3D ECG‐ and respiratory‐gated non‐contrast‐enhanced (CE) perfusion MRI for postoperative lung function prediction in non‐small‐cell lung cancer patients: A comparison with thin‐section quantitative computed tomography, dynamic CE‐perfusion MRI, and perfusion scan. Issue 2 (19th November 2014)
- Record Type:
- Journal Article
- Title:
- 3D ECG‐ and respiratory‐gated non‐contrast‐enhanced (CE) perfusion MRI for postoperative lung function prediction in non‐small‐cell lung cancer patients: A comparison with thin‐section quantitative computed tomography, dynamic CE‐perfusion MRI, and perfusion scan. Issue 2 (19th November 2014)
- Main Title:
- 3D ECG‐ and respiratory‐gated non‐contrast‐enhanced (CE) perfusion MRI for postoperative lung function prediction in non‐small‐cell lung cancer patients: A comparison with thin‐section quantitative computed tomography, dynamic CE‐perfusion MRI, and perfusion scan
- Authors:
- Ohno, Yoshiharu
Seki, Shinichiro
Koyama, Hisanobu
Yoshikawa, Takeshi
Matsumoto, Sumiaki
Takenaka, Daisuke
Kassai, Yoshimori
Yui, Masao
Sugimura, Kazuro - Abstract:
- <abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="jmri24800-sec-0001" sec-type="section"> <title>Purpose</title> <p>To compare predictive capabilities of non‐contrast‐enhanced (CE)‐ and dynamic CE‐perfusion MRIs, thin‐section multidetector computed tomography (CT) (MDCT), and perfusion scan for postoperative lung function in non‐small cell lung cancer (NSCLC) patients.</p> </sec> <sec id="jmri24800-sec-0002" sec-type="section"> <title>Materials and Methods</title> <p>Sixty consecutive pathologically diagnosed NSCLC patients were included and prospectively underwent thin‐section MDCT, non‐CE‐, and dynamic CE‐perfusion MRIs and perfusion scan, and had their pre‐ and postoperative forced expiratory volume in one second (FEV<sub>1</sub>) measured. Postoperative percent FEV<sub>1</sub> (po%FEV<sub>1</sub>) was then predicted from the fractional lung volume determined on semiquantitatively assessed non‐CE‐ and dynamic CE‐perfusion MRIs, from the functional lung volumes determined on quantitative CT, from the number of segments observed on qualitative CT, and from uptakes detected on perfusion scans within total and resected lungs. Predicted po%FEV<sub>1</sub>s were then correlated with actual po%FEV<sub>1</sub>s, which were %FEV<sub>1</sub>s measured postoperatively. The limits of agreement were also determined.</p> </sec> <sec id="jmri24800-sec-0003" sec-type="section"> <title>Results</title> <p>All predicted po%FEV<sub>1</sub>s showed<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="jmri24800-sec-0001" sec-type="section"> <title>Purpose</title> <p>To compare predictive capabilities of non‐contrast‐enhanced (CE)‐ and dynamic CE‐perfusion MRIs, thin‐section multidetector computed tomography (CT) (MDCT), and perfusion scan for postoperative lung function in non‐small cell lung cancer (NSCLC) patients.</p> </sec> <sec id="jmri24800-sec-0002" sec-type="section"> <title>Materials and Methods</title> <p>Sixty consecutive pathologically diagnosed NSCLC patients were included and prospectively underwent thin‐section MDCT, non‐CE‐, and dynamic CE‐perfusion MRIs and perfusion scan, and had their pre‐ and postoperative forced expiratory volume in one second (FEV<sub>1</sub>) measured. Postoperative percent FEV<sub>1</sub> (po%FEV<sub>1</sub>) was then predicted from the fractional lung volume determined on semiquantitatively assessed non‐CE‐ and dynamic CE‐perfusion MRIs, from the functional lung volumes determined on quantitative CT, from the number of segments observed on qualitative CT, and from uptakes detected on perfusion scans within total and resected lungs. Predicted po%FEV<sub>1</sub>s were then correlated with actual po%FEV<sub>1</sub>s, which were %FEV<sub>1</sub>s measured postoperatively. The limits of agreement were also determined.</p> </sec> <sec id="jmri24800-sec-0003" sec-type="section"> <title>Results</title> <p>All predicted po%FEV<sub>1</sub>s showed significant correlation (0.73 ≤ <italic>r</italic> ≤ 0.93, <italic>P</italic> &lt; 0.0001) and limits of agreement with actual po%FEV<sub>1</sub> (non‐CE‐perfusion MRI: 0.3 ± 10.0%, dynamic CE‐perfusion MRI: 1.0 ± 10.8%, perfusion scan: 2.2 ± 14.1%, quantitative CT: 1.2 ± 9.0%, qualitative CT: 1.5 ± 10.2%).</p> </sec> <sec id="jmri24800-sec-0004" sec-type="section"> <title>Conclusion</title> <p>Non‐CE‐perfusion MRI may be able to predict postoperative lung function more accurately than qualitatively assessed MDCT and perfusion scan. J. Magn. Reson. Imaging 2015;42:340–353.</p> </sec> </abstract> … (more)
- Is Part Of:
- Journal of magnetic resonance imaging. Volume 42:Issue 2(2015)
- Journal:
- Journal of magnetic resonance imaging
- Issue:
- Volume 42:Issue 2(2015)
- Issue Display:
- Volume 42, Issue 2 (2015)
- Year:
- 2015
- Volume:
- 42
- Issue:
- 2
- Issue Sort Value:
- 2015-0042-0002-0000
- Page Start:
- 340
- Page End:
- 353
- Publication Date:
- 2014-11-19
- Subjects:
- Magnetic resonance imaging -- Periodicals
616 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1522-2586 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jmri.24800 ↗
- Languages:
- English
- ISSNs:
- 1053-1807
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5010.791000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 3317.xml