Multisystem Imaging Features and Organ Co‐Occurrence in Children With Tuberous Sclerosis Complex

BACKGROUND: Significant differences exist in the patterns and timing of organ involvement in Tuberous sclerosis complex (TSC). We sought to analyze potential differences in multiorgan involvement between TSC1 and TSC2 genotypes based on imaging findings, thereby elucidating the disease expression profile of TSC. METHODS: This retrospective investigation encompassed 112 individuals diagnosed with tuberous sclerosis at a tertiary hospital in China between March 2020 and March 2025. Clinical presentations, imaging findings, and genetic data were analyzed to evaluate the involvement of the brain, heart, and kidneys in patients with TSC1 and TSC2 mutations. RESULTS: Among 112 patients (median age 7.17 years; 60.7% male). No significant differences were observed in cerebral and cardiac involvement between TSC1 and TSC2 mutations (p > 0.05). However, patients with TSC2 mutations faced an elevated cumulative risk of renal angiomyolipoma (TSC2: 48.5% vs. TSC1: 11.4%, p < 0.001) and renal cysts (TSC2: 33.8% vs. TSC1: 9.1%, p = 0.003). The most frequent combined involvement patterns include brain-heart and brain-heart-kidney involvement, while isolated brain involvement was the predominant single-organ phenotype. CONCLUSION: Multisystem imaging heterogeneity and co-occurrence analysis in pediatric tuberous sclerosis complex may facilitate the prediction of disease evolution and inform long-term clinical management.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Ultrasound
Published
2026-06-19
DOI
https://doi.org/10.1002/jcu.70310
Primary Topic
Tuberous Sclerosis Complex Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multisystem Imaging Features and Organ Co‐Occurrence in Children With Tuberous Sclerosis Complex

Li Yuan, Manli Fu, Chengwen Guo, Jingzhe Liu et al.
Journal of Clinical Ultrasound
Tuberous Sclerosis Complex Research
article

Multisystem Imaging Features and Organ Co‐Occurrence in Children With Tuberous Sclerosis Complex

Li Yuan, Manli Fu, Chengwen Guo, Jingzhe Liu, Yan Tan, Yi Wang
article en

Abstract

BACKGROUND: Significant differences exist in the patterns and timing of organ involvement in Tuberous sclerosis complex (TSC). We sought to analyze potential differences in multiorgan involvement between TSC1 and TSC2 genotypes based on imaging findings, thereby elucidating the disease expression profile of TSC. METHODS: This retrospective investigation encompassed 112 individuals diagnosed with tuberous sclerosis at a tertiary hospital in China between March 2020 and March 2025. Clinical presentations, imaging findings, and genetic data were analyzed to evaluate the involvement of the brain, heart, and kidneys in patients with TSC1 and TSC2 mutations. RESULTS: Among 112 patients (median age 7.17 years; 60.7% male). No significant differences were observed in cerebral and cardiac involvement between TSC1 and TSC2 mutations (p > 0.05). However, patients with TSC2 mutations faced an elevated cumulative risk of renal angiomyolipoma (TSC2: 48.5% vs. TSC1: 11.4%, p < 0.001) and renal cysts (TSC2: 33.8% vs. TSC1: 9.1%, p = 0.003). The most frequent combined involvement patterns include brain-heart and brain-heart-kidney involvement, while isolated brain involvement was the predominant single-organ phenotype. CONCLUSION: Multisystem imaging heterogeneity and co-occurrence analysis in pediatric tuberous sclerosis complex may facilitate the prediction of disease evolution and inform long-term clinical management.

Journal of Clinical Ultrasound
Wuhan Children's Hospital (CN)
Science and Technology Department of Hubei Province
Good health and well-being
Openalex Percentile: Top 7%
Tuberous Sclerosis Complex Research
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.