Department of Urology, University of Ankara, Ankara, Turkey.
Urology. 2012 Jul;80(1):182-6. doi: 10.1016/j.urology.2012.03.022.
To investigate the efficacy of near infrared spectroscopy (NIRS) and an algorithm on the diagnosis of bladder outlet obstruction in men with lower urinary tract symptoms (LUTS).
Male patients with LUTS were recruited and underwent uroflowmetry and urodynamic pressure flow study (PFS) with simultaneous transcutaneous NIRS monitoring. Next, the postvoid residual urine volume was measured using ultrasonography. Data analysis first classified each subject as obstructed or unobstructed using the standard pressure flow data and nomogram and compared these results with the NIRS algorithm, which analyzed the pattern of change of the NIRS data plus the measurements of the postvoid residual urine volume and peak flow rate on uroflowmetry.
A total of 65 patients were enrolled in the present study. Of these patients, 10 with equivocal PFS findings and 2 with concurrent urinary tract infection were excluded. Of the 53 patients, 29 and 24 were classified as obstructed and unobstructed according to the PFS outcomes, respectively. The International Prostate Symptom Score and uroflowmetry peak flow rate demonstrated significant differences between the obstructed and unobstructed patients. The NIRS algorithm correctly identified 25 patients diagnosed as obstructed (86.2%) and 21 diagnosed as unobstructed (87.5%) according to the PFS findings.
The NIRS algorithm could be a noninvasive option for the diagnosis of bladder outlet obstruction in men with LUTS, with 86.2% and 87.5% sensitivity and specificity, respectively.
研究近红外光谱（NIRS）和算法在诊断有下尿路症状（LUTS）的男性膀胱出口梗阻中的疗效。
招募有 LUTS 的男性患者，并进行尿流率和尿动力学压力-流率研究（PFS），同时进行经皮 NIRS 监测。然后，使用超声测量残余尿量。数据分析首先使用标准压力-流率数据和列线图将每个患者分类为梗阻或非梗阻，并将这些结果与 NIRS 算法进行比较，该算法分析了 NIRS 数据的变化模式以及残余尿量和尿流率的最大流量测量值。
本研究共纳入 65 例患者。其中，10 例 PFS 结果不确定，2 例合并尿路感染，被排除在外。在 53 例患者中，根据 PFS 结果，29 例和 24 例分别被分类为梗阻和非梗阻。国际前列腺症状评分和尿流率最大流量在梗阻和非梗阻患者之间存在显著差异。根据 PFS 结果，NIRS 算法正确识别出 25 例诊断为梗阻（86.2%）和 21 例诊断为非梗阻（87.5%）的患者。
NIRS 算法可能是一种用于诊断有 LUTS 的男性膀胱出口梗阻的非侵入性选择，其敏感性和特异性分别为 86.2%和 87.5%。
