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用于肿瘤手术规划的螺旋计算机断层扫描动脉门静脉造影及三维容积再现:一项回顾性分析。

Spiral computed tomography arterial portography with three-dimensional volumetric rendering for oncologic surgery planning. A retrospective analysis.

作者信息

Woodhouse C E, Ney D R, Sitzmann J V, Fishman E K

机构信息

Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.

出版信息

Invest Radiol. 1994 Dec;29(12):1031-7. doi: 10.1097/00004424-199412000-00004.

Abstract

RATIONALE AND OBJECTIVES

Surgical resection of metastatic neoplasms of the liver can prolong survival of patients. The decision to resect a tumor depends to a great extent on the location of lesions relative to hepatic vasculature. Spiral computed tomography arterial portography (SCTAP) is an excellent technique for preoperative localization of tumors. The addition of three-dimensional rendering of image data sets should enhance the efficiency and accuracy of the interpretation of these data by the surgeon.

METHODS

Fourteen patients with surgically and pathologically proven solitary and multiple metastatic hepatic neoplasms underwent SCTAP: Volume data sets thus derived were used to produce life-like three-dimensional animated images through a process known as volumetric rendering. These images were presented to the surgeon, who evaluated them based on several criteria.

RESULTS

Accurate and clinically useful images were produced routinely in 13 of 14 patients.

CONCLUSIONS

Clinical utility of three-dimensional rendering of SCTAP data sets for preoperative localization of hepatic lesions has been shown retrospectively. A larger, prospective study is suggested to demonstrate the accuracy and efficacy of the technique.

摘要

原理与目的

肝转移性肿瘤的手术切除可延长患者生存期。肿瘤切除的决策在很大程度上取决于病变相对于肝血管的位置。螺旋计算机断层扫描动脉门静脉造影(SCTAP)是术前肿瘤定位的一种优秀技术。图像数据集的三维重建应能提高外科医生解读这些数据的效率和准确性。

方法

14例经手术和病理证实为单发及多发肝转移性肿瘤的患者接受了SCTAP检查:由此获得的容积数据集通过一种称为容积再现的过程用于生成逼真的三维动画图像。这些图像呈现给外科医生,外科医生根据多项标准对其进行评估。

结果

14例患者中的13例常规生成了准确且具有临床实用性的图像。

结论

回顾性研究表明,SCTAP数据集的三维重建在肝病变术前定位中的临床实用性。建议进行更大规模的前瞻性研究以证明该技术的准确性和有效性。

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