Functional diagnosis of placenta accreta by intravoxel incoherent motion model diffusion-weighted imaging
Objectives To investigate the diagnostic value of intravoxel incoherent motion (IVIM) DWI for placenta accreta by comparing diffusion and perfusion characteristics of placentas with accreta lesions (APs) with those of normal placentas (NPs). Methods Twenty-five pregnant women with AP and 24 with NP...
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description | Objectives
To investigate the diagnostic value of intravoxel incoherent motion (IVIM) DWI for placenta accreta by comparing diffusion and perfusion characteristics of placentas with accreta lesions (APs) with those of normal placentas (NPs).
Methods
Twenty-five pregnant women with AP and 24 with NP underwent 3-T magnetic resonance examinations with IVIM-DWI. The perfusion percentage (
f
), pseudo-diffusion coefficient (
D
*), and diffusion coefficient (
D
) values were calculated from different ROIs: the entire-plane of the AP (AP-ROI) and NP (NP-ROI) and the implanted (IR-ROI) and non-implanted region (NIR-ROI) of the AP. The AP-ROIs and NP-ROIs were compared using covariance analysis; the IR-ROIs and NIR-ROIs were compared using the Wilcoxon signed-rank test. ROC curves were produced to evaluate the parameters for predicting placenta accreta.
Results
The
f
and
D
* values for the AP-ROIs ([45.0 ± 7.63]%, [11.64 ± 2.15]mm
2
/s) were significantly higher than those for the NP-ROIs ([31.85 ± 5.96]%, [9.04 ± 3.13]mm
2
/s) (both
p
< 0.05); the IR-ROIs (54.8%, 14.03 mm
2
/s) were also significantly higher than the NIR-ROIs (37.4%, 11.4 mm
2
/s) (both
p
< 0.05). No significant differences were found between the
D
values of the AP-ROIs and NP-ROIs (
p
> 0.05) or of the IR-ROIs and NIR-ROIs (
p
> 0.05). The areas under the curve for
f
and
D
* of the ROC curves were 0.93 and 0.79, respectively.
Conclusions
These results suggest that the IVIM parameters
f
and
D
* can be used to quantitatively evaluate the higher perfusion of AP when compared with NP. Furthermore, IVIM may be a useful functional diagnostic technique to predict placenta accreta.
Key Points
• Intravoxel incoherent motion (IVIM) may be a useful diagnostic technique to quantitatively estimate the perfusion of the placenta.
• The perfusion percentage (f) and pseudo-diffusion coefficient (D*) values differed significantly between placentas with accreta lesions and normal placentas.
•
ROC curves showed that perfusion percentage (f) and pseudo-diffusion coefficient (D*) values could accurately predict placenta accreta. |
doi_str_mv | 10.1007/s00330-020-07200-1 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2438991314</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2438991314</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-249a408fbb93f1cb845837c72026a5f91f291f4180aceaded3a867472b128bd33</originalsourceid><addsrcrecordid>eNp9kU1P3DAQhq2qVVkW_gAHFKmXXtKOPxLbxwpBQULiAmfLcexglI23dkLh3zPL0iL10MNobPmZdzzzEnJC4RsFkN8LAOdQA8OQDKCmH8iKCs5qCkp8JCvQXNVSa3FADkt5AABNhfxMDjhTLWMaViReLJObY5rsWPXRDlMqsVQpVNvROj_NtrLOZY-5e67iNGf7mJ78iEeX7n1GotqkXT2m3u80QlgK3uvfPg73s--ruLFDnIYj8inYsfjjt7wmdxfnt2eX9fXNz6uzH9e147KZaya0FaBC12keqOuUaBSXDudjrW2CpoFhCKoA_2d733OrWikk6yhTXc_5mnzd625z-rX4MptNLM6Po518WophgiutKcdFrcmXf9CHtGRcxY6Sqm1107RIsT3lciol-2C2GWfKz4aC2Rlh9kYYNMK8GmEoFp2-SS_dxvd_S_5sHgG-Bwo-TYPP773_I_sCytaUIw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2478669556</pqid></control><display><type>article</type><title>Functional diagnosis of placenta accreta by intravoxel incoherent motion model diffusion-weighted imaging</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Bao, Yuwei ; Pang, Ying ; Sun, Ziyan ; Li, Qian ; Tang, Dazhong ; Xia, Liming</creator><creatorcontrib>Bao, Yuwei ; Pang, Ying ; Sun, Ziyan ; Li, Qian ; Tang, Dazhong ; Xia, Liming</creatorcontrib><description>Objectives
To investigate the diagnostic value of intravoxel incoherent motion (IVIM) DWI for placenta accreta by comparing diffusion and perfusion characteristics of placentas with accreta lesions (APs) with those of normal placentas (NPs).
Methods
Twenty-five pregnant women with AP and 24 with NP underwent 3-T magnetic resonance examinations with IVIM-DWI. The perfusion percentage (
f
), pseudo-diffusion coefficient (
D
*), and diffusion coefficient (
D
) values were calculated from different ROIs: the entire-plane of the AP (AP-ROI) and NP (NP-ROI) and the implanted (IR-ROI) and non-implanted region (NIR-ROI) of the AP. The AP-ROIs and NP-ROIs were compared using covariance analysis; the IR-ROIs and NIR-ROIs were compared using the Wilcoxon signed-rank test. ROC curves were produced to evaluate the parameters for predicting placenta accreta.
Results
The
f
and
D
* values for the AP-ROIs ([45.0 ± 7.63]%, [11.64 ± 2.15]mm
2
/s) were significantly higher than those for the NP-ROIs ([31.85 ± 5.96]%, [9.04 ± 3.13]mm
2
/s) (both
p
< 0.05); the IR-ROIs (54.8%, 14.03 mm
2
/s) were also significantly higher than the NIR-ROIs (37.4%, 11.4 mm
2
/s) (both
p
< 0.05). No significant differences were found between the
D
values of the AP-ROIs and NP-ROIs (
p
> 0.05) or of the IR-ROIs and NIR-ROIs (
p
> 0.05). The areas under the curve for
f
and
D
* of the ROC curves were 0.93 and 0.79, respectively.
Conclusions
These results suggest that the IVIM parameters
f
and
D
* can be used to quantitatively evaluate the higher perfusion of AP when compared with NP. Furthermore, IVIM may be a useful functional diagnostic technique to predict placenta accreta.
Key Points
• Intravoxel incoherent motion (IVIM) may be a useful diagnostic technique to quantitatively estimate the perfusion of the placenta.
• The perfusion percentage (f) and pseudo-diffusion coefficient (D*) values differed significantly between placentas with accreta lesions and normal placentas.
•
ROC curves showed that perfusion percentage (f) and pseudo-diffusion coefficient (D*) values could accurately predict placenta accreta.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-020-07200-1</identifier><identifier>PMID: 32862290</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Covariance ; Diagnostic Radiology ; Diagnostic systems ; Diffusion ; Diffusion coefficient ; Diffusion Magnetic Resonance Imaging ; Evaluation ; Female ; Humans ; Imaging ; Infrared analysis ; Internal Medicine ; Interventional Radiology ; Lesions ; Magnetic Resonance ; Medical diagnosis ; Medicine ; Medicine & Public Health ; Motion ; Neuroradiology ; Parameters ; Perfusion ; Placenta ; Placenta Accreta - diagnostic imaging ; Pregnancy ; Radiology ; Rank tests ; ROC Curve ; Ultrasound</subject><ispartof>European radiology, 2021-02, Vol.31 (2), p.740-748</ispartof><rights>European Society of Radiology 2020</rights><rights>European Society of Radiology 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-249a408fbb93f1cb845837c72026a5f91f291f4180aceaded3a867472b128bd33</citedby><cites>FETCH-LOGICAL-c375t-249a408fbb93f1cb845837c72026a5f91f291f4180aceaded3a867472b128bd33</cites><orcidid>0000-0001-8481-3380</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-020-07200-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-020-07200-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32862290$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bao, Yuwei</creatorcontrib><creatorcontrib>Pang, Ying</creatorcontrib><creatorcontrib>Sun, Ziyan</creatorcontrib><creatorcontrib>Li, Qian</creatorcontrib><creatorcontrib>Tang, Dazhong</creatorcontrib><creatorcontrib>Xia, Liming</creatorcontrib><title>Functional diagnosis of placenta accreta by intravoxel incoherent motion model diffusion-weighted imaging</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To investigate the diagnostic value of intravoxel incoherent motion (IVIM) DWI for placenta accreta by comparing diffusion and perfusion characteristics of placentas with accreta lesions (APs) with those of normal placentas (NPs).
Methods
Twenty-five pregnant women with AP and 24 with NP underwent 3-T magnetic resonance examinations with IVIM-DWI. The perfusion percentage (
f
), pseudo-diffusion coefficient (
D
*), and diffusion coefficient (
D
) values were calculated from different ROIs: the entire-plane of the AP (AP-ROI) and NP (NP-ROI) and the implanted (IR-ROI) and non-implanted region (NIR-ROI) of the AP. The AP-ROIs and NP-ROIs were compared using covariance analysis; the IR-ROIs and NIR-ROIs were compared using the Wilcoxon signed-rank test. ROC curves were produced to evaluate the parameters for predicting placenta accreta.
Results
The
f
and
D
* values for the AP-ROIs ([45.0 ± 7.63]%, [11.64 ± 2.15]mm
2
/s) were significantly higher than those for the NP-ROIs ([31.85 ± 5.96]%, [9.04 ± 3.13]mm
2
/s) (both
p
< 0.05); the IR-ROIs (54.8%, 14.03 mm
2
/s) were also significantly higher than the NIR-ROIs (37.4%, 11.4 mm
2
/s) (both
p
< 0.05). No significant differences were found between the
D
values of the AP-ROIs and NP-ROIs (
p
> 0.05) or of the IR-ROIs and NIR-ROIs (
p
> 0.05). The areas under the curve for
f
and
D
* of the ROC curves were 0.93 and 0.79, respectively.
Conclusions
These results suggest that the IVIM parameters
f
and
D
* can be used to quantitatively evaluate the higher perfusion of AP when compared with NP. Furthermore, IVIM may be a useful functional diagnostic technique to predict placenta accreta.
Key Points
• Intravoxel incoherent motion (IVIM) may be a useful diagnostic technique to quantitatively estimate the perfusion of the placenta.
• The perfusion percentage (f) and pseudo-diffusion coefficient (D*) values differed significantly between placentas with accreta lesions and normal placentas.
•
ROC curves showed that perfusion percentage (f) and pseudo-diffusion coefficient (D*) values could accurately predict placenta accreta.</description><subject>Covariance</subject><subject>Diagnostic Radiology</subject><subject>Diagnostic systems</subject><subject>Diffusion</subject><subject>Diffusion coefficient</subject><subject>Diffusion Magnetic Resonance Imaging</subject><subject>Evaluation</subject><subject>Female</subject><subject>Humans</subject><subject>Imaging</subject><subject>Infrared analysis</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Lesions</subject><subject>Magnetic Resonance</subject><subject>Medical diagnosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Motion</subject><subject>Neuroradiology</subject><subject>Parameters</subject><subject>Perfusion</subject><subject>Placenta</subject><subject>Placenta Accreta - diagnostic imaging</subject><subject>Pregnancy</subject><subject>Radiology</subject><subject>Rank tests</subject><subject>ROC Curve</subject><subject>Ultrasound</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU1P3DAQhq2qVVkW_gAHFKmXXtKOPxLbxwpBQULiAmfLcexglI23dkLh3zPL0iL10MNobPmZdzzzEnJC4RsFkN8LAOdQA8OQDKCmH8iKCs5qCkp8JCvQXNVSa3FADkt5AABNhfxMDjhTLWMaViReLJObY5rsWPXRDlMqsVQpVNvROj_NtrLOZY-5e67iNGf7mJ78iEeX7n1GotqkXT2m3u80QlgK3uvfPg73s--ruLFDnIYj8inYsfjjt7wmdxfnt2eX9fXNz6uzH9e147KZaya0FaBC12keqOuUaBSXDudjrW2CpoFhCKoA_2d733OrWikk6yhTXc_5mnzd625z-rX4MptNLM6Po518WophgiutKcdFrcmXf9CHtGRcxY6Sqm1107RIsT3lciol-2C2GWfKz4aC2Rlh9kYYNMK8GmEoFp2-SS_dxvd_S_5sHgG-Bwo-TYPP773_I_sCytaUIw</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Bao, Yuwei</creator><creator>Pang, Ying</creator><creator>Sun, Ziyan</creator><creator>Li, Qian</creator><creator>Tang, Dazhong</creator><creator>Xia, Liming</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>7X8</scope><orcidid>https://orcid.org/0000-0001-8481-3380</orcidid></search><sort><creationdate>20210201</creationdate><title>Functional diagnosis of placenta accreta by intravoxel incoherent motion model diffusion-weighted imaging</title><author>Bao, Yuwei ; Pang, Ying ; Sun, Ziyan ; Li, Qian ; Tang, Dazhong ; Xia, Liming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-249a408fbb93f1cb845837c72026a5f91f291f4180aceaded3a867472b128bd33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Covariance</topic><topic>Diagnostic Radiology</topic><topic>Diagnostic systems</topic><topic>Diffusion</topic><topic>Diffusion coefficient</topic><topic>Diffusion Magnetic Resonance Imaging</topic><topic>Evaluation</topic><topic>Female</topic><topic>Humans</topic><topic>Imaging</topic><topic>Infrared analysis</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Lesions</topic><topic>Magnetic Resonance</topic><topic>Medical diagnosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Motion</topic><topic>Neuroradiology</topic><topic>Parameters</topic><topic>Perfusion</topic><topic>Placenta</topic><topic>Placenta Accreta - diagnostic imaging</topic><topic>Pregnancy</topic><topic>Radiology</topic><topic>Rank tests</topic><topic>ROC Curve</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bao, Yuwei</creatorcontrib><creatorcontrib>Pang, Ying</creatorcontrib><creatorcontrib>Sun, Ziyan</creatorcontrib><creatorcontrib>Li, Qian</creatorcontrib><creatorcontrib>Tang, Dazhong</creatorcontrib><creatorcontrib>Xia, Liming</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>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bao, Yuwei</au><au>Pang, Ying</au><au>Sun, Ziyan</au><au>Li, Qian</au><au>Tang, Dazhong</au><au>Xia, Liming</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Functional diagnosis of placenta accreta by intravoxel incoherent motion model diffusion-weighted imaging</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2021-02-01</date><risdate>2021</risdate><volume>31</volume><issue>2</issue><spage>740</spage><epage>748</epage><pages>740-748</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
To investigate the diagnostic value of intravoxel incoherent motion (IVIM) DWI for placenta accreta by comparing diffusion and perfusion characteristics of placentas with accreta lesions (APs) with those of normal placentas (NPs).
Methods
Twenty-five pregnant women with AP and 24 with NP underwent 3-T magnetic resonance examinations with IVIM-DWI. The perfusion percentage (
f
), pseudo-diffusion coefficient (
D
*), and diffusion coefficient (
D
) values were calculated from different ROIs: the entire-plane of the AP (AP-ROI) and NP (NP-ROI) and the implanted (IR-ROI) and non-implanted region (NIR-ROI) of the AP. The AP-ROIs and NP-ROIs were compared using covariance analysis; the IR-ROIs and NIR-ROIs were compared using the Wilcoxon signed-rank test. ROC curves were produced to evaluate the parameters for predicting placenta accreta.
Results
The
f
and
D
* values for the AP-ROIs ([45.0 ± 7.63]%, [11.64 ± 2.15]mm
2
/s) were significantly higher than those for the NP-ROIs ([31.85 ± 5.96]%, [9.04 ± 3.13]mm
2
/s) (both
p
< 0.05); the IR-ROIs (54.8%, 14.03 mm
2
/s) were also significantly higher than the NIR-ROIs (37.4%, 11.4 mm
2
/s) (both
p
< 0.05). No significant differences were found between the
D
values of the AP-ROIs and NP-ROIs (
p
> 0.05) or of the IR-ROIs and NIR-ROIs (
p
> 0.05). The areas under the curve for
f
and
D
* of the ROC curves were 0.93 and 0.79, respectively.
Conclusions
These results suggest that the IVIM parameters
f
and
D
* can be used to quantitatively evaluate the higher perfusion of AP when compared with NP. Furthermore, IVIM may be a useful functional diagnostic technique to predict placenta accreta.
Key Points
• Intravoxel incoherent motion (IVIM) may be a useful diagnostic technique to quantitatively estimate the perfusion of the placenta.
• The perfusion percentage (f) and pseudo-diffusion coefficient (D*) values differed significantly between placentas with accreta lesions and normal placentas.
•
ROC curves showed that perfusion percentage (f) and pseudo-diffusion coefficient (D*) values could accurately predict placenta accreta.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>32862290</pmid><doi>10.1007/s00330-020-07200-1</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-8481-3380</orcidid></addata></record> |
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source | MEDLINE; SpringerLink Journals - AutoHoldings |
subjects | Covariance Diagnostic Radiology Diagnostic systems Diffusion Diffusion coefficient Diffusion Magnetic Resonance Imaging Evaluation Female Humans Imaging Infrared analysis Internal Medicine Interventional Radiology Lesions Magnetic Resonance Medical diagnosis Medicine Medicine & Public Health Motion Neuroradiology Parameters Perfusion Placenta Placenta Accreta - diagnostic imaging Pregnancy Radiology Rank tests ROC Curve Ultrasound |
title | Functional diagnosis of placenta accreta by intravoxel incoherent motion model diffusion-weighted imaging |
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