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Related Experiment Videos

Three-dimensional computed tomographic volumetry precisely predicts the postoperative pulmonary function.

Keisuke Kobayashi1, Yusuke Saeki1, Shinsuke Kitazawa1

  • 1Department of Thoracic Surgery, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.

Surgery Today
|April 6, 2017
PubMed
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Three-dimensional computed tomographic (3D-CT) volumetry more accurately predicts postoperative pulmonary function than segment-counting, especially for COPD patients. This aids surgical candidate selection for lung cancer resection.

Area of Science:

  • Pulmonary Medicine
  • Radiology
  • Thoracic Surgery

Background:

  • Accurate prediction of postoperative pulmonary function is crucial for patient management.
  • Lung cancer resection necessitates careful evaluation of residual pulmonary function.

Purpose of the Study:

  • To compare the predictive accuracy of three-dimensional computed tomographic (3D-CT) volumetry against the conventional segment-counting method for postoperative pulmonary function.
  • To assess the utility of 3D-CT volumetry in identifying suitable surgical candidates, particularly those with marginal pulmonary function.

Main Methods:

  • Fifty-three patients undergoing lung cancer resection were enrolled.
  • Postoperative residual pulmonary function was predicted using both 3D-CT volumetry and segment-counting.
Keywords:
Chronic obstructive pulmonary diseaseResidual pulmonary functionSegment-counting methodThree-dimensional computed tomographic volumetry

Related Experiment Videos

  • Predicted values were compared with actual postoperative pulmonary function test results.
  • Main Results:

    • 3D-CT volumetry demonstrated higher linear correlation coefficients between predicted and measured postoperative pulmonary function compared to segment-counting.
    • The variation between predicted and measured values was smaller with 3D-CT volumetry.
    • These improvements were more pronounced in patients with chronic obstructive pulmonary disease (COPD).

    Conclusions:

    • 3D-CT volumetry offers superior accuracy in predicting residual pulmonary function post-surgery, outperforming the segment-counting method.
    • The enhanced accuracy of 3D-CT volumetry is particularly beneficial for patients with COPD.
    • This technique can improve the selection of surgical candidates with compromised pulmonary function.