Suppr超能文献

一种结合虚拟仿真和亚甲蓝染色的新技术,用于定位小的周围性肺病变。

A new technique combining virtual simulation and methylene blue staining for the localization of small peripheral pulmonary lesions.

机构信息

School of Medicine, University of Queensland, QLD 4029 Queensland, Australia.

出版信息

BMC Cancer. 2014 Feb 11;14:79. doi: 10.1186/1471-2407-14-79.

Abstract

BACKGROUND

Quickly and accurately localizing small peripheral pulmonary lesions can avoid prolonged operative time and unplanned open thoracotomy. In this study, we aimed to introduce and evaluate a new technique combining virtual simulation and methylene blue staining for the localization of small peripheral pulmonary lesions.

METHODS

Seventy four (74) patients with 80 peripheral pulmonary lesions <20 mm in size on computer tomography (CT) were virtually punctured using a radiotherapy planning simulator on the day before operation. Under general anaesthesia, methylene blue dye was injected to the virtually identified point according to the surface point, angle and depth previously determined by the simulator. The wedge resection of the marked lesion was performed under video-assisted thoracoscopic surgery (VATS) and the specimens were sent for immediate pathologic examination. According to pathology results, appropriate surgical procedures were decided and undertaken.

RESULTS

The average lesion size was 10.4±3.5 mm (range: 4-17 mm) and the average distance to the pleural surface was 9.4±4.9 mm. Our preoperative localization procedure was successful in 75 of 80 (94%) lesions. Histological examination showed 28 benign lesions and 52 lung cancers. The shortest distance between the edges of the stain and lesion was 5.1±3.1 mm. Localization time was 17.4±2.3 min. All patients with malignant lesions subsequently underwent lobectomy and systematic lymph node dissection. No complications were observed in all participants.

CONCLUSIONS

The novel technique combining the preoperative virtual simulation and methylene blue staining techniques has a high success rate for localizing small peripheral pulmonary lesions, particularly for those tiny lesions which are difficult to visualise and palpate during VATS.

摘要

背景

快速准确地定位小的外周肺病变可以避免手术时间延长和计划外开胸手术。在这项研究中,我们旨在介绍和评估一种新的技术,结合虚拟模拟和亚甲蓝染色用于定位小的外周肺病变。

方法

74 例患者,共 80 个计算机断层扫描(CT)上大小<20mm 的外周肺病变,在手术前一天使用放射治疗计划模拟器进行虚拟穿刺。全身麻醉下,根据模拟器预先确定的表面点、角度和深度,将亚甲蓝染料注射到虚拟识别点。在电视辅助胸腔镜手术(VATS)下对标记的病变进行楔形切除,并立即将标本送检病理检查。根据病理结果,决定并进行适当的手术程序。

结果

病变平均大小为 10.4±3.5mm(范围:4-17mm),平均距胸膜面距离为 9.4±4.9mm。我们的术前定位程序在 80 个病变中的 75 个(94%)中获得成功。组织学检查显示 28 个良性病变和 52 个肺癌。染色边缘与病变之间的最短距离为 5.1±3.1mm。定位时间为 17.4±2.3min。所有恶性病变患者随后均行肺叶切除术和系统性淋巴结清扫术。所有参与者均未观察到并发症。

结论

术前虚拟模拟和亚甲蓝染色技术相结合的新技术对于定位小的外周肺病变具有很高的成功率,特别是对于那些在 VATS 中难以可视化和触诊的微小病变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ca/3926337/9294622f969e/1471-2407-14-79-1.jpg

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