Neuromitochondrial DisordersGenomic Basis and an Algorithmic Approach to Imaging Diagnostics

被引:0
|
作者
Santhakumar Senthilvelan
Sabarish S. Sekar
Chandrasekharan Kesavadas
Bejoy Thomas
机构
[1] Sree Chitra Tirunal Institute for Medical Sciences and Technology,Department of IS&IR
来源
Clinical Neuroradiology | 2021年 / 31卷
关键词
Electron transport deficiencies; Imaging genomics; DNA, mitochondrial; Pattern recognition approach; Magnetic resonance imaging;
D O I
暂无
中图分类号
学科分类号
摘要
Mitochondrial disorders have been an enigma for a long time due to the varied clinical presentations. Although a genetic confirmation will be mandatory most of the time, half the number of Leigh syndrome would be negative for genetic mutations. There are a growing number of mutations in clinical practice, which escape detection on routine clinical exome sequencing. Imaging would render help in pointing towards a mitochondrial disorder. There are a few case reports which brief about specific mitochondrial mutations and their specific imaging appearance. This article tries to provide a comprehensive review on the imaging-genomic correlation of mitochondrial disorders with an objective of performing a specific genetic testing to arrive at an accurate diagnosis.
引用
收藏
页码:559 / 574
页数:15
相关论文
共 50 条
  • [1] Neuromitochondrial Disorders Genomic Basis and an Algorithmic Approach to Imaging Diagnostics
    Senthilvelan, Santhakumar
    Sekar, Sabarish S.
    Kesavadas, Chandrasekharan
    Thomas, Bejoy
    CLINICAL NEURORADIOLOGY, 2021, 31 (03) : 559 - 574
  • [2] IMAGING IN OSTEOMYELITIS - AN ALGORITHMIC APPROACH
    RODGERS, BM
    BARRON, BJ
    LAMKI, LM
    RADIOLOGY, 1995, 197 : 466 - 466
  • [3] An Overview of the Algorithmic Diagnostics Methodology: A Big Data Approach
    Kupusinac, Aleksandar
    Doroslovacki, Rade
    2018 ZOOMING INNOVATION IN CONSUMER TECHNOLOGIES CONFERENCE (ZINC), 2018, : 104 - 105
  • [4] An algorithmic approach to structural imaging in dementia
    Harper, Lorna
    Barkhof, Frederik
    Scheltens, Philip
    Schott, Jonathan M.
    Fox, Nick C.
    JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 2014, 85 (06): : 692 - 698
  • [5] AN ALGORITHMIC IMAGING APPROACH TO PERSISTENT NEONATAL JAUNDICE
    KIRKS, DR
    MERTEN, DF
    COLEMAN, RE
    FILSTON, HC
    ROSENBERG, ER
    AMERICAN JOURNAL OF ROENTGENOLOGY, 1983, 141 (04) : 849 - 849
  • [6] AN ALGORITHMIC IMAGING APPROACH TO PERSISTENT NEONATAL JAUNDICE
    KIRKS, DR
    MERTEN, DF
    COLEMAN, RE
    FILSTON, HC
    ROSENBERG, ER
    PEDIATRIC RADIOLOGY, 1984, 14 (03) : 182 - 182
  • [7] Imaging response assessment for oncology: An algorithmic approach
    Ruchalski, Kathleen
    Dewan, Rohit
    Sai, Victor
    McIntosh, Lacey J.
    Braschi-Amirfarzan, Marta
    EUROPEAN JOURNAL OF RADIOLOGY OPEN, 2022, 9
  • [8] An Algorithmic Approach to MR Imaging of Hypomyelinating Leukodystrophies
    Sharma, Smily
    Sundaram, Soumya
    Kesavadas, Chandrasekharan
    Thomas, Bejoy
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2025, 61 (04) : 1531 - 1551
  • [9] Mitigating Algorithmic Bias in AI-Driven Cardiovascular Imaging for Fairer Diagnostics
    Abu Sufian, Md
    Alsadder, Lujain
    Hamzi, Wahiba
    Zaman, Sadia
    Sagar, A. S. M. Sharifuzzaman
    Hamzi, Boumediene
    DIAGNOSTICS, 2024, 14 (23)
  • [10] MR imaging of the retrorectal–presacral tumors: an algorithmic approach
    Hooman Hosseini-Nik
    Keyanoosh Hosseinzadeh
    Rajesh Bhayana
    Kartik S. Jhaveri
    Abdominal Imaging, 2015, 40 : 2630 - 2644