Rusinek Henry, Boykov Yuri, Kaur Manmeen, Wong Samson, Bokacheva Louisa, Sajous Jan B, Huang Ambrose J, Heller Samantha, Lee Vivian S
Department of Radiology, New York University School of Medicine, New York, NY 10016, USA.
Magn Reson Med. 2007 Jun;57(6):1159-67. doi: 10.1002/mrm.21240.
The accuracy and precision of an automated graph-cuts (GC) segmentation technique for dynamic contrast-enhanced (DCE) 3D MR renography (MRR) was analyzed using 18 simulated and 22 clinical datasets. For clinical data, the error was 7.2 +/- 6.1 cm(3) for the cortex and 6.5 +/- 4.6 cm(3) for the medulla. The precision of segmentation was 7.1 +/- 4.2 cm(3) for the cortex and 7.2 +/- 2.4 cm(3) for the medulla. Compartmental modeling of kidney function in 22 kidneys yielded a renal plasma flow (RPF) error of 7.5% +/- 4.5% and single-kidney GFR error of 13.5% +/- 8.8%. The precision was 9.7% +/- 6.4% for RPF and 14.8% +/- 11.9% for GFR. It took 21 min to segment one kidney using GC, compared to 2.5 hr for manual segmentation. The accuracy and precision in RPF and GFR appear acceptable for clinical use. With expedited image processing, DCE 3D MRR has the potential to expand our knowledge of renal function in individual kidneys and to help diagnose renal insufficiency in a safe and noninvasive manner.
使用18个模拟数据集和22个临床数据集，分析了用于动态对比增强（DCE）三维磁共振肾造影（MRR）的自动图割（GC）分割技术的准确性和精确性。对于临床数据，皮质的误差为7.2±6.1立方厘米，髓质的误差为6.5±4.6立方厘米。皮质分割的精确性为7.1±4.2立方厘米，髓质分割的精确性为7.2±2.4立方厘米。对22个肾脏的肾功能进行房室建模，得出肾血浆流量（RPF）误差为7.5%±4.5%，单肾肾小球滤过率（GFR）误差为13.5%±8.8%。RPF的精确性为9.7%±6.4%，GFR的精确性为14.8%±11.9%。使用GC分割一个肾脏需要21分钟，而手动分割需要2.5小时。RPF和GFR的准确性和精确性在临床应用中似乎是可以接受的。通过加快图像处理，DCE三维MRR有潜力扩展我们对单个肾脏肾功能的认识，并以安全、无创的方式帮助诊断肾功能不全。
