Yoshiharu Ohno1,2, Masao Yui3, Daisuke Takenaka4, Takeshi Yoshikawa4, Kaori Yamamoto3, Masato Ikedo3, Saki Takeda5, Akiyoshi Iwase5, Satomu Hanamatsu1, Yuki Obama1, Hiroyuki Nagata1, Takahiro Ueda1, Hirotaka Ikeda1, Kazuhiro Murayama2, and Hiroshi Toyama1
1Radiology, Fujita Health University School of Medicine, Toyoake, Japan, 2Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan, 3Canon Medical Systems Corporation, Otawara, Japan, 4Diagnostic Radiology, Hyogo Cancer Center, Akashi, Japan, 5Radiology, Fujita Health University Hospital, Toyoake, Japan
Synopsis
We hypothesize that CEST imaging has a potential for therapeutic effect
prediction in NSCLC patients treated with chemoradiotherapy and may be at least
as valuable as DWI and FDG-PET/CT.
Moreover, combined predictors may improve therapeutic effect prediction
capability, when compared with single predictor from MRI or PET/CT. The purpose of this study was to compare the
capability of therapeutic effect prediction for chemoradiotherapy among CEST
imaging, DWI, FDG-PET/CT and combined predictors from MRI and PET/CT in NSCLC
patients.
Introduction
In the last a few decades, FDG-PET or PET/CT and MRI including DWI and
dynamic first-pass CE perfusion MRI as well as dynamic first-pass CE-perfusion
CT have potentials for therapeutic effect evaluation or prediction in non-small
cell lung cancer (NSCLC) patients1.
On the other hands, chemical exchange saturation transfer (CEST) imaging
at 3.5 ppm (APTw imaging) has been suggested as one of the MR-based molecular
imaging techniques in not only brain, but also body field in the last decade. CEST Imaging can be performed on proteins,
amino acids and DNAs including chemical exchangeable protons such as hydroxyl protons (-OH: ~1ppm), amine protons
(-NH2: ~2ppm) and amide protons (R-C(=O)-NH2 or R-C(=O)-NHR1 <R ≠ H>: ~3.5ppm)2, 3. In addition, Ohno, et al tested the
capability of APTw imaging for diagnosis of pulmonary nodule4, 5. However, no major reports have been evaluated
the capability for therapeutic effect prediction among CEST, DWI and FDG-PET/CT
as well as combined indexes from MRI and PET/CT in NSCLC patients treated with
conservative therapy. We hypothesize
that CEST imaging has a potential for therapeutic effect prediction in NSCLC
patients treated with chemoradiotherapy and may be at least as valuable as DWI
and FDG-PET/CT. Moreover, combined
predictors may improve therapeutic effect prediction capability, when compared
with single predictor from MRI or PET/CT.
The purpose of this study was to compare the capability of therapeutic
effect prediction for chemoradiotherapy among CEST imaging, DWI, FDG-PET/CT and
combined predictors from MRI and PET/CT in NSCLC patients.Materials and Methods
Fifty stage III NSCLC patients (20 men and 30
women; ; mean age 74 years <age rang 62-81 years> underwent CEST imaging,
DWI, FDG-PET/CT, and chemoradiotherapy and follow-up examinations. Based on the results of follow up examination, all patients were divided into responder (n=15) and non-responder (n=35)
groups. To obtain CEST data in
each subject, respiratory-synchronized FASE imaging was conducted following a
series of magnetization transfer (MT) pulses.
Then, magnetization transfer ratio asymmetry (MTRasym) was
calculated from z-spectra in each pixel, and MTRasym map was
computationally generated. To obtain
radiological indexes on CEST imaging, DWI and PET/CT, ROIs were placed over
each targeted lesion, and determined MTRasym, apparent diffusion
coefficient (ADC) and maximum standard uptake value (SUVmax). To compare all indexes between two groups,
Student’s t-test was performed. For determination
of predictors for therapeutic outcome, univariate and multivariate logistic
regression analyses were performed. To
compare diagnostic performance among all indexes and combined predictors and
determination of all feasible threshold values, ROC analyses were performed. When applied each feasible threshold value,
sensitivity, specificity and accuracy were compared among all predictors and
combined predictors by McNemar’s test. Finally,
disease free and overall survivals between both groups assessed by each method
were compared by Kaplan-Meier method followed by log-rank test. A p value less than 0.05 was considered as
significant in this study. Results
Representative cases are shown in Figures 1. MTRasym, ADC and SUVmax
had significant difference between responder and non-responder groups
(p<0.05). Results of univariate and
multivariate regression analyses for therapeutic effect prediction on CEST
imaging, DWI, PET/CT and combined method are shown in Figure 2. MTRasym, ADC and SUVmax
were determined as significant predictors on not only univariate, but also
multi variate regression analyses (p<0.05).
Results of ROC analysis for therapeutic effect prediction on CEST
imaging, DWI, PET/CT and combined method are shown in Figure 3. Area under the curve, specificity and
accuracy of combined predictors were significantly larger or higher than those
of MTRasym or ADC as well as SUVmax (p<0.05). Results of Kaplan-Meir analysis followed by
log-rank test for comparison of disease free and overall survivals are shown in
Figure 4. All indexes as well as
combined predictors showed significant differences of disease free and overall
survivals between responders and non-responders, which were divided by feasible
threshold values for all indexes (p<0.05). Conclusion
CEST
is considered as at least as valuable as DWI and PET/CT and would be better to
be combined all information for predicting therapeutic effect of
chemoradiotherapy in NSCLC. Acknowledgements
This study was technically and financially supported by Canon Medical Systems Corporation. References
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