Clinical application of intraoperative ultrasound superb microvascular imaging in brain tumors resections: contributing to the achievement of total tumoral resection.

IF 2.9 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Siman Cai, Hao Xing, Yuekun Wang, Yu Wang, Wenbin Ma, Yuxin Jiang, Jianchu Li, Hongyan Wang
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Abstract

Background: To investigate whether the intraoperative superb microvascular imaging(SMI) technique helps evaluate lesion boundaries compared with conventional grayscale ultrasound in brain tumor surgery and to explore factors that may be associated with complete radiographic resection.

Methods: This study enrolled 57 consecutive brain tumor patients undergoing surgery. During the operation, B-mode and SMI ultrasound evaluated the boundaries of brain tumors. MRI before and within 48h after surgery was used as the gold standard to evaluate gross-total resection(GTR). The ultrasound findings and GTR results were analyzed to determine the imaging factors related to GTR.

Results: A total of 57 patients were enrolled in the study, including 32 males and 25 females, with an average age of 53.4 ± 14.1 years old(range 19 ~ 80). According to the assessment criteria of MRI, before and within 48 h after the operation, 37(63.9%) cases were classified as GTR, and 20(35.1%) cases were classified as GTR. In comparing tumor interface definition between B-mode and SMI mode, SMI improved HGG boundary recognition in 5 cases(P = 0.033). The results showed that the tumor size ≥ 5 cm and unclear ultrasonic boundary were independent risk factors for nGTR (OR>1, P<0.05).

Conclusions: As an innovative intraoperative doppler technique in neurosurgery, SMI can effectively demarcate the tumor's boundary and help achieve GTR as much as possible.

术中超声超微血管成像在脑肿瘤切除术中的临床应用:有助于实现肿瘤全切除。
背景:目的:与传统灰阶超声相比,研究术中超微血管成像(SMI)技术是否有助于评估脑肿瘤手术中的病灶边界,并探讨可能与影像学完全切除相关的因素:本研究共纳入57例连续接受手术的脑肿瘤患者。在手术过程中,B 型和 SMI 超声波评估了脑肿瘤的边界。手术前和手术后 48 小时内的核磁共振成像被用作评估大体全切除(GTR)的金标准。对超声检查结果和GTR结果进行分析,以确定与GTR相关的影像学因素:该研究共纳入57例患者,其中男性32例,女性25例,平均年龄(53.4±14.1)岁(19~80岁)。根据 MRI 的评估标准,手术前和手术后 48 h 内,37 例(63.9%)被归类为 GTR,20 例(35.1%)被归类为 GTR。在比较 B 型和 SMI 模式的肿瘤界面定义时,SMI 提高了 5 例 HGG 边界的识别率(P = 0.033)。结果显示,肿瘤大小≥5 cm和超声边界不清是 nGTR 的独立危险因素(OR>1,PConclusions):SMI作为神经外科创新的术中多普勒技术,可有效划分肿瘤边界,有助于尽可能实现GTR。
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来源期刊
BMC Medical Imaging
BMC Medical Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
4.60
自引率
3.70%
发文量
198
审稿时长
27 weeks
期刊介绍: BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.
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