The correlation between apparent diffusion coefficient and tumor cellularity in patients: A meta-analysis

PLoS ONE

Volumn 8, Issue 11, 2013, Pages

  Chen, Lihua ^a,b   Liu, Min ^a,c   Bao, Jing ^d   Xia, Yunbao ^b   Zhang, Jiuquan ^a   Zhang, Lin ^a   Huang, Xuequan ^a   Wang, Jian ^a  

^a THIRD MILITARY MEDICAL UNIVERSITY   (China)

^b Taihu Hospital   (China)

^c Yangpu District Center for Disease Control and Prevention ^*  (China)

^d Wuxi Center for Disease Prevention and Control   (China)

Author keywords

[No Author keywords available]

Indexed keywords

APPARENT DIFFUSION COEFFICIENT; ARTICLE; BRAIN TUMOR; BREAST TUMOR; CELL COUNT; CELL DENSITY; CORRELATION COEFFICIENT; DIFFUSION COEFFICIENT; HUMAN; KIDNEY TUMOR; PROSTATE TUMOR; SENSITIVITY ANALYSIS; SYSTEMATIC REVIEW; TUMOR CELL; TUMOR CLASSIFICATION;

FEMALE; HUMANS; MALE; NEOPLASMS;

EID: 84893012580     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0079008     Document Type: Article

References (50)

1. Hamstra DA, Rehemtulla A, Ross BD (2007) Diffusion magnetic resonance imaging: a biomarker for treatment response in oncology. J Clin Oncol 25: 4104-4109. (Pubitemid 47495868)
2. Koh DM, Collins DJ (2007) Diffusion-weighted MRI in the body: applications and challenges in oncology. AJR Am J Roentgenol 188: 1622-1635.
3. Szafer A, Zhong J, Anderson AW, Gore JC (1995) Diffusion-weighted imaging in tissues: theoretical models. NMR Biomed 8: 289-296.
4. Matsumoto Y, Kuroda M, Matsuya R, Kato H, Shibuya K, et al. (2009) In vitro experimental study of the relationship between the apparent diffusion coefficient and changes in cellularity and cell morphology. Oncol Rep 22: 641-648.
5. Lyng H, Haraldseth O, Rofstad EK (2000) Measurement of cell density and necrotic fraction in human melanoma xenografts by diffusion weighted magnetic resonance imaging. Magn Reson Med 43: 828-836. (Pubitemid 30387603)
6. Fan G, Zang P, Jing F, Wu Z, Guo Q (2005) Usefulness of diffusion/perfusion-weighted MRI in rat gliomas: correlation with histopathology. Acad Radiol 12: 640-651. (Pubitemid 40603692)
7. Poptani H, Puumalainen AM, Grohn OH, Loimas S, Kainulainen R, et al. (1998) Monitoring thymidine kinase and ganciclovir-induced changes in rat malignant glioma in vivo by nuclear magnetic resonance imaging. Cancer Gene Ther 5: 101-109. (Pubitemid 128639996)
8. Padhani AR, Liu G, Koh DM, Chenevert TL, Thoeny HC, et al. (2009) Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia 11: 102-125.
9. Gibbs P, Liney GP, Pickles MD, Zelhof B, Rodrigues G, et al. (2009) Correlation of ADC and T2 measurements with cell density in prostate cancer at 3.0 Tesla. Invest Radiol 44: 572-576.
10. Chen J, Xia J, Zhou YC, Xia LM, Zhu WZ, et al. (2005) [Correlation between magnetic resonance diffusion weighted imaging and cell density in astrocytoma]. Zhonghua Zhong Liu Za Zhi 27: 309-311.
11. Kikuchi T, Kumabe T, Higano S, Watanabe M, Tominaga T (2009) Minimum apparent diffusion coefficient for the differential diagnosis of ganglioglioma. Neurol Res 31: 1102-1107.
12. Goyal A, Sharma R, Bhalla AS, Gamanagatti S, Seth A, et al. (2012) Diffusion-weighted MRI in renal cell carcinoma: a surrogate marker for predicting nuclear grade and histological subtype. Acta Radiol 53: 349-358.
13. Woodhams R, Kakita S, Hata H, Iwabuchi K, Umeoka S, et al. (2009) 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 193: 260-266.
14. Guo Y, Cai YQ, Cai ZL, Gao YG, An NY, et al. (2002) Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging. J Magn Reson Imaging 16: 172-178. (Pubitemid 34810055)
15. Zelhof B, Pickles M, Liney G, Gibbs P, Rodrigues G, et al. (2009) Correlation of diffusion-weighted magnetic resonance data with cellularity in prostate cancer. BJU Int 103: 883-888.
16. Wang XZ, Wang B, Gao ZQ, Liu JG, Liu ZQ, et al. (2009) Diffusion-weighted imaging of prostate cancer: correlation between apparent diffusion coefficient values and tumor proliferation. J Magn Reson Imaging 29: 1360-1366.
17. Doskaliyev A, Yamasaki F, Ohtaki M, Kajiwara Y, Takeshima Y, et al. (2012) Lymphomas and glioblastomas: differences in the apparent diffusion coefficient evaluated with high b-value diffusion-weighted magnetic resonance imaging at 3T. Eur J Radiol 81: 339-344.
18. Ellingson BM, Malkin MG, Rand SD, Connelly JM, Quinsey C, et al. (2010) Validation of functional diffusion maps (fDMs) as a biomarker for human glioma cellularity. J Magn Reson Imaging 31: 538-548.
19. Gauvain KM, McKinstry RC, Mukherjee P, Perry A, Neil JJ, et al. (2001) Evaluating pediatric brain tumor cellularity with diffusion-tensor imaging. AJR Am J Roentgenol 177: 449-454. (Pubitemid 32660511)
20. Gupta RK, Cloughesy TF, Sinha U, Garakian J, Lazareff J, et al. (2000) Relationships between choline magnetic resonance spectroscopy, apparent diffusion coefficient and quantitative histopathology in human glioma. J Neurooncol 50: 215-226. (Pubitemid 32192873)
21. Manenti G, Di Roma M, Mancino S, Bartolucci DA, Palmieri G, et al. (2008) Malignant renal neoplasms: correlation between ADC values and cellularity in diffusion weighted magnetic resonance imaging at 3 T. Radiol Med 113: 199-213. (Pubitemid 351666954)
22. Hayashida Y, Hirai T, Morishita S, Kitajima M, Murakami R, et al. (2006) Diffusion-weighted imaging of metastatic brain tumors: comparison with histologic type and tumor cellularity. AJNR Am J Neuroradiol 27: 1419-1425. (Pubitemid 44260120)
23. Barajas RF, Jr., Rubenstein JL, Chang JS, Hwang J, Cha S (2010) Diffusion-weighted MR imaging derived apparent diffusion coefficient is predictive of clinical outcome in primary central nervous system lymphoma. AJNR Am J Neuroradiol 31: 60-66.
24. Kyriazi S, Nye E, Stamp G, Collins DJ, Kaye SB, et al. (2010) Value of diffusion-weighted imaging for assessing site-specific response of advanced ovarian cancer to neoadjuvant chemotherapy: correlation of apparent diffusion coefficients with epithelial and stromal densities on histology. Cancer Biomark 7: 201-210.
25. Kono K, Inoue Y, Nakayama K, Shakudo M, Morino M, et al. (2001) The role of diffusion-weighted imaging in patients with brain tumors. AJNR Am J Neuroradiol 22: 1081-1088. (Pubitemid 32587420)
26. Sugahara T, Korogi Y, Kochi M, Ikushima I, Shigematu Y, et al. (1999) Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging 9: 53-60. (Pubitemid 29068231)
27. Matoba M, Tonami H, Kondou T, Yokota H, Higashi K, et al. (2007) Lung carcinoma: diffusion-weighted mr imaging-preliminary evaluation with apparent diffusion coefficient. Radiology 243: 570-577. (Pubitemid 46649714)
28. Humphries PD, Sebire NJ, Siegel MJ, Olsen OE (2007) Tumors in pediatric patients at diffusion-weighted MR imaging: apparent diffusion coefficient and tumor cellularity. Radiology 245: 848-854. (Pubitemid 350127356)
29. Ginat DT, Mangla R, Yeaney G, Johnson M, Ekholm S (2012) Diffusionweighted imaging for differentiating benign from malignant skull lesions and correlation with cell density. AJR Am J Roentgenol 198: W597-601.
30. Hatakenaka M, Soeda H, Yabuuchi H, Matsuo Y, Kamitani T, et al. (2008) Apparent diffusion coefficients of breast tumors: clinical application. Magn Reson Med Sci 7: 23-29.
31. Yamashita Y, Kumabe T, Higano S, Watanabe M, Tominaga T (2009) Minimum apparent diffusion coefficient is significantly correlated with cellularity in medulloblastomas. Neurol Res 31: 940-946.
32. Guo AC, Cummings TJ, Dash RC, Provenzale JM (2002) Lymphomas and high-grade astrocytomas: comparison of water diffusibility and histologic characteristics. Radiology 224: 177-183. (Pubitemid 34680392)
33. Plank C, Koller A, Mueller-Mang C, Bammer R, Thurnher MM (2007) Diffusion-weighted MR imaging (DWI) in the evaluation of epidural spinal lesions. Neuroradiology 49: 977-985. (Pubitemid 350159838)
34. Wang Y, Chen ZE, Yaghmai V, Nikolaidis P, McCarthy RJ, et al. (2011) Diffusion-weighted MR imaging in pancreatic endocrine tumors correlated with histopathologic characteristics. J Magn Reson Imaging 33: 1071-1079.
35. Jenkinson MD, du Plessis DG, Smith TS, Brodbelt AR, Joyce KA, et al. (2010) Cellularity and apparent diffusion coefficient in oligodendroglial tumours characterized by genotype. J Neurooncol 96: 385-392.
36. Yoshikawa MI, Ohsumi S, Sugata S, Kataoka M, Takashima S, et al. (2008) Relation between cancer cellularity and apparent diffusion coefficient values using diffusion-weighted magnetic resonance imaging in breast cancer. Radiat Med 26: 222-226. (Pubitemid 351754726)
37. Sadeghi N, D'Haene N, Decaestecker C, Levivier M, Metens T, et al. (2008) Apparent diffusion coefficient and cerebral blood volume in brain gliomas: relation to tumor cell density and tumor microvessel density based on stereotactic biopsies. AJNR Am J Neuroradiol 29: 476-482.
38. Whiting P, Rutjes AW, Reitsma JB, Bossuyt PM, Kleijnen J (2003) The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol 3: 25.
39. Whiting PF, Weswood ME, Rutjes AW, Reitsma JB, Bossuyt PN, et al. (2006) Evaluation of QUADAS, a tool for the quality assessment of diagnostic accuracy studies. BMC Med Res Methodol 6: 9.
40. Rupinski MT, Dunlap WP (1996) Approximating Pearson product-moment correlations from Kendall's tau and Spearman's rho. Educational and psychological measurement 56: 419-429.
41. Chalkidou A, Landau DB, Odell EW, Cornelius VR, O'Doherty MJ, et al. (2012) Correlation between Ki-67 immunohistochemistry and 18F-Fluorothymidine uptake in patients with cancer: A systematic review and meta-analysis. European Journal of Cancer 48: 3499-3513.
42. Wilson DB, Lipsey MW (2001) The role of method in treatment effectiveness research: evidence from meta-analysis. Psychological methods 6: 413.
43. Leeflang MM, Deeks JJ, Gatsonis C, Bossuyt PM (2008) Systematic reviews of diagnostic test accuracy. Ann Intern Med 149: 889-897.
44. Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A (2006) Meta-DiSc: A software for meta-analysis of test accuracy data. BMC Medical Research Methodology 6: 31.
45. Higgins JP, Thompson SG, Deeks JJ, Altman DG (2003) Measuring inconsistency in meta-analyses. BMJ 327: 557-560. (Pubitemid 37088507)
46. Moher D, Liberati A, Tetzlaff J, Altman DG (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med 6: e1000097.
47. Bonekamp S, Corona-Villalobos CP, Kamel IR (2012) Oncologic applications of diffusion-weighted MRI in the body. J Magn Reson Imaging 35: 257-279.
48. Chenevert TL, Stegman LD, Taylor JM, Robertson PL, Greenberg HS, et al. (2000) Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors. J Natl Cancer Inst 92: 2029-2036. (Pubitemid 32045900)
49. McAuley L, Ba'Pham, Tugwell P, Moher D (2000) Does the inclusion of grey literature influence estimates of intervention effectiveness reported in meta-analyses? Lancet 356: 1228-1231.
50. Cabada T, Caballero MC, Insausti I, Alvarez de Eulate N, Bacaicoa C, et al. (2009) [The role of diffusion-weighted imaging in the evaluation of meningiomas: radio-pathologic correlation]. Radiologia 51: 411-419.