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Radiología, medicina nuclear e imagen

Imágenes médicas y procedimientos guiados por imagen, que incluyen la radiología diagnóstica e intervencionista, la medicina nuclear, la planificación de radioterapia y los avances en tecnología de imagen

4 artículos

Artículos

Low-Risk Differentiated Thyroid Cancer and Radioiodine Remnant Ablation: A Systematic Review of the Literature

A review of studies found no evidence that radioactive iodine treatment after surgery benefits low-risk differentiated thyroid cancer patients. The results for intermediate-risk patients are mixed, with some studies suggesting a benefit and others showing no effect. This highlights the need for better quality evidence, such as from randomized controlled trials, to guide decisions about radioactive iodine treatment in these patients.

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Radiología, medicina nuclear e imagen 30 ago 2025, 14:57:31

UNETR: Transformers for 3D Medical Image Segmentation

This paper introduces UNETR, a novel transformer-based architecture for 3D medical image segmentation. UNETR leverages the power of transformers to capture global multi-scale information and achieves state-of-the-art performance on several benchmarks, including the BTCV and MSD datasets.

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Radiología, medicina nuclear e imagen 14 jul 2025, 7:01:42

Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update

This paper presents updated guidelines for standardized cardiovascular magnetic resonance (CMR) imaging protocols, covering various aspects from patient preparation and safety considerations to specific disease-oriented protocols. It emphasizes the use of advanced imaging techniques like T1 and T2 mapping, as well as stress perfusion and late gadolinium enhancement, while acknowledging the limitations posed by vendor-specific sequences and resource availability.

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Radiología, medicina nuclear e imagen 14 jul 2025, 7:01:38

TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis

TimeFlow, a novel framework for longitudinal brain MRI registration, allows for future brain image prediction and aging progression analysis without relying on segmentation. Leveraging a time-conditioned U-Net architecture, it overcomes limitations of existing methods by eliminating the need for explicit smoothness constraints and enabling extrapolation from limited temporal data.

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Radiología, medicina nuclear e imagen 9 jul 2025, 11:38:41