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Purpose <p>This study compared two image post-processing toolboxes primarily designed for focal cortical dysplasia (FCD): Multi-Centre Epilepsy Lesion Detection (MELD) and Morphometric Analysis Program (MAP18), in identifying temporal lobe epilepsy (TLE) structural lesions on MRI.</p> Methods <p>This retrospective study examined 79 adults, 58 patients with confirmed TLE, and 21 healthy controls. All participants underwent an elective brain MRI between June 2007 – May 2023 at Hospital Clinic, Barcelona, Spain. All the 3D T1-weighted images were processed using MELD and MAP18 to detect potential epileptogenic lesions. The location (lateral or mesial) and laterality of the reference TLE structural lesion (refTLE) were determined through histopathology or multidisciplinary consensus based on clinical data. Toolboxes’ performance was evaluated using descriptive statistics, specificity, and diagnostic accuracy. Additionally, a second-look MRI was conducted for cases where abnormalities detected by MELD and MAP18 did not match the refTLE.</p> Results <p>MELD and MAP18 demonstrated variability in specificity and diagnostic accuracy. Specificity ranged from 48% to 86%, with ProbMAP (MAP18) achieving the highest values. Global diagnostic accuracy ranged from 7% to 42%, with MELD showing the highest performance. In four patients with visible epileptogenic lesions on MRI, MELD and MAP18 identified additional abnormalities that were previously overlooked. Moreover, MELD detected one TLE lesion in one patient initially classified as MRI–negative (nonlesional).</p> Conclusion <p>Incorporating tools like MELD and MAP18 into the diagnostic workflow can enhance the detection of TLE-related abnormalities on MRI, potentially improving patient outcomes and aiding in clinical decision-making.</p>

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Potential role of MELD and MAP18 in patients with structural temporal lobe epilepsy

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月5日

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  • Francesca De Luca,
  • Jose Carlos Pariente,
  • Sofia González-Ortiz,
  • Estefanía Conde-Blanco,
  • Mar Carreño,
  • Xavier Setoain,
  • Nuria Bargalló

摘要

Purpose

This study compared two image post-processing toolboxes primarily designed for focal cortical dysplasia (FCD): Multi-Centre Epilepsy Lesion Detection (MELD) and Morphometric Analysis Program (MAP18), in identifying temporal lobe epilepsy (TLE) structural lesions on MRI.

Methods

This retrospective study examined 79 adults, 58 patients with confirmed TLE, and 21 healthy controls. All participants underwent an elective brain MRI between June 2007 – May 2023 at Hospital Clinic, Barcelona, Spain. All the 3D T1-weighted images were processed using MELD and MAP18 to detect potential epileptogenic lesions. The location (lateral or mesial) and laterality of the reference TLE structural lesion (refTLE) were determined through histopathology or multidisciplinary consensus based on clinical data. Toolboxes’ performance was evaluated using descriptive statistics, specificity, and diagnostic accuracy. Additionally, a second-look MRI was conducted for cases where abnormalities detected by MELD and MAP18 did not match the refTLE.

Results

MELD and MAP18 demonstrated variability in specificity and diagnostic accuracy. Specificity ranged from 48% to 86%, with ProbMAP (MAP18) achieving the highest values. Global diagnostic accuracy ranged from 7% to 42%, with MELD showing the highest performance. In four patients with visible epileptogenic lesions on MRI, MELD and MAP18 identified additional abnormalities that were previously overlooked. Moreover, MELD detected one TLE lesion in one patient initially classified as MRI–negative (nonlesional).

Conclusion

Incorporating tools like MELD and MAP18 into the diagnostic workflow can enhance the detection of TLE-related abnormalities on MRI, potentially improving patient outcomes and aiding in clinical decision-making.