Modern preoperative imaging and functional mapping in patients with intracranial glioma

Author:

Sollmann Nico1234ORCID,Zhang Haosu5,Kloth Christopher1,Zimmer Claus23,Wiestler Benedikt26ORCID,Rosskopf Johannes17ORCID,Kreiser Kornelia18,Schmitz Bernd17,Beer Meinrad1,Krieg Sandro M.35

Affiliation:

1. Department of Diagnostic and Interventional Radiology, University Hospital Ulm, Ulm, Germany

2. Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, München, Germany

3. TUM-Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, München, Germany

4. Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, United States

5. Department of Neurosurgery, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, München, Germany

6. TranslaTUM – Central Institute for Translational Cancer Research, Klinikum rechts der Isar, Technical University of Munich, München, Germany

7. Section of Neuroradiology, Bezirkskrankenhaus Günzburg, Günzburg, Germany

8. Department of Radiology and Neuroradiology, Universitäts- und Rehabilitationskliniken Ulm, Ulm, Germany

Abstract

Magnetic resonance imaging (MRI) in therapy-naïve intracranial glioma is paramount for neuro-oncological diagnostics, and it provides images that are helpful for surgery planning and intraoperative guidance during tumor resection, including assessment of the involvement of functionally eloquent brain structures. This study reviews emerging MRI techniques to depict structural information, diffusion characteristics, perfusion alterations, and metabolism changes for advanced neuro-oncological imaging. In addition, it reflects current methods to map brain function close to a tumor, including functional MRI and navigated transcranial magnetic stimulation with derived function-based tractography of subcortical white matter pathways. We conclude that modern preoperative MRI in neuro-oncology offers a multitude of possibilities tailored to clinical needs, and advancements in scanner technology (e. g., parallel imaging for acceleration of acquisitions) make multi-sequence protocols increasingly feasible. Specifically, advanced MRI using a multi-sequence protocol enables noninvasive, image-based tumor grading and phenotyping in patients with glioma. Furthermore, the add-on use of preoperatively acquired MRI data in combination with functional mapping and tractography facilitates risk stratification and helps to avoid perioperative functional decline by providing individual information about the spatial location of functionally eloquent tissue in relation to the tumor mass. Key Points:  Citation Format

Publisher

Georg Thieme Verlag KG

Subject

Radiology, Nuclear Medicine and imaging

Reference132 articles.

1. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2012-2016;Q T Ostrom;Neuro-oncology,2019

2. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2009-2013;Q T Ostrom;Neuro-oncology,2016

3. The 2021 WHO Classification of Tumors of the Central Nervous System: a summary;D N Louis;Neuro-oncology,2021

4. Surgical oncology for gliomas: the state of the art;N Sanai;Nat Rev Clin Oncol,2018

5. SEOM clinical guidelines for diagnosis and treatment of glioblastoma (2017);M Martinez-Garcia;Clinical & translational oncology: official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico,2018

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3