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Sebastian Werner1, Regina Gast1, Rainer Grimmer2

  • 1Radiology, University Hospitals Tübingen, Tübingen, Germany.

Rofo : Fortschritte Auf Dem Gebiete Der Rontgenstrahlen Und Der Nuklearmedizin
|October 21, 2021
PubMed
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This study evaluated a computer-aided volumetry (CAV) software prototype for part-solid pulmonary nodules (PSN). While visually accurate, quantitative analysis showed room for improvement in solid part segmentation and subsolid margin reproducibility.

Area of Science:

  • Pulmonary imaging
  • Oncology
  • Medical software development

Background:

  • Part-solid pulmonary nodules (PSN) require accurate volumetry for monitoring.
  • Semi-automated computer-aided volumetry (CAV) offers potential efficiency gains.
  • Assessing the accuracy and reproducibility of new CAV software is crucial.

Purpose of the Study:

  • To evaluate the accuracy and reproducibility of a novel software prototype for semi-automated CAV of PSNs.
  • To specifically assess the segmentation of the solid component within PSNs.
  • To compare CAV performance against manual volumetry (MV) and a reference standard.

Main Methods:

  • Retrospective analysis of 66 PSNs from 34 chest CT scans.
  • CAV performed by medical students; MV by radiology residents.

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  • Reference standard established by an experienced radiologist.
  • Bland-Altman analysis and intraclass correlation coefficients (ICC) used for variability assessment.

    • Main Results:

    • Subjective accuracy of CAV/MV was 77-80% for the solid part and 67-76% for the entire nodule.
    • Measurement variability for the solid part ranged from -151% to 117%.
    • Inter-rater variability for the solid part was -16% to 16% (ICC 0.998); for the entire nodule, -102% to 65% (ICC 0.880).
    • Intra-rater variability was -70% to 49% (ICC 0.992) for the solid part and -111% to 31% (ICC 0.929) for the entire nodule.
    • Intrascan variability between reconstruction kernels was -45% to 39% for the solid part and -21% to 46% for the entire nodule.

    Conclusions:

    • The CAV software prototype showed satisfactory subjective accuracy but requires quantitative improvement, particularly for solid part segmentation.
    • Reproducibility of subsolid margin measurements needs enhancement.
    • CAV demonstrated similar visual accuracy to MV, with higher accuracy for the entire nodule but better reproducibility for the solid part.