Piotto Martial, Moussallieh François-Marie, Neuville Agnès, Bellocq Jean-Pierre, Elbayed Karim, Namer Izzie Jacques
Service de Biophysique et Médecine Nucléaire, Hôpitaux Universitaires de Strasbourg, Hôpital de Hautepierre, 1 Avenue Molière, 67098 Strasbourg, France.
J Med Case Rep. 2012 Jan 18;6:22. doi: 10.1186/1752-1947-6-22.
Providing information on cancerous tissue samples during a surgical operation can help surgeons delineate the limits of a tumoral invasion more reliably. Here, we describe the use of metabolic profiling of a colon biopsy specimen by high resolution magic angle spinning nuclear magnetic resonance spectroscopy to evaluate tumoral invasion during a simulated surgical operation.
Biopsy specimens (n = 9) originating from the excised right colon of a 66-year-old Caucasian women with an adenocarcinoma were automatically analyzed using a previously built statistical model.
Metabolic profiling results were in full agreement with those of a histopathological analysis. The time-response of the technique is sufficiently fast for it to be used effectively during a real operation (17 min/sample). Metabolic profiling has the potential to become a method to rapidly characterize cancerous biopsies in the operation theater.
在外科手术过程中提供癌组织样本信息有助于外科医生更可靠地划定肿瘤侵袭范围。在此,我们描述了通过高分辨率魔角旋转核磁共振波谱对结肠活检标本进行代谢谱分析,以在模拟手术过程中评估肿瘤侵袭情况。
使用先前建立的统计模型对来自一名66岁患有腺癌的白种女性切除的右半结肠的活检标本(n = 9)进行自动分析。
代谢谱分析结果与组织病理学分析结果完全一致。该技术的时间响应足够快,可在实际手术中有效使用(17分钟/样本)。代谢谱分析有潜力成为一种在手术室快速鉴定癌性活检样本的方法。