<?xml version="1.0" encoding="utf-8"?>
			<journal>
			<title>Iranian Journal of Medical Physics</title>
			<title_fa></title_fa>
			<short_title>Iran J Med Phys</short_title>
			<subject>Medical Sciences</subject>
			<web_url>https://ijmp.mums.ac.ir/</web_url>
			<journal_hbi_system_id>0</journal_hbi_system_id>
			<journal_hbi_system_user></journal_hbi_system_user>
			<journal_id_issn></journal_id_issn>
			<journal_id_issn_online>2345-3672</journal_id_issn_online>
			<journal_id_pii></journal_id_pii>
			<journal_id_doi></journal_id_doi>
			<journal_id_iranmedex></journal_id_iranmedex>
			<journal_id_magiran></journal_id_magiran>
			<journal_id_sid></journal_id_sid>
			<journal_id_nlai></journal_id_nlai>
			<journal_id_science></journal_id_science>
			<language>en</language>
			<pubdate>
				<type>jalali</type>
				<year>0</year>
				<month>0</month>
				<day>1</day>
			</pubdate>
			<pubdate>
				<type>gregorian</type>
				<year>2026</year>
				<month>2</month>
				<day>1</day>
			</pubdate>
			<volume>23</volume>
			<number>1</number>
			<publish_type>online</publish_type>
			<publish_edition>1</publish_edition>
			<article_type>fulltext</article_type>
			<articleset><article>
				<language>en</language>
				<article_id_issn></article_id_issn>
				<article_id_issn_online></article_id_issn_online>
				<article_id_pubmed></article_id_pubmed>
				<article_id_pii></article_id_pii>
				<article_id_doi></article_id_doi>
				<article_id_iranmedex></article_id_iranmedex>
				<article_id_magiran></article_id_magiran>
				<article_id_sid></article_id_sid>
				<title_fa></title_fa>
				<title>Tumor and Critical Organ Dose Assessment in Parotid Gland Radiotherapy: Comparison of Calculated and Measured Dose Using Different Techniques</title>
				<subject_fa></subject_fa>
				<subject></subject>
				<content_type_fa></content_type_fa>
				<content_type>Original Paper</content_type>
				<abstract_fa><![CDATA[]]></abstract_fa>
				<abstract><![CDATA[Introduction: Parotid gland tumors account for approximately 3% of head and neck malignancies. Surgery is the primary treatment modality, while postoperative radiotherapy is recommended for high-grade tumors to reduce local recurrence. Several radiotherapy techniques have been used for postoperative parotid irradiation, each with different dosimetric characteristics. Among the most common approaches are angled wedged photon beams and ipsilateral mixed photon–electron beams. This study aimed to compare commonly used parotid radiotherapy techniques dosimetrically and propose clinical optimization strategies.Material and Methods: A head-and-neck anthropomorphic Rando phantom was scanned using computed tomography with 5-mm slice thickness. Imaging data were transferred to the Isogray treatment planning system (TPS). Target volume and organs at risk (OARs) were contoured, and thermoluminescent dosimeters (TLDs) were used for dose measurements. Three radiotherapy techniques were evaluated regarding dose homogeneity, target coverage, organ sparing, and agreement between calculated and measured doses.Results: Wedged-pair photon techniques with and without multileaf collimator (MLC) showed better dose homogeneity within the planning target volume (PTV) than the mixed photon–electron technique (ΔD₅%–D₉₅%: 2.31 and 2.28 Gy vs 6.14 Gy). The MLC-based wedged-pair technique provided superior sparing of tissues beyond the target volume, while the mixed beam technique resulted in the lowest oral cavity dose (1.9 Gy). All techniques achieved at least 95% PTV coverage. Measured and calculated doses showed acceptable agreement, although some discrepancies were observed in heterogeneous regions such as the mandible.Conclusion: No single radiotherapy technique was optimal for all dosimetric objectives. Combining techniques may improve normal tissue sparing while maintaining adequate and homogeneous tumor dose coverage.]]></abstract>
				<keyword_fa></keyword_fa>
				<keyword>Parotid tumor radiotherapy, Tumor Dose, TLD, Rando phantom</keyword>
				<start_page>1</start_page>
				<end_page>8</end_page>
				<web_url>https://ijmp.mums.ac.ir/article_27730.html</web_url>
			<author_list><author>
				<first_name>Mohammad Taghi</first_name>
				<middle_name></middle_name>
				<last_name>Bahreyni Toossi</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>bahreynimt@mums.ac.ir</email>
				<code>121866</code>
				<coreauthor>No</coreauthor>
				<affiliation>Medical Physics Research Centre, Mashhad University of Medical Sciences, Mashhad, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Hamid</first_name>
				<middle_name></middle_name>
				<last_name>Gholamhosseinian</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>gholamhosseinianh@mums.ac.ir</email>
				<code>121867</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Medical Physics, School of Medicine, University of Medical Sciences, Mashhad, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Kazem</first_name>
				<middle_name></middle_name>
				<last_name>Anvari</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>anvarik@mums.ac.ir</email>
				<code>121868</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Radiotherapy Oncology, Omid Hospital, Cancer Research Center, School of Medicine Mashhad University of Medical Sciences, Mashhad, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Bahar</first_name>
				<middle_name></middle_name>
				<last_name>Zargari</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>bhrzargari@gmail.com</email>
				<code>121869</code>
				<coreauthor>No</coreauthor>
				<affiliation>Student Research Committee, Babol University of Medical Sciences, Babol, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Atefeh</first_name>
				<middle_name></middle_name>
				<last_name>Vejdani Noghreiyan</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>vejdaniatefeh9@gmail.com</email>
				<code>121870</code>
				<coreauthor>Yes</coreauthor>
				<affiliation>Cancer Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, I.R.Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author></author_list>
				</article><article>
				<language>en</language>
				<article_id_issn></article_id_issn>
				<article_id_issn_online></article_id_issn_online>
				<article_id_pubmed></article_id_pubmed>
				<article_id_pii></article_id_pii>
				<article_id_doi></article_id_doi>
				<article_id_iranmedex></article_id_iranmedex>
				<article_id_magiran></article_id_magiran>
				<article_id_sid></article_id_sid>
				<title_fa></title_fa>
				<title>Evaluation of the Reproducibility and Stability of Radiomic Features Derived from Ovarian MRI Phantom Studies</title>
				<subject_fa></subject_fa>
				<subject></subject>
				<content_type_fa></content_type_fa>
				<content_type>Original Paper</content_type>
				<abstract_fa><![CDATA[]]></abstract_fa>
				<abstract><![CDATA[Introduction: The reproducibility of radiomic features could be a serious obstacle that limits further applications. This study aims to assess the reproducibility of MRI radiomic features by using a biological ovarian phantom and different acquisition parameters.Material and Methods: Three 1.5 Tesla MRI scanners from different manufacturers as the first source, and also alterations in imaging parameters, including slice thickness, space between slices, image weight, and fat saturation sequence, as the second source of feature variations, were evaluated. In addition, to evaluate the effect of image normalization on feature reproducibility, all the images were normalized. Ninety-three radiomic features from 6 feature classes, including First-Order, GLCM, GLDM, GLRLM, GLSZM, and NGTDM, were calculated by the 3D-Slicer. Reproducibility of features was measured by COV, ICC, and CCC.Results: The significant impact of scanner and image weight variation on feature reproducibility is obvious when about 90% and 64% of features showed 20 %&lt; COV, respectively. On the other hand, slice thickness was the least affected source, where 58.8% of features showed excellent reproducibility (COV ≤ 5%). GLRLM showed the best reproducibility against scanner variation (ICC=0.6996 and CCC=0.3503). Also, image normalization has positively affected feature reproducibility in the scanner variation scheme. Additionally, good (5 %&lt; COV≤10%) and intermediate (10 %&lt; COV≤20%) COV groups have increased by normalization.Conclusion: MRI radiomic features are highly dependent on image acquisition scanner types and imaging parameters, and utilizing biological phantoms can lead to reliable outcomes that make the way of clinical translation of these results easier. Future works should be the priority in the robustness evaluation of radiomic features, and the inconsistent behavior of the image normalization filter needs higher attention.]]></abstract>
				<keyword_fa></keyword_fa>
				<keyword>Radiomics, Reproducibility, MRI, Radiomics feature</keyword>
				<start_page>9</start_page>
				<end_page>17</end_page>
				<web_url>https://ijmp.mums.ac.ir/article_27678.html</web_url>
			<author_list><author>
				<first_name>Soroush</first_name>
				<middle_name></middle_name>
				<last_name>Hoseini</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>soroushh474@gmail.com</email>
				<code>121565</code>
				<coreauthor>No</coreauthor>
				<affiliation>Medical Physics Department, School of Medicine, Iran University of Medical Sciences, Tehran, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Atefeh</first_name>
				<middle_name></middle_name>
				<last_name>Tahmasebzadeh</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>tahmasebzade@gmail.com</email>
				<code>121566</code>
				<coreauthor>No</coreauthor>
				<affiliation>Radiation Science Department, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Reza</first_name>
				<middle_name></middle_name>
				<last_name>Reiazi</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>rezariazi87@yahoo.com</email>
				<code>121567</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Radiation Physics, Unit 1420, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Mahdi</first_name>
				<middle_name></middle_name>
				<last_name>Sadeghi</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>sadeghi.m@iums.ac.ir</email>
				<code>121568</code>
				<coreauthor>Yes</coreauthor>
				<affiliation>Medical Physics Department, School of Medicine, Iran university of Medical Sciences,</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author></author_list>
				</article><article>
				<language>en</language>
				<article_id_issn></article_id_issn>
				<article_id_issn_online></article_id_issn_online>
				<article_id_pubmed></article_id_pubmed>
				<article_id_pii></article_id_pii>
				<article_id_doi></article_id_doi>
				<article_id_iranmedex></article_id_iranmedex>
				<article_id_magiran></article_id_magiran>
				<article_id_sid></article_id_sid>
				<title_fa></title_fa>
				<title>Assessment of Dose Distribution and Organ-at-Risk Exposure in VMAT Versus 3D-CRT for Right Breast Cancer</title>
				<subject_fa></subject_fa>
				<subject></subject>
				<content_type_fa></content_type_fa>
				<content_type>Original Paper</content_type>
				<abstract_fa><![CDATA[]]></abstract_fa>
				<abstract><![CDATA[Introduction: Breast cancer is one of the most common malignant tumors worldwide, and radiotherapy plays a crucial role in its treatment. This study compares Volumetric Modulated Arc Therapy (VMAT) and Three-Dimensional Conformal Radiotherapy (3D-CRT) for right-sided breast cancer treatment, focusing on dosimetric parameters.Material and Methods: This retrospective study included 20 patients with right breast cancer treated at the International Hospital of Khouribga (mean age 52.4 ± 4.9 years; mean body mass index (BMI) 27.2 ± 1.1 kg/m²). For each patient, two treatment plans were generated: VMAT with dual coplanar arc configuration and 3D-CRT with opposed tangential beams. Analyzed parameters included target volume coverage and doses to organs at risk. Results: VMAT provided superior target coverage and dose conformity. The mean homogeneity index (HI) was lower with VMAT (0.08 ± 0.02) than 3D-CRT (0.14 ± 0.02), and the conformity index (CI) was higher (0.99 ± 0.01 vs. 0.96 ± 0.02). Mean heart dose was 4.9 ± 0.7 Gray (Gy) with VMAT versus 1.0 ± 0.2 Gy with 3D-CRT; ipsilateral lung mean dose was 13.7 ± 1.5 Gy versus 11.9 ± 0.7 Gy, respectively. Contralateral organs received higher low-dose exposure with VMAT. VMAT achieved improved planning target volume (PTV) coverage and conformity, whereas 3D-CRT provided better contralateral organ sparing. Conclusion: This study demonstrates VMAT&#039;s dosimetric advantages over 3D-CRT for breast cancer treatment, providing institutional validation for technique selection in resource-limited settings.]]></abstract>
				<keyword_fa></keyword_fa>
				<keyword>Breast Neoplasms Radiotherapy, Intensity-Modulated Radiotherapy Conformal Radiotherapy Dosage Planning Computer-Assisted</keyword>
				<start_page>18</start_page>
				<end_page>25</end_page>
				<web_url>https://ijmp.mums.ac.ir/article_27731.html</web_url>
			<author_list><author>
				<first_name>Mohamed</first_name>
				<middle_name></middle_name>
				<last_name>Khairat Allah</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>mohamed.khairatallah.doc@uhp.ac.ma</email>
				<code>121871</code>
				<coreauthor>Yes</coreauthor>
				<affiliation>Hassan First University of Settat, High Institute of Health Sciences, Laboratory of Sciences and Health Technologies, Settat, Morocco</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Atmane</first_name>
				<middle_name></middle_name>
				<last_name>Rane</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>r.atmane90@gmail.com</email>
				<code>121872</code>
				<coreauthor>No</coreauthor>
				<affiliation>Sciences, Innovation and Sustainable Development - Multidisciplinary Faculty of Khouribga</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Abdellah</first_name>
				<middle_name></middle_name>
				<last_name>Halimi</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>halimiabdellah@yahoo.fr</email>
				<code>121873</code>
				<coreauthor>No</coreauthor>
				<affiliation>Hassan First University of Settat, High Institute of Health Sciences, Laboratory of Sciences and Health Technologies, Settat, Morocco</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Youssef</first_name>
				<middle_name></middle_name>
				<last_name>Bouzekraoui</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>youssef88fsr@gmail.com</email>
				<code>121874</code>
				<coreauthor>No</coreauthor>
				<affiliation>Hassan First University of Settat, High Institute of Health Sciences, Laboratory of Sciences and Health Technologies, Settat, Morocco</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Hicham</first_name>
				<middle_name></middle_name>
				<last_name>Asmi</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>hichamasmi@gmail.com</email>
				<code>121875</code>
				<coreauthor>No</coreauthor>
				<affiliation>Laboratoire de Physique des Hautes Énergies,. Modélisation et Simulation</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Khalid</first_name>
				<middle_name></middle_name>
				<last_name>Elouardy</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>khalidfsr@gmail.com</email>
				<code>121876</code>
				<coreauthor>No</coreauthor>
				<affiliation>Radiophysician</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author></author_list>
				</article><article>
				<language>en</language>
				<article_id_issn></article_id_issn>
				<article_id_issn_online></article_id_issn_online>
				<article_id_pubmed></article_id_pubmed>
				<article_id_pii></article_id_pii>
				<article_id_doi></article_id_doi>
				<article_id_iranmedex></article_id_iranmedex>
				<article_id_magiran></article_id_magiran>
				<article_id_sid></article_id_sid>
				<title_fa></title_fa>
				<title>DL-Dose Framework: Introducing a Fast Dose Calculation Engine for Radiotherapy-Based Deep Learning</title>
				<subject_fa></subject_fa>
				<subject></subject>
				<content_type_fa></content_type_fa>
				<content_type>Original Paper</content_type>
				<abstract_fa><![CDATA[]]></abstract_fa>
				<abstract><![CDATA[Introduction: This study aimed to develop a dose prediction framework based on deep learning that utilizes water dose distribution and the characteristics of heterogeneous phantoms as inputs.Material and Methods: A dataset of two hundred heterogeneous phantoms with identical geometry and variable bone and lung layer thicknesses was generated using the DOSXYZnrc Monte Carlo (MC) code. The thickness of each inhomogeneity was randomly assigned between 1 and 5 cm at different positions along the z-axis of the phantom. A deep learning–based dose prediction framework was then developed to estimate three-dimensional dose distributions. The model used five input channels, including water dose distribution, mass density, CT number, voxel distance from the radiation field center, and a binary radiation field mask. The network&#039;s output was the predicted dose distribution for each heterogeneous phantom.Results: The accuracy of the predicted results by the DL-Dose Framework was evaluated against those obtained through the Monte Carlo method, using the delta index in heterogeneous phantoms. In the water medium, before encountering heterogeneities, 100% of the dose distribution for voxels with deviations of less than 1% from the maximum dose, consistent with the results measured by the MC method. Furthermore, 94.2% of the dose distribution for voxels in lung heterogeneity areas and 98.1% for voxels in bone heterogeneity regions were comparable to the MC method results, with deviations of less than 1% from the maximum dose.Conclusion: The developed DL-Dose Framework can accurately predict dose distribution in heterogeneous phantoms.]]></abstract>
				<keyword_fa></keyword_fa>
				<keyword>dose prediction, Deep learning, Heterogeneity, Radiotherapy, Monte Carlo Simulation</keyword>
				<start_page>26</start_page>
				<end_page>37</end_page>
				<web_url>https://ijmp.mums.ac.ir/article_26802.html</web_url>
			<author_list><author>
				<first_name>Naser</first_name>
				<middle_name></middle_name>
				<last_name>Mahdavi</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>naser.mahdavi@aut.ac.ir</email>
				<code>117641</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Physics and Energy Engineering, Amir Kabir University of Technology, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Mojtaba</first_name>
				<middle_name></middle_name>
				<last_name>Shamsaei Zafarghandi</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>pysham@aut.ac.ir</email>
				<code>117642</code>
				<coreauthor>Yes</coreauthor>
				<affiliation>Department of Physics and Energy Engineering, Amir Kabir University of Technology, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Saeed</first_name>
				<middle_name></middle_name>
				<last_name>Setayeshi</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>setayeshi@aut.ac.ir</email>
				<code>117643</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Physics and Energy Engineering, Amir Kabir University of Technology, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Hassan Ali</first_name>
				<middle_name></middle_name>
				<last_name>Nedaie</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>nedaieha@tums.ac.ir</email>
				<code>117644</code>
				<coreauthor>No</coreauthor>
				<affiliation>Radiation Oncology Research Centre, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author></author_list>
				</article><article>
				<language>en</language>
				<article_id_issn></article_id_issn>
				<article_id_issn_online></article_id_issn_online>
				<article_id_pubmed></article_id_pubmed>
				<article_id_pii></article_id_pii>
				<article_id_doi></article_id_doi>
				<article_id_iranmedex></article_id_iranmedex>
				<article_id_magiran></article_id_magiran>
				<article_id_sid></article_id_sid>
				<title_fa></title_fa>
				<title>EPID-Based Setup Error Correction in Head and Neck Radiotherapy</title>
				<subject_fa></subject_fa>
				<subject></subject>
				<content_type_fa></content_type_fa>
				<content_type>Original Paper</content_type>
				<abstract_fa><![CDATA[]]></abstract_fa>
				<abstract><![CDATA[Introduction: This study introduces and evaluates a novel optimized averaging method for Electronic Portal Imaging Device (EPID)-based setup corrections, comparing it with conventional approaches.
Material and Methods: A total of 28 head and neck cancer patients undergoing conformal radiotherapy were enrolled prospectively. Three EPID-based setup correction methods were compared: no averaging (Method 1), standard three-fraction averaging (Method 2), and a new optimized averaging method (Method 3). Setup errors were quantified in three dimensions, and Clinical Target Volume to Planning Target Volume (CTV-PTV) margins were calculated. Primary outcomes included systematic and random errors, CTV-PTV margin reduction, and the proportion of patients benefiting from each method.
Results: Both averaging methods significantly reduced systematic and random errors compared to no averaging (p&lt;0.05). Mean setup errors decreased to &lt;1 mm in all directions for Methods 2 and 3. CTV-PTV margins were reduced from 5.7-7.9 mm to 3.6-3.7 mm, a reduction of 35-50%. The optimized method (Method 3) reduced mean errors in 64-68% of patients across all directions, compared to 68-71% for Method 2 relative to Method 1. Notably, Method 3 reduced the incidence of gross errors by 67% compared to no averaging. 
Conclusion: The novel optimized averaging method for EPID-based setup corrections significantly improves setup accuracy in head and neck radiotherapy, outperforming conventional techniques. This approach substantially reduces CTV-PTV margins and the occurrence of gross errors, potentially allowing for more conformal dose distributions and reduced toxicity. These findings have important implications for improving treatment precision and outcomes in head and neck cancer radiotherapy.]]></abstract>
				<keyword_fa></keyword_fa>
				<keyword>EPID, Head and neck radiotherapy, Setup errors, systematic errors, random errors</keyword>
				<start_page>38</start_page>
				<end_page>45</end_page>
				<web_url>https://ijmp.mums.ac.ir/article_27734.html</web_url>
			<author_list><author>
				<first_name>Mohamad</first_name>
				<middle_name></middle_name>
				<last_name>Pursamimi</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>mohamadpursamimi65@gmail.com</email>
				<code>121884</code>
				<coreauthor>No</coreauthor>
				<affiliation>Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Mahdi</first_name>
				<middle_name></middle_name>
				<last_name>Ghorbani</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>mhdghorbani@gmail.com</email>
				<code>121883</code>
				<coreauthor>Yes</coreauthor>
				<affiliation>Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Mehdi</first_name>
				<middle_name></middle_name>
				<last_name>Khosravi</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>mhdikhosravi08@yahoo.com</email>
				<code>121887</code>
				<coreauthor>No</coreauthor>
				<affiliation>Radiotherapy Center, Shahid Beheshti Hospital, Qom, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Seyed Mohammad</first_name>
				<middle_name></middle_name>
				<last_name>Hosseini</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>hosseinimohammad57@gmail.com</email>
				<code>121885</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Medical Physics and Medical Engineering, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Ahmad</first_name>
				<middle_name></middle_name>
				<last_name>Shakeri</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>shakeri.ahmad.1368@gmail.com</email>
				<code>121888</code>
				<coreauthor>No</coreauthor>
				<affiliation>Velenjak, Arabi Street</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Sibusiso</first_name>
				<middle_name></middle_name>
				<last_name>Mdletshe</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>sibusiso.mdletshe@auckland.ac.nz</email>
				<code>121886</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author></author_list>
				</article><article>
				<language>en</language>
				<article_id_issn></article_id_issn>
				<article_id_issn_online></article_id_issn_online>
				<article_id_pubmed></article_id_pubmed>
				<article_id_pii></article_id_pii>
				<article_id_doi></article_id_doi>
				<article_id_iranmedex></article_id_iranmedex>
				<article_id_magiran></article_id_magiran>
				<article_id_sid></article_id_sid>
				<title_fa></title_fa>
				<title>Design and Fabrication of Optical Bandpass Filters for Safe 222 nm UVC Light Generation in Medical Disinfection Applications</title>
				<subject_fa></subject_fa>
				<subject></subject>
				<content_type_fa></content_type_fa>
				<content_type>Original Paper</content_type>
				<abstract_fa><![CDATA[]]></abstract_fa>
				<abstract><![CDATA[Introduction: Recent global pandemics have highlighted the urgent need for effective and safe sterilization technologies. Ultraviolet-C (UVC) radiation at a wavelength of 222 nm has attracted considerable attention due to its strong germicidal efficacy combined with its limited penetration into human tissues. The generation of safe 222 nm UVC light requires optical bandpass filters that selectively transmit this wavelength while suppressing longer, potentially harmful emissions.
Material and Methods: In this study, metal–dielectric optical bandpass filters optimized for 222 nm UVC applications were designed and fabricated. The design process involved a review of previous studies, material selection, and layer thickness optimization using numerical modeling based on the transfer matrix method. Aluminum was employed as the metallic layer and magnesium fluoride as the dielectric material. The filters were fabricated using physical vapor deposition and characterized by UV–Vis spectroscopy. The effects of deposition errors, post-deposition thermal annealing, and laser damage threshold were also investigated.
Results: Several optimized designs for 222 nm optical bandpass filters were obtained, offering flexibility based on material availability and desired spectral characteristics. Experimental results demonstrated peak transmission wavelengths close to 222 nm with acceptable bandwidths for safe UVC applications. Thickness variations in dielectric layers were identified as the dominant factor influencing spectral shifts, while post-deposition thermal annealing was found to degrade filter performance. The laser damage threshold of the fabricated filters was measured to be approximately 1.3 J/cm².
Conclusion: The developed metal–dielectric bandpass filters demonstrate suitable optical performance for generating safe 222 nm UVC radiation. These findings support the development of reliable far-UVC light sources for medical disinfection applications, contributing to safer sterilization technologies in healthcare and public environments.]]></abstract>
				<keyword_fa></keyword_fa>
				<keyword>Medical Disinfection UVC Light Bandpass Filters 222 Nm Wavelength Metal, Dielectric Filters Al/Mgf₂ Far, UVC Optical Thin Films</keyword>
				<start_page>46</start_page>
				<end_page>58</end_page>
				<web_url>https://ijmp.mums.ac.ir/article_27736.html</web_url>
			<author_list><author>
				<first_name>Mohammad Reza</first_name>
				<middle_name></middle_name>
				<last_name>Rashidian Vaziri</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>rezaeerv@gmail.com</email>
				<code>121897</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Physics, Faculty of Sciences, Ferdowsi University, Mashhad, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Ali</first_name>
				<middle_name></middle_name>
				<last_name>Eskandari</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>alieskandari98.ae@gmail.com</email>
				<code>121898</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Physics, Amirkabir University of Technology, Tehran, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Kimia</first_name>
				<middle_name></middle_name>
				<last_name>Ghasemi Arzanani</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>ghasemikim75@gmail.com</email>
				<code>121899</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Physics, Amirkabir University of Technology, Tehran, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Parviz</first_name>
				<middle_name></middle_name>
				<last_name>Parvin</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>parvizparvin1980@gmail.com</email>
				<code>121900</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Physics, Amirkabir University of Technology, Tehran, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Samaneh</first_name>
				<middle_name></middle_name>
				<last_name>Sharif</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>sharif_s@alumnus.tums.ac.ir</email>
				<code>121901</code>
				<coreauthor>Yes</coreauthor>
				<affiliation>Department of Medical Genetics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author></author_list>
				</article><article>
				<language>en</language>
				<article_id_issn></article_id_issn>
				<article_id_issn_online></article_id_issn_online>
				<article_id_pubmed></article_id_pubmed>
				<article_id_pii></article_id_pii>
				<article_id_doi></article_id_doi>
				<article_id_iranmedex></article_id_iranmedex>
				<article_id_magiran></article_id_magiran>
				<article_id_sid></article_id_sid>
				<title_fa></title_fa>
				<title>Comparison of Setup Errors in Prostate Cancer Radiotherapy: MV EPID vs. kV CBCT</title>
				<subject_fa></subject_fa>
				<subject></subject>
				<content_type_fa></content_type_fa>
				<content_type>Original Paper</content_type>
				<abstract_fa><![CDATA[]]></abstract_fa>
				<abstract><![CDATA[Introduction: Accurate patient setup is essential for precise dose delivery in prostate radiotherapy. This study quantified random and systematic setup errors using MV EPID and kV CBCT verification techniques to identify the modality associated with minimal setup errors and to determine appropriate planning target volume (PTV) margins.Material and Methods: Setup errors along the X (left–right, LR), Y (superior–inferior, SI), and Z (anterior–posterior, AP) axes were retrospectively extracted from archived electronic records for 100 prostate cancer patients treated between 2015 and 2023. Fifty (50) patients had positions verified using MV EPID and 50 using kV CBCT techniques. Setup errors were compared using an independent samples t-test with a significance threshold of p &lt; 0.05. PTV margins were calculated using Van Herk&#039;s formula.Results: For kV CBCT, random errors were 0.8 (LR), 3.0 (SI), and 1.5 mm (AP), and systematic errors were 0.1, 0.4, and 0.2 mm, respectively. For MV EPID, corresponding random errors were 0.5 (LR), 14.1 (SI), and 8.6 mm (AP), and systematic errors were 0.1, 2.0, and 1.2 mm. No statistically significant difference was found along the LR axis (p = 0.0630), but significant differences were observed along the SI and AP axes (p = 0.0022 and p = 0.0001). Calculated PTV margins for kV CBCT were 0.9 (LR), 3.2 (SI), and 1.6 mm (AP), whereas for MV EPID, these were 0.5 (LR), 14.8 (SI), and 9.0 mm (AP). kV CBCT demonstrated superior setup accuracy with reduced margins.Conclusion: kV CBCT demonstrated superior setup accuracy, enabling tighter PTV margins and reduced normal tissue exposure. Its use is recommended for hypofractionated prostate cancer radiotherapy.]]></abstract>
				<keyword_fa></keyword_fa>
				<keyword>Prostatic Neoplasms Radiotherapy Image, Guided Cone, Beam Computed Tomography Electronic Portal Imaging Patient Positioning</keyword>
				<start_page>59</start_page>
				<end_page>68</end_page>
				<web_url>https://ijmp.mums.ac.ir/article_27737.html</web_url>
			<author_list><author>
				<first_name>Edward</first_name>
				<middle_name>Mokhure</middle_name>
				<last_name>Setlhapelo</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>mokhure@yahoo.com</email>
				<code>121902</code>
				<coreauthor>Yes</coreauthor>
				<affiliation>Medical Physics, Medicine, Sefako Makgatho Health Sciences University, Pretoria, South Africa.
Department of Medical Physics, Charlotte Maxeke Johannesburg Academic Hospital/WITS, South Africa.</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Mpumelelo</first_name>
				<middle_name></middle_name>
				<last_name>Nyathi</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>mpumelelo.nyathi@smu.ac.za</email>
				<code>121903</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Medical Physics
Sefako Makgatho Health Sciences University
South Africa</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author></author_list>
				</article><article>
				<language>en</language>
				<article_id_issn></article_id_issn>
				<article_id_issn_online></article_id_issn_online>
				<article_id_pubmed></article_id_pubmed>
				<article_id_pii></article_id_pii>
				<article_id_doi></article_id_doi>
				<article_id_iranmedex></article_id_iranmedex>
				<article_id_magiran></article_id_magiran>
				<article_id_sid></article_id_sid>
				<title_fa></title_fa>
				<title>Evaluation of Dose Distribution Homogeneity and Accuracy for a Cs-137 Source Using Thermoluminescent Dosimeters (CaSO₄:Dy and LiF:Mg,Ti)</title>
				<subject_fa></subject_fa>
				<subject></subject>
				<content_type_fa></content_type_fa>
				<content_type>Original Paper</content_type>
				<abstract_fa><![CDATA[]]></abstract_fa>
				<abstract><![CDATA[Introduction: Cesium-137 (Cs-137) is a widely used source of ionizing radiation across various fields.Thermoluminescent dosimeters (TLDs), due to their sensitivity and reliability, are frequently employed to measure radiation dose in medical, industrial, and research applications. This study specifically aims to assess the homogeneity and accuracy of CaSO₄:Dy and LiF:Mg,Ti TLDs to support calibration and radiation safety practices.
Material and Methods: The experiment utilized the G-10-360-15CS Gamma Beam Irradiator as the radiation source. The CaSO₄:Dy and LiF:Mg,Ti TLDs were mounted on a 30 × 30 × 5 cm Polymethyl Methacrylate (PMMA) phantom. The testing procedure included TLD annealing, homogeneity testing, and dose accuracy assessment. The TLDs were calibrated using a Cs-137 reference source by comparing the actual delivered dose to the TLD readings. Testing was conducted at doses of (0.1 mSv and 0.5 mSv) and distances (100, 150, and 200 cm).
Results: The homogeneity test showed a uniform dose distribution (CV ≤ 15%) at distances of 150 cm and 200 cm. The accuracy test indicated a performance bias of –9.21% to –2.50% for TLD CaSO₄:Dy, with calibration factors ranging from 1.026 to 1.101, and a performance bias of 2.46% to –0.28% for TLD LiF:Mg,Ti, with calibration factors of 0.976 to 1.003. All values meet the required tolerance limits. Therefore, TLD CaSO₄:Dy and TLD LiF:Mg,Ti are suitable for radiation dose measurements.
Conclusion: Homogeneity and accuracy testing of TLD CaSO₄:Dy and LiF:Mg,Ti shows that dose distribution becomes more homogeneous as the distance increases. The best measurement accuracy is achieved at shorter distances.]]></abstract>
				<keyword_fa></keyword_fa>
				<keyword>Cesium Radioisotopes, Radiation Dosage, Thermoluminescent Dosimetry</keyword>
				<start_page>69</start_page>
				<end_page>75</end_page>
				<web_url>https://ijmp.mums.ac.ir/article_27738.html</web_url>
			<author_list><author>
				<first_name>Yuni</first_name>
				<middle_name></middle_name>
				<last_name>Warty</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>yuniwarty@gmail.com</email>
				<code>121904</code>
				<coreauthor>Yes</coreauthor>
				<affiliation>Department of Physics, Faculty of Mathematics and Natural Sciences, State University of Medan, Medan, Indonesia</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Dewi</first_name>
				<middle_name></middle_name>
				<last_name>Wulandari</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>wulandaridewi@unimed.ac.id</email>
				<code>121905</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Physics, Faculty of Mathematics and Natural Sciences, State University of Medan, Medan, Indonesia</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Soraya</first_name>
				<middle_name></middle_name>
				<last_name>Soraya</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>sorayaya@mhs.unimed.ac.id</email>
				<code>121906</code>
				<coreauthor>No</coreauthor>
				<affiliation>Department of Physics, Faculty of Mathematics and Natural Sciences, State University of Medan, Medan, Indonesia</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Abdul</first_name>
				<middle_name></middle_name>
				<last_name>Rahim</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>abdul.758@gmail.com</email>
				<code>121907</code>
				<coreauthor>No</coreauthor>
				<affiliation>Radiation Measuring Instruments Laboratory, Center for Safety of Health Devices and Facilities (BPAFK) Medan, Ministry of Health, Indonesia</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author><author>
				<first_name>Abdon</first_name>
				<middle_name></middle_name>
				<last_name>Manalu</last_name>
				<suffix></suffix>
				<first_name_fa></first_name_fa>
				<middle_name_fa></middle_name_fa>
				<last_name_fa></last_name_fa>
				<suffix_fa></suffix_fa>
				<email>abdonrumaijuk@gmail.com</email>
				<code>121908</code>
				<coreauthor>No</coreauthor>
				<affiliation>Radiation Measuring Instruments Laboratory, Center for Safety of Health Devices and Facilities (BPAFK) Medan, Ministry of Health, Indonesia</affiliation>
				<affiliation_fa></affiliation_fa>
				 </author></author_list>
				</article>
			</articleset>
			</journal>