Dynamic contrast enhanced MRI in the differential diagnosis of soft tissue tumors

Purpose: The value of the dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) in differentiating benign and malignant soft tissue tumors was investigated. Materials and methods: Turbo FLASH DCE-MRI was performed on 22 subjects (2–74 years) with soft tissue tumors. Enhancement in the first...

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Veröffentlicht in:European journal of radiology 2005-03, Vol.53 (3), p.500-505
Hauptverfasser: Tuncbilek, Nermin, Karakas, Hakki Muammer, Okten, Ozerk Omur
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container_title European journal of radiology
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creator Tuncbilek, Nermin
Karakas, Hakki Muammer
Okten, Ozerk Omur
description Purpose: The value of the dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) in differentiating benign and malignant soft tissue tumors was investigated. Materials and methods: Turbo FLASH DCE-MRI was performed on 22 subjects (2–74 years) with soft tissue tumors. Enhancement in the first min ( E max/1), second min ( E max/2) and maximum peak enhancement ( E max), and steepest slope were calculated. Discriminant analyses were performed to reveal parametric differences of benign and malignant lesions. Results: Diagnosis of benign ( N = 10) tumors were hemangioma ( n = 3), neurogenic tumor ( n = 3) lipoma ( n = 2), giant cell tumor ( n = 1) and desmoid ( n = 1), whereas malignant lesions ( N = 12) were classified as liposarcoma ( n = 5), malignant fibrous histiocytoma ( n = 5) and synovial sarcoma ( n = 2). For malignant lesions E max/1 was 65–198%, E max/2 was 65–145%, E max was 78–198%, and steepest slope was 1.45–4.06. For benign lesions these values were 4–98%, 5–105%, 7–125% and 0.67–2.57, respectively. To determine the relation between the variables analysed, Pearson correlation coefficients were calculated. E max was found to be highly correlated with other variables ( rxy>0.86, P < 0.0001). Consequently, this variable was excluded from the discriminant analysis. In order to determine discrimination of malignant and benign tumors using E max/1, E max/2, and steepest slope of the enhancement curve logistic regression was applied to the above mentioned data. When combined these parameters had a 95.5% of overall accuracy in classifying benign and malignant lesions ( P = 0.004). Conclusion: DCE-MRI parameters that thought to be the surrogate markers of tumoral microcirculation and tissue perfusion provides a specific preoperative diagnosis. Dynamic imaging parameters are therefore advocated for monitoring the effect of chemotherapy in soft tissue tumors.
doi_str_mv 10.1016/j.ejrad.2004.04.012
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E max was found to be highly correlated with other variables ( rxy&gt;0.86, P &lt; 0.0001). Consequently, this variable was excluded from the discriminant analysis. In order to determine discrimination of malignant and benign tumors using E max/1, E max/2, and steepest slope of the enhancement curve logistic regression was applied to the above mentioned data. When combined these parameters had a 95.5% of overall accuracy in classifying benign and malignant lesions ( P = 0.004). Conclusion: DCE-MRI parameters that thought to be the surrogate markers of tumoral microcirculation and tissue perfusion provides a specific preoperative diagnosis. 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Materials and methods: Turbo FLASH DCE-MRI was performed on 22 subjects (2–74 years) with soft tissue tumors. Enhancement in the first min ( E max/1), second min ( E max/2) and maximum peak enhancement ( E max), and steepest slope were calculated. Discriminant analyses were performed to reveal parametric differences of benign and malignant lesions. Results: Diagnosis of benign ( N = 10) tumors were hemangioma ( n = 3), neurogenic tumor ( n = 3) lipoma ( n = 2), giant cell tumor ( n = 1) and desmoid ( n = 1), whereas malignant lesions ( N = 12) were classified as liposarcoma ( n = 5), malignant fibrous histiocytoma ( n = 5) and synovial sarcoma ( n = 2). For malignant lesions E max/1 was 65–198%, E max/2 was 65–145%, E max was 78–198%, and steepest slope was 1.45–4.06. For benign lesions these values were 4–98%, 5–105%, 7–125% and 0.67–2.57, respectively. To determine the relation between the variables analysed, Pearson correlation coefficients were calculated. E max was found to be highly correlated with other variables ( rxy&gt;0.86, P &lt; 0.0001). Consequently, this variable was excluded from the discriminant analysis. In order to determine discrimination of malignant and benign tumors using E max/1, E max/2, and steepest slope of the enhancement curve logistic regression was applied to the above mentioned data. When combined these parameters had a 95.5% of overall accuracy in classifying benign and malignant lesions ( P = 0.004). Conclusion: DCE-MRI parameters that thought to be the surrogate markers of tumoral microcirculation and tissue perfusion provides a specific preoperative diagnosis. 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Karakas, Hakki Muammer ; Okten, Ozerk Omur</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-ac905b46b6ea1cb10dabf7d03199d0fad3cb7a747be2124d1d34a71688bd4e0b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Contrast Media</topic><topic>Diagnosis, Differential</topic><topic>Differential diagnosis</topic><topic>Discriminant Analysis</topic><topic>Diseases of the osteoarticular system</topic><topic>Dynamic contrast enhanced MRI</topic><topic>Female</topic><topic>Humans</topic><topic>Infant</topic><topic>Logistic Models</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Meglumine</topic><topic>Middle Aged</topic><topic>Organometallic Compounds</topic><topic>Semiquantitative enhancement parameters</topic><topic>Soft Tissue Neoplasms - diagnosis</topic><topic>Soft tissue tumors</topic><topic>Statistics, Nonparametric</topic><topic>Tumors of striated muscle and skeleton</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tuncbilek, Nermin</creatorcontrib><creatorcontrib>Karakas, Hakki Muammer</creatorcontrib><creatorcontrib>Okten, Ozerk Omur</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tuncbilek, Nermin</au><au>Karakas, Hakki Muammer</au><au>Okten, Ozerk Omur</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dynamic contrast enhanced MRI in the differential diagnosis of soft tissue tumors</atitle><jtitle>European journal of radiology</jtitle><addtitle>Eur J Radiol</addtitle><date>2005-03-01</date><risdate>2005</risdate><volume>53</volume><issue>3</issue><spage>500</spage><epage>505</epage><pages>500-505</pages><issn>0720-048X</issn><eissn>1872-7727</eissn><coden>EJRADR</coden><abstract>Purpose: The value of the dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) in differentiating benign and malignant soft tissue tumors was investigated. Materials and methods: Turbo FLASH DCE-MRI was performed on 22 subjects (2–74 years) with soft tissue tumors. Enhancement in the first min ( E max/1), second min ( E max/2) and maximum peak enhancement ( E max), and steepest slope were calculated. Discriminant analyses were performed to reveal parametric differences of benign and malignant lesions. Results: Diagnosis of benign ( N = 10) tumors were hemangioma ( n = 3), neurogenic tumor ( n = 3) lipoma ( n = 2), giant cell tumor ( n = 1) and desmoid ( n = 1), whereas malignant lesions ( N = 12) were classified as liposarcoma ( n = 5), malignant fibrous histiocytoma ( n = 5) and synovial sarcoma ( n = 2). For malignant lesions E max/1 was 65–198%, E max/2 was 65–145%, E max was 78–198%, and steepest slope was 1.45–4.06. For benign lesions these values were 4–98%, 5–105%, 7–125% and 0.67–2.57, respectively. To determine the relation between the variables analysed, Pearson correlation coefficients were calculated. E max was found to be highly correlated with other variables ( rxy&gt;0.86, P &lt; 0.0001). Consequently, this variable was excluded from the discriminant analysis. In order to determine discrimination of malignant and benign tumors using E max/1, E max/2, and steepest slope of the enhancement curve logistic regression was applied to the above mentioned data. When combined these parameters had a 95.5% of overall accuracy in classifying benign and malignant lesions ( P = 0.004). Conclusion: DCE-MRI parameters that thought to be the surrogate markers of tumoral microcirculation and tissue perfusion provides a specific preoperative diagnosis. Dynamic imaging parameters are therefore advocated for monitoring the effect of chemotherapy in soft tissue tumors.</abstract><cop>Shannon</cop><pub>Elsevier Ireland Ltd</pub><pmid>15741025</pmid><doi>10.1016/j.ejrad.2004.04.012</doi><tpages>6</tpages></addata></record>
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subjects Adolescent
Adult
Aged
Biological and medical sciences
Child
Child, Preschool
Contrast Media
Diagnosis, Differential
Differential diagnosis
Discriminant Analysis
Diseases of the osteoarticular system
Dynamic contrast enhanced MRI
Female
Humans
Infant
Logistic Models
Magnetic Resonance Imaging - methods
Male
Medical sciences
Meglumine
Middle Aged
Organometallic Compounds
Semiquantitative enhancement parameters
Soft Tissue Neoplasms - diagnosis
Soft tissue tumors
Statistics, Nonparametric
Tumors of striated muscle and skeleton
title Dynamic contrast enhanced MRI in the differential diagnosis of soft tissue tumors
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