Noninvasive Surface Detection of Papillary Thyroid Carcinoma by Fourier Transform Infrared Spectroscopy

doi:10.1007/s40242-015-4354-5

Chemical Research in Chinese Universities ›› 2015, Vol. 31 ›› Issue (2): 198-202.doi: 10.1007/s40242-015-4354-5

• Articles • Previous Articles Next Articles

Noninvasive Surface Detection of Papillary Thyroid Carcinoma by Fourier Transform Infrared Spectroscopy

ZHANG Weitao¹, TIAN Peirong¹, ZHU Qing², ZHANG Yuanfu², CUI Long¹, XU Zhi¹

1. Department of General Surgery, Peking University Third Hospital, Beijing 100191, P. R. China;
2. College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China

Received:2014-09-22 Revised:2014-11-14 Online:2015-04-01 Published:2014-12-22
Contact: XU Zhi E-mail:xuzhi123456@sohu.com
Supported by:
Supported by the Natural Science Foundation of Beijing City, China(No.2122059), the Clinical Research Project of Peking University Third Hospital, China(No.B59427-01) and the Major Research Project of Peking University Third Hospital, China (No.BYSY201207).

Abstract

Abstract:

Previously Fourier transform infrared(FTIR) spectroscopy has been applied to detecting thyroid cancer during operations and to discriminating cervical metastatic ones from non-metastatic lymph nodes. This study explored the possibility of establishing a sensitive, accurate and noninvasive screen or diagnosis by preoperative FTIR spectroscopy. 111 patients undergone a thyroid operation and 50 healthy volunteers were enrolled in the study. The FTIR spectra were obtained by two mid-infrared optical fibers with an attenuated total reflectance(ATR) probe closely contacting the subjects' skin on the thyroid nodules. The FTIR spectra obtained from normal thyroid, nodular goiter(NG) and papillary thyroid carcinoma(PTC) patients were compared. A Fisher's discriminant analysis was created based on these data. There were 41 PTC patients and 70 NG patients according to their histopathological examinations. A total of 23(of 39) parameters were statistically different among the three groups(P<0.05). The F₁₃₀₀ and F₁₀₈₀parameters were significantly different between the three groups. In total, 9 out of 39 FTIR parameters were selected as independent factors by the Wilks' lambda stepwise discriminant analysis. The discrimination accuracy of papillary thyroid carcinoma in the three groups was 88.8%. Surface detection of PTC by FTIR spectroscopy is feasible. FTIR spectroscopy can be used for rapid and noninvasive PTC screen and auxiliary diagnosis.

Key words: Noninvasive detection, Papillary thyroid carcinoma, Fourier transform infrared(FTIR) spectroscopy, Fisher's discriminant analysis

ZHANG Weitao, TIAN Peirong, ZHU Qing, ZHANG Yuanfu, CUI Long, XU Zhi. Noninvasive Surface Detection of Papillary Thyroid Carcinoma by Fourier Transform Infrared Spectroscopy[J]. Chemical Research in Chinese Universities, 2015, 31(2): 198-202.

References

[1] Hegedüs L., N. Engl. J. Med., 2004, 351(17), 1764
[2] Smith J. J., Chen X., Schneider D. F., Broome J. T., Sippel R. S., Chen H., Solórzano C. C., J. Am. Coll. Surg., 2013, 216(4), 571
[3] McLeod D. S., Sawka A. M., Cooper D. S., Lancet, 2013, 381(9871), 1046
[4] Haymart M. R., Banerjee M., Yang D., Stewart A. K., Doherty G. M., Koenig R. J., Griggs J. J., Ann. Surg., 2013, 258(2), 354
[5] Wong C. K., Wheeler M. H., World. J. Surg., 2000, 24(8), 934
[6] Boelaert K., McCabe C. J., Nat. Rev. Endocrinol., 2011, 7(10), 563
[7] Byler D. M., Susi H., Biopolymers, 1986, 25(3), 469
[8] Orsini F., Ami D., Villa A., Sala G., Bellotti M., Doglia S., J. Microbiol. Methods, 2000, 42(1), 17
[9] Yamada T., Miyoshi N., Ogawa T., Akao K., Fukuda M., Ogasawara T., Kitagawa Y., Sano K., Clin. Cancer Res., 2002, 8(6), 2010
[10] Maziak D. E., Do M. T., Shamji F. M., Sundaresan S. R., Perkins D. G., Wong P. T., Cancer Detect. Prev., 2007, 31(3), 244
[11] Kendall C., Isabelle M., Bazant-Hegemark F., Hutchings J., Orr L., Babrah J., Baker R., Stone N., Analyst, 2009, 134(6), 1029
[12] Schultz C. P., Liu K. Z., Salamon E. A., Riese K. T., Mantsch H. H., J. Mol. Struct., 1999, 480, 369
[13] Khanmohammadi M., Garmarudi A. B., Ghasemi K., Jaliseh H. K., Kaviani A., Med. Oncol., 2009, 26(3), 292
[14] Fujioka N., Morimoto Y., Arai T., Kikuchi M., Cancer Detect. Prev., 2004, 28(1), 32
[15] Wu J. G., Xu Y. Z., Sun C. W., Soloway R. D., Xu D. F., Wu Q. G., Sun K. H., Weng S. F., Xu G. X., Biopolymers, 2001, 62(4), 185
[16] Liu Y. Q., Xu Y. Z., Zhang Y. F., Wang D., Xiu D. R., Xu Z., Zhou X. S., Wu J. G., Ling X. F., Br. J. Surg., 2011, 98(3), 380
[17] Zhang X. Q., Xu Y. Z., Zhang Y. F., Wang L. X., Hou C. S., Zhou X. S., Ling X. F., Xu Z., J. Surg. Res., 2011, 171(2), 650
[18] Griffiths P. R., de Haseth J. A., Fourier Transform Infrared Spectrometry, John Wiley & Sons, Hoboken, 2007, 330
[19] Miller L. M., Bourassa M. W., Smith R. J., Biochim. Biophys. Acta, 2013, 1828(10), 2339
[20] Li Q. B., Wang W., Ling X. F., Wu J. G., Biomed. Res. Int., 2013, 2013, 942427
[21] Shen W., Zhao H. M., Lei Y. T., Ling X. F., Zhu Q., Zhang Y., Zhang Y. F., Xu Y. Z., Wu J. G., Wu Y. F., Li H. J., Xu Z., Chem. J. Chinese Universities, 2012, 33(11), 2390
[22] Li Q., Xu Z., Xu Y. Z., Zhang Y. F., Zhang N. W., Wang L. X., Sun X. J., Zhang L., Wang F., Yang L. M., Zhao Y., Ren Y., Liu Z., Weng S. F., Zhou W. J., Wu J. G., Chem. J. Chinese Universities, 2004, 25(11), 2010

Noninvasive Surface Detection of Papillary Thyroid Carcinoma by Fourier Transform Infrared Spectroscopy

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 2

Recommended Articles

Metrics

Comments

[1]	WU Min, CUI Long, LING Xiaofeng, XU Zhi . Detection of Cholangiocarcinoma with Fourier Transform Infrared Spectroscopy and Radial Basis Function Neural Network Classification [J]. Chemical Research in Chinese Universities, 2016, 32(4): 561-564.
[2]	LIU Ling, GE Yu, YUAN Qin-sheng. Effect of Excipients on Stability and Structure of rhCuZn-SOD Encapsulated in PLGA Microspheres [J]. Chemical Research in Chinese Universities, 2004, 20(3): 323-327.