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View article: A Community Benchmark for the Automated Segmentation of Pediatric Neuroblastoma on Multi-Modal MRI: Design and Results of the SPPIN Challenge at MICCAI 2023
A Community Benchmark for the Automated Segmentation of Pediatric Neuroblastoma on Multi-Modal MRI: Design and Results of the SPPIN Challenge at MICCAI 2023 Open
Surgery plays a key role in treating neuroblastoma. To assist surgical planning, anatomical 3D models derived from the segmentation of anatomical structures on MRI scans are often used. Automation using deep learning can make segmentations…
View article: Risk stratification in neuroblastoma patients through machine learning in the multicenter PRIMAGE cohort
Risk stratification in neuroblastoma patients through machine learning in the multicenter PRIMAGE cohort Open
Introduction Neuroblastoma, the most prevalent solid cancer in children, presents significant biological and clinical heterogeneity. This inherent heterogeneity underscores the need for more precise prognostic markers at the time of diagno…
View article: Automatic magnetic resonance imaging series labelling for large repositories
Automatic magnetic resonance imaging series labelling for large repositories Open
Large medical image repositories present challenges related to unstructured data. A data enrichment process allows the storage of additional information for fast identification of the content and properties of medical imaging studies. The …
View article: Reproducibility Analysis of Radiomic Features on T2-weighted MR Images after Processing and Segmentation Alterations in Neuroblastoma Tumors
Reproducibility Analysis of Radiomic Features on T2-weighted MR Images after Processing and Segmentation Alterations in Neuroblastoma Tumors Open
Purpose To evaluate the reproducibility of radiomics features extracted from T2-weighted MR images in patients with neuroblastoma. Materials and Methods A retrospective study included 419 patients (mean age, 29 months ± 34 [SD]; 220 male, …
View article: Automatic magnetic resonance imaging series labelling for large repositories
Automatic magnetic resonance imaging series labelling for large repositories Open
Large medical image repositories present challenges related to unstructured data. A data enrichment process allows the storage of additional information for fast identification of the content and properties of medical imaging studies. The …
View article: Predictive model of the biological aggressiveness of neuroblastic tumors in children incorporating radiomics
Predictive model of the biological aggressiveness of neuroblastic tumors in children incorporating radiomics Open
Neuroblastic tumors are the most common extracranial solid neoplasms in childhood, arising from neural crest cells. Their diagnosis can vary in clinical presentation and prognosis. Initial staging and tumor characterization are essential f…
View article: Independent Validation of a Deep Learning nnU-Net Tool for Neuroblastoma Detection and Segmentation in MR Images
Independent Validation of a Deep Learning nnU-Net Tool for Neuroblastoma Detection and Segmentation in MR Images Open
Objectives. To externally validate and assess the accuracy of a previously trained fully automatic nnU-Net CNN algorithm to identify and segment primary neuroblastoma tumors in MR images in a large children cohort. Methods. An internationa…
View article: Deep Learning Auto-Segmentation of Diffuse Midline Glioma on Multimodal Magnetic Resonance Images
Deep Learning Auto-Segmentation of Diffuse Midline Glioma on Multimodal Magnetic Resonance Images Open
View article: Comparative Multicentric Evaluation of Inter-Observer Variability in Manual and Automatic Segmentation of Neuroblastic Tumors in Magnetic Resonance Images
Comparative Multicentric Evaluation of Inter-Observer Variability in Manual and Automatic Segmentation of Neuroblastic Tumors in Magnetic Resonance Images Open
Tumor segmentation is one of the key steps in imaging processing. The goals of this study were to assess the inter-observer variability in manual segmentation of neuroblastic tumors and to analyze whether the state-of-the-art deep learning…
View article: A practical solution to estimate the sample size required for clinical prediction models generated from observational research on data
A practical solution to estimate the sample size required for clinical prediction models generated from observational research on data Open
Background Estimating the required sample size is crucial when developing and validating clinical prediction models. However, there is no consensus about how to determine the sample size in such a setting. Here, the goal was to compare ava…
View article: Casuistics of inflammatory myofibroblastic tumor in a tertiary center
Casuistics of inflammatory myofibroblastic tumor in a tertiary center Open
View article: MR Denoising Increases Radiomic Biomarker Precision and Reproducibility in Oncologic Imaging
MR Denoising Increases Radiomic Biomarker Precision and Reproducibility in Oncologic Imaging Open
View article: Casuística de tumor miofibroblástico inflamatorio en centro terciario
Casuística de tumor miofibroblástico inflamatorio en centro terciario Open
View article: Imaging studies in Castleman disease. A case report
Imaging studies in Castleman disease. A case report Open
Castleman’s disease is a rare lymphoproliferative disorder. The localized form is the most frequent and it is usually asymptomatic. Although the definitive diagnosis is histologic, it is necessary to know how it manifests in imaging studie…
View article: A Confidence Habitats Methodology in MR Quantitative Diffusion for the Classification of Neuroblastic Tumors
A Confidence Habitats Methodology in MR Quantitative Diffusion for the Classification of Neuroblastic Tumors Open
Background/Aim: In recent years, the apparent diffusion coefficient (ADC) has been used in many oncology applications as a surrogate marker of tumor cellularity and aggressiveness, although several factors may introduce bias when calculati…
View article: Acute cerebral haematoma in the course of herpes simplex encephalitis: a rare complication
Acute cerebral haematoma in the course of herpes simplex encephalitis: a rare complication Open
View article: Testicular tumours in children: an approach to diagnosis and management with pathologic correlation
Testicular tumours in children: an approach to diagnosis and management with pathologic correlation Open
View article: Hematoma cerebral agudo en la evolución de una encefalitis por virus herpes simple tipo 1. Una complicación infrecuente
Hematoma cerebral agudo en la evolución de una encefalitis por virus herpes simple tipo 1. Una complicación infrecuente Open
View article: Injuries Caused by Safety Belt Following a Traffic Accident
Injuries Caused by Safety Belt Following a Traffic Accident Open
It is a fracture that affects only one vertebra and consists of an anterior wedge fracture of the vertebral body that extends horizontally through posterior elements and affects both articular processes. Although CT does not allow adequate…
View article: The various etiologies of the “pulmonary vein sign”
The various etiologies of the “pulmonary vein sign” Open
Poster: ESTI 2019 / P-0087 / The various etiologies of the “pulmonary vein sign” by: C. F. Munoz-Nunez , D. Veiga-Canuto, L. F. Londono-Villa, M. P. Calvillo, C. Fonfria, L. Trilles, A. Carreres; Valencia/ES