Share Email Print
cover

Proceedings Paper

Clinical value of CT-based preoperative software assisted lung lobe volumetry for predicting postoperative pulmonary function after lung surgery
Author(s): Dag Wormanns; Florian Beyer; Petra Hoffknecht; Volker Dicken; Jan-Martin Kuhnigk; Tobias Lange; Michael Thomas; Walter Heindel
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This study was aimed to evaluate a morphology-based approach for prediction of postoperative forced expiratory volume in one second (FEV1) after lung resection from preoperative CT scans. Fifteen Patients with surgically treated (lobectomy or pneumonectomy) bronchogenic carcinoma were enrolled in the study. A preoperative chest CT and pulmonary function tests before and after surgery were performed. CT scans were analyzed by prototype software: automated segmentation and volumetry of lung lobes was performed with minimal user interaction. Determined volumes of different lung lobes were used to predict postoperative FEV1 as percentage of the preoperative values. Predicted FEV1 values were compared to the observed postoperative values as standard of reference. Patients underwent lobectomy in twelve cases (6 upper lobes; 1 middle lobe; 5 lower lobes; 6 right side; 6 left side) and pneumonectomy in three cases. Automated calculation of predicted postoperative lung function was successful in all cases. Predicted FEV1 ranged from 54% to 95% (mean 75% ± 11%) of the preoperative values. Two cases with obviously erroneous LFT were excluded from analysis. Mean error of predicted FEV1 was 20 ± 160 ml, indicating absence of systematic error; mean absolute error was 7.4 ± 3.3% respective 137 ± 77 ml/s. The 200 ml reproducibility criterion for FEV1 was met in 11 of 13 cases (85%). In conclusion, software-assisted prediction of postoperative lung function yielded a clinically acceptable agreement with the observed postoperative values. This method might add useful information for evaluation of functional operability of patients with lung cancer.

Paper Details

Date Published: 14 April 2005
PDF: 6 pages
Proc. SPIE 5746, Medical Imaging 2005: Physiology, Function, and Structure from Medical Images, (14 April 2005); doi: 10.1117/12.592905
Show Author Affiliations
Dag Wormanns, Univ. Hospital Munster (Germany)
Florian Beyer, Univ. Hospital Munster (Germany)
Petra Hoffknecht, Univ. Hospital Munster (Germany)
Volker Dicken, MeVis--Ctr. for Medical Diagnostic Systems and Visualization (Germany)
Jan-Martin Kuhnigk, MeVis--Ctr. for Medical Diagnostic Systems and Visualization (Germany)
Tobias Lange, MeVis--Ctr. for Medical Diagnostic Systems and Visualization (Germany)
Michael Thomas, Univ. Hospital Munster (Germany)
Walter Heindel, Univ. Hospital Munster (Germany)


Published in SPIE Proceedings Vol. 5746:
Medical Imaging 2005: Physiology, Function, and Structure from Medical Images
Amir A. Amini; Armando Manduca, Editor(s)

© SPIE. Terms of Use
Back to Top