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apparent_diffusion_coefficient

Apparent diffusion coefficient (ADC)

Measures the magnitude of diffusion (of water molecules) within tissue 1).

IDH wild-type glioma showed lower ADC values, which also correlated with poor survival in both IDH-mutant and IDH wild-type gliomas, irrespective of histologic grade. A subgroup with IDH-mutant gliomas with lower ADC had dismal survival similar to that of those with IDH wild-type gliomas 2).

The ADC value can potentially reveal the differences in cellularity and nuclear atypia of gliomas 3).

Several studies have analyzed a correlation between the apparent diffusion coefficient (ADC) derived from diffusion-weighted MRI and the tumor cellularity of corresponding histopathological specimens in brain tumors with inconclusive findings.

Theoretically, high cellularity in advanced gliomas may impede free water diffusion and thus lead to a decreased ADC value. In a study by Higano et al., the minimum ADC varied significantly between WHO grade III 4).

Another study also revealed a significantly higher frequency of low ADC values in high- compared with low-grade gliomas 5)).

Data confirms a previously reported inverse correlation between ADC and tumor cellularity. However, the correlation in the Eide et al article is weaker than the pooled correlation of comparable previous studies. Hence, besides cell density, other factors, such as necrosis and edema might influence ADC values in glioblastomas 6).

ADC measurements are better than rCBV values for distinguishing the grades of gliomas. The combination of minimum ADC and maximum rCBV improves the diagnostic accuracy of glioma grading 7).

Apparent diffusion coefficient (ADC) values have been shown to assist in differentiating cerebellar pilocytic astrocytomas and medulloblastomas. Previous studies have applied only ADC measurements and calculated the mean/median values.

The abnormality of the FA and ADC parameters in the obstructive hydrocephalus represents a significant implication for the diagnostics and management of hydrocephalus in patients 8).


The purpose of this part of the meta-analysis was to summarize data regarding associations between minimum apparent diffusion coefficient (ADCmin) and KI 67 in different tumors. MEDLINE library was screened for associations between ADCmin and KI 67 in different tumors up to April 2017. Overall, 23 studies with 944 patients were identified. Associations between ADC and KI 67 were analyzed by Spearman's correlation coefficient. The pooled correlation coefficient between ADCmin and KI 67 for all included tumors was ρ = -0.47. In detail, the correlation coefficients for separate tumors were as follows: cerebral lymphoma: ρ = -0.61 (95% CI = [-0.82; -0.41]); cervical cancer: ρ = -0.56 (95% CI = [-0.68;-0.43]); pituitary adenoma: ρ = -0.55 (95% CI = [-1.31; 0.22]); glioma: ρ = -0.40 (95% CI = [-0.55; -0.24]); breast cancer: ρ = -0.37 (95% CI = [-0.74; -0.01]); meningioma, ρ = -0.15 (95% CI = [-0.38; 0.07]) 9).

Apparent diffusion coefficient in meningioma

1)
Sener RN. Diffusion MRI: apparent diffusion coefficient (ADC) values in the normal brain and a classification of brain disorders based on ADC values. Comput Med Imaging Graph. 2001;25 (4): 299-326.
2)
Wu CC, Jain R, Radmanesh A, Poisson LM, Guo WY, Zagzag D, Snuderl M, Placantonakis DG, Golfinos J, Chi AS. Predicting Genotype and Survival in Glioma Using Standard Clinical MR Imaging Apparent Diffusion Coefficient Images: A Pilot Study from The Cancer Genome Atlas. AJNR Am J Neuroradiol. 2018 Sep 6. doi: 10.3174/ajnr.A5794. [Epub ahead of print] PubMed PMID: 30190259.
3)
Sadeghi N. et al. Effect of hydrophilic components of the extracellular matrix on quantifiable diffusion-weighted imaging of human gliomas: preliminary results of correlating apparent diffusion coefficient values and hyaluronan expression level. AJR Am J Roentgenol 181, 235–241, 10.2214/ajr.181.1.1810235 (2003
4)
1.06 ± 0.21) × 10−3 mm2/sec) and WHO grade IV gliomas ((0.83 ± 0.14) × 10−3 mm2/sec) ((Higano S. et al. Malignant astrocytic tumors: clinical importance of apparent diffusion coefficient in prediction of grade and prognosis. Radiology 241, 839–846, 10.1148/radiol.2413051276 (2006).
5)
Wen P. Y. & Kesari S. Malignant gliomas in adults. N Engl J Med 359, 492–507, 10.1056/NEJMra0708126 (2008
6)
Eidel O, Neumann JO, Burth S, Kieslich PJ, Jungk C, Sahm F, Kickingereder P, Kiening K, Unterberg A, Wick W, Schlemmer HP, Bendszus M, Radbruch A. Automatic Analysis of Cellularity in Glioblastoma and Correlation with ADC Using Trajectory Analysis and Automatic Nuclei Counting. PLoS One. 2016 Jul 28;11(7):e0160250. doi: 10.1371/journal.pone.0160250. eCollection 2016. PubMed PMID: 27467557.
7)
Hilario A, Ramos A, Perez-Nuñez A, Salvador E, Millan JM, Lagares A, Sepulveda JM, Gonzalez-Leon P, Hernandez-Lain A, Ricoy JR. The added value of apparent diffusion coefficient to cerebral blood volume in the preoperative grading of diffuse gliomas. AJNR Am J Neuroradiol. 2012 Apr;33(4):701-7. doi: 10.3174/ajnr.A2846. Epub 2011 Dec 29. PubMed PMID: 22207304.
8)
Shevtsov MA, Senkevich KA, Kim AV, Gerasimova KA, Trofimova TN, Kataeva GV, Medvedev SV, Smirnova OI, Savintseva ZI, Martynova MG, Bystrova OA, Pitkin E, Yukina GY, Khachatryan WA. Changes of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) in the model of experimental acute hydrocephalus in rabbits. Acta Neurochir (Wien). 2015 Jan 16. [Epub ahead of print] PubMed PMID: 25591802.
9)
Surov A, Meyer HJ, Wienke A. Associations between apparent diffusion coefficient (ADC) and KI 67 in different tumors: a meta-analysis. Part 2: ADC(min). Oncotarget. 2018 Jan 4;9(9):8675-8680. doi: 10.18632/oncotarget.24006. eCollection 2018 Feb 2. PubMed PMID: 29492226; PubMed Central PMCID: PMC5823566.
apparent_diffusion_coefficient.txt · Last modified: 2018/09/08 11:54 by administrador