...
首页> 外文期刊>The Journal of investigative dermatology. >Infrared spectra of basal cell carcinomas are distinct from non-tumor-bearing skin components.
【24h】

Infrared spectra of basal cell carcinomas are distinct from non-tumor-bearing skin components.

机译:基底细胞癌的红外光谱不同于不含肿瘤的皮肤成分。

获取原文
获取原文并翻译 | 示例
           

摘要

Infrared spectroscopy, by probing the molecular vibration of chemical bonds, directly indicates tissue biochemistry. An expanding body of literature suggests that infrared spectra distinguish diseased from normal tissue. The authors used infrared spectroscopy to examine basal cell carcinoma to explore distinctive characteristics of basal cell carcinoma versus normal skin samples and other skin neoplasms. Spectra of epidermis, tumor, follicle sheath, and dermis were acquired from unstained frozen sections, and analyzed qualitatively, by t-tests and by linear discriminant analyses. Dermal spectra were significantly different from the other skin components mainly due to absorptions from collagen in dermis. Spectra of normal epidermis and basal cell carcinoma were significantly different by virtue of subtle differences in protein structure and nucleic acid content. Linear discriminant analysis characterized spectra as arising from basal cell carcinoma, epidermis, or follicle sheath with 98.7% accuracy. Use of linear discriminant analysis accurately classified spectra as arising from epidermis overlying basal cell carcinoma versus epidermis overlying nontumor-bearing skin in 98.0% of cases. Spectra of basal cell carcinoma, squamous cell carcinoma, nevi, and malignant melanoma were qualitatively similar. Distinction of basal cell carcinoma, squamous cell carcinoma, and melanocytic lesions by linear discriminant analyses, however, was 93.5% accurate. Therefore, spectral separation of abnormal versus normal tissue was achieved with high sensitivity and specificity, which points to infrared spectroscopy as a potentially useful screening tool for cutaneous neoplasia.
机译:红外光谱法通过探测化学键的分子振动,直接表明组织的生物化学。越来越多的文献表明,红外光谱可将疾病与正常组织区分开。作者使用红外光谱法检查了基底细胞癌,以探索基底细胞癌与正常皮肤样本和其他皮肤肿瘤相比的独特特征。从未染色的冰冻切片中获取表皮,肿瘤,卵泡鞘和真皮的光谱,并通过t检验和线性判别分析进行定性分析。皮肤光谱与其他皮肤成分明显不同,主要是由于真皮中胶原蛋白的吸收。正常表皮和基底细胞癌的光谱由于蛋白质结构和核酸含量的细微差别而显着不同。线性判别分析将特征谱描述为源自基底细胞癌,表皮或毛囊鞘的光谱,准确度为98.7%。在98.0%的病例中,使用线性判别分析将光谱准确地分类为表皮覆盖基底细胞癌和表皮覆盖非肿瘤皮肤。基底细胞癌,鳞状细胞癌,痣和恶性黑色素瘤的光谱在质量上相似。通过线性判别分析区分基底细胞癌,鳞状细胞癌和黑素细胞病变的准确度为93.5%。因此,以高灵敏度和特异性实现了异常组织与正常组织的光谱分离,这表明红外光谱法是皮肤肿瘤形成的潜在有用的筛选工具。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号