Reliability of Sonography-based Volume Computer Aided Diagnosis in the Normal Fetal Heart.

OBJECTIVES: To explore the inter- and intra-observer reliability of Sonography-based Volume Computer Aided Diagnosis (SonoVCAD) in the display of 8 diagnostic planes of fetal echocardiography and to evaluate its efficiency. METHODS: Three-dimensional volume data sets of the 56 normal singleton fetuses were acquired from a 4-chamber view by using a volume probe. After processing the data sets by using SonoVCAD, 8 cardiac diagnostic planes were displayed automatically. Three doctors with different experiences of performing fetal echocardiography evaluated each diagnostic plane and the success rates of 8 diagnostic planes were calculated. Inter-observer and intra-observer reliabilities were estimated by Cohen's kappa statistics. RESULTS: A total of 276 volume data sets acquired from the 56 normal fetuses were used for SonoVCAD analysis and display. The success rate of each diagnostic section was more than 90%, ranging from 90.6% to 99.6%. Among 276 volumes, 81.5% (225/276) of volumes were able to generate all 8 diagnostic views successfully. Moderate to substantial agreement (kappa, 0.509-0.794) was found between 2 less experienced operators. Moderate to near-perfect agreement (kappa, 0.439-0.933) was found between an expert and 2 less experienced sonographers. Intra-observer reliability was substantial to near-perfect (kappa, 0.602-0.903). The efficiency of SonoVCAD was assessed. The expert spent less time than 2 less experienced examiners (P < 0.001) but no significant difference was found between 2 less experienced examiners (P = 0.176). Besides, SonoVCAD consumed significantly less time than 2-dimensional ultrasound (P < 0.001). CONCLUSIONS: SonoVCAD can significantly improve the success rates of 8 diagnostic planes in fetal echocardiography with low operator dependency, good reproducibility and high efficiency.

A rare case report: tricuspid valve prolapse due to spontaneous chordae rupture in a congenitally corrected transposition of the great arteries patient.

BACKGROUND: Congenitally corrected transposition of great arteries (CCTGA) is caused by atrioventricular and ventriculoarterial discordance. Cases of CCTGA with spontaneous chordae rupture of tricuspid valve have not been reported before. CASE PRESENTATION: Here we diagnosed a 38-year-old man, who was found CCTGA 14 years ago, as spontaneous chordae rupture by real-time three dimentional transesophageal echocardiography (RT-3D-TEE). The present case is the first report to describe a CCTGA patient combine with spontaneous chordae rupture in tricuspid valve. After tricuspid valve replacement, the patient was uneventful after 6 years' follow-up. CONCLUSION: We reported a rare case with spontaneous chordae rupture of tricuspid valve in a CCTGA patient and explored its etiology here. RT-3D-TEE is an important supplement to 2-dimentional transthoracic echocardiography and can provide more accurate detections in tricuspid valve diseases in CCTGA.

Novel foetal echocardiographic image processing software (5D Heart) improves the display of key diagnostic elements in foetal echocardiography.

BACKGROUND: To evaluate the clinical value of foetal intelligent navigation echocardiography (5D Heart) for the display of key diagnostic elements in basic sections. METHODS: 3D volume datasets of 182 normal singleton foetuses were acquired with a four chamber view by using a volume probe. After processing the datasets by using 5D Heart, eight cardiac diagnostic planes were demonstrated, and the image qualities of the key diagnostic elements were graded by 3 doctors with different experiences in performing foetal echocardiography. RESULTS: A total of 231 volume datasets acquired from the 182 normal foetuses were used for 5D Heart analysis and display. The success rate of 8 standard diagnostic views was 88.2%, and the success rate of each diagnostic view was 55.8-99.2% and 70.7-99.0% for the random four chamber view as the initial section and for the apical four chamber view as the initial section, respectively. The success rate of each diagnostic element in the 8 diagnostic sections obtained by 5D Heart was 58.9%~ 100%. Excellent agreement was found between experienced sonographers and less-experienced sonographers (kappa> 0.769). Inter- and intra-observer agreement were substantial to near-perfect, kappa values ranging from 0.612 to 1.000 (Cohen's kappa). CONCLUSIONS: 5D Heart can significantly improve the image quality of key diagnostic elements in foetal echocardiography with low operator dependency and good reproducibility.