Magdalena Duma

ORCID: 0000-0001-7657-2222
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About
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Research Areas
  • Ultrasound Imaging and Elastography
  • Breast Lesions and Carcinomas
  • Cancer and Skin Lesions
  • Ultrasound and Hyperthermia Applications
  • Infrared Thermography in Medicine
  • Soft tissue tumor case studies
  • Ultrasonics and Acoustic Wave Propagation
  • Radiomics and Machine Learning in Medical Imaging
  • Autoimmune Bullous Skin Diseases
  • Cancer Diagnosis and Treatment
  • Dermatological and Skeletal Disorders
  • Cutaneous lymphoproliferative disorders research
  • MRI in cancer diagnosis
  • Lung Cancer Diagnosis and Treatment
  • Complementary and Alternative Medicine Studies
  • Lymphadenopathy Diagnosis and Analysis
  • Bone health and osteoporosis research
  • Medical Imaging and Analysis

Iuliu Hațieganu University of Medicine and Pharmacy
2011-2021

Microelectronica (Romania)
2020

Spitalul Clinic Județean de Urgență Cluj-Napoca
2009

County Hospital
2008

Ziel: Ziel war die Beschreibung der sonoelastischen Darstellung von Mammazysten (einfache Zysten, komplizierte Zysten mit Sedimentation und komplexe soliden Anteilen) sowie Beurteilung des Einflusses Sonoelastografie auf BI-RADS Klassifikation bei komplizierten Zysten. Material Methoden: Zwischen Mai 2007 Juli 2008 wurden prospektiv alle Patienten unseres Brustzentrums in eine Studie eingeschlossen. Die Untersuchungen durch den gleichen Radiologen durchgeführt. Alle Läsionen wurde mittels...

10.1055/s-0029-1245699 article DE Ultraschall in der Medizin - European Journal of Ultrasound 2010-10-22

The purpose of this study was to determine the impact strain elastography (SE) on Breast Imaging Reporting Data System (BI-RADS) classification depending invasive lobular carcinoma (ILC) lesion size.We performed a retrospective analysis sample 152 female subjects examined between January 2010 - 2017. SE all patients and ILC subsequently diagnosed by surgical or ultrasound-guided biopsy. BI-RADS 1, 2, 6 Tsukuba BGR cases were omitted. scores recorded before after use SE. differences compared...

10.11152/mu-1272 article EN Medical Ultrasonography 2018-02-24

Purpose: To establish the correlations between ultrasound (US) BI-RADS classification and Ueno-Itoh elastography score when assessing breast lesions.

10.1055/s-2008-1079811 article EN Ultraschall in der Medizin - European Journal of Ultrasound 2008-05-15

Most breast cancers are stiffer than surrounding normal parenchyma, mainly due to the accompanying desmoplastic reaction of affected tissue (Martegani A et al. ECR 2005; C-0209). The principle sonoelastography relies on relative resistance stiff tissues movement compared softer adjacent ones when slight probe pressure is applied (Itoh Radiology 2006; 239: 341 – 350).

10.1055/s-2008-1027995 article EN Ultraschall in der Medizin - European Journal of Ultrasound 2009-10-07

To validate the usefulness of a dedicated software for quantitative analysis sonoelastographic images. A measuring average values color channels, intensity and hue (AvgHue) on images was developed. We used Hitachi 8500 EUB scanner an elastography phantom. Two observers performed each two sets measurements same 432 Inter- intraobserver variability calculated using concordance correlation coefficient (ρc) associated 95% confidence interval at significance level 5%. Inter-observer revealed...

10.1016/j.ultrasmedbio.2011.05.231 article EN other-oa Ultrasound in Medicine & Biology 2011-07-28

Ipsilateral axillary lymphadenopathy related to COVID-19 vaccine was reported as a side effect and started raise diagnostic dilemmas especially in oncology patients. Breast cancer patients are particularly prone this benign pitfall that may result unfortunate management changing or unnecessary biopsy, both causing additional emotional stress for the We present three cases with one bilateral supraclavicular lymphadenopathy, focus on what haven’t been yet: deep more superior location...

10.23958/ijirms/vol06-i10/1233 article EN cc-by International Journal of Innovative Research in Medical Science 2021-10-10
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