Prediction of tumor volumes using an exponential model

Artit C. Jirapatnakul, Anthony P. Reeves, Tatiyana V. Apanasovich, Matthew D. Cham, David F. Yankelevitz, Claudia I. Henschke

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Measurement of pulmonary nodule growth rate is important for the evaluation of lung cancer treatment. The change in nodule growth rate can be used as an indicator of the efficacy of a prescribed treatment. However, a change in growth rate may be due to actual physiological change, or it may be simply due to measurement error. To address this issue, we propose the use of an exponential model to predict the volume of a tumor based on two earlier scans. We examined 11 lung cancers presenting as solid pulmonary nodules that were not treated. Using 5 of these with optimal scan parameters, thin-slice (1.0mm or 1.25mm) with same axial resolution, we found an error ranging from 1.7% to 27.7%, with an average error of 14.9%). This indicates that we can estimate the growth of a lung cancer, as measured by CT, which includes the actual growth as well as the error due to the technique, by the amount indicated above. Using scans with non-optimal parameters, either thick-slice or different resolution thin-slice scans, resulted in errors ranging from 30% to 600%, suggesting that same resolution thin-slice CT scans are necessary for accurate measurement of nodule growth.

Original languageEnglish
Title of host publicationMedical Imaging 2007
Subtitle of host publicationComputer-Aided Diagnosis
EditionPART 2
StatePublished - 2007
Externally publishedYes
EventMedical Imaging 2007: Computer-Aided Diagnosis - San Diego, CA, United States
Duration: 20 Feb 200722 Feb 2007

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
NumberPART 2
ISSN (Print)1605-7422


ConferenceMedical Imaging 2007: Computer-Aided Diagnosis
Country/TerritoryUnited States
CitySan Diego, CA


  • CT
  • Computer-assisted diagnosis
  • Exponential growth model
  • Growth rate
  • Measurement accuracy
  • Pulmonary nodule


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