Literature DB >> 11856695

Prediction of postoperative lung function in patients with lung cancer: comparison of quantitative CT with perfusion scintigraphy.

Ming-Ting Wu1, Huay-Ben Pan, Ambrose A Chiang, Hon-Ki Hsu, Huang-Chou Chang, Nan-Jing Peng, Ping-Hong Lai, Huei-Lung Liang, Chien-Fang Yang.   

Abstract

OBJECTIVE: Prediction of postoperative lung function is important in preoperative evaluation of patients with lung cancer. Perfusion scintigraphy is the current method to assess the fractional contribution of lung function of the remaining lung. We developed a quantitative CT method and compared it with perfusion scintigraphy for predictions of postoperative forced expiratory volume in 1 sec (FEV1) in patients with lung cancer. SUBJECTS AND METHODS: Forty-four patients with lung cancer undergoing lung resection with preoperative CT and perfusion scintigraphy were enrolled. Quantitative CT used a dual threshold (-500 and -910 H) on standard preoperative CT to semiautomatically extract lung volume without emphysema or tumor and atelectasis, which we defined as "functional lung volume." Prediction was calculated from preoperative FEV1 multiplied by the fractional contribution of functional lung volume of the remaining lung by quantitative CT. Perfusion scintigraphy was the standard method. Predictions were correlated with postoperatively measured FEV1.
RESULTS: Both quantitative CT and perfusion scintigraphy predicted postoperative FEV1 well in patients who underwent pneumonectomy (n = 28, r = 0.88 vs r = 0.86) and in lobectomy (n = 16, r = 0.90 vs r = 0.80) (both, p < 0.001). There was good agreement between the two methods by the Bland-Altman method. In the four patients with low measured postoperative FEV1 (<40% predicted normal), quantitative CT had true-positive prediction in four and perfusion scintigraphy, in only two.
CONCLUSION: Given its simplicity, we proposed that quantitative CT be widely used in predicting postoperative FEV1.

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Year:  2002        PMID: 11856695     DOI: 10.2214/ajr.178.3.1780667

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  19 in total

1.  Perfusion scintigraphy and patient selection for lung volume reduction surgery.

Authors:  Divay Chandra; David A Lipson; Eric A Hoffman; John Hansen-Flaschen; Frank C Sciurba; Malcolm M Decamp; John J Reilly; George R Washko
Journal:  Am J Respir Crit Care Med       Date:  2010-06-10       Impact factor: 21.405

2.  Accuracy and precision of perfusion lung scintigraphy versus 133Xe-radiospirometry for preoperative pulmonary functional assessment of patients with lung cancer.

Authors:  Denis Mariano-Goulart; Eric Barbotte; Célia Basurko; F Comte; Michel Rossi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-04-26       Impact factor: 9.236

3.  Quantative computerized tomography assessment of lung density as a predictor of postoperative pulmonary morbidity in patients with lung cancer.

Authors:  Tevfik Kaplan; Gokce Kaan Atac; Nesimi Gunal; Bulent Kocer; Aslıhan Alhan; Sezai Cubuk; Orhan Yucel; Ebru Ozan Sanhal; Koray Dural; Serdar Han
Journal:  J Thorac Dis       Date:  2015-08       Impact factor: 2.895

4.  Density-based MDCT quantification of lobar lung volumes: a study of inter- and intraobserver reproducibility.

Authors:  F Molinari; M Amato; M Stefanetti; G Parapatt; A Macagnino; G Serricchio; T Pirronti; L Bonomo
Journal:  Radiol Med       Date:  2010-02-22       Impact factor: 3.469

5.  Predicting postoperative exercise capacity after major lung resection.

Authors:  Yoshinori Nagamatsu; Susumu Sueyoshi; Tatsuji Tsubuku; Masayuki Kawasaki; Yoshito Akagi
Journal:  Surg Today       Date:  2015-02-07       Impact factor: 2.549

6.  Prediction of postoperative pulmonary function: preliminary comparison of single-breath dual-energy xenon CT with three conventional methods.

Authors:  Hisami Yanagita; Norinari Honda; Mitsuo Nakayama; Wataru Watanabe; Yuji Shimizu; Hisato Osada; Kei Nakada; Takemichi Okada; Hitoshi Ohno; Takeo Takahashi; Katharina Otani
Journal:  Jpn J Radiol       Date:  2013-04-02       Impact factor: 2.374

Review 7.  CT Radiomics in Thoracic Oncology: Technique and Clinical Applications.

Authors:  Geewon Lee; So Hyeon Bak; Ho Yun Lee
Journal:  Nucl Med Mol Imaging       Date:  2017-12-18

8.  Quantitative computed tomography to predict postoperative FEV1 after lung cancer surgery.

Authors:  Alex Fourdrain; Florence De Dominicis; Sophie Lafitte; Jules Iquille; Flavien Prevot; Emmanuel Lorne; Julien Monconduit; Patrick Bagan; Pascal Berna
Journal:  J Thorac Dis       Date:  2017-08       Impact factor: 2.895

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

Authors:  Keisuke Kobayashi; Yusuke Saeki; Shinsuke Kitazawa; Naohiro Kobayashi; Shinji Kikuchi; Yukinobu Goto; Mitsuaki Sakai; Yukio Sato
Journal:  Surg Today       Date:  2017-04-04       Impact factor: 2.549

10.  Visual score and quantitative CT indices in pulmonary fibrosis: Relationship with physiologic impairment.

Authors:  N Sverzellati; E Calabrò; A Chetta; G Concari; A R Larici; M Mereu; R Cobelli; M De Filippo; M Zompatori
Journal:  Radiol Med       Date:  2007-12-13       Impact factor: 3.469

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