Kiseleva Elena, Kirillin Mikhail, Feldchtein Felix, Vitkin Alex, Sergeeva Ekaterina, Zagaynova Elena, Streltzova Olga, Shakhov Boris, Gubarkova Ekaterina, Gladkova Natalia
Nizhny Novgorod State Medical Academy, 603000, Minin Square, 10/1, Nizhny Novgorod, Russia.
Institute of Applied Physics RAS, 603950, Ulyanov Street, 46, Nizhny Novgorod, Russia ; N.I. Lobachevsky State University of Nizhny Novgorod, 603950, 23 Gagarin St., Nizhny Novgorod, Russia.
Biomed Opt Express. 2015 Mar 24;6(4):1464-76. doi: 10.1364/BOE.6.001464. eCollection 2015 Apr 1.
Quantitative image analysis and parameter extraction using a specific implementation of polarization-sensitive optical coherence tomography (OCT) provides differential diagnosis of mucosal pathologies in in-vivo human bladders. We introduce a cross-polarization (CP) OCT image metric called Integral Depolarization Factor (IDF) to enable automatic diagnosis of bladder conditions (assessment the functional state of collagen fibers). IDF-based diagnostic accuracy of identification of the severe fibrosis of normal bladder mucosa is 79%; recurrence of carcinoma on the post-operative scar is 97%; and differentiation between neoplasia and acute inflammation is 75%. The promising potential of CP OCT combined with image analysis in human urology is thus demonstrated in vivo.
使用偏振敏感光学相干断层扫描（OCT）的特定实现方式进行定量图像分析和参数提取，可对活体人类膀胱中的黏膜病变进行鉴别诊断。我们引入了一种称为积分去极化因子（IDF）的交叉偏振（CP）OCT图像指标，以实现膀胱疾病的自动诊断（评估胶原纤维的功能状态）。基于IDF对正常膀胱黏膜严重纤维化的诊断准确率为79%；术后瘢痕上癌复发的诊断准确率为97%；肿瘤与急性炎症鉴别的诊断准确率为75%。因此，CP OCT与图像分析相结合在人体泌尿外科中的潜在应用前景在活体中得到了证明。
