TY - JOUR
T1 - Dynamic contrast-enhanced perfusion area detector CT for non-small cell lung cancer patients
T2 - Influence of mathematical models on early prediction capabilities for treatment response and recurrence after chemoradiotherapy
AU - Ohno, Yoshiharu
AU - Koyama, Hisanobu
AU - Fujisawa, Yasuko
AU - Yoshikawa, Takeshi
AU - Seki, Shinichiro
AU - Sugihara, Naoki
AU - Sugimura, Kazuro
N1 - Funding Information:
This prospective study was approved by the institutional review board of Kobe University Graduate School of Medicine and written informed consent was obtained from all patients. It was financially and technically supported by Toshiba Medical Systems Corporation, and financially by Grants-in-Aid for Scientific Research from the Japanese Ministry of Education, Culture, Sports, Science and Technology (JSTS.KAKEN; No. 24591762), the Adaptive and Seamless Technology Transfer Program through Target Driven R & D from the Japan Science and Technology (JST) Agency and Bayer Pharma. Two of the authors (Y.F. and N.S.), who are employees of Toshiba Medical Systems Corporation, developed the software, but had no control over any data or information submitted for publication or any control over any parts of data and information included in this study.
Funding Information:
This work was supported by Grants-in-Aid for Scientific Research from the Japanese Ministry of Education, Culture, Sports, Science and Technology (JSTS.KAKEN; No. 24591762 ), the Adaptive and Seamless Technology Transfer Program through Target Driven R & D from the Japan Science and Technology (JST) Agency ( AS2511335P ), Toshiba Medical Systems Corporation and Bayer Pharma .
Publisher Copyright:
© 2015 Elsevier Ireland Ltd. All rights reserved.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Purpose To determine the capability and influence of the mathematical method on dynamic contrast-enhanced (CE-) perfusion area detector CT (ADCT) for early prediction of treatment response as well as progression free and overall survival (PFS and OS) of non-small cell lung cancer (NSCLC) patients treated with chemoradiotherapy. Materials and methods Sixty-six consecutive stage III NSCLC patients underwent dynamic CE-perfusion ADCT examinations, chemoradiotherapy and follow-up examinations. Response Evaluation Criteria in Solid Tumors (RECIST) criteria were used to divide all patients into responders and non-responders. Differences in each of the indices for all targeted lesions between measurements obtained 2 weeks prior to the first and the third course of chemotherapy were determined for all patients. ROC analyses were employed to determine the capability of perfusion indices as markers for distinguishing RECIST responders from non-responders. To evaluate their capability for early prediction of therapeutic effect, OS of perfusion index-based responders and non-responders were compared by using the Kaplan-Meier method followed by log-rank test. Results Area under the curve (Az) for total perfusion by means of the dual-input maximum slope method was significantly larger than that of pulmonary arterial perfusion using the same method (p = 0.007) and of perfusion with the single-input maximum slope method (p = 0.007). Mean OS demonstrated significantly difference between responder- and non-responder groups for total perfusion (p = 0.02). Conclusion Mathematical models have significant influence on assessment for early prediction of treatment response, disease progression and overall survival using dynamic CE-perfusion ADCT for NSCLC patients treated with chemoradiotherapy.
AB - Purpose To determine the capability and influence of the mathematical method on dynamic contrast-enhanced (CE-) perfusion area detector CT (ADCT) for early prediction of treatment response as well as progression free and overall survival (PFS and OS) of non-small cell lung cancer (NSCLC) patients treated with chemoradiotherapy. Materials and methods Sixty-six consecutive stage III NSCLC patients underwent dynamic CE-perfusion ADCT examinations, chemoradiotherapy and follow-up examinations. Response Evaluation Criteria in Solid Tumors (RECIST) criteria were used to divide all patients into responders and non-responders. Differences in each of the indices for all targeted lesions between measurements obtained 2 weeks prior to the first and the third course of chemotherapy were determined for all patients. ROC analyses were employed to determine the capability of perfusion indices as markers for distinguishing RECIST responders from non-responders. To evaluate their capability for early prediction of therapeutic effect, OS of perfusion index-based responders and non-responders were compared by using the Kaplan-Meier method followed by log-rank test. Results Area under the curve (Az) for total perfusion by means of the dual-input maximum slope method was significantly larger than that of pulmonary arterial perfusion using the same method (p = 0.007) and of perfusion with the single-input maximum slope method (p = 0.007). Mean OS demonstrated significantly difference between responder- and non-responder groups for total perfusion (p = 0.02). Conclusion Mathematical models have significant influence on assessment for early prediction of treatment response, disease progression and overall survival using dynamic CE-perfusion ADCT for NSCLC patients treated with chemoradiotherapy.
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U2 - 10.1016/j.ejrad.2015.11.009
DO - 10.1016/j.ejrad.2015.11.009
M3 - Article
C2 - 26724663
AN - SCOPUS:84955487521
VL - 85
SP - 176
EP - 186
JO - European Journal of Radiology
JF - European Journal of Radiology
SN - 0720-048X
IS - 1
ER -