Yoshiharu Ohno MD, PhD, Presenter: Research Grant, Toshiba Corporation Research Grant, Koninklijke Philips NV Research Grant, Bayer AG Research Grant, DAIICHI SANKYO Group Research Grant, Eisai Co, Ltd Research Grant, Terumo Corporation Research Grant, Fuji Yakuhin Co, Ltd Research Grant, FUJIFILM Holdings Corporation Research Grant, Guerbet SA

Shinichiro Seki, Abstract Co-Author: Nothing to Disclose

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

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

Yasuko Fujisawa MS, Abstract Co-Author: Employee, Toshiba Corporation

Naoki Sugihara MENG, Abstract Co-Author: Employee, Toshiba Corporation

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

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

Noriyuki Negi RT, Abstract Co-Author: Nothing to Disclose

Tohru Murakami, Abstract Co-Author: Nothing to Disclose

Takaharu Nishitani RT, Abstract Co-Author: Nothing to Disclose

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

To determine the influence of mathematical method on dynamic contrast-enhanced (CE-) perfusion area-detector CT (ADCT) to early prediction of treatment response and recurrence in non-small cell lung cancer (NSCLC) patients with chemoradiotherapy.

66 consecutive stage IIIB NSCLC patients underwent dynamic CE-perfusion ADCT examinations, chemoradiotherapy and follow-up examinations. Dynamic CE-perfusion ADCT examinations were performed at 2 weeks prior to treatment and third course of chemotherapy. According to RECIST criteria, all patients were divided as follows: partial response (PR) group and stable and progressive diseases (SD+PD) group. In this study, three mathematical models were applied to calculate perfusion ADCT indexes. Tumor perfusions were determined by dual- and single-input maximum slope methods, and extraction fraction and distribution volume were assessed by Patlak plot method. For early therapeutic effect assessment on each index, differences between two time points at all targeted lesions were averaged for determination of final value of each index in all patients. To evaluate capability of each index for therapeutic effect prediction, ROC analysis was performed to differentiate two groups. To determine the utility of each index for early prediction of recurrence, each perfusion index with applying feasible threshold value was compared recurrence free survival between responders and non-responders by Kaplan-Meier method followed by the log-rank test.

Area under the curves (Azs) of tumor perfusion by dual-input maximum slope method (Az=0.85) and distribution volume (Az=0.84) had significantly larger than that of extraction fraction (Az=0.48, p<0.05) and/ or tumor perfusion by single-input maximum slope method (Az=0.72, p<0.05). When feasible threshold values applied, recurrence free survivals of tumor perfusion by dual-input maximum slope method (p=0.0002) and distribution volume (p=0.01) showed significant differences between responders and non-responders.

Early treatment response and recurrence prediction capabilities on dynamic CE-perfusion ADCT are significantly affected by mathematical models in NSCLC patients with chemoradiotherapy.

Mathematical model is considered as one of the important factors for early treatment response and recurrence prediction on dynamic CE-perfusion ADCT in NSCLC patients with chemoradiotherapy.

Ohno, Y, Seki, S, Nishio, M, Koyama, H, Fujisawa, Y, Sugihara, N, Yoshikawa, T, Matsumoto, S, Negi, N, Murakami, T, Nishitani, T, Sugimura, K, Dynamic Contrast-enhanced Perfusion Area Detector CT in Non-small Cell Lung Cancer Patients: Influence of Mathematical Model to Early Prediction Capabilities for Treatment Response and Recurrence after Chemoradiotherapy.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14005797.html