et al. 2011, Medical Physics

Scanner vendor by modality

Scans

Reported cross table. A dot marks a cell the source does not give.

CT
GE HealthCare670
Siemens Healthineers205
Philips74
Canon Medical69

Section Materials and Methods, Patient image data in Armato et al. 2011, Medical Physics

License and access

Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer

Access
Open download

Download without an account

Download with the TCIA Data Retriever; annotations are XML files.

Access page

Creative Commons Attribution 3.0 Unported

Older version of CC BY. Use, share and adapt the data for any purpose, including commercial use, as long as you credit the creators.

Original license text Version read: 3.0 Checked 2026-10-07

What you can do

  • Yes
  • Yes
  • Yes
  • Yes
  • Yes

What you can share

  • Yes
  • Yes
  • Yes

What you must do

  • Yes
  • Share alike No
  • No
  • No
  • Manuscript review No
  • Release code No
  • Return results No
  • Delete after use No

Limits

  • No
  • Location limits No

Citation

Armato SG 3rd, McLennan G, Bidaut L, et al. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans. Medical Physics 38, 915-931 (2011). https://doi.org/10.1118/1.3528204. Data: Armato SG III, et al. (2015). Data From LIDC-IDRI [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.LO9QL9SX

Sources

Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.