Louis DN, Perry A, Reifenberger G, Von Deimling A, Figarella-Branger D, Cavenee WK et al (2016) The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathol (Berl) 131(6):803–820. https://doi.org/10.1007/s00401-016-1545-1
Article
Google Scholar
Saloner D, Uzelac A, Hetts S, Martin A, Dillon W (2010) Modern meningioma imaging techniques. J Neuro-Oncol 99(3):333–340. https://doi.org/10.1007/s11060-010-0367-6
Article
CAS
Google Scholar
Surov A, Ginat DT, Lim T, Cabada T, Baskan O, Schob S, Meyer HJ, Gihr GA, Horvath-Rizea D, Hamerla G, Hoffmann KT, Wienke A (2018) Histogram analysis parameters apparent diffusion coefficient for distinguishing high and low-grade meningiomas: a multicenter study. Transl Oncol 11(5):1074–1079. https://doi.org/10.1016/j.tranon.2018.06.010
Article
PubMed
PubMed Central
Google Scholar
Hakyemez B, Yıldırım N, Gokalp G, Erdogan C, Parlak M (2006) The contribution of diffusion-weighted MR imaging to distinguishing typical from atypical meningiomas. Neuroradiology. 48(8):513–520. https://doi.org/10.1007/s00234-006-0094-z
Article
PubMed
Google Scholar
Nagar VA, Ye JR, Ng WH, Chan YH, Hui F, Lee CK, Lim CCT (2008) Diffusion-weighted MR imaging: diagnosing atypical or malignant meningiomas and detecting tumor dedifferentiation. Am J Neuroradiol 29(6):1147–1152. https://doi.org/10.3174/ajnr.A0996
Article
CAS
PubMed
PubMed Central
Google Scholar
Surov A, Ginat DT, Sanverdi E, Lim CT, Hakyemez B, Yogi A et al (2016) Use of diffusion weighted imaging in differentiating between maligant and benign meningiomas. A multicenter analysis. World Neurosurg 88:598–602. https://doi.org/10.1016/j.wneu.2015.10.049
Article
PubMed
Google Scholar
Surov A, Gottschling S, Mawrin C, Prell J, Spielmann RP, Wienke A, Fiedler E (2015) Diffusion-weighted imaging in meningioma: prediction of tumor grade and association with histopathological parameters. Transl Oncol 8(6):517–523. https://doi.org/10.1016/j.tranon.2015.11.012
Article
PubMed
PubMed Central
Google Scholar
Just N (2014) Improving tumour heterogeneity MRI assessment with histograms. Br J Cancer 111(12):2205–2213. https://doi.org/10.1038/bjc.2014.512
Article
CAS
PubMed
PubMed Central
Google Scholar
Meyer HJ, Leifels L, Schob S, Garnov N, Surov A (2018) Histogram analysis parameters identify multiple associations between DWI and DCE MRI in head and neck squamous cell carcinoma. Magn Reson Imaging 45:72–77. https://doi.org/10.1016/j.mri.2017.09.015
Article
PubMed
Google Scholar
Meyer H-J, Schob S, Münch B, Frydrychowicz C, Garnov N, Quäschling U, Hoffmann KT, Surov A (2018) Histogram analysis of T1-weighted, T2-weighted, and postcontrast T1-weighted images in primary CNS lymphoma: correlations with histopathological findings—a preliminary study. Mol Imaging Biol 20(2):318–323. https://doi.org/10.1007/s11307-017-1115-5
Article
PubMed
Google Scholar
Whittle IR, Smith C, Navoo P, Collie D (2004) Meningiomas. Lancet 363(9420):1535–1543. https://doi.org/10.1016/S0140-6736(04)16153-9
Article
PubMed
Google Scholar
Thornton AF Jr, Sandler HM, Ten Haken RK, McShan DL, Fraass BA, LaVigne ML, Yanks BR (1992) The clinical utility of magnetic resonance imaging in 3-dimensional treatment planning of brain neoplasms. Int J Radiat Oncol Biol Phys 24(4):767–775. https://doi.org/10.1016/0360-3016(92)90727-Y
Article
PubMed
Google Scholar
Deasy JO, Blanco AI, Clark VH (2003) CERR: a computational environment for radiotherapy research. Med Phys 30(5):979–985. https://doi.org/10.1118/1.1568978
Article
PubMed
Google Scholar
Li X, Miao Y, Han L, Dong J, Guo Y, Shang Y, Xie L, Song Q, Liu A (2019) Meningioma grading using conventional MRI histogram analysis based on 3D tumor measurement. Eur J Radiol 110:45–53. https://doi.org/10.1016/j.ejrad.2018.11.016
Article
PubMed
Google Scholar
Meyer HJ, Leifels L, Hamerla G, Höhn AK, Surov A (2019) Histogram analysis parameters derived from conventional T1-and T2-weighted images can predict different histopathological features including expression of Ki67, EGFR, VEGF, HIF-1α, and p53 and cell count in head and neck squamous cell carcinoma. Mol Imaging Biol 21(4):740–746. https://doi.org/10.1007/s11307-018-1283-y
Article
CAS
PubMed
Google Scholar
Woo S, Cho JY, Kim SY, Kim SH (2014) Histogram analysis of apparent diffusion coefficient map of diffusion-weighted MRI in endometrial cancer: a preliminary correlation study with histological grade. Acta Radiol 55(10):1270–1277. https://doi.org/10.1177/0284185113514967
Article
PubMed
Google Scholar
Waldenberg C, Hebelka H, Brisby H, Lagerstrand KM (2018) MRI histogram analysis enables objective and continuous classification of intervertebral disc degeneration. Eur Spine J 27(5):1042–1048. https://doi.org/10.1007/s00586-017-5264-7
Article
PubMed
Google Scholar
Barrett T, Lawrence EM, Priest AN, Warren AY, Gnanapragasam VJ, Gallagher FA, Sala E (2019) Repeatability of diffusion-weighted MRI of the prostate using whole lesion ADC values, skew and histogram analysis. Eur J Radiol 110:22–29. https://doi.org/10.1016/j.ejrad.2018.11.014
Article
PubMed
Google Scholar
Meyer H-J, Hamerla G, Höhn AK, Surov A (2019) Whole lesion histogram analysis derived from morphological MRI sequences might be able to predict EGFR-and Her2-expression in cervical cancer. Acad Radiol 26(8):e208–e215. https://doi.org/10.1016/j.acra.2018.09.008
Article
PubMed
Google Scholar
Kang Y, Choi SH, Kim Y-J, Kim KG, Sohn C-H, Kim J-H, Yun TJ, Chang KH (2011) Gliomas: histogram analysis of apparent diffusion coefficient maps with standard-or high-b-value diffusion-weighted MR imaging—correlation with tumor grade. Radiology. 261(3):882–890. https://doi.org/10.1148/radiol.11110686
Article
PubMed
Google Scholar
Schob S, Meyer HJ, Pazaitis N, Schramm D, Bremicker K, Exner M, Höhn AK, Garnov N, Surov A (2017) ADC histogram analysis of cervical cancer aids detecting lymphatic metastases—a preliminary study. Mol Imaging Biol 19(6):953–962. https://doi.org/10.1007/s11307-017-1073-y
Article
PubMed
Google Scholar
Schob S, Meyer HJ, Dieckow J, Pervinder B, Pazaitis N, Höhn AK, Garnov N, Horvath-Rizea D, Hoffmann KT, Surov A (2017) Histogram analysis of diffusion weighted imaging at 3T is useful for prediction of lymphatic metastatic spread, proliferative activity, and cellularity in thyroid cancer. Int J Mol Sci 18(4):821. https://doi.org/10.3390/ijms18040821
Article
CAS
PubMed Central
Google Scholar
Meyer HJ, Höhn A, Surov A (2018) Histogram analysis of ADC in rectal cancer: associations with different histopathological findings including expression of EGFR, Hif1-alpha, VEGF, p53, PD1, and KI 67. A preliminary study. Oncotarget 9(26):18510
Article
Google Scholar
Ahn SJ, Choi SH, Kim Y-J, Kim KG, Sohn C-H, Han MH, Chang KH, Min HS (2012) Histogram analysis of apparent diffusion coefficient map of standard and high B-value diffusion MR imaging in head and neck squamous cell carcinoma: a correlation study with histological grade. Acad Radiol 19(10):1233–1240. https://doi.org/10.1016/j.acra.2012.04.019
Article
PubMed
Google Scholar
Ryu YJ, Choi SH, Park SJ, Yun TJ, Kim J-H, Sohn C-H (2014) Glioma: application of whole-tumor texture analysis of diffusion-weighted imaging for the evaluation of tumor heterogeneity. PLoS One 9(9):e108335. https://doi.org/10.1371/journal.pone.0108335
Article
CAS
PubMed
PubMed Central
Google Scholar
Skogen K, Schulz A, Dormagen JB, Ganeshan B, Helseth E, Server A (2016) Diagnostic performance of texture analysis on MRI in grading cerebral gliomas. Eur J Radiol 85(4):824–829. https://doi.org/10.1016/j.ejrad.2016.01.013
Article
PubMed
Google Scholar
Baek HJ, Kim HS, Kim N, Choi YJ, Kim YJ (2012) Percent change of perfusion skewness and kurtosis: a potential imaging biomarker for early treatment response in patients with newly diagnosed glioblastomas. Radiology. 264(3):834–843. https://doi.org/10.1148/radiol.12112120
Article
PubMed
Google Scholar
Wang S, Kim S, Zhang Y, Wang L, Lee EB, Syre P, Poptani H, Melhem ER, Lee JYK (2012) Determination of grade and subtype of meningiomas by using histogram analysis of diffusion-tensor imaging metrics. Radiology. 262(2):584–592. https://doi.org/10.1148/radiol.11110576
Article
PubMed
Google Scholar
Azizyan A, Eboli P, Drazin D, Mirocha J, Maya MM, Bannykh S (2014) Differentiation of benign angiomatous and microcystic meningiomas with extensive peritumoral edema from high grade meningiomas with aid of diffusion weighted MRI. Biomed Res Int 2014:1–7. https://doi.org/10.1155/2014/650939
Article
Google Scholar
Liu Z, Wang C, Wang H, Wang Y, Li JY, Liu Y (2013) Clinical characteristics and treatment of angiomatous meningiomas: a report of 27 cases. Int J Clin Exp Pathol 6(4):695–702
PubMed
PubMed Central
Google Scholar
Zakhari N, Torres C, Castillo M, Nguyen TB (2017) Uncommon cranial meningioma: key imaging features on conventional and advanced imaging. Clin Neuroradiol 27(2):135–144. https://doi.org/10.1007/s00062-017-0583-y
Article
PubMed
Google Scholar