Repeatability of derived parameters from histograms following non-Gaussian diffusion modelling of diffusion-weighted imaging in a paediatric oncological cohort

European Radiology

Volumn 27, Issue 1, 2017, Pages 345-353

  Jerome, Neil P ^a   Miyazaki, Keiko ^a   Collins, David J ^a   Orton, Matthew R ^a   d’Arcy, James A ^a   Wallace, Toni ^b   Moreno, Lucas ^b,c,d   Pearson, Andrew D J ^b,c   Marshall, Lynley V ^b,c   Carceller, Fernando ^b,c   Leach, Martin O ^a   Zacharoulis, Stergios ^b,c   Koh, Dow Mu ^b  

^a IMPERIAL CANCER RESEARCH FUND   (United Kingdom)

^b INSTITUTE OF CANCER RESEARCH   (United Kingdom)

^c INSTITUTE OF CANCER RESEARCH   (United Kingdom)

^d HOSPITAL INFANTIL UNIVERSITARIO NIÑO JESÚS   (Spain)

Author keywords

Diffusion magnetic resonance imaging; Functional magnetic resonance imaging; Medical oncology; Paediatrics; Reproducibility of results

Indexed keywords

ADOLESCENT; APPARENT DIFFUSION COEFFICIENT; ARTICLE; CHILD; CHILDHOOD CANCER; COHORT ANALYSIS; DIFFUSION WEIGHTED IMAGING; HISTOGRAM; HUMAN; IMAGE ANALYSIS; MEASUREMENT REPEATABILITY; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; SOLID TUMOR; DIAGNOSTIC IMAGING; FEMALE; MALE; NEOPLASM; PROCEDURES; PROSPECTIVE STUDY; REPRODUCIBILITY; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL;

ADOLESCENT; CHILD; COHORT STUDIES; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; MALE; MODELS, THEORETICAL; NEOPLASMS; PROSPECTIVE STUDIES; REPRODUCIBILITY OF RESULTS;

EID: 84961807097     PISSN: 09387994     EISSN: 14321084     Source Type: Journal    
DOI: 10.1007/s00330-016-4318-2     Document Type: Article

References (29)

1. Desar IME, ter Voert EGW, Hambrock T, van Asten JJ, van Spronsen DJ, Mulders PF et al (2001) Functional MRI techniques demonstrate early vascular changes in renal cell cancer patients treated with sunitinib: a pilot study. Cancer Imaging 11:259–265
2. Jain R, Scarpace LM, Ellika S, Torcuator R, Schultz LR, Hearshen D et al (2010) Imaging response criteria for recurrent gliomas treated with bevacizumab: role of diffusion weighted imaging as an imaging biomarker. J Neurooncol 96(3):423–431
3. Koh DM, Blackledge M, Collins DJ, Padhani AR, Wallace T, Wilton B et al (2009) Reproducibility and changes in the apparent diffusion coefficients of solid tumours treated with combretastatin A4 phosphate and bevacizumab in a two-centre phase I clinical trial. Eur Radiol 19:2728–2738
4. Pope WB, Qiao XJ, Kim HJ, Lai A, Nghiemphu P, Xue X et al (2012) Apparent diffusion coefficient histogram analysis stratifies progression-free and overall survival in patients with recurrent GBM treated with bevacizumab: a multi-center study. J Neurooncol 108:491–498
5. Ellingson BM, Sahebjam S, Kim HJ, Pope WB, Harris RJ, Woodworth DC et al (2014) Pretreatment ADC histogram analysis is a predictive imaging biomarker for bevacizumab treatment but not chemotherapy in recurrent glioblastoma. AJNR Am J Neuroradiol 35(4):673–679
6. Norris RE, Adamson PC (2012) Challenges and opportunities in childhood cancer drug development. Nat Rev Cancer 12(11):776–782
7. Vassal G, Zwaan CM, Ashley D, Le Deley MC, Hargrave D, Blanc P et al (2013) New drugs for children and adolescents with cancer: the need for novel development pathways. Lancet Oncol 14(3):e117–e124
8. Boklan J (2006) Little patients, losing patience: pediatric cancer drug development. Mol Cancer Ther 5(8):1905–1908
9. Jost SC, Ackerman JW, Garbow JR, Manwaring LP, Gutmann DH, McKinstry RC (2008) Diffusion-weighted and dynamic contrast-enhanced imaging as markers of clinical behavior in children with optic pathway glioma. Pediatr Radiol 38(12):1293–1299
10. Gutierrez DR, Manita M, Jaspan T, Dineen RA, Grundy RG, Auer DP (2013) Serial MR diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics. Neuro Oncol 15(8):981–989
11. Peet AC, Arvanitis TN, Leach MO, Waldman AD (2012) Functional imaging in adult and paediatric brain tumours. Nat Rev Clin Oncol 9(12):700–711
12. Nathan P, Zweifel M, Padhani AR, Koh D-M, Ng M, Collins DJ et al (2012) Phase I trial of combretastatin A4 phosphate (CA4P) in combination with bevacizumab in patients with advanced cancer. Clin Cancer Res 18(12):3428–3439
13. Pope WB, Kim HJ, Alger J, Brown MS, Gjertson D, Sai V et al (2009) Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment. Neuroradiology 252(1):182–189
14. Song YS, Choi SH, Park C-K, Yi KS, Lee WJ, Yun TJ et al (2013) True progression versus pseudoprogression in the treatment of glioblastomas: a comparison study of normalized cerebral blood volume and apparent diffusion coefficient by histogram analysis. Korean J Radiol 14(4):662–672
15. Donati OF, Mazaheri Y, Afaq A, Vargas HA, Zheng J, Moskowitz CS et al. Prostate cancer aggressiveness: assessment with whole-lesion histogram analysis of the apparent diffusion coefficient. 271(1):143–152
16. Miyazaki K, Jerome NP, Collins DJ, Orton MR, D’Arcy JA, Wallace T et al (2015) Demonstration of the reproducibility of free-breathing diffusion-weighted MRI and dynamic contrast enhanced MRI in children with solid tumours: a pilot study. Eur Radiol 25(9):2641–2650
17. Yankeelov TE, Lepage M, Chakravarthy A, Broome EE, Niermann KJ, Kelley MC et al (2007) Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Magn Reson Imaging 25(1):1–13
18. Le Bihan D, Breton E, Lallemand D, Aubin M-L, Vignaud J, Laval-Jeantet M (1988) Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 168(2):497–505
19. Bennett KM, Schmainda KM, Bennett RT, Rowe DB, Lu H, Hyde JS (2003) Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model. Magn Reson Med 50(4):727–734
20. Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K (2005) Diffusional kurtosis imaging: the quantification of non-Gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med 53:1432–1440
21. Le Bihan D, Turner R (1992) The capillary network: a link between IVIM and classical perfusion. Magn Reson Med 27(1):171–178
22. Limpert E, Stahel WA, Abbt M (2001) Log-normal distributions across the sciences: keys and clues. Bioscience 51(5):341
23. Lemke A, Stieltjes B, Schad LR, Laun FB (2011) Toward an optimal distribution of b values for intravoxel incoherent motion imaging. Magn Reson Imaging 29(6):766–776
24. Freiman M, Voss SD, Mulkern RV, Perez-Rossello JM, Callahan MJ, Warfield SK (2012) In vivo assessment of optimal b-value range for perfusion-insensitive apparent diffusion coefficient imaging. Med Phys 39:4832
25. Zhang JL, Sigmund EE, Rusinek H, Chandarana H, Storey P, Chen Q et al (2012) Optimization of b-value sampling for diffusion-weighted imaging of the kidney. Magn Reson Med 67:89–97
26. Rosenkrantz AB, Padhani AR, Chenevert TL, Koh D-M, De Keyzer F, Taouli B et al (2015) Body diffusion kurtosis imaging: basic principles, applications, and considerations for clinical practice. J Magn Reson Imaging 42(5):1190–1202
27. Koh D-M, Collins DJ, Orton MR (2011) Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges. Am J Roentgenol 196(6):1351–1361
28. Cobelli C, DiStefano JJ 3rd (1980) Parameter and structural identifiability concepts and ambiguities: a critical review and analysis. Am J Physiol 239(1):R7–R24
29. Winfield JM, DeSouza NM, Priest AN, Wakefield JC, Hodgkin C, Freeman S et al (2015) Modelling DW-MRI data from primary and metastatic ovarian tumours. Eur Radiol 25:2033–2040