Mohler J L, Partin A W, Epstein J I, Lohr W D, Coffey D S
Department of Urology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
J Urol. 1988 May;139(5):1085-90. doi: 10.1016/s0022-5347(17)42792-3.
A nuclear shape descriptor, nuclear roundness factor, predicted outcome in patients with prostatic carcinoma whereas standard pathological grading by Gleason's architectural pattern did not. The inability of others to duplicate those successes warranted a reevaluation of the technique for NRF measurement. We previously described our digitization system and measured the perimeter and area of a microscopic circle similar in size to prostatic carcinoma nuclei with a reproducibility and accuracy of greater than 95%. We have applied our improved system to nuclear contour digitization and standardized our method for NRF measurement. In order to calculate accurately the NRF for prostatic carcinoma, the histologic section must have been reviewed by a pathologist and 150 nuclei traced after random selection. NRF measurement reproducibility within and between observers exceeded 90%. This system for NRF measurement successfully predicted outcome in 13 of 15 patients with stages A2, B1, and B2 prostatic carcinoma. Our success with a carefully tested and improved system for NRF determination warrants further evaluation of NRF for assessment of prognosis of patients with prostatic carcinoma.
一种核形态描述符，即核圆度因子，能够预测前列腺癌患者的预后，而基于格里森组织结构模式的标准病理分级则不能。其他人无法重复这些成功结果，这就需要重新评估核圆度因子（NRF）的测量技术。我们之前描述了我们的数字化系统，并测量了一个大小与前列腺癌细胞核相似的微观圆形的周长和面积，其重现性和准确性超过了95%。我们已将改进后的系统应用于核轮廓数字化，并对NRF测量方法进行了标准化。为了准确计算前列腺癌的NRF，组织学切片必须由病理学家进行复查，并在随机选择后追踪150个细胞核。观察者内部和之间的NRF测量重现性超过了90%。这个用于NRF测量的系统成功地预测了15例A2、B1和B2期前列腺癌患者中13例的预后。我们使用经过精心测试和改进的NRF测定系统所取得的成功，值得进一步评估NRF在评估前列腺癌患者预后方面的作用。
