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导航组织特征分析在皮肤癌手术中的应用。

Navigated tissue characterization during skin cancer surgery.

机构信息

School of Computing, Queen's University, Kingston, ON, Canada.

Department of Surgery, Queen's University, Kingston, ON, Canada.

出版信息

Int J Comput Assist Radiol Surg. 2020 Oct;15(10):1665-1672. doi: 10.1007/s11548-020-02200-4. Epub 2020 May 31.

Abstract

PURPOSE

Basal cell carcinoma (BCC) is the most commonly diagnosed skin cancer and is treated by surgical resection. Incomplete tumor removal requires surgical revision, leading to significant healthcare costs and impaired cosmesis. We investigated the clinical feasibility of a surgical navigation system for BCC surgery, based on molecular tissue characterization using rapid evaporative ionization mass spectrometry (REIMS).

METHODS

REIMS enables direct tissue characterization by analysis of cell-specific molecules present within surgical smoke, produced during electrocautery tissue resection. A tissue characterization model was built by acquiring REIMS spectra of BCC, healthy skin and fat from ex vivo skin cancer specimens. This model was used for tissue characterization during navigated skin cancer surgery. Navigation was enabled by optical tracking and real-time visualization of the cautery relative to a contoured resection volume. The surgical smoke was aspirated into a mass spectrometer and directly analyzed with REIMS. Classified BCC was annotated at the real-time position of the cautery. Feasibility of the navigation system, and tissue classification accuracy for ex vivo and intraoperative surgery were evaluated.

RESULTS

Fifty-four fresh excision specimens were used to build the ex vivo model of BCC, normal skin and fat, with 92% accuracy. While 3 surgeries were successfully navigated without breach of sterility, the intraoperative performance of the ex vivo model was low (< 50%). Hypotheses are: (1) the model was trained on heterogeneous mass spectra that did not originate from a single tissue type, (2) during surgery mixed tissue types were resected and thus presented to the model, and (3) the mass spectra were not validated by pathology.

CONCLUSION

REIMS-navigated skin cancer surgery has the potential to detect and localize remaining tumor intraoperatively. Future work will be focused on improving our model by using a precise pencil cautery tip for burning localized tissue types, and having pathology-validated mass spectra.

摘要

目的

基底细胞癌(BCC)是最常见的皮肤癌,通过手术切除进行治疗。肿瘤切除不完全需要手术修正,这会导致显著的医疗保健成本增加和美容效果受损。我们基于使用快速蒸发电离质谱(REIMS)对分子组织特征进行研究,调查了用于 BCC 手术的手术导航系统的临床可行性。

方法

REIMS 通过分析电烙组织切除过程中产生的手术烟雾中存在的细胞特异性分子,实现对组织的直接特征分析。通过获取离体皮肤癌标本的 BCC、健康皮肤和脂肪的 REIMS 光谱,构建组织特征模型。该模型用于导航皮肤癌手术期间的组织特征分析。通过光学跟踪和实时显示相对于轮廓切除体积的电烙位置,实现导航。将手术烟雾吸入质谱仪,直接进行 REIMS 分析。将分类的 BCC 注释在电烙的实时位置。评估导航系统的可行性以及离体和术中手术的组织分类准确性。

结果

使用 54 个新鲜切除标本构建了 BCC、正常皮肤和脂肪的离体模型,准确率为 92%。虽然有 3 例手术成功地在不破坏无菌的情况下进行导航,但离体模型的术中性能较低(<50%)。假设是:(1)模型是基于来自单一组织类型的异质质谱数据进行训练的;(2)在手术中,混合组织类型被切除并呈现给模型;(3)质谱未通过病理学验证。

结论

REIMS 导航皮肤癌手术具有在术中检测和定位残留肿瘤的潜力。未来的工作将集中于通过使用精确的铅笔电烙尖端来燃烧局部组织类型,以及使用经过病理学验证的质谱数据来改进我们的模型。

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