Literature DB >> 34764084

Quantifying T2-FLAIR Mismatch Using Geographically Weighted Regression and Predicting Molecular Status in Lower-Grade Gliomas.

S Mohammed1,2, V Ravikumar2, E Warner2, S H Patel3, S Bakas4,5, A Rao1,2,6,7,8, R Jain9,10.   

Abstract

BACKGROUND AND
PURPOSE: The T2-FLAIR mismatch sign is a validated imaging sign of isocitrate dehydrogenase-mutant 1p/19q noncodeleted gliomas. It is identified by radiologists through visual inspection of preoperative MR imaging scans and has been shown to identify isocitrate dehydrogenase-mutant 1p/19q noncodeleted gliomas with a high positive predictive value. We have developed an approach to quantify the T2-FLAIR mismatch signature and use it to predict the molecular status of lower-grade gliomas.
MATERIALS AND METHODS: We used multiparametric MR imaging scans and segmentation labels of 108 preoperative lower-grade glioma tumors from The Cancer Imaging Archive. Clinical information and T2-FLAIR mismatch sign labels were obtained from supplementary material of relevant publications. We adopted an objective analytic approach to estimate this sign through a geographically weighted regression and used the residuals for each case to construct a probability density function (serving as a residual signature). These functions were then analyzed using an appropriate statistical framework.
RESULTS: We observed statistically significant (P value = .05) differences between the averages of residual signatures for an isocitrate dehydrogenase-mutant 1p/19q noncodeleted class of tumors versus other categories. Our classifier predicts these cases with area under the curve of 0.98 and high specificity and sensitivity. It also predicts the T2-FLAIR mismatch sign within these cases with an under the curve of 0.93.
CONCLUSIONS: On the basis of this retrospective study, we show that geographically weighted regression-based residual signatures are highly informative of the T2-FLAIR mismatch sign and can identify isocitrate dehydrogenase-mutation and 1p/19q codeletion status with high predictive power. The utility of the proposed quantification of the T2-FLAIR mismatch sign can be potentially validated through a prospective multi-institutional study.
© 2022 by American Journal of Neuroradiology.

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Year:  2021        PMID: 34764084      PMCID: PMC8757555          DOI: 10.3174/ajnr.A7341

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  22 in total

1.  Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.

Authors:  Daniel J Brat; Roel G W Verhaak; Kenneth D Aldape; W K Alfred Yung; Sofie R Salama; Lee A D Cooper; Esther Rheinbay; C Ryan Miller; Mark Vitucci; Olena Morozova; A Gordon Robertson; Houtan Noushmehr; Peter W Laird; Andrew D Cherniack; Rehan Akbani; Jason T Huse; Giovanni Ciriello; Laila M Poisson; Jill S Barnholtz-Sloan; Mitchel S Berger; Cameron Brennan; Rivka R Colen; Howard Colman; Adam E Flanders; Caterina Giannini; Mia Grifford; Antonio Iavarone; Rajan Jain; Isaac Joseph; Jaegil Kim; Katayoon Kasaian; Tom Mikkelsen; Bradley A Murray; Brian Patrick O'Neill; Lior Pachter; Donald W Parsons; Carrie Sougnez; Erik P Sulman; Scott R Vandenberg; Erwin G Van Meir; Andreas von Deimling; Hailei Zhang; Daniel Crain; Kevin Lau; David Mallery; Scott Morris; Joseph Paulauskis; Robert Penny; Troy Shelton; Mark Sherman; Peggy Yena; Aaron Black; Jay Bowen; Katie Dicostanzo; Julie Gastier-Foster; Kristen M Leraas; Tara M Lichtenberg; Christopher R Pierson; Nilsa C Ramirez; Cynthia Taylor; Stephanie Weaver; Lisa Wise; Erik Zmuda; Tanja Davidsen; John A Demchok; Greg Eley; Martin L Ferguson; Carolyn M Hutter; Kenna R Mills Shaw; Bradley A Ozenberger; Margi Sheth; Heidi J Sofia; Roy Tarnuzzer; Zhining Wang; Liming Yang; Jean Claude Zenklusen; Brenda Ayala; Julien Baboud; Sudha Chudamani; Mark A Jensen; Jia Liu; Todd Pihl; Rohini Raman; Yunhu Wan; Ye Wu; Adrian Ally; J Todd Auman; Miruna Balasundaram; Saianand Balu; Stephen B Baylin; Rameen Beroukhim; Moiz S Bootwalla; Reanne Bowlby; Christopher A Bristow; Denise Brooks; Yaron Butterfield; Rebecca Carlsen; Scott Carter; Lynda Chin; Andy Chu; Eric Chuah; Kristian Cibulskis; Amanda Clarke; Simon G Coetzee; Noreen Dhalla; Tim Fennell; Sheila Fisher; Stacey Gabriel; Gad Getz; Richard Gibbs; Ranabir Guin; Angela Hadjipanayis; D Neil Hayes; Toshinori Hinoue; Katherine Hoadley; Robert A Holt; Alan P Hoyle; Stuart R Jefferys; Steven Jones; Corbin D Jones; Raju Kucherlapati; Phillip H Lai; Eric Lander; Semin Lee; Lee Lichtenstein; Yussanne Ma; Dennis T Maglinte; Harshad S Mahadeshwar; Marco A Marra; Michael Mayo; Shaowu Meng; Matthew L Meyerson; Piotr A Mieczkowski; Richard A Moore; Lisle E Mose; Andrew J Mungall; Angeliki Pantazi; Michael Parfenov; Peter J Park; Joel S Parker; Charles M Perou; Alexei Protopopov; Xiaojia Ren; Jeffrey Roach; Thaís S Sabedot; Jacqueline Schein; Steven E Schumacher; Jonathan G Seidman; Sahil Seth; Hui Shen; Janae V Simons; Payal Sipahimalani; Matthew G Soloway; Xingzhi Song; Huandong Sun; Barbara Tabak; Angela Tam; Donghui Tan; Jiabin Tang; Nina Thiessen; Timothy Triche; David J Van Den Berg; Umadevi Veluvolu; Scot Waring; Daniel J Weisenberger; Matthew D Wilkerson; Tina Wong; Junyuan Wu; Liu Xi; Andrew W Xu; Lixing Yang; Travis I Zack; Jianhua Zhang; B Arman Aksoy; Harindra Arachchi; Chris Benz; Brady Bernard; Daniel Carlin; Juok Cho; Daniel DiCara; Scott Frazer; Gregory N Fuller; JianJiong Gao; Nils Gehlenborg; David Haussler; David I Heiman; Lisa Iype; Anders Jacobsen; Zhenlin Ju; Sol Katzman; Hoon Kim; Theo Knijnenburg; Richard Bailey Kreisberg; Michael S Lawrence; William Lee; Kalle Leinonen; Pei Lin; Shiyun Ling; Wenbin Liu; Yingchun Liu; Yuexin Liu; Yiling Lu; Gordon Mills; Sam Ng; Michael S Noble; Evan Paull; Arvind Rao; Sheila Reynolds; Gordon Saksena; Zack Sanborn; Chris Sander; Nikolaus Schultz; Yasin Senbabaoglu; Ronglai Shen; Ilya Shmulevich; Rileen Sinha; Josh Stuart; S Onur Sumer; Yichao Sun; Natalie Tasman; Barry S Taylor; Doug Voet; Nils Weinhold; John N Weinstein; Da Yang; Kosuke Yoshihara; Siyuan Zheng; Wei Zhang; Lihua Zou; Ty Abel; Sara Sadeghi; Mark L Cohen; Jenny Eschbacher; Eyas M Hattab; Aditya Raghunathan; Matthew J Schniederjan; Dina Aziz; Gene Barnett; Wendi Barrett; Darell D Bigner; Lori Boice; Cathy Brewer; Chiara Calatozzolo; Benito Campos; Carlos Gilberto Carlotti; Timothy A Chan; Lucia Cuppini; Erin Curley; Stefania Cuzzubbo; Karen Devine; Francesco DiMeco; Rebecca Duell; J Bradley Elder; Ashley Fehrenbach; Gaetano Finocchiaro; William Friedman; Jordonna Fulop; Johanna Gardner; Beth Hermes; Christel Herold-Mende; Christine Jungk; Ady Kendler; Norman L Lehman; Eric Lipp; Ouida Liu; Randy Mandt; Mary McGraw; Roger Mclendon; Christopher McPherson; Luciano Neder; Phuong Nguyen; Ardene Noss; Raffaele Nunziata; Quinn T Ostrom; Cheryl Palmer; Alessandro Perin; Bianca Pollo; Alexander Potapov; Olga Potapova; W Kimryn Rathmell; Daniil Rotin; Lisa Scarpace; Cathy Schilero; Kelly Senecal; Kristen Shimmel; Vsevolod Shurkhay; Suzanne Sifri; Rosy Singh; Andrew E Sloan; Kathy Smolenski; Susan M Staugaitis; Ruth Steele; Leigh Thorne; Daniela P C Tirapelli; Andreas Unterberg; Mahitha Vallurupalli; Yun Wang; Ronald Warnick; Felicia Williams; Yingli Wolinsky; Sue Bell; Mara Rosenberg; Chip Stewart; Franklin Huang; Jonna L Grimsby; Amie J Radenbaugh; Jianan Zhang
Journal:  N Engl J Med       Date:  2015-06-10       Impact factor: 91.245

2.  MRI Features Can Predict 1p/19q Status in Intracranial Gliomas.

Authors:  A Lasocki; F Gaillard; A Gorelik; M Gonzales
Journal:  AJNR Am J Neuroradiol       Date:  2018-03-08       Impact factor: 3.825

Review 3.  WHO 2016 Classification of gliomas.

Authors:  P Wesseling; D Capper
Journal:  Neuropathol Appl Neurobiol       Date:  2018-02       Impact factor: 8.090

Review 4.  The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.

Authors:  David N Louis; Arie Perry; Guido Reifenberger; Andreas von Deimling; Dominique Figarella-Branger; Webster K Cavenee; Hiroko Ohgaki; Otmar D Wiestler; Paul Kleihues; David W Ellison
Journal:  Acta Neuropathol       Date:  2016-05-09       Impact factor: 17.088

5.  "Real world" use of a highly reliable imaging sign: "T2-FLAIR mismatch" for identification of IDH mutant astrocytomas.

Authors:  Rajan Jain; Derek R Johnson; Sohil H Patel; Mauricio Castillo; Marion Smits; Martin J van den Bent; Andrew S Chi; Daniel P Cahill
Journal:  Neuro Oncol       Date:  2020-07-07       Impact factor: 12.300

6.  Changing incidence and improved survival of gliomas.

Authors:  Vincent K Y Ho; Jaap C Reijneveld; Roelien H Enting; Henri P Bienfait; Pierre Robe; Brigitta G Baumert; Otto Visser
Journal:  Eur J Cancer       Date:  2014-06-24       Impact factor: 9.162

7.  Radiographic assessment of contrast enhancement and T2/FLAIR mismatch sign in lower grade gliomas: correlation with molecular groups.

Authors:  Tareq A Juratli; Shilpa S Tummala; Julie J Miller; Daniel P Cahill; Angelika Riedl; Dirk Daubner; Silke Hennig; Tristan Penson; Amir Zolal; Christian Thiede; Gabriele Schackert; Dietmar Krex
Journal:  J Neurooncol       Date:  2018-12-07       Impact factor: 4.506

8.  The T2-FLAIR mismatch sign as an imaging marker for non-enhancing IDH-mutant, 1p/19q-intact lower-grade glioma: a validation study.

Authors:  Martinus P G Broen; Marion Smits; Maarten M J Wijnenga; Hendrikus J Dubbink; Monique H M E Anten; Olaf E M G Schijns; Jan Beckervordersandforth; Alida A Postma; Martin J van den Bent
Journal:  Neuro Oncol       Date:  2018-09-03       Impact factor: 13.029

9.  Statistical normalization techniques for magnetic resonance imaging.

Authors:  Russell T Shinohara; Elizabeth M Sweeney; Jeff Goldsmith; Navid Shiee; Farrah J Mateen; Peter A Calabresi; Samson Jarso; Dzung L Pham; Daniel S Reich; Ciprian M Crainiceanu
Journal:  Neuroimage Clin       Date:  2014-08-15       Impact factor: 4.881

10.  Density-based classification in diabetic retinopathy through thickness of retinal layers from optical coherence tomography.

Authors:  Shariq Mohammed; Tingyang Li; Xing D Chen; Elisa Warner; Anand Shankar; Maria Fernanda Abalem; Thiran Jayasundera; Thomas W Gardner; Arvind Rao
Journal:  Sci Rep       Date:  2020-09-28       Impact factor: 4.379

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  1 in total

1.  A Pipeline for the Implementation and Visualization of Explainable Machine Learning for Medical Imaging Using Radiomics Features.

Authors:  Cameron Severn; Krithika Suresh; Carsten Görg; Yoon Seong Choi; Rajan Jain; Debashis Ghosh
Journal:  Sensors (Basel)       Date:  2022-07-12       Impact factor: 3.847

  1 in total

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