Literature DB >> 17646467

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

Yoshiharu Ohno1, Hisanobu Koyama, Munenobu Nogami, Daisuke Takenaka, Sumiaki Matsumoto, Masahiro Yoshimura, Yoshikazu Kotani, Kazuro Sugimura.   

Abstract

OBJECTIVE: The purpose of this study was to prospectively compare the utility of dynamic contrast-enhanced perfusion MRI in the prediction of postoperative lung function in patients with lung cancer with the utility of quantitative and qualitative assessment of CT and perfusion SPECT. SUBJECTS AND METHODS: One hundred fifty lung cancer patients (87 men, 63 women) underwent dynamic perfusion MRI, MDCT, perfusion SPECT, and measurement of preoperative and postoperative forced expiratory volume in the first second of expiration (FEV1) expressed as percentage of predicted value. Postoperative FEV1 was predicted with dynamic perfusion MRI by semiquantitative assessment of the perfusion of whole lungs and resected segments of lungs, with quantitative assessment of functional lung volume on CT with commercially available software, with qualitative assessment of CT on the basis of the number of segments of total and resected lung, and with perfusion SPECT by assessment of uptake of microaggregated albumin particles in whole lungs and resected segments of lungs. Correlation and limits of agreement between actual and predicted postoperative FEV1 values were statistically evaluated.
RESULTS: Actual postoperative FEV1 had stronger correlation with postoperative FEV1 predicted from perfusion MRI (r = 0.87, p < 0.0001) and quantitative CT (r = 0.88, p < 0.0001) than with postoperative FEV1 predicted from qualitative CT (r = 0.83, p < 0.0001) and perfusion SPECT (r = 0.83, p < 0.0001). The limits of agreement between the actual postoperative FEV1 and postoperative FEV1 predicted from perfusion MRI (5.3% +/- 11.8% [mean +/- 2 SD]) were smaller than the values for postoperative FEV1 predicted from qualitative CT (6.8% +/- 14.4%) and perfusion SPECT (5.1% +/- 14.0%) and was almost equal to the value for postoperative FEV1 predicted from quantitative CT (5.0% +/- 11.6%).
CONCLUSION: Dynamic perfusion MRI is more accurate in prediction of the postoperative lung function of patients with lung cancer than are qualitative CT and perfusion SPECT and may be at least as accurate as quantitative CT.

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Year:  2007        PMID: 17646467     DOI: 10.2214/AJR.07.2084

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


  16 in total

1.  Clinical application of dual-source CT in the evaluation of patients with lung cancer: correlation with perfusion scintigraphy and pulmonary function tests.

Authors:  F Fraioli; G Serra; S Liberali; A Fiorelli; V Liparulo; F Zaccagna; G Ciccariello; C Catalano; R Passariello
Journal:  Radiol Med       Date:  2011-04-19       Impact factor: 3.469

2.  Validation of a calibration method using the cross-calibration factor and system planar sensitivity in quantitative single-photon emission computed tomography imaging.

Authors:  Norikazu Matsutomo; Saki Matsumoto; Tomoaki Yamamoto; Eisuke Sato
Journal:  Radiol Phys Technol       Date:  2017-08-18

3.  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

4.  Role of quantitative CT in predicting postoperative FEV1 and chronic dyspnea in patients undergoing lung resection.

Authors:  Chrysovalantis V Papageorgiou; Dimosthenis Antoniou; Georgios Kaltsakas; Nikolaos G Koulouris
Journal:  Multidiscip Respir Med       Date:  2010-06-30

5.  MRI of the lung (3/3)-current applications and future perspectives.

Authors:  Jürgen Biederer; S Mirsadraee; M Beer; F Molinari; C Hintze; G Bauman; M Both; E J R Van Beek; J Wild; M Puderbach
Journal:  Insights Imaging       Date:  2012-01-15

Review 6.  Pulmonary Functional Imaging: Part 1-State-of-the-Art Technical and Physiologic Underpinnings.

Authors:  Yoshiharu Ohno; Joon Beom Seo; Grace Parraga; Kyung Soo Lee; Warren B Gefter; Sean B Fain; Mark L Schiebler; Hiroto Hatabu
Journal:  Radiology       Date:  2021-04-06       Impact factor: 29.146

7.  Comparative Analysis of Lung Perfusion Scan and SPECT/CT for the Evaluation of Functional Lung Capacity.

Authors:  Hoon Young Suh; Sohyun Park; Hyun Gee Ryoo; Ji-Young Kim; Tae Sung Kim; Jong Mog Lee; Moon Soo Kim; Hee Chul Yang; Seok-Ki Kim
Journal:  Nucl Med Mol Imaging       Date:  2019-11-11

8.  Pulmonary Functional Imaging for Lung Adenocarcinoma: Combined MRI Assessment Based on IVIM-DWI and OE-UTE-MRI.

Authors:  Hui Liu; Liyun Zheng; Gaofeng Shi; Qian Xu; Qi Wang; Hongshan Zhu; Hui Feng; Lijia Wang; Ning Zhang; Meng Xue; Yongming Dai
Journal:  Front Oncol       Date:  2021-07-06       Impact factor: 6.244

9.  Inflow-weighted pulmonary perfusion: comparison between dynamic contrast-enhanced MRI versus perfusion scintigraphy in complex pulmonary circulation.

Authors:  Yi-Ru Lin; Shang-Yueh Tsai; Teng-Yi Huang; Hsiao-Wen Chung; Yi-Luan Huang; Fu-Zong Wu; Chu-Chuan Lin; Nan-Jing Peng; Ming-Ting Wu
Journal:  J Cardiovasc Magn Reson       Date:  2013-02-28       Impact factor: 5.364

10.  Gallium-68 perfusion positron emission tomography/computed tomography to assess pulmonary function in lung cancer patients undergoing surgery.

Authors:  Pierre-Yves Le Roux; Tracy L Leong; Stephen A Barnett; Rodney J Hicks; Jason Callahan; Peter Eu; Renee Manser; Michael S Hofman
Journal:  Cancer Imaging       Date:  2016-08-20       Impact factor: 3.909

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