Suppr超能文献

CT血管造影在预测颈动脉体瘤Shamblin分组中的作用。

The Role of CT Angiography to Predict the Shamblin Group in Carotid Body Tumors.

作者信息

Shahbandari Morteza, Arefinejad Mahsa Sadat, Hajiahmadi Somayeh

机构信息

School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Department of Radiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

出版信息

Indian J Otolaryngol Head Neck Surg. 2023 Sep;75(3):1767-1773. doi: 10.1007/s12070-023-03719-z. Epub 2023 Apr 7.

Abstract

Carotid body tumors (CBTs) are uncommon benign head and neck neoplasms. Surgical resection is the treatment of choice for CBTs. However, the anatomical structures adjacent to the tumor tissue may encounter serious injuries during the surgery. Shamblin grading system is a surgical intra-operative scoring system to determine the risks associated with the surgery. Therefore, we aimed to evaluate the correlation of pre-surgical imaging parameters with Shamblin grades and intra-operative complications. In this cross sectional study, we enrolled 36 patients with CBTs. Preoperative cervical CT angiography was acquired in each participant and following parameters were reported in each case: Tumor volume, tumor distance to the base of the skull (TDBS), tumor contact with the internal carotid artery (ICA), and external carotid artery (ECA) and tumor density. Finally, we assessed the relation of pre-surgical imaging parameters with Shamblin grades, and intra-operative complications. Only tumor volume was significantly correlated with Shamblin grades ( < 0.05). The tumor contact with ECA was marginally correlated with Shamblin grades ( = 0.103); however, other imaging parameters were not significantly correlating with Shamblin grades. There was a statistically significant correlation between ICA contact and tumor volume with ECA injury. In addition, the tumor density significantly correlated with cranial nerves injury. The results of STATA analysis were indicative for 69.44% accordance between radiologic typing and Shamblin grading system. We found that tumor volume correlates significantly with Shamblin grading system, and there is significant correlation between tumor ICA contact, and tumor density and intra-operative complications.

摘要

颈动脉体瘤(CBTs)是一种罕见的头颈部良性肿瘤。手术切除是CBTs的首选治疗方法。然而,肿瘤组织附近的解剖结构在手术过程中可能会受到严重损伤。Shamblin分级系统是一种手术术中评分系统,用于确定与手术相关的风险。因此,我们旨在评估术前影像学参数与Shamblin分级及术中并发症之间的相关性。在这项横断面研究中,我们纳入了36例CBTs患者。对每位参与者进行术前颈部CT血管造影,并报告每个病例的以下参数:肿瘤体积、肿瘤到颅底的距离(TDBS)、肿瘤与颈内动脉(ICA)和颈外动脉(ECA)的接触情况以及肿瘤密度。最后,我们评估了术前影像学参数与Shamblin分级及术中并发症的关系。只有肿瘤体积与Shamblin分级显著相关(<0.05)。肿瘤与ECA的接触与Shamblin分级有微弱相关性(=0.103);然而,其他影像学参数与Shamblin分级无显著相关性。ICA接触和肿瘤体积与ECA损伤之间存在统计学显著相关性。此外,肿瘤密度与脑神经损伤显著相关。STATA分析结果表明,放射学分型与Shamblin分级系统的符合率为69.44%。我们发现肿瘤体积与Shamblin分级系统显著相关,并且肿瘤与ICA的接触、肿瘤密度与术中并发症之间存在显著相关性。

相似文献

1
The Role of CT Angiography to Predict the Shamblin Group in Carotid Body Tumors.
Indian J Otolaryngol Head Neck Surg. 2023 Sep;75(3):1767-1773. doi: 10.1007/s12070-023-03719-z. Epub 2023 Apr 7.
2
Imaging criteria to predict Shamblin group in carotid body tumors - revisited.
Diagn Interv Radiol. 2021 May;27(3):354-359. doi: 10.5152/dir.2021.20028.
3
New predictors of complications in carotid body tumor resection.
J Vasc Surg. 2017 Jun;65(6):1673-1679. doi: 10.1016/j.jvs.2016.12.124.
4
Carotid body tumors: objective criteria to predict the Shamblin group on MR imaging.
AJNR Am J Neuroradiol. 2008 Aug;29(7):1349-54. doi: 10.3174/ajnr.A1092. Epub 2008 Apr 16.
6
A Systematic Review and Meta-Analysis of the Presentation and Surgical Management of Patients With Carotid Body Tumours.
Eur J Vasc Endovasc Surg. 2019 Apr;57(4):477-486. doi: 10.1016/j.ejvs.2018.10.038. Epub 2019 Mar 20.
7
Surgical Management of Carotid Body Tumor and Risk Factors of Postoperative Cranial Nerve Injury.
World J Surg. 2020 Dec;44(12):4254-4260. doi: 10.1007/s00268-020-05723-8. Epub 2020 Aug 17.
8
Surgical treatment of carotid body paragangliomas: outcomes and complications according to the shamblin classification.
Clin Exp Otorhinolaryngol. 2010 Jun;3(2):91-5. doi: 10.3342/ceo.2010.3.2.91. Epub 2010 Jun 30.
9
Surgical management of carotid body tumor - Is Shamblin classification sufficient to predict surgical outcome?
Vascular. 2017 Apr;25(2):184-189. doi: 10.1177/1708538116657504. Epub 2016 Jul 9.
10
Distinct features of malignant carotid body tumors and surgical techniques for challengeable lesions: a case series of 11 patients.
Eur Arch Otorhinolaryngol. 2020 Mar;277(3):853-861. doi: 10.1007/s00405-019-05740-x. Epub 2019 Dec 5.

本文引用的文献

1
Imaging criteria to predict Shamblin group in carotid body tumors - revisited.
Diagn Interv Radiol. 2021 May;27(3):354-359. doi: 10.5152/dir.2021.20028.
3
The carotid body and associated tumors: updated review with clinical/surgical significance.
Br J Neurosurg. 2019 Oct;33(5):500-503. doi: 10.1080/02688697.2019.1617404. Epub 2019 May 27.
4
CT Hounsfield Unit Is a Good Predictor of Growth in Meningiomas.
Neurol Med Chir (Tokyo). 2019 Feb 15;59(2):54-62. doi: 10.2176/nmc.oa.2018-0209. Epub 2019 Jan 26.
5
Inter-scanner variability in Hounsfield unit measured by CT of the brain and effect on gray-to-white matter ratio.
Am J Emerg Med. 2019 Apr;37(4):680-684. doi: 10.1016/j.ajem.2018.07.016. Epub 2018 Jul 9.
6
[The surgical treatment of carotid body tumor and prevention and treatment of complications].
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2018 May;32(9):713-716. doi: 10.13201/j.issn.1001-1781.2018.09.018.
7
New predictors of complications in carotid body tumor resection.
J Vasc Surg. 2017 Jun;65(6):1673-1679. doi: 10.1016/j.jvs.2016.12.124.
8
Carotid body tumor: a 25-year experience.
Eur Arch Otorhinolaryngol. 2016 Aug;273(8):2171-9. doi: 10.1007/s00405-015-3737-z. Epub 2015 Aug 2.
9
Important observations made managing carotid body tumors during a 25-year experience.
J Vasc Surg. 2010 Dec;52(6):1518-23. doi: 10.1016/j.jvs.2010.06.153.
10
Carotid body tumors: objective criteria to predict the Shamblin group on MR imaging.
AJNR Am J Neuroradiol. 2008 Aug;29(7):1349-54. doi: 10.3174/ajnr.A1092. Epub 2008 Apr 16.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验