Pub Date : 2026-02-01DOI: 10.1016/j.ejmp.2025.105288
A. Vannucci , M. Bonuso , A. Burattini , M. Carruezzo , M.S. De Feo , A. De Gregorio , G. De Vincentis , G. Franciosini , V. Frantellizzi , L. Gasparini , M. Garbini , N. Krah , M. Magi , E. Manuzzato , M. Marafini , L. Mattiello , R. Passerone , V. Patera , F. Quattrini , D. Rocco , G. Traini
{"title":"Development of high-Z doped plastic scintillators for SPECT imaging and radiometabolic dosimetry","authors":"A. Vannucci , M. Bonuso , A. Burattini , M. Carruezzo , M.S. De Feo , A. De Gregorio , G. De Vincentis , G. Franciosini , V. Frantellizzi , L. Gasparini , M. Garbini , N. Krah , M. Magi , E. Manuzzato , M. Marafini , L. Mattiello , R. Passerone , V. Patera , F. Quattrini , D. Rocco , G. Traini","doi":"10.1016/j.ejmp.2025.105288","DOIUrl":"10.1016/j.ejmp.2025.105288","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"142 ","pages":"Article 105288"},"PeriodicalIF":2.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147192","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}
Pub Date : 2026-02-01DOI: 10.1016/j.ejmp.2025.105309
M. Rago , R. El Gawhary , C. Borrazzo , M. Masi , F. Tortorelli , C. Properzi , D. Marchesano , G. Grimaldi , F. Bianciardi , I. Annessi , A. Di Palma , M. Valentino , L. Verna , G. Chiarello , P. Gentile
{"title":"The powerful tool of failure mode and effect analysis FMEA to mitigate potential errors on stereotactic arrhythmia radioablation star workflow in ViewRay MRIdian LINAC","authors":"M. Rago , R. El Gawhary , C. Borrazzo , M. Masi , F. Tortorelli , C. Properzi , D. Marchesano , G. Grimaldi , F. Bianciardi , I. Annessi , A. Di Palma , M. Valentino , L. Verna , G. Chiarello , P. Gentile","doi":"10.1016/j.ejmp.2025.105309","DOIUrl":"10.1016/j.ejmp.2025.105309","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"142 ","pages":"Article 105309"},"PeriodicalIF":2.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147195","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}
Background: Radiomics has emerged as a promising approach for predicting radiotherapy (RT)- induced xerostomia in head and neck cancer (HNC) patients, potentially enabling more personalized treatment strategies.
Methods: This systematic review was conducted in accordance with PRISMA guidelines and protocol registered in PROSPERO (CRD420251039081). A comprehensive search of PubMed, Scopus, Web of Science, and the Cochrane Library was done between January 2010 and April 2025. Also, quality assessment of included studies was performed using the radiomics quality score (RQS) tool.
Results: This systematic review included 32 eligible studies with 4,167 HNC patients. The RQS ranged from 7 to 33 out of 36, with a mean of 15.13 (42.0 %). A dose-dependent relationship between radiation dose and xerostomia severity was observed. V30 > 50 % and V40 > 60 % doses to the parotids were associated with moderate-to-severe xerostomia (Grades 2-3), affecting 50 % of patients in some studies. IMRT still resulted in moderate-to-severe xerostomia when these dose thresholds were exceeded. Additionally, submandibular glands were also critical, especially with V40 > 60 % doses. Delta-radiomics refers to the analysis of changes in radiomic features over time, typically before and after treatment, to assess tissue response. Delta-radiomics outperformed static radiomics most of studies, particularly with MRI or MVCT. The highest performance was reported with an AUC of 0.97 for a CT + MRI ensemble machine learning model, and an R2 of 0.98 for a delta-radiomics MRI model.
Conclusions: Radiomics-based models, particularly those using delta features and multimodal imaging, show high potential for accurate xerostomia prediction in HNC.
{"title":"Advances in radiomics for predicting and managing xerostomia following radiotherapy: A systematic review.","authors":"Soheila Sharifian Jazi, Mohammadreza Khademi, Iraj Abedi, Ali Shams, Parinaz Mehnati, Davood Khezerloo","doi":"10.1016/j.ejmp.2026.105715","DOIUrl":"10.1016/j.ejmp.2026.105715","url":null,"abstract":"<p><strong>Background: </strong>Radiomics has emerged as a promising approach for predicting radiotherapy (RT)- induced xerostomia in head and neck cancer (HNC) patients, potentially enabling more personalized treatment strategies.</p><p><strong>Methods: </strong>This systematic review was conducted in accordance with PRISMA guidelines and protocol registered in PROSPERO (CRD420251039081). A comprehensive search of PubMed, Scopus, Web of Science, and the Cochrane Library was done between January 2010 and April 2025. Also, quality assessment of included studies was performed using the radiomics quality score (RQS) tool.</p><p><strong>Results: </strong>This systematic review included 32 eligible studies with 4,167 HNC patients. The RQS ranged from 7 to 33 out of 36, with a mean of 15.13 (42.0 %). A dose-dependent relationship between radiation dose and xerostomia severity was observed. V<sub>30</sub> > 50 % and V<sub>40</sub> > 60 % doses to the parotids were associated with moderate-to-severe xerostomia (Grades 2-3), affecting 50 % of patients in some studies. IMRT still resulted in moderate-to-severe xerostomia when these dose thresholds were exceeded. Additionally, submandibular glands were also critical, especially with V<sub>40</sub> > 60 % doses. Delta-radiomics refers to the analysis of changes in radiomic features over time, typically before and after treatment, to assess tissue response. Delta-radiomics outperformed static radiomics most of studies, particularly with MRI or MVCT. The highest performance was reported with an AUC of 0.97 for a CT + MRI ensemble machine learning model, and an R<sup>2</sup> of 0.98 for a delta-radiomics MRI model.</p><p><strong>Conclusions: </strong>Radiomics-based models, particularly those using delta features and multimodal imaging, show high potential for accurate xerostomia prediction in HNC.</p>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"142 ","pages":"105715"},"PeriodicalIF":2.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146108669","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}
Pub Date : 2026-02-01DOI: 10.1016/j.ejmp.2025.105262
A. Giannone , F.De Monte , M. Paiusco , B. Castaldi
{"title":"Cumulative effective and organ dose from multiple imaging modalities in paediatric interventional cardiology: a Monte Carlo calculation","authors":"A. Giannone , F.De Monte , M. Paiusco , B. Castaldi","doi":"10.1016/j.ejmp.2025.105262","DOIUrl":"10.1016/j.ejmp.2025.105262","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"142 ","pages":"Article 105262"},"PeriodicalIF":2.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147134","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}
Pub Date : 2026-02-01DOI: 10.1016/j.ejmp.2025.105252
E. Balboni, L. Nocetti, G. Guidi
{"title":"Configuration and validation of pyskindose for the calculus of peak skin dose for an angiography equipment","authors":"E. Balboni, L. Nocetti, G. Guidi","doi":"10.1016/j.ejmp.2025.105252","DOIUrl":"10.1016/j.ejmp.2025.105252","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"142 ","pages":"Article 105252"},"PeriodicalIF":2.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147142","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}
Pub Date : 2026-02-01DOI: 10.1016/j.ejmp.2025.105238
C. Cutaia, L. De Cilladi, M. Pinna, L. Li Donni, M. Stasi, P. Trevisiol
{"title":"Establishing local diagnostic reference levels and typical values in “West Torino Metropolitan Area” for selected interventional cardiology procedures","authors":"C. Cutaia, L. De Cilladi, M. Pinna, L. Li Donni, M. Stasi, P. Trevisiol","doi":"10.1016/j.ejmp.2025.105238","DOIUrl":"10.1016/j.ejmp.2025.105238","url":null,"abstract":"","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"142 ","pages":"Article 105238"},"PeriodicalIF":2.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146147150","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}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号