Magnetic resonance imaging in the preoperative evaluation of breast cancer patients

Galvão, Cristine Norwig

doi:10.1590/0100-3984.2017.50.2e2

Cited by 3 publications

(3 citation statements)

References 15 publications

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“…Breast MRI is an important tool for the locoregional staging of breast neoplasms, because, in addition to being able to provide information on tumor morphology and size, it has high sensitivity and can detect additional lesions that are otherwise occult ( 4 , 11 - 16 ) . In the present study, additional suspicious lesions in the ipsilateral breast were identified in 21.3% of the cases and, in the contralateral breasts, in 8.2% of them, rates similar to those found in the literature.…”

Section: Discussionmentioning

confidence: 99%

Impact of breast magnetic resonance imaging on the locoregional staging and management of breast cancer

et al. 2019

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Objective: To assess the impact of magnetic resonance imaging (MRI) on the locoregional staging of breast cancer. Materials and Methods: We evaluated 61 patients with breast cancer who underwent pre-treatment breast MRI, between August 2015 and April 2016. An experienced breast surgeon determined the surgical treatment, on the basis of the findings of conventional imaging examinations, and made a subsequent treatment recommendation based on the MRI findings, then determining whether the MRI changed the approach, as well as whether it had a positive or negative impact on the treatment. Results: The mean age was 50.8 years (standard deviation, 12.0 years). The most common histological type was invasive breast carcinoma of no special type (in 68.9%), and the most common molecular subtype was luminal B (in 45.9%). Breast MRI modified the therapeutic management in 23.0% of the cases evaluated, having a positive impact in 82.7%. Conclusion: Breast MRI is an useful tool for the locoregional staging of breast cancer, because it provides useful information that can have a positive impact on patient treatment.

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Section: Discussionmentioning

confidence: 99%

Impact of breast magnetic resonance imaging on the locoregional staging and management of breast cancer

et al. 2019

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“…There are chances of false outcomes represented by the confusion matrix of the model. This can lead to incorrect diagnosis and delayed treatment [ 11 ].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Power of Deep Learning: Fine-Tuned Vision Transformer for Accurate and Efficient Brain Tumor Detection in MRI Scans

Asiri,

Shaf,

Ali

et al. 2023

Diagnostics

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A brain tumor is a significant health concern that directly or indirectly affects thousands of people worldwide. The early and accurate detection of brain tumors is vital to the successful treatment of brain tumors and the improved quality of life of the patient. There are several imaging techniques used for brain tumor detection. Among these techniques, the most common are MRI and CT scans. To overcome the limitations associated with these traditional techniques, computer-aided analysis of brain images has gained attention in recent years as a promising approach for accurate and reliable brain tumor detection. In this study, we proposed a fine-tuned vision transformer model that uses advanced image processing and deep learning techniques to accurately identify the presence of brain tumors in the input data images. The proposed model FT-ViT involves several stages, including the processing of data, patch processing, concatenation, feature selection and learning, and fine tuning. Upon training the model on the CE-MRI dataset containing 5712 brain tumor images, the model could accurately identify the tumors. The FT-Vit model achieved an accuracy of 98.13%. The proposed method offers high accuracy and can significantly reduce the workload of radiologists, making it a practical approach in medical science. However, further research can be conducted to diagnose more complex and rare types of tumors with more accuracy and reliability.

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“…Com a evolução tecnológica, surgiu no mercado na década de um novo método de imagens biomédicas chamado imagem por ressonância magnética (MRI), ou apenas ressonância magnética (RM), que trouxe diversos avanços significativos para diagnósticos e pesquisas [1].…”

Section: Introductionunclassified

Análise de dados de manutenção para avaliação da disponibilidade de equipamentos de ressonância magnética em estabelecimentos assistenciais de saúde

Alves¹

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Magnetic Resonance Imaging (MRI) or only Magnetic Resonance (MR) is one of the most important imaging diagnostic and biomedical equipment on the market. However, this equipment is subject to unwanted downtime, affecting the availability of the device and, consequently, causing a reduction in the number of examinations performed by Health Care Establishments (HCEs), in addition to the high operating costs that are spent. The objective of this work was to conduct a study on the main factors affecting the availability and operating costs of magnetic resonance imaging equipment in public and private EASs, and through these values to verify their viability. The method initially adopted was the search for data in the field, that is, to obtain the pertinent data to the historical of occurrences of five different MR equipment. In addition, we tried to analyze the data related to the historical of costs, being, income and expenses for an EAS RM equipment. A priori from the history of occurrences it can be seen that there are categories of service interruptions that actually affect the availability of MRI equipment and, consequently, the amount of examinations performed, leading to economic losses by EASs. In addition, it can be seen that for the analyzed EAS the equipment expense amounts were operating at more than four times the revenue received by the EAS. The data show that there are categories of service interruption that affect the availability of MRI equipment, being detrimental to the safes of the EASs. Moreover, through the data it can be seen that for the analyzed EAS the provision of the MRI service is not feasible.

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Magnetic resonance imaging in the preoperative evaluation of breast cancer patients

Cited by 3 publications

References 15 publications

Impact of breast magnetic resonance imaging on the locoregional staging and management of breast cancer

Impact of breast magnetic resonance imaging on the locoregional staging and management of breast cancer

Exploring the Power of Deep Learning: Fine-Tuned Vision Transformer for Accurate and Efficient Brain Tumor Detection in MRI Scans

Análise de dados de manutenção para avaliação da disponibilidade de equipamentos de ressonância magnética em estabelecimentos assistenciais de saúde

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