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Metabolomic analysis of percutaneous fine-needle aspiration specimens of thyroid nodules: Potential application for the preoperative diagnosis of thyroid cancer
被引:0
|作者:
Inseon Ryoo
Hyuknam Kwon
Soo Chin Kim
Seung Chai Jung
Jeong A Yeom
Hwa Seon Shin
Hye Rim Cho
Tae Jin Yun
Seung Hong Choi
Chul-Ho Sohn
Sunghyouk Park
Ji-hoon Kim
机构:
[1] Korea University Guro Hospital,Department of Radiology
[2] College of Pharmacy,Department of Radiology
[3] Natural Product Research Institute,Department of Radiology and Research Institute of Radiology
[4] Seoul National University,Department of Radiology
[5] Seoul National University Healthcare system Gangnam center,Department of Radiology
[6] University of Ulsan college of Medicine,undefined
[7] Asan Medical Center,undefined
[8] Pusan National University Yangsan Hospital,undefined
[9] Departement of Radiology,undefined
[10] Gyeongsang National University Hospital,undefined
[11] Gyeongsang National University School of Medicine,undefined
[12] Seoul National University Hospital,undefined
[13] College of Medicine,undefined
[14] Center for Nanoparticle Research,undefined
[15] Institute for Basic Science (IBS),undefined
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摘要:
Thyroid nodules are a very common problem. Since malignant thyroid nodules should be treated surgically, preoperative diagnosis of thyroid cancer is very crucial. Cytopathologic analysis of percutaneous fine-needle aspiration (FNA) specimens is the current gold standard for diagnosing thyroid nodules. However, this method has led to high rates of inconclusive results. Metabolomics has emerged as a useful tool in medical fields and shown great potential in diagnosing various cancers. Here, we evaluated the potential of nuclear magnetic resonance (NMR) analysis of percutaneous FNA specimens for preoperative diagnosis of thyroid cancer. We analyzed metabolome of FNA samples of papillary thyroid carcinoma (n = 35) and benign follicular nodule (n = 69) using a proton NMR spectrometer. The metabolomic profiles showed a considerable discrimination between benign and malignant nodules. Receiver operating characteristic (ROC) curve analysis indicated that seven metabolites could serve as discriminators (area under ROC curve value, 0.64–0.85). These findings demonstrated that NMR analysis of percutaneous FNA specimens of thyroid nodules can be potentially useful in the accurate and rapid preoperative diagnosis of thyroid cancer.
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