Yoshiharu Ohno1,2, Masao Yui3, Yu Chen4, Yuji Kishida5, Shinichiro Seki1,2, Katsusuke Kyotani6, and Takeshi Yoshikawa1,2
1Division of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 2Advanced Biomedical Imaging Research Center, Kobe University Graduate School of Medicine, Kobe, Japan, 3Toshiba Medical Systems Corporation, Otawara, Japan, 4Toshiba Medical Systems (China) Co., Ltd., Beijin, China, 5Division of Radiology, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan, 6Center for Radiology and Radiation Oncology, Kobe University Hospital, Kobe, Japan
Synopsis
Gadolinium-based blood volume (Gd-based BV) map generated
between unenhanced and contrast-enhanced UTE-MRIs may have a potential for
regional perfusion assessment like lung perfused BV map on dual-energy CT in
patients with pulmonary diseases. We
hypothesized that Gd-based BV map has a potential to regional perfusion
assessment and postoperative lung function prediction as well as perfusion
SPECT and/ or conventional CT methods in NSCLC patients. The purpose of this study was to directly
compare the capability of Gd-based BV map for regional perfusion assessment
and/ or postoperative lung function prediction in NSCLC patients with perfusion
SPECT and conventional CT methods.
Introduction
Despite advances in radiation therapy and
chemotherapy, surgery is currently considered the best curative option for
stage I, II or IIIA non-small cell lung cancer (NSCLC) patients. In general, many potentially resectable
tumors occur in individuals with abnormal pulmonary functions, thus increasing
operative risk. Therefore, a few
guidelines and/ or algorithms are suggested as useful for prediction of
postoperative lung function in candidates for surgical treatment to NSCLC. Since 2013, pulmonary MR imaging with ultrashort
TE (UTE-MRI) has been suggested as having a potential to demonstrate lung
structures and morphological assessment as well as CT in last several years (1-3). However, there were no reports assessed the
potential of pulmonary MR imaging with UTE for pulmonary functional assessment
at 3T systems. Recently, we can generate
gadolinium-based blood volume (Gd-based BV) map by subtraction between
unenhanced and contrast-enhanced UTE-MRIs may have a potential for regional
perfusion assessment like lung perfused blood volume map on dual-energy CT in
patients with pulmonary diseases.
Moreover, no one compare its’ potential for prediction of postoperative
lung function than other modalities in NSCLC patients. We hypothesized that Gd-based BV map from unenhanced and
contrast-enhanced UTE-MRIs has a potential to regional perfusion assessment and
postoperative lung function prediction as well as perfusion SPECT and/ or
conventional CT methods in NSCLC patients.
The purpose of this study was to directly compare the capability of
Gd-based BV map generated from unenhanced and contrast-enhanced UTE-MRIs for
regional perfusion assessment and/ or postoperative lung function prediction in
NSCLC patients with perfusion SPECT and conventional CT methods.Materials and Methods
Twenty-nine consecutive
NSCLC patients (16 males and 13 females: mean age ± standard
deviation [SD]: 65.7 ± 11.1 years), who were candidates for surgical
treatment, underwent unenhanced and contrast-enhanced UTE-MRIs, thin-section CT,
perfusion SPECT, and measurements of FEV1% before and after lung
resection. All UTE-MRIs were examined by
a 3T MR system (Vantage Titan 3T, Toshiba) by respiratory-gated 3D radial UTE
pulse sequence (TR 4.0 ms/ TE 110 μs, flip angle 5 degree, 1×1×1 mm3
voxel size). On Gd-based BV map and
perfusion SPECT, each regional perfusion rate within the resected lobe was
determined as contrast enhancement and radioisotope uptake ratios between
resected lobe and total lung. Then,
postoperative FEV1% (poFEV1%) was predicted from Gd-based BV map (poFEV1%UTE-MRI)
and perfusion SPECT (poFEV1%Perfusion SPECT) were
assessed from regional perfusion rate within total and resected lungs.
Quantitatively and qualitatively CTs were predicted poFEV1%s (poFEV1%Quantitative
CT and poFEV1%Qualitative CT) from the functional
lung volumes determined by commercially available software and numbers of
segment between resected and total lung.
To determine the capability of Gd-based BV map for regional perfusion
assessment, regional perfusion rate of Gd-based BV map was statistically
correlated with that of perfusion SPECT.
To determine the capability for prediction of postoperative lung
function among four methods, each predicted poFEV1% was correlated
with actual poFEV1%. Finally,
the limits of agreement (mean±1.96´standard
deviation) between actual and each predicted poFEV1%s were also evaluated
by Bland-Altman analysis. A p value less
than 0.05was considered as significant in each statistical analysis.Results
Representative case is shown
in Figure 1. Regional perfusion rate of Gd-based
BV map had significant and excellent correlations with that of perfusion SPECT
(r=0.90, p<0.0001). Correlation and
the limits of agreement between each poFEV1% and actual poFEV1% are
shown in Figure 2. There are significant
and excellent correlations between actual poFEV1% and each poFEV1%
(0.74±0.86, p<0.0001).
The limits of agreement of Gd-based BV map (4.3±12.7%) were
smaller than that of qualitatively assessed CT (5.1±13.9%), and
almost equal to that of quantitatively assessed CT (3.5±10.8%) and perfusion
SPECT (4.2±14.5%).Conclusion
Gd-based
BV map generated between unenhanced and contrast-enhanced pulmonary MR imaging
with UTE has similar or slightly better capability for postoperative lung
function prediction in NSCLC patients, when compared with quantitatively and
qualitatively assessed CT and perfusion SPECT.Acknowledgements
This study was supported by Toshiba Medical Systems Corporation. References
- Johnson KM, Fain SB, Schiebler ML, Nagle S. Magn Reson Med. 2013; 70: 1241-1250.
- Ohno Y, Koyama H, Yoshikawa T, et al. J Magn Reson Imaging. 2016; 43: 512-532.
- Ohno Y, Koyama H, Yoshikawa T, et al. Radiology. 2017; 284: 562-573.