What is a T2 category nodule in the Lung-RADS (Lung Computed Tomography Screening Reporting and Data System) classification?

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Last updated: November 13, 2025View editorial policy

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Lung-RADS Category 2 Nodule

A Lung-RADS Category 2 nodule is classified as benign, with less than 1% probability of malignancy, and requires no additional follow-up beyond routine annual screening. 1

Definition and Characteristics

Lung-RADS Category 2 encompasses several specific nodule types that are considered benign:

  • Solid nodules less than 6 mm in diameter are automatically classified as Category 2, reflecting their extremely low malignancy risk 2
  • Perifissural nodules (intrapulmonary lymph nodes) measuring 6 to <10 mm with triangular, polygonal, or ovoid shapes are classified as Category 2 3
  • Pure ground-glass nodules ≤30 mm that remain unchanged are classified as Category 2 1
  • Calcified nodules demonstrating benign patterns of calcification are Category 2 2

Clinical Significance

The malignancy probability for Category 2 nodules is established at less than 1%, though some data suggest the actual rate may be slightly higher at approximately 2.5% for certain subsolid nodules 4. This extremely low risk justifies the conservative management approach.

Management Recommendations

The American College of Radiology recommends return to annual screening (RTAS) for all Category 2 nodules, with no short-term follow-up imaging required. 2, 1

Key management points include:

  • No additional CT scans are needed beyond the routine annual screening interval 1
  • No biopsy or PET/CT is indicated for Category 2 findings 2
  • Patients should be reassured that these findings are benign and do not require additional workup 1

Recent Updates to Classification

The 2022 Lung-RADS update expanded Category 2 criteria significantly:

  • Pleural-attached nodules less than 10 mm with smooth margins and specific shapes (triangular, lentiform, oval, or semicircular) were downgraded from Category 3 or 4 to Category 2, eliminating unnecessary short-term follow-up 5
  • This change recognizes that these morphologically benign-appearing pleural-attached nodules have high likelihood of benignity and do not warrant 3-6 month surveillance 5

Important Caveats

Transient nodules: Approximately one-third of benign nodules may be transient (resolve spontaneously), which supports the conservative approach to Category 2 management 4, 6

Size thresholds matter: The cutoff was increased from 4 mm (used in the original NLST trial) to 6 mm specifically to reduce false-positive results while maintaining sensitivity for clinically significant cancers 2

Subpleural location expansion: Evidence suggests that nodules with benign morphology (triangular, polygonal, or ovoid) in any subpleural location (not just perifissural) can be safely classified as Category 2, further reducing false-positives without compromising cancer detection 3

Common Pitfalls to Avoid

  • Over-imaging benign findings: Resist the temptation to order short-term follow-up CT for Category 2 nodules, as this increases radiation exposure and healthcare costs without improving outcomes 1, 3
  • Causing unnecessary patient anxiety: Use clear, reassuring language when communicating Category 2 findings, emphasizing their benign nature while still recommending continued annual screening 1
  • Misclassifying nodules: Ensure accurate measurement technique using thin-slice CT (≤2.5 mm, preferably ≤1 mm) and appropriate window settings (lung windows for solid components) to avoid misclassification 2

Professional Medical Disclaimer

This information is intended for healthcare professionals. Any medical decision-making should rely on clinical judgment and independently verified information. The content provided herein does not replace professional discretion and should be considered supplementary to established clinical guidelines. Healthcare providers should verify all information against primary literature and current practice standards before application in patient care. Dr.Oracle assumes no liability for clinical decisions based on this content.

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