Tucker Matthew, Lacayo Matthew, Joseph Suzanna, Ross Weston, Chongsathidkiet Pakawat, Fecci Peter, Codd Patrick J
Duke University, Department of Mechanical Engineering and Materials Science, Durham, NC, USA.
Duke University School of Medicine, Department of Neurosurgery, Durham, NC, USA.
Proc SPIE Int Soc Opt Eng. 2022 Jan-Feb;11945. doi: 10.1117/12.2608975. Epub 2022 Mar 4.
Because contemporary intraoperative tumor detection modalities, such as intraoperative MRI, are not ubiquitously available and can disrupt surgical workflow, there is an imperative for an accessible diagnostic device that can meet the surgeon's needs in identifying tissue types. The objective of this paper is to determine the efficacy of a novel noncontact tumor detection device for metastatic melanoma boundary identification in a tissue-mimicking phantom, evaluate the identification of metastatic melanoma boundaries in mouse brain tissue, and find the error associated with identifying this boundary. To validate the spatial and fluorescence resolution of the device, tissue-mimicking phantoms were created with modifiable optical properties. Phantom tissue provided ground truth measurements for fluorophore concentration differences with respect to spatial dimensions. Modeling metastatic disease, ex vivo melanoma brain metastases were evaluated to detect differences in fluorescence between healthy and neoplastic tissue. This analysis includes determining required-to-observe fluorescence differences in tissue. H&E staining confirmed tumor presence in mouse tissue samples. The device detected a difference in normalized average fluorescence intensity in all three phantoms. There were differences in fluorescence with the presence and absence of melanin. The estimated tumor boundary of all tissue phantoms was within 0.30 mm of the ground truth tumor boundary for all boundaries. Likewise, when applied to the melanoma-bearing brains from mice, a difference in normalized fluorescence intensity was successfully detected. The potential prediction window for the tumor boundary location is less than 1.5 mm for all mouse brain tumors boundaries. We present a non-contact, laser-induced fluorescence device that can identify tumor boundaries based on changes in laser-induced fluorescence emission intensity. The device can identify phantom ground truth tumor boundaries within 0.30 mm using instantaneous rate of change of normalized fluorescence emission intensity and can detect endogenous fluorescence differences in melanoma brain metastases in mouse tissue.
由于当代术中肿瘤检测方式,如术中磁共振成像,并非普遍可用,且会扰乱手术流程,因此迫切需要一种可及的诊断设备,以满足外科医生识别组织类型的需求。本文的目的是确定一种新型非接触式肿瘤检测设备在组织模拟体模中识别转移性黑色素瘤边界的功效,评估在小鼠脑组织中转移性黑色素瘤边界的识别情况,并找出与识别该边界相关的误差。为验证该设备的空间和荧光分辨率,制作了具有可修改光学特性的组织模拟体模。体模组织提供了关于荧光团浓度差异相对于空间维度的真实测量值。对模拟转移性疾病的离体黑色素瘤脑转移灶进行评估,以检测健康组织和肿瘤组织之间的荧光差异。该分析包括确定在组织中观察到荧光差异所需的条件。苏木精-伊红染色证实小鼠组织样本中存在肿瘤。该设备在所有三个体模中均检测到归一化平均荧光强度的差异。黑色素存在与否会导致荧光差异。所有组织体模的估计肿瘤边界与真实肿瘤边界的偏差均在0.30毫米以内。同样,当应用于携带黑色素瘤的小鼠脑时,成功检测到归一化荧光强度的差异。所有小鼠脑肿瘤边界的肿瘤边界位置潜在预测窗口均小于1.5毫米。我们展示了一种非接触式激光诱导荧光设备,该设备可基于激光诱导荧光发射强度的变化识别肿瘤边界。该设备可使用归一化荧光发射强度的瞬时变化率在0.30毫米内识别体模真实肿瘤边界,并能检测小鼠组织中黑色素瘤脑转移灶的内源性荧光差异。