Automatic Differentiation of Innocent and Pathologic Murmurs in Pediatrics
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 106
- 试验地点
- 1
- 主要终点
- Number of correctly diagnosed pathological heart murmurs through independent algorithm-based auscultation.
研究概览
简要总结
The purpose of this preliminary clinical study is to assess the quality of a computational algorithm that automatically classifies murmurs of phonocardiograms (PCGs) as either pathologic (AHA class I) or as no- or innocent (AHA class III) in the pediatric population.
Each patient is auscultated and diagnosed independently by a medical specialist by means of a standard mechanical stethoscope. Additionally, for each patient, a PCG is recorded using a Littmann 3200 electronic stethoscope and later analyzed using the computational algorithm. An echocardiogram is performed as the gold-standard for determining heart pathologies. The results of the computer aided auscultation (CAA) are compared to the findings of the medical professionals as well as to the echocardiogram findings.
Hypothesis: The specific CAA algorithms used in this study are able to differentiate pathologic (AHA class I) from no- or innocent murmurs (AHA class III) in a pediatric population.
详细描述
Background:
Computer aided auscultation in the differentiation of pathologic (AHA class I) from no- or innocent murmurs (AHA class III) would be of great value to the general practitioner and potentially also to the specialist. This would allow objective screening for structural heart disease, standardized documentation of auscultation findings, and may avoid unnecessary referrals to pediatric cardiologists. Our goal was to further develop and assess the quality of a novel computational algorithm that automatically classifies murmurs of phonocardiograms (PCGs) acquired in a pediatric population.
Methods:
Patients with no-, innocent-, and pathologic murmurs were recruited from the general pediatric cardiology clinic. Using an electronic stethoscope, PCGs were acquired by the pediatric cardiologist from each patient. The PCGs were analyzed by the algorithm and diagnoses were compared to findings by the pediatric specialist and echocardiography as the gold standard.
The following registry procedures and quality factors have been implemented in this preliminary clinical study:
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Cross Sectional
入排标准
- 年龄范围
- — 至 18 Years（Child, Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •outpatient
- •parental approval for study participation
排除标准
- 未提供
结局指标
主要结局
Number of correctly diagnosed pathological heart murmurs through independent algorithm-based auscultation.
时间窗: 2 months
Each patient is screened and diagnosed regarding a potential heart murmur by a medical expert through standard stethoscope-based auscultation. Heart sounds are recorded using an electronic Littmann 3200 stethoscope. The resulting phonocardiograms are analyzed and diagnosed independently, offline, with no external input, by an algorithm. A final diagnosis for each patient is made by a medical expert by performing an echocardiogram, the gold standard method for heart murmur detection. The diagnoses of both the medical expert and the algorithm are finally compared to the echocardiogram-based diagnosis.
次要结局
- Number of correctly diagnosed pathological heart murmurs through traditional stethoscope based auscultation by medical experts.(2 months)