Research map: Early Prediction of Volumetric Progression in Sellar–Parasellar Meningiomas Using Delta Radiomics on 6-Month MRI Following Gamma Knife Radiosurgery

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  1. 3D Slicer as an image computing platform for the Quantitative Imaging Network · Andriy Fedorov · 2012 · 9319 citations · Cited by this paper
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  15. CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII · Burak Koçak · 2023 · 466 citations · Cited by this paper
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  19. Delta-radiomics features for the prediction of patient outcomes in non–small cell lung cancer · Xenia J. Fave · 2017 · 354 citations · Cited by this paper
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  21. Correlation between apparent diffusion coefficient (ADC) and cellularity is different in several tumors: a meta-analysis · Alexey Surov · 2017 · 324 citations · Cited by this paper
  22. Gamma Knife radiosurgery for the management of nonfunctioning pituitary adenomas: a multicenter study · Jason P. Sheehan · 2013 · 228 citations · Cited by this paper
  23. Proposed response assessment and endpoints for meningioma clinical trials: report from the Response Assessment in Neuro-Oncology Working Group · Raymond Y. Huang · 2018 · 215 citations · Cited by this paper
  24. Assessment of imaging studies used with radiosurgery: a volumetric algorithm and an estimation of its error · John W. Snell · 2006 · 210 citations · Cited by this paper
  25. Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging · Yae Won Park · 2018 · 182 citations · Cited by this paper
  26. Diffusion-weighted MR Imaging in Monitoring the Effect of a Vascular Targeting Agent on Rhabdomyosarcoma in Rats · Harriet C. Thoeny · 2005 · 157 citations · Cited by this paper
  27. Radiographic prediction of meningioma grade by semantic and radiomic features · Thibaud P. Coroller · 2017 · 155 citations · Cited by this paper
  28. Gamma Knife radiosurgery for sellar and parasellar meningiomas: a multicenter study · Jason P. Sheehan · 2014 · 105 citations · Cited by this paper
  29. Intracerebral metastasis showing restricted diffusion: Correlation with histopathologic findings · Gökhan Duygulu · 2009 · 90 citations · Cited by this paper
  30. Delta radiomics: an updated systematic review · Valerio Nardone · 2024 · 70 citations · Cited by this paper
  31. Edema following Gamma Knife radiosurgery for parasagittal and parafalcine meningiomas · Jason P. Sheehan · 2015 · 67 citations · Cited by this paper
  32. Prediction of pseudoprogression and long-term outcome of vestibular schwannoma after Gamma Knife radiosurgery based on preradiosurgical MR radiomics · Huai‐Che Yang · 2020 · 57 citations · Cited by this paper
  33. Gamma Knife Radiosurgery for Pituitary Tumors: A Systematic Review and Meta-Analysis · Luigi Albano · 2021 · 56 citations · Cited by this paper
  34. VOLUMETRIC FOLLOW-UP OF MENINGIOMAS · Guenther Christian Feigl · 2007 · 51 citations · Cited by this paper
  35. Application of diffusion-weighted magnetic resonance imaging to predict the intracranial metastatic tumor response to gamma knife radiosurgery · Cheng‐Chia Lee · 2014 · 49 citations · Cited by this paper
  36. Magnetic Resonance Imaging-based Tumour Perfusion Parameters are Biomarkers Predicting Response after Radiation to Brain Metastases · Raphael Y. Jakubovic · 2014 · 46 citations · Cited by this paper
  37. Magnetic resonance imaging characteristics and the prediction of outcome of vestibular schwannomas following Gamma Knife radiosurgery · Chih‐Chun Wu · 2017 · 41 citations · Cited by this paper
  38. Diffusion magnetic resonance imaging as an evaluation of the response of brain metastases treated by stereotactic radiosurgery · Chuanfu Huang · 2007 · 35 citations · Cited by this paper
  39. Pretreatment texture analysis of routine MR images and shape analysis of the diffusion tensor for prediction of volumetric response after radiosurgery for meningioma · Herwin Speckter · 2018 · 24 citations · Cited by this paper

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