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Volume doubling time under 200 days marks all malignant nodules in 27 studies of lung cancer screening programsNodule growth speed helps assess lung cancer risk in screening programs

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Key Takeaway
Note that volume doubling time under 200 days indicates malignancy risk in lung nodules.

This narrative review examines nodule features such as volume doubling time, size, and attenuation within the context of lung cancer screening programs. The analysis draws on 27 studies, comprising 23 original investigations and 4 reviews, to assess nodule malignancy risk. The authors report that all malignant nodules had a volume doubling time under 200 days. Shortest volume doubling times were observed in aggressive histological subtypes and advanced disease stages. Additionally, PET-CT positivity correlated with shorter volume doubling times, and never-smokers exhibited faster nodule growth than ever-smokers. A trend of decreasing volume doubling time with disease progression was also noted. The review identifies variability in study designs and classification criteria as significant limitations. Standardizing volume doubling time reporting and incorporating it into personalized lung cancer screening algorithms could enhance early detection and reduce overtreatment. Digital tools can support this integration by enabling accurate, automated volume doubling time calculations, improving measurement consistency, and facilitating the incorporation of volumetric and attenuation data into advanced risk prediction models, provided that healthcare professionals receive proper training to use these tools effectively.

A narrative review examined 27 studies involving lung cancer screening programs to understand how nodule features predict malignancy. The analysis looked at volume doubling time, size, and other characteristics to assess cancer risk. The review found that all malignant nodules had a volume doubling time under 200 days. Aggressive cancer types and advanced disease stages showed the shortest growth times. Never-smokers also exhibited faster nodule growth compared to ever-smokers. PET-CT positivity correlated with these shorter growth times.

The review noted that volume doubling time is a valuable indicator for assessing nodule malignancy risk. However, it should be integrated into multifactorial risk models rather than used alone. Standardizing how this measurement is reported could enhance early detection and reduce overtreatment. Digital tools can support this integration by enabling accurate, automated calculations. These tools improve measurement consistency and help incorporate volumetric data into advanced risk prediction models.

Healthcare professionals must receive proper training to use these tools effectively. The study design varied across the included research, and classification criteria were not uniform. Because of this variability, the findings should be viewed as supportive rather than definitive proof. This review does not establish cause and effect but highlights patterns observed in existing data.

What this means for you:
Volume doubling time under 200 days signals higher lung cancer risk but must fit into broader risk models.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedJun 2026
View Original Abstract ↓
Background/objectivesLow-dose computed tomography screening plays a pivotal role in early lung cancer detection. This narrative review aims to evaluate nodule characteristics, especially volume doubling time (VDT), and their relevance to lung cancer suspicion, staging, and clinical outcomes, to support more accurate risk stratification in screening programs for lung cancer.Materials and methodsA literature search was conducted in PubMed, Scopus, and Web of Science, covering studies published from January 2012 to August 2024. A total of 27 studies (23 original and 4 reviews) were included. Key nodule features (VDT, size, attenuation, margins, histology, and stage) were extracted, reclassified, and analyzed to ensure standardized graphical comparison. Diagnostic performance metrics such as sensitivity, specificity, and predictive values of VDT were also assessed.ResultsFindings revealed that all malignant nodules had a VDT under 200 days, with the shortest VDTs observed in aggressive histological subtypes and advanced disease stages. PET-CT positivity correlated with shorter VDTs, and never-smokers exhibited faster nodule growth than ever-smokers. Stage-specific growth patterns showed a trend of decreasing VDT with disease progression. However, variability in study designs and classification criteria made it necessary to implement standardization. Digital tools in the field of lung imaging may be valuable assets in early detection and risk prediction and could minimize inter-reader variability and thus overdiagnosis.ConclusionsVDT is a valuable indicator for assessing nodule malignancy risk but should be integrated into multifactorial risk models. Standardizing VDT reporting and incorporating it into personalized lung cancer screening algorithms could enhance early detection and reduce overtreatment. Digital tools can support this integration by enabling accurate, automated VDT calculations, improving measurement consistency, and facilitating the incorporation of volumetric and attenuation data into advanced risk prediction models, provided that healthcare professionals receive proper training to use these tools effectively.
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