| International Session（Symposium）5(JSGS・JSGE・JGES) |
| Fri. November 6th 9:30 - 12:00 Room 3: Kobe International Exhibition Hall No.2 Building Conference Room 3A |
| Evaluation of prognostic potential using parameters before and after neoadjuvant treatment and construction of algorithmic treatment for BRPC | |||
| Ken-ichi Okada1, Hiroki Yamaue1 | |||
| 1Second Department of Surgery, Wakayama Medical University | |||
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| Purpose: The aim of this study is to investigate the feasibility of scoring system of prognostic parameters before and after neoadjuvant therapy and to construct the algorithmic treatment for BRPC. Methods: We determined six favorable parameters as follows; the value of CA19-9 less than 100 U/ml prior to neoadjuvant therapy, the presence of normal post-treatment value of CA 19-9, SUV-max value of FDG PET/CT less than 6.0 prior to neoadjuvant therapy, the presence of the reduction index of post/pre-treatment SUV-max value more than 50.0%, pre-treatment whole tumor ADC value on DW-MRI more than 1.20x10-3 mm2/s, and post-treatment whole tumor ADC value more than 1.40x10-3 mm2/s. The favorable factors were counted as one point. The integrated point equal to and more than 4 was categorized to high score group. Results: OS and RFS in the patients was greater in patients with high score (n=11) than with low score (n=18; log-rank test P=0.03/0.028). Pathological N0 status (P<0.05) and histological response of more than IIb (P<0.05) were found at a significantly higher incidence in high score group. Conclusions: It is feasible to predict OS and RFS with the scoring system using current prognostic indexes before/after neoadjuvant therapy for BRPC. Current strategy: We have started the two-step algorithmic treatment using two chemotherapy regimens and one chemoradiotherapy for BRPC-A using some parameters. |
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Index Term 1: prognostic parameters Index Term 2: algorithmic treatment |
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