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Assessment of Cervical Cancer with a Parameter-Free Intravoxel Incoherent Motion Imaging Algorithm
To evaluate the feasibility of a parameter-free intravoxel incoherent motion (IVIM) approach in cervical cancer, to assess the optimal b-value threshold, and to preliminarily examine differences in the derived perfusion and diffusion parameters for different histological cancer types. After Institut...
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Published in: | Korean journal of radiology 2017, 18(3), , pp.510-518 |
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description | To evaluate the feasibility of a parameter-free intravoxel incoherent motion (IVIM) approach in cervical cancer, to assess the optimal b-value threshold, and to preliminarily examine differences in the derived perfusion and diffusion parameters for different histological cancer types.
After Institutional Review Board approval, 19 female patients (mean age, 54 years; age range, 37-78 years) gave consent and were enrolled in this prospective magnetic resonance imaging study. Clinical staging and biopsy results were obtained. Echo-planar diffusion weighted sequences at 13 b-values were acquired at 3 tesla field strength. Single-sliced region-of-interest IVIM analysis with adaptive b-value thresholds was applied to each tumor, yielding the optimal fit and the optimal parameters for pseudodiffusion (D
), perfusion fraction (F
) and diffusion coefficient (D). Monoexponential apparent diffusion coefficient (ADC) was calculated for comparison with D.
Biopsy revealed squamous cell carcinoma in 10 patients and adenocarcinoma in 9. The b-value threshold (median [interquartile range]) depended on the histological type and was 35 (22.5-50) s/mm
in squamous cell carcinoma and 150 (100-150) s/mm
in adenocarcinoma (
< 0.05). Comparing squamous cell vs. adenocarcinoma, D
(45.1 [25.1-60.4] × 10
mm
/s vs. 12.4 [10.5-21.2] × 10
mm
/s) and F
(7.5% [7.0-9.0%] vs. 9.9% [9.0-11.4%]) differed significantly between the subtypes (
< 0.02), whereas D did not (0.89 [0.75-0.94] × 10
mm
/s vs. 0.90 [0.82-0.97] × 10
mm
/s,
= 0.27). The residuals did not differ (0.74 [0.60-0.92] vs. 0.94 [0.67-1.01],
= 0.32). The ADC systematically underestimated the magnitude of diffusion restriction compared to D (
< 0.001).
The parameter-free IVIM approach is feasible in cervical cancer. The b-value threshold and perfusion-related parameters depend on the tumor histology type. |
doi_str_mv | 10.3348/kjr.2017.18.3.510 |
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After Institutional Review Board approval, 19 female patients (mean age, 54 years; age range, 37-78 years) gave consent and were enrolled in this prospective magnetic resonance imaging study. Clinical staging and biopsy results were obtained. Echo-planar diffusion weighted sequences at 13 b-values were acquired at 3 tesla field strength. Single-sliced region-of-interest IVIM analysis with adaptive b-value thresholds was applied to each tumor, yielding the optimal fit and the optimal parameters for pseudodiffusion (D
), perfusion fraction (F
) and diffusion coefficient (D). Monoexponential apparent diffusion coefficient (ADC) was calculated for comparison with D.
Biopsy revealed squamous cell carcinoma in 10 patients and adenocarcinoma in 9. The b-value threshold (median [interquartile range]) depended on the histological type and was 35 (22.5-50) s/mm
in squamous cell carcinoma and 150 (100-150) s/mm
in adenocarcinoma (
< 0.05). Comparing squamous cell vs. adenocarcinoma, D
(45.1 [25.1-60.4] × 10
mm
/s vs. 12.4 [10.5-21.2] × 10
mm
/s) and F
(7.5% [7.0-9.0%] vs. 9.9% [9.0-11.4%]) differed significantly between the subtypes (
< 0.02), whereas D did not (0.89 [0.75-0.94] × 10
mm
/s vs. 0.90 [0.82-0.97] × 10
mm
/s,
= 0.27). The residuals did not differ (0.74 [0.60-0.92] vs. 0.94 [0.67-1.01],
= 0.32). The ADC systematically underestimated the magnitude of diffusion restriction compared to D (
< 0.001).
The parameter-free IVIM approach is feasible in cervical cancer. The b-value threshold and perfusion-related parameters depend on the tumor histology type.</description><identifier>ISSN: 1229-6929</identifier><identifier>EISSN: 2005-8330</identifier><identifier>DOI: 10.3348/kjr.2017.18.3.510</identifier><identifier>PMID: 28458603</identifier><language>eng</language><publisher>Korea (South): The Korean Society of Radiology</publisher><subject>Adenocarcinoma - diagnosis ; Adenocarcinoma - diagnostic imaging ; Adenocarcinoma - pathology ; Adult ; Aged ; Algorithms ; Area Under Curve ; Carcinoma, Squamous Cell - diagnosis ; Carcinoma, Squamous Cell - diagnostic imaging ; Carcinoma, Squamous Cell - pathology ; Cervical cancer ; Diffusion Magnetic Resonance Imaging ; Female ; Genitourinary Imaging ; Human papillomavirus ; Humans ; Magnetic resonance imaging ; Middle Aged ; Neoplasm Staging ; Patients ; Prospective Studies ; ROC Curve ; Statistical analysis ; Tumors ; Uterine Cervical Neoplasms - diagnosis ; Uterine Cervical Neoplasms - diagnostic imaging ; Uterine Cervical Neoplasms - pathology ; 방사선과학</subject><ispartof>Korean Journal of Radiology, 2017, 18(3), , pp.510-518</ispartof><rights>2017. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2017 The Korean Society of Radiology 2017</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c461t-e9b25cebfa82e6ee124a9bf94b76813271433f39cc3a951060681cf8c01b5ee63</citedby><cites>FETCH-LOGICAL-c461t-e9b25cebfa82e6ee124a9bf94b76813271433f39cc3a951060681cf8c01b5ee63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2728251962/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2728251962?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28458603$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002227685$$DAccess content in National Research Foundation of Korea (NRF)$$Hfree_for_read</backlink></links><search><creatorcontrib>Becker, Anton S</creatorcontrib><creatorcontrib>Perucho, Jose A</creatorcontrib><creatorcontrib>Wurnig, Moritz C</creatorcontrib><creatorcontrib>Boss, Andreas</creatorcontrib><creatorcontrib>Ghafoor, Soleen</creatorcontrib><creatorcontrib>Khong, Pek-Lan</creatorcontrib><creatorcontrib>Lee, Elaine Y P</creatorcontrib><title>Assessment of Cervical Cancer with a Parameter-Free Intravoxel Incoherent Motion Imaging Algorithm</title><title>Korean journal of radiology</title><addtitle>Korean J Radiol</addtitle><description>To evaluate the feasibility of a parameter-free intravoxel incoherent motion (IVIM) approach in cervical cancer, to assess the optimal b-value threshold, and to preliminarily examine differences in the derived perfusion and diffusion parameters for different histological cancer types.
After Institutional Review Board approval, 19 female patients (mean age, 54 years; age range, 37-78 years) gave consent and were enrolled in this prospective magnetic resonance imaging study. Clinical staging and biopsy results were obtained. Echo-planar diffusion weighted sequences at 13 b-values were acquired at 3 tesla field strength. Single-sliced region-of-interest IVIM analysis with adaptive b-value thresholds was applied to each tumor, yielding the optimal fit and the optimal parameters for pseudodiffusion (D
), perfusion fraction (F
) and diffusion coefficient (D). Monoexponential apparent diffusion coefficient (ADC) was calculated for comparison with D.
Biopsy revealed squamous cell carcinoma in 10 patients and adenocarcinoma in 9. The b-value threshold (median [interquartile range]) depended on the histological type and was 35 (22.5-50) s/mm
in squamous cell carcinoma and 150 (100-150) s/mm
in adenocarcinoma (
< 0.05). Comparing squamous cell vs. adenocarcinoma, D
(45.1 [25.1-60.4] × 10
mm
/s vs. 12.4 [10.5-21.2] × 10
mm
/s) and F
(7.5% [7.0-9.0%] vs. 9.9% [9.0-11.4%]) differed significantly between the subtypes (
< 0.02), whereas D did not (0.89 [0.75-0.94] × 10
mm
/s vs. 0.90 [0.82-0.97] × 10
mm
/s,
= 0.27). The residuals did not differ (0.74 [0.60-0.92] vs. 0.94 [0.67-1.01],
= 0.32). The ADC systematically underestimated the magnitude of diffusion restriction compared to D (
< 0.001).
The parameter-free IVIM approach is feasible in cervical cancer. The b-value threshold and perfusion-related parameters depend on the tumor histology type.</description><subject>Adenocarcinoma - diagnosis</subject><subject>Adenocarcinoma - diagnostic imaging</subject><subject>Adenocarcinoma - pathology</subject><subject>Adult</subject><subject>Aged</subject><subject>Algorithms</subject><subject>Area Under Curve</subject><subject>Carcinoma, Squamous Cell - diagnosis</subject><subject>Carcinoma, Squamous Cell - diagnostic imaging</subject><subject>Carcinoma, Squamous Cell - pathology</subject><subject>Cervical cancer</subject><subject>Diffusion Magnetic Resonance Imaging</subject><subject>Female</subject><subject>Genitourinary Imaging</subject><subject>Human papillomavirus</subject><subject>Humans</subject><subject>Magnetic resonance imaging</subject><subject>Middle Aged</subject><subject>Neoplasm Staging</subject><subject>Patients</subject><subject>Prospective Studies</subject><subject>ROC Curve</subject><subject>Statistical analysis</subject><subject>Tumors</subject><subject>Uterine Cervical Neoplasms - diagnosis</subject><subject>Uterine Cervical Neoplasms - diagnostic imaging</subject><subject>Uterine Cervical Neoplasms - pathology</subject><subject>방사선과학</subject><issn>1229-6929</issn><issn>2005-8330</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdkVFv0zAUhS0EYmXwA3hBlnhhDwm-duLYL0hVxaDSEAiNZ8sxN63bJB52Wti_x1nHBDxdy_7Okc89hLwEVgpRqbf7XSw5g6YEVYqyBvaILDhjdaGEYI_JAjjXhdRcn5FnKe0Y45qp6ik546qqlWRiQdplSpjSgONEQ0dXGI_e2Z6u7Ogw0p9-2lJLv9hoB5wwFpcRka7HKdpj-IV9PrqwxTjLP4XJh5GuB7vx44Yu-02IWT48J0862yd8cT_PybfL99erj8XV5w_r1fKqcJWEqUDd8tph21nFUSICr6xuO121jVQgeAOVEJ3Qzgmrc1bJ8rXrlGPQ1ohSnJOLk-8YO7N33gTr7-YmmH00y6_XawOi0ZVimX13Ym8O7YDfHc6JenMT_WDj7Z3y35fRb7PP0dRCM8lngzf3BjH8OGCazOCTw763I4ZDMqC00A1AAxl9_R-6C4c45lUY3nDFa9CSZwpOlIshpYjdw2eAmbltk9s2c9vZ2wiTN5A1r_5O8aD4U6_4DbFFpog</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Becker, Anton S</creator><creator>Perucho, Jose A</creator><creator>Wurnig, Moritz C</creator><creator>Boss, Andreas</creator><creator>Ghafoor, Soleen</creator><creator>Khong, Pek-Lan</creator><creator>Lee, Elaine Y P</creator><general>The Korean Society of Radiology</general><general>대한영상의학회</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>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>ACYCR</scope></search><sort><creationdate>20170501</creationdate><title>Assessment of Cervical Cancer with a Parameter-Free Intravoxel Incoherent Motion Imaging Algorithm</title><author>Becker, Anton S ; Perucho, Jose A ; Wurnig, Moritz C ; Boss, Andreas ; Ghafoor, Soleen ; Khong, Pek-Lan ; Lee, Elaine Y P</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c461t-e9b25cebfa82e6ee124a9bf94b76813271433f39cc3a951060681cf8c01b5ee63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adenocarcinoma - diagnosis</topic><topic>Adenocarcinoma - diagnostic imaging</topic><topic>Adenocarcinoma - pathology</topic><topic>Adult</topic><topic>Aged</topic><topic>Algorithms</topic><topic>Area Under Curve</topic><topic>Carcinoma, Squamous Cell - diagnosis</topic><topic>Carcinoma, Squamous Cell - diagnostic imaging</topic><topic>Carcinoma, Squamous Cell - pathology</topic><topic>Cervical cancer</topic><topic>Diffusion Magnetic Resonance Imaging</topic><topic>Female</topic><topic>Genitourinary Imaging</topic><topic>Human papillomavirus</topic><topic>Humans</topic><topic>Magnetic resonance imaging</topic><topic>Middle Aged</topic><topic>Neoplasm Staging</topic><topic>Patients</topic><topic>Prospective Studies</topic><topic>ROC Curve</topic><topic>Statistical analysis</topic><topic>Tumors</topic><topic>Uterine Cervical Neoplasms - diagnosis</topic><topic>Uterine Cervical Neoplasms - diagnostic imaging</topic><topic>Uterine Cervical Neoplasms - pathology</topic><topic>방사선과학</topic><toplevel>online_resources</toplevel><creatorcontrib>Becker, Anton S</creatorcontrib><creatorcontrib>Perucho, Jose A</creatorcontrib><creatorcontrib>Wurnig, Moritz C</creatorcontrib><creatorcontrib>Boss, Andreas</creatorcontrib><creatorcontrib>Ghafoor, Soleen</creatorcontrib><creatorcontrib>Khong, Pek-Lan</creatorcontrib><creatorcontrib>Lee, Elaine Y P</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 (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Publicly Available Content Database</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><collection>PubMed Central (Full Participant titles)</collection><collection>Korean Citation Index (Open Access)</collection><jtitle>Korean journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Becker, Anton S</au><au>Perucho, Jose A</au><au>Wurnig, Moritz C</au><au>Boss, Andreas</au><au>Ghafoor, Soleen</au><au>Khong, Pek-Lan</au><au>Lee, Elaine Y P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of Cervical Cancer with a Parameter-Free Intravoxel Incoherent Motion Imaging Algorithm</atitle><jtitle>Korean journal of radiology</jtitle><addtitle>Korean J Radiol</addtitle><date>2017-05-01</date><risdate>2017</risdate><volume>18</volume><issue>3</issue><spage>510</spage><epage>518</epage><pages>510-518</pages><issn>1229-6929</issn><eissn>2005-8330</eissn><abstract>To evaluate the feasibility of a parameter-free intravoxel incoherent motion (IVIM) approach in cervical cancer, to assess the optimal b-value threshold, and to preliminarily examine differences in the derived perfusion and diffusion parameters for different histological cancer types.
After Institutional Review Board approval, 19 female patients (mean age, 54 years; age range, 37-78 years) gave consent and were enrolled in this prospective magnetic resonance imaging study. Clinical staging and biopsy results were obtained. Echo-planar diffusion weighted sequences at 13 b-values were acquired at 3 tesla field strength. Single-sliced region-of-interest IVIM analysis with adaptive b-value thresholds was applied to each tumor, yielding the optimal fit and the optimal parameters for pseudodiffusion (D
), perfusion fraction (F
) and diffusion coefficient (D). Monoexponential apparent diffusion coefficient (ADC) was calculated for comparison with D.
Biopsy revealed squamous cell carcinoma in 10 patients and adenocarcinoma in 9. The b-value threshold (median [interquartile range]) depended on the histological type and was 35 (22.5-50) s/mm
in squamous cell carcinoma and 150 (100-150) s/mm
in adenocarcinoma (
< 0.05). Comparing squamous cell vs. adenocarcinoma, D
(45.1 [25.1-60.4] × 10
mm
/s vs. 12.4 [10.5-21.2] × 10
mm
/s) and F
(7.5% [7.0-9.0%] vs. 9.9% [9.0-11.4%]) differed significantly between the subtypes (
< 0.02), whereas D did not (0.89 [0.75-0.94] × 10
mm
/s vs. 0.90 [0.82-0.97] × 10
mm
/s,
= 0.27). The residuals did not differ (0.74 [0.60-0.92] vs. 0.94 [0.67-1.01],
= 0.32). The ADC systematically underestimated the magnitude of diffusion restriction compared to D (
< 0.001).
The parameter-free IVIM approach is feasible in cervical cancer. The b-value threshold and perfusion-related parameters depend on the tumor histology type.</abstract><cop>Korea (South)</cop><pub>The Korean Society of Radiology</pub><pmid>28458603</pmid><doi>10.3348/kjr.2017.18.3.510</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adenocarcinoma - diagnosis Adenocarcinoma - diagnostic imaging Adenocarcinoma - pathology Adult Aged Algorithms Area Under Curve Carcinoma, Squamous Cell - diagnosis Carcinoma, Squamous Cell - diagnostic imaging Carcinoma, Squamous Cell - pathology Cervical cancer Diffusion Magnetic Resonance Imaging Female Genitourinary Imaging Human papillomavirus Humans Magnetic resonance imaging Middle Aged Neoplasm Staging Patients Prospective Studies ROC Curve Statistical analysis Tumors Uterine Cervical Neoplasms - diagnosis Uterine Cervical Neoplasms - diagnostic imaging Uterine Cervical Neoplasms - pathology 방사선과학 |
title | Assessment of Cervical Cancer with a Parameter-Free Intravoxel Incoherent Motion Imaging Algorithm |
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