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Ex vivo classification of spinal cord tumors using autofluorescence spectroscopy and immunohistochemical indexes

机译:自体荧光光谱法和免疫组织化学指标对脊髓肿瘤的离体分类

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摘要

Spinal cord tumors are complicated and infrequent, which poses a major challenge to surgeons during neurosurgery. Currently, the intraoperative identification of the tissues’ pathological properties is usually difficult for surgeons. This issue influences the decision-making in treatment planning. Traditional pathological diagnoses can facilitate judging the tissues’ properties, but the diagnosis process is complex and time-consuming. In this study, we evaluated the potential of autofluorescence spectroscopy for the fast pathological diagnosis of specific spinal cord tumors. The spectral properties of six types of spinal cord tumors were acquired ex vivo. Several peak intensity ratios were calculated for classification and then associated with the pathological immunohistochemical indexes. Our results revealed the spectral properties of three types of intramedullary tumors different from those of the other three types of extramedullary tumors. Furthermore, some peak intensity ratios revealed a high correlation with the immunohistochemical index of glial fibrillary acidic protein (GFAP). Thus, we believe that autofluorescence spectroscopy has the potential to provide real-time pathological information of spinal cord tumors and help surgeons validate tumor types and perform precise tumor resection.
机译:脊髓肿瘤是复杂且不常见的,这对神经外科手术的外科医生构成了重大挑战。当前,外科医师通常难以在手术中识别组织的病理特性。此问题影响治疗计划的决策。传统的病理诊断可以帮助判断组织的性质,但是诊断过程复杂且耗时。在这项研究中,我们评估了自体荧光光谱法对特定脊髓肿瘤的快速病理诊断的潜力。离体获得六种类型的脊髓肿瘤的光谱特性。计算几个峰强度比用于分类,然后与病理免疫组织化学指标相关。我们的结果表明三种类型的髓内肿瘤的光谱特性不同于其他三种类型的髓外肿瘤。此外,一些峰强度比显示与神经胶质纤维酸性蛋白(GFAP)的免疫组化指数高度相关。因此,我们认为自体荧光光谱法有潜力提供脊髓肿瘤的实时病理信息,并帮助外科医生验证肿瘤类型并进行精确的肿瘤切除。

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