Plasenta akreta spektrumunu öngörmeye yönelik bir skorlama sistemi: prospektif bir çalışma

Author:

ÖZTÜRK AĞAOĞLU Merve1ORCID,ÇAĞLAR Ali2ORCID

Affiliation:

1. SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, CERRAHİ TIP BİLİMLERİ BÖLÜMÜ, KADIN HASTALIKLARI VE DOĞUM ANABİLİM DALI

2. SAĞLIK BİLİMLERİ ÜNİVERSİTESİ, ANKARA ETLİK ŞEHİR SAĞLIK UYGULAMA VE ARAŞTIRMA MERKEZİ, CERRAHİ TIP BİLİMLERİ BÖLÜMÜ, KADIN HASTALIKLARI VE DOĞUM ANABİLİM DALI

Abstract

Purpose: The aim of this study was to assess the utility of a scoring system using selected ultrasonographic features to predict placenta accreta spectrum (PAS) and its severity in suspicion of PAS. Materials and Methods: This prospective study was conducted with a total of 27 pregnant women with placenta previa totalis with suspicion of PAS between 24 and 37 weeks gestation between July 2019 and January 2020. PAS score was calculated with the following parameters: loss of clear zone, number, size, and regularity of placental lacunae, turbulent flow in lacunae, uterovesical or subplacental hypervascularity, bridging vessels, and the number of previous cesarean section. Patients were divided into groups due to PAS scores and the severity of PAS. Receiver operating characteristics curves were performed to assess the performance of the PAS scoring system. Results: In a total of 27 patients, 7 (25.9%) patients did not have PAS, 5 (18.5%) patients had accreta, 7 (25.9%) patients had increta, and 8 patients (29.6) had percreta. In groups with PAS scores higher than 8, 86% of patients had placenta percreta. PAS score was 2.8±1.4 in the no PAS group, 3.6±1.9 in the accreta group, 5.1±2.4 in the increta group, 9.8±1.6 in the percreta group and statistically higher in the percreta group. The optimal cut-off values of the PAS score to predict abnormal placental invasion was 4.5 (60% sensitivity, 86% specificity), 7.5 for differentiation percreta from increta (87.5% sensitivity, 75% specificity) Conclusion: A PAS scoring system that combines several ultrasound and clinical characteristics may greatly improve prenatal risk assessment and prediction of PAS.

Publisher

Cukurova Medical Journal

Subject

General Earth and Planetary Sciences,General Environmental Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3