Objective Detection of Oral Carcinoma with Multispectral Fluorescence Lifetime Imaging In Vivo.
Objective Detection of Oral Carcinoma with Multispectral Fluorescence Lifetime Imaging In Vivo.
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DOI：
10.1111/php.12627
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发表时间：
2016-09
影响因子：
3.3
通讯作者：
Jo JA
中科院分区：
文献类型：
--
作者：
Malik BH;Lee J;Cheng S;Cuenca R;Jabbour JM;Cheng YS;Wright JM;Ahmed B;Maitland KC;Jo JA
口腔癌的早期成功检测和界定能够极大地影响相关的发病率和死亡率。目前口腔癌的检测方法包括对口腔进行全面的目视检查，通常随后进行组织活检。一种能引导临床医生对组织活检做出更客观和明智决策的非侵入性方法有可能提高这一过程的诊断效率。为此，我们在仓鼠颊囊口腔癌发生体内模型中研究荧光寿命成像（FLIM）用于客观检测口腔癌的潜力。我们报告称，系统选择的FLIM特征能够区分低风险（正常、良性和低级别异型增生）和高风险（高级别异型增生和癌症）口腔病变，其敏感性和特异性分别为87.26%和93.96%。我们还展示了FLIM生成组织“疾病”图谱的能力，该图谱可用于评估肿瘤形成的相对风险。结果表明，具有客观图像分析的多光谱FLIM作为一种非侵入性工具，在指导全面口腔检查方面具有潜力。
Successful early detection and demarcation of oral carcinoma can greatly impact the associated morbidity and mortality rates. Current methods for detection of oral cancer include comprehensive visual examination of the oral cavity, typically followed by tissue biopsy. A noninvasive means to guide the clinician in making a more objective and informed decision towards tissue biopsy can potentially improve the diagnostic yield of this process. To this end, we investigate the potential of fluorescence lifetime imaging (FLIM) for objective detection of oral carcinoma in the hamster cheek pouch model of oral carcinogenesis in vivo. We report that systematically selected FLIM features can differentiate between low-risk (normal, benign and low-grade dysplasia) and high-risk (high-grade dysplasia and cancer) oral lesions with sensitivity and specificity of 87.26 % and 93.96 %, respectively. We also show the ability of FLIM to generate ‘disease’ maps of the tissue which can be used to evaluate relative risk of neoplasia. The results demonstrate the potential of multispectral FLIM with objective image analysis as a noninvasive tool to guide comprehensive oral examination.
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DOI：
10.1073/pnas.0708425104
发表时间：
2007-12-04
影响因子：
11.1
作者：
Skala, Melissa C.;Riching, Kristin M.;Ramanujam, Nirmala
通讯作者：
Ramanujam, Nirmala
影响因子：
3.7
作者：
Shah, Amy T.;Beckler, Michelle Demory;Skala, Melissa C.
通讯作者：
Skala, Melissa C.
影响因子：
3.6
作者：
Sun Y;Phipps J;Elson DS;Stoy H;Tinling S;Meier J;Poirier B;Chuang FS;Farwell DG;Marcu L
通讯作者：
Marcu L
影响因子：
3.4
作者：
Park, Jesung;Jo, Javier A.;Applegate, Brian E.
通讯作者：
Applegate, Brian E.
影响因子：
3.5
作者：
Sun, Yang;Xie, Hongtao;Marcu, Laura
通讯作者：
Marcu, Laura