4.4 Article

Combining semi-quantitative rating and automated brain volumetry in MRI evaluation of patients with probable behavioural variant of fronto-temporal dementia: an added value for clinical practise?

Journal

NEURORADIOLOGY
Volume -, Issue -, Pages -

Publisher

SPRINGER
DOI: 10.1007/s00234-023-03133-w

Keywords

Behavioural variant of frontotemporal dementia (bvFTD); Neuroradiology; Magnetic resonance imaging; Brain atrophy; Brain volumetry

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The study aimed to evaluate the diagnostic value of combined semiquantitative and quantitative assessment of brain atrophy in the diagnosis of bvFTD. The results showed that combining the two assessment methods can improve the evaluation of brain atrophy and reduce diagnostic discrepancies among different readers.
PurposeTo evaluate the diagnostic value of combined semiquantitative and quantitative assessment of brain atrophy in the diagnostic workup of the behavioural-variant of frontotemporal dementia (bvFTD).MethodsThree neuroradiologists defined brain atrophy grading and identified atrophy pattern suggestive of bvFTD on 3D-T1 brain MRI of 112 subjects using a semiquantitative rating scale (Kipps'). A quantitative atrophy assessment was performed using two different automated software (Quantib (R) ND and Icometrix (R)). A combined semiquantitative and quantitative assessment of brain atrophy was made to evaluate the improvement in brain atrophy grading to identify probable bvFTD patients.ResultsObservers' performances in the diagnosis of bvFTD were very good for Observer 1 (k value = 0.881) and 2 (k value = 0.867), substantial for Observer 3 (k value = 0.741). Semiquantitative atrophy grading of all the observers showed a moderate and a poor correlation with the volume values calculated by Icometrix (R) and by Quantib (R) ND, respectively. For the definition of neuroradiological signs presumptive of bvFTD, the use of Icometrix (R) software improved the diagnostic accuracy for Observer 1 resulting in an AUC of 0.974, and for Observer 3 resulting in a AUC of 0.971 (p-value < 0.001). The use of Quantib (R) ND software improved the diagnostic accuracy for Observer 1 resulting in an AUC of 0.974, and for Observer 3 resulting in a AUC of 0.977 (p-value < 0.001). No improvement was observed for Observer 2.ConclusionCombining semiquantitative and quantitative brain imaging evaluation allows to reduce discrepancies in the neuroradiological diagnostic workup of bvFTD by different readers.

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