Prenatal diagnosis of achondroplasia and hypochondroplasia using three-dimensional computed tomography: a case series at a single institution

3D-CT is a valuable and efficient tool for diagnosing ACH/HCH. Accurate prenatal diagnosis by gene analysis is crucial for a definitive diagnosis in infants.

Authors

Institutions

Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2024-11-11
DOI
https://doi.org/10.21037/qims-24-682
Citations
2
Primary Topic
Connective tissue disorders research
Type
article
Field-Weighted Citation Impact
1.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prenatal diagnosis of achondroplasia and hypochondroplasia using three-dimensional computed tomography: a case series at a single institution

Akiko Takahata, Koki Shimura, Tatsuji Hasegawa, Miyoko Waratani et al.
2 citations
Quantitative Imaging in Medicine and Surgery
Connective tissue disorders research
1.10
article

Prenatal diagnosis of achondroplasia and hypochondroplasia using three-dimensional computed tomography: a case series at a single institution

Akiko Takahata, Koki Shimura, Tatsuji Hasegawa, Miyoko Waratani, Fumitake Ito, Taisuke Mori, Yukiko Tanaka
article en
2 citations

Abstract

3D-CT is a valuable and efficient tool for diagnosing ACH/HCH. Accurate prenatal diagnosis by gene analysis is crucial for a definitive diagnosis in infants.

Quantitative Imaging in Medicine and SurgeryVol. 14(12)
Kyoto Prefectural University of Medicine (JP)
Gender equality
Openalex Percentile: Top 18%
Connective tissue disorders research
1.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.