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Literature DB >> 31504809

On the promise of artificial intelligence for standardizing radiographic response assessment in gliomas.

Benjamin M Ellingson¹.

Abstract

Entities: Disease

Mesh：

Year: 2019 PMID： 31504809 PMCID： PMC6827830 DOI： 10.1093/neuonc/noz162

Source DB: PubMed Journal: Neuro Oncol ISSN： 1522-8517 Impact factor: 12.300

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9 in total

Review 1. Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials.

Authors: Benjamin M Ellingson; Martin Bendszus; Jerrold Boxerman; Daniel Barboriak; Bradley J Erickson; Marion Smits; Sarah J Nelson; Elizabeth Gerstner; Brian Alexander; Gregory Goldmacher; Wolfgang Wick; Michael Vogelbaum; Michael Weller; Evanthia Galanis; Jayashree Kalpathy-Cramer; Lalitha Shankar; Paula Jacobs; Whitney B Pope; Dewen Yang; Caroline Chung; Michael V Knopp; Soonme Cha; Martin J van den Bent; Susan Chang; W K Al Yung; Timothy F Cloughesy; Patrick Y Wen; Mark R Gilbert
Journal: Neuro Oncol Date: 2015-08-05 Impact factor: 12.300

Review 2. Blinded independent central review of progression-free survival in phase III clinical trials: important design element or unnecessary expense?

Authors: Lori E Dodd; Edward L Korn; Boris Freidlin; C Carl Jaffe; Lawrence V Rubinstein; Janet Dancey; Margaret M Mooney
Journal: J Clin Oncol Date: 2008-08-01 Impact factor: 44.544

3. Early post-bevacizumab progression on contrast-enhanced MRI as a prognostic marker for overall survival in recurrent glioblastoma: results from the ACRIN 6677/RTOG 0625 Central Reader Study.

Authors: Jerrold L Boxerman; Zheng Zhang; Yair Safriel; Mykol Larvie; Bradley S Snyder; Rajan Jain; T Linda Chi; A Gregory Sorensen; Mark R Gilbert; Daniel P Barboriak
Journal: Neuro Oncol Date: 2013-06-19 Impact factor: 12.300

4. Response assessment in neuro-oncology criteria: implementation challenges in multicenter neuro-oncology trials.

Authors: W B Pope; C Hessel
Journal: AJNR Am J Neuroradiol Date: 2011-04-07 Impact factor: 3.825

Review 5. State of the art survey on MRI brain tumor segmentation.

Authors: Nelly Gordillo; Eduard Montseny; Pilar Sobrevilla
Journal: Magn Reson Imaging Date: 2013-06-20 Impact factor: 2.546

Review 6. A survey of MRI-based medical image analysis for brain tumor studies.

Authors: Stefan Bauer; Roland Wiest; Lutz-P Nolte; Mauricio Reyes
Journal: Phys Med Biol Date: 2013-06-06 Impact factor: 3.609

7. Quantitative Delta T1 (dT1) as a Replacement for Adjudicated Central Reader Analysis of Contrast-Enhancing Tumor Burden: A Subanalysis of the American College of Radiology Imaging Network 6677/Radiation Therapy Oncology Group 0625 Multicenter Brain Tumor Trial.

Authors: K M Schmainda; M A Prah; Z Zhang; B S Snyder; S D Rand; T R Jensen; D P Barboriak; J L Boxerman
Journal: AJNR Am J Neuroradiol Date: 2019-06-27 Impact factor: 3.825

8. Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement.

Authors: Ken Chang; Andrew L Beers; Harrison X Bai; James M Brown; K Ina Ly; Xuejun Li; Joeky T Senders; Vasileios K Kavouridis; Alessandro Boaro; Chang Su; Wenya Linda Bi; Otto Rapalino; Weihua Liao; Qin Shen; Hao Zhou; Bo Xiao; Yinyan Wang; Paul J Zhang; Marco C Pinho; Patrick Y Wen; Tracy T Batchelor; Jerrold L Boxerman; Omar Arnaout; Bruce R Rosen; Elizabeth R Gerstner; Li Yang; Raymond Y Huang; Jayashree Kalpathy-Cramer
Journal: Neuro Oncol Date: 2019-11-04 Impact factor: 12.300

Review 9. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

Authors: Bjoern H Menze; Andras Jakab; Stefan Bauer; Jayashree Kalpathy-Cramer; Keyvan Farahani; Justin Kirby; Yuliya Burren; Nicole Porz; Johannes Slotboom; Roland Wiest; Levente Lanczi; Elizabeth Gerstner; Marc-André Weber; Tal Arbel; Brian B Avants; Nicholas Ayache; Patricia Buendia; D Louis Collins; Nicolas Cordier; Jason J Corso; Antonio Criminisi; Tilak Das; Hervé Delingette; Çağatay Demiralp; Christopher R Durst; Michel Dojat; Senan Doyle; Joana Festa; Florence Forbes; Ezequiel Geremia; Ben Glocker; Polina Golland; Xiaotao Guo; Andac Hamamci; Khan M Iftekharuddin; Raj Jena; Nigel M John; Ender Konukoglu; Danial Lashkari; José Antonió Mariz; Raphael Meier; Sérgio Pereira; Doina Precup; Stephen J Price; Tammy Riklin Raviv; Syed M S Reza; Michael Ryan; Duygu Sarikaya; Lawrence Schwartz; Hoo-Chang Shin; Jamie Shotton; Carlos A Silva; Nuno Sousa; Nagesh K Subbanna; Gabor Szekely; Thomas J Taylor; Owen M Thomas; Nicholas J Tustison; Gozde Unal; Flor Vasseur; Max Wintermark; Dong Hye Ye; Liang Zhao; Binsheng Zhao; Darko Zikic; Marcel Prastawa; Mauricio Reyes; Koen Van Leemput
Journal: IEEE Trans Med Imaging Date: 2014-12-04 Impact factor: 10.048

9 in total

2 in total

Review 1. Preclinical Applications of Multi-Platform Imaging in Animal Models of Cancer.

Authors: Natalie J Serkova; Kristine Glunde; Chad R Haney; Mohammed Farhoud; Alexandra De Lille; Elizabeth F Redente; Dmitri Simberg; David C Westerly; Lynn Griffin; Ralph P Mason
Journal: Cancer Res Date: 2020-12-01 Impact factor: 13.312

2. Fully automated analysis combining [¹⁸F]-FET-PET and multiparametric MRI including DSC perfusion and APTw imaging: a promising tool for objective evaluation of glioma progression.

Authors: K J Paprottka; S Kleiner; C Preibisch; F Kofler; F Schmidt-Graf; C Delbridge; D Bernhardt; S E Combs; J Gempt; B Meyer; C Zimmer; B H Menze; I Yakushev; J S Kirschke; B Wiestler
Journal: Eur J Nucl Med Mol Imaging Date: 2021-06-25 Impact factor: 9.236

2 in total

On the promise of artificial intelligence for standardizing radiographic response assessment in gliomas.

Review 1. Consensus recommendations for a standardized Brain Tumor Imaging Protocol in clinical trials.

Review 2. Blinded independent central review of progression-free survival in phase III clinical trials: important design element or unnecessary expense?

3. Early post-bevacizumab progression on contrast-enhanced MRI as a prognostic marker for overall survival in recurrent glioblastoma: results from the ACRIN 6677/RTOG 0625 Central Reader Study.

4. Response assessment in neuro-oncology criteria: implementation challenges in multicenter neuro-oncology trials.

Review 5. State of the art survey on MRI brain tumor segmentation.

Review 6. A survey of MRI-based medical image analysis for brain tumor studies.

7. Quantitative Delta T1 (dT1) as a Replacement for Adjudicated Central Reader Analysis of Contrast-Enhancing Tumor Burden: A Subanalysis of the American College of Radiology Imaging Network 6677/Radiation Therapy Oncology Group 0625 Multicenter Brain Tumor Trial.

8. Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement.

Review 9. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).

Review 1. Preclinical Applications of Multi-Platform Imaging in Animal Models of Cancer.

2. Fully automated analysis combining [18F]-FET-PET and multiparametric MRI including DSC perfusion and APTw imaging: a promising tool for objective evaluation of glioma progression.

2. Fully automated analysis combining [¹⁸F]-FET-PET and multiparametric MRI including DSC perfusion and APTw imaging: a promising tool for objective evaluation of glioma progression.