• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

脑肿瘤患者术前诊断的准确性——一项基于1061例患者鉴别诊断“前三列表”的前瞻性研究。

Precision of preoperative diagnosis in patients with brain tumor - A prospective study based on "top three list" of differential diagnosis for 1061 patients.

作者信息

Arita Kazunori, Miwa Makiko, Bohara Manoj, Moinuddin F M, Kamimura Kiyohisa, Yoshimoto Koji

机构信息

Department of Neurosurgery, Kagoshima University, Sakuragaoka, Kagoshima, Japan.

Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States.

出版信息

Surg Neurol Int. 2020 Mar 28;11:55. doi: 10.25259/SNI_5_2020. eCollection 2020.

DOI:10.25259/SNI_5_2020
PMID:32363050
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7193216/
Abstract

BACKGROUND

Accurate diagnosis of brain tumor is crucial for adequate surgical strategy. Our institution follows a comprehensive preoperative evaluation based on clinical and imaging information.

METHODS

To assess the precision of preoperative diagnosis, we compared the "top three list" of differential diagnosis (the first, second, and third diagnoses according to the WHO 2007 classification including grading) of 1061 brain tumors, prospectively and consecutively registered in preoperative case conferences from 2010 to the end of 2017, with postoperative pathology reports.

RESULTS

The correct diagnosis rate (sensitivity) of the first diagnosis was 75.8% in total. The sensitivity of the first diagnosis was high (84-94%) in hypothalamic-pituitary and extra-axial tumors, 67-75% in intra-axial tumors, and relatively low (29-42%) in intraventricular and pineal region tumors. Among major three intra-axial tumors, the sensitivity was highest in brain metastasis: 83.8% followed by malignant lymphoma: 81.4% and glioblastoma multiforme: 73.1%. Sensitivity was generally low (≦60%) in other gliomas. These sensitivities generally improved when the second and third diagnoses were included; 86.3% in total. Positive predictive value (PPV) was 76.9% in total. All the three preoperative diagnoses were incorrect in 3.4% (36/1061) of cases even when broader brain tumor classification was applied.

CONCLUSION

Our institutional experience on precision of preoperative diagnosis appeared around 75% of sensitivity and PPV for brain tumor. Sensitivity improved by 10% when the second and third diagnoses were included. Neurosurgeons should be aware of these features of precision in preoperative differential diagnosis of a brain tumor for better surgical strategy and to adequately inform the patients.

摘要

背景

准确诊断脑肿瘤对于制定合适的手术策略至关重要。我们机构采用基于临床和影像学信息的全面术前评估。

方法

为评估术前诊断的准确性,我们将2010年至2017年底前瞻性连续登记于术前病例讨论中的1061例脑肿瘤的鉴别诊断“前三诊断清单”(根据WHO 2007分类包括分级的第一、第二和第三诊断)与术后病理报告进行了比较。

结果

第一诊断的正确诊断率(敏感性)总体为75.8%。下丘脑 - 垂体和轴外肿瘤中第一诊断的敏感性较高(84 - 94%),轴内肿瘤中为67 - 75%,脑室和松果体区肿瘤中相对较低(29 - 42%)。在主要的三种轴内肿瘤中,脑转移瘤的敏感性最高:83.8%,其次是恶性淋巴瘤:81.4%和成胶质细胞瘤:73.1%。其他胶质瘤的敏感性一般较低(≤60%)。当纳入第二和第三诊断时,这些敏感性总体有所提高;总计86.3%。阳性预测值(PPV)总体为76.9%。即使应用更广泛的脑肿瘤分类,在3.4%(36/1061)的病例中所有三个术前诊断均不正确。

结论

我们机构关于脑肿瘤术前诊断准确性的经验显示敏感性和PPV约为75%。纳入第二和第三诊断时敏感性提高了10%。神经外科医生应了解脑肿瘤术前鉴别诊断准确性的这些特点,以制定更好的手术策略并充分告知患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948e/7193216/28e963b8f44c/SNI-11-55-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948e/7193216/40f724944363/SNI-11-55-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948e/7193216/3b2815541d18/SNI-11-55-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948e/7193216/f092e5742275/SNI-11-55-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948e/7193216/a722e000d8f7/SNI-11-55-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948e/7193216/05a23851c225/SNI-11-55-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948e/7193216/28e963b8f44c/SNI-11-55-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948e/7193216/40f724944363/SNI-11-55-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948e/7193216/3b2815541d18/SNI-11-55-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948e/7193216/f092e5742275/SNI-11-55-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948e/7193216/a722e000d8f7/SNI-11-55-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948e/7193216/05a23851c225/SNI-11-55-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/948e/7193216/28e963b8f44c/SNI-11-55-g006.jpg

相似文献

1
Precision of preoperative diagnosis in patients with brain tumor - A prospective study based on "top three list" of differential diagnosis for 1061 patients.脑肿瘤患者术前诊断的准确性——一项基于1061例患者鉴别诊断“前三列表”的前瞻性研究。
Surg Neurol Int. 2020 Mar 28;11:55. doi: 10.25259/SNI_5_2020. eCollection 2020.
2
Accuracy of conventional MRI for preoperative diagnosis of intracranial tumors: A retrospective cohort study of 762 cases.常规 MRI 术前诊断颅内肿瘤的准确性:762 例回顾性队列研究。
Int J Surg. 2016 Dec;36(Pt A):109-117. doi: 10.1016/j.ijsu.2016.10.023. Epub 2016 Oct 20.
3
Measurements of diagnostic examination performance using quantitative apparent diffusion coefficient and proton MR spectroscopic imaging in the preoperative evaluation of tumor grade in cerebral gliomas.使用定量表观扩散系数和质子磁共振波谱成像对脑胶质瘤术前肿瘤分级进行诊断检查性能的测量。
Eur J Radiol. 2011 Nov;80(2):462-70. doi: 10.1016/j.ejrad.2010.07.017. Epub 2010 Aug 13.
4
Indium-111-pentetreotide imaging in intra-axial brain tumors: comparison with thallium-201 SPECT and MRI.铟-111-喷替肽显像在脑内轴肿瘤中的应用:与铊-201单光子发射计算机断层扫描及磁共振成像的比较
J Nucl Med. 1995 Apr;36(4):537-41.
5
Nonenhancing peritumoral hyperintense lesion on diffusion-weighted imaging in glioblastoma: a novel diagnostic and specific prognostic indicator.弥散加权成像上表现为非增强性瘤周高信号病变的胶质母细胞瘤:一种新的诊断及特异性预后指标。
J Neurosurg. 2018 Mar;128(3):667-678. doi: 10.3171/2016.10.JNS161694. Epub 2017 Mar 31.
6
Diagnostic performance of whole brain volume perfusion CT in intra-axial brain tumors: preoperative classification accuracy and histopathologic correlation.全脑容积灌注 CT 对脑内轴内肿瘤的诊断性能:术前分类准确性与组织病理学相关性。
Eur J Radiol. 2012 Dec;81(12):4105-11. doi: 10.1016/j.ejrad.2012.08.005. Epub 2012 Sep 7.
7
Regarding: Rosenthal DI, Glatstein E. "We've Got a Treatment, but What's the Disease?" The Oncologist 1996;1.关于:罗森塔尔·迪、格拉茨坦·埃。《我们有了一种治疗方法,但疾病是什么?》,《肿瘤学家》1996年;第1期。
Oncologist. 1997;2(1):59-61.
8
Sensitivity and positive predictive values of presurgical clinical diagnosis of excised benign and malignant skin tumors: a prospective study of 835 lesions in 778 patients.切除的良性和恶性皮肤肿瘤术前临床诊断的敏感性和阳性预测值:对778例患者835个病灶的前瞻性研究
Plast Reconstr Surg. 2001 Dec;108(7):1982-9. doi: 10.1097/00006534-200112000-00022.
9
Role of Diffusion and Perfusion Magnetic Resonance Imaging in Predicting the Histopathological Grade of Gliomas - A Prospective Study.扩散与灌注磁共振成像在预测胶质瘤组织病理学分级中的作用——一项前瞻性研究
Asian J Neurosurg. 2019 Jan-Mar;14(1):47-51. doi: 10.4103/ajns.AJNS_191_16.
10
Neutrophil-to-Lymphocyte Ratio: Can It Be Used as an Adjunct Tool to Predict Histopathological Grade of Brain Tumor?中性粒细胞与淋巴细胞比值:它能否作为预测脑肿瘤组织病理学分级的辅助工具?
J Neurosci Rural Pract. 2019 Oct;10(4):648-652. doi: 10.1055/s-0039-3399489. Epub 2019 Dec 11.

引用本文的文献

1
An accessible deep learning tool for voxel-wise classification of brain malignancies from perfusion MRI.一种可用于从灌注 MRI 对脑恶性肿瘤进行体素分类的易于使用的深度学习工具。
Cell Rep Med. 2024 Mar 19;5(3):101464. doi: 10.1016/j.xcrm.2024.101464. Epub 2024 Mar 11.
2
Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology.深度学习在神经肿瘤学磁共振图像分析中的应用进展。
Cancers (Basel). 2024 Jan 10;16(2):300. doi: 10.3390/cancers16020300.
3
Cerebrospinal fluid methylome-based liquid biopsies for accurate malignant brain neoplasm classification.

本文引用的文献

1
cIMPACT-NOW update 4: diffuse gliomas characterized by MYB, MYBL1, or FGFR1 alterations or BRAF mutation.cIMPACT-NOW更新4:以MYB、MYBL1或FGFR1改变或BRAF突变为特征的弥漫性胶质瘤
Acta Neuropathol. 2019 Apr;137(4):683-687. doi: 10.1007/s00401-019-01987-0. Epub 2019 Mar 8.
2
Survival benefit of lobectomy over gross-total resection without lobectomy in cases of glioblastoma in the noneloquent area: a retrospective study.非功能区胶质母细胞瘤行肺叶切除术与未行肺叶切除术的全切除相比的生存获益:一项回顾性研究
J Neurosurg. 2019 Mar 1;132(3):895-901. doi: 10.3171/2018.12.JNS182558. Print 2020 Mar 1.
3
Differentiation of primary central nervous system lymphoma from high-grade glioma and brain metastasis using arterial spin labeling and dynamic contrast-enhanced magnetic resonance imaging.
基于脑脊液甲基化组的液体活检用于准确的脑恶性肿瘤分类。
Neuro Oncol. 2023 Aug 3;25(8):1452-1460. doi: 10.1093/neuonc/noac264.
4
Preoperative Prediction Nomogram Based on Integrated Profiling for Glioblastoma Multiforme in Glioma Patients.基于综合分析的胶质瘤患者多形性胶质母细胞瘤术前预测列线图
Front Oncol. 2020 Oct 21;10:1750. doi: 10.3389/fonc.2020.01750. eCollection 2020.
利用动脉自旋标记和动态对比增强磁共振成像对原发性中枢神经系统淋巴瘤与高级别胶质瘤和脑转移瘤进行鉴别。
Eur J Radiol. 2019 Mar;112:59-64. doi: 10.1016/j.ejrad.2019.01.008. Epub 2019 Jan 8.
4
Preoperative grading of intracranial meningioma by magnetic resonance spectroscopy (1H-MRS).磁共振波谱(1H-MRS)对颅内脑膜瘤的术前分级。
PLoS One. 2018 Nov 19;13(11):e0207612. doi: 10.1371/journal.pone.0207612. eCollection 2018.
5
Texture analysis on diffusion tensor imaging: discriminating glioblastoma from single brain metastasis.扩散张量成像的纹理分析:鉴别胶质母细胞瘤与单发脑转移瘤。
Acta Radiol. 2019 Mar;60(3):356-366. doi: 10.1177/0284185118780889. Epub 2018 Jun 3.
6
Updates on Primary Central Nervous System Lymphoma.原发性中枢神经系统淋巴瘤更新。
Curr Oncol Rep. 2018 Feb 28;20(2):11. doi: 10.1007/s11912-018-0666-1.
7
Differentiation of glioblastoma multiforme, metastases and primary central nervous system lymphomas using multiparametric perfusion and diffusion MR imaging of a tumor core and a peritumoral zone-Searching for a practical approach.利用肿瘤核心区和瘤周区的多参数灌注及扩散磁共振成像鉴别多形性胶质母细胞瘤、转移瘤和原发性中枢神经系统淋巴瘤——探寻一种实用方法
PLoS One. 2018 Jan 17;13(1):e0191341. doi: 10.1371/journal.pone.0191341. eCollection 2018.
8
Neurosurgical management of brain metastases.脑转移瘤的神经外科治疗
Clin Exp Metastasis. 2017 Oct;34(6-7):377-389. doi: 10.1007/s10585-017-9860-z. Epub 2017 Sep 30.
9
Reliability of noncontrast-enhancing tumor as a biomarker of IDH1 mutation status in glioblastoma.非增强肿瘤作为胶质母细胞瘤中异柠檬酸脱氢酶1(IDH1)突变状态生物标志物的可靠性
J Clin Neurosci. 2017 May;39:170-175. doi: 10.1016/j.jocn.2017.01.007. Epub 2017 Feb 14.
10
Accuracy of conventional MRI for preoperative diagnosis of intracranial tumors: A retrospective cohort study of 762 cases.常规 MRI 术前诊断颅内肿瘤的准确性:762 例回顾性队列研究。
Int J Surg. 2016 Dec;36(Pt A):109-117. doi: 10.1016/j.ijsu.2016.10.023. Epub 2016 Oct 20.