Chen Lea, Patel Anika G, Dahiya Nirvikar, Young Scott W, Kriegshauser J Scott, Zhang Nan, Patel Maitray D
Mayo Clinic Arizona, Phoenix, USA.
Abdom Radiol (NY). 2025 May;50(5):2140-2151. doi: 10.1007/s00261-024-04692-z. Epub 2024 Nov 22.
Compare HAv to non-Doppler ultrasound observations for diagnosing acute cholecystitis in a large consecutive cohort of emergency department (ED) patients and establish a method to combine HAv assessment with non-Doppler observations for diagnosing acute cholecystitis.
Consecutive ED patients at one institution undergoing gallbladder (GB) ultrasound (US) for acute cholecystitis between 1/1/2020 and 8/31/2022 had assessments of GB diameter, GB wall thickness, GB contents, pericholecystic irregular collection, and hepatic artery peak systolic velocity (HAv). The non-Doppler observations were scored and summed. Non-Doppler risk categorization was based on rate of acute cholecystitis associated with summed scores. The impact of HAv stratification on the rate of acute cholecystitis in the non-Doppler risk categories was evaluated, with regrouping when subgroups had changes in the acute cholecystitis rate; the regrouping established the HAv-adjusted risk model. Receiver-operator curves for acute cholecystitis diagnosis for individual parameters, the non-Doppler risk categorization, and the HAv-adjusted risk model were compared using area-under-curve (AUC) calculations.
Of the 885 patients in the study cohort, 117 (13.2%) had acute cholecystitis. The AUC for diagnosing acute cholecystitis using GB distention (83.8%, p < 0.001), GB wall thickness (79.1%, p < 0.001), and GB contents (75.0%, p 0.02) were higher than HAv (66.3%). HAv assessment adjusted risk for 195 patients. The non-Doppler risk categorization and the HAv-adjusted risk model had the same sensitivity (84.6%) and specificity (85.2%) for diagnosing acute cholecystitis, but the HAv-adjusted risk model showed higher AUC (91.3%, p 0.03) due to increased ability to exclude acute cholecystitis.
The diagnostic performance of HAv for acute cholecystitis was lower than other assessments. A categorization scheme based on summed points assigned to each non-Doppler observation was improved with HAv assessment. This risk categorization approach using formulaic integration of non-Doppler and Doppler assessments on ED patients allows radiologists to convey one of five levels of disease probability based solely on sonographic features ranging from effectively excluding acute cholecystitis to substantially elevating the chance the patient has the condition.
在一大组连续的急诊科(ED)患者中,比较肝动脉峰值收缩速度(HAv)与非多普勒超声检查结果,以诊断急性胆囊炎,并建立一种将HAv评估与非多普勒检查结果相结合来诊断急性胆囊炎的方法。
2020年1月1日至2022年8月31日期间,在一家机构因急性胆囊炎接受胆囊(GB)超声(US)检查的连续ED患者,对其胆囊直径、胆囊壁厚度、胆囊内容物、胆囊周围不规则积液和肝动脉峰值收缩速度(HAv)进行评估。对非多普勒检查结果进行评分并求和。非多普勒风险分类基于与总分相关的急性胆囊炎发生率。评估HAv分层对非多普勒风险分类中急性胆囊炎发生率的影响,当亚组的急性胆囊炎发生率发生变化时进行重新分组;重新分组建立了HAv调整后的风险模型。使用曲线下面积(AUC)计算比较单个参数、非多普勒风险分类和HAv调整后的风险模型对急性胆囊炎诊断的受试者操作曲线。
研究队列中的885例患者中,117例(13.2%)患有急性胆囊炎。使用胆囊扩张(83.8%,p<0.001)、胆囊壁厚度(79.1%,p<0.001)和胆囊内容物(75.0%,p=0.02)诊断急性胆囊炎的AUC高于HAv(66.3%)。HAv评估调整了195例患者的风险。非多普勒风险分类和HAv调整后的风险模型对急性胆囊炎诊断的敏感性(84.6%)和特异性(8