Retraction notice to "An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images" [Comput. Med. Imaging Graphics 87 (2021) 101810].

Mohammed, F; He, X; Lin, Y

Retraction notice to "An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images" [Comput. Med. Imaging Graphics 87 (2021) 101810].

Mohammed, F He, X

Lin, Y

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Comput Med Imaging Graph, 2021, 93, pp. 101972
Issue Date:: 2021-10

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Field	Value	Language
dc.contributor.author	Mohammed, F
dc.contributor.author	He, X https://orcid.org/0000-0001-8962-540X
dc.contributor.author	Lin, Y
dc.date.accessioned	2022-05-23T02:21:00Z
dc.date.available	2022-05-23T02:21:00Z
dc.date.issued	2021-10
dc.identifier.citation	Comput Med Imaging Graph, 2021, 93, pp. 101972
dc.identifier.issn	0895-6111
dc.identifier.issn	1879-0771
dc.identifier.uri	http://hdl.handle.net/10453/157622
dc.description.abstract	This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the Editor-in-Chief in agreement with the Authors. Following a concern raised by a third party, errors in the statistical and image analysis described in this paper were found. Issue 1: The definition of healthy control (HC) is incorrect. SWEDD cohort cannot be used as HC. This issue can be resolved by dividing the population into three groups, Parkinson's disease (PD), SWEDD, and HC, instead of binary groups of PD and HC. This would require a change of methodology and that may lead to a different conclusion. Issue 2: Inadequate explanation of the use of 1359 SPECT images stated in the manuscript. The assumption that one can treat repeated scans of the same patient as independent from each other in disease classification is incorrect. The reason that the bias was not seen in health control analysis as HC only has 5% repeated scans in their study, thus the impact is rather insignificant; This does not apply to the PD cases, in which the error is about 300 %. In addition, the number of subjects in Table 6 should be 449, not 1400+ subjects as stated. These errors, though unintentional, render the conclusions of the article no longer valid. We are therefore retracting our paper and apologize to the scientific community for any inconvenience caused.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier BV
dc.relation.ispartof	Comput Med Imaging Graph
dc.relation.isbasedon	10.1016/j.compmedimag.2021.101972
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0903 Biomedical Engineering, 1103 Clinical Sciences
dc.subject.classification	Nuclear Medicine & Medical Imaging
dc.title	Retraction notice to "An easy-to-use deep-learning model for highly accurate diagnosis of Parkinson's disease using SPECT images" [Comput. Med. Imaging Graphics 87 (2021) 101810].
dc.type	Journal Article
utslib.citation.volume	93
utslib.location.activity	United States
utslib.for	0903 Biomedical Engineering
utslib.for	1103 Clinical Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-05-23T02:20:58Z
pubs.publication-status	Published
pubs.volume	93

Abstract:

This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevier.com/locate/withdrawalpolicy). This article has been retracted at the request of the Editor-in-Chief in agreement with the Authors. Following a concern raised by a third party, errors in the statistical and image analysis described in this paper were found. Issue 1: The definition of healthy control (HC) is incorrect. SWEDD cohort cannot be used as HC. This issue can be resolved by dividing the population into three groups, Parkinson's disease (PD), SWEDD, and HC, instead of binary groups of PD and HC. This would require a change of methodology and that may lead to a different conclusion. Issue 2: Inadequate explanation of the use of 1359 SPECT images stated in the manuscript. The assumption that one can treat repeated scans of the same patient as independent from each other in disease classification is incorrect. The reason that the bias was not seen in health control analysis as HC only has 5% repeated scans in their study, thus the impact is rather insignificant; This does not apply to the PD cases, in which the error is about 300 %. In addition, the number of subjects in Table 6 should be 449, not 1400+ subjects as stated. These errors, though unintentional, render the conclusions of the article no longer valid. We are therefore retracting our paper and apologize to the scientific community for any inconvenience caused.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/157622