Skip to main content

Advertisement

SpringerLink
Log in

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium

  • Diagnostic Neuroradiology
  • Published:
Neuroradiology Aims and scope Submit manuscript

Abstract

Purpose

While the T2-FLAIR mismatch sign is highly specific for isocitrate dehydrogenase (IDH)-mutant, 1p/19q-noncodeleted astrocytomas among lower-grade gliomas, its utility in WHO grade 4 gliomas is not well-studied. We derived the partial T2-FLAIR mismatch sign as an imaging biomarker for IDH mutation in WHO grade 4 gliomas.

Methods

Preoperative MRI scans of adult WHO grade 4 glioma patients (n = 2165) from the multi-institutional ReSPOND (Radiomics Signatures for PrecisiON Diagnostics) consortium were analyzed. Diagnostic performance of the partial T2-FLAIR mismatch sign was evaluated. Subset analyses were performed to assess associations of imaging markers with overall survival (OS).

Results

One hundred twenty-one (5.6%) of 2165 grade 4 gliomas were IDH-mutant. Partial T2-FLAIR mismatch was present in 40 (1.8%) cases, 32 of which were IDH-mutant, yielding 26.4% sensitivity, 99.6% specificity, 80.0% positive predictive value, and 95.8% negative predictive value. Multivariate logistic regression demonstrated IDH mutation was significantly associated with partial T2-FLAIR mismatch (odds ratio [OR] 5.715, 95% CI [1.896, 17.221], p = 0.002), younger age (OR 0.911 [0.895, 0.927], p < 0.001), tumor centered in frontal lobe (OR 3.842, [2.361, 6.251], p < 0.001), absence of multicentricity (OR 0.173, [0.049, 0.612], p = 0.007), and presence of cystic (OR 6.596, [3.023, 14.391], p < 0.001) or non-enhancing solid components (OR 6.069, [3.371, 10.928], p < 0.001). Multivariate Cox analysis demonstrated cystic components (p = 0.024) and non-enhancing solid components (p = 0.003) were associated with longer OS, while older age (p < 0.001), frontal lobe center (p = 0.008), multifocality (p < 0.001), and multicentricity (p < 0.001) were associated with shorter OS.

Conclusion

Partial T2-FLAIR mismatch sign is highly specific for IDH mutation in WHO grade 4 gliomas.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Data Availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  1. Louis DN, Perry A, Wesseling P et al (2021) The 2021 WHO classification of tumors of the central nervous system: a summary. Neuro Oncol 23(8):1231–1251

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Parsons DW, Jones S, Zhang X et al (2008) An integrated genomic analysis of human glioblastoma multiforme. Science 321(5897):1807–1812

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Beiko J, Suki D, Hess KR et al (2014) IDH1 mutant malignant astrocytomas are more amenable to surgical resection and have a survival benefit associated with maximal surgical resection. Neuro Oncol 16(1):81–91

    Article  CAS  PubMed  Google Scholar 

  4. Patel SH, Poisson LM, Brat DJ et al (2017) T2-FLAIR mismatch, an imaging biomarker for IDH and 1p/19q status in lower-grade gliomas: a TCGA/TCIA project. Clin Cancer Res 23(20):6078–6085

    Article  CAS  PubMed  Google Scholar 

  5. Broen MPG, Smits M, Wijnenga MMJ et al (2018) The T2-FLAIR mismatch sign as an imaging marker for non-enhancing IDH-mutant, 1p/19q-intact lower-grade glioma: a validation study. Neuro Oncol 20(10):1393–1399

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Jain R, Johnson DR, Patel SH et al (2020) “Real world” use of a highly reliable imaging sign: “T2-FLAIR mismatch” for identification of IDH mutant astrocytomas. Neuro Oncol 22(7):936–943

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Do YA, Cho SJ, Choi BS et al (2022) Predictive accuracy of T2-FLAIR mismatch sign for the IDH-mutant, 1p/19q noncodeleted low-grade glioma: an updated systematic review and meta-analysis. Neurooncol Adv 4(1):vdac010

    PubMed  PubMed Central  Google Scholar 

  8. Han Z, Chen Q, Zhang L, et al. (2022) Radiogenomic association between the T2-FLAIR mismatch sign and IDH mutation status in adult patients with lower-grade gliomas: an updated systematic review and meta-analysis. Eur Radiol

  9. Foltyn M, Nieto Taborda KN, Neuberger U et al (2020) T2/FLAIR-mismatch sign for noninvasive detection of IDH-mutant 1p/19q non-codeleted gliomas: validity and pathophysiology. Neurooncol Adv 2(1):vdaa004

    PubMed  PubMed Central  Google Scholar 

  10. Patel SH, Batchala PP, Muttikkal TJE et al (2021) Fluid attenuation in non-contrast-enhancing tumor (nCET): an MRI Marker for Isocitrate Dehydrogenase (IDH) mutation in Glioblastoma. J Neurooncol 152(3):523–531

    Article  CAS  PubMed  Google Scholar 

  11. Davatzikos C, Barnholtz-Sloan JS, Bakas S et al (2020) AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortium. Neuro Oncol 22(6):886–888

    Article  PubMed  PubMed Central  Google Scholar 

  12. Menze BH, Jakab A, Bauer S et al (2015) The multimodal brain tumor image segmentation benchmark (BRATS). IEEE Trans Med Imaging 34(10):1993–2024

    Article  PubMed  Google Scholar 

  13. Pati S, Baid U, Edwards B et al (2022) Federated learning enables big data for rare cancer boundary detection. Nat Commun 13(1):7346

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Rohlfing T, Zahr NM, Sullivan EV, Pfefferbaum A (2010) The SRI24 multichannel atlas of normal adult human brain structure. Hum Brain Mapp 31(5):798–819

    Article  PubMed  Google Scholar 

  15. Lasocki A, Gaillard F (2019) Non-contrast-enhancing tumor: a new frontier in glioblastoma research. AJNR Am J Neuroradiol 40(5):758–765

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. VASARI Research Project. https://wiki.cancerimagingarchive.net/display/Public/VASARI+Research+Project. Accessed 8/17/2022.

  17. Chang K, Bai HX, Zhou H et al (2018) Residual convolutional neural network for the determination of IDH status in low- and high-grade gliomas from MR imaging. Clin Cancer Res 24(5):1073–1081

    Article  CAS  PubMed  Google Scholar 

  18. Choi YS, Bae S, Chang JH et al (2021) Fully automated hybrid approach to predict the IDH mutation status of gliomas via deep learning and radiomics. Neuro Oncol 23(2):304–313

    Article  CAS  PubMed  Google Scholar 

  19. Jian A, Jang K, Manuguerra M, Liu S, Magnussen J, Di Ieva A (2021) Machine learning for the prediction of molecular markers in glioma on magnetic resonance imaging: a systematic review and meta-analysis. Neurosurgery 89(1):31–44

    Article  PubMed  Google Scholar 

  20. Calabrese E, Rudie JD, Rauschecker AM et al (2022) Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma. Neurooncol Adv 4(1):vdac060

    PubMed  PubMed Central  Google Scholar 

  21. Mohammed S, Ravikumar V, Warner E et al (2022) Quantifying T2-FLAIR mismatch using geographically weighted regression and predicting molecular status in lower-grade gliomas. AJNR Am J Neuroradiol 43(1):33–39

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Pope WBSJ, Perlina A, Villablanca JP, Mischel PS, Cloughesy TF (2005) MR Imaging correlates of survival in patients with high-grade gliomas. AJNR Am J Neuroradiol 26:2466–2474

    PubMed  PubMed Central  Google Scholar 

  23. Lasocki A, Gaillard F, Tacey M, Drummond K, Stuckey S (2016) Incidence and prognostic significance of non-enhancing cortical signal abnormality in glioblastoma. J Med Imaging Radiat Oncol 60(1):66–73

    Article  PubMed  Google Scholar 

  24. Carrillo JA, Lai A, Nghiemphu PL et al (2012) Relationship between tumor enhancement, edema, IDH1 mutational status, MGMT promoter methylation, and survival in glioblastoma. AJNR Am J Neuroradiol 33(7):1349–1355

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Han S, Liu Y, Cai SJ et al (2020) IDH mutation in glioma: molecular mechanisms and potential therapeutic targets. Br J Cancer 122(11):1580–1589

    Article  PubMed  PubMed Central  Google Scholar 

  26. Deguchi S, Oishi T, Mitsuya K et al (2020) Clinicopathological analysis of T2-FLAIR mismatch sign in lower-grade gliomas. Sci Rep 10(1):10113

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Suh CH, Kim HS, Jung SC, Choi CG, Kim SJ (2018) Clinically relevant imaging features for MGMT promoter methylation in multiple glioblastoma studies: a systematic review and meta-analysis. AJNR Am J Neuroradiol 39(8):1439–1445

    CAS  PubMed  PubMed Central  Google Scholar 

  28. Yogananda CGB, Shah BR, Nalawade SS et al (2021) MRI-based deep-learning method for determining glioma MGMT promoter methylation status. AJNR Am J Neuroradiol 42(5):845–852

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Kinoshita M, Arita H, Takahashi M et al (2020) Impact of inversion time for FLAIR acquisition on the T2-FLAIR mismatch detectability for IDH-mutant, non-CODEL astrocytomas. Front Oncol 10:596448

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

This study was previously presented as a poster at the Society for Neuro-Oncology annual meeting in Tampa, Florida on November 18, 2022, and as an oral presentation at the Radiological Society of North America annual meeting in Chicago, Illinois on November 27, 2022.

The ReSPOND Consortium also includes: Stephen J. Bagley1,2, Michel Bilello3,4, Steven Brem5,1, Ujjwal Baid3,6, Arati S. Desai1,2, Robert A. Lustig7, Elizabeth Mamourian3,6, Anahita Fathi Kazerooni8,9,3, Jose A. Garcia3,6, Donald M. O’Rourke5,1, Zev A. Binder1, Mikhail Milchenko10, Arash Nazeri10, Aris Sotiras10, Murat Ak11, Jaume Capellades12, Josep Puig13, Sung Soo Ahn14, Jong Hee Chang15,16, Seung-Koo Lee14, Yae Won Park14, Vachan Vadmal17, Kristin A. Waite18, Sree Gongala19, Alysha Chelliah20, Golestan Karami20, Gregory S. Alexander21, Ayesha S. Ali22, Spencer Liem22, Joseph Lombardo22,23, Gaurav Shukla22,24,3, Muhammad Sharif22, Lisa R. Rogers25, William Taylor26, Santiago Cepeda27, Aikaterini Kotrotsou28, Hassan Fathallah-Shaykh29, Orazio Santo Santonocito30, Anna Luisa Di Stefano30, Aaron M. Rulseh31, Yuji Matsumoto32, Kimberley Alexander33,34,35, Laveniya Satgunaseelan36, Benedikt Wiestler37, Rao P. Gullapalli38, Elias R. Melhem38, Graeme F. Woodworth38,39, Peter I. Kamel40, Victor M. Perez-Garcia41, Alekos Vamvakas42, Yiannis Tsougos42, Pablo Valdes43, Pallavi Tiwari44, Mariam Aboian45,46,47

1Glioblastoma Multiforme Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

2Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

3Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA

4Department of Radiology, Division of Neuroradiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

5Department of Neurosurgery, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

6Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

7Department of Radiation Oncology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

8Center for Data Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA, USA

9Center for AI and Data Science for Integrated Diagnostics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

10Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA

11Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA

12Department of Medical Imaging, Consorci MAR Parc de Salut, Barcelona, Spain

13Research Unit (IDIR) Image Diagnosis Institute, Badalona, Spain

14Department of Radiology, Section of Neuroradiology, Yonsei University Health System, Seoul, South Korea

15Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea

16Brain Tumor Center, Severance Hospital, Yonsei University Health System, Seoul, South Korea

17Department of Population and Quantitative Health Sciences, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH, USA

18Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA

19Department of Radiology, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH, USA

20School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK

21Department of Radiation Oncology, University of Maryland, Baltimore, MD, USA

22Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA

23Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA

24Department of Radiation Oncology, Christiana Care Health System, Philadelphia, PA, USA

25Department of Neurosurgery, Hermelin Brain Tumor Center, Henry Ford Cancer Institute, Henry Ford Health, Detroit, MI, USA

26Department of Radiation Oncology and Neurosurgery, The James Cancer Hospital at the Ohio State University Wexner Medical Center, Columbus, OH, USA

27Department of Neurosurgery, University Hospital Río Hortega, Valladolid, Spain

28MD Anderson Cancer Center, University of Texas, Houston, TX, USA

29Department of Neurology, The University of Alabama at Birmingham, Birmingham, AL, USA

30Division of Neurosurgery, Spedali Riuniti di Livorno-Azienda USL Toscana Nord-Ovest, Livorno, Italy

31Department of Radiology, Na Homolce Hospital, Prague, Czech Republic

32Department of Neurological Surgery, Okayama University, Okayama, Japan

33Chris O’Brien Lifehouse, Camperdown, Australia

34University of Sydney, Camperdown, Australia

35Sydney Local Health District, Camperdown, Australia

36Department of Pathology Services, Royal Prince Alfred Hospital, Camperdown, Australia

37Department of Neuroradiology, Technical University of Munich, Munchen, Germany

38Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA

39Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA

40Department of Diagnostic Radiology and Nuclear Medicine, Intelligent Imaging (UM2ii) Center, University of Maryland School of Medicine, Baltimore, MD, USA

41Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, Spain

42Medical School of the University of Thessaly, Larissa, Greece

43University of Texas Medical Branch, Galveston, TX, USA

44Department of Radiology and Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA

45Clinical Advanced Image Processing Lab (CAIP), Yale School of Medicine, New Haven, CT, USA

46Brain Tumor Research Group (ImagineQuant), Yale School of Medicine, New Haven, CT, USA

47Section of Neuroradiology and Nuclear Medicine, Yale School of Medicine, New Haven, CT, USA

ORCIDs: Stephen J. Bagley, https://orcid.org/0000-0002-7117-0539; Michel Bilello, https://orcid.org/0000-0001-6313-5437; Steven Brem, https://orcid.org/0000-0002-5803-8920; Ujjwal Baid, https://orcid.org/0000-0001-5246-2088; Arati S. Desai, https://orcid.org/0000-0002-4849-4703; Robert A. Lustig, https://orcid.org/0000-0003-0633-3802; Elizabeth Mamourian, http://orcid.org/0000-0001-8581-4887; Anahita Fathi Kazerooni, https://orcid.org/0000-0001-7131-2261; Donald M. O’Rourke, https://orcid.org/0000-0002-8479-7314; Zev A. Binder, https://orcid.org/0000-0003-1158-231X; Mikhail Milchenko, https://orcid.org/0000-0002-4022-1081; Arash Nazeri, https://orcid.org/0000-0001-6983-0641; Aris Sotiras, https://orcid.org/0000-0003-0795-8820; Murat Ak, https://orcid.org/0000-0001-7384-478X; Jaume Capellades, https://orcid.org/0000-0002-1417-4496; Josep Puig, https://orcid.org/0000-0003-2791-6599; Sung Soo Ahn, https://orcid.org/0000-0002-0503-5558; Jong Hee Chang, https://orcid.org/0000-0003-1509-9800; Seung-Koo Lee, https://orcid.org/0000-0001-5646-4072; Yae Won Park, https://orcid.org/0000-0001-8907-5401; Kristin A. Waite, https://orcid.org/0000-0002-3186-8510; Alysha Chelliah, https://orcid.org/0000-0003-0867-1565; Golestan Karami, https://orcid.org/0000-0002-8107-3812; Gregory S. Alexander, http://orcid.org/0000-0003-1907-7828; Santiago Cepeda, https://orcid.org/0000-0003-1667-8548; Aikaterini Kotrotsou, https://orcid.org/0000-0002-0433-7159; Hassan Fathallah-Shaykh, https://orcid.org/0000-0002-2690-7685; Orazio Santo Santonocito, https://orcid.org/0000-0002-1071-7166; Anna Luisa Di Stefano, https://orcid.org/0000-0003-1746-0647; Aaron M. Rulseh, https://orcid.org/0000-0002-8332-4419; Yuji Matsumoto, https://orcid.org/0000-0001-8798-381X; Kimberley Alexander, https://orcid.org/0000-0002-7239-039X; Laveniya Satgunaseelan, https://orcid.org/0000-0002-7435-0834; Benedikt Wiestler, https://orcid.org/0000-0002-2963-7772; Rao P. Gullapalli, https://orcid.org/0000-0003-0551-0379; Victor M. Perez-Garcia, https://orcid.org/0000-0002-6575-495X; Yiannis Tsougos, https://orcid.org/0000-0002-5204-5273; Pallavi Tiwari, https://orcid.org/0000-0001-9477-4856; Mariam Aboian, https://orcid.org/0000-0002-4877-8271

Funding

This project was partially supported by National Institutes of Health/National Cancer Institute (R01CA269948).

Author information

Authors and Affiliations

  1. Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA

    Matthew D. Lee & Rajan Jain

  2. Department of Radiology, University of Virginia School of Medicine, Charlottesville, VA, USA

    Sohil H. Patel

  3. Department of Radiology, Division of Neuroradiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

    Suyash Mohan

  4. Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA

    Hamed Akbari, Spyridon Bakas & Christos Davatzikos

  5. Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

    Hamed Akbari, Spyridon Bakas & Christos Davatzikos

  6. Department of Pathology and Laboratory Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

    Spyridon Bakas & MacLean P. Nasrallah

  7. Glioblastoma Multiforme Translational Center of Excellence, Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

    MacLean P. Nasrallah

  8. Department of Radiology, Division of Neuroradiology, Duke University, Durham, NC, USA

    Evan Calabrese

  9. Department of Radiology, University of California San Diego, San Diego, CA, USA

    Jeffrey Rudie

  10. Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA

    Javier Villanueva-Meyer

  11. Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA

    Pamela LaMontagne & Daniel S. Marcus

  12. Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA

    Rivka R. Colen

  13. Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, USA

    Rivka R. Colen

  14. Medical Oncology Department, Catalan Institute of Oncology (ICO), Barcelona, Spain

    Carmen Balana

  15. Department of Radiology, Section of Neuroradiology, Yonsei University Health System, Seoul, South Korea

    Yoon Seong Choi

  16. Department of Radiology, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH, USA

    Chaitra Badve

  17. Center for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, MD, USA

    Jill S. Barnholtz-Sloan

  18. Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA

    Jill S. Barnholtz-Sloan

  19. Department of Neurosurgery, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH, USA

    Andrew E. Sloan

  20. Seidman Cancer Center and Case Comprehensive Cancer Center, Cleveland, OH, USA

    Andrew E. Sloan

  21. School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK

    Thomas C. Booth

  22. Department of Neuroradiology, King’s College Hospital NHS Foundation Trust, Ruskin WingLondon, UK

    Thomas C. Booth

  23. Department of Radiation Oncology and Neurosurgery, The James Cancer Hospital at the Ohio State University Wexner Medical Center, Columbus, OH, USA

    Joshua D. Palmer & Arnab Chakravarti

  24. Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA

    Adam P. Dicker & Wenyin Shi

  25. Department of Radiology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA

    Adam E. Flanders

  26. Department of Radiology, Henry Ford Health, Detroit, MI, USA

    Brent Griffith

  27. Department of Public Health Sciences, Center for Bioinformatics, Henry Ford Health, Detroit, MI, USA

    Laila M. Poisson

  28. The Clatterbridge Cancer Centre NHS Foundation Trust, Liverpool, UK

    Abhishek Mahajan

  29. Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA

    Susan Chang

  30. Department of Neurosurgery, NYU Grossman School of Medicine, New York, NY, USA

    Daniel Orringer & Rajan Jain

  31. Department of Pathology, NYU Grossman School of Medicine, New York, NY, USA

    Daniel Orringer

  32. Center for AI and Data Science for Integrated Diagnostics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA

    Christos Davatzikos

Authors
  1. Matthew D. Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sohil H. Patel
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Suyash Mohan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hamed Akbari
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Spyridon Bakas
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. MacLean P. Nasrallah
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Evan Calabrese
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Jeffrey Rudie
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Javier Villanueva-Meyer
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Pamela LaMontagne
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Daniel S. Marcus
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Rivka R. Colen
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Carmen Balana
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Yoon Seong Choi
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Chaitra Badve
    View author publications

    You can also search for this author in PubMed Google Scholar

  16. Jill S. Barnholtz-Sloan
    View author publications

    You can also search for this author in PubMed Google Scholar

  17. Andrew E. Sloan
    View author publications

    You can also search for this author in PubMed Google Scholar

  18. Thomas C. Booth
    View author publications

    You can also search for this author in PubMed Google Scholar

  19. Joshua D. Palmer
    View author publications

    You can also search for this author in PubMed Google Scholar

  20. Adam P. Dicker
    View author publications

    You can also search for this author in PubMed Google Scholar

  21. Adam E. Flanders
    View author publications

    You can also search for this author in PubMed Google Scholar

  22. Wenyin Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  23. Brent Griffith
    View author publications

    You can also search for this author in PubMed Google Scholar

  24. Laila M. Poisson
    View author publications

    You can also search for this author in PubMed Google Scholar

  25. Arnab Chakravarti
    View author publications

    You can also search for this author in PubMed Google Scholar

  26. Abhishek Mahajan
    View author publications

    You can also search for this author in PubMed Google Scholar

  27. Susan Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

  28. Daniel Orringer
    View author publications

    You can also search for this author in PubMed Google Scholar

  29. Christos Davatzikos
    View author publications

    You can also search for this author in PubMed Google Scholar

  30. Rajan Jain
    View author publications

    You can also search for this author in PubMed Google Scholar

Consortia

the ReSPOND Consortium

  • Stephen J. Bagley
  • , Michel Bilello
  • , Steven Brem
  • , Ujjwal Baid
  • , Arati S. Desai
  • , Robert A. Lustig
  • , Elizabeth Mamourian
  • , Anahita Fathi Kazerooni
  • , Jose A. Garcia
  • , Donald M. O’Rourke
  • , Zev A. Binder
  • , Mikhail Milchenko
  • , Arash Nazeri
  • , Aris Sotiras
  • , Murat Ak
  • , Jaume Capellades
  • , Josep Puig
  • , Sung Soo Ahn
  • , Jong Hee Chang
  • , Seung-Koo Lee
  • , Yae Won Park
  • , Vachan Vadmal
  • , Kristin A. Waite
  • , Sree Gongala
  • , Alysha Chelliah
  • , Golestan Karami
  • , Gregory S. Alexander
  • , Ayesha S. Ali
  • , Spencer Liem
  • , Joseph Lombardo
  • , Gaurav Shukla
  • , Muhammad Sharif
  • , Lisa R. Rogers
  • , William Taylor
  • , Santiago Cepeda
  • , Aikaterini Kotrotsou
  • , Hassan Fathallah-Shaykh
  • , Orazio Santo Santonocito
  • , Anna Luisa Di Stefano
  • , Aaron M. Rulseh
  • , Yuji Matsumoto
  • , Kimberley Alexander
  • , Laveniya Satgunaseelan
  • , Benedikt Wiestler
  • , Rao P. Gullapalli
  • , Elias R. Melhem
  • , Graeme F. Woodworth
  • , Peter I. Kamel
  • , Victor M. Perez-Garcia
  • , Alekos Vamvakas
  • , Yiannis Tsougos
  • , Pablo Valdes
  • , Pallavi Tiwari
  •  & Mariam Aboian

Corresponding author

Correspondence to Matthew D. Lee.

Ethics declarations

Ethics approval

This study was approved by the appropriate institutional research boards.

Informed consent

Informed consent was waived.

Conflict of interest

The authors declare no that they have no conflict of interest.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 18 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lee, M.D., Patel, S.H., Mohan, S. et al. Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium. Neuroradiology 65, 1343–1352 (2023). https://doi.org/10.1007/s00234-023-03196-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00234-023-03196-9

Keywords

Search

Navigation