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  • Stricter Lung-RADS may...

Stricter Lung-RADS may help detect cancer risk in nodules on follow-up CT: Study

Medha BaranwalWritten by Medha Baranwal Published On 2021-11-17T09:00:35+05:30  |  Updated On 17 Nov 2021 3:30 AM GMT
Stricter Lung-RADS may help detect cancer risk in nodules on follow-up CT: Study
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USA: Researchers from Harvard University showed in a recent study that stricter Lung-RADS categories in terms of nodule size may help clinicians to categorize those found on follow-up lung cancer screening CT exams. The findings, published in the American Journal of Roentgenology, provide insight into radiologists' management of nodules detected on follow-up screening...

USA: Researchers from Harvard University showed in a recent study that stricter Lung-RADS categories in terms of nodule size may help clinicians to categorize those found on follow-up lung cancer screening CT exams. The findings, published in the American Journal of Roentgenology, provide insight into radiologists' management of nodules detected on follow-up screening examinations.

Nodules may have different risks of lung cancer when new on follow-up CT versus when present on an earlier CT ("existing" nodules). Lung-RADS and volume-based NELSON categories have demonstrated variable performance in nodule risk assessment. Mark M. Hammer, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, and colleagues, therefore, aimed to assess Lung-RADS and NELSON classifications for nodules detected on follow-up lung cancer screening CT examinations in a retrospective study.

The study included 185 patients (100 women, 85 men; median age, 66 years) who underwent lung cancer screening CT examinations for which a prior CT was available. The researchers performed stratified random sampling to enrich the sample with suspicious nodules, yielding 50, 45, 47, 30, and 13 nodules with Lung-RADS categories 2, 3, 4A, 4B, and 4X, respectively. 

Using clinical reports, Lung-RADS categories were recorded. Nodules' linear measurements were extracted from clinical reports to generate Lung-RADS categories using strict criteria. NELSON categories were generated using a semiautomated tool to obtain nodule volumes. Lung cancer risk was assessed. ROC analysis was performed. Twenty-nine cancers were diagnosed. 

The study revealed the following findings:

  • Weighted cancer risk was 5% for new nodules, 1% for stable existing nodules, and 44% for growing existing nodules.
  • No clinical category 2 nodule was cancer.
  • Using strict Lung-RADS, 34 nodules, including 7 cancers, were downgraded to category 2. AUC for cancer was 0.96 for clinical Lung-RADS, 0.81 for strict Lung-RADS, 0.71-0.84 for NELSON (two readers), and 0.89 for nodule diameter.
  • Clinical Lung-RADS achieved weighted sensitivity and specificity of 100% and 85% in the entire sample, 100% and 41% in new nodules, and 100% and 94% in existing nodules.
  • Optimal diameter threshold was 8 mm for existing nodules, versus 6 mm for new nodules.

"Lung-RADS, as applied by radiologists in clinical practice, achieved excellent performance on follow-up screening examinations. Strict Lung-RADS downgraded some cancers to category 2," the researchers wrote. "Volumetric assessments had weaker performance than clinical Lung-RADS. New nodules warrant smaller size thresholds than existing nodules."

Reference:

The study titled, "Cancer Risk in Nodules Detected at Follow-up Lung Cancer Screening CT," is published in the American Journal of Roentgenology. 

DOI: https://www.ajronline.org/doi/10.2214/AJR.21.26927



lung cancer screeningAmerican Journal of Roentgenology
Source : American Journal of Roentgenology
Medha Baranwal
Medha Baranwal

    MSc. Biotechnology

    Medha Baranwal joined Medical Dialogues as an Editor in 2018 for Speciality Medical Dialogues. She covers several medical specialties including Cardiac Sciences, Dentistry, Diabetes and Endo, Diagnostics, ENT, Gastroenterology, Neurosciences, and Radiology. She has completed her Bachelors in Biomedical Sciences from DU and then pursued Masters in Biotechnology from Amity University. She has a working experience of 5 years in the field of medical research writing, scientific writing, content writing, and content management. She can be contacted at  editorial@medicaldialogues.in. Contact no. 011-43720751

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