Yoshiharu Ohno MD, PhD, Presenter: Research Grant, Toshiba Coporation Research Grant, Koninklijke Philips Electronics NV Research Grant, Bayer AG Research Grant, DAIICHI SANKYO Group Research Grant, Eisai Co, Ltd Research Grant, Terumo Corporation Research Grant, Covidien AG Research Grant, FUJIFILM Holdings Corporation

Shinichiro Seki, Abstract Co-Author: Nothing to Disclose

Mizuho Nishio MD, Abstract Co-Author: Research Grant, Toshiba Corporation

Hisanobu Koyama MD, Abstract Co-Author: Nothing to Disclose

Maho Tsubakimoto MD, Abstract Co-Author: Nothing to Disclose

Takeshi Yoshikawa MD, Abstract Co-Author: Research Grant, Toshiba Corporation

Sumiaki Matsumoto MD, PhD, Abstract Co-Author: Research Grant, Toshiba Corporation

Katsusuke Kyotani RT, Abstract Co-Author: Nothing to Disclose

Nobukazu Aoyama RT, Abstract Co-Author: Nothing to Disclose

Akiko Kusaka RT, Abstract Co-Author: Nothing to Disclose

Saori Satou RT, Abstract Co-Author: Employee, Toshiba Corporation

Yoshimori Kassai MS, Abstract Co-Author: Employee, Toshiba Corporation

Satoshi Sugiura, Abstract Co-Author: Employee, Toshiba Corporation

Kazuro Sugimura MD, PhD, Abstract Co-Author: Research Grant, Toshiba Corporation Research Grant, Koninklijke Philips Electronics NV Research Grant, Bayer AG Research Grant, Eisai Co, Ltd Research Grant, DAIICHI SANKYO Group

To directly the compare capability for postoperative lung function prediction among 3D non-contrast-enhanced perfusion MRI (non-CE-perfusion MRI), 3D contrast-enhanced perfusion MRI (CE-perfusion MRI) and perfusion scan (Q scan) in non-small cell lung cancer (NSCLC) patients.

Seventeen NSCLC patients (10 men and 7 women) underwent non-CE-perfusion MRI, CE-perfusion MRI, Q scan, surgical treatment and pre- and postoperative FEV1% measurements. All non-CE-perfusion MRIs were acquired with a 3D fresh blood imaging obtained with an ECG-gated 3D half-Fourier fast SE sequence using a 3T scanner. On non-CE- and CE-perfusion MRIs and Q scan, each regional perfusion rate in the resected lobe was determined as signal intensity or radioisotope uptake ratio between resected lobe and total lung. Then, each postoperative FEV1% (poFEV1%) was predicted from preoperative FEV1% and regional perfusion rate in the resected lobe. To determine the capability of non-CE-perfusion MRI for regional perfusion assessment, regional perfusion rate of non-CE-perfusion MRI was statistically correlated with that of CE-perfusion MRI and Q scan. To determine the capability for prediction of postoperative lung function among three methods, each predicted poFEV1% was correlated with actual poFEV1%. Finally, the limits of agreement (mean difference±1.96xstandard deviation) between actual and each predicted poFEV1% was also evaluated by Bland-Altman analysis.

Regional perfusion rate of non-CE-perfusion MRI had significant and excellent correlations with that of CE-perfusion MRI (r=0.92, p<0.0001) and Q scan (r=0.84, p<0.0001). There were significant and excellent correlations between actual poFEV1% and poFEV1%s predicted by non-CE-perfusion MRI (r=0.91, p<0.0001), CE-perfusion MRI (r=0.92, p<0.0001) and Q scan (r=0.86, p<0.0001). The limits of agreement of non-CE-perfusion MRI (5.1±9.2 %) was smaller than that of Q scan (6.6±11.0 %), and almost equal to that of CE-perfusion MRI (5.8±8.6%) . 

Non-CE-perfusion MRI has better capability for postoperative lung function prediction than perfusion scan, and is considered at least as valuable as CE-perfusion MRI in NSCLC patients.

Non-CE-perfusion MRI has better capability for postoperative lung function prediction than perfusion scan, and is considered at least as valuable as CE-perfusion MRI in NSCLC patients.  

Ohno, Y, Seki, S, Nishio, M, Koyama, H, Tsubakimoto, M, Yoshikawa, T, Matsumoto, S, Kyotani, K, Aoyama, N, Kusaka, A, Satou, S, Kassai, Y, Sugiura, S, Sugimura, K, 3D Non-contrast-Enhanced Perfusion MRI vs. 3D Contrast-enhanced Perfusion MRI vs. Perfusion Scan: Capability for Postoperative Lung Function Prediction in Non-small Cell Lung Cancer Patients.  Radiological Society of North America 2013 Scientific Assembly and Annual Meeting, December 1 - December 6, 2013 ,Chicago IL. http://archive.rsna.org/2013/13015137.html