Literature DB >> 28932546

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

Alex Fourdrain1, Florence De Dominicis1, Sophie Lafitte1, Jules Iquille1, Flavien Prevot2, Emmanuel Lorne3, Julien Monconduit1, Patrick Bagan1, Pascal Berna1.   

Abstract

BACKGROUND: Predicted postoperative FEV1 (ppoFEV1) must be estimated preoperatively prior to surgery for non-small cell lung cancer (NSCLC). We evaluated a lung volumetry approach based on chest computed tomography (CT).
METHODS: A prospective study was conducted over a period of one year in eligible lung cancer patients to evaluate the difference between ppoFEV1 and the 3-month postoperative FEV1 (poFEV1). Patients in whom CT was performed in another hospital and those with factors influencing poFEV1, such as atelectasis, pleural effusion, pneumothorax, or pneumonia, were excluded. A total of 23 patients were included and ppoFEV1 was calculated according to 4 usual
Methods: Nakahara formula, Juhl and Frost formula, ventilation scintigraphy, perfusion scintigraphy, and a fifth method based on quantitative CT. Lung volume was calculated twice and separately by 2 radiologists. Tumor volume, and emphysema defined by a -950 HU limit were subtracted from the total lung volume in order to estimate ppoFEV1.
RESULTS: We compared 5 methods of ppoFEV1 estimation and calculated the mean volume difference between ppoFEV1 and poFEV1. A better correlation was observed for quantitative CT than for Nakahara formula, Juhl and Frost formula, perfusion scintigraphy and ventilation scintigraphy with respectively: R2=0.79 vs. 0.75, 0.75, 0.67 and 0.64 with a mean volume difference of 266±229 mL (P<0.01) vs. 320±262 mL (P<0.01), 332±251 mL (P<0.01), 304±295 mL (P<0.01) and 312±303 mL (P<0.01).
CONCLUSIONS: Quantitative CT appears to be a satisfactory method to evaluate ppoFEV1 evaluation method, and appears to be more reliable than other approaches. Estimation of ppoFEV1, as part of the preoperative assessment, does not involve additional morphologic examinations, particularly scintigraphy. This method may become the reference method for ppoFEV1 evaluation.

Entities:  

Keywords:  Computed tomography (CT); lobectomy; lung cancer staging; lung cancer surgery; pulmonary function

Year:  2017        PMID: 28932546      PMCID: PMC5594129          DOI: 10.21037/jtd.2017.06.118

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


  13 in total

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

Authors:  Ming-Ting Wu; Huay-Ben Pan; Ambrose A Chiang; Hon-Ki Hsu; Huang-Chou Chang; Nan-Jing Peng; Ping-Hong Lai; Huei-Lung Liang; Chien-Fang Yang
Journal:  AJR Am J Roentgenol       Date:  2002-03       Impact factor: 3.959

2.  Prospective evaluation of an algorithm for the functional assessment of lung resection candidates.

Authors:  C Wyser; P Stulz; M Solèr; M Tamm; J Müller-Brand; J Habicht; A P Perruchoud; C T Bolliger
Journal:  Am J Respir Crit Care Med       Date:  1999-05       Impact factor: 21.405

3.  Prediction of postoperative pulmonary function using perfusion magnetic resonance imaging of the lung.

Authors:  Tae Iwasawa; Kimihiko Saito; Nobuo Ogawa; Naoki Ishiwa; Hiroaki Kurihara
Journal:  J Magn Reson Imaging       Date:  2002-06       Impact factor: 4.813

4.  A comparison between measured and calculated changes in the lung function after operation for pulmonary cancer.

Authors:  B Juhl; N Frost
Journal:  Acta Anaesthesiol Scand Suppl       Date:  1975

5.  Using quantitative CT to predict postoperative pulmonary function in patients with lung cancer.

Authors:  Fang Liu; Ping Han; Gan-sheng Feng; Bo Liang; Jie Xiao; Zhi-liang Tian; Zi-qiao Lei
Journal:  Chin Med J (Engl)       Date:  2005-05-05       Impact factor: 2.628

6.  Dynamic perfusion MRI versus perfusion scintigraphy: prediction of postoperative lung function in patients with lung cancer.

Authors:  Yoshiharu Ohno; Hiroto Hatabu; Takanori Higashino; Daisuke Takenaka; Hirokazu Watanabe; Yoshihiro Nishimura; Masahiro Yoshimura; Kazuro Sugimura
Journal:  AJR Am J Roentgenol       Date:  2004-01       Impact factor: 3.959

7.  Physiologic evaluation of the patient with lung cancer being considered for resectional surgery: ACCP evidenced-based clinical practice guidelines (2nd edition).

Authors:  Gene L Colice; Shirin Shafazand; John P Griffin; Robert Keenan; Chris T Bolliger
Journal:  Chest       Date:  2007-09       Impact factor: 9.410

8.  A method for predicting postoperative lung function and its relation to postoperative complications in patients with lung cancer.

Authors:  K Nakahara; Y Monden; K Ohno; S Miyoshi; H Maeda; Y Kawashima
Journal:  Ann Thorac Surg       Date:  1985-03       Impact factor: 4.330

9.  State-of-the-art radiological techniques improve the assessment of postoperative lung function in patients with non-small cell lung cancer.

Authors:  Yoshiharu Ohno; Hisanobu Koyama; Munenobu Nogami; Daisuke Takenaka; Yumiko Onishi; Keiko Matsumoto; Sumiaki Matsumoto; Yoshimasa Maniwa; Masahiro Yoshimura; Yoshihiro Nishimura; Kazuro Sugimura
Journal:  Eur J Radiol       Date:  2009-08-19       Impact factor: 3.528

10.  Postoperative lung function in lung cancer patients: comparative analysis of predictive capability of MRI, CT, and SPECT.

Authors:  Yoshiharu Ohno; Hisanobu Koyama; Munenobu Nogami; Daisuke Takenaka; Sumiaki Matsumoto; Masahiro Yoshimura; Yoshikazu Kotani; Kazuro Sugimura
Journal:  AJR Am J Roentgenol       Date:  2007-08       Impact factor: 3.959

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  4 in total

1.  Predicting Postoperative Lung Function Following Lung Cancer Resection: A Systematic Review and Meta-analysis.

Authors:  Nicola K Oswald; James Halle-Smith; Rana Mehdi; Peter Nightingale; Babu Naidu; Alice M Turner
Journal:  EClinicalMedicine       Date:  2019-09-10

2.  Comparison between quantitative computed tomography, scintigraphy, and anatomical methods for prediction of postoperative FEV1 and DLCO: effects of chronic obstructive pulmonary disease status and resected lobes.

Authors:  Masanori Yokoba; Tsuyoshi Ichikawa; Shinya Harada; Kazu Shiomi; Masashi Mikubo; Mototsugu Ono; Dai Sonoda; Yukitoshi Satoh; Hironori Hanawa; Katsuhiko Naoki; Masato Katagiri
Journal:  J Thorac Dis       Date:  2020-10       Impact factor: 3.005

3.  A preliminary study identifies early postoperative lung volume changes in patients with non-small cell lung cancer following video-assisted thoracic surgery using CT volumetry.

Authors:  Xiaojun Du; Haojun Li; Langbo Liu; Min Zhang; Zhongben Tang; Jian Zhang; Peng Lin; Hong Xie; Cheng Chen
Journal:  Mol Clin Oncol       Date:  2021-04-22

4.  A Modified Calculation Improves the Accuracy of Predicted Postoperative Lung Function Values in Lung Cancer Patients.

Authors:  G Schlachtenberger; F Doerr; H Menghesha; L Hagmeyer; T Leschczyk; C Gaisendrees; M Michel; T Wahlers; K Hekmat; M B Heldwein
Journal:  Lung       Date:  2021-08-13       Impact factor: 2.584

  4 in total

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