Classifying Oral Lesions with Chip-on-tip Electrical Impedance Sensing

利用尖端芯片电阻抗传感对口腔病变进行分类

• 批准号: 10432090
• 负责人: Ryan Joseph Halter
• 金额: $ 24.5万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10432090
• 关键词: Architecture; Area; Benign; Biological Markers; Biopsy; Biopsy Specimen; Cancerous; Carcinoma; Carcinoma in Situ; Classification; Clinic; Clinical; Clinical Trials; Contralateral; Custom; Data; Decision Making; Devices; Diagnosis; Diagnostic; Dysplasia; Electrodes; Electronics; Ensure; Epithelial; Excision; Feedback; Frequencies; Hand; Histologic; Human; Hyperplasia; Image; Imaging Device; Ionizing radiation; Length; Lesion; Malignant - descriptor; Malignant Neoplasms; Malignant neoplasm of prostate; Measurement; Microscopic; Monitor; Morphology; Noise; Normal tissue morphology; Oral Characters; Oral cavity; Organ; Oropharyngeal; Pathology; Patient Care; Patients; Positioning Attribute; Procedures; Property; Research Design; Resolution; Resource-limited setting; Safety; Sampling; Series; Signal Transduction; Site; Squamous Cell; Surgical margins; Survival Rate; System; Technology; Time; Tissue Sample; Tissues; Tongue; Translating; Visual; analog; base; bioelectricity; cancer type; cohort; cost; design; diagnostic criteria; effective therapy; efficacy evaluation; electric impedance; electrical impedance tomography; electrical property; experience; extracellular; imaging probe; imaging properties; in vivo; integrated circuit; interest; machine learning classification; malignant mouth neoplasm; monitoring device; novel; optimal treatments; oral lesion; oral tissue; premalignant; pressure; pressure sensor; programs; response; soft tissue

ABSTRACT No real-time quantitative devices are clinically used to assess oral lesions during routine examination, making in-clinic diagnostic and longitudinal monitoring challenging. Instead, lesions are evaluated through visual inspection and then histopathological analysis of tissue samples extracted during biopsy. Identifying premalignant and malignant oral lesions early is critical to ensuring effective treatment is provided to patients with malignancies. Oral cancer currently has one of the lowest 5-year survival rates (50% or less) among major cancer types, largely due to the challenges in identifying premalignant and malignant lesions early. Clearly, a real-time in-clinic device able to classify oral lesions as benign, premalignant, or malignant has the potential to provide immediate impact to patient care. Significantly different electrical property signatures have been observed between benign and malignant tissues in a variety of organs, including tongue; since the bioelectrical properties are so dependent on tissue architecture and morphology, we hypothesize that sensing and imaging these properties in the context of oral lesions will enable us to accurately characterize and classify morphologically-different benign, premalignant, and malignant oral lesions. We have developed an endoscopic electrical impedance imaging (EII) device for use in intraoperative surgical margin assessment that we aim to optimize for in-clinic oral lesion assessment. We aim to take the significant step of translating our extensive experience in impedance imaging to develop an oral lesion imaging device that can be deployed safely, and in the clinic, to provide real-time feedback regarding oral lesion classification. We propose constructing a novel chip-on-tip EII probe to sense and image at near microscopic resolution oral lesions in an effort to provide clinicians with real-time, accurate classification of oral lesion pathology that can be used for diagnostic and longitudinal monitoring purposes. The probe will be evaluated on a series of in vivo human oral lesions and compared with histopathological analysis of biopsy samples. The low-cost of a device such as this makes it an ideal technology for low-resource settings and the safety and real-time capabilities of the system make it ideal for continuously following lesions.

摘要 在常规检查中，临床上没有使用实时定量设备来评估口腔损伤，使 临床诊断和纵向监测具有挑战性。取而代之的是，通过视觉来评估损伤 对活检期间提取的组织样本进行检查，然后进行组织病理学分析。识别 早期口腔癌前病变和恶性病变是确保向患者提供有效治疗的关键 患上了恶性肿瘤。口腔癌目前是主要癌症中五年存活率最低的(50%或更低)之一。 癌症类型，很大程度上是由于在早期识别癌前病变和恶性病变方面的挑战。显然，一个 能够将口腔病变分类为良性、癌前或恶性的实时临床设备具有潜在的 为患者护理提供立竿见影的效果。显著不同的电学特性特征 在包括舌头在内的各种器官的良性和恶性组织之间进行观察；因为生物电学 特性如此依赖于组织结构和形态，我们假设传感和成像 口腔损伤的这些特性将使我们能够准确地描述和分类 形态--不同的良性、癌前和恶性口腔病变。我们已经开发出一种内窥镜 电阻抗成像(EII)设备用于术中手术切缘评估，我们的目标是 优化为临床口腔损伤评估。我们的目标是迈出重要的一步，将我们广泛的 在阻抗成像方面的经验，以开发可安全部署的口腔病变成像设备，以及 临床，以提供关于口腔病变分类的实时反馈。我们提议写一部小说 尖端芯片EII探头，以近显微分辨率检测和成像口腔病变，努力提供 临床医生实时、准确地对口腔病变病理进行分类，可用于诊断和 纵向监测目的。该探针将在一系列活体人类口腔损伤和 与活检标本的组织病理学分析进行比较。这种设备的低成本使其成为一种 低资源设置的理想技术以及系统的安全和实时能力使其成为理想的 用于持续跟踪病变。