Caroline Dartora

Caroline Dartora

Postdoctoral Researcher
Visiting address: Blickagången 16, 14152 Huddinge
Postal address: H1 Neurobiologi, vårdvetenskap och samhälle, H1 Klinisk geriatrik Westman, 171 77 Stockholm

About me

  • Postdoc at NVS, working in understand the differences between biological and chronological age through brain MRI.

    Research
    2021 - Present Westman's Neuroimaging group, KI, Sweden. Working with a deep learning model for biological brain age prediction using MR images.
    2014 - 2021 Medical Image Computing Laboratory (MEDICOM), PUCRS, Brazil. Medical image processing techniques and quantitative analysis in X ray, CT, SPECT, PET, and MR images. Experience with PET quantification, Monte Carlo simulation for internal dosimetry, radiomics, statistics, and machine learning methods.

    Education
    2017 - 2021 - PhD in Biomedical Gerontology: Biological Aspects of Aging, PUCRS, Brazil.
    2019 - 2020 - Visiting PhD student, KU Leuven, Belgium.
    2015 - 2017 - Master's degree in Biomedical Engineering, PUCRS, Brazil.
    2011 - 2014 - Bachelor's in Medical Physics, PUCRS, Brazil.

    Grants and Awards
    2023 - 2024 Postdoctoral grant from the David och Astrid Hageléns Foundation, Stockholm, Sweden.
    2022 & 2023 Gun och Bertil Stohnes Stiftelse, Sweden.
    2023 Stiftelsen för Gamla Tjänarinnor, Sweden.
    2022 Foundation for Geriatric Disease at Karolinska Institutet, Sweden.
    2020 Alzheimer's Association International Conference (AAIC) Travel Award, Alzheimer's Association.
    2020 Best poster award, University Medical Center Groningen.
    2020 COVID19 Best Paper Award, IEEE Computer Society.
    2019 Programa Institucional de Internacionalização CAPES - PrInt, CAPES (International PhD scholarship).
    2017 Programa de Excelência Acadêmica PROEX – IES Comunitárias, CAPES (Full PhD scholarship).

Articles

All other publications

Grants

  • Coordenação de Aperfeicoamento de Pessoal de Nível Superior
    1 January 2020
    The general objective of the project is to implement a strategy for analyzing the radiomic signature in radiological images of X-rays and computed tomography, looking for differences between individuals positive for COVID-19 and other infectious and inflammatory lung diseases, correlating them with the outcomes of pneumonia. atypical and prognostic factors of severity.
  • Coordenação de Aperfeicoamento de Pessoal de Nível Superior
    1 January 2019
    The objective of this project is to use machine learning (also known as Machine Learning) and radiomics techniques to detect objects of interest and classify patterns in medical images of different modalities, in order to extract quantitative information that allows the interpretation doctor
  • Coordenação de Aperfeicoamento de Pessoal de Nível Superior
    1 January 2018
    This project aims to investigate patterns and evaluate brain connectivity throughout the aging process, using multimodal PET/CT/MR images.
  • Coordenação de Aperfeicoamento de Pessoal de Nível Superior
    1 August 2017
    Quantification of tumors using the SUV (Standardized Uptake Value, semi-quantitative estimate of normalized radioactivity concentration - in PET/CT scans with [18F]FDG) proves to be useful for diagnosis, staging, evaluation of response and follow-up of treatments in oncology, the point that this value was incorporated in the elaboration of the medical reports of the PET/CT studies. However, research indicates that there are several factors that cause variability in the SUV determination. The objective of this project is to implement a strategy for harmonizing acquisition protocols, reconstruction and analysis of PET/CT scans with [18F]FDG so that institutions serving the SUS are able to generate values (SUV) reproducible and with known accuracy. To this end, workshops will be held to qualify the technical staff of the nuclear medicine services involved regarding standardization of [18F]FDG PET/CT scan protocols and performance of the necessary quality control tests. In each service will be clinically available and relevant reconstruction parameters were investigated. The performance specifications that can be harmonized between the equipment and the appropriate reconstruction parameters to harmonize the quantification in each equipment analyzed. This strategy, based on European accreditation program EARL FDG-PET/CT Accreditation Program, will allow greater quantitative accuracy of the SUV for the diagnosis of tumors in PET/CT exams with [18F]FDG in different equipment, in addition to allowing the intercomparability of exams performed in different institutions that serve the SUS. It is intended to initially involve a limited number of reference services that serve the SUS in the states of Rio Grande do Sul and São Paulo in the project, which will act as multipliers of the strategy of standardization and harmonization of protocols for the acquisition and processing of PET/CT exams with [18F]FDG in the country.
  • Coordenação de Aperfeicoamento de Pessoal de Nível Superior
    1 January 2016
    To stregthen the clinical applications of Nuclear Medicine in Brazil by means of developing new radiopharmaceuticals under GMP conditions and implementing quality management systems in nuclear medicine practices.
  • Coordenação de Aperfeicoamento de Pessoal de Nível Superior
    2 March 2015
    This project proposes to investigate the strengths and limitations of methods for quantifying dynamic PET neuroimages produced with short half-life radiopharmaceuticals, which eliminate the need for blood sampling throughout the entire acquisition, minimizing patient discomfort.

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