1 Department of Radiology, University of Rochester Medical Center, 601 Elmwood Ave, Box 648, Rochester, NY 14642.
AJR Am J Roentgenol. 2014 Jun;202(6):W552-8. doi: 10.2214/AJR.13.11433.
The purpose of this study was to validate whether ex vivo multispectral photoacoustic imaging can be used to differentiate malignant tissue, benign nodules, and normal human thyroid tissue.
Fifty patients undergoing thyroidectomy because of thyroid lesions participated in this study. Multispectral photoacoustic imaging was performed on surgically excised thyroid tissue, and chromophore images that represented optical absorption of deoxyhemoglobin, oxyhemoglobin, lipid, and water were reconstructed. After the imaging procedure, the pathologist marked malignant tissue, benign nodules, and normal regions on histopathologic slides, and digital images of the marked histopathologic slides were obtained. The histopathologic images were coregistered with chromophore images. Areas corresponding to malignant tissue, benign nodules, and normal tissue were defined on the chromophore images. Pixel values within each area were averaged to determine the mean intensities of deoxyhemoglobin, oxyhemoglobin, lipid, and water.
There was a statistically significant difference between malignant and benign nodules with respect to mean intensity of deoxyhemoglobin (p = 0.014). There was a difference between malignant and normal tissue in mean intensity of deoxyhemoglobin (p = 0.003), lipid (p = 0.001), and water (p < 0.0001). A difference between benign nodules and normal tissue was found in mean intensity of oxyhemoglobin (p < 0.0001), lipid (p < 0.0001), and water (p < 0.0001). The sensitivity, specificity, and positive and negative predictive values of the system tested in differentiating malignant from nonmalignant thyroid tissue were 69.2%, 96.9%, 81.8%, and 93.9%.
The preliminary results of this ex vivo human thyroid study suggest that multispectral photoacoustic imaging can be used to differentiate malignant and benign nodules and normal human thyroid tissue.
本研究旨在验证离体多光谱光声成像是否可用于区分恶性组织、良性结节和正常人体甲状腺组织。
本研究纳入了 50 名因甲状腺病变而接受甲状腺切除术的患者。对手术切除的甲状腺组织进行多光谱光声成像,并重建代表脱氧血红蛋白、氧合血红蛋白、脂质和水的光吸收的发色团图像。成像后,病理学家在组织病理学切片上标记恶性组织、良性结节和正常区域,并获取标记的组织病理学切片的数字图像。对组织病理学图像进行配准,在发色团图像上定义对应恶性组织、良性结节和正常组织的区域。在每个区域内计算像素值的平均值,以确定脱氧血红蛋白、氧合血红蛋白、脂质和水的平均强度。
恶性与良性结节的脱氧血红蛋白平均强度存在统计学差异(p = 0.014)。恶性与正常组织的脱氧血红蛋白(p = 0.003)、脂质(p = 0.001)和水(p < 0.0001)平均强度也存在差异。良性结节与正常组织的氧合血红蛋白(p < 0.0001)、脂质(p < 0.0001)和水(p < 0.0001)平均强度也存在差异。该系统在区分恶性与非恶性甲状腺组织方面的敏感性、特异性、阳性预测值和阴性预测值分别为 69.2%、96.9%、81.8%和 93.9%。
这项离体人甲状腺研究的初步结果表明,多光谱光声成像可用于区分恶性和良性结节以及正常人体甲状腺组织。