Department of Surgery, Charité University of Berlin, 13353 Berlin, Germany.
Art Photonics GmbH, Rudower Chaussee 46, 12489 Berlin, Germany.
Sensors (Basel). 2020 Nov 23;20(22):6706. doi: 10.3390/s20226706.
Cancers of the abdominal cavity comprise one of the most prevalent forms of cancers, with the highest contribution from colon and rectal cancers (12% of the human population), followed by stomach cancers (4%). Surgery, as the preferred choice of treatment, includes the selection of adequate resection margins to avoid local recurrences due to minimal residual disease. The presence of functionally vital structures can complicate the choice of resection margins. Spectral analysis of tissue samples in combination with chemometric models constitutes a promising approach for more efficient and precise tumour margin identification. Additionally, this technique provides a real-time tumour identification approach not only for intraoperative application but also during endoscopic diagnosis of tumours in hollow organs. The combination of near-infrared and mid-infrared spectroscopy has advantages compared to individual methods for the clinical implementation of this technique as a diagnostic tool.
腹腔癌症是最常见的癌症类型之一,其中结肠癌和直肠癌的发病率最高(占人类的 12%),其次是胃癌(4%)。手术是首选的治疗方法,包括选择足够的切除边缘,以避免因微小残留疾病导致的局部复发。功能重要结构的存在会使切除边缘的选择复杂化。组织样本的光谱分析与化学计量学模型相结合,为更有效地识别肿瘤边缘提供了一种很有前途的方法。此外,该技术不仅为术中应用,而且为中空器官肿瘤的内镜诊断提供了一种实时肿瘤识别方法。与单独的方法相比,近红外和中红外光谱组合在将该技术作为诊断工具进行临床应用方面具有优势。