Revista do Colégio Brasileiro de CirurgiõesOBJETIVO: Relatar a experiência do nosso Serviço com a descompressão cirúrgica da árvore biliar através de uma hepatojejunostomia periférica. MÉTODO: Entre julho de 2000 a julho de 2005, 11 pacientes foram à laparotomia para ressecção de tumores do hilo ...
Roberto Pelegrini Coral +4 more
doaj +1 more source
Review article liver metastases
Journal of the Belgian Society of Radiology, 2011 Liver metastases are a very common site of distant metastases. Detection and accurate characterization of liver metastases is of importance to guide therapy.
W Schima +3 more
doaj +1 more source
Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study [PDF]
arXivBackground: Neoplasms remains a leading cause of mortality worldwide, with timely diagnosis being crucial for improving patient outcomes. Current diagnostic methods are often invasive, costly, and inaccessible to many populations. Electrocardiogram (ECG) data, widely available and non-invasive, has the potential to serve as a tool for neoplasms ...
arxiv
Renal Cell Carcinoma Embolization for the Treatment of Budd–Chiari Syndrome
Journal of Clinical Interventional Radiology ISVIR, 2017 Renal cell carcinoma (RCC) is the eighth most common malignancy, accounting for 3% of all newly diagnosed neoplasms. RCC venous invasion occurs in 4 to 10% of cases. We report a case of RCC with extensive vascular invasion and new-onset liver dysfunction.
Stephen Allison +3 more
doaj +1 more source
Meso-hepatectomia: uma alternativa para a ressecção hepática alargada
Revista do Colégio Brasileiro de CirurgiõesOBJETIVO: Discutir as indicações e resultados da meso-hepatectomia (hepatectomia central), um procedimento raro, trabalhoso e desafiador. MÉTODO: Estudo de três pacientes portadores de hepatopatia e diagnóstico de tumor de localização central no ...
Paulo Herman +1 more
doaj +1 more source
A Conditional Point Cloud Diffusion Model for Deformable Liver Motion Tracking Via a Single Arbitrarily-Angled X-ray Projection [PDF]
arXivDeformable liver motion tracking using a single X-ray projection enables real-time motion monitoring and treatment intervention. We introduce a conditional point cloud diffusion model-based framework for accurate and robust liver motion tracking from arbitrarily angled single X-ray projections (PCD-Liver), which estimates volumetric liver motion by ...
arxiv
Hierarchical Convolutional-Deconvolutional Neural Networks for Automatic Liver and Tumor Segmentation [PDF]
arXiv, 2017 Automatic segmentation of liver and its tumors is an essential step for extracting quantitative imaging biomarkers for accurate tumor detection, diagnosis, prognosis and assessment of tumor response to treatment. MICCAI 2017 Liver Tumor Segmentation Challenge (LiTS) provides a common platform for comparing different automatic algorithms on contrast ...
arxiv
Deep Learning-Based Automatic Delineation of Liver Domes in kV Triggered Images for Online Breath-hold Reproducibility Verification of Liver Stereotactic Body Radiation Therapy [PDF]
arXivStereotactic Body Radiation Therapy (SBRT) can be a precise, minimally invasive treatment method for liver cancer and liver metastases. However, the effectiveness of SBRT relies on the accurate delivery of the dose to the tumor while sparing healthy tissue. Challenges persist in ensuring breath-hold reproducibility, with current methods often requiring
arxiv
Liver lesion segmentation informed by joint liver segmentation [PDF]
arXiv, 2017 We propose a model for the joint segmentation of the liver and liver lesions in computed tomography (CT) volumes. We build the model from two fully convolutional networks, connected in tandem and trained together end-to-end. We evaluate our approach on the 2017 MICCAI Liver Tumour Segmentation Challenge, attaining competitive liver and liver lesion ...
arxiv
End-to-End Discriminative Deep Network for Liver Lesion Classification [PDF]
arXiv, 2019 Colorectal liver metastasis is one of most aggressive liver malignancies. While the definition of lesion type based on CT images determines the diagnosis and therapeutic strategy, the discrimination between cancerous and non-cancerous lesions are critical and requires highly skilled expertise, experience and time.
arxiv