Xu Ronald X, Young Donn C, Mao Jimmy J, Povoski Stephen P
Biomedical Engineering Department, The Ohio State University, Columbus, OH 43210, USA.
Breast Cancer Res. 2007;9(6):R88. doi: 10.1186/bcr1837.
Characterizing and differentiating between malignant tumors, benign tumors, and normal breast tissue is increasingly important in the patient presenting with breast problems. Near-infrared diffuse optical imaging and spectroscopy is capable of measuring multiple physiologic parameters of biological tissue systems and may have clinical applications for assessing the development and progression of neoplastic processes, including breast cancer. The currently available application of near-infrared imaging technology for the breast, however, is compromised by low spatial resolution, tissue heterogeneity, and interpatient variation.
We tested a dynamic near-infrared imaging schema for the characterization of suspicious breast lesions identified on diagnostic clinical ultrasound. A portable handheld near-infrared tissue imaging device (P-Scan; ViOptix Inc., Fremont, CA, USA) was utilized. An external mechanical compression force was applied to breast tissue. The tissue oxygen saturation and hemoglobin concentration were recorded simultaneously by the handheld near-infrared imaging device. Twelve categories of dynamic tissue parameters were derived based on real-time measurements of the tissue hemoglobin concentration and the oxygen saturation.
Fifty suspicious breast lesions were evaluated in 48 patients. Statistical analyses were carried out on 36 out of 50 datasets that satisfied our inclusion criteria. Suspicious breast lesions identified on diagnostic clinical ultrasound had lower oxygenation and higher hemoglobin concentration than the surrounding normal breast tissue. Furthermore, histopathologic-proven malignant breast tumors had a lower differential hemoglobin contrast (that is, the difference of hemoglobin concentration variability between the suspicious breast lesion and the normal breast parenchyma located remotely elsewhere within the ipsilateral breast) as compared with histopathologic-proven benign breast lesions.
The proposed dynamic near-infrared imaging schema has the potential to differentiate benign processes from those of malignant breast tumors. Further development and refinement of the dynamic imaging device and additional subsequent clinical testing are necessary for optimizing the accuracy of detection.
对于出现乳腺问题的患者而言,鉴别恶性肿瘤、良性肿瘤及正常乳腺组织愈发重要。近红外漫射光学成像与光谱技术能够测量生物组织系统的多种生理参数,在评估包括乳腺癌在内的肿瘤性病变的发生与发展方面可能具有临床应用价值。然而,目前近红外成像技术在乳腺方面的应用受到低空间分辨率、组织异质性及患者间差异的限制。
我们测试了一种动态近红外成像方案,用于对诊断性临床超声检查中发现的可疑乳腺病变进行特征分析。使用了一种便携式手持式近红外组织成像设备(P-Scan;美国加利福尼亚州弗里蒙特市ViOptix公司)。对乳腺组织施加外部机械压缩力。手持式近红外成像设备同时记录组织氧饱和度和血红蛋白浓度。基于组织血红蛋白浓度和氧饱和度的实时测量得出十二类动态组织参数。
对48例患者的50个可疑乳腺病变进行了评估。对50个数据集中符合纳入标准的36个进行了统计分析。诊断性临床超声检查中发现的可疑乳腺病变的氧合水平低于周围正常乳腺组织,血红蛋白浓度高于周围正常乳腺组织。此外,经组织病理学证实的恶性乳腺肿瘤与经组织病理学证实的良性乳腺病变相比,血红蛋白差异对比度较低(即可疑乳腺病变与同侧乳腺其他远处正常乳腺实质之间血红蛋白浓度变异性的差异)。
所提出的动态近红外成像方案有潜力区分乳腺良性病变与恶性肿瘤。为优化检测准确性,需要对动态成像设备进行进一步研发和改进,并进行后续更多的临床测试。