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• Clinical Article •
Preliminary study on pathomechanism of non-small-cell lung carcinoma using apparent diffusion coefficient
CHEN Ai-ping  LI Hui-min  YU Hong  LIU Shi-yuan  XIAO Xiang-sheng 

DOI:10.3969/j.issn.1674-8034.2014.01.009.


[Abstract] Objective: To investigate the value of apparent diffusion coefficient (ADC) in predicting the pathomechanism of non-small-cell lung carcinoma (NSCLC).Materials and Methods: Four-six patients with NSCLC conformed by histopathology were examined with diffusion weighting imaging (DWI). ADCs were calculated on multiple b-value imaging. Correlations between the ADCs and tumor cellularity, nuclear-cytoplasmic ratio and nuclear-kytoplasm ratio were analysed by Pearson rank correlation.Results: The ADCs of NSCLC correlated negatively with tumorous cellular density on multiple b-value imaging and as b was 300 s/mm2,which can achieve the best correlation (b=300 s/mm2, r=-0.792, P<0.01). There were inverse correlations between ADCs and nuclear-cytoplasmic ratio, nuclear-kytoplasm ratio (b=300 s/mm2, r=-0.739, P<0.01, -0.607, P=0.0187, respectively).Conclusions: Preliminary results revealed the ADCs of NSCLC had close correlation with tumorous histopathology characteristic.
[Keywords] Carcinoma, non-small-cell lung；Diffusion magnetic resonance imaging

CHEN Ai-ping Department of Radiology, the First Affiliated Hospital of Nan Jing Medical University, Nanjing 210029, China

LI Hui-min Department of Radiology, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China

YU Hong Department of Radiology, Changzheng Hospital Affiliated to the Second Military Medical University, Shanghai 200003, China

LIU Shi-yuan Department of Radiology, Changzheng Hospital Affiliated to the Second Military Medical University, Shanghai 200003, China

XIAO Xiang-sheng* Department of Radiology, Changzheng Hospital Affiliated to the Second Military Medical University, Shanghai 200003, China

*Correspondence to: Xiao XS, E-mail: cjr.xiaoxiangsheng@VIP.163.com

Conflicts of interest   None.

Received  2013-10-17
Accepted  2013-12-10
DOI: 10.3969/j.issn.1674-8034.2014.01.009
DOI:10.3969/j.issn.1674-8034.2014.01.009.

[1]
Wang JP, Bai RJ, Sun HR, et al. Correlation between MR diffusion weighted imaging with malignant degree of rabbit liver VX2 tumor models. Zhonghua Yi Xue Za Zhi, 2009, 89(31): 2210-2213.
[2]
Liu Y, Bai R, Sun H, et al. Diffusion-weighted magnetic resonance imaging of uterine cervical cancer. J Comput Assist Tomogr, 2009,33(6): 858-862.
[3]
Barajas RF, Rubenstein JL, Chang JS, et al. Diffusion-weighted MR imaging derived apparent diffusion coefficient is predictive of clinical outcome in primary central nervous system lymphoma. AJNR Am J Neuroradiol, 2010, 31(1): 60-66.
[4]
Gibbs P, Liney GP, Pickles MD, et al. Correlation of ADC and T2 measurements with cell density in prostate cancer at 3.0 Tesla. Invest Radiol, 2009, 44(9): 572-576.
[5]
Woodhams R, Kakita S, Hata H, et al. Diffusion-weighted imaging of mucinous carcinoma of the breast: evaluation of apparent diffusion coefficient and signal intensity in correlation with histologic findings. AJR Am J Roentgenol, 2009, 193(1): 260-266.
[6]
Gauvain KM, McKinstry RC, Mukherjee P, et al. Evaluating pediatric brain tumor cellularity with diffusion-tensor imaging. AJR Am J Roentgenol, 2001, 177(2): 449-454.
[7]
Le Bihan D. Molecular diffusion, tissue microdynamics and microstructure. NMR Biomed, 1995, 8(7-8): 375-386.
[8]
Matsumoto Y, Kuroda M, Matsuya R, et al. In vitro experimental study of the relationship between the apparent diffusion coefficient and changes in cellularity and cell morphology. Oncol Rep, 2009, 22(3):641-648.
[9]
Jenkinson MD, du Plessis DG, Smith TS, et al. Cellularity and apparent diffusion coefficient in oligodendroglial tumours characterized by genotype. J Neurooncol, 2010, 96(3): 385-392.
[10]
Herneth AM, Guccione S, Bednarski M. Apparent diffusion coefficient: a quantitative parameter for in vivo tumor characterization. Eur J Radiol, 2003, 45(3): 208-213.
[11]
左后东，张小明，唐伟,等.磁共振扩散加权成像在胰腺癌诊断中的价值.磁共振成像, 2011, 2(5): 363-367.
[12]
Matoba M, Tonami H, Kondou T, et al. Lung carcinoma: diffusion-weighted MR imaging: preliminary evaluation with apparent diffusion coefficient. Radiology, 2007, 243(2): 570-577.
[13]
Humphries PD, Sebire NJ, Siegel MJ, et al. Tumors in pediatric patients at diffusion-weighted MR imaging: apparent diffusion coefficient and tumor cellularity. Radiology, 2007, 245(3): 848-854.
[14]
Guo Y, Cai YQ, Cai ZL, et al. Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging. J Magn Reson Imaging, 2002, 16(2): 172-178.
[15]
Issa B. In vivo measurement of the apparent diffusion coefficient in normal and malignant prostatic tissues using echo-planar imaging. J Magn Reson Imaging, 2002, 16(2): 196-200.
[16]
Lyng H, Haraldseth O, Rofstad EK. Measurement of cell density and necrotic fraction in human melanoma xenografts by diffusion-weighted magnetic resonance imaging. Magn Reson Med, 2000, 43(6): 828-836.
[17]
Moffat BA, Chenevert TL, Meyer CR, et al. The functional diffusion map: an imaging biomarker for the early prediction of cancer treatment outcome. Neoplasia, 2006, 8(4): 259-267.
[18]
Nishizawa S, Imai S, Okaneya T, et al. Diffusion weighted imaging in the detection of upper urinary tract urothelial tumors. Int Braz J Urol, 2009, 36(1): 18-28.

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