scholarly journals The Qualitative Scoring MMSE Pentagon Test (QSPT): A New Method for Differentiating Dementia with Lewy Body from Alzheimer’s Disease

2013 ◽  
Vol 27 (2) ◽  
pp. 213-220 ◽  
Author(s):  
Paolo Caffarra ◽  
Simona Gardini ◽  
Francesca Dieci ◽  
Sandra Copelli ◽  
Laura Maset ◽  
...  

The differential diagnosis across different variants of degenerative diseases is sometimes controversial. This study aimed to validate a qualitative scoring method for the pentagons copy test (QSPT) of Mini-Mental State Examination (MMSE) based on the assessment of different parameters of the pentagons drawing, such as number of angles, distance/intersection, closure/opening, rotation, closing-in, and to verify its efficacy to differentiate dementia with Lewy Body (DLB) from Alzheimer's disease (AD). We established the reliability of the qualitative scoring method through the inter-raters and intra-subjects analysis. QSPT was then applied to forty-six AD and forty-six DLB patients, using two phases statistical approach, standard and artificial neural network respectively. DLB patients had significant lower total score in the copy of pentagons and number of angles, distance/intersection, closure/opening, rotation compared to AD. However the logistic regression did not allow to establish any suitable modeling, whereas using Auto-Contractive Map (Auto-CM) the DLB was more strongly associated with low scores in some qualitative parameters of pentagon copying, i.e. number of angles and opening/closure and, for the remaining subitems of the MMSE, in naming, repetition and written comprehension, and for demographic variables of gender (male) and education (6–13 years). Twist system modeling showed that the QSPT had a good sensitivity (70.29%) and specificity (78.67%) (ROC-AUC 0.74). The proposed qualitative method of assessment of pentagons copying used in combination with non-linear analysis, showed to be consistent and effective in the differential diagnosis between Lewy Body and Alzheimer’s dementia.

Author(s):  
Stefano Delli Pizzi ◽  
Raffaella Franciotti ◽  
John-Paul Taylor ◽  
Roberto Esposito ◽  
Armando Tartaro ◽  
...  

Author(s):  
John R. Hodges

This chapter comprises case histories written in short note form that illustrate the method of assessment previously described and the use of the ACE-R. It does not attempt a comprehensive coverage of all cognitive disorders, but has a selected number of recent cases with either important common conditions (such as Alzheimer’s disease) or interesting neuropsychological syndromes (such as prosopagnosia). Each case history is followed by a description of the findings on cognitive assessment, a brief differential diagnosis, and a summary of the principal conclusions, indicating whether the services of a neuropsychologist are required or not.


2019 ◽  
Vol 30 (3) ◽  
pp. 157-168
Author(s):  
Helmut Hildebrandt ◽  
Jana Schill ◽  
Jana Bördgen ◽  
Andreas Kastrup ◽  
Paul Eling

Abstract. This article explores the possibility of differentiating between patients suffering from Alzheimer’s disease (AD) and patients with other kinds of dementia by focusing on false alarms (FAs) on a picture recognition task (PRT). In Study 1, we compared AD and non-AD patients on the PRT and found that FAs discriminate well between these groups. Study 2 served to improve the discriminatory power of the FA score on the picture recognition task by adding associated pairs. Here, too, the FA score differentiated well between AD and non-AD patients, though the discriminatory power did not improve. The findings suggest that AD patients show a liberal response bias. Taken together, these studies suggest that FAs in picture recognition are of major importance for the clinical diagnosis of AD.


2021 ◽  
Author(s):  
Kyoungwon Baik ◽  
Jin‐Ju Yang ◽  
Jin Ho Jung ◽  
Yang Hyun Lee ◽  
Seok Jong Chung ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document