Physica Medica-European Journal of Medical Physics最新文献

{"title":"IL.3 DUAL-MODALITY HIGH-FLOW IMAGING SCHEME FOR CELL DISCRIMINATION COMBINING NEUROMORPHIC 2D CAMERA AND NIR TIME-STRETCH IMAGER","authors":"C. Mesaritakis, I. Tsilikas, S. Deligiannidis, G.A. Karydis, D. Syvridis, A. Bogris","doi":"10.1016/j.ejmp.2024.104520","DOIUrl":"10.1016/j.ejmp.2024.104520","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"127 ","pages":"Article 104520"},"PeriodicalIF":3.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IL.4 ARTIFICIAL INTELLIGENCE IN RADIONUCLIDE THERAPY APPLICATIONS","authors":"P. Papadimitroulas","doi":"10.1016/j.ejmp.2024.104521","DOIUrl":"10.1016/j.ejmp.2024.104521","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"127 ","pages":"Article 104521"},"PeriodicalIF":3.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dosimetric study of bevel factors in IOERT with mobile linacs: Towards a unified code of practice","authors":"Rafael Ayala ,&nbsp;Rocío García ,&nbsp;Gema Ruiz ,&nbsp;María Jesús García ,&nbsp;Álvaro Soza ,&nbsp;Susana Gómez ,&nbsp;José Manuel Udías ,&nbsp;Paula Ibáñez","doi":"10.1016/j.ejmp.2024.104836","DOIUrl":"10.1016/j.ejmp.2024.104836","url":null,"abstract":"<div><h3>Background:</h3><div>Dosimetry in intraoperative electron radiotherapy (IOERT) poses distinct challenges, especially with inclined applicators deviating from international protocols. Ion recombination in ionization chambers, electron beam degradation due to scattering in cylindrical applicators, coupled with a lack of a well-defined beam quality surrogate, complicate output factor determination with ionization chambers. Synthetic diamond-based detectors, offer potential solutions; however, their suitability requires further exploration.</div></div><div><h3>Purpose:</h3><div>This study addresses output factor determination for beveled applicators. Objectives include assessing the suitability of PTW microDiamond detectors and determining correction factors for ionization chamber measurements based on energy variations at the depth of maximum dose (<span><math><msub><mrow><mi>z</mi></mrow><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></math></span>) for beveled applicators. Experimental data are compared against results obtained from Monte Carlo simulations.</div></div><div><h3>Methods:</h3><div>We conducted measurements using both PTW microDiamond and IBA CC01 detectors. In addition to benchmarking bevel factors with penEasy, we employed Monte Carlo simulations to determine angular response correction factors for microDiamond detectors and to evaluate energy variations at <span><math><msub><mrow><mi>z</mi></mrow><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></math></span> for beveled applicators.</div></div><div><h3>Results:</h3><div>The findings indicate that angular response correction factors are unnecessary for microDiamond detectors with beveled applicators. However, variations in mean energy at <span><math><msub><mrow><mi>z</mi></mrow><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></math></span> potentially impact absorbed dose calculations with ionization chambers, particularly with the most inclined applicators.</div></div><div><h3>Conclusions:</h3><div>Based on our results, the study recommends using microDiamond detectors over cylindrical ionization chambers for output factor determination in IOERT with inclined applicators. Addressing energy variations at <span><math><msub><mrow><mi>z</mi></mrow><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></math></span> is crucial to improve accuracy in ionization chamber measurements. These findings have implications for dosimetry protocols in IOERT, contributing to enhanced delivery in clinical practice.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"127 ","pages":"Article 104836"},"PeriodicalIF":3.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing MRI brain tumor classification: A comprehensive approach integrating real-life scenario simulation and augmentation techniques","authors":"Mohamad Abou Ali ,&nbsp;Fadi Dornaika ,&nbsp;Ignacio Arganda-Carreras ,&nbsp;Rejdi Chmouri ,&nbsp;Hussien Shayeh","doi":"10.1016/j.ejmp.2024.104841","DOIUrl":"10.1016/j.ejmp.2024.104841","url":null,"abstract":"<div><div>Brain cancer poses a significant global health challenge, with mortality rates showing a concerning surge over recent decades. The incidence of brain cancer-related mortality has risen from 140,000 to 250,000, accompanied by a doubling in new diagnoses from 175,000 to 350,000. In response, magnetic resonance imaging (MRI) has emerged as a pivotal diagnostic tool, facilitating early detection and treatment planning. However, the translation of deep learning approaches to brain cancer diagnosis faces a critical obstacle: the scarcity of public clinical datasets reflecting real-world complexities. This study aims to bridge this gap through a comprehensive exploration and augmentation of training data. Initially, a battery of pre-trained deep models undergoes evaluation on a main brain cancer MRI “BT-MRI” dataset, yielding remarkable performance metrics, including 100% accuracy, precision, recall, and F1-Score, substantiated by the Score-CAM methodology. This initial success underscores the potential of deep learning in brain cancer diagnosis. Subsequently, the model’s efficacy undergoes further scrutiny using a supplementary brain cancer MRI “BCD-MRI” dataset, affirming its robustness and applicability across diverse datasets. However, the ultimate litmus test lies in confronting the model with synthetic testing datasets crafted to emulate real-world scenarios. The synthetic testing datasets, a BCD-MRI testing sub-dataset enriched with noise, blur, and simulated patient motion, reveal a sobering reality: the model’s performance plummets, exposing inherent limitations in generalization. To address this issue, a diverse set of optimization strategies and augmentation techniques, ranging from diverse optimizers to sophisticated data augmentation methods, are exhaustively explored. Despite these efforts, the problem of generalization persists. The breakthrough emerges with the integration of noise and blur as augmentation techniques during the training process. Leveraging Gaussian noise and Gaussian blur kernels, the model undergoes a transformative evolution, exhibiting newfound robustness and resilience. Retesting the refined model against the challenging synthetic datasets reveals a remarkable transformation, with performance metrics witnessing a notable ascent. This achievement underscores the important role of correct selection of data augmentation in fortifying the generalization of deep learning models for brain cancer diagnosis. This study not only advances the frontiers of diagnostic precision in brain cancer but also underscores the paramount importance of methodological rigor and innovation in confronting the complexities of real-world clinical scenarios.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"127 ","pages":"Article 104841"},"PeriodicalIF":3.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142568905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PP.7.1 MULTIFREQUENCY TYMPANOMETRY: FROM MIDDLE EAR MECHANICS TO DECISION MAKING IN EAR SURGERY","authors":"C. Tsilivigkos,&nbsp;A. Warnecke,&nbsp;E. Ferekidis","doi":"10.1016/j.ejmp.2024.104612","DOIUrl":"10.1016/j.ejmp.2024.104612","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"127 ","pages":"Article 104612"},"PeriodicalIF":3.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"O.6.2 COMPARISON OF MACHINE LEARNING ALGORITHMS TO PREDICT CLINICALLY SIGNIFICANT PROSTATE CANCER WITH T2WEIGHTED-MRI DERIVED RADIOMIC FEATURES","authors":"E. Bekou,&nbsp;C. Loukas,&nbsp;D. Thanasas,&nbsp;A. Tsochatzis,&nbsp;A. Moulita,&nbsp;I. Seimenis,&nbsp;E. Karavasilis","doi":"10.1016/j.ejmp.2024.104560","DOIUrl":"10.1016/j.ejmp.2024.104560","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"127 ","pages":"Article 104560"},"PeriodicalIF":3.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142585479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"O.4.2 CANCER RISK FACTORS FOR TYPICAL SPACE MISSION SCENARIOS USING A MICRODOSIMETRIC APPROACH","authors":"A. Papadopoulos,&nbsp;I. Kyriakou,&nbsp;S. Incerti,&nbsp;G. Santin,&nbsp;P. Nieminen,&nbsp;I.A. Daglis,&nbsp;W. Li,&nbsp;D. Emfietzoglou","doi":"10.1016/j.ejmp.2024.104546","DOIUrl":"10.1016/j.ejmp.2024.104546","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"127 ","pages":"Article 104546"},"PeriodicalIF":3.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"O.1.10 OPTIMIZING SINGLE-ISOCENTER STEREOTACTIC TECHNIQUE FOR MULTIPLE BRAIN METASTASES","authors":"D. Fortatos,&nbsp;M. Psarras,&nbsp;D. Stasinou,&nbsp;T. Stroubinis,&nbsp;A. Zygogianni,&nbsp;V. Kouloulias,&nbsp;M. Protopapa,&nbsp;K. Platoni","doi":"10.1016/j.ejmp.2024.104536","DOIUrl":"10.1016/j.ejmp.2024.104536","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"127 ","pages":"Article 104536"},"PeriodicalIF":3.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PP.1.2 PATIENT-SPECIFIC QUALITY ASSURANCE FOR LUNG CANCER PATIENTS: A COMPARATIVE STUDY BETWEEN FIXED (DMLC) AND ROTATING GANTRY (VMAT)","authors":"A. Koukogiorgos,&nbsp;G. Giakoumettis,&nbsp;E. Papanastasiou","doi":"10.1016/j.ejmp.2024.104579","DOIUrl":"10.1016/j.ejmp.2024.104579","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"127 ","pages":"Article 104579"},"PeriodicalIF":3.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"O.9.1 INNOVATIVE HYBRID NANODRUG DELIVERY PLATFORM FOR THE TARGETED DELIVERY OF METHOTREXATE IN SOLID TUMORS. IN VITRO AND IN VIVO EXPERIMENTATION","authors":"O. Kontogiannis,&nbsp;D. Selianitis,&nbsp;K. Palikaras,&nbsp;N. Pippa,&nbsp;S. Pispas,&nbsp;E. Efstathopoulos,&nbsp;M. Gazouli","doi":"10.1016/j.ejmp.2024.104572","DOIUrl":"10.1016/j.ejmp.2024.104572","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"127 ","pages":"Article 104572"},"PeriodicalIF":3.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}