Kifle Naomi, Teti Saige, Ning Bo, Donoho Daniel A, Katz Itai, Keating Robert, Cha Richard Jaepyeong
Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC 20010, USA.
Department of Neurosurgery, Children's National Hospital, Washington, DC 20010, USA.
Bioengineering (Basel). 2023 Oct 13;10(10):1190. doi: 10.3390/bioengineering10101190.
Pediatric brain tumors are the second most common type of cancer, accounting for one in four childhood cancer types. Brain tumor resection surgery remains the most common treatment option for brain cancer. While assessing tumor margins intraoperatively, surgeons must send tissue samples for biopsy, which can be time-consuming and not always accurate or helpful. Snapshot hyperspectral imaging (sHSI) cameras can capture scenes beyond the human visual spectrum and provide real-time guidance where we aim to segment healthy brain tissues from lesions on pediatric patients undergoing brain tumor resection. With the institutional research board approval, Pro00011028, 139 red-green-blue (RGB), 279 visible, and 85 infrared sHSI data were collected from four subjects with the system integrated into an operating microscope. A random forest classifier was used for data analysis. The RGB, infrared sHSI, and visible sHSI models achieved average intersection of unions (IoUs) of 0.76, 0.59, and 0.57, respectively, while the tumor segmentation achieved a specificity of 0.996, followed by the infrared HSI and visible HSI models at 0.93 and 0.91, respectively. Despite the small dataset considering pediatric cases, our research leveraged sHSI technology and successfully segmented healthy brain tissues from lesions with a high specificity during pediatric brain tumor resection procedures.
小儿脑肿瘤是第二常见的癌症类型，占儿童癌症类型的四分之一。脑肿瘤切除手术仍然是脑癌最常见的治疗选择。在术中评估肿瘤边界时，外科医生必须送检组织样本进行活检，这可能很耗时，而且并不总是准确或有帮助。快照高光谱成像（sHSI）相机可以捕捉超出人类视觉光谱范围的场景，并在我们旨在从接受脑肿瘤切除的儿科患者的病变中分割健康脑组织时提供实时指导。经机构研究委员会批准（Pro00011028），使用集成到手术显微镜中的系统从四名受试者收集了139个红绿蓝（RGB）、279个可见光和85个红外sHSI数据。使用随机森林分类器进行数据分析。RGB、红外sHSI和可见光sHSI模型的平均交并比（IoU）分别为0.76、0.59和0.57，而肿瘤分割的特异性为0.996，其次是红外HSI和可见光HSI模型，分别为0.93和0.91。尽管考虑到儿科病例的数据集较小，但我们的研究利用了sHSI技术，并在小儿脑肿瘤切除手术过程中成功地以高特异性从病变中分割出健康脑组织。
