Skip to main content
SpringerLink
Log in

Different optical properties between human hepatocellular carcinoma tissues and non-tumorous hepatic tissues In Vitro

  • Published:
Journal of Huazhong University of Science and Technology [Medical Sciences] Aims and scope Submit manuscript

Summary

There has been an ongoing search for clinically acceptable methods for the accurate, efficient and simple diagnosis and prognosis of hepatocellular carcinoma (HCC). Optical spectroscopy is a technique with potential clinical applications to diagnose cancer diseases. The purpose of this study was to obtain the optical properties of HCC tissues and non-tumorous hepatic tissues and identify the difference between them. A total of 55 tissue samples (HCC tissue, n=38; non-tumorous hepatic tissue, n=17) were surgically resected from patients with HCC. The optical parameters were measured in 10-nm steps using single-integrating-sphere system in the wavelength range of 400 to 1800 nm. It was found that the optical properties and their differences varied with the wavelength for the HCC tissue and the non-tumorous hepatic tissue in the entire wavelength range of research. The absorption coefficient of the HCC tissue (1.48±0.99, 1.46±0.88, 0.86±0.61, 2.15±0.53, 0.54±0.10, 0.79±0.15 mm−1) was significantly lower than that of the non-tumorous hepatic tissue (2.79±1.73, 3.13±1.47, 3.06±2.79, 2.57±0.55, 0.62±0.10, 0.93±0.16 mm−1) at wavelengths of 400, 410, 450, 1450, 1660 and 1800 nm, respectively (P<0.05). The reduced scattering coefficient of HCC tissue (5.28±1.70, 4.91±1.54, 1.26±0.35 mm−1) and non-tumorous hepatic tissue (8.14±3.70, 9.27±3.08, 2.55±0.57 mm−1) was significantly different at 460, 500 and 1800 nm respectively (P<0.05). These results show different pathologic liver tissues have different optical properties. It provides a better understanding of the relationship between optical parameters and physiological characteristics in human liver tissues. And it would be very useful for developing a non-invasive, real-time, simple and efficient way for medical management of HCC in the future.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Parkin DM, Bray F, Ferlay J, et al. Estimating the world cancer burden: Globocan 2000. Int J Cancer, 2001,94(2): 153–156

    Article  PubMed  CAS  Google Scholar 

  2. Zhang SW, Li LD, Lu FZ, et al. Mortality of primary liver cancer in China from 1990 through 1992. Chin J oncology, 1999,21(4):245–249

    CAS  Google Scholar 

  3. Bruix J, Llovet JM. Prognostic prediction and treatment strategy in hepatocellular carcinoma. Hapatology, 2002,35(3):519–524

    Article  Google Scholar 

  4. Johnson PJ. The role of serum α-fetoprotein estimation in the diagnosis and management of hapatocellular carcinoma. Clin Liver Dis, 2001,5(1):145–159

    Article  PubMed  CAS  Google Scholar 

  5. Wilder-Smith P, Holtzman J, Epstein J, et al. Optical diagnostics in the oral cavity: an overview. Oral Dis, 2010,16(8):717–728

    Article  PubMed  CAS  Google Scholar 

  6. Volynskaya Z, Haka AS, Bechtel KL, et al. Diagnosing breast cancer using diffuse reflectance spectroscopy and intrinsic fluorescence spectroscopy. J Biomed Opt, 2008,13(2):024012

    Article  PubMed  Google Scholar 

  7. Shah N, Cerussi AE, Jakubowski D, et al. The role of diffuse optical spectroscopy in the clinical management of breast cancer. Dis Markers, 2003–2004;19(2–3):95–105

    PubMed  Google Scholar 

  8. van Veen RLP, Amelink A, Menke-Pluymers M, et al. Optical biopsy of breast tissue using differential path-length spectroscopy. Phys Med Biol, 2005,50(11): 2573–2581

    Article  PubMed  Google Scholar 

  9. Zhu C, Breslin TM, Harter J, et al. Model based and empirical spectral analysis for the diagnosis of breast cancer. Opt Express, 2008,16(19):14 961–14 978

    Article  CAS  Google Scholar 

  10. Bigio IJ, Bown SG, Briggs G, et al. Diagnosis of breast cancer using elastic-scattering spectroscopy: preliminary clinical results. J Biomed Opt, 2000,5(2):221–228

    Article  PubMed  CAS  Google Scholar 

  11. Chang VT, Cartwright PS, Bean SM, et al. Quantitative physiology of the precancerous cervix in vivo through optical spectroscopy. Neoplasia, 2009,11(4):325–332

    PubMed  CAS  Google Scholar 

  12. Chang SK, Marin N, Follen M, et al. Model-based analysis of clinical fluorescence spectroscopy for in vivo detection of cervical intraepithelial dysplasia. J Biomed Opt, 2006,11(2):024008

    Article  PubMed  Google Scholar 

  13. Mourant JR, Bocklage TJ, Powers TN, et al. In vivo light scattering measurements for detection of precancerous conditions of the cervix. Gynecol Oncol, 2007,105(2): 439–445

    Article  PubMed  Google Scholar 

  14. Georgakoudi I, Feld MS. The combined use of fluorescence, reflectance, and light-scattering spectroscopy for evaluating dysplasia in Barrett’s esophagus. Gastrointest Endosc Clin N Am, 2004,14(3):519–537

    Article  PubMed  Google Scholar 

  15. Katzilakis N, Stiakaki E, Papadakis A, et al. Spectral characteristics of acute lymphoblastic leukemia in childhood. Leuk Res, 2004,28(11):1159–1164

    Article  PubMed  CAS  Google Scholar 

  16. Mahlstedt K, Netz U, Schädel D, et al. An initial assessment of the optical properties of human laryngeal tissue. ORL J Otorhinolaryngol Relat Spec, 2001,63(6):372–378

    Article  PubMed  CAS  Google Scholar 

  17. Zonios G, Dimou A. Optical properties of human melanocytic nevi in vivo. Photochem Photobiol, 2009,85(1): 298–303

    Article  PubMed  CAS  Google Scholar 

  18. Zonios G, Dimou A, Bassukas I, et al. Melanin absorption spectroscopy: new method for noninvasive skin investigation and melanoma detection. J Biomed Opt, 2008, 13(1):014017

    Article  PubMed  Google Scholar 

  19. Zonios G, Dimou A, Carrara M, et al. In vivo optical properties of melanocytic skin lesions: common nevi, dysplastic nevi and malignant melanoma. Photochem Photobiol, 2010,86(1):236–240

    Article  PubMed  CAS  Google Scholar 

  20. Hsu CP, Razavi MK, So SK, et al. Liver tumor gross margin identification and ablation monitoring during liver radiofrequency treatment. J Vasc Interv Radiol, 2005, 16(11):1473–1478

    PubMed  Google Scholar 

  21. Kitai T, Nishio T, Miwa M, et al. Optical analysis of the cirrhotic liver by near-infrared time-resolved spectroscopy. Surg Today, 2004,34(5):424–428

    Article  PubMed  Google Scholar 

  22. Holmer C, Lehmann KS, Wanken J, et al. Optical properties of adenocarcinoma and squamous cell carcinoma of the gastroesophageal junction. J Biomed Opt, 2007,12(1): 014025

    Article  PubMed  Google Scholar 

  23. Webber J, Herman M, Kessel D, et al. Photodynamic treatment of neoplastic lesions of the gastrointestinal tract. Recent advances in techniques and results. Langenbecks Arch Surg, 2000,385(4):299–304

    Article  PubMed  CAS  Google Scholar 

  24. Wei HJ, Xing D, Lu JJ, et al. Determination of optical properties of normal and adenomatous human colon tissues in vitro using integrating sphere techniques. World J Gastroenterol, 2005,11(16):2413–2419

    PubMed  Google Scholar 

  25. Wei HJ, Xing D, Wu GY, et al. Differences in optical properties between healthy and pathological human colon tissues using a Ti:sapphire laser: an in vitro study using the Monte Carlo inversion technique. J Biomed Opt, 2005,10(4):44022

    Article  PubMed  Google Scholar 

  26. Wen X, Tuchin VV, Luo QM, et al. Control the scattering of Intralipid by using optical clearing agents. Phys Med Biol, 2009,54(22):6917–6930

    Article  PubMed  CAS  Google Scholar 

  27. Zhu D, Luo Q, Cen J. Effects of dehydration on the optical properties of in vitro porcine liver. Lasers Surg Med, 2003,33(4):226–231

    Article  PubMed  Google Scholar 

  28. Zhu D, Lu W, Zeng SQ, et al. Effect of light losses of sample between two integrating spheres on optical properties estimation. J Biomed Opt, 2007,12(6):064004

    Article  PubMed  Google Scholar 

  29. Nachabé R, Hendriks BHW, Desjardins AE, et al. Estimation of lipid and water concentrations in scattering media with diffuse optical spectroscopy from 900 to 1,600 nm. J Biomed Opt, 2010,15(3):037015

    Article  PubMed  Google Scholar 

  30. Maitland DJ, Walsh JT Jr, Prystowsky JB, et al. Optical properties of human gallbladder tissue and bile. Appl Opt, 1993,32(4):586–591

    Article  PubMed  CAS  Google Scholar 

  31. Meissonnier GM, Laffitte J, Loiseau N, et al. Selective impairment of drug-metabolizing enzymes in pig liver during subchronic dietary exposure to aflatoxin B1. Food Chem Toxicol, 2007,45(11):2145–2154

    Article  PubMed  CAS  Google Scholar 

  32. Fradette C, Du Souich P. Effect of hypoxia on cytochrome P450 activity and expression. Curr Drug Metab, 2004,5(3):257–271

    Article  PubMed  CAS  Google Scholar 

  33. Chen X, Cheung ST, So S, et al. Gene expression patterns in human liver cancers. Mol Biol Cell, 2002,13(6): 1929–1939

    Article  PubMed  CAS  Google Scholar 

  34. Pan C, Kumar C, Bohl S, et al. Comparative proteomic phenotyping of cell lines and primary cells to assess preservation of cell type specific functions. Mol Cell Proteomics, 2009,8(3):443–450

    Article  PubMed  CAS  Google Scholar 

  35. Roy L, Laboissière S, Abdou E, et al. Proteomic analysis of the transitional endoplasmic reticulum in hepatocellular carcinoma: An organelle perspective on cancer. Biochim Biophys Acta, 2010,1804(9):1869–1881

    PubMed  CAS  Google Scholar 

  36. Ritz JP, Roggan A, Isbert C, et al. Optical properties of native and coagulated porcine liver tissue between 400 and 2400 nm. Lasers Surg Med, 2001,29(3):205–212

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Biliary and Pancreatic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China

    Yuan Yu  (于 愿), Chaowen Xiao  (肖朝文), Kun Chen  (陈 堃), Jianwei Zheng  (郑建伟), Jun Zhang  (张 俊), Xinyang Zhao  (赵新阳) & Xinbo Xue  (薛新波)

Authors
  1. Yuan Yu  (于 愿)
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chaowen Xiao  (肖朝文)
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kun Chen  (陈 堃)
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jianwei Zheng  (郑建伟)
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jun Zhang  (张 俊)
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Xinyang Zhao  (赵新阳)
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Xinbo Xue  (薛新波)
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xinbo Xue  (薛新波).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yu, Y., Xiao, C., Chen, K. et al. Different optical properties between human hepatocellular carcinoma tissues and non-tumorous hepatic tissues In Vitro . J. Huazhong Univ. Sci. Technol. [Med. Sci.] 31, 515–519 (2011). https://doi.org/10.1007/s11596-011-0482-4

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11596-011-0482-4

Key words

Search

Navigation