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使用基于多个激发波长下激光诱导荧光光谱的多元统计算法进行宫颈癌前病变检测。

Cervical precancer detection using a multivariate statistical algorithm based on laser-induced fluorescence spectra at multiple excitation wavelengths.

作者信息

Ramanujam N, Mitchell M F, Mahadevan-Jansen A, Thomsen S L, Staerkel G, Malpica A, Wright T, Atkinson N, Richards-Kortum R

机构信息

University of Texas, Austin 78712, USA.

出版信息

Photochem Photobiol. 1996 Oct;64(4):720-35. doi: 10.1111/j.1751-1097.1996.tb03130.x.

Abstract

A portable fluorimeter was developed and utilized to acquire fluorescence spectra from 381 cervical sites in 95 patients at 337, 380 and 460 nm excitation immediately prior to colposcopy. A multivariate statistical algorithm was used to extract clinically useful information from tissue spectra acquired in vivo. Two full-parameter algorithms were developed using tissue fluorescence emission spectra at all three excitation wavelengths (161 excitation-emission wavelength pairs) for cervical precancer (squamous intraepithelial lesion [SIL]) detection: a screening algorithm that discriminates between SIL and non-SIL with a sensitivity of 82 +/- 1.4% and specificity of 68 +/- 0.0%, and a diagnostic algorithm that differentiates high-grade SIL from non-high-grade SIL with a sensitivity and specificity of 79 +/- 2% and 78 +/- 6%, respectively. Multivariate statistical analysis was also employed to reduce the number of fluorescence excitation-emission wavelength pairs needed to redevelop algorithms that demonstrate a minimum decrease in classification accuracy. Two reduced-parameter algorithms that employ fluorescence intensities at only 15 excitation-emission wavelength pairs were developed: the screening algorithm differentiates SIL from non-SIL with a sensitivity of 84 +/- 1.5% and specificity of 65 +/- 2% and the diagnostic algorithm discriminates high-grade SIL from non-high-grade SIL with a sensitivity and specificity of 78 +/- 0.7% and 74 +/- 2%, respectively. Both the full-parameter and reduced-parameter screening algorithms discriminate between SIL and non-SIL with a similar specificity (+/-5%) and a substantially improved sensitivity relative to Pap smear screening. A comparison of the full-parameter and reduced-parameter diagnostic algorithms to colposcopy in expert hands indicates that all three have a very similar sensitivity and specificity for differentiating high-grade SIL from non-high-grade SIL.

摘要

研发了一种便携式荧光计,用于在95名患者的381个宫颈部位进行阴道镜检查前,立即在337、380和460nm激发波长下获取荧光光谱。采用多变量统计算法从体内获取的组织光谱中提取临床有用信息。利用所有三个激发波长下的组织荧光发射光谱(161个激发-发射波长对)开发了两种全参数算法,用于宫颈癌前病变(鳞状上皮内病变[SIL])检测:一种筛查算法,区分SIL和非SIL的灵敏度为82±1.4%,特异性为68±0.0%;一种诊断算法,区分高级别SIL和非高级别SIL的灵敏度和特异性分别为79±2%和78±6%。还采用多变量统计分析来减少重新开发算法所需的荧光激发-发射波长对数量,这些算法的分类准确率下降最小。开发了两种仅使用15个激发-发射波长对的荧光强度的简化参数算法:筛查算法区分SIL和非SIL的灵敏度为84±1.5%,特异性为65±2%;诊断算法区分高级别SIL和非高级别SIL的灵敏度和特异性分别为78±0.7%和74±2%。全参数和简化参数筛查算法区分SIL和非SIL的特异性相似(±5%),相对于巴氏涂片筛查,灵敏度有显著提高。将全参数和简化参数诊断算法与专家操作的阴道镜检查进行比较表明,在区分高级别SIL和非高级别SIL方面,三者的灵敏度和特异性非常相似。

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