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通过回顾性图像融合诊断神经内分泌肿瘤:是否有益?

Diagnosis of neuroendocrine tumours by retrospective image fusion: is there a benefit?

作者信息

Amthauer H, Ruf J, Böhmig M, Lopez-Hänninen E, Rohlfing T, Wernecke K-D, Plöckinger U, Gutberlet M, Lemke A-J, Steinmüller T, Wiedenmann B, Felix R

机构信息

Klinik für Strahlenheilkunde, Campus Virchow-Klinikum, Charité-Universitätsmedizin Berlin, Berlin, Germany.

出版信息

Eur J Nucl Med Mol Imaging. 2004 Mar;31(3):342-8. doi: 10.1007/s00259-003-1379-7. Epub 2003 Dec 3.

Abstract

This study evaluated the use of image fusion in the preoperative staging of neuroendocrine tumors (NET) of the pancreas and the gastrointestinal tract (GIT). Thirty-eight patients suffering from a metastasized NET with location of the primary in the pancreas ( n=15) or the GIT ( n=23) were examined by somatostatin receptor scintigraphy (SRS) and computed tomography (CT). Consecutive image registration and fusion were performed using custom-built software integrated in AVS/Express (Advanced Visual Systems, Waltham, MA, USA). Registration was performed by a voxel-based algorithm based on normalized mutual information. Image fusion was feasible in 36/38 patients. A total of 87 foci were assigned to anatomical regions (e.g. gut, pancreas, liver, lymph node or others) by two independent observers in both SRS and SRS/CT fusion images. The assignments used a binary ranking system (1="definite", 0="not definite"). These results were then retrospectively compared to the classification of the foci, based on postoperative histology or clinical follow-up. Imaging by SRS allowed a definite anatomical assignment in 57% (50/87) and 61% (53/87) of all lesions in the case of observers A and B, respectively. Image fusion improved the topographic assignment to 91% (79/87) and to 93% (81/87). The number classified as "definite" by both observers increased from 54% (47/87) to 86% (77/87). The increase in definite assignments was highly significant for both observers ( P<0.0001 for each). In the case of foci classified as liver metastases, image fusion allowed improved assignment to the corresponding liver segment from 45% (18/40) to 98% (39/40) and from 58% (23/40) to 100% (40/40) by observers A and B, respectively. Furthermore, the improved assignment of foci classified as lesions by image fusion was relevant for therapy in 7/36 patients (19%). Therefore, the image fusion technique presented herein appears to be a very useful method for clinical routine.

摘要

本研究评估了图像融合技术在胰腺和胃肠道神经内分泌肿瘤(NET)术前分期中的应用。对38例转移性NET患者进行了检查,这些患者的原发肿瘤位于胰腺(n = 15)或胃肠道(n = 23),检查方法包括生长抑素受体闪烁显像(SRS)和计算机断层扫描(CT)。使用集成于AVS/Express(美国马萨诸塞州沃尔瑟姆市高级视觉系统公司)的定制软件进行连续图像配准和融合。配准采用基于归一化互信息的体素算法。36/38例患者的图像融合是可行的。两名独立观察者在SRS图像和SRS/CT融合图像中,共将87个病灶分配至解剖区域(如肠道、胰腺、肝脏、淋巴结或其他)。分配采用二元分级系统(1 =“明确”,0 =“不明确”)。然后,根据术后组织学或临床随访结果,将这些结果与病灶分类进行回顾性比较。在观察者A和观察者B的病例中,SRS成像分别对57%(50/87)和61%(53/87)的所有病灶进行了明确的解剖定位。图像融合将地形定位提高到91%(79/87)和93%(81/87)。两名观察者均分类为“明确”的数量从54%(47/87)增加到86%(77/87)。对于两名观察者而言,明确分类的增加均具有高度统计学意义(均P<0.0001)。在分类为肝转移的病灶中,图像融合使观察者A和观察者B分别将相应肝段的定位从45%(18/40)提高到98%(39/40),从58%(23/40)提高到100%(40/40)。此外,通过图像融合对分类为病变的病灶进行更好的定位,对7/36例患者(19%)的治疗具有重要意义。因此,本文介绍的图像融合技术似乎是临床常规中一种非常有用的方法。

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