Assistant Professor in Medical Physics, Iran University of Medical Sciences, Iran.
Dr. Manijeh Beigi, Ph.D., an Assistant Professor at Iran University of Medical Sciences, excels in radiotherapy physics with a focus on radiotherapy toxicity, radiomics, dosiomics, and advanced MR imaging. She completed her Ph.D. at Tehran University of Medical Sciences, researching diffusion tensor imaging for radiotherapy treatment planning. Her career includes significant roles at Imam Hosein Hospital, Haft-e-Tir Hospital, and Pardis Niloo Cancer Center, where she has specialized in 3D conformal and IMRT radiotherapy, dosimetry, and quality assurance. Dr. Beigi’s research has led to numerous high-impact publications and conference presentations. As a dedicated educator, she supervises several student theses and manages research projects. Recognized for her exceptional academic achievements, including top rankings in national entrance exams, Dr. Beigi is a leading figure in her field, combining innovative research with strong leadership and mentorship skills.
Profile:
Education
Dr. Manijeh Beigi earned her Ph.D. in Medical Physics from Tehran University of Medical Sciences in 2018. Her doctoral research focused on applying diffusion tensor imaging (DTI) for radiotherapy treatment planning, specifically aiming to determine the glioma’s clinical target volume for intensity-modulated radiotherapy (IMRT) using a combination of quantitative information from multiparametric MR imaging. Prior to this, Dr. Beigi completed her Master of Science in Medical Physics at Tarbiat Modares University in 2010, where her thesis examined the quality audit of radiotherapy dosimetry under various conditions. Her educational background reflects a strong foundation in both theoretical and applied aspects of medical physics, with a particular emphasis on radiotherapy and imaging technologies. This advanced training has equipped her with the expertise to contribute significantly to research and clinical practice in radiation oncology.
Professional Experience
Dr. Manijeh Beigi, Ph.D., is an esteemed professional in the field of medical physics with extensive experience in radiotherapy and dosimetry. Currently serving as an Assistant Professor at Iran University of Medical Sciences, she specializes in radiotherapy physics, teaching radiation oncology residents, and managing research projects. Her previous roles include Radiotherapy Physicist positions at Imam Hosein Hospital, Haft-e-Tir Hospital, and Pardis Niloo Cancer Center, where she conducted 3D Conformal and IMRT treatment planning, dosimetry, and quality assurance for various linear accelerators. Dr. Beigi also has a background as a Research Assistant in the Quantitative MR Imaging and Spectroscopy Group at Tehran University of Medical Sciences, focusing on MR imaging and spectroscopy for treatment planning. Her professional journey showcases her comprehensive expertise in radiotherapy, from clinical practice to advanced research in radiomics and dosiomics.
Research Interest
Dr. Manijeh Beigi’s research focuses on the intersection of advanced imaging and treatment planning in radiotherapy. Her primary interests include investigating radiotherapy toxicity and enhancing treatment plan quality through radiomics and dosiomics. She is dedicated to quantitatively assessing tumor responses to treatment and applying advanced magnetic resonance (MR) imaging techniques in radiotherapy (RT) planning. Dr. Beigi’s work explores the integration of diffusion tensor imaging (DTI) with traditional MR imaging methods to improve the accuracy of glioma treatment planning. Her research also emphasizes the development of innovative dosimetric approaches to predict and mitigate toxicity in patients undergoing radiotherapy. Through her exploration of these advanced methodologies, Dr. Beigi aims to refine treatment protocols, optimize patient outcomes, and contribute to the ongoing advancement of precision medicine in oncology. Her efforts reflect a commitment to both the theoretical and practical aspects of medical physics.
Research Skills
Dr. Manijeh Beigi demonstrates exceptional research skills in the field of medical physics, particularly within radiotherapy. Her expertise includes advanced radiotherapy techniques, such as 3D conformal and IMRT treatment planning, and extensive dosimetric quality assurance. Dr. Beigi excels in the application of radiomics and dosiomics, employing quantitative assessments and advanced MR imaging to enhance treatment planning and predict patient toxicity. Her Ph.D. research on using diffusion tensor imaging (DTI) for glioma treatment planning showcases her ability to integrate complex imaging modalities with clinical applications. Dr. Beigi’s proficiency extends to managing and supervising research projects, writing successful grant proposals, and leading interdisciplinary teams. Her publication record, featuring high-impact journal articles and conference contributions, reflects her commitment to advancing the field. Overall, Dr. Beigi’s research skills are marked by innovation, technical proficiency, and a strong focus on improving patient outcomes in radiotherapy.
Award and Recognitions
Dr. Manijeh Beigi has achieved significant recognition in her field, reflecting her outstanding contributions to medical physics and radiotherapy. She has been consistently ranked in the top 1% in national entrance exams for both her Ph.D. and postgraduate studies, underscoring her academic excellence. Dr. Beigi’s research on radiotherapy toxicity, radiomics, and advanced MR imaging has garnered attention in prestigious journals and conferences. Her innovative work, particularly in applying diffusion tensor imaging (DTI) for treatment planning, has been highlighted in high-impact publications like Cancer Imaging Journal and Journal of Neurooncology. Her contributions were also showcased at notable conferences, including the AAPM and ESTRO. These accolades demonstrate Dr. Beigi’s commitment to advancing her field and her recognition as a leading expert in radiotherapy and medical physics.
Conclusion
Dr. Manijeh Beigi is a highly qualified candidate for the Research for Best Researcher Award. Her extensive research contributions, innovative approaches in radiotherapy, and leadership in academic and clinical settings highlight her suitability for this recognition. Addressing areas for improvement, such as expanding collaborations and increasing public engagement, could further enhance her already significant impact on the field of medical physics. Her dedication to advancing radiotherapy and her proven track record of excellence make her a strong contender for the award.
Publication Top Notes
- Title: Safe bunker designing for the 18 MV Varian 2100 Clinac: A comparison between Monte Carlo simulation based upon data and new protocol recommendations
Authors: HG Manije Beigi, Fatemeh Afarande
Journal: Reports of Practical Oncology and Radiotherapy
Year: 2016
Volume: 21
Pages: 42-49
Citations: 12
- Title: Heterogeneity analysis of diffusion-weighted MRI for prediction and assessment of microstructural changes early after one cycle of induction chemotherapy in nasopharyngeal carcinoma
Authors: M Beigi, AF Kazerooni, M Safari, M Alamolhoda, MS Moghdam, …
Journal: La Radiologia Medica
Year: 2018
Volume: 123
Pages: 36-43
Citations: 9
- Title: Findings of DTI-p maps in comparison with T2/T2-FLAIR to assess postoperative hyper-signal abnormal regions in patients with glioblastoma
Authors: M Beigi, M Safari, A Ameri, MS Moghadam, A Arbabi, M Tabatabaeefar, …
Journal: Cancer Imaging
Year: 2018
Volume: 18
Article: 1-7
Citations: 5
- Title: Intracellular delivery of anticancer agents using dual responsive nanomicelles synthesized via RAFT polymerization
Authors: M Esmaeili, S Shahbaz, M Kamankesh, M Shahin, FSM Tekie, P Fadavi, …
Journal: European Polymer Journal
Year: 2023
Volume: 198
Article: 112417
Citations: 2
- Title: Shuffle-ResNet: Deep learning for predicting LGG IDH1 mutation from multicenter anatomical MRI sequences
Authors: LA Mojtaba Safari, Manjieh Beiki, Ahmad Ameri, Saeed Hosseini Toudeshki, …
Journal: Biomedical Physics & Engineering Express
Year: 2022
Volume: 8 (6)
Citations: 2
- Title: Malignancy probability map as a novel imaging biomarker to predict malignancy distribution: Employing MRS in GBM patients
Authors: M Beigi, K Ghasemi, P Mirzaghavami, M Khanmohammadi, …
Journal: Journal of Neuro-Oncology
Year: 2018
Volume: 138
Pages: 619-625
Citations: 2
- Title: Long-term study of vocal dysfunction and quality of life in patients with non-laryngeal head and neck cancers post chemo-radiation therapy: Results of prospective analysis
Authors: ZM P Fadavi, S Bagherzadeh, F Torabinezhad, F Goli-Ahmadabad, M Beiki, S …
Journal: International Journal of Radiation Research
Year: 2023
Volume: 21 (2)
Pages: 227-232
Citations: 1
- Title: Assessing parotid gland function through diffusion weighted MRI during and post-radiotherapy in head and neck cancer patients
Authors: A Ameri, SH Yeganeh, S Nasiri, Z Azizmohammadi, M Ansari, A Sourati, …
Journal: Journal of Radiation Research and Applied Sciences
Year: 2024
Volume: 17 (4)
Article: 101094
- Title: Multicenter MRI Radiomics Features to Predict IDH1 Gene Mutation Status of Low-Grade Glioma
Authors: M Safari, A Ameri, R Hamidi, A Fatemi, L Archambault, M Beigi
Year: 2024
- Title: 2058: Prospective Correlation Research on Shoulder Radiation Dose and Impairment in Breast Cancer Patients
Authors: P Fadavi, S Soltani, M Beigi, Z Bagherpour, D Davoodi, M Jajroudi, …
Journal: Radiotherapy and Oncology
Year: 2024
Volume: 194
Pages: S605-S607