Camila Vilas Boas Machado

ORCID: 0000-0001-6812-506X
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About
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Research Areas
  • Lung Cancer Diagnosis and Treatment
  • Atomic and Subatomic Physics Research
  • Radiomics and Machine Learning in Medical Imaging
  • MRI in cancer diagnosis
  • Prostate Cancer Diagnosis and Treatment
  • Palliative and Oncologic Care
  • Health Education and Validation
  • Advanced X-ray and CT Imaging
  • Prostate Cancer Treatment and Research
  • Gastric Cancer Management and Outcomes
  • Medical Imaging and Pathology Studies
  • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis

Universidade de São Paulo
2021-2025

Universidade de Ribeirão Preto
2021-2024

Abstract Objective: To explore the feasibility of two magnetic resonance imaging (MRI) sequences—high-resolution T2-weighted (HR T2) and Look-Locker T1 (LL T1) relaxometry—for investigation focal lung lesions (FLLs). As a secondary objective, we analyzed diagnostic accuracy these sequences. Materials Methods: This was prospective observational study involving 39 subjects with FLLs scanned in 1.5-T MRI system LL relaxometry HR T2 sequences focused on FLL region, addition to conventional...

10.1590/0100-3984.2024.0033 article EN Radiologia Brasileira 2024-01-01

To determine whether the radiomic features of lung lesions on computed tomography correlate with overall survival in cancer patients.This was a retrospective study involving 101 consecutive patients malignant neoplasms confirmed by biopsy or surgery. On images, were submitted to semi-automated segmentation and characterized basis 2,465 variables. The prognostic assessment based Kaplan-Meier analysis log-rank tests, according median value variables.Of evaluated, 28 died (16 dying from...

10.1590/0100-3984.2019.0135 article EN Radiologia Brasileira 2021-03-26
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