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用于机器人放射性引导手术的 DROP-IN β 探针的首次人体验证:定义最佳的信号与背景分辨算法。

First-in-human validation of a DROP-IN β-probe for robotic radioguided surgery: defining optimal signal-to-background discrimination algorithm.

机构信息

National Institute of Nuclear Physics (INFN), Section of Rome, Rome, Italy.

Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.

出版信息

Eur J Nucl Med Mol Imaging. 2024 Aug;51(10):3098-3108. doi: 10.1007/s00259-024-06653-6. Epub 2024 Feb 20.

Abstract

PURPOSE

In radioguided surgery (RGS), radiopharmaceuticals are used to generate preoperative roadmaps (e.g., PET/CT) and to facilitate intraoperative tracing of tracer avid lesions. Within RGS, there is a push toward the use of receptor-targeted radiopharmaceuticals, a trend that also has to align with the surgical move toward minimal invasive robotic surgery. Building on our initial ex vivo evaluation, this study investigates the clinical translation of a DROP-IN β probe in robotic PSMA-guided prostate cancer surgery.

METHODS

A clinical-grade DROP-IN β probe was developed to support the detection of PET radioisotopes (e.g.,  Ga). The prototype was evaluated in 7 primary prostate cancer patients, having at least 1 lymph node metastases visible on PSMA-PET. Patients were scheduled for radical prostatectomy combined with extended pelvic lymph node dissection. At the beginning of surgery, patients were injected with 1.1 MBq/kg of [Ga]Ga-PSMA. The β probe was used to trace PSMA-expressing lymph nodes in vivo. To support intraoperative decision-making, a statistical software algorithm was defined and optimized on this dataset to help the surgeon discriminate between probe signals coming from tumors and healthy tissue.

RESULTS

The DROP-IN β probe helped provide the surgeon with autonomous and highly maneuverable tracer detection. A total of 66 samples (i.e., lymph node specimens) were analyzed in vivo, of which 31 (47%) were found to be malignant. After optimization of the signal cutoff algorithm, we found a probe detection rate of 78% of the PSMA-PET-positive samples, a sensitivity of 76%, and a specificity of 93%, as compared to pathologic evaluation.

CONCLUSION

This study shows the first-in-human use of a DROP-IN β probe, supporting the integration of β radio guidance and robotic surgery. The achieved competitive sensitivity and specificity help open the world of robotic RGS to a whole new range of radiopharmaceuticals.

摘要

目的

在放射性导向手术(RGS)中,放射性药物用于生成术前路线图(例如,PET/CT)并促进示踪剂摄取病变的术中追踪。在 RGS 中,有一种使用受体靶向放射性药物的趋势,这种趋势也必须与微创手术机器人手术的发展方向保持一致。基于我们最初的离体评估,本研究调查了一种 DROP-IN β 探针在机器人 PSMA 引导前列腺癌手术中的临床转化。

方法

开发了一种临床级别的 DROP-IN β 探针,以支持检测 PET 放射性同位素(例如, 68 Ga)。该原型在 7 名至少有 1 个 PSMA-PET 可见淋巴结转移的原发性前列腺癌患者中进行了评估。患者计划接受根治性前列腺切除术和扩大盆腔淋巴结清扫术。在手术开始时,患者注射 1.1 MBq/kg 的 [68 Ga]Ga-PSMA。β 探针用于体内追踪 PSMA 表达的淋巴结。为了支持术中决策,在该数据集上定义和优化了统计软件算法,以帮助外科医生区分来自肿瘤和健康组织的探针信号。

结果

DROP-IN β 探针帮助外科医生提供自主和高度机动的示踪剂检测。共分析了 66 个(即淋巴结标本)体内样本,其中 31 个(47%)被发现为恶性。在优化信号截止算法后,我们发现探针对 PSMA-PET 阳性样本的检测率为 78%,灵敏度为 76%,特异性为 93%,与病理评估相比。

结论

本研究首次展示了 DROP-IN β 探针的人体应用,支持β放射引导和机器人手术的整合。实现的竞争敏感性和特异性有助于将机器人 RGS 的世界开放给全新的放射性药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31be/11300660/663c9245d141/259_2024_6653_Fig1_HTML.jpg

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