scholarly journals Striatal dopamine transporter SPECT quantification: head-to-head comparison between two three-dimensional automatic tools

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Silvia Morbelli ◽  
Dario Arnaldi ◽  
Eugenia Cella ◽  
Stefano Raffa ◽  
Maria Isabella Donegani ◽  
...  

Abstract Purpose Our aim was to compare a widely distributed commercial tool with an older free software (i) one another, (ii) with a clinical motor score, (iii) versus reading by experts. Procedures We analyzed consecutive scans from one-hundred and fifty-one outpatients submitted to brain DAT SPECT for a suspected parkinsonism. Images were post-processed using a commercial (Datquant®) and a free (BasGanV2) software. Reading by expert was the gold standard. A subset of patients with pathological or borderline scan was evaluated with the clinical Unified Parkinson’s Disease Rating Scale, motor part (MDS-UPDRS-III). Results SBR, putamen-to-caudate (P/C) ratio, and both P and C asymmetries were highly correlated between the two software with Pearson’s ‘r’ correlation coefficients ranging from .706 to .887. Correlation coefficients with the MDS-UPDRS III score were higher with caudate than with putamen SBR values with both software, and in general higher with BasGanV2 than with Datquant®. Datquant® correspondence with expert reading was 84.1% (94.0% by additionally considering the P/C ratio as a further index). BasGanV2 correspondence with expert reading was 80.8% (86.1% by additionally considering the P/C ratio). Conclusions Both Datquant® and BasGanV2 work reasonably well and similarly one another in semi-quantification of DAT SPECT. Both tools have their own strength and pitfalls that must be known in detail by users in order to obtain the best help in visual reading and reporting of DAT SPECT.

2020 ◽  
Author(s):  
Silvia Morbelli ◽  
Dario Arnaldi ◽  
Eugenia Cella ◽  
Stefano Raffa ◽  
Isabella Donegani ◽  
...  

Abstract Purpose. Our aim was the head-to-head comparison between two automatic tools for semi-quantification of striatal dopamine transporter (DAT) specific-to-non displaceable (SBR) ratio brain SPECT values in a naturalistic cohort of patients. Procedures. We analyzed consecutive scans from one-hundred and fifty-one outpatients submitted to brain DAT SPECT for a suspected parkinsonism. Images were post-processed using a commercial (Datquant®) and a free (BasGanV2) software. Reading by expert was the gold-standard. A subset of patients with pathological or borderline scan was evaluated with the clinical Unified Parkinson’s disease rating scale, motor part (MDS-UPDRS-III). Results. SBR, putamen-to-caudate (P/C) ratio, and both P and C asymmetries were highly correlated between the two software with Pearson’s ‘r’ correlation coefficients ranging from .706 to .887. Correlation coefficients with the MDS-UPDRS III score were higher with caudate than with putamen SBR values with both software, and in general higher with BasGanV2 than with Datquant® . Datquant® correspondence with expert reading was 84.1% (94.0% by additionally considering the P/C ratio as a further index). BasGanV2 correspondence with expert reading was 80.8% (86.1% by additionally considering the P/C ratio). Conclusions. Both Datquant® and BasGanV2 work reasonably well and similarly one another in semi-quantification of DAT SPECT. Both tools have their own strength and pitfalls that must be known in detail by users in order to obtain the best help in visual reading and reporting of DAT SPECT.


2020 ◽  
Author(s):  
Silvia Morbelli ◽  
Dario Arnaldi ◽  
Eugenia Cella ◽  
Stefano Raffa ◽  
Isabella Donegani ◽  
...  

Abstract Purpose. Our aim was the head-to-head comparison between two automatic tools for semi-quantification of striatal dopamine transporter (DAT) specific-to-non displaceable (SBR) ratio brain SPECT values in a naturalistic cohort of patients. Procedures. We analyzed consecutive scans from one-hundred and fifty-one outpatients submitted to brain DAT SPECT for a suspected parkinsonism. Images were post-processed using a commercial (Datquant®) and a free (BasGanV2) software. Reading by expert was the gold-standard. A subset of patients with pathological or borderline scan was evaluated with the clinical Unified Parkinson’s disease rating scale, motor part (MDS-UPDRS-III). Results. SBR, putamen-to-caudate (P/C) ratio, and both P and C asymmetries were highly correlated between the two software with Pearson’s ‘r’ correlation coefficients ranging from .706 to .887. Correlation coefficients with the MDS-UPDRS III score were higher with caudate than with putamen SBR values with both software, and in general higher with BasGanV2 than with Datquant® . Datquant® correspondence with expert reading was 84.1% (94.0% by additionally considering the P/C ratio as a further index). BasGanV2 correspondence with expert reading was 80.8% (86.1% by additionally considering the P/C ratio). Conclusions. Both Datquant® and BasGanV2 work reasonably well and similarly one another in semi-quantification of DAT SPECT. Both tools have their own strength and pitfalls that must be known in detail by users in order to obtain the best help in visual reading and reporting of DAT SPECT.


2020 ◽  
Author(s):  
Silvia Morbelli ◽  
Dario Arnaldi ◽  
Eugenia Cella ◽  
Stefano Raffa ◽  
Isabella Donegani ◽  
...  

Abstract Purpose. Our aim was the head-to-head comparison between two automatic tools for semi-quantification of striatal dopamine transporter (DAT) specific-to-non displaceable (SBR) ratio brain SPECT values in a naturalistic cohort of patients. Procedures. We analyzed consecutive scans from one-hundred and fifty-one outpatients submitted to brain DAT SPECT for a suspected parkinsonism. Images were post-processed using a commercial (Datquant®) and a free (BasGanV2) software. Reading by expert was the gold-standard. A subset of patients with pathological or borderline scan was evaluated with the clinical Unified Parkinson’s disease rating scale, motor part (MDS-UPDRS-III).Results. SBR, putamen-to-caudate (P/C) ratio, and both P and C asymmetries were highly correlated between the two software with Pearson’s ‘r’ correlation coefficients ranging from .706 to .887. Correlation coefficients with the MDS-UPDRS III score were higher with caudate than with putamen SBR values with both software, and in general higher with BasGanV2 than with Datquant® . Datquant® correspondence with expert reading was 84.1% (94.0% by additionally considering the P/C ratio as a further index). BasGanV2 correspondence with expert reading was 80.8% (86.1% by additionally considering the P/C ratio). Conclusions. Both Datquant® and BasGanV2 work reasonably well and similarly one another in semi-quantification of DAT SPECT. Both tools have their own strength and pitfalls that must be known in detail by users in order to obtain the best help in visual reading and reporting of DAT SPECT.


2019 ◽  
Author(s):  
Marco Bardus ◽  
Nathalie Awada ◽  
Lilian A Ghandour ◽  
Elie-Jacques Fares ◽  
Tarek Gherbal ◽  
...  

BACKGROUND With thousands of health apps in app stores globally, it is crucial to systemically and thoroughly evaluate the quality of these apps due to their potential influence on health decisions and outcomes. The Mobile App Rating Scale (MARS) is the only currently available tool that provides a comprehensive, multidimensional evaluation of app quality, which has been used to compare medical apps from American and European app stores in various areas, available in English, Italian, Spanish, and German. However, this tool is not available in Arabic. OBJECTIVE This study aimed to translate and adapt MARS to Arabic and validate the tool with a sample of health apps aimed at managing or preventing obesity and associated disorders. METHODS We followed a well-established and defined “universalist” process of cross-cultural adaptation using a mixed methods approach. Early translations of the tool, accompanied by confirmation of the contents by two rounds of separate discussions, were included and culminated in a final version, which was then back-translated into English. Two trained researchers piloted the MARS in Arabic (MARS-Ar) with a sample of 10 weight management apps obtained from Google Play and the App Store. Interrater reliability was established using intraclass correlation coefficients (ICCs). After reliability was ascertained, the two researchers independently evaluated a set of additional 56 apps. RESULTS MARS-Ar was highly aligned with the original English version. The ICCs for MARS-Ar (0.836, 95% CI 0.817-0.853) and MARS English (0.838, 95% CI 0.819-0.855) were good. The MARS-Ar subscales were highly correlated with the original counterparts (<i>P</i>&lt;.001). The lowest correlation was observed in the area of usability (<i>r</i>=0.685), followed by aesthetics (<i>r</i>=0.827), information quality (<i>r</i>=0.854), engagement (<i>r</i>=0.894), and total app quality (<i>r</i>=0.897). Subjective quality was also highly correlated (<i>r</i>=0.820). CONCLUSIONS MARS-Ar is a valid instrument to assess app quality among trained Arabic-speaking users of health and fitness apps. Researchers and public health professionals in the Arab world can use the overall MARS score and its subscales to reliably evaluate the quality of weight management apps. Further research is necessary to test the MARS-Ar on apps addressing various health issues, such as attention or anxiety prevention, or sexual and reproductive health.


10.2196/16956 ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. e16956
Author(s):  
Marco Bardus ◽  
Nathalie Awada ◽  
Lilian A Ghandour ◽  
Elie-Jacques Fares ◽  
Tarek Gherbal ◽  
...  

Background With thousands of health apps in app stores globally, it is crucial to systemically and thoroughly evaluate the quality of these apps due to their potential influence on health decisions and outcomes. The Mobile App Rating Scale (MARS) is the only currently available tool that provides a comprehensive, multidimensional evaluation of app quality, which has been used to compare medical apps from American and European app stores in various areas, available in English, Italian, Spanish, and German. However, this tool is not available in Arabic. Objective This study aimed to translate and adapt MARS to Arabic and validate the tool with a sample of health apps aimed at managing or preventing obesity and associated disorders. Methods We followed a well-established and defined “universalist” process of cross-cultural adaptation using a mixed methods approach. Early translations of the tool, accompanied by confirmation of the contents by two rounds of separate discussions, were included and culminated in a final version, which was then back-translated into English. Two trained researchers piloted the MARS in Arabic (MARS-Ar) with a sample of 10 weight management apps obtained from Google Play and the App Store. Interrater reliability was established using intraclass correlation coefficients (ICCs). After reliability was ascertained, the two researchers independently evaluated a set of additional 56 apps. Results MARS-Ar was highly aligned with the original English version. The ICCs for MARS-Ar (0.836, 95% CI 0.817-0.853) and MARS English (0.838, 95% CI 0.819-0.855) were good. The MARS-Ar subscales were highly correlated with the original counterparts (P<.001). The lowest correlation was observed in the area of usability (r=0.685), followed by aesthetics (r=0.827), information quality (r=0.854), engagement (r=0.894), and total app quality (r=0.897). Subjective quality was also highly correlated (r=0.820). Conclusions MARS-Ar is a valid instrument to assess app quality among trained Arabic-speaking users of health and fitness apps. Researchers and public health professionals in the Arab world can use the overall MARS score and its subscales to reliably evaluate the quality of weight management apps. Further research is necessary to test the MARS-Ar on apps addressing various health issues, such as attention or anxiety prevention, or sexual and reproductive health.


Hand ◽  
2017 ◽  
Vol 13 (6) ◽  
pp. 652-658 ◽  
Author(s):  
Thomas J. McQuillan ◽  
Molly M. Vora ◽  
Deborah E. Kenney ◽  
Joseph J. Crisco ◽  
Arnold-Peter C. Weiss ◽  
...  

Background: The Australian/Canadian Osteoarthritis Hand Index (AUSCAN) and Patient-Rated Wrist-Hand Evaluation (PRWHE) are 2 patient-related outcome measures to assess pain and disability in patients with osteoarthritis (OA). The purpose of this study was to evaluate the AUSCAN and PRWHE in a large-scale, longitudinal cohort of patients with early thumb carpometacarpal (CMC) OA. Methods: We obtained baseline data on 135 individuals (92 with early CMC OA participants and 43 asymptomatic controls) and at follow-up (year 1.5) on 83 individuals. We assessed the internal consistency using Cronbach alpha, and construct and criterion validity using other pain scales and objective measures of strength, respectively. We also examined the correlation between the AUSCAN and PRWHE and correlation coefficients at baseline and follow-up, as well as the correlation between changes in these instruments over the follow-up period. Results: Internal consistency was high for both AUSCAN and PRWHE totals and subscales (Cronbach α > 0.70). Both instruments demonstrated construct validity compared with the Verbal Rating Scale ( r = 0.52-0.60, P < .01), an assessment of pain, and moderate criterion validity compared with key pinch and grip strength ( r = −.24 to −.33, P < .05). These instruments were highly correlated with each other at baseline and follow-up time points ( r = 0.76−.94, P < .01), and changes in a patient’s total scores over time were also correlated ( r = 0.83, P < .01). Conclusions: The AUSCAN and PRWHE are both valid assessments for pain and/or disability in patients with early thumb CMC OA.


2018 ◽  
Vol 5 (3) ◽  
pp. 290-295 ◽  
Author(s):  
Jessica Y. Winder ◽  
Raymund A.C. Roos ◽  
Jean-Marc Burgunder ◽  
Johan Marinus ◽  
Ralf Reilmann

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