4.6 Article

Optical imaging of tumor vascularity associated with proliferation and glucose metabolism in early breast cancer: clinical application of total hemoglobin measurements in the breast

期刊

BMC CANCER
卷 13, 期 -, 页码 -

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BIOMED CENTRAL LTD
DOI: 10.1186/1471-2407-13-514

关键词

Breast cancer; Diffuse optical imaging; Total hemoglobin; Glucose metabolism

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资金

  1. JSPS KAKENHI Grant [25830105]
  2. Hidaka Research Grant
  3. Grants-in-Aid for Scientific Research [25830105] Funding Source: KAKEN

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Background: Near-infrared optical imaging targeting the intrinsic contrast of tissue hemoglobin has emerged as a promising approach for visualization of vascularity in cancer research. We evaluated the usefulness of diffuse optical spectroscopy using time-resolved spectroscopic (TRS) measurements for functional imaging of primary breast cancer. Methods: Fifty-five consecutive TNM stageI/II patients with histologically proven invasive ductal carcinoma and operable breast tumors (<5 cm) who underwent TRS measurements were enrolled. Thirty (54.5%) patients underwent F-18-fluoro-deoxy-glucose (FDG) positron emission tomography with measurement of maximum tumor uptake. TRS was used to obtain oxyhemoglobin, deoxyhemoglobin, and total hemoglobin (tHb) levels from the lesions, surrounding normal tissue, and contralateral normal tissue. Lesions with tHb levels 20% higher than those present in normal tissue were defined as hotspots, while others were considered uniform. The findings in either tumor type were compared with clinicopathological factors. Results: Hotspot tumors were significantly larger (P = 0.002) and exhibited significantly more advanced TNM stage (P = 0.01), higher mitotic counts (P = 0.01) and higher levels of FDG uptake (P = 0.0004) compared with uniform tumors; however, other pathological variables were not significantly different between the two groups. Conclusions: Optical imaging for determination of tHb levels allowed for measurement of tumor vascularity as a function of proliferation and glucose metabolism, which may be useful for prediction of patient prognosis and potential response to treatment.

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