FLUORESCENCE DETECTION OF PAPILLARY TUMOR AT CYSTECTOMY

cysteine研究的目的是利用自体荧光 光谱学诊断正常粘膜与发育异常， 原位癌、浸润性癌和膀胱乳头状肿瘤。 主成分分析（PCA），其次是最小二乘法 回归（LR）应用于数据集。 27名患者 在400 nm激发下， 随机分为两组，分别为13例和14例。 与强加的 正常粘膜、CIS和侵袭性粘膜三种类型的局限性 癌症，尝试与PCA和LR的验证集产生60% 浸润性癌的检出率为0.8%，CIS的检出率为0.8%，正常粘膜的检出率为91.8%。 将类别改为正常与疾病，疾病 包括CIS和浸润性癌症的类别，检测到86.7%的疾病 正常粘膜为55.8%。 然而，出血，炎症， 其他因素没有考虑在内，但后来的调查显示， 出血使信号强度平均降低约25%， 严重的炎症平均减少50%左右。 占这些 影响正在进行中。 对于29例370 nm激发的患者， 校准组和验证组随机形成14个， 分别有15名患者，但这些患者也正在 重新设计，以考虑出血、炎症和 水肿

The goal of the cystectomy study is to use autofluorescence spectroscopy to diagnose normal mucosa from dysplasia, carcinoma-in-situ, invasive cancer, and papillary tumors in bladder. Principal component analysis (PCA) followed by least-squares regression (LR) was applied to the data set. For 27 patients taken with 400 nm excitation, a calibration set and a validation set were randomly formed with 13 and 14 patients respectively. With an imposed limitation of three categories of normal mucosa, CIS, and invasive cancer, an attempt with PCA and LR on the validation set produced 60% detection of invasive cancer, 0.8% of CIS, and 91.8% of normal mucosa. Changing the categories to normal vs. disease, with the disease category including CIS and invasive cancer, detected 86.7% of disease and 55.8% of normal mucosa. However, hemorrhage, inflammation, and other factors were not accounted for, yet later investigation showed hemorrhage decreased signal intensity by an average of around 25% and severe inflammation by an average of around 50%. Accounting for these effects is now ongoing. For 29 patients with 370 nm excitation, a calibration set and a validation set were randomly formed with 14 and 15 patients respectively, but these are also in the process of being redone to account for the effects of hemorrhage, inflammation, and edema.