异柠檬酸脱氢酶野生型胶质母细胞瘤位置与预后之间关系的可视化:利用开源数据集进行的体素Cox回归分析。

IF 2.4 3区 医学 Q2 CLINICAL NEUROLOGY
Natsuko Atsukawa, Hiroyuki Tatekawa, Daiju Ueda, Tatsushi Oura, Shu Matsushita, Daisuke Horiuchi, Hirotaka Takita, Yasuhito Mitsuyama, Reia Baba, Taro Tsukamoto, Taro Shimono, Yukio Miki
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引用次数: 0

摘要

目的:本研究利用癌症影像档案(TCIA)中各种异柠檬酸脱氢酶(IDH)野生型胶质母细胞瘤的磁共振图像,研究了胶质母细胞瘤患者肿瘤位置与预后之间的相关性。采用体素Cox回归分析法观察肿瘤位置与预后之间的关系:方法:选取IDH野生型胶质母细胞瘤患者,从TCIA数据集中收集他们的生存率、人口统计学数据和肿瘤特征。此外,还收集了对比度增强后 T1 加权成像、T2-流体衰减反转恢复成像和肿瘤分割数据。在将每幅图像和肿瘤分割感兴趣区与 MNI 标准空间进行仿射配准后,进行了体素考克斯回归分析。该分析确定了在调整协变量后,肿瘤的存在与否与每个体素的预后之间的关系:该研究包括 769 名参与者,其中男性 464 人,女性 305 人(平均年龄为 63 岁 ± 12 [标准差])。危险比值图显示,位于前基底内侧区域以及第三脑室和第四脑室周围的肿瘤预后较差,突显了在这些区域进行完全切除和治疗的难度,无论肿瘤体积大小。相反,位于右颞叶和枕叶的肿瘤预后良好:结论:本研究显示肿瘤位置与预后之间存在关联。这些发现可能有助于临床医生为胶质母细胞瘤患者制定更精确、更有效的治疗方案,从而改善他们的治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualizing the association between the location and prognosis of isocitrate dehydrogenase wild-type glioblastoma: a voxel-wise Cox regression analysis with open-source datasets.

Purpose: This study examined the correlation between tumor location and prognosis in patients with glioblastoma using magnetic resonance images of various isocitrate dehydrogenase (IDH) wild-type glioblastomas from The Cancer Imaging Archive (TCIA). The relationship between tumor location and prognosis was visualized using voxel-wise Cox regression analysis.

Methods: Participants with IDH wild-type glioblastoma were selected, and their survival and demographic data and tumor characteristics were collected from TCIA datasets. Post-contrast-enhanced T1-weighted imaging, T2-fluid attenuated inversion recovery imaging, and tumor segmentation data were also compiled. Following affine registration of each image and tumor segmentation region of interest to the MNI standard space, a voxel-wise Cox regression analysis was conducted. This analysis determined the association of the presence or absence of the tumor with the prognosis in each voxel after adjusting for the covariates.

Results: The study included 769 participants of 464 men and 305 women (mean age, 63 years ± 12 [standard deviation]). The hazard ratio map indicated that tumors in the medial frontobasal region and around the third and fourth ventricles were associated with poorer prognoses, underscoring the challenges of complete resection and treatment accessibility in these areas regardless of the tumor volume. Conversely, tumors located in the right temporal and occipital lobes had favorable prognoses.

Conclusion: This study showed an association between tumor location and prognosis. These findings may assist clinicians in developing more precise and effective treatment plans for patients with glioblastoma to improve their management.

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来源期刊
Neuroradiology
Neuroradiology 医学-核医学
CiteScore
5.30
自引率
3.60%
发文量
214
审稿时长
4-8 weeks
期刊介绍: Neuroradiology aims to provide state-of-the-art medical and scientific information in the fields of Neuroradiology, Neurosciences, Neurology, Psychiatry, Neurosurgery, and related medical specialities. Neuroradiology as the official Journal of the European Society of Neuroradiology receives submissions from all parts of the world and publishes peer-reviewed original research, comprehensive reviews, educational papers, opinion papers, and short reports on exceptional clinical observations and new technical developments in the field of Neuroimaging and Neurointervention. The journal has subsections for Diagnostic and Interventional Neuroradiology, Advanced Neuroimaging, Paediatric Neuroradiology, Head-Neck-ENT Radiology, Spine Neuroradiology, and for submissions from Japan. Neuroradiology aims to provide new knowledge about and insights into the function and pathology of the human nervous system that may help to better diagnose and treat nervous system diseases. Neuroradiology is a member of the Committee on Publication Ethics (COPE) and follows the COPE core practices. Neuroradiology prefers articles that are free of bias, self-critical regarding limitations, transparent and clear in describing study participants, methods, and statistics, and short in presenting results. Before peer-review all submissions are automatically checked by iThenticate to assess for potential overlap in prior publication.
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