The study of predictive factors for the evolution of vestibular schwannomas

Macielak RJ, Patel NS, Lees KA, Lohse CM, Marinelli JP, Link MJ et al (2019) Delayed tumor growth in vestibular schwannoma: an argument for lifelong surveillance. Otol Neurotol 40(9):1224–1229

Article  PubMed  Google Scholar 

Stangerup SE, Caye-Thomasen P, Tos M, Thomsen J (2006) The natural history of vestibular schwannoma. Otol Neurotol 27(4):547–552

Article  PubMed  Google Scholar 

Paldor I, Chen AS, Kaye AH (2016) Growth rate of vestibular schwannoma. J Clin Neurosci 32:1–8

Article  PubMed  Google Scholar 

Wu H, Zhang L, Han D, Mao Y, Yang J, Wang Z et al (2016) Summary and consensus in 7th International Conference on acoustic neuroma: an update for the management of sporadic acoustic neuromas. World J Otorhinolaryngol Head Neck Surg. 2(4):234–239

Article  PubMed  PubMed Central  Google Scholar 

Sethi M, Borsetto D, Cho Y, Gair J, Gamazo N, Jefferies S et al (2019) The conditional probability of vestibular schwannoma growth at different time points after initial stability on an observational protocol. Otol Neurotol 1:250–257

Google Scholar 

D’Haese S, Parmentier H, Keppler H, Van Vooren S, Van Driessche V, Bauters W et al (2019) Vestibular schwannoma: natural growth and possible predictive factors. Acta Otolaryngol (Stockh) 139(9):753–758

Article  PubMed  Google Scholar 

Herwadker A, Vokurka EA, Evans DGR, Ramsden RT, Jackson A (2005) Size and growth rate of sporadic vestibular schwannoma: predictive value of information available at presentation. Otol Neurotol 26(1):86–92

Article  PubMed  Google Scholar 

Shin JL, Asa SL, Woodhouse LJ, Smyth HS, Ezzat S (1999) Cystic lesions of the pituitary: clinicopathological features distinguishing craniopharyngioma, Rathke’s Cleft Cyst, and Arachnoid Cyst. J Clin Endocrinol Metab 84(11):3972–3982

CAS  PubMed  Google Scholar 

Park H, Qin L, Guerra P, Bay CP, Shinagare AB (2021) Decoding incidental ovarian lesions: use of texture analysis and machine learning for characterization and detection of malignancy. Abdom Radiol 46(6):2376–2383

Article  Google Scholar 

Sandrasegaran K, Lin Y, Asare-Sawiri M, Taiyini T, Tann M (2019) CT texture analysis of pancreatic cancer. Eur Radiol 29(3):1067–1073

Article  PubMed  Google Scholar 

Alessandrino F, Gujrathi R, Nassar AH, Alzaghal A, Ravi A, McGregor B et al (2020) Predictive role of computed tomography texture analysis in patients with metastatic urothelial cancer treated with programmed death-1 and programmed death-ligand 1 inhibitors. Eur Urol Oncol 3(5):680–686

Article  PubMed  Google Scholar 

Jian C, Guorong W, Zhiwei W, Zhengyu J (2020) CT texture analysis: a potential biomarker for evaluating KRAS mutational status in colorectal cancer. Chin Med Sci J 35(4):306

Article  Google Scholar 

Davnall F, Yip CSP, Ljungqvist G, Selmi M, Ng F, Sanghera B et al (2012) Assessment of tumor heterogeneity: an emerging imaging tool for clinical practice? Insights Imaging 3(6):573–589

Article  PubMed  PubMed Central  Google Scholar 

Ganeshan B, Miles KA (2013) Quantifying tumour heterogeneity with CT. Cancer Imaging 13(1):140–149

Article  PubMed  PubMed Central  Google Scholar 

Miles KA, Ganeshan B, Hayball MP (2013) CT texture analysis using the filtration-histogram method: what do the measurements mean? Cancer Imaging 13(3):400–406

Article  PubMed  PubMed Central  Google Scholar 

Kanzaki J, Tos M, Sanna M, Moffat DA, Monsell EM, Berliner KI (2003) New and modified reporting systems from the consensus meeting on systems for reporting results in vestibular schwannoma. Otol Neurotol 24:642–648

Article  PubMed  Google Scholar 

Tolisano AM, Wick CC, Hunter JB (2019) Comparing linear and volumetric vestibular schwannoma measurements between T1 and T2 magnetic resonance imaging sequences. Otol Neurotol 40(5S):S67-71

Article  PubMed  Google Scholar 

Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R et al (2009) New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 45(2):228–247

Article  CAS  PubMed  Google Scholar 

Shrout PE, Fleiss JL (1979) Intraclass correlations: uses in assessing rater reliability. Psychol Bull 86:420–428

Article  CAS  PubMed  Google Scholar 

Lubner MG, Smith AD, Sandrasegaran K, Sahani DV, Pickhardt PJ (2017) CT texture analysis: definitions, applications, biologic correlates, and challenges. Radiographics 37(5):1483–1503

Article  PubMed  Google Scholar 

Fieux M, Pouzet C, Bonjour M, Zaouche S, Jouanneau E, Tringali S (2020) MRI monitoring of small and medium-sized vestibular schwannomas: predictors of growth. Acta Otolaryngol (Stockh) 140(5):361–365

Article  PubMed  Google Scholar 

Hajioff D, Raut VV, Walsh RM, Bath AP, Bance ML, Guha A et al (2008) Conservative management of vestibular schwannomas: third review of a 10-year prospective study. Clin Otolaryngol 33(3):255–259

Article  CAS  PubMed  Google Scholar 

Putz F, Müller J, Wimmer C, Goerig N, Knippen S, Iro H et al (2017) Stereotactic radiotherapy of vestibular schwannoma: Hearing preservation, vestibular function, and local control following primary and salvage radiotherapy. Strahlenther Onkol 193(3):200–212

Article  PubMed  Google Scholar 

Deberge S, Meyer A, Le Pabic E, Peigne L, Morandi X, Godey B (2018) Quality of life in the management of small vestibular schwannomas: observation, radiotherapy and microsurgery. Clin Otolaryngol 43(6):1478–1486

Article  PubMed  Google Scholar 

Halliday J, Rutherford SA, McCabe MG, Evans DG (2018) An update on the diagnosis and treatment of vestibular schwannoma. Expert Rev Neurother 18(1):29–39

Article  CAS  PubMed  Google Scholar 

Yomo S, Carron R, Thomassin J-M, Roche P-H, Régis J (2012) Longitudinal analysis of hearing before and after radiosurgery for vestibular schwannoma: clinical article. J Neurosurg 117(5):877–885

Article  PubMed  Google Scholar 

Coughlin AR, Hunt AA, Gubbels SP (2019) Is hearing preserved following radiotherapy for vestibular schwannoma? Laryngoscope 129(4):775–776

Article  PubMed  Google Scholar 

Speckter H, Santana J, Bido J, Hernandez G, Rivera D, Suazo L et al (2019) Texture analysis of standard magnetic resonance images to predict response to gamma knife radiosurgery in vestibular schwannomas. World Neurosurg déc 132:e228–e234

Article  Google Scholar 

Langenhuizen PPJH, Sebregts SHP, Zinger S, Leenstra S, Verheul JB, With PHN (2020) Prediction of transient tumor enlargement using MRI tumor texture after radiosurgery on vestibular schwannoma. Med Phys 47(4):1692–1701

Article  PubMed  Google Scholar 

Malone J, Tiberi D, Sinclair J, Gaviolli E, Malone S (2020) Delayed pseudoprogression of a vestibular schwannoma postradiosurgery. Radiol Case Rep juin 15(6):749–752

Article  Google Scholar 

Yang H-C, Wu C-C, Lee C-C, Huang H-E, Lee W-K, Chung W-Y et al (2021) Prediction of pseudoprogression and long-term outcome of vestibular schwannoma after Gamma Knife radiosurgery based on preradiosurgical MR radiomics. Radiother Oncol 155:123–130

Article  PubMed  Google Scholar 

George-Jones NA, Wang K, Wang J, Hunter JB (2021) Prediction of vestibular schwannoma enlargement after radiosurgery using tumor shape and MRI texture features. Otol Neurotol 42(3):348–354

Article  Google Scholar 

Hentschel MA, Hannink G, Steens SCA, Mulder JJS, Rovers MM, Kunst HPM (2021) Development of a model to predict vestibular schwannoma growth: an opportunity to introduce new wait and scan strategies. Clin Otolaryngol 46(1):273–283

Article  PubMed  Google Scholar 

Kleijwegt M, Bettink F, Malessy M, Putter H, van der Mey A (2020) Clinical predictors leading to change of initial conservative treatment of 836 vestibular schwannomas. J Neurol Surg Part B Skull Base 81(01):015–021

Article  Google Scholar 

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