Quantitative Classification of Uterine Myoma Perfusion on DCE-MRI: Retrospective Analysis of Data and Clinical Implications
<b>Background/Objectives</b>: The degree of vascularization of myomas plays an important role in both diagnosis and the selection of appropriate treatment. This is particularly relevant for minimally invasive therapies such as uterine artery embolization (UAE), high-intensity focused ult...
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2025-06-01
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| author | Alan Bruszewski Agnieszka Lach Maciej Wilczak Karolina Chmaj-Wierzchowska |
| author_facet | Alan Bruszewski Agnieszka Lach Maciej Wilczak Karolina Chmaj-Wierzchowska |
| author_sort | Alan Bruszewski |
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| description | <b>Background/Objectives</b>: The degree of vascularization of myomas plays an important role in both diagnosis and the selection of appropriate treatment. This is particularly relevant for minimally invasive therapies such as uterine artery embolization (UAE), high-intensity focused ultrasound (HIFU), or radiofrequency ablation (RFA) in uterine myomas, as their effectiveness is highest in well-vascularized lesions. This study aimed to analyze the perfusion of uterine myomas using dynamic contrast-enhanced magnetic resonance imaging and to develop a new quantitative classification of lesion vascularization, referencing the Funaki classification. <b>Methods</b>: The study included 56 female patients. Three parameters were determined for each lesion: the maximum signal enhancement (Ratio), time to peak, and mean signal intensity (Mean). A KMeans cluster analysis (<i>k</i> = 3) was performed, dividing the data into three groups corresponding to Funaki types I–III. <b>Results</b>: Significant differences were observed between the groups. Type III myomas were found only in older patients, which may be relevant when qualifying patients for vascularization-targeted therapies such as HIFU or radiofrequency ablation. <b>Conclusions</b>: The proposed classification may serve as a basis for automating the assessment of myomas and supporting clinical decision-making. |
| format | Article |
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| institution | Kabale University |
| issn | 2075-4418 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
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| series | Diagnostics |
| spelling | doaj-art-d63c23db9e1f4a2aa6cd32f156bb6a982025-08-20T03:24:34ZengMDPI AGDiagnostics2075-44182025-06-011512146410.3390/diagnostics15121464Quantitative Classification of Uterine Myoma Perfusion on DCE-MRI: Retrospective Analysis of Data and Clinical ImplicationsAlan Bruszewski0Agnieszka Lach1Maciej Wilczak2Karolina Chmaj-Wierzchowska3Department of Maternal and Child Health and Minimally Invasive Surgery, Poznan University of Medical Sciences, 60-535 Poznan, PolandDepartment of Maternal and Child Health and Minimally Invasive Surgery, Poznan University of Medical Sciences, 60-535 Poznan, PolandDepartment of Maternal and Child Health and Minimally Invasive Surgery, Poznan University of Medical Sciences, 60-535 Poznan, PolandDepartment of Maternal and Child Health and Minimally Invasive Surgery, Poznan University of Medical Sciences, 60-535 Poznan, Poland<b>Background/Objectives</b>: The degree of vascularization of myomas plays an important role in both diagnosis and the selection of appropriate treatment. This is particularly relevant for minimally invasive therapies such as uterine artery embolization (UAE), high-intensity focused ultrasound (HIFU), or radiofrequency ablation (RFA) in uterine myomas, as their effectiveness is highest in well-vascularized lesions. This study aimed to analyze the perfusion of uterine myomas using dynamic contrast-enhanced magnetic resonance imaging and to develop a new quantitative classification of lesion vascularization, referencing the Funaki classification. <b>Methods</b>: The study included 56 female patients. Three parameters were determined for each lesion: the maximum signal enhancement (Ratio), time to peak, and mean signal intensity (Mean). A KMeans cluster analysis (<i>k</i> = 3) was performed, dividing the data into three groups corresponding to Funaki types I–III. <b>Results</b>: Significant differences were observed between the groups. Type III myomas were found only in older patients, which may be relevant when qualifying patients for vascularization-targeted therapies such as HIFU or radiofrequency ablation. <b>Conclusions</b>: The proposed classification may serve as a basis for automating the assessment of myomas and supporting clinical decision-making.https://www.mdpi.com/2075-4418/15/12/1464uterine myomasdynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)Funaki classification |
| spellingShingle | Alan Bruszewski Agnieszka Lach Maciej Wilczak Karolina Chmaj-Wierzchowska Quantitative Classification of Uterine Myoma Perfusion on DCE-MRI: Retrospective Analysis of Data and Clinical Implications Diagnostics uterine myomas dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) Funaki classification |
| title | Quantitative Classification of Uterine Myoma Perfusion on DCE-MRI: Retrospective Analysis of Data and Clinical Implications |
| title_full | Quantitative Classification of Uterine Myoma Perfusion on DCE-MRI: Retrospective Analysis of Data and Clinical Implications |
| title_fullStr | Quantitative Classification of Uterine Myoma Perfusion on DCE-MRI: Retrospective Analysis of Data and Clinical Implications |
| title_full_unstemmed | Quantitative Classification of Uterine Myoma Perfusion on DCE-MRI: Retrospective Analysis of Data and Clinical Implications |
| title_short | Quantitative Classification of Uterine Myoma Perfusion on DCE-MRI: Retrospective Analysis of Data and Clinical Implications |
| title_sort | quantitative classification of uterine myoma perfusion on dce mri retrospective analysis of data and clinical implications |
| topic | uterine myomas dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) Funaki classification |
| url | https://www.mdpi.com/2075-4418/15/12/1464 |
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