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An image processing algorithm to aid diagnosis of mesial temporal sclerosis in children: a case-control study
Benjamin S Strnad1, Hilary L P Orlowski2, Matthew S Parsons2
1Mallinckrodt Institute of Radiology, Washington University School of Medicine, Campus Box 8131, 510 S Kingshighway Blvd., St. Louis, MO, 63110, USA. strnadb@wustl.edu.
Pediatric Radiology
|October 4, 2019
Summary
Correlative Image Enhancement (CIE) significantly improves MRI accuracy for diagnosing mesial temporal sclerosis (MTS) in children. This image processing technique enhances hippocampal signal abnormality detection, aiding in early epilepsy diagnosis and treatment.
Area of Science:
- Neurology
- Medical Imaging
- Pediatric Epilepsy
Background:
- Mesial temporal sclerosis (MTS) is a primary cause of intractable epilepsy, particularly challenging to diagnose in pediatric patients.
- Accurate and early diagnosis of MTS is crucial for effective, life-altering epilepsy treatments in children.
- Magnetic Resonance Imaging (MRI) is vital for MTS diagnosis, with image processing emerging as a key strategy to enhance accuracy.
Purpose of the Study:
- To evaluate the efficacy of the Correlative Image Enhancement (CIE) algorithm in improving the detection of MTS-related hippocampal signal abnormalities in pediatric patients.
- To assess the impact of CIE on image contrast-to-noise ratio and reader performance in identifying MTS.
Main Methods:
- A retrospective case-control study involving 27 pediatric MTS cases and 27 age-matched controls with normal MRIs.
- Coronal FLAIR MRI images were processed using the CIE algorithm by blinded investigators.
- Contrast-to-noise ratios were measured, and blinded reviewers assessed hippocampal signal abnormality and MTS status on processed and unprocessed images.
Main Results:
- CIE processing significantly increased signal intensity and contrast-to-noise ratio in 96.3% of pediatric MTS cases (P<0.001).
- Reader sensitivity for detecting abnormal signal intensity improved from 83.3% to 94.8% after CIE processing.
- While specificity remained high, CIE minimally improved overall reader sensitivity and specificity for MTS disease status detection.
Conclusions:
- The CIE image processing algorithm effectively enhances contrast-to-noise ratios in hippocampi affected by MTS.
- CIE improves reader performance in detecting MTS-related hippocampal signal abnormalities in children.
- This algorithm holds significant potential for improving the diagnostic work-up of pediatric patients with epilepsy.
