Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Sci Transl Med. 2010 Jan 27;2(16):16ra8. doi: 10.1126/scitranslmed.3000513.
As current radiological approaches cannot accurately localize prostate cancer in vivo, biopsies are conducted at random within prostates for patients at risk for prostate cancer, leading to high false-negative rates. Metabolomic imaging can map cancer-specific biomolecular profile values onto anatomical structures to direct biopsy. In this preliminary study, we evaluated five whole prostates removed during prostatectomy from biopsy-proven cancer patients on a 7-tesla human whole-body magnetic resonance scanner. Localized, multi-cross-sectional, multivoxel magnetic resonance spectra were used to construct a malignancy index based on prostate cancer metabolomic profiles obtained from previous intact tissue analyses with a 14-tesla spectrometer. This calculated malignancy index is linearly correlated with lesion size and demonstrates a 93 to 97% overall accuracy for detecting the presence of prostate cancer lesions, suggesting the potential clinical utility of this approach.
由于目前的放射学方法无法在体内准确定位前列腺癌,因此对于有前列腺癌风险的患者,活检是在前列腺内随机进行的,导致假阴性率很高。代谢组学成像可以将癌症特异性生物分子谱值映射到解剖结构上,以指导活检。在这项初步研究中,我们在 7 特斯拉人体全身磁共振扫描仪上对来自活检证实的癌症患者的 5 个完整前列腺进行了评估。局部、多横断面、多体素磁共振光谱用于构建基于从以前用 14 特斯拉光谱仪获得的完整组织分析中获得的前列腺癌代谢组学谱的恶性指数。这个计算出的恶性指数与病变大小呈线性相关,并且对检测前列腺癌病变的存在具有 93%至 97%的总体准确性,这表明该方法具有潜在的临床应用价值。