天津医药
天津醫藥
천진의약
TIANJIN MEDICAL JOURNAL
2015年
6期
677-680
,共4页
室间隔%心脏起搏,人工%超声心动描记术%X线透视检查%影像流程图
室間隔%心髒起搏,人工%超聲心動描記術%X線透視檢查%影像流程圖
실간격%심장기박,인공%초성심동묘기술%X선투시검사%영상류정도
ventricular septum%cardiac pacing,artificial%echocardiography%fluoroscopy%radiology algorithm
目的:制定预测右室电极定位的影像流程图并检测其敏感性及特异性,以提高间隔起搏定位的准确率。方法入选100例于我院行双腔起搏器安置术的患者,以超声定位电极位置为金标准,分为右室流出道(ROVT)间隔组、ROVT前壁组、中间隔组及前间隔组(间隔与前壁夹角)。利用左前斜45°(LAO45°)及右前斜30°(RAO30°)影像的表现,分析4组患者电极影像特点,同时制定影像流程图并检测流程图的敏感性及特异性,总结间隔定位的影像学特点。结果流程图对预测各部位电极定位有较高的敏感性及特异性,分别为90%及97%。同时阳性预测值(PPV)及阴性预测值(NPV)也较高,分别为90%和97%。结论本研究制定的影像流程图对间隔定位的预测有较高的敏感性及特异性。
目的:製定預測右室電極定位的影像流程圖併檢測其敏感性及特異性,以提高間隔起搏定位的準確率。方法入選100例于我院行雙腔起搏器安置術的患者,以超聲定位電極位置為金標準,分為右室流齣道(ROVT)間隔組、ROVT前壁組、中間隔組及前間隔組(間隔與前壁夾角)。利用左前斜45°(LAO45°)及右前斜30°(RAO30°)影像的錶現,分析4組患者電極影像特點,同時製定影像流程圖併檢測流程圖的敏感性及特異性,總結間隔定位的影像學特點。結果流程圖對預測各部位電極定位有較高的敏感性及特異性,分彆為90%及97%。同時暘性預測值(PPV)及陰性預測值(NPV)也較高,分彆為90%和97%。結論本研究製定的影像流程圖對間隔定位的預測有較高的敏感性及特異性。
목적:제정예측우실전겁정위적영상류정도병검측기민감성급특이성,이제고간격기박정위적준학솔。방법입선100례우아원행쌍강기박기안치술적환자,이초성정위전겁위치위금표준,분위우실류출도(ROVT)간격조、ROVT전벽조、중간격조급전간격조(간격여전벽협각)。이용좌전사45°(LAO45°)급우전사30°(RAO30°)영상적표현,분석4조환자전겁영상특점,동시제정영상류정도병검측류정도적민감성급특이성,총결간격정위적영상학특점。결과류정도대예측각부위전겁정위유교고적민감성급특이성,분별위90%급97%。동시양성예측치(PPV)급음성예측치(NPV)야교고,분별위90%화97%。결론본연구제정적영상류정도대간격정위적예측유교고적민감성급특이성。
Objective To develop a radiology algorithm and test its the accuracy in distinguish pacing in the septum from the other parts. Methods One hundred patients were implanted with double-chamber pacemakers. Sites of the leads were verified by two-dimensional echocardiography, and the patients were divided into 4 groups according to the echocar?diography:septal right ventricular outflow tract group(RVOT), RVOT anterior free wall group, mid septum group, and anteri?or septum group (near to the anterior free wall ). An algorithm was developed according to radiological characteristics in the 45° left anterior oblique (LAO45° ) view and the 30° right anterior oblique (RAO30° ) view. Then its sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were tested . Results The algorithm has high sensitivi?ty and specificity, which were 90%and 97%respectively. The positive predictive value and negative predictive value were 90% and 97% respectively. Conclusion The radiology algorithm we developed have a high sensitivity and specificity in identifying the site of the leads.