Skip to main content
Korean Journal of Radiology logoLink to Korean Journal of Radiology
. 2023 Jan 18;24(2):168–169. doi: 10.3348/kjr.2022.1000

Response to “Radiomic Models for Diagnosing Juvenile Myoclonic Epilepsy Should Note Its Genetic Heterogeneity”

Kyung Min Kim 1, Heewon Hwang 2, Beomseok Sohn 3,
PMCID: PMC9892214  PMID: 36725357

Dr. Finsterer mentioned the importance of genetic consideration in diagnosing juvenile myoclonic epilepsy (JME) using a radiomic model [1]. However, there are points of our study [2] that Dr. Finsterer’s remarks cannot be directly applied.

Currently, the genetic heterogeneity of JME is well-known [3,4]. Moreover, the phenotype of JME differs slightly. However, modes of inheritance are complex and the genetic mechanisms underlying JME are unclear. Additionally, diagnosis and treatment remain focused primarily on the characteristic features of the clinical condition. Numerous earlier studies, including imaging analysis, have been undertaken based on the common clinical characteristic of JME. Although accurate gene studies are not routinely required for treatment and diagnosis under the present clinical standard, it is worth inquiring about the feasibility and utility of a study that includes genetic variations.

Previously, the possible effects of anticonvulsants on the brain have been focuses. To use data that reflected the actual clinical environment, the decision was to enroll all patients, not only patients with drug-naivety. There may be difficulties in the study’s interpretation; hence, the fraction of drug-free participants was included in the publication.

As described previously, a neurologist and neuroradiologist visually confirmed the normal magnetic resonance imaging findings. The absence of structural abnormalities in 97 cases is a misinterpretation. We agree that it should play a role in differentiating JME from other forms of epilepsies; hence, additional study is currently underway.

Footnotes

Conflicts of Interest: The authors have no potential conflicts of interest to disclose.

Author Contributions:
  • Conceptualization: Kyung Min Kim, Beomseok Sohn.
  • Data curation: all authors.
  • Formal analysis: all authors.
  • Investigation: all authors.
  • Methodology: all authors.
  • Project administration: Beomseok Sohn.
  • Resources: all authors.
  • Software: all authors.
  • Supervision: Beomseok Sohn.
  • Validation: all authors.
  • Visualization: all authors.
  • Writing—original draft: Kyung Min Kim, Beomseok Sohn.
  • Writing—review & editing: all authors.

Funding Statement: None

References

  • 1.Finsterer J. Radiomic models for diagnosing juvenile myoclonic epilepsy should note its genetic heterogeneity. Korean J Radiol. 2023;24:166–167. doi: 10.3348/kjr.2022.0982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Kim KM, Hwang H, Sohn B, Park K, Han K, Ahn SS, et al. Development and validation of MRI-based radiomics models for diagnosing juvenile myoclonic epilepsy. Korean J Radiol. 2022;23:1281–1289. doi: 10.3348/kjr.2022.0539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Baykan B, Wolf P. Juvenile myoclonic epilepsy as a spectrum disorder: a focused review. Seizure. 2017;49:36–41. doi: 10.1016/j.seizure.2017.05.011. [DOI] [PubMed] [Google Scholar]
  • 4.Vorderwülbecke BJ, Wandschneider B, Weber Y, Holtkamp M. Genetic generalized epilepsies in adults-challenging assumptions and dogmas. Nat Rev Neurol. 2022;18:71–83. doi: 10.1038/s41582-021-00583-9. [DOI] [PubMed] [Google Scholar]

Articles from Korean Journal of Radiology are provided here courtesy of Korean Society of Radiology

RESOURCES