公开(公告)号：US20130153770A1

公开(公告)日：2013-06-20

申请号：US13662011

申请日：2012-10-26

Applicant: The Ohio State University

Inventor： Charles A. Buffington ,  Daniel Emilio Rubio-Diaz ,  Luis E. Rodriguez-Saona ,  Judi L. Stella

IPC: A61B5/00

CPC classification number: A61B5/0075 ,  G01N21/3563 ,  G01N21/552 ,  G01N2021/3595 ,  G01N2201/129

Abstract: Reliable and rapid diagnostic methods for many functional syndromes (FS) such as Bladder Pain Syndrome/Interstitial Cystitis (IC) are not available. Exemplary embodiments include rapid and accurate methods for diagnosing FS in humans and other mammals using infrared microspectroscopy (IRMS). Exemplary methods utilize Soft Independent Modeling by Class Analogy (SIMCA) to create classification models. Exemplary methods utilize classification models to categorize a subject's condition (e.g., healthy/sick and or flare/remission). Using these classification models, various embodiments enable diagnosis based on spectra data from a blood sample or other biomedical specimen. Exemplary embodiments may be useful for rapid diagnosis of IC and various other conditions in humans, cats, and/or other mammals.

Abstract translation: 许多功能综合征（FS）如膀胱疼痛综合征/间质性膀胱炎（IC）的可靠和快速的诊断方法不可用。 示例性实施例包括使用红外显微光谱（IRMS）在人类和其他哺乳动物中诊断FS的快速且准确的方法。 典型的方法利用类别模拟软件独立建模（SIMCA）来创建分类模型。 示例性方法利用分类模型对受试者的状况进行分类（例如，健康/病态和/或扩张/缓解）。 使用这些分类模型，各种实施例使得能够基于来自血液样本或其他生物医学样本的光谱数据进行诊断。 示例性实施方案可用于IC的快速诊断和人类，猫和/或其他哺乳动物中的各种其它条件。