Leila Abadian, Negin Masoudi Alavi, Zahra Tagharrobi
Clinical nursing competency during epidemics: a qualitative content analysis
BMC nursing
metastatic brain cancer condition characterized migration cancer cells brain extracranial sites notably metastatic brain tumors surpass primary brain tumors prevalence significant factor exhibit aggressive growth potential capacity spread across diverse cerebral locations simultaneously magnetic resonance imaging mri scans individuals afflicted metastatic brain tumors unveil wide spectrum characteristics lesions vary size quantity spanning tiny nodules substantial masses captured within mri patients may present limited number lesions extensive burden hundreds moreover longitudinal studies may depict surgical resection cavities well areas necrosis edema thus manual analysis mri scans difficult userdependent costinefficient importantly lacks reproducibility address challenges propose pipeline detecting analyzing brain metastases longitudinal studies benefits ensemble various deep learning architectures originally designed different downstream tasks detection segmentation experiments performed 275 multimodal mri scans 87 patients acquired 53 sites coupled rigorously validated manual annotations revealed pipeline built upon opensource tools ensure reproducibility offers highquality detection allows precisely tracking disease progression objectively quantify generalizability models introduce new data stratification approach accommodates heterogeneity dataset used elaborate trainingtest splits datarobust manner alongside new set quality metrics objectively assess algorithms system provides fully automatic quantitative approach may support physicians laborious process disease progression tracking evaluation treatment efficacy