MR imaging of the brain in large cohort studies: feasibility report of the population- and patient-based BiDirect study
Objectives To describe the implementation and protocol of cerebral magnetic resonance imaging (MRI) in the longitudinal BiDirect study and to report rates of study participation as well as management of incidental findings. Methods Data came from the BiDirect study that investigates the relationship...
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Veröffentlicht in: | European radiology 2017, Vol.27 (1), p.231-238 |
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creator | Teuber, Anja Sundermann, Benedikt Kugel, Harald Schwindt, Wolfram Heindel, Walter Minnerup, Jens Dannlowski, Udo Berger, Klaus Wersching, Heike |
description | Objectives
To describe the implementation and protocol of cerebral magnetic resonance imaging (MRI) in the longitudinal BiDirect study and to report rates of study participation as well as management of incidental findings.
Methods
Data came from the BiDirect study that investigates the relationship between depression and arteriosclerosis and comprises 2258 participants in three cohorts: 999 patients with depression, 347 patients with manifest cardiovascular disease (CVD) and 912 population-based controls. The study program includes MRI of the brain. Reasons for non-participation were systematically collected. Incidental findings were categorized and disclosed according to clinical relevance.
Results
At baseline 2176 participants were offered MRI, of whom 1453 (67 %) completed it. Reasons for non-participation differed according to cohort, age and gender with controls showing the highest participation rate of 79 %. Patient cohorts had higher refusal rates and CVD patients a high prevalence of contraindications. In the first follow-up examination 69 % of participating subjects completed MRI.
Incidental findings were disclosed to 246 participants (17 %). The majority of incidental findings were extensive white matter hyperintensities requiring further diagnostic work-up.
Conclusions
Knowledge about subjects and sensible definition of incidental findings are crucial for large-scale imaging projects. Our data offer practical and concrete information for the design of future studies.
Key points
• Willingness to participate in MRI is generally high, also in follow-up examinations.
• Rates of refusal and prevalence of contraindications differ according to subject characteristics.
• Extensive white matter hyperintensities considerably increase the disclosure rates of incidental findings.
• MRI workflow requires continuous case-by-case handling by an interdisciplinary team. |
doi_str_mv | 10.1007/s00330-016-4303-9 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1850770856</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1850770856</sourcerecordid><originalsourceid>FETCH-LOGICAL-c453t-33ec374f8ff54468fdaec0299a7ce852fd3df2f4adacb68b6f0f100da0cd4fba3</originalsourceid><addsrcrecordid>eNqNkV2L1DAUhoMo7jj6A7yRgDfeRE-apEm809VdhRVB9Dqk-ZjN0mlq0iLz723pKCIIQiCB85znkPMi9JTCSwogX1UAxoAAbQlnwIi-h3aUs4ZQUPw-2oFmikit-QV6VOsdAGjK5UN00UgQWgm5Qz8-fcHpaA9pOOAc8XQbcFdsGvByelsOAbt8m8uE6zT7FOprHIOtqUt9mk64hHGtnRvHPM69nVIeCLaDx-PyDsNEOluDx2_Tu1SC20ynx-hBtH0NT873Hn27ev_18gO5-Xz98fLNDXFcsIkwFhyTPKoYBeetit4GB43WVrqgRBM987GJ3HrrulZ1bYS4rMZbcJ7HzrI9erF5x5K_z6FO5piqC31vh5DnaqgSICUo0f4HykUjWrVsdY-e_4Xe5bkMy0dWiguupV6FdKNcybWWEM1Yll2Xk6Fg1gDNFqBZAjRrgGY1Pzub5-4Y_O-OX4ktQLMBdSkNh1D-GP1P60_tkKb2</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1844549796</pqid></control><display><type>article</type><title>MR imaging of the brain in large cohort studies: feasibility report of the population- and patient-based BiDirect study</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Teuber, Anja ; Sundermann, Benedikt ; Kugel, Harald ; Schwindt, Wolfram ; Heindel, Walter ; Minnerup, Jens ; Dannlowski, Udo ; Berger, Klaus ; Wersching, Heike</creator><creatorcontrib>Teuber, Anja ; Sundermann, Benedikt ; Kugel, Harald ; Schwindt, Wolfram ; Heindel, Walter ; Minnerup, Jens ; Dannlowski, Udo ; Berger, Klaus ; Wersching, Heike</creatorcontrib><description>Objectives
To describe the implementation and protocol of cerebral magnetic resonance imaging (MRI) in the longitudinal BiDirect study and to report rates of study participation as well as management of incidental findings.
Methods
Data came from the BiDirect study that investigates the relationship between depression and arteriosclerosis and comprises 2258 participants in three cohorts: 999 patients with depression, 347 patients with manifest cardiovascular disease (CVD) and 912 population-based controls. The study program includes MRI of the brain. Reasons for non-participation were systematically collected. Incidental findings were categorized and disclosed according to clinical relevance.
Results
At baseline 2176 participants were offered MRI, of whom 1453 (67 %) completed it. Reasons for non-participation differed according to cohort, age and gender with controls showing the highest participation rate of 79 %. Patient cohorts had higher refusal rates and CVD patients a high prevalence of contraindications. In the first follow-up examination 69 % of participating subjects completed MRI.
Incidental findings were disclosed to 246 participants (17 %). The majority of incidental findings were extensive white matter hyperintensities requiring further diagnostic work-up.
Conclusions
Knowledge about subjects and sensible definition of incidental findings are crucial for large-scale imaging projects. Our data offer practical and concrete information for the design of future studies.
Key points
• Willingness to participate in MRI is generally high, also in follow-up examinations.
• Rates of refusal and prevalence of contraindications differ according to subject characteristics.
• Extensive white matter hyperintensities considerably increase the disclosure rates of incidental findings.
• MRI workflow requires continuous case-by-case handling by an interdisciplinary team.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-016-4303-9</identifier><identifier>PMID: 27059857</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Aged ; Arteriosclerosis ; Brain - diagnostic imaging ; Brain - pathology ; Cardiovascular disease ; Case-Control Studies ; Cohort analysis ; Cohort Studies ; Contraindications ; Depressive Disorder, Major - diagnostic imaging ; Depressive Disorder, Major - epidemiology ; Diagnostic Radiology ; Feasibility Studies ; Female ; Germany - epidemiology ; Humans ; Imaging ; Incidental Findings ; Interdisciplinary aspects ; Internal Medicine ; Interventional Radiology ; Intracranial Arteriosclerosis - diagnostic imaging ; Intracranial Arteriosclerosis - epidemiology ; Longitudinal Studies ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medicine ; Medicine & Public Health ; Mental depression ; Middle Aged ; Neuro ; Neuroradiology ; Participation ; Patients ; Population-based studies ; Prevalence ; Radiology ; Refusal to Participate ; Sex Factors ; Truth Disclosure ; Ultrasound</subject><ispartof>European radiology, 2017, Vol.27 (1), p.231-238</ispartof><rights>European Society of Radiology 2016</rights><rights>European Radiology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c453t-33ec374f8ff54468fdaec0299a7ce852fd3df2f4adacb68b6f0f100da0cd4fba3</citedby><cites>FETCH-LOGICAL-c453t-33ec374f8ff54468fdaec0299a7ce852fd3df2f4adacb68b6f0f100da0cd4fba3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-016-4303-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-016-4303-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27059857$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Teuber, Anja</creatorcontrib><creatorcontrib>Sundermann, Benedikt</creatorcontrib><creatorcontrib>Kugel, Harald</creatorcontrib><creatorcontrib>Schwindt, Wolfram</creatorcontrib><creatorcontrib>Heindel, Walter</creatorcontrib><creatorcontrib>Minnerup, Jens</creatorcontrib><creatorcontrib>Dannlowski, Udo</creatorcontrib><creatorcontrib>Berger, Klaus</creatorcontrib><creatorcontrib>Wersching, Heike</creatorcontrib><title>MR imaging of the brain in large cohort studies: feasibility report of the population- and patient-based BiDirect study</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To describe the implementation and protocol of cerebral magnetic resonance imaging (MRI) in the longitudinal BiDirect study and to report rates of study participation as well as management of incidental findings.
Methods
Data came from the BiDirect study that investigates the relationship between depression and arteriosclerosis and comprises 2258 participants in three cohorts: 999 patients with depression, 347 patients with manifest cardiovascular disease (CVD) and 912 population-based controls. The study program includes MRI of the brain. Reasons for non-participation were systematically collected. Incidental findings were categorized and disclosed according to clinical relevance.
Results
At baseline 2176 participants were offered MRI, of whom 1453 (67 %) completed it. Reasons for non-participation differed according to cohort, age and gender with controls showing the highest participation rate of 79 %. Patient cohorts had higher refusal rates and CVD patients a high prevalence of contraindications. In the first follow-up examination 69 % of participating subjects completed MRI.
Incidental findings were disclosed to 246 participants (17 %). The majority of incidental findings were extensive white matter hyperintensities requiring further diagnostic work-up.
Conclusions
Knowledge about subjects and sensible definition of incidental findings are crucial for large-scale imaging projects. Our data offer practical and concrete information for the design of future studies.
Key points
• Willingness to participate in MRI is generally high, also in follow-up examinations.
• Rates of refusal and prevalence of contraindications differ according to subject characteristics.
• Extensive white matter hyperintensities considerably increase the disclosure rates of incidental findings.
• MRI workflow requires continuous case-by-case handling by an interdisciplinary team.</description><subject>Adult</subject><subject>Aged</subject><subject>Arteriosclerosis</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - pathology</subject><subject>Cardiovascular disease</subject><subject>Case-Control Studies</subject><subject>Cohort analysis</subject><subject>Cohort Studies</subject><subject>Contraindications</subject><subject>Depressive Disorder, Major - diagnostic imaging</subject><subject>Depressive Disorder, Major - epidemiology</subject><subject>Diagnostic Radiology</subject><subject>Feasibility Studies</subject><subject>Female</subject><subject>Germany - epidemiology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Incidental Findings</subject><subject>Interdisciplinary aspects</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Intracranial Arteriosclerosis - diagnostic imaging</subject><subject>Intracranial Arteriosclerosis - epidemiology</subject><subject>Longitudinal Studies</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental depression</subject><subject>Middle Aged</subject><subject>Neuro</subject><subject>Neuroradiology</subject><subject>Participation</subject><subject>Patients</subject><subject>Population-based studies</subject><subject>Prevalence</subject><subject>Radiology</subject><subject>Refusal to Participate</subject><subject>Sex Factors</subject><subject>Truth Disclosure</subject><subject>Ultrasound</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqNkV2L1DAUhoMo7jj6A7yRgDfeRE-apEm809VdhRVB9Dqk-ZjN0mlq0iLz723pKCIIQiCB85znkPMi9JTCSwogX1UAxoAAbQlnwIi-h3aUs4ZQUPw-2oFmikit-QV6VOsdAGjK5UN00UgQWgm5Qz8-fcHpaA9pOOAc8XQbcFdsGvByelsOAbt8m8uE6zT7FOprHIOtqUt9mk64hHGtnRvHPM69nVIeCLaDx-PyDsNEOluDx2_Tu1SC20ynx-hBtH0NT873Hn27ev_18gO5-Xz98fLNDXFcsIkwFhyTPKoYBeetit4GB43WVrqgRBM987GJ3HrrulZ1bYS4rMZbcJ7HzrI9erF5x5K_z6FO5piqC31vh5DnaqgSICUo0f4HykUjWrVsdY-e_4Xe5bkMy0dWiguupV6FdKNcybWWEM1Yll2Xk6Fg1gDNFqBZAjRrgGY1Pzub5-4Y_O-OX4ktQLMBdSkNh1D-GP1P60_tkKb2</recordid><startdate>2017</startdate><enddate>2017</enddate><creator>Teuber, Anja</creator><creator>Sundermann, Benedikt</creator><creator>Kugel, Harald</creator><creator>Schwindt, Wolfram</creator><creator>Heindel, Walter</creator><creator>Minnerup, Jens</creator><creator>Dannlowski, Udo</creator><creator>Berger, Klaus</creator><creator>Wersching, Heike</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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>2017</creationdate><title>MR imaging of the brain in large cohort studies: feasibility report of the population- and patient-based BiDirect study</title><author>Teuber, Anja ; Sundermann, Benedikt ; Kugel, Harald ; Schwindt, Wolfram ; Heindel, Walter ; Minnerup, Jens ; Dannlowski, Udo ; Berger, Klaus ; Wersching, Heike</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-33ec374f8ff54468fdaec0299a7ce852fd3df2f4adacb68b6f0f100da0cd4fba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Arteriosclerosis</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - pathology</topic><topic>Cardiovascular disease</topic><topic>Case-Control Studies</topic><topic>Cohort analysis</topic><topic>Cohort Studies</topic><topic>Contraindications</topic><topic>Depressive Disorder, Major - diagnostic imaging</topic><topic>Depressive Disorder, Major - epidemiology</topic><topic>Diagnostic Radiology</topic><topic>Feasibility Studies</topic><topic>Female</topic><topic>Germany - epidemiology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Incidental Findings</topic><topic>Interdisciplinary aspects</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Intracranial Arteriosclerosis - diagnostic imaging</topic><topic>Intracranial Arteriosclerosis - epidemiology</topic><topic>Longitudinal Studies</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mental depression</topic><topic>Middle Aged</topic><topic>Neuro</topic><topic>Neuroradiology</topic><topic>Participation</topic><topic>Patients</topic><topic>Population-based studies</topic><topic>Prevalence</topic><topic>Radiology</topic><topic>Refusal to Participate</topic><topic>Sex Factors</topic><topic>Truth Disclosure</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Teuber, Anja</creatorcontrib><creatorcontrib>Sundermann, Benedikt</creatorcontrib><creatorcontrib>Kugel, Harald</creatorcontrib><creatorcontrib>Schwindt, Wolfram</creatorcontrib><creatorcontrib>Heindel, Walter</creatorcontrib><creatorcontrib>Minnerup, Jens</creatorcontrib><creatorcontrib>Dannlowski, Udo</creatorcontrib><creatorcontrib>Berger, Klaus</creatorcontrib><creatorcontrib>Wersching, Heike</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Teuber, Anja</au><au>Sundermann, Benedikt</au><au>Kugel, Harald</au><au>Schwindt, Wolfram</au><au>Heindel, Walter</au><au>Minnerup, Jens</au><au>Dannlowski, Udo</au><au>Berger, Klaus</au><au>Wersching, Heike</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MR imaging of the brain in large cohort studies: feasibility report of the population- and patient-based BiDirect study</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2017</date><risdate>2017</risdate><volume>27</volume><issue>1</issue><spage>231</spage><epage>238</epage><pages>231-238</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
To describe the implementation and protocol of cerebral magnetic resonance imaging (MRI) in the longitudinal BiDirect study and to report rates of study participation as well as management of incidental findings.
Methods
Data came from the BiDirect study that investigates the relationship between depression and arteriosclerosis and comprises 2258 participants in three cohorts: 999 patients with depression, 347 patients with manifest cardiovascular disease (CVD) and 912 population-based controls. The study program includes MRI of the brain. Reasons for non-participation were systematically collected. Incidental findings were categorized and disclosed according to clinical relevance.
Results
At baseline 2176 participants were offered MRI, of whom 1453 (67 %) completed it. Reasons for non-participation differed according to cohort, age and gender with controls showing the highest participation rate of 79 %. Patient cohorts had higher refusal rates and CVD patients a high prevalence of contraindications. In the first follow-up examination 69 % of participating subjects completed MRI.
Incidental findings were disclosed to 246 participants (17 %). The majority of incidental findings were extensive white matter hyperintensities requiring further diagnostic work-up.
Conclusions
Knowledge about subjects and sensible definition of incidental findings are crucial for large-scale imaging projects. Our data offer practical and concrete information for the design of future studies.
Key points
• Willingness to participate in MRI is generally high, also in follow-up examinations.
• Rates of refusal and prevalence of contraindications differ according to subject characteristics.
• Extensive white matter hyperintensities considerably increase the disclosure rates of incidental findings.
• MRI workflow requires continuous case-by-case handling by an interdisciplinary team.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>27059857</pmid><doi>10.1007/s00330-016-4303-9</doi><tpages>8</tpages></addata></record> |
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subjects | Adult Aged Arteriosclerosis Brain - diagnostic imaging Brain - pathology Cardiovascular disease Case-Control Studies Cohort analysis Cohort Studies Contraindications Depressive Disorder, Major - diagnostic imaging Depressive Disorder, Major - epidemiology Diagnostic Radiology Feasibility Studies Female Germany - epidemiology Humans Imaging Incidental Findings Interdisciplinary aspects Internal Medicine Interventional Radiology Intracranial Arteriosclerosis - diagnostic imaging Intracranial Arteriosclerosis - epidemiology Longitudinal Studies Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medicine Medicine & Public Health Mental depression Middle Aged Neuro Neuroradiology Participation Patients Population-based studies Prevalence Radiology Refusal to Participate Sex Factors Truth Disclosure Ultrasound |
title | MR imaging of the brain in large cohort studies: feasibility report of the population- and patient-based BiDirect study |
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