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Radiomics score derived from T1-w/T2-w ratio image can predict motor symptom progression in Parkinson’s disease
Objectives To clarify the association between a radiomics score (Rad-score) derived from T1-weighted signal intensity to T2-weighted signal intensity (T1-w/T2-w) ratio images and the progression of motor symptoms in Parkinson’s disease (PD). Materials and methods This retrospective study included pa...
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| Published in: | European radiology 2024-12, Vol.34 (12), p.7921-7933 |
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| container_title | European radiology |
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| creator | Shimozono, Takuya Shiiba, Takuro Takano, Kazuki |
| description | Objectives
To clarify the association between a radiomics score (Rad-score) derived from T1-weighted signal intensity to T2-weighted signal intensity (T1-w/T2-w) ratio images and the progression of motor symptoms in Parkinson’s disease (PD).
Materials and methods
This retrospective study included patients with PD enrolled in the Parkinson’s Progression Markers Initiative. The Movement Disorders Society-Unified Parkinson’s Disease Rating Scale Part III score ≥ 33 and/or Hoehn and Yahr stage ≥ 3 indicated motor function decline. The Rad-score was constructed using radiomics features extracted from T1-w/T2-w ratio images. The Kaplan-Meier analysis and Cox regression analyses were used to assess the time differences in motor function decline between the high and low Rad-score groups.
Results
A total of 171 patients with PD were divided into training (
n
= 101, mean age at baseline, 61.6 ± 9.3 years) and testing (
n
= 70, mean age at baseline, 61.6 ± 10 years). The patients in the high Rad-score group had a shorter time to motor function decline than those in the low Rad-score group in the training dataset (log-rank test,
p
|
| doi_str_mv | 10.1007/s00330-024-10886-2 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3075379563</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3127420288</sourcerecordid><originalsourceid>FETCH-LOGICAL-c256t-2d41c9e00000a9ae5448ea65c974905f3f93337455af03f7feec49193f5e05033</originalsourceid><addsrcrecordid>eNp9kUtuFDEQhi0EIiFwARbIEhs2TcqvdnuJIiBIkUBoWFvGXR45TLcnrh6i7LgG1-Mk8TDhIRZ4Y1v-6nepPsaeCngpAOwpASgFHUjdCRiGvpP32LHQSu6v-v5f5yP2iOgSAJzQ9iE7UoMzQ-_sMbv6GMZcphyJUywV-Yg1f8WRp1omvhLd9elKdte8hiUXnqewRh7DzLcVxxwXPpWlVE4303Zp_LaWdUWiXGaeZ_4h1C95pjL_-Pad-JgJA-Fj9iCFDeGTu_2EfXrzenV23l28f_vu7NVFF6Xpl06OWkSHsF_BBTRaDxh6E53VDkxSySmlrDYmJFDJJsSonXAqGQTTBnPCXhxyW1NXO6TFT5kibjZhxrIjr8AaZZ3p9-jzf9DLsqtz684rIa2WIIehUfJAxVqIKia_rW0g9cYL8Hsh_iDENyH-pxAvW9Gzu-jd5wnH3yW_DDRAHQBqT_Ma65-__xN7C9FQlkU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3127420288</pqid></control><display><type>article</type><title>Radiomics score derived from T1-w/T2-w ratio image can predict motor symptom progression in Parkinson’s disease</title><source>Springer Nature</source><creator>Shimozono, Takuya ; Shiiba, Takuro ; Takano, Kazuki</creator><creatorcontrib>Shimozono, Takuya ; Shiiba, Takuro ; Takano, Kazuki</creatorcontrib><description>Objectives
To clarify the association between a radiomics score (Rad-score) derived from T1-weighted signal intensity to T2-weighted signal intensity (T1-w/T2-w) ratio images and the progression of motor symptoms in Parkinson’s disease (PD).
Materials and methods
This retrospective study included patients with PD enrolled in the Parkinson’s Progression Markers Initiative. The Movement Disorders Society-Unified Parkinson’s Disease Rating Scale Part III score ≥ 33 and/or Hoehn and Yahr stage ≥ 3 indicated motor function decline. The Rad-score was constructed using radiomics features extracted from T1-w/T2-w ratio images. The Kaplan-Meier analysis and Cox regression analyses were used to assess the time differences in motor function decline between the high and low Rad-score groups.
Results
A total of 171 patients with PD were divided into training (
n
= 101, mean age at baseline, 61.6 ± 9.3 years) and testing (
n
= 70, mean age at baseline, 61.6 ± 10 years). The patients in the high Rad-score group had a shorter time to motor function decline than those in the low Rad-score group in the training dataset (log-rank test,
p
< 0.001) and testing dataset (log-rank test,
p
< 0.001). The multivariate Cox regression using the Rad-score and clinical factors revealed a significant association between the Rad-score and motor function decline in the training dataset (HR = 2.368, 95%CI:1.423–3.943,
p
< 0.001) and testing dataset (HR = 2.931, 95%CI:1.472–5.837,
p
= 0.002).
Conclusion
Rad-scores based on radiomics features derived from T1-w/T2-w ratio images were associated with the progression of motor symptoms in PD.
Clinical relevance statement
The radiomics score derived from the T1-weighted/T2-weighted ratio images offers a predictive tool for assessing the progression of motor symptom in patients with PD.
Key Points
Radiomics score derived from T1-weighted/T2-weighted ratio images is correlated with the motor symptoms of Parkinson’s disease.
A high radiomics score correlated with faster motor function decline in patients with Parkinson’s disease.
The proposed radiomics score offers predictive insight into the progression of motor symptoms of Parkinson’s disease.</description><identifier>ISSN: 1432-1084</identifier><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-024-10886-2</identifier><identifier>PMID: 38958697</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Aged ; Datasets ; Diagnostic Radiology ; Disease Progression ; Feature extraction ; Female ; Human motion ; Humans ; Imaging ; Imaging Informatics and Artificial Intelligence ; Internal Medicine ; Interventional Radiology ; Magnetic Resonance Imaging - methods ; Male ; Medical imaging ; Medicine ; Medicine & Public Health ; Middle Aged ; Movement disorders ; Neurodegenerative diseases ; Neuroradiology ; Parkinson Disease - diagnostic imaging ; Parkinson Disease - physiopathology ; Parkinson's disease ; Radiology ; Radiomics ; Rank tests ; Regression analysis ; Retrospective Studies ; Signs and symptoms ; Training ; Ultrasound</subject><ispartof>European radiology, 2024-12, Vol.34 (12), p.7921-7933</ispartof><rights>The Author(s), under exclusive licence to European Society of Radiology 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to European Society of Radiology.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c256t-2d41c9e00000a9ae5448ea65c974905f3f93337455af03f7feec49193f5e05033</cites><orcidid>0000-0001-5515-091X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38958697$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shimozono, Takuya</creatorcontrib><creatorcontrib>Shiiba, Takuro</creatorcontrib><creatorcontrib>Takano, Kazuki</creatorcontrib><title>Radiomics score derived from T1-w/T2-w ratio image can predict motor symptom progression in Parkinson’s disease</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To clarify the association between a radiomics score (Rad-score) derived from T1-weighted signal intensity to T2-weighted signal intensity (T1-w/T2-w) ratio images and the progression of motor symptoms in Parkinson’s disease (PD).
Materials and methods
This retrospective study included patients with PD enrolled in the Parkinson’s Progression Markers Initiative. The Movement Disorders Society-Unified Parkinson’s Disease Rating Scale Part III score ≥ 33 and/or Hoehn and Yahr stage ≥ 3 indicated motor function decline. The Rad-score was constructed using radiomics features extracted from T1-w/T2-w ratio images. The Kaplan-Meier analysis and Cox regression analyses were used to assess the time differences in motor function decline between the high and low Rad-score groups.
Results
A total of 171 patients with PD were divided into training (
n
= 101, mean age at baseline, 61.6 ± 9.3 years) and testing (
n
= 70, mean age at baseline, 61.6 ± 10 years). The patients in the high Rad-score group had a shorter time to motor function decline than those in the low Rad-score group in the training dataset (log-rank test,
p
< 0.001) and testing dataset (log-rank test,
p
< 0.001). The multivariate Cox regression using the Rad-score and clinical factors revealed a significant association between the Rad-score and motor function decline in the training dataset (HR = 2.368, 95%CI:1.423–3.943,
p
< 0.001) and testing dataset (HR = 2.931, 95%CI:1.472–5.837,
p
= 0.002).
Conclusion
Rad-scores based on radiomics features derived from T1-w/T2-w ratio images were associated with the progression of motor symptoms in PD.
Clinical relevance statement
The radiomics score derived from the T1-weighted/T2-weighted ratio images offers a predictive tool for assessing the progression of motor symptom in patients with PD.
Key Points
Radiomics score derived from T1-weighted/T2-weighted ratio images is correlated with the motor symptoms of Parkinson’s disease.
A high radiomics score correlated with faster motor function decline in patients with Parkinson’s disease.
The proposed radiomics score offers predictive insight into the progression of motor symptoms of Parkinson’s disease.</description><subject>Aged</subject><subject>Datasets</subject><subject>Diagnostic Radiology</subject><subject>Disease Progression</subject><subject>Feature extraction</subject><subject>Female</subject><subject>Human motion</subject><subject>Humans</subject><subject>Imaging</subject><subject>Imaging Informatics and Artificial Intelligence</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Movement disorders</subject><subject>Neurodegenerative diseases</subject><subject>Neuroradiology</subject><subject>Parkinson Disease - diagnostic imaging</subject><subject>Parkinson Disease - physiopathology</subject><subject>Parkinson's disease</subject><subject>Radiology</subject><subject>Radiomics</subject><subject>Rank tests</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Signs and symptoms</subject><subject>Training</subject><subject>Ultrasound</subject><issn>1432-1084</issn><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kUtuFDEQhi0EIiFwARbIEhs2TcqvdnuJIiBIkUBoWFvGXR45TLcnrh6i7LgG1-Mk8TDhIRZ4Y1v-6nepPsaeCngpAOwpASgFHUjdCRiGvpP32LHQSu6v-v5f5yP2iOgSAJzQ9iE7UoMzQ-_sMbv6GMZcphyJUywV-Yg1f8WRp1omvhLd9elKdte8hiUXnqewRh7DzLcVxxwXPpWlVE4303Zp_LaWdUWiXGaeZ_4h1C95pjL_-Pad-JgJA-Fj9iCFDeGTu_2EfXrzenV23l28f_vu7NVFF6Xpl06OWkSHsF_BBTRaDxh6E53VDkxSySmlrDYmJFDJJsSonXAqGQTTBnPCXhxyW1NXO6TFT5kibjZhxrIjr8AaZZ3p9-jzf9DLsqtz684rIa2WIIehUfJAxVqIKia_rW0g9cYL8Hsh_iDENyH-pxAvW9Gzu-jd5wnH3yW_DDRAHQBqT_Ma65-__xN7C9FQlkU</recordid><startdate>20241201</startdate><enddate>20241201</enddate><creator>Shimozono, Takuya</creator><creator>Shiiba, Takuro</creator><creator>Takano, Kazuki</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5515-091X</orcidid></search><sort><creationdate>20241201</creationdate><title>Radiomics score derived from T1-w/T2-w ratio image can predict motor symptom progression in Parkinson’s disease</title><author>Shimozono, Takuya ; Shiiba, Takuro ; Takano, Kazuki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c256t-2d41c9e00000a9ae5448ea65c974905f3f93337455af03f7feec49193f5e05033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aged</topic><topic>Datasets</topic><topic>Diagnostic Radiology</topic><topic>Disease Progression</topic><topic>Feature extraction</topic><topic>Female</topic><topic>Human motion</topic><topic>Humans</topic><topic>Imaging</topic><topic>Imaging Informatics and Artificial Intelligence</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Movement disorders</topic><topic>Neurodegenerative diseases</topic><topic>Neuroradiology</topic><topic>Parkinson Disease - diagnostic imaging</topic><topic>Parkinson Disease - physiopathology</topic><topic>Parkinson's disease</topic><topic>Radiology</topic><topic>Radiomics</topic><topic>Rank tests</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Signs and symptoms</topic><topic>Training</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shimozono, Takuya</creatorcontrib><creatorcontrib>Shiiba, Takuro</creatorcontrib><creatorcontrib>Takano, Kazuki</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shimozono, Takuya</au><au>Shiiba, Takuro</au><au>Takano, Kazuki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Radiomics score derived from T1-w/T2-w ratio image can predict motor symptom progression in Parkinson’s disease</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2024-12-01</date><risdate>2024</risdate><volume>34</volume><issue>12</issue><spage>7921</spage><epage>7933</epage><pages>7921-7933</pages><issn>1432-1084</issn><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
To clarify the association between a radiomics score (Rad-score) derived from T1-weighted signal intensity to T2-weighted signal intensity (T1-w/T2-w) ratio images and the progression of motor symptoms in Parkinson’s disease (PD).
Materials and methods
This retrospective study included patients with PD enrolled in the Parkinson’s Progression Markers Initiative. The Movement Disorders Society-Unified Parkinson’s Disease Rating Scale Part III score ≥ 33 and/or Hoehn and Yahr stage ≥ 3 indicated motor function decline. The Rad-score was constructed using radiomics features extracted from T1-w/T2-w ratio images. The Kaplan-Meier analysis and Cox regression analyses were used to assess the time differences in motor function decline between the high and low Rad-score groups.
Results
A total of 171 patients with PD were divided into training (
n
= 101, mean age at baseline, 61.6 ± 9.3 years) and testing (
n
= 70, mean age at baseline, 61.6 ± 10 years). The patients in the high Rad-score group had a shorter time to motor function decline than those in the low Rad-score group in the training dataset (log-rank test,
p
< 0.001) and testing dataset (log-rank test,
p
< 0.001). The multivariate Cox regression using the Rad-score and clinical factors revealed a significant association between the Rad-score and motor function decline in the training dataset (HR = 2.368, 95%CI:1.423–3.943,
p
< 0.001) and testing dataset (HR = 2.931, 95%CI:1.472–5.837,
p
= 0.002).
Conclusion
Rad-scores based on radiomics features derived from T1-w/T2-w ratio images were associated with the progression of motor symptoms in PD.
Clinical relevance statement
The radiomics score derived from the T1-weighted/T2-weighted ratio images offers a predictive tool for assessing the progression of motor symptom in patients with PD.
Key Points
Radiomics score derived from T1-weighted/T2-weighted ratio images is correlated with the motor symptoms of Parkinson’s disease.
A high radiomics score correlated with faster motor function decline in patients with Parkinson’s disease.
The proposed radiomics score offers predictive insight into the progression of motor symptoms of Parkinson’s disease.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>38958697</pmid><doi>10.1007/s00330-024-10886-2</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0001-5515-091X</orcidid></addata></record> |
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| subjects | Aged Datasets Diagnostic Radiology Disease Progression Feature extraction Female Human motion Humans Imaging Imaging Informatics and Artificial Intelligence Internal Medicine Interventional Radiology Magnetic Resonance Imaging - methods Male Medical imaging Medicine Medicine & Public Health Middle Aged Movement disorders Neurodegenerative diseases Neuroradiology Parkinson Disease - diagnostic imaging Parkinson Disease - physiopathology Parkinson's disease Radiology Radiomics Rank tests Regression analysis Retrospective Studies Signs and symptoms Training Ultrasound |
| title | Radiomics score derived from T1-w/T2-w ratio image can predict motor symptom progression in Parkinson’s disease |
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