Toshihiko Iuchi1, Kazuo Hatano2, Yoshio Uchino3, Makiko Itami4, Yuzo Hasegawa5, Koichiro Kawasaki5, Tsukasa Sakaida5, Ryusuke Hara6. 1. Division of Neurological Surgery, Chiba Cancer Center, Chiba, Japan. Electronic address: tiuchi@chiba-cc.jp. 2. Division of Radiation Oncology, Tokyo Bay Advanced Imaging and Radiation Oncology Clinic, Makuhari, Chiba, Japan. 3. Division of Nuclear Medicine, Chiba Ryogo Center, Chiba, Japan. 4. Division of Surgical Pathology, Chiba Cancer Center, Chiba, Japan. 5. Division of Neurological Surgery, Chiba Cancer Center, Chiba, Japan. 6. Division of Radiation Oncology, Chiba Cancer Center, Chiba, Japan.
Abstract
PURPOSE: The purpose of this study was to retrospectively assess the feasibility of radiation therapy planning for glioblastoma multiforme (GBM) based on the use of methionine (MET) positron emission tomography (PET), and the correlation among MET uptake, radiation dose, and tumor control. METHODS AND MATERIALS: Twenty-two patients with GBM who underwent MET-PET prior to radiation therapy were enrolled. MET uptake in 30 regions of interest (ROIs) from 22 GBMs, biologically effective doses (BEDs) for the ROIs and their ratios (MET uptake:BED) were compared in terms of whether the ROIs were controlled for >12 months. RESULTS: MET uptake was significantly correlated with tumor control (odds ratio [OR], 10.0; P = .005); however, there was a higher level of correlation between MET uptake:BED ratio and tumor control (OR, 40.0; P < .0001). These data indicated that the required BEDs for controlling the ROIs could be predicted in terms of MET uptake; BED could be calculated as [34.0 × MET uptake] Gy from the optimal threshold of the MET uptake:BED ratio for tumor control. CONCLUSIONS: Target delineation based on MET-PET was demonstrated to be feasible for radiation therapy treatment planning. MET-PET could not only provide precise visualization of infiltrating tumor cells but also predict the required radiation doses to control target regions.
PURPOSE: The purpose of this study was to retrospectively assess the feasibility of radiation therapy planning for glioblastoma multiforme (GBM) based on the use of methionine (MET) positron emission tomography (PET), and the correlation among MET uptake, radiation dose, and tumor control. METHODS AND MATERIALS: Twenty-two patients with GBM who underwent MET-PET prior to radiation therapy were enrolled. MET uptake in 30 regions of interest (ROIs) from 22 GBMs, biologically effective doses (BEDs) for the ROIs and their ratios (MET uptake:BED) were compared in terms of whether the ROIs were controlled for >12 months. RESULTS: MET uptake was significantly correlated with tumor control (odds ratio [OR], 10.0; P = .005); however, there was a higher level of correlation between MET uptake:BED ratio and tumor control (OR, 40.0; P < .0001). These data indicated that the required BEDs for controlling the ROIs could be predicted in terms of MET uptake; BED could be calculated as [34.0 × MET uptake] Gy from the optimal threshold of the MET uptake:BED ratio for tumor control. CONCLUSIONS: Target delineation based on MET-PET was demonstrated to be feasible for radiation therapy treatment planning. MET-PET could not only provide precise visualization of infiltrating tumor cells but also predict the required radiation doses to control target regions.
Authors: Robert H Press; Jim Zhong; Saumya S Gurbani; Brent D Weinberg; Bree R Eaton; Hyunsuk Shim; Hui-Kuo G Shu Journal: Neurosurgery Date: 2019-08-01 Impact factor: 4.654
Authors: Christopher L Tinkle; Elizabeth C Duncan; Mikhail Doubrovin; Yuanyuan Han; Yimei Li; Hyun Kim; Alberto Broniscer; Scott E Snyder; Thomas E Merchant; Barry L Shulkin Journal: J Nucl Med Date: 2018-08-02 Impact factor: 10.057
Authors: John T Lucas; Nick Serrano; Hyun Kim; Xingyu Li; Scott E Snyder; Scott Hwang; Yimei Li; Chia-Ho Hua; Alberto Broniscer; Thomas E Merchant; Barry L Shulkin Journal: J Neurooncol Date: 2017-01-11 Impact factor: 4.130
Authors: John T Lucas; David A Cooper; Scott Hwang; Christopher Tinkle; Xingyu Li; Yimei Li; Brent Orr; Thomas E Merchant; Alberto Broniscer Journal: Int J Radiat Oncol Biol Phys Date: 2017-05-04 Impact factor: 7.038