Guide / Thoracic CT

How to specify a lung-nodule CT dataset

A lung-nodule CT specification should distinguish incidental from screening populations, define nodule-size bands and control matching, establish malignant and benign ground-truth hierarchies, constrain CT acquisition, and state site, geography, annotation and acceptance requirements.

Published 30 July 2026 · Reviewed 12 August 2026 · MedCorpora
01

Population and clinical pathway

Screening cohorts and incidental-nodule cohorts differ in prevalence, patient selection, acquisition and follow-up. The request should state whether nodules arise from low-dose screening, routine chest CT, oncology imaging or another pathway and whether the intended model must generalize across them.

02

Nodule size and cohort composition

Define measurement convention and clinically relevant size categories rather than requesting small, medium and large nodules without thresholds. Controls should be size- and acquisition-aware so malignancy performance is not driven by obvious size differences.

  • Positive cases by nodule-size band and morphology
  • Benign, malignant and indeterminate categories
  • Size-matched benign and negative controls
  • Single versus multiple nodules and prior-examination rules
03

Ground-truth hierarchy

Pathology-confirmed malignancy provides strong positive evidence when available. Benign truth may use pathology or a defined period of longitudinal stability. Report text alone may support discovery or weak labels but should not silently replace the required reference standard.

04

Acquisition, diversity and annotations

Specify contrast status, dose, slice thickness, reconstruction, field of view and required prior studies. Site and geographic diversity should be expressed as measurable requirements. Annotation scope should define nodule localization, segmentation or measurements, reviewer qualifications and adjudication.

05

Acceptance criteria

A pilot should be checked against patient-level counts, size and pathology distributions, technical constraints, source-to-label traceability, privacy, exclusions and delivery format before the final cohort is approved.

06

Questions, answered directly.

Does MedCorpora claim this cohort is ready?

No. This guide explains how to specify the cohort; availability requires buyer-specific feasibility.

Can benign truth use longitudinal stability?

Yes when the required follow-up period, imaging comparability and exclusion rules are defined.

Should controls be size matched?

Often yes, when the task would otherwise learn size as a shortcut rather than malignancy-related evidence.

Institutional engagement

Define the cohort.