• Childhood Kidney Diseases
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• v.9 no.1
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• pp.69-75
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• 2005

Purpose : The most important management of congenital hydronephrosis consists of the early diagnosis and evaluation of the pathologic abnormalities of congenital hydronephrosis. This study was conducted to investigate the different causes of hydronephrosis and its clinical outcome. Methods : 54 live neonates who were hospitalized and diagnosed with congenital hydronephrosis at Chungnam National University Hospital from Aug. 1998 to Aug. 2003 were retrospectively analyzed. Results : Hydronephrosis(renal pelvic AP diameter $gt;5 mm) was postnatally detected in 54 cases(2.1%) among 2,539 neonates who were hospitalized from Aug. 1998 to Aug. 2003. There were three times more males than females. Additional imaging studies revealed that ureteropelvic junction obstruction was the most common postnatal diagnosis(48.7%), followed by multicystic dysplastic kidney, vesicoureteral reflux and duplication kidney with ureterocele. Spontaneous regression of hydronephrosis was revealed in 25 renal units(75.8% ) of mild hydronephrosis, 14 renal units of moderate hydronephrosis and 1 renal unit of severe hydronephrosis. Operative correction were carried out in 14 renal units(70%) of severe hydronephrosls. Conclusion : The most common established cause of congenital hydronephrosis in this study was ureteropelvic junction obstruction. There are many cases of spontaneous regression in mild to moderate congenital hydronephrosis. Urinary tract infections occur in many neonates with hydronephrosis. Therefore, early detection and evaluation of congenital hydronephrosis and continuous follow-up at regular intervals are necessary for conservation of renal function. (J Korean Soc Pediatr Nephrol 2005;9:69-75)

• Journal of Cadastre & Land InformatiX
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• v.52 no.1
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• pp.105-118
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• 2022

The demand for information related to 3D spatial objects model in metaverse, smart cities, digital twins, autonomous vehicles, urban air mobility will be increased. 3D model construction for spatial objects is possible with various equipments such as satellite-, aerial-, ground platforms and technologies such as modeling, artificial intelligence, image matching. However, it is not easy to quickly detect and convert spatial objects that need updating. In this study, based on spatial information (features) and attributes, using matching elements such as address code, number of floors, building name, and area, the converged building DB and the detected building DB are constructed. Both to support above and to verify the suitability of object selection that needs to be updated, one system prototype was developed. When constructing the converged building DB, the convergence of spatial information and attributes was impossible or failed in some buildings, and the matching rate was low at about 80%. It is believed that this is due to omitting of attributes about many building objects, especially in the pilot test area. This system prototype will support the establishment of an efficient drone shooting plan for the rapid update of 3D spatial objects, thereby preventing duplication and unnecessary construction of spatial objects, thereby greatly contributing to object improvement and cost reduction.