Clinical Research Directory

Intraoperative Molecular Imaging Using ICG for Head and Neck Tumors

This study is for adult patients with head and neck cancer who are at risk of recurrence. The purpose of this study is to evaluate whether the use of Indocyanine Green (ICG) dye allows for better identification of tumor tissue during surgical procedures. Participation will include standard of care visits along with administration of ICG dye and imaging during surgery. Participation in this study will last approximately 6 weeks.

Spectral Cancer Tissue Recognition - I

This analytical performance study aims to validate the SPCTRone system for use in breast conserving surgery of breast cancer patients. By collecting spectral biomarkers and correlating these with the golden standard of histopathological assessment by a pathologist, we aim to train and optimize an AI model that is able to achieve the following outcomes with classifying tissues: * Sensitivity (percentage of classified positive margins of actual positive margins): ≥ 96% CI 95.5-97.5% * Specificity (percentage of classified free margins of actual free margins): 96% CI 95.5-97.5% * Accuracy (total correctly classified margins): ≥ 96% CI 95.5-97.5% * Negative predictive value (amount of true negative - free margins - among the classified negative margins): ≥ 95% CI 94.5-96.5%

EpCAM-Targeted Surface-Enhanced Raman Spectroscopy Nanotags for Rapid Evaluation of Surgical Margins and Sentinel Lymph Node Metastasis Status in Breast Cancers

For early breast cancer patients, breast-conserving surgery and sentinel lymph node biopsy have emerged as the cornerstone of precision oncology, harmonizing oncologic efficacy with the preservation of breast cosmetics and axillary function. However, conventional margin evaluation relies on subjective experience, leading to positive margin rates of 15%-50% Additionally, sentinel lymph node biopsy faces inherent technical limitations, including prolonged procedural time and significant false-negative rates in detecting micro-metastases. To overcome these challenges, the investigators will introduce a stable "sandwich" EpCAM-targeted surface-enhanced Raman spectroscopy (SERS) detection system to provide rapid evaluation of surgical margins and sentinel lymph node (SLN) metastasis status. In brief, a portion of resected tissue will be immediately homogenized by grinding, and the tissue homogenate will then be analyzed using this detection system to determine its histological characteristics. Pathological confirmation will further validate the method. This approach aims to improve the accuracy and efficiency of intraoperative assessment of breast-conserving surgical margins and SLN status, thereby effectively reducing local recurrence rates and complications.

Tumor-Targeted-NIR-II Fluorescent Molecular Probes for the Identification of Breast Cancer Tissue and SLN Metastatic Status

Accurate evaluation of tumor boundaries in breast-conserving surgery is closely associated with reducing the second operation of patients. Meanwhile, accurately assessing sentinel lymph node (SLN) metastasis is crucial for determining the extent of axillary lymph node dissection (ALND) and minimizing complications. Near-infrared-II (NIR-II) fluorescence imaging using molecular agents has shown promise for in situ imaging during resection. However, very effective probes can be applied to clinical trials up to now, which limits the clinical application of fluorescence imaging. Here we developed a new technology that can quickly differentiation between cancer and para-cancer tissue as well as metastatic and normal sentinel lymph nodes(SLN). In brief, the fresh tissues were incubated with the probe immediately after intraoperative resection and imaged to identify the tumor area and distinguish the metastatic status of SLN. The accuracy of fluorescence imaging was confirmed by pathological diagnosis.