Image-based Re-evaluation of the JCOG0911 Study Focusing on Tumor Volume and Survival, Disease Progression Diagnosis, and Radiomic Prognostication for Newly Diagnosed Glioblastoma.

Manabu Kinoshita, Yasutaka Fushimi, Tomohiko Masumoto, Keita Sasaki, Tetsuya Sekita, Atsushi Natsume, Toshihiko Wakabashi, Takashi Komori, Shunsuke Tsuzuki, Yoshihiro Muragaki, Kazuya Motomura, Ryuta Saito, Kenichi Sato, Takaaki Beppu, Masamichi Takahashi, Jun-Ichiro Kuroda, Yukihiko Sonoda, Keiichi Kobayashi, Kazuhiko Mishima, Koichi Mitsuya, Fumiyuki Yamasaki, Akihiro Inoue, Tomoo Matsutani, Hideo Nakamura, Shigeru Yamaguchi, Eiichi Ishikawa, Masato Nakaya, Shota Tanaka, Kenta Ujifuku, Hiroyuki Uchida, Masayuki Kanamori, Ryohei Otani, Noriyuki Kijima, Namiko Nishida, Atsuo Yoshino, Yohei Mineharu, Yoshiki Arakawa, Haruhiko Fukuda, Yoshitaka Narita
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Abstract

Purpose: To re-evaluate images recovered from JCOG0911, a randomized phase 2 trial for newly diagnosed glioblastoma (nGBM) conducted by the Japan Clinical Oncology Group (JCOG) Brain Tumor Study Group.

Methods: The correlation between tumor volumes and survival was evaluated, followed by progression-free survival (PFS) analysis by independent central review based on Response Assessment in Neuro-Oncology (RANO) criteria using MRI recovered from 118 nGBM patients enrolled in the JCOG0911 trial. A radiomic analysis was also performed to identify radiomic features predictive of nGBM prognosis.

Results: The distribution of the Gd-enhancing and T2-weighted image/fluid attenuated inversion recovery-high intensity lesions mainly occupied white matter. JCOG0911 consisted of more subjects with right-sided lesions. The median extent of resection of the Gd-enhancing lesions was 99%. The overall survival showed a nonsignificant negative trend with postoperative Gd-enhancing lesion volume (P = 0.22), with the hazard ratio increasing in parallel with its volume. The median PFS after registration was 302 and 308 days for local Response Evaluation Criteria in Solid Tumors (RECIST)-based and central RANO-based diagnoses. However, an apparent discrepancy was observed between the two in the early phase, presumably due to the misdiagnosis of pseudoprogression by local RECIST-based diagnosis. Radiomic analysis identified 28 radiomic features predictive of nGBM prognosis, 5 of which were those previously identified in a separate cohort. The constructed radiomics-based prognostic model stratified the cohort into high- and low-risk groups (P = 0.028).

Conclusion: Novel analytical methods that could be incorporated into future clinical trials were successfully tested. RANO and RECIST may not differ in progression calls if pseudoprogression is appropriately handled.

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基于图像的 JCOG0911 研究再评估,重点关注新诊断胶质母细胞瘤的肿瘤体积和存活率、疾病进展诊断和放射诊断。
目的:重新评估日本临床肿瘤学小组(JCOG)脑肿瘤研究小组开展的新诊断胶质母细胞瘤(nGBM)随机2期试验JCOG0911的图像:根据神经肿瘤学反应评估(RANO)标准,通过独立的中央审查,使用参加 JCOG0911 试验的 118 名 nGBM 患者的 MRI 恢复数据,评估肿瘤体积与生存期之间的相关性,然后进行无进展生存期(PFS)分析。此外还进行了放射学分析,以确定可预测 nGBM 预后的放射学特征:结果:Gd增强和T2加权成像/流体衰减反转恢复高强度病变的分布主要占据白质。JCOG0911 中右侧病变的受试者较多。钆增强病灶的中位切除率为 99%。总生存率与术后钆增强病灶体积呈不显著的负相关趋势(P = 0.22),危险比随着病灶体积的增加而增加。基于实体瘤反应评估标准(RECIST)的局部诊断和基于中心RANO诊断的登记后中位生存期分别为302天和308天。然而,在早期阶段,两者之间出现了明显的差异,这可能是由于基于局部RECIST诊断的假性进展被误诊所致。放射组学分析发现了 28 个可预测 nGBM 预后的放射组学特征,其中 5 个是之前在另一个队列中发现的。构建的基于放射组学的预后模型将队列分为高风险组和低风险组(P = 0.028):结论:可用于未来临床试验的新型分析方法已成功通过测试。如果假性进展处理得当,RANO和RECIST在进展调用方面可能没有差异。
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Association between the Presence of the Parasagittal Cyst-like Structures and Cognitive Function. Image-based Re-evaluation of the JCOG0911 Study Focusing on Tumor Volume and Survival, Disease Progression Diagnosis, and Radiomic Prognostication for Newly Diagnosed Glioblastoma. Improving Vessel Visibility and Applying Artificial Intelligence to Autodetect Brain Metastasis for a 3D MR Imaging Sequence Capable of Simultaneous Images with and without Blood Vessel Suppression. Identification of the Distal Dural Ring Using Three-dimensional Motion-sensitized Driven-equilibrium Prepared T1-weighted Fast Spin Echo Imaging: Application to Paraclinoid Aneurysms. In-vitro Detection of Intramammary-like Macrocalcifications Using Susceptibility-weighted MR Imaging Techniques at 1.5T.
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