predictive factors for pelvic magnetic resonance in response to arterial embolization of a uterine leiomyoma
Tiklamalar: 184
ID: 221992
2014
Makale Kalitesi ve Performans Metrikleri
Genel Kalite
Improving Quality
0.0
/100
Etkilesim verilerini yapay zeka tabanli akademik kalite degerlendirmesiyle birlestirir
Okuyucu Etkilesimi
Steady Performance
30.0
/100
172 goruntulemeler
13 okuyucular
Trend
Yapay Zeka Kalite Degerlendirmesi
Analiz edilmedi
Ozet
OBJECTIVE: Minimally invasive methods are used as alternatives to treat leiomyomas and include uterine artery embolization, which has emerged as a safe, effective method. This study aims to evaluate the magnetic resonance imaging predictors for a reduction in leiomyoma volume in patients undergoing uterine artery embolization. METHODS: This prospective longitudinal study was performed at a university hospital. We followed 50 symptomatic premenopausal women with uterine leiomyomas who underwent uterine artery embolization. We examined 179 leiomyomas among these patients. Magnetic resonance imaging was performed one month before and six months after uterine artery embolization. Two radiologists who specialized in abdominal imaging independently interpreted the images. Main Outcome Measures: The magnetic resonance imaging parameters were the uterus and leiomyomas volumes, their localizations, contrast perfusion pattern and node-to-muscle ratio. RESULTS: Six months after treatment, the average uterine volume reduction was 38.91%, and the leiomyomas were reduced by 55.23%. When the leiomyomas were submucosal and/or had a higher node-to-muscle ratio in the T2 images, the volume reduction was even greater (greater than 50%). Other parameters showed no association. CONCLUSIONS: We conclude that symptomatic uterine leiomyomas in patients undergoing uterine artery embolization exhibit volume reductions greater than 50% by magnetic resonance imaging when the leiomyomas are submucosal and/or had a high node-to-muscle ratio in the T2 images.
Ozet Kalite Sorunu:
Bu ozet eksik gorunuyor veya meta veri iceriyor (208 kelime).
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| Referans Anahtari |
zlotnik2014clinicspredictive
Kullanarak makale yazarken otomatik alinti icin bu anahtari kullanin
SciMatic Makale Yoneticisi veya Tez Yoneticisi
|
|---|---|
| Yazarlar | ;Eduardo Zlotnik;Marcos de Lorenzo Messina;Felipe Nasser;Breno Boueri Affonso;Ronaldo Hueb Baroni;Nelson Wolosker;Edmund Chada Baracat |
| Dergi | icitacee 2015 - 2nd international conference on information technology, computer, and electrical engineering: green technology strengthening in information technology, electrical and computer engineering implementation, proceedings |
| Yil | 2014 |
| DOI |
10.6061/clinics/2014(03)07
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| URL | |
| Anahtar Kelimeler |
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