Magnetic Resonance Imaging Mapping of Brain Tumor Burden: Clinical Implications for Neurosurgical Management: Case Report.

Neurosurgery open Pub Date : 2021-09-16 eCollection Date: 2021-12-01 DOI:10.1093/neuopn/okab029
Jennifer M Connelly, Melissa A Prah, Fernando Santos-Pinheiro, Wade Mueller, Elizabeth Cochran, Kathleen M Schmainda
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引用次数: 3

Abstract

Background and importance: Distinction of brain tumor progression from treatment effect on postcontrast magnetic resonance imaging (MRI) is an ongoing challenge in the management of brain tumor patients. A newly emerging MRI biomarker called fractional tumor burden (FTB) has demonstrated the ability to spatially distinguish high-grade brain tumor from treatment effect with important implications for surgical management and pathological diagnosis.

Clinical presentation: A 58-yr-old male with glioblastoma was treated with standard concurrent chemoradiotherapy (CRT) after initial resection. Throughout follow-up imaging, the distinction of tumor progression from treatment effect was of concern. The surgical report from a redo resection indicated recurrent glioblastoma, while the tissue sent for pathological diagnosis revealed no tumor. Presurgical FTB maps confirmed the spatial variation of tumor and treatment effect within the contrast-agent enhancing lesion. Unresected lesion, shown to be an active tumor on FTB, was the site of substantial tumor growth postresection.

Conclusion: This case report introduces the idea that a newly developed MRI biomarker, FTB, can provide information of tremendous benefit for surgical management, pathological diagnosis as well as subsequent treatment management decisions in high-grade glioma.

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脑肿瘤负荷的磁共振成像测绘:神经外科治疗的临床意义:病例报告。
背景和重要性:通过磁共振成像(MRI)区分脑肿瘤进展和治疗效果是脑肿瘤患者治疗中一个持续的挑战。一种名为分数肿瘤负荷(FTB)的新出现的MRI生物标志物已经证明能够在空间上区分高级别脑肿瘤和治疗效果,对手术治疗和病理诊断具有重要意义。临床表现:一名58岁男性胶质母细胞瘤患者在初次切除后接受标准同步放化疗(CRT)治疗。在整个随访影像中,肿瘤进展与治疗效果的区分是值得关注的。手术报告显示复发性胶质母细胞瘤,而送去病理诊断的组织未发现肿瘤。术前FTB图证实了对比剂增强病灶内肿瘤的空间变化和治疗效果。未切除的病灶显示为FTB上的活动性肿瘤,是术后肿瘤大量生长的部位。结论:本病例报告介绍了一种新开发的MRI生物标志物FTB可以为高级别胶质瘤的手术治疗、病理诊断以及后续治疗决策提供巨大益处的信息。
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