Assistant Professor of Medical Physics, Debre Tabor University, Ethiopia
Dr. Eyachew Misganew Tegaw is an Assistant Professor at Debre Tabor University, Ethiopia, specializing in Medical Physics. He earned his PhD from Tehran University of Medical Sciences, focusing on enhancing intraoperative radiotherapy for breast cancer using nanoparticles. With a robust background in condensed matter and applied physics, Dr. Tegaw has contributed significantly to radiotherapy, dosimetry, and medical imaging research. His work integrates advanced computational methods, including Monte Carlo simulations and machine learning, to improve cancer treatment outcomes. Dr. Tegaw’s dedication to academia and research has positioned him as a leading figure in medical physics, with numerous publications and collaborations that underscore his commitment to advancing cancer therapy.
Professional Profile
Education
Dr. Eyachew Misganew Tegaw’s academic journey began with a BSc in Applied Physics from the University of Gondar, Ethiopia. He then pursued an MSc in Condensed Matter Physics at Mekelle University, where he conducted a theoretical study on gold-coated iron nanoparticles for medical applications. His academic pursuits culminated in a PhD in Medical Physics from Tehran University of Medical Sciences, Iran. His doctoral research focused on enhancing intraoperative radiotherapy for breast cancer using effective nanoparticles, under the guidance of esteemed supervisors and advisors. Throughout his education, Dr. Tegaw has undertaken comprehensive coursework in areas such as radiobiology, radiation protection, imaging techniques, and computational physics, laying a strong foundation for his research endeavors in medical physics.
Experience
Dr. Eyachew Misganew Tegaw has amassed extensive experience in academia and research. He began his career as a Lecturer in the Department of Physics at Debre Tabor University, Ethiopia, where he served from April 2011 to August 2016. Following his doctoral studies, he resumed his role at the university as an Assistant Professor in October 2020. In addition to teaching, Dr. Tegaw has held leadership positions, including Head of the Physics Department and Chairman of the Ethiopian Space Science Society’s Debre Tabor branch. His responsibilities have encompassed curriculum development, research supervision, and organizing workshops aimed at enhancing educational quality and research output. Dr. Tegaw’s commitment to education and research has significantly contributed to the advancement of medical physics in Ethiopia.
Research Focus
Dr. Eyachew Misganew Tegaw’s research centers on advancing cancer treatment through medical physics. His primary focus areas include radiotherapy techniques such as 3D-CRT, IMRT, VMAT, and IORT, with a particular interest in dose enhancement using nanoparticles. He employs Monte Carlo simulations to model radiation interactions and optimize treatment planning. Dr. Tegaw also explores the integration of artificial intelligence and machine learning to predict treatment outcomes and personalize therapy. His interdisciplinary approach extends to imaging modalities like CT, MRI, and nuclear medicine, aiming to improve diagnostic accuracy and treatment efficacy. Through his research, Dr. Tegaw seeks to bridge the gap between theoretical physics and clinical applications, contributing to the development of more effective and safer cancer therapies.
Publication Top Notes
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Explainable Machine Learning to Compare the Overall Survival Status Between Patients Receiving Mastectomy and Breast Conserving Surgeries
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Authors: Betelhem Bizuneh Asfaw, Eyachew Misganew Tegaw
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Published: March 2025
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Journal: Scientific Reports
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Summary: This study utilizes explainable machine learning techniques to compare survival outcomes between breast cancer patients undergoing mastectomy versus breast-conserving surgery, providing insights into treatment efficacy.
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Explainable Machine Learning and Feature Interpretation to Predict Survival Outcomes in the Treatment of Lung Cancer
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Authors: Eyachew Misganew Tegaw, Betelhem Bizuneh Asfaw
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Published: May 2025
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Journal: Seminars in Oncology
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Summary: The research applies explainable machine learning models to predict survival outcomes in lung cancer treatment, highlighting key biomarkers influencing patient prognosis.
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Attenuation Correction for Dedicated Cardiac SPECT Imaging Without Using Transmission Data
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Authors: Getu Tadesse, Parham Geramifar, Mehrshad Abbasi, Eyachew Misganew Tegaw, et al.
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Published: February 2023
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Journal: Molecular Imaging and Radionuclide Therapy
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Summary: This study proposes a method for attenuation correction in cardiac SPECT imaging without relying on transmission data, enhancing image quality and diagnostic accuracy.
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Diagnostic Performance of Mammography and Ultrasound in Breast Cancer: A Systematic Review and Meta-Analysis
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Authors: Getu Tadesse, Eyachew Misganew Tegaw, Ejigu Kebede Abdisa
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Published: January 2023
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Journal: Journal of Ultrasound
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Summary: The meta-analysis evaluates the diagnostic accuracy of mammography and ultrasound in breast cancer detection, providing evidence-based recommendations for clinical practice.
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Gold-Nanoparticle-Enriched Breast Tissue in Breast Cancer Treatment Using the INTRABEAM® System: A Monte Carlo Study
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Authors: Eyachew Misganew Tegaw, Ghazale Geraily, Somayeh Gholami, Mehdi Shojaei, Getu Tadesse
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Published: March 2022
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Journal: Radiation and Environmental Biophysics
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Summary: This research investigates the use of gold nanoparticles to enhance the efficacy of intraoperative radiotherapy in breast cancer treatment, utilizing Monte Carlo simulations for dose distribution analysis.
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Comparison of Organs at Risk Doses Between Deep Inspiration Breath-Hold and Free-Breathing Techniques During Radiotherapy of Left-Sided Breast Cancer: A Meta-Analysis
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Authors: Eyachew Misganew Tegaw, Getu Tadesse, Ghazale Geraily, Somayeh Gholami, Wondesen Tassew Gebreamlak
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Published: March 2022
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Journal: Polish Journal of Medical Physics and Engineering
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Summary: The study compares radiation doses to critical organs using deep inspiration breath-hold versus free-breathing techniques in left-sided breast cancer radiotherapy, highlighting the benefits of breath-hold methods.
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Dosimetric Effect of Nanoparticles in the Breast Cancer Treatment Using INTRABEAM® System with Spherical Applicators in the Presence of Tissue Heterogeneities: A Monte Carlo Study
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Authors: Eyachew Misganew Tegaw, Ghazale Geraily, Seyed Mohsen Etesami, Hossein Ghanbari, Somayeh Gholami, Mehdi Shojaei, Mostafa Farzin, Getu Tadesse
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Published: April 2021
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Journal: Biomedical Physics & Engineering Express
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Summary: This study evaluates the impact of tissue heterogeneities on dose distribution when using nanoparticles in intraoperative radiotherapy for breast cancer, employing Monte Carlo simulations for analysis.
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A Comparison Between EGSnrc/Epp and MCNP Monte Carlo Codes in Simulation of the INTRABEAM® System with Spherical Applicators
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Authors: Eyachew Misganew Tegaw, Ghazale Geraily, Seyed Mohsen Etesami, Somayeh Gholami, Hossein Ghanbari, Mostafa Farzin, Getu Tadesse, Mehdi Shojaei
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Published: January 2021
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Journal: Journal of Biomedical Physics & Engineering
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Summary: The research compares two Monte Carlo simulation codes, EGSnrc/Epp and MCNP, in modeling the INTRABEAM® system for breast cancer treatment, assessing their accuracy and computational efficiency.
Conclusion
Dr. Eyachew Misganew Tegaw stands out as a promising and innovative researcher in the field of medical physics and oncology technology. His diverse yet focused expertise, combined with his growing publication record, interdisciplinary approaches, and contribution to science leadership in Ethiopia, strongly support his nomination for a Best Researcher Award.