Literature DB >> 30841703

A 3D quantitative imaging biomarker in pre-treatment MRI predicts overall survival after stereotactic radiation therapy of patients with a singular brain metastasis.

Marta Della Seta1, Federico Collettini1,2, Julius Chapiro3, Alexander Angelidis4, Fidelis Engeling4, Bernd Hamm1, David Kaul4.   

Abstract

Entities:  

Keywords:  Brain metastases; prognostic indices; radiomics

Mesh：

Substances：

Year:  2019        PMID： 30841703     DOI： 10.1177/0284185119831692

Source DB:  PubMed          Journal:  Acta Radiol        ISSN： 0284-1851            Impact factor:   1.990


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  7 in total

Review 1.  Machine Learning-Based Radiomics in Neuro-Oncology.

Authors:  Felix Ehret; David Kaul; Hans Clusmann; Daniel Delev; Julius M Kernbach
Journal:  Acta Neurochir Suppl       Date:  2022

2.  Novel cancer therapies for advanced cutaneous melanoma: The added value of radiomics in the decision making process-A systematic review.

Authors:  Antonino Guerrisi; Emiliano Loi; Sara Ungania; Michelangelo Russillo; Vicente Bruzzaniti; Fulvia Elia; Flora Desiderio; Raffaella Marconi; Francesco Maria Solivetti; Lidia Strigari
Journal:  Cancer Med       Date:  2020-01-17       Impact factor: 4.452

3.  Virtual biopsy using MRI radiomics for prediction of BRAF status in melanoma brain metastasis.

Authors:  Ben Shofty; Moran Artzi; Shai Shtrozberg; Claudia Fanizzi; Francesco DiMeco; Oz Haim; Shira Peleg Hason; Zvi Ram; Dafna Ben Bashat; Rachel Grossman
Journal:  Sci Rep       Date:  2020-04-20       Impact factor: 4.379

4.  Computer Tomography Radiomics-Based Nomogram in the Survival Prediction for Brain Metastases From Non-Small Cell Lung Cancer Underwent Whole Brain Radiotherapy.

Authors:  Ji Zhang; Juebin Jin; Yao Ai; Kecheng Zhu; Chengjian Xiao; Congying Xie; Xiance Jin
Journal:  Front Oncol       Date:  2021-02-11       Impact factor: 6.244

Review 5.  Classification of true progression after radiotherapy of brain metastasis on MRI using artificial intelligence: a systematic review and meta-analysis.

Authors:  Hae Young Kim; Se Jin Cho; Leonard Sunwoo; Sung Hyun Baik; Yun Jung Bae; Byung Se Choi; Cheolkyu Jung; Jae Hyoung Kim
Journal:  Neurooncol Adv       Date:  2021-07-01

6.  Predicting Adverse Radiation Effects in Brain Tumors After Stereotactic Radiotherapy With Deep Learning and Handcrafted Radiomics.

Authors:  Simon A Keek; Manon Beuque; Sergey Primakov; Henry C Woodruff; Avishek Chatterjee; Janita E van Timmeren; Martin Vallières; Lizza E L Hendriks; Johannes Kraft; Nicolaus Andratschke; Steve E Braunstein; Olivier Morin; Philippe Lambin
Journal:  Front Oncol       Date:  2022-07-13       Impact factor: 5.738

Review 7.  Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.

Authors:  Martin Kocher; Maximilian I Ruge; Norbert Galldiks; Philipp Lohmann
Journal:  Strahlenther Onkol       Date:  2020-05-11       Impact factor: 4.033
  7 in total

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