Gregory William D, Christie Shahila Mehboob, Shell John, Nahhas Georges J, Singh Maharaj, Mikkelson Wendy
NovaScan, Inc., Milwaukee, WI.
Colleges of Engineering and Health Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI.
J Patient Cent Res Rev. 2020 Oct 23;7(4):343-348. doi: 10.17294/2330-0698.1794. eCollection 2020 Fall.
We previously reported successful classification of breast cancer versus benign tissue using the Cole relaxation frequency measured on tissue excised during breast surgery as part of a study at two urban hospitals in the U.S. Midwest. Using that health system's cancer registry, we have discovered retrospectively that outcomes for patients who participated in the initial study can be classified correctly in 3 well-differentiated categories: nonrecurrent (NR); recurrent with no metastasis (RNM); and recurrent with metastasis (RM). As Cole relaxation frequency increases, the classification moves from NR to RNM and finally to RM. Multivariate analysis showed a significant association of "time-cancer-free" for all patients in these recurrent categories, with P-values ranging between 0.0001 to 0.0047. Thus, this follow-up report shows the potential feasibility of using Cole relaxation frequency as a prognostic parameter in a larger prospective study.
我们之前报道过，作为美国中西部两家城市医院一项研究的一部分，通过对乳腺手术切除组织进行测量得到的科尔弛豫频率，成功实现了乳腺癌与良性组织的分类。利用该医疗系统的癌症登记处，我们进行了回顾性研究，发现参与初始研究的患者的预后可正确分为3个分化良好的类别：无复发（NR）；复发但无转移（RNM）；复发且有转移（RM）。随着科尔弛豫频率增加，分类从NR转变为RNM，最终变为RM。多变量分析显示，这些复发类别中所有患者的“无癌时间”存在显著关联，P值在0.0001至0.0047之间。因此本随访报告表明，在更大规模的前瞻性研究中，将科尔弛豫频率用作预后参数具有潜在可行性。
