Background: Postoperative outcome after pulmonary endarterectomy (PEA) for CTEPH (chronic thromboembolic pulmonary hypertension) is difficult to predict. We analyzed specific angiographic findings to predict the success of PEA.
Methods: Pulmonary angiograms were reviewed retrospectively in 90 patients with CTEPH who underwent PEA. The proximal 2 cm of a segmental artery were classified into the following: A, occlusion; B, pouch or membrane; or C, delayed perfusion. The number of involved segments was recorded. Logistic regression analysis was used to predict mortality and hemodynamic improvement after PEA.
Results: An average of 15.7 +/- 2.9 segments were involved angiographically per patient (A, 7.6 +/- 2.9; B, 4.6 +/- 3.1; C, 3.5 +/- 2.7). No variable was significant in multivariate analysis to predict early mortality (n = 6, 6.7%). More than 50% reduction in postoperative pulmonary vascular resistance (PVR) at 24 hours (n = 71) could be predicted by higher PVR, more involved segments, male gender, and higher diastolic pulmonary arterial pressure with an area under the curve in the receiver operating characteristics curve of 0.9021. The PVR less than 400 dynes x sec x cm(-5) at 48 hours after PEA (n = 81) could be predicted by type B lesions, duration of symptoms, more involved segments, and serum creatinine level with area under the curve in the receiver operating characteristics curve of 0.9160. The PVR at 48 hours after PEA could be predicted by serum creatinine level, involved segments, PVR, and gender (P < 0.001, R = 0.551, R(2) = 0.304).
Conclusions: Angiographic criteria can predict the success of PEA. Segments with obstruction but preserved peripheral perfusion seem to have more impact than occluded segments on hemodynamic improvement.
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http://dx.doi.org/10.1016/j.athoracsur.2010.05.008 | DOI Listing |
BMC Neurol
January 2025
Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, School of Medicine, College of Medicine, National Sun Yat-Sen University, No. 123 Ta-Pei Road, Niao-Sung Dist, Kaohsiung, 83305, Taiwan.
Background And Purpose: White matter hyperintensities in brain MRI are key indicators of various neurological conditions, and their accurate segmentation is essential for assessing disease progression. This study aims to evaluate the performance of a 3D convolutional neural network and a 3D Transformer-based model for white matter hyperintensities segmentation, focusing on their efficacy with limited datasets and similar computational resources.
Materials And Methods: We implemented a convolution-based model (3D ResNet-50 U-Net with spatial and channel squeeze & excitation) and a Transformer-based model (3D Swin Transformer with a convolutional stem).
Med Biol Eng Comput
January 2025
Department of Computer Science and Engineering, Shri Shankaracharya Institute of Professional Management and Technology, Raipur, (C.G.), India.
This study presents an advanced methodology for 3D heart reconstruction using a combination of deep learning models and computational techniques, addressing critical challenges in cardiac modeling and segmentation. A multi-dataset approach was employed, including data from the UK Biobank, MICCAI Multi-Modality Whole Heart Segmentation (MM-WHS) challenge, and clinical datasets of congenital heart disease. Preprocessing steps involved segmentation, intensity normalization, and mesh generation, while the reconstruction was performed using a blend of statistical shape modeling (SSM), graph convolutional networks (GCNs), and progressive GANs.
View Article and Find Full Text PDFActa Parasitol
January 2025
Department of Veterinary Medicine, Federal University of Paraná, Rua Dos Funcionários, 1540, Curitiba, Paraná, 80035-050, Brazil.
Purpose: The aim of the present study was to establish a SYBR Green-based real-time PCR assay for detection of the Nc5 segment from the Neospora caninum genome.
Methods: The oligonucleotides sequences targeting the Nc5 gene previously reported and designed in-house were validated. Two Primer sets were evaluated and tested in four different combinations.
Neurosurg Rev
January 2025
Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, 300000, China.
Loss of cervical lordosis (LOCL) is the most common postoperative cervical deformity. This study aimed to identify the predictors of LOCL by investigating the relationship between various factors and LOCL development after surgery for cervical spinal cord tumors. A retrospective analysis was conducted on 51 patients who underwent cervical spinal tumor resection at a single center.
View Article and Find Full Text PDFComput Biol Med
January 2025
Division of Electronics and Information Engineering, College of Engineering, Jeonbuk National University, 567, Baekje-daero, Deokjin-gu, 54896, Jeonju, Republic of Korea. Electronic address:
Kidney stone is a common urological disease in dogs and can lead to serious complications such as pyelonephritis and kidney failure. However, manual diagnosis involves a lot of burdens on radiologists and may cause human errors due to fatigue. Automated methods using deep learning models have been explored to overcome this limitation.
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