Radiological Physics and Technology最新文献_第5页

Spine-anchored active contour-based renal spatial prioritization for precision-constrained volumetric segmentation of bilateral nephric tumors via spine-guided 3D deep encoders in abdominopelvic tomographic data. 基于脊柱锚定主动轮廓的肾脏空间优先排序，通过脊柱引导的三维深度编码器在腹部骨盆断层扫描数据中对双侧肾脏肿瘤进行精度约束的体积分割。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-08-07 DOI: 10.1007/s12194-026-01115-0

Mohit Pandey, Abhishek Gupta, Manoj Kumar Gupta, Shubhangi Sankhyadhar

{"title":"Spine-anchored active contour-based renal spatial prioritization for precision-constrained volumetric segmentation of bilateral nephric tumors via spine-guided 3D deep encoders in abdominopelvic tomographic data.","authors":"Mohit Pandey, Abhishek Gupta, Manoj Kumar Gupta, Shubhangi Sankhyadhar","doi":"10.1007/s12194-026-01115-0","DOIUrl":"10.1007/s12194-026-01115-0","url":null,"abstract":"Bilateral renal tumors have proven challenging to precisely segment out of abdominopelvic CT scans. In this regard, the present paper explores a hybridization technique based on spine anchoring using active contour modelling and spatial prioritization for enhanced renal volumetric segmentation. To begin with, the presented model is built upon the spine detection that helps define an anatomically sound anchor for subsequent processing, which involves spatially constrained localization of renal areas using active contour modelling. The pre-processing step can be considered a spatial attention mechanism that limits the search space of the target region and provides additional anatomical context. Next, a 3D-UNet network is utilized for the precise segmentation of nephric tumors with independent coding of left/right kidneys to account for morphological variations. The model's evaluation was performed on the KiTS19 dataset where the Dice coefficient was equal to 90.39%, and Jaccard index was 86.97%. Moreover, kidney segmentation demonstrated even more accurate results (Dice coefficient of 97.53%).","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1324-1337"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148686385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Organ dose assessment in 15-year-old patients undergoing panoramic radiography: a Monte Carlo study using mesh-type phantoms and realistic modelling. 接受全景x线摄影的15岁患者的器官剂量评估：使用网格型幻影和现实模型的蒙特卡罗研究。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-07-20 DOI: 10.1007/s12194-026-01100-7

Maria Rosangela Soares, Wilson Otto Batista, Jacqueline Machado Gurjão Rios

{"title":"Organ dose assessment in 15-year-old patients undergoing panoramic radiography: a Monte Carlo study using mesh-type phantoms and realistic modelling.","authors":"Maria Rosangela Soares, Wilson Otto Batista, Jacqueline Machado Gurjão Rios","doi":"10.1007/s12194-026-01100-7","DOIUrl":"10.1007/s12194-026-01100-7","url":null,"abstract":"This study evaluated organ-specific absorbed doses and sex-dependent dosimetric variations in 15-year-old patients undergoing panoramic radiography across different units technologies. ICRP 156 mesh-type reference computational phantoms (MRCPs) were coupled with the PHITS Monte Carlo code for this analysis. Three panoramic units with distinct kinematics and exposure protocols were simulated: Unit A (fixed isocentric rotation, constant parameters) and Units B and C (sliding rotation axis, dynamic kV/mA modulation). Absolute absorbed doses were estimated using experimentally derived air kerma-area product conversion factors. Salivary glands and oral mucosa received the highest absorbed doses, ranging from 270 to 640 µGy, depending mainly on the tube voltage protocols. Sex-specific dosimetric disparities appeared due to anatomical variations interacting with beam geometry. The female MRCP absorbed 26% to 28% higher doses in the head lymph nodes due to smaller craniofacial dimensions, increasing scattered radiation contribution. Male phantoms systematically received 12% to 13% higher doses to the extrathoracic lymph nodes across all systems, due to a larger cervical circumference intersecting the divergent primary beam. Patient anatomy dictated the relative dose distribution, but the unit's operational protocol, particularly dynamic modulation and beam energy, determined the absolute exposure magnitude. These findings emphasize that 15-year-old patients require age-specific protocol optimization. Using highly realistic MRCPs with dynamic exposure parameters shows that unit technology is the main determinant of patient risk, offering a framework for ALARA implementation in adolescent dental radiology.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1224-1240"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13546361/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148521154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of out-of-field doses in pediatric radiotherapy. 儿童放射治疗的场外剂量评估。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-07-14 DOI: 10.1007/s12194-026-01101-6

Silvana Oliveira Pinheiro, Isabel Faria, Fernando Costa, Armanda Monteiro, Rita Figueira, Gabriel Farinha, Lígia Osório, Guilherme Campos, Pedro Fonseca, Ana Cravo Sá

{"title":"Assessment of out-of-field doses in pediatric radiotherapy.","authors":"Silvana Oliveira Pinheiro, Isabel Faria, Fernando Costa, Armanda Monteiro, Rita Figueira, Gabriel Farinha, Lígia Osório, Guilherme Campos, Pedro Fonseca, Ana Cravo Sá","doi":"10.1007/s12194-026-01101-6","DOIUrl":"10.1007/s12194-026-01101-6","url":null,"abstract":"The accurate estimation of absorbed doses outside the treatment field is relevant in pediatric radiotherapy due to radiosensitivity and long-life expectancy. This study aims to evaluate out-of-field doses in pediatric brain radiotherapy by comparing dose calculations from a commercial treatment planning system (TPS) with Monte Carlo (MC) simulations. A pediatric computational phantom representing a 10-year-old child treated for a brain tumor using Volumetric-Modulated Arc Therapy (VMAT) was used. Dose calculations were performed in the Eclipse TPS and compared with MC simulations carried out using PRIMO software. The MC source configuration, dose-normalization procedure, VMAT control-point reproduction and uncertainty assessment were described to improve reproducibility. Agreement between measurements and MC simulations was observed for reference PDDs, whereas discrepancies were obtained for small-field lateral profiles, mainly due to dose gradients and detector volume-averaging effects. Outside the treatment field, the TPS showed dose discrepancies when compared with MC simulations, particularly in organs located far from the target volume. In several OARs, the TPS underestimated the mean absorbed dose, while in some structures closer to the field, dose overestimation was observed. These out-of-field values were interpreted with caution because organ-specific experimental validation in the pediatric phantom was not available. Within the limitations of a single phantom and plan, MC simulations provide a complementary assessment of out-of-field doses and anatomical volumes when compared with TPS calculations. Their combined use can improve dosimetric characterization and support future pediatric radiotherapy studies, although experimental validation in anthropomorphic phantoms remains necessary before claiming patient-specific accuracy.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1188-1198"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148438264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Metal artifact reduction in maxillofacial bone imaging with dental restorations: efficacy of the MRI pointwise encoding time reduction with radial acquisition sequence versus CT. 牙齿修复颌面骨成像中的金属伪影减少：与CT相比，MRI点对径向采集序列编码时间减少的效果。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-06-01 DOI: 10.1007/s12194-026-01069-3

Yuji Kurosawa, Mai Kim, Keisuke Suzuki, Kouichi Ujita, Daisuke Ozaki, Hiromi Hirasawa, Takayuki Suto, Satoshi Yokoo, Yoshito Tsushima

{"title":"Metal artifact reduction in maxillofacial bone imaging with dental restorations: efficacy of the MRI pointwise encoding time reduction with radial acquisition sequence versus CT.","authors":"Yuji Kurosawa, Mai Kim, Keisuke Suzuki, Kouichi Ujita, Daisuke Ozaki, Hiromi Hirasawa, Takayuki Suto, Satoshi Yokoo, Yoshito Tsushima","doi":"10.1007/s12194-026-01069-3","DOIUrl":"10.1007/s12194-026-01069-3","url":null,"abstract":"Pointwise Encoding Time Reduction with Radial Acquisition (PETRA) is an ultra-short echo time (UTE) MRI sequence that effectively reduces metal artifacts. Although UTE-MRI is useful for maxillofacial bone imaging, its metal artifact reduction (MAR) effectiveness has not been directly compared with computed tomography (CT) in the same patient cohort. This study evaluated the MAR effectiveness of routine CT (without MAR algorithms) and the PETRA sequence in bone assessments of the maxilla and mandible in patients with dental restorations. Thirty-one patients with dental restorations underwent both routine CT and PETRA. Two observers independently assessed metal artifact severity using a four-point visual scale (0-3) across five anatomical planes: two in the maxilla, two in the mandible, and the occlusal plane (OP). Median scores, inter-observer agreement (weighted kappa), and the relationship between the number of dental restorations and artifact severity were analyzed. Overall, artifact scores for the PETRA sequence tended to be lower than those for routine CT. At the OP, PETRA scores were significantly lower than routine CT for both observers (p < 0.01), yielding scores of 0 or 1 in over 80% of cases. For PETRA, no strong correlation was found between the number of restorations and artifact severity, consistently showing minimal artifacts regardless of the restoration count. PETRA was more effective than routine CT in reducing metal artifacts for maxillofacial bone assessment, particularly at the OP. PETRA's superior bone visualization suggests its potential as a valuable complementary tool for evaluating jawbone conditions.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"970-977"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148139277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Visualization of nonlinearity in image reconstruction using nonlocal means filters for regularization under noisy conditions. 噪声条件下非局部均值滤波器正则化图像重构非线性的可视化。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-06-09 DOI: 10.1007/s12194-026-01076-4

Hiroyuki Shinohara, Hideaki Tashima

{"title":"Visualization of nonlinearity in image reconstruction using nonlocal means filters for regularization under noisy conditions.","authors":"Hiroyuki Shinohara, Hideaki Tashima","doi":"10.1007/s12194-026-01076-4","DOIUrl":"10.1007/s12194-026-01076-4","url":null,"abstract":"The nonlocal means (NLM) filter is inherently nonlinear because its weighting coefficients depend on image intensities; however, how this nonlinearity manifests when NLM is used as a regularization term in image reconstruction has not been fully clarified. This study aimed to visualize and characterize the influence of NLM-induced nonlinearity on reconstructed images through numerical simulations. We first mathematically demonstrated-using reductio ad absurdum and direct proof-that NLM is a nonlinear filter. A two-dimensional disk source, and the BrainWeb dataset were used as test objects. Ideal parallel-beam projection data and projection data containing Poisson noise were used. Image reconstruction was performed using least squares (LS). NLM-based regularization enforcing the reconstructed image to match the NLM-filtered result (adsorption model). Evaluation metrics included the difference image, the relative L1 norm of the difference image, the profile curve, and the area under the profile curve. LS regularized with NLM exhibited linear approximation behavior in the absence of noise if regularization and NLM parameter carefully chosen. The presence of noise amplified nonlinear effects. These findings indicate that comparing mathematical formula with image-based evaluation metrics is useful for understanding how NLM regularization affects reconstructed images under different input conditions.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1029-1042"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148206289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Content-based retrieval of fundus images and diabetic retinopathy detection using variants of local texture features. 基于内容的眼底图像检索和基于局部纹理特征变体的糖尿病视网膜病变检测。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-07-29 DOI: 10.1007/s12194-026-01106-1

Arpita Santra, Imtiyaz Ahmad, Vibhav Prakash Singh

{"title":"Content-based retrieval of fundus images and diabetic retinopathy detection using variants of local texture features.","authors":"Arpita Santra, Imtiyaz Ahmad, Vibhav Prakash Singh","doi":"10.1007/s12194-026-01106-1","DOIUrl":"10.1007/s12194-026-01106-1","url":null,"abstract":"Content-based retinal image analysis plays a crucial role in the early diagnosis of ocular diseases. In this study, we proposed a novel approach for efficient content-based retinal image retrieval and Diabetic Retinopathy (DR) detection using variants of local texture features derived from Local Binary Pattern (LBP), Local Ternary Pattern (LTP), and Gray Level Co-occurrence Matrix (GLCM). The methodology begins with meticulous image preprocessing to enhance feature extraction, followed by the extraction of LBP, LTP, and GLCM features, which capture intricate texture patterns and enrich the feature space for robust analysis. Subsequently, we trained machine learning models, including Support Vector Machine (SVM), Decision Tree, and Random Forest, on the extracted features to effectively retrieve retinal images and detect DR. A comparative analysis between preprocessed and raw images highlights the impact of preprocessing techniques on performance. A key innovation of this study lies in the fusion of multiple texture-based features, creating a comprehensive representation that integrates high-level semantic information with fine-grained local patterns. This hybrid approach enhances the system's capability to handle diverse retinal image variations, leading to improved retrieval accuracy and robustness. Further, a metaheuristic approach for feature selection and optimization is employed, comparing Differential Evolution, Genetic Algorithm, and Particle Swarm Optimization to identify the most effective features for retrieval. Differential Evolution achieved the highest precision of 90.67 % for retrieving the top 10 relevant images. The proposed hybrid approach demonstrates the effectiveness of integrating classical image analysis methods with machine learning for DR detection and content-based image retrieval. This research contributes to precision medicine and healthcare innovation by advancing ML-driven retinal image analysis.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1277-1298"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148621772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction: Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic video. 更正：使用基于深度学习的x射线透视视频缺陷区域量化建立铅围裙的丢弃标准。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 DOI: 10.1007/s12194-026-01116-z

Koichi Hanada, Haruka Suzuki, Masato Takahashi, Hiraku Fuse, Manamu Kimura, Kota Sasaki, Kenji Yasue, Hiroki Nosaka, Shin Miyakawa, Norikazu Koori

引用次数: 0

A data-driven scientific approach to explore the relationship between MGMT methylation and imaging phenotype in glioblastoma. 数据驱动的科学方法探索胶质母细胞瘤中MGMT甲基化与成像表型之间的关系。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-05-25 DOI: 10.1007/s12194-026-01068-4

Sakura Sugyo, Mio Ishii, Mazen Soufi, Yoshikazu Uchiyama

{"title":"A data-driven scientific approach to explore the relationship between MGMT methylation and imaging phenotype in glioblastoma.","authors":"Sakura Sugyo, Mio Ishii, Mazen Soufi, Yoshikazu Uchiyama","doi":"10.1007/s12194-026-01068-4","DOIUrl":"10.1007/s12194-026-01068-4","url":null,"abstract":"Glioblastoma is a highly malignant brain tumor, and patient survival remains short despite multimodal treatment. One important prognostic factor is the methylation status of the O⁶-methylguanine DNA methyltransferase (MGMT) gene, as MGMT promoter methylation is associated with a better response to temozolomide chemotherapy. The aim of this study was to evaluate the association between noninvasively obtained imaging features and MGMT methylation status. Magnetic resonance (MR) images and MGMT methylation data for 55 glioblastoma cases (33 methylated, 22 unmethylated) were obtained from the publicly available TCGA-GBM database. After brain morphological standardization, tumor centroid coordinates were calculated and used as inputs for a quadratic discriminant classifier to assess the separability of MGMT methylation status based on anatomical location. In addition, 279 radiomic features, including histogram- and texture-based metrics, were extracted from tumor regions. Using Lasso regression, nine features were selected and subsequently analyzed using linear discriminant analysis. The areas under the receiver operating characteristic curve (AUCs) were 0.71 for anatomical location-based classification and 0.85 for radiomic feature-based classification. Because the correlation between anatomical location and radiomic features was low, integrating both feature sets improved discrimination performance to an AUC of 0.90. These results suggest that imaging examinations capture complementary information regarding tumor morphology and anatomical origin. The anatomical location of glioblastoma may therefore provide useful clues for classifying MGMT gene methylation status.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"961-969"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148018080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of DVH-based machine learning and 3D convolutional neural network approaches for automated VMAT planning in head and neck cancer. 基于dvh的机器学习与三维卷积神经网络方法在头颈癌VMAT自动规划中的比较。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-06-03 DOI: 10.1007/s12194-026-01070-w

Takuya Nakamura, Hirofumi Yamasaki, Tomohiko Kawachino, Yutaro Tasaki, Yuto Kimura, Ryo Toya

{"title":"Comparison of DVH-based machine learning and 3D convolutional neural network approaches for automated VMAT planning in head and neck cancer.","authors":"Takuya Nakamura, Hirofumi Yamasaki, Tomohiko Kawachino, Yutaro Tasaki, Yuto Kimura, Ryo Toya","doi":"10.1007/s12194-026-01070-w","DOIUrl":"10.1007/s12194-026-01070-w","url":null,"abstract":"This study compared a dose-volume histogram-based machine learning (ML) approach with a three-dimensional dose distribution-based convolutional neural network (CNN) approach for volumetric-modulated arc therapy planning in head and neck cancer (HNC). Sixty-five patients who underwent whole-neck radiotherapy were retrospectively analyzed; 55 cases were used for model training and 10 for independent testing. Treatment plans generated by the CNN-based framework and a commercial ML-based planning system (RapidPlan) were evaluated using dose-volume indices (DVIs) and blinded qualitative scoring. In the DVI analysis, the ML-based plans achieved significantly higher target coverage than both the CNN-based and clinical plans. In contrast, the CNN-based plans maintained a mean error of less than 2% relative to the clinical plans, indicating close agreement with the clinical standard. No statistically significant differences in organs-at-risk dose metrics were observed among the three approaches. In the blinded qualitative evaluation, mean scores were 4.7 ± 0.56, 4.0 ± 1.07, and 2.7 ± 0.90 for the clinical, CNN-based, and ML-based plans, respectively, with the ML-based plans receiving significantly lower scores. These findings indicate that differences in prediction methodology and optimization strategy influence final plan quality, particularly with respect to spatial dose characteristics. Three-dimensional dose distribution-based prediction may provide clinical advantages for automated radiotherapy planning in HNC.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"978-987"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148151744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

In vivo dosimetry of cardiac implantable electronic devices with a radiophotoluminescent glass dosimeter in patients undergoing radiotherapy. 放射光致发光玻璃剂量计在放疗患者心脏植入式电子装置体内剂量测定中的应用。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-06-21 DOI: 10.1007/s12194-026-01065-7

Shohei Mikasa, Hiroyuki Okamoto, Yuki Miura, Yusuke Watanabe, Toshimitsu Sofue, Satoshi Nakamura, Takahito Chiba, Kotaro Ijima, Tetsu Nakaichi, Mihiro Takemori, Hiroki Nakayama, Hiroshi Igaki

{"title":"In vivo dosimetry of cardiac implantable electronic devices with a radiophotoluminescent glass dosimeter in patients undergoing radiotherapy.","authors":"Shohei Mikasa, Hiroyuki Okamoto, Yuki Miura, Yusuke Watanabe, Toshimitsu Sofue, Satoshi Nakamura, Takahito Chiba, Kotaro Ijima, Tetsu Nakaichi, Mihiro Takemori, Hiroki Nakayama, Hiroshi Igaki","doi":"10.1007/s12194-026-01065-7","DOIUrl":"10.1007/s12194-026-01065-7","url":null,"abstract":"We aimed to establish and evaluate a method for measuring the cardiac implantable electronic devices (CIEDs) dose of radiotherapy patients using radiophotoluminescence glass dosimeters (RPLDs). Thirty-two treatment courses of thirty patients were analyzed. The relationships between the CIEDs dose and the treatment site locations were analyzed, and the RPLD doses were compared to the treatment planning system (TPS) doses for head and neck or chest cases (n = 18). A phantom study was conducted in five cases wherein the dose discrepancies between RPLD and TPS in all fractions were more than double and 5 cGy or more, and filter of energy dependence correction of RPLDs was evaluated. The longer the distance between the irradiation field and the CIEDs, the lower the doses, and it was approximated by a function of the power law of distance from the field edge. In eighteen cases where TPS and RPLD doses could be compared, the dose discrepancies per prescribed dose between RPLD measurements and TPS calculations were within 1.15%, with a 95% confidence limit of 0.6%. In the phantom study, the dose discrepancies between the RPLD and TPS were decreased using filters for all five cases. In conclusion, in vivo dosimetry using RPLD was very useful as a means of avoiding the following risks: when planning CT did not include the CIED for dose calculation-based assessment; unintended direct exposure of the CIED to the treatment beam; furthermore, TPS dose calculation accuracy outside of the irradiated field remains an issue.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"938-949"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148296748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0