Parekh Dipen J, Lin Wei-Chiang, Herrell S Duke
Department of Urologic Surgery and Biomedical Engineering, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
J Urol. 2005 Nov;174(5):1754-8. doi: 10.1097/01.ju.0000177484.33596.c9.
Promising results of optical signals have been reported in the literature for the diagnosis of Barrett's esophagus, oral cavity lesions, brain tumor margins, cervical intraepithelial neoplasia, skin cancer and bladder cancer. The potential usefulness of these techniques in renal tissues and neoplasms has not been described to date. This initial study examined the feasibility of using fluorescence and diffuse reflectance spectroscopy to differentiate between malignant and benign renal tissues.
An ex vivo study was conducted to identify optical characteristics of various renal tissue types. Pathologically confirmed benign and malignant renal samples were obtained from nephrectomy specimens from patients undergoing radical nephrectomy. Fluorescence and diffuse reflectance spectra were measured from benign and malignant renal tissues.
All renal tissues, malignant or benign, contain 2 primary emission peaks-a strong one at approximately 285 nm excitation, approximately 340 nm emission (Peak A), and a weak one at approximately 340 nm excitation, approximately 460 nm emission (Peak B). Peak A of normal renal tissue typically locates at the shorter excitation wavelength region than that of malignant tissue. The intensity of Peak B from benign tissues tends to be greater than that from malignant renal tissues. Diffuse reflectance intensities from malignant renal tissues between 600 and 800 nm are markedly greater than those from normal renal tissue. Empirical discrimination algorithms developed based on selected fluorescence and diffuse reflectance spectral characteristics yields accurate differentiation between benign and malignant renal tissues.
Highly accurate differentiation between normal human renal tissues and renal cell cancers is feasible using combined fluorescence and diffuse reflectance spectroscopy in an ex vivo setting. If successful in future clinical studies, optical spectroscopy could aid in margin detection and tissue discrimination while performing nephron sparing surgery.
文献报道了光信号在巴雷特食管、口腔病变、脑肿瘤边缘、宫颈上皮内瘤变、皮肤癌和膀胱癌诊断方面取得了有前景的结果。迄今为止,这些技术在肾组织和肿瘤中的潜在用途尚未见描述。这项初步研究探讨了使用荧光和漫反射光谱区分恶性和良性肾组织的可行性。
进行了一项离体研究以确定各种肾组织类型的光学特征。从接受根治性肾切除术患者的肾切除标本中获取经病理证实的良性和恶性肾样本。测量良性和恶性肾组织的荧光和漫反射光谱。
所有肾组织,无论恶性还是良性,都包含2个主要发射峰——一个在约285nm激发、约340nm发射处有一个强峰(峰A),另一个在约340nm激发、约460nm发射处有一个弱峰(峰B)。正常肾组织峰A通常比恶性组织位于更短的激发波长区域。良性组织峰B的强度往往大于恶性肾组织。恶性肾组织在600至800nm之间的漫反射强度明显大于正常肾组织。基于选定的荧光和漫反射光谱特征开发的经验判别算法可准确区分良性和恶性肾组织。
在离体环境中,使用荧光和漫反射光谱相结合的方法,在正常人体肾组织和肾细胞癌之间进行高度准确的区分是可行的。如果在未来的临床研究中取得成功,光谱学可在进行保留肾单位手术时辅助切缘检测和组织鉴别。