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Detection and quantification of the solid component in pulmonary subsolid nodules by semiautomatic segmentation.

Ernst Th Scholten1, Colin Jacobs, Bram van Ginneken

  • 1Department of Radiology, University Medical Center, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.

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|October 8, 2014
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Summary

Semiautomatic software can differentiate and quantify solid components in pulmonary nodules, similar to radiologists. Its effectiveness in managing subsolid nodules depends on chosen attenuation thresholds.

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Area of Science:

  • Pulmonary imaging
  • Radiology
  • Medical software development

Background:

  • Differentiating part-solid from nonsolid pulmonary nodules is crucial for patient management.
  • Accurate quantification of the solid component is essential for nodule characterization.

Purpose of the Study:

  • To evaluate semiautomatic volumetric software for differentiating part-solid from nonsolid pulmonary nodules.
  • To assess the software's ability to quantify the solid component of pulmonary nodules.

Main Methods:

  • 115 pulmonary nodules were classified as nonsolid or part-solid by radiologists.
  • Semiautomatic software used Hounsfield unit (HU) thresholds to identify and quantify solid components.
  • Software measurements were compared against radiologist classifications and manual measurements.

Main Results:

  • Semiautomatic software detected a solid component in 75 of 86 nodules at a -300 HU threshold, with 90% sensitivity and 88% specificity.
  • At a -130 HU threshold, semiautomatic diameter measurements closely matched manual measurements (p=0.63).

Conclusions:

  • Semiautomatic segmentation accurately differentiates and quantifies solid components in subsolid pulmonary nodules.
  • Software performance is dependent on the selected attenuation thresholds.
  • This technology shows promise for aiding in the management of subsolid pulmonary nodules.