Clinical Translation of Tumor Acidosis Measurements with AcidoCEST MRI
Purpose We optimized acido-chemical exchange saturation transfer (acidoCEST) magnetic resonance imaging (MRI), a method that measures extracellular pH (pHe), and translated this method to the radiology clinic to evaluate tumor acidosis. Procedures A CEST-FISP MRI protocol was used to image a flank S...
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| Veröffentlicht in: | Molecular imaging and biology 2017-08, Vol.19 (4), p.617-625 |
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| creator | Jones, Kyle M. Randtke, Edward A. Yoshimaru, Eriko S. Howison, Christine M. Chalasani, Pavani Klein, Robert R. Chambers, Setsuko K. Kuo, Phillip H. Pagel, Mark D. |
| description | Purpose
We optimized acido-chemical exchange saturation transfer (acidoCEST) magnetic resonance imaging (MRI), a method that measures extracellular pH (pHe), and translated this method to the radiology clinic to evaluate tumor acidosis.
Procedures
A CEST-FISP MRI protocol was used to image a flank SKOV3 tumor model. Bloch fitting modified to include the direct estimation of pH was developed to generate parametric maps of tumor pHe in the SKOV3 tumor model, a patient with high-grade invasive ductal carcinoma, and a patient with metastatic ovarian cancer. The acidoCEST MRI results of the patient with metastatic ovarian cancer were compared with DCE MRI and histopathology.
Results
The pHe maps of a flank model showed pHe measurements between 6.4 and 7.4, which matched with the expected tumor pHe range from past acidoCEST MRI studies in flank tumors. In the patient with metastatic ovarian cancer, the average pHe value of three adjacent tumors was 6.58, and the most reliable pHe measurements were obtained from the right posterior tumor, which favorably compared with DCE MRI and histopathological results. The average pHe of the kidney showed an average pHe of 6.73 units. The patient with high-grade invasive ductal carcinoma failed to accumulate sufficient agent to generate pHe measurements.
Conclusions
Optimized acidoCEST MRI generated pHe measurements in a flank tumor model and could be translated to the clinic to assess a patient with metastatic ovarian cancer. |
| doi_str_mv | 10.1007/s11307-016-1029-7 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6010170</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1916107792</sourcerecordid><originalsourceid>FETCH-LOGICAL-c470t-16aae0593dac119a0be182269115a54a52d3956260728e12ef415986004e71873</originalsourceid><addsrcrecordid>eNp1kV1LwzAYhYMofkx_gDdS8Mab6vumbdLcCGNsOnAIOq9D1mVbpG00aRX_vRmdYwpeJXCenJzDIeQc4RoB-I1HTIDHgCxGoCLme-QYcwYxBaD74Z4lQWEJPSIn3r8CIEeaHJIjynPBGM2PyWhQmtoUqoymTtW-VI2xdWQX0bStrIv6hZlbb3w00cq3Tle6bnz0aZpVJw2Gz9No8jQ-JQcLVXp9tjl75GU0nA7u44fHu_Gg_xAXKYcmZFFKQyaSuSoQhYKZxpxSJhAzlaUqo_NEZIwy4DTXSPUixUyERpBqjjlPeuS2831rZ5WeFyGOU6V8c6ZS7ktaZeRvpTYrubQfkgGG9hAMrjYGzr632jeyMr7QZalqbVsvMU9TBgJoGtDLP-irbV0d6kkUyBA4FzRQ2FGFs947vdiGQZDrlWS3kgwryfVKct3iYrfF9sXPLAGgHeCDVC-12_n6X9dvDF-apg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1916107792</pqid></control><display><type>article</type><title>Clinical Translation of Tumor Acidosis Measurements with AcidoCEST MRI</title><source>MEDLINE</source><source>SpringerLink (Online service)</source><creator>Jones, Kyle M. ; Randtke, Edward A. ; Yoshimaru, Eriko S. ; Howison, Christine M. ; Chalasani, Pavani ; Klein, Robert R. ; Chambers, Setsuko K. ; Kuo, Phillip H. ; Pagel, Mark D.</creator><creatorcontrib>Jones, Kyle M. ; Randtke, Edward A. ; Yoshimaru, Eriko S. ; Howison, Christine M. ; Chalasani, Pavani ; Klein, Robert R. ; Chambers, Setsuko K. ; Kuo, Phillip H. ; Pagel, Mark D.</creatorcontrib><description>Purpose
We optimized acido-chemical exchange saturation transfer (acidoCEST) magnetic resonance imaging (MRI), a method that measures extracellular pH (pHe), and translated this method to the radiology clinic to evaluate tumor acidosis.
Procedures
A CEST-FISP MRI protocol was used to image a flank SKOV3 tumor model. Bloch fitting modified to include the direct estimation of pH was developed to generate parametric maps of tumor pHe in the SKOV3 tumor model, a patient with high-grade invasive ductal carcinoma, and a patient with metastatic ovarian cancer. The acidoCEST MRI results of the patient with metastatic ovarian cancer were compared with DCE MRI and histopathology.
Results
The pHe maps of a flank model showed pHe measurements between 6.4 and 7.4, which matched with the expected tumor pHe range from past acidoCEST MRI studies in flank tumors. In the patient with metastatic ovarian cancer, the average pHe value of three adjacent tumors was 6.58, and the most reliable pHe measurements were obtained from the right posterior tumor, which favorably compared with DCE MRI and histopathological results. The average pHe of the kidney showed an average pHe of 6.73 units. The patient with high-grade invasive ductal carcinoma failed to accumulate sufficient agent to generate pHe measurements.
Conclusions
Optimized acidoCEST MRI generated pHe measurements in a flank tumor model and could be translated to the clinic to assess a patient with metastatic ovarian cancer.</description><identifier>ISSN: 1536-1632</identifier><identifier>EISSN: 1860-2002</identifier><identifier>DOI: 10.1007/s11307-016-1029-7</identifier><identifier>PMID: 27896628</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Acidosis ; Acidosis - diagnostic imaging ; Acidosis - pathology ; Animals ; Cancer ; Carcinoma, Ovarian Epithelial ; Cell Line, Tumor ; Computer Simulation ; Disease Models, Animal ; Histopathology ; Humans ; Imaging ; Invasiveness ; Kidneys ; Magnetic Resonance Imaging ; Medicine ; Medicine & Public Health ; Metastases ; Metastasis ; Mice ; Neoplasm Metastasis ; Neoplasms, Glandular and Epithelial - pathology ; NMR ; Nuclear magnetic resonance ; Ovarian cancer ; Ovarian Neoplasms - pathology ; Quality ; Radiology ; Research Article ; Resonance ; Saturation ; Translational Medical Research ; Tumors</subject><ispartof>Molecular imaging and biology, 2017-08, Vol.19 (4), p.617-625</ispartof><rights>World Molecular Imaging Society 2016</rights><rights>Molecular Imaging and Biology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-16aae0593dac119a0be182269115a54a52d3956260728e12ef415986004e71873</citedby><cites>FETCH-LOGICAL-c470t-16aae0593dac119a0be182269115a54a52d3956260728e12ef415986004e71873</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/s11307-016-1029-7$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11307-016-1029-7$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27896628$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jones, Kyle M.</creatorcontrib><creatorcontrib>Randtke, Edward A.</creatorcontrib><creatorcontrib>Yoshimaru, Eriko S.</creatorcontrib><creatorcontrib>Howison, Christine M.</creatorcontrib><creatorcontrib>Chalasani, Pavani</creatorcontrib><creatorcontrib>Klein, Robert R.</creatorcontrib><creatorcontrib>Chambers, Setsuko K.</creatorcontrib><creatorcontrib>Kuo, Phillip H.</creatorcontrib><creatorcontrib>Pagel, Mark D.</creatorcontrib><title>Clinical Translation of Tumor Acidosis Measurements with AcidoCEST MRI</title><title>Molecular imaging and biology</title><addtitle>Mol Imaging Biol</addtitle><addtitle>Mol Imaging Biol</addtitle><description>Purpose
We optimized acido-chemical exchange saturation transfer (acidoCEST) magnetic resonance imaging (MRI), a method that measures extracellular pH (pHe), and translated this method to the radiology clinic to evaluate tumor acidosis.
Procedures
A CEST-FISP MRI protocol was used to image a flank SKOV3 tumor model. Bloch fitting modified to include the direct estimation of pH was developed to generate parametric maps of tumor pHe in the SKOV3 tumor model, a patient with high-grade invasive ductal carcinoma, and a patient with metastatic ovarian cancer. The acidoCEST MRI results of the patient with metastatic ovarian cancer were compared with DCE MRI and histopathology.
Results
The pHe maps of a flank model showed pHe measurements between 6.4 and 7.4, which matched with the expected tumor pHe range from past acidoCEST MRI studies in flank tumors. In the patient with metastatic ovarian cancer, the average pHe value of three adjacent tumors was 6.58, and the most reliable pHe measurements were obtained from the right posterior tumor, which favorably compared with DCE MRI and histopathological results. The average pHe of the kidney showed an average pHe of 6.73 units. The patient with high-grade invasive ductal carcinoma failed to accumulate sufficient agent to generate pHe measurements.
Conclusions
Optimized acidoCEST MRI generated pHe measurements in a flank tumor model and could be translated to the clinic to assess a patient with metastatic ovarian cancer.</description><subject>Acidosis</subject><subject>Acidosis - diagnostic imaging</subject><subject>Acidosis - pathology</subject><subject>Animals</subject><subject>Cancer</subject><subject>Carcinoma, Ovarian Epithelial</subject><subject>Cell Line, Tumor</subject><subject>Computer Simulation</subject><subject>Disease Models, Animal</subject><subject>Histopathology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Invasiveness</subject><subject>Kidneys</subject><subject>Magnetic Resonance Imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Mice</subject><subject>Neoplasm Metastasis</subject><subject>Neoplasms, Glandular and Epithelial - pathology</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Ovarian cancer</subject><subject>Ovarian Neoplasms - pathology</subject><subject>Quality</subject><subject>Radiology</subject><subject>Research Article</subject><subject>Resonance</subject><subject>Saturation</subject><subject>Translational Medical Research</subject><subject>Tumors</subject><issn>1536-1632</issn><issn>1860-2002</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</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>eNp1kV1LwzAYhYMofkx_gDdS8Mab6vumbdLcCGNsOnAIOq9D1mVbpG00aRX_vRmdYwpeJXCenJzDIeQc4RoB-I1HTIDHgCxGoCLme-QYcwYxBaD74Z4lQWEJPSIn3r8CIEeaHJIjynPBGM2PyWhQmtoUqoymTtW-VI2xdWQX0bStrIv6hZlbb3w00cq3Tle6bnz0aZpVJw2Gz9No8jQ-JQcLVXp9tjl75GU0nA7u44fHu_Gg_xAXKYcmZFFKQyaSuSoQhYKZxpxSJhAzlaUqo_NEZIwy4DTXSPUixUyERpBqjjlPeuS2831rZ5WeFyGOU6V8c6ZS7ktaZeRvpTYrubQfkgGG9hAMrjYGzr632jeyMr7QZalqbVsvMU9TBgJoGtDLP-irbV0d6kkUyBA4FzRQ2FGFs947vdiGQZDrlWS3kgwryfVKct3iYrfF9sXPLAGgHeCDVC-12_n6X9dvDF-apg</recordid><startdate>20170801</startdate><enddate>20170801</enddate><creator>Jones, Kyle M.</creator><creator>Randtke, Edward A.</creator><creator>Yoshimaru, Eriko S.</creator><creator>Howison, Christine M.</creator><creator>Chalasani, Pavani</creator><creator>Klein, Robert R.</creator><creator>Chambers, Setsuko K.</creator><creator>Kuo, Phillip H.</creator><creator>Pagel, Mark D.</creator><general>Springer US</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>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</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>L6V</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170801</creationdate><title>Clinical Translation of Tumor Acidosis Measurements with AcidoCEST MRI</title><author>Jones, Kyle M. ; Randtke, Edward A. ; Yoshimaru, Eriko S. ; Howison, Christine M. ; Chalasani, Pavani ; Klein, Robert R. ; Chambers, Setsuko K. ; Kuo, Phillip H. ; Pagel, Mark D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-16aae0593dac119a0be182269115a54a52d3956260728e12ef415986004e71873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Acidosis</topic><topic>Acidosis - diagnostic imaging</topic><topic>Acidosis - pathology</topic><topic>Animals</topic><topic>Cancer</topic><topic>Carcinoma, Ovarian Epithelial</topic><topic>Cell Line, Tumor</topic><topic>Computer Simulation</topic><topic>Disease Models, Animal</topic><topic>Histopathology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Invasiveness</topic><topic>Kidneys</topic><topic>Magnetic Resonance Imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Mice</topic><topic>Neoplasm Metastasis</topic><topic>Neoplasms, Glandular and Epithelial - pathology</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Ovarian cancer</topic><topic>Ovarian Neoplasms - pathology</topic><topic>Quality</topic><topic>Radiology</topic><topic>Research Article</topic><topic>Resonance</topic><topic>Saturation</topic><topic>Translational Medical Research</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jones, Kyle M.</creatorcontrib><creatorcontrib>Randtke, Edward A.</creatorcontrib><creatorcontrib>Yoshimaru, Eriko S.</creatorcontrib><creatorcontrib>Howison, Christine M.</creatorcontrib><creatorcontrib>Chalasani, Pavani</creatorcontrib><creatorcontrib>Klein, Robert R.</creatorcontrib><creatorcontrib>Chambers, Setsuko K.</creatorcontrib><creatorcontrib>Kuo, Phillip H.</creatorcontrib><creatorcontrib>Pagel, Mark D.</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>ProQuest Nursing and Allied Health Journals</collection><collection>ProQuest_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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</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 Engineering Collection</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</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>Engineering collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Molecular imaging and biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jones, Kyle M.</au><au>Randtke, Edward A.</au><au>Yoshimaru, Eriko S.</au><au>Howison, Christine M.</au><au>Chalasani, Pavani</au><au>Klein, Robert R.</au><au>Chambers, Setsuko K.</au><au>Kuo, Phillip H.</au><au>Pagel, Mark D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical Translation of Tumor Acidosis Measurements with AcidoCEST MRI</atitle><jtitle>Molecular imaging and biology</jtitle><stitle>Mol Imaging Biol</stitle><addtitle>Mol Imaging Biol</addtitle><date>2017-08-01</date><risdate>2017</risdate><volume>19</volume><issue>4</issue><spage>617</spage><epage>625</epage><pages>617-625</pages><issn>1536-1632</issn><eissn>1860-2002</eissn><abstract>Purpose
We optimized acido-chemical exchange saturation transfer (acidoCEST) magnetic resonance imaging (MRI), a method that measures extracellular pH (pHe), and translated this method to the radiology clinic to evaluate tumor acidosis.
Procedures
A CEST-FISP MRI protocol was used to image a flank SKOV3 tumor model. Bloch fitting modified to include the direct estimation of pH was developed to generate parametric maps of tumor pHe in the SKOV3 tumor model, a patient with high-grade invasive ductal carcinoma, and a patient with metastatic ovarian cancer. The acidoCEST MRI results of the patient with metastatic ovarian cancer were compared with DCE MRI and histopathology.
Results
The pHe maps of a flank model showed pHe measurements between 6.4 and 7.4, which matched with the expected tumor pHe range from past acidoCEST MRI studies in flank tumors. In the patient with metastatic ovarian cancer, the average pHe value of three adjacent tumors was 6.58, and the most reliable pHe measurements were obtained from the right posterior tumor, which favorably compared with DCE MRI and histopathological results. The average pHe of the kidney showed an average pHe of 6.73 units. The patient with high-grade invasive ductal carcinoma failed to accumulate sufficient agent to generate pHe measurements.
Conclusions
Optimized acidoCEST MRI generated pHe measurements in a flank tumor model and could be translated to the clinic to assess a patient with metastatic ovarian cancer.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>27896628</pmid><doi>10.1007/s11307-016-1029-7</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Acidosis Acidosis - diagnostic imaging Acidosis - pathology Animals Cancer Carcinoma, Ovarian Epithelial Cell Line, Tumor Computer Simulation Disease Models, Animal Histopathology Humans Imaging Invasiveness Kidneys Magnetic Resonance Imaging Medicine Medicine & Public Health Metastases Metastasis Mice Neoplasm Metastasis Neoplasms, Glandular and Epithelial - pathology NMR Nuclear magnetic resonance Ovarian cancer Ovarian Neoplasms - pathology Quality Radiology Research Article Resonance Saturation Translational Medical Research Tumors |
| title | Clinical Translation of Tumor Acidosis Measurements with AcidoCEST MRI |
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