Role of volumetric multiparametric MRI in distinguishing between intraductal papillary mucinous neoplasms and serous cystadenoma
Purpose To evaluate the use of volumetric multiparametric MRI in differentiating pancreatic intraductal papillary mucinous neoplasms (IPMNs) from serous cystadenomas (SCAs) Methods Included patients (123 patients with pancreatic cystic neoplasms (PCNs) measuring ≥ 10 mm) were stratified into two gro...
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| Veröffentlicht in: | Abdominal imaging 2021-04, Vol.46 (4), p.1629-1639 |
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| creator | Ghadimi, Maryam Pandey, Pallavi Rezvani Habibabadi, Roya Motaghi, Mina Shaghaghi, Mohammadreza Khoshpouri, Pegah Pandey, Ankur Hazhirkarzar, Bita Ameli, Sanaz Ghasabeh, Mounes Aliyari Baghdadi, Azarakhsh Kamel, Ihab R. |
| description | Purpose
To evaluate the use of volumetric multiparametric MRI in differentiating pancreatic intraductal papillary mucinous neoplasms (IPMNs) from serous cystadenomas (SCAs)
Methods
Included patients (123 patients with pancreatic cystic neoplasms (PCNs) measuring ≥ 10 mm) were stratified into two groups based on cyst type. Axial cyst size, region of interest (ROI)-based apparent diffusion coefficient (ADC) and volumetric data, including cyst volume, volumetric apparent diffusion coefficient (vADC), and volumetric venous enhancement (vVE) were extracted and compared between the two groups. Univariate and multiple logistic regression was used to develop models for distinguishing between IPMNs and SCAs.
Results
Volume and size of the cysts, vVE and vADC and ROI-ADC were significantly different between the two groups. Cyst volume was significantly larger in SCAs (median = 14.1cm
3
, IQR 3.5–42.5) than in IPMNs (median = 2.5 cm
3
, IQR 1.1–6) (
p
|
| doi_str_mv | 10.1007/s00261-020-02792-0 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2449957942</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2449957942</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-5e17c12ca254ee873fbfe1e84096ee8a8bc3f38c3dc9bd0baf710c8b7f5717883</originalsourceid><addsrcrecordid>eNp9kU1rFjEQx4MotrT9Ah4k4MXL2kmy2WSPUnwptAjFQm8hm52tKbubNS9Kb350U5_HCh56CJPJ_OY_E_6EvGLwjgGo0wTAO9YAh3pUzxt4Rg656LoGQOrnj_f25oCcpHQHAKyTjHH5khwIAULonh-SX1dhRhom-iPMZcEcvaNLmbPfbLT7_PLqnPqVjj5lv94Wn77VQAfMPxHXWsnRjsVlO9PNbn6ebbyvGs6voSS6Ythmm5ZE7TrShPHh0d2nbEdcw2KPyYvJzglP9vGIXH_88PXsc3Px5dP52fuLxgklcyORKce4s1y2iFqJaZiQoW6h72pu9eDEJLQTo-uHEQY7KQZOD2qSiimtxRF5u9PdYvheMGWz-OSwbls3LMnwtu17qfqWV_TNf-hdKHGt2xkuOdNMMSkrxXeUiyGliJPZol_q3w0D82CR2VlkqkXmj0UGatPrvXQZFhwfW_4aUgGxA1ItrbcY_81-QvY3Yl6fLA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2521817155</pqid></control><display><type>article</type><title>Role of volumetric multiparametric MRI in distinguishing between intraductal papillary mucinous neoplasms and serous cystadenoma</title><source>SpringerLink Journals</source><creator>Ghadimi, Maryam ; Pandey, Pallavi ; Rezvani Habibabadi, Roya ; Motaghi, Mina ; Shaghaghi, Mohammadreza ; Khoshpouri, Pegah ; Pandey, Ankur ; Hazhirkarzar, Bita ; Ameli, Sanaz ; Ghasabeh, Mounes Aliyari ; Baghdadi, Azarakhsh ; Kamel, Ihab R.</creator><creatorcontrib>Ghadimi, Maryam ; Pandey, Pallavi ; Rezvani Habibabadi, Roya ; Motaghi, Mina ; Shaghaghi, Mohammadreza ; Khoshpouri, Pegah ; Pandey, Ankur ; Hazhirkarzar, Bita ; Ameli, Sanaz ; Ghasabeh, Mounes Aliyari ; Baghdadi, Azarakhsh ; Kamel, Ihab R.</creatorcontrib><description>Purpose
To evaluate the use of volumetric multiparametric MRI in differentiating pancreatic intraductal papillary mucinous neoplasms (IPMNs) from serous cystadenomas (SCAs)
Methods
Included patients (123 patients with pancreatic cystic neoplasms (PCNs) measuring ≥ 10 mm) were stratified into two groups based on cyst type. Axial cyst size, region of interest (ROI)-based apparent diffusion coefficient (ADC) and volumetric data, including cyst volume, volumetric apparent diffusion coefficient (vADC), and volumetric venous enhancement (vVE) were extracted and compared between the two groups. Univariate and multiple logistic regression was used to develop models for distinguishing between IPMNs and SCAs.
Results
Volume and size of the cysts, vVE and vADC and ROI-ADC were significantly different between the two groups. Cyst volume was significantly larger in SCAs (median = 14.1cm
3
, IQR 3.5–42.5) than in IPMNs (median = 2.5 cm
3
, IQR 1.1–6) (
p
< 0.001). IPMNs had a higher volumetric ADC value in comparison to SCAs (2925 ± 294 × 10
–6
mm
2
/s vs 2521 ± 202 × 10
–6
mm
2
/s,
p
< 0.001). However, IPMNs had lower vVE values compared to SCAs (37 signal intensity (SI) vs 86 SI,
p
< 0.001). Area under the ROC Curve (AUC) of the model that included vADC and cyst volume had 95% accuracy in distinguishing between the two groups. In comparison, the AUC of the model that included ROI-ADC and axial cyst size had 84% accuracy in distinguishing between the two groups.
A threshold of 2615 × 10
−6
mm
2
/s for volumetric ADC resulted in the identification of IPMNs from SCAs with sensitivity and specificity of 90.8% and 73.5%, respectively.
Conclusion
IPMNs had smaller cyst volume, higher volumetric ADC and lower volumetric VE values compared to SCAs. Volumetric multiparametric MRI could be useful in differentiating between the IPMN and SCA groups.</description><identifier>ISSN: 2366-004X</identifier><identifier>EISSN: 2366-0058</identifier><identifier>DOI: 10.1007/s00261-020-02792-0</identifier><identifier>PMID: 33033892</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Cysts ; Diffusion coefficient ; Gastroenterology ; Hepatology ; Imaging ; Magnetic resonance imaging ; Medicine ; Medicine & Public Health ; Neoplasms ; Pancreas ; Pancreatic cancer ; Radiology ; Regression analysis ; Tumors</subject><ispartof>Abdominal imaging, 2021-04, Vol.46 (4), p.1629-1639</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020</rights><rights>Springer Science+Business Media, LLC, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-5e17c12ca254ee873fbfe1e84096ee8a8bc3f38c3dc9bd0baf710c8b7f5717883</citedby><cites>FETCH-LOGICAL-c375t-5e17c12ca254ee873fbfe1e84096ee8a8bc3f38c3dc9bd0baf710c8b7f5717883</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/s00261-020-02792-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00261-020-02792-0$$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/33033892$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ghadimi, Maryam</creatorcontrib><creatorcontrib>Pandey, Pallavi</creatorcontrib><creatorcontrib>Rezvani Habibabadi, Roya</creatorcontrib><creatorcontrib>Motaghi, Mina</creatorcontrib><creatorcontrib>Shaghaghi, Mohammadreza</creatorcontrib><creatorcontrib>Khoshpouri, Pegah</creatorcontrib><creatorcontrib>Pandey, Ankur</creatorcontrib><creatorcontrib>Hazhirkarzar, Bita</creatorcontrib><creatorcontrib>Ameli, Sanaz</creatorcontrib><creatorcontrib>Ghasabeh, Mounes Aliyari</creatorcontrib><creatorcontrib>Baghdadi, Azarakhsh</creatorcontrib><creatorcontrib>Kamel, Ihab R.</creatorcontrib><title>Role of volumetric multiparametric MRI in distinguishing between intraductal papillary mucinous neoplasms and serous cystadenoma</title><title>Abdominal imaging</title><addtitle>Abdom Radiol</addtitle><addtitle>Abdom Radiol (NY)</addtitle><description>Purpose
To evaluate the use of volumetric multiparametric MRI in differentiating pancreatic intraductal papillary mucinous neoplasms (IPMNs) from serous cystadenomas (SCAs)
Methods
Included patients (123 patients with pancreatic cystic neoplasms (PCNs) measuring ≥ 10 mm) were stratified into two groups based on cyst type. Axial cyst size, region of interest (ROI)-based apparent diffusion coefficient (ADC) and volumetric data, including cyst volume, volumetric apparent diffusion coefficient (vADC), and volumetric venous enhancement (vVE) were extracted and compared between the two groups. Univariate and multiple logistic regression was used to develop models for distinguishing between IPMNs and SCAs.
Results
Volume and size of the cysts, vVE and vADC and ROI-ADC were significantly different between the two groups. Cyst volume was significantly larger in SCAs (median = 14.1cm
3
, IQR 3.5–42.5) than in IPMNs (median = 2.5 cm
3
, IQR 1.1–6) (
p
< 0.001). IPMNs had a higher volumetric ADC value in comparison to SCAs (2925 ± 294 × 10
–6
mm
2
/s vs 2521 ± 202 × 10
–6
mm
2
/s,
p
< 0.001). However, IPMNs had lower vVE values compared to SCAs (37 signal intensity (SI) vs 86 SI,
p
< 0.001). Area under the ROC Curve (AUC) of the model that included vADC and cyst volume had 95% accuracy in distinguishing between the two groups. In comparison, the AUC of the model that included ROI-ADC and axial cyst size had 84% accuracy in distinguishing between the two groups.
A threshold of 2615 × 10
−6
mm
2
/s for volumetric ADC resulted in the identification of IPMNs from SCAs with sensitivity and specificity of 90.8% and 73.5%, respectively.
Conclusion
IPMNs had smaller cyst volume, higher volumetric ADC and lower volumetric VE values compared to SCAs. Volumetric multiparametric MRI could be useful in differentiating between the IPMN and SCA groups.</description><subject>Cysts</subject><subject>Diffusion coefficient</subject><subject>Gastroenterology</subject><subject>Hepatology</subject><subject>Imaging</subject><subject>Magnetic resonance imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neoplasms</subject><subject>Pancreas</subject><subject>Pancreatic cancer</subject><subject>Radiology</subject><subject>Regression analysis</subject><subject>Tumors</subject><issn>2366-004X</issn><issn>2366-0058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kU1rFjEQx4MotrT9Ah4k4MXL2kmy2WSPUnwptAjFQm8hm52tKbubNS9Kb350U5_HCh56CJPJ_OY_E_6EvGLwjgGo0wTAO9YAh3pUzxt4Rg656LoGQOrnj_f25oCcpHQHAKyTjHH5khwIAULonh-SX1dhRhom-iPMZcEcvaNLmbPfbLT7_PLqnPqVjj5lv94Wn77VQAfMPxHXWsnRjsVlO9PNbn6ebbyvGs6voSS6Ythmm5ZE7TrShPHh0d2nbEdcw2KPyYvJzglP9vGIXH_88PXsc3Px5dP52fuLxgklcyORKce4s1y2iFqJaZiQoW6h72pu9eDEJLQTo-uHEQY7KQZOD2qSiimtxRF5u9PdYvheMGWz-OSwbls3LMnwtu17qfqWV_TNf-hdKHGt2xkuOdNMMSkrxXeUiyGliJPZol_q3w0D82CR2VlkqkXmj0UGatPrvXQZFhwfW_4aUgGxA1ItrbcY_81-QvY3Yl6fLA</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Ghadimi, Maryam</creator><creator>Pandey, Pallavi</creator><creator>Rezvani Habibabadi, Roya</creator><creator>Motaghi, Mina</creator><creator>Shaghaghi, Mohammadreza</creator><creator>Khoshpouri, Pegah</creator><creator>Pandey, Ankur</creator><creator>Hazhirkarzar, Bita</creator><creator>Ameli, Sanaz</creator><creator>Ghasabeh, Mounes Aliyari</creator><creator>Baghdadi, Azarakhsh</creator><creator>Kamel, Ihab R.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</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>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7Z</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>20210401</creationdate><title>Role of volumetric multiparametric MRI in distinguishing between intraductal papillary mucinous neoplasms and serous cystadenoma</title><author>Ghadimi, Maryam ; Pandey, Pallavi ; Rezvani Habibabadi, Roya ; Motaghi, Mina ; Shaghaghi, Mohammadreza ; Khoshpouri, Pegah ; Pandey, Ankur ; Hazhirkarzar, Bita ; Ameli, Sanaz ; Ghasabeh, Mounes Aliyari ; Baghdadi, Azarakhsh ; Kamel, Ihab R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-5e17c12ca254ee873fbfe1e84096ee8a8bc3f38c3dc9bd0baf710c8b7f5717883</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Cysts</topic><topic>Diffusion coefficient</topic><topic>Gastroenterology</topic><topic>Hepatology</topic><topic>Imaging</topic><topic>Magnetic resonance imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neoplasms</topic><topic>Pancreas</topic><topic>Pancreatic cancer</topic><topic>Radiology</topic><topic>Regression analysis</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghadimi, Maryam</creatorcontrib><creatorcontrib>Pandey, Pallavi</creatorcontrib><creatorcontrib>Rezvani Habibabadi, Roya</creatorcontrib><creatorcontrib>Motaghi, Mina</creatorcontrib><creatorcontrib>Shaghaghi, Mohammadreza</creatorcontrib><creatorcontrib>Khoshpouri, Pegah</creatorcontrib><creatorcontrib>Pandey, Ankur</creatorcontrib><creatorcontrib>Hazhirkarzar, Bita</creatorcontrib><creatorcontrib>Ameli, Sanaz</creatorcontrib><creatorcontrib>Ghasabeh, Mounes Aliyari</creatorcontrib><creatorcontrib>Baghdadi, Azarakhsh</creatorcontrib><creatorcontrib>Kamel, Ihab R.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</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 Computer Science Collection</collection><collection>Computer Science Database</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>Biochemistry Abstracts 1</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>Abdominal imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghadimi, Maryam</au><au>Pandey, Pallavi</au><au>Rezvani Habibabadi, Roya</au><au>Motaghi, Mina</au><au>Shaghaghi, Mohammadreza</au><au>Khoshpouri, Pegah</au><au>Pandey, Ankur</au><au>Hazhirkarzar, Bita</au><au>Ameli, Sanaz</au><au>Ghasabeh, Mounes Aliyari</au><au>Baghdadi, Azarakhsh</au><au>Kamel, Ihab R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Role of volumetric multiparametric MRI in distinguishing between intraductal papillary mucinous neoplasms and serous cystadenoma</atitle><jtitle>Abdominal imaging</jtitle><stitle>Abdom Radiol</stitle><addtitle>Abdom Radiol (NY)</addtitle><date>2021-04-01</date><risdate>2021</risdate><volume>46</volume><issue>4</issue><spage>1629</spage><epage>1639</epage><pages>1629-1639</pages><issn>2366-004X</issn><eissn>2366-0058</eissn><abstract>Purpose
To evaluate the use of volumetric multiparametric MRI in differentiating pancreatic intraductal papillary mucinous neoplasms (IPMNs) from serous cystadenomas (SCAs)
Methods
Included patients (123 patients with pancreatic cystic neoplasms (PCNs) measuring ≥ 10 mm) were stratified into two groups based on cyst type. Axial cyst size, region of interest (ROI)-based apparent diffusion coefficient (ADC) and volumetric data, including cyst volume, volumetric apparent diffusion coefficient (vADC), and volumetric venous enhancement (vVE) were extracted and compared between the two groups. Univariate and multiple logistic regression was used to develop models for distinguishing between IPMNs and SCAs.
Results
Volume and size of the cysts, vVE and vADC and ROI-ADC were significantly different between the two groups. Cyst volume was significantly larger in SCAs (median = 14.1cm
3
, IQR 3.5–42.5) than in IPMNs (median = 2.5 cm
3
, IQR 1.1–6) (
p
< 0.001). IPMNs had a higher volumetric ADC value in comparison to SCAs (2925 ± 294 × 10
–6
mm
2
/s vs 2521 ± 202 × 10
–6
mm
2
/s,
p
< 0.001). However, IPMNs had lower vVE values compared to SCAs (37 signal intensity (SI) vs 86 SI,
p
< 0.001). Area under the ROC Curve (AUC) of the model that included vADC and cyst volume had 95% accuracy in distinguishing between the two groups. In comparison, the AUC of the model that included ROI-ADC and axial cyst size had 84% accuracy in distinguishing between the two groups.
A threshold of 2615 × 10
−6
mm
2
/s for volumetric ADC resulted in the identification of IPMNs from SCAs with sensitivity and specificity of 90.8% and 73.5%, respectively.
Conclusion
IPMNs had smaller cyst volume, higher volumetric ADC and lower volumetric VE values compared to SCAs. Volumetric multiparametric MRI could be useful in differentiating between the IPMN and SCA groups.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>33033892</pmid><doi>10.1007/s00261-020-02792-0</doi><tpages>11</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2366-004X |
| ispartof | Abdominal imaging, 2021-04, Vol.46 (4), p.1629-1639 |
| issn | 2366-004X 2366-0058 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2449957942 |
| source | SpringerLink Journals |
| subjects | Cysts Diffusion coefficient Gastroenterology Hepatology Imaging Magnetic resonance imaging Medicine Medicine & Public Health Neoplasms Pancreas Pancreatic cancer Radiology Regression analysis Tumors |
| title | Role of volumetric multiparametric MRI in distinguishing between intraductal papillary mucinous neoplasms and serous cystadenoma |
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