Objective To explore the imaging findings of atypical teratoid/rhabdoid tumor(AT/RT)in the central nervous sys-tem of children and to improve the understanding of this disease.Methods A retrospective analysis was conducted on the imaging data of 55 children with AT/RT confirmed by pathology.Results Among the 55 AT/RT children,74.5％were under 3 years old,with a male-to-female ratio of 1.5∶1.Intracranial AT/RT appeared hyperdense or slightly hyperdense on CT scans and accompa-nied by calcification or hemorrhage occasionally.32 cases showed peripheral cystic changes in MRI images.38 cases showed heteroge-neous enhancement,9 cases showed ring-like or band-like enhancement.13 cases showed cerebrospinal fluid dissemination.The mean minimum apparent diffusion coefficient(ADC)value was(0.61±0.11)× 10-3mm2/s.Spinal AT/RT manifested as solitary or mul-tiple intramedullary and/or extradural lesions on MRI,which showed unclear boundary from the spinal cord.Hemorrhage within or at the edge of the lesion was seen in 2 cases,involvement of nerve roots and adjacent muscle tissues in 3 cases,and cerebrospinal fluid dissemination of the intracranial and spinal cord at varying degrees in 5 cases.Conclusion The imaging findings of pediatric AT/RT in the central nervous system are diverse,combining imaging characteristics with age of onset facilitates the accurate diagnosis.

BACKGROUND: There is little literature describing the artificial intelligence (AI)-aided diagnosis of severe pneumonia (SP) subphenotypes and the association of the subphenotypes with the ventilatory treatment efficacy. The aim of our study is to illustrate whether clinical and biological heterogeneity, such as ventilation and gas-exchange, exists among patients with SP using chest computed tomography (CT)-based AI-aided latent class analysis (LCA). METHODS: This retrospective study included 413 patients hospitalized at Xinhua Hospital diagnosed with SP from June 1, 2015 to May 30, 2020. AI quantification results of chest CT and their combination with additional clinical variables were used to develop LCA models in an SP population. The optimal subphenotypes were determined though evaluating statistical indicators of all the LCA models, and clinical implications of them such as guiding ventilation strategies were further explored by statistical methods. RESULTS: The two-class LCA model based on AI quantification results of chest CT can describe the biological characteristics of the SP population well and hence yielded the two clinical subphenotypes. Patients with subphenotype-1 had milder infections ( P <0.001) than patients with subphenotype-2 and had lower 30-day ( P <0.001) and 90-day ( P <0.001) mortality, and lower in-hospital ( P = 0.001) and 2-year ( P <0.001) mortality. Patients with subphenotype-1 showed a better match between the percentage of non-infected lung volume (used to quantify ventilation) and oxygen saturation (used to reflect gas exchange), compared with patients with subphenotype-2. There were significant differences in the matching degree of lung ventilation and gas exchange between the two subphenotypes ( P <0.001). Compared with patients with subphenotype-2, those with subphenotype-1 showed a relatively better match between CT-based AI metrics of the non-infected region and oxygenation, and their clinical outcomes were effectively improved after receiving invasive ventilation treatment. CONCLUSIONS A two-class LCA model based on AI quantification results of chest CT in the SP population particularly revealed clinical heterogeneity of lung function. Identifying the degree of match between ventilation and gas-exchange may help guide decisions about assisted ventilation.
Humans ; Tomography, X-Ray Computed/methods* ; Male ; Female ; Retrospective Studies ; Middle Aged ; Artificial Intelligence ; Aged ; Pneumonia/diagnosis* ; Latent Class Analysis ; Adult

Objective To explore the imaging findings of atypical teratoid/rhabdoid tumor(AT/RT)in the central nervous sys-tem of children and to improve the understanding of this disease.Methods A retrospective analysis was conducted on the imaging data of 55 children with AT/RT confirmed by pathology.Results Among the 55 AT/RT children,74.5％were under 3 years old,with a male-to-female ratio of 1.5∶1.Intracranial AT/RT appeared hyperdense or slightly hyperdense on CT scans and accompa-nied by calcification or hemorrhage occasionally.32 cases showed peripheral cystic changes in MRI images.38 cases showed heteroge-neous enhancement,9 cases showed ring-like or band-like enhancement.13 cases showed cerebrospinal fluid dissemination.The mean minimum apparent diffusion coefficient(ADC)value was(0.61±0.11)× 10-3mm2/s.Spinal AT/RT manifested as solitary or mul-tiple intramedullary and/or extradural lesions on MRI,which showed unclear boundary from the spinal cord.Hemorrhage within or at the edge of the lesion was seen in 2 cases,involvement of nerve roots and adjacent muscle tissues in 3 cases,and cerebrospinal fluid dissemination of the intracranial and spinal cord at varying degrees in 5 cases.Conclusion The imaging findings of pediatric AT/RT in the central nervous system are diverse,combining imaging characteristics with age of onset facilitates the accurate diagnosis.