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Objectives: For more than a decade, 3-dimensional (3D) printing has been identified as an innovative tool for the surgical planning of double-outlet right ventricle (DORV). Nevertheless, lack of evidence concerning its benefits encourages us to identify valuable criteria for future prospective trials.
Methods: We conducted a retrospective study involving 10 patients with DORV operated between 2015 and 2019 in our center. During a preoperative multidisciplinary heart team meeting, we harvested surgical decisions following a 3-increment step process: (1) multimodal imaging; (2) 3D virtual valvular reconstruction (3DVVR); and (3) 3D-printed heart model (3DPHM). The primary outcome was the proportion of predicted surgical strategy following each of the 3 steps, compared with the institutional retrospective surgical strategy. The secondary outcome was the change of surgical strategy through 3D modalities compared with multimodal imaging. The incremental benefit of the 3DVVR and 3DPHM over multimodal imaging was then assessed.
Results: The operative strategy was predicted in 5 cases after multimodal imaging, in 9 cases after 3DVVR, and the 10 cases after 3DPHM. Compared with multimodal imaging, 3DVVR modified the strategy for 4 cases. One case was correctly predicted only after 3DPHM inspection.
Conclusions: 3DVVR and 3DPHM improved multimodal imaging in the surgical planning of patients with DORV. 3DVVR allowed a better appreciation of the relationships between great vessels, valves, and ventricular septal defects. 3DPHM offers a realistic preoperative view at patient scale and enhances the evaluation of outflow tract obstruction. Our retrospective study demonstrates benefits of preoperative 3D modalities and supports future prospective trials to assess their impact on postoperative outcomes.
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http://dx.doi.org/10.1016/j.xjtc.2022.11.005 | DOI Listing |
J Neuroimaging
September 2025
Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.
Background And Purpose: Socioeconomic determinants of health impact childhood development and adult health outcomes. One key aspect is the physical environment and neighborhood where children live and grow. Emerging evidence suggests that neighborhood deprivation, often measured by the Area Deprivation Index (ADI), may influence neurodevelopment, but longitudinal and multimodal neuroimaging analyses remain limited.
View Article and Find Full Text PDFBrain Imaging Behav
September 2025
Department of Critical Care Medicine, Beijing Tiantan Hospital, Capital Medical University, South 4th Ring West Road 119, Fengtai District, Beijing, 100070, China.
To explore the effect of brain cognitive compensation on the pathogenesis of postoperative delirium (POD) in the frontal glioma patients. Eighty-four adult patients with unilateral frontal glioma who underwent elective craniotomy and 37 healthy controls were recruited. Primary outcomes were POD during postoperative 1-7 days, as assessed by Confusion Assessment Method.
View Article and Find Full Text PDFArtif Intell Med
August 2025
University of Science and Technology of China, 230000, Hefei, China; Anhui Province Key Laboratory of Biomedical Imaging and Intelligent Processing, Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China. Electronic address:
The diagnosis of brain tumors is pivotal for effective treatment, with MRI serving as a commonly used non-invasive diagnostic modality in clinical practices. Fundamentally, brain tumor diagnosis is a type of pattern recognition task that requires the integration of information from multi-modal MRI images. However, existing fusion strategies are hindered by the scarcity of multi-modal imaging samples.
View Article and Find Full Text PDFColloids Surf B Biointerfaces
September 2025
Department of Pharmaceutical Sciences, Philadelphia College of Pharmacy, Saint Joseph's University, Philadelphia, PA 19104, USA. Electronic address:
The clinical demand for safer, more precise, and functionally versatile imaging tools has intensified with the increasing complexity of disease diagnosis and management. Despite major strides in imaging technologies such as MRI, CT, USG, and PET/SPECT, many modalities are grappled by issues including low specificity, high systemic toxicity of contrast agents, and limited ability to provide real-time functional data. Dreaded by these shortcomings, nanotechnology-based approaches such as liposomes, quantum dots (QDs), polymeric nanoparticles (NPs), gold NPs, lipid NPs, and metallic NPs have emerged as promising alternatives.
View Article and Find Full Text PDFComput Methods Programs Biomed
September 2025
School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, Jiangsu, China. Electronic address:
Background And Objective: The quantitative knowledge of the influence of the small airway disease on the functional changes in chronic obstructive pulmonary disease (COPD) patients has been severely limited.
Methods: This study presents an innovative patient-specific computational framework that integrates CT and OCT imaging data with multiscale computational fluid dynamics (CFD) analysis. A three-dimensional tracheobronchial tree is reconstructed from CT scans of a mild COPD patient, spanning from the central airway to the 4th generation bronchial bifurcations.