Radiological Physics and Technology最新文献

{"title":"Managing radiological technologists' impatience: testing the effectiveness of a group work intervention.","authors":"Ryu Mabuchi, Hiroshi Nakai","doi":"10.1007/s12194-026-01075-5","DOIUrl":"10.1007/s12194-026-01075-5","url":null,"abstract":"<p><p>Impatience is closely associated with stress, anxiety, and tension, all of which can adversely affect task performance and decision-making. Previous research analyzing incident reports from radiological technologists (RTs) has shown that impatience contributes to incidents regardless of years of experience. Based on these findings, this study aimed to evaluate the effectiveness of a group-work intervention designed to regulate feelings of impatience. A group-work session titled \"Coping with Impatience and Its Effects\" was conducted with 16 RTs at Kyoto University Hospital (mean experience: 5.2 years, SD: 7.2 years). A 9-item questionnaire, using a 4-point scale to assess common clinical scenarios, was administered at four time points: pre-intervention, immediately after, 1 month after, and 6 months after the intervention. Changes in scores were analyzed using the Wilcoxon signed-rank test. Regarding the degree of impatience, scores for impatience caused by others (e.g., doctors and nurses) decreased significantly immediately after (Z = 2.38, p < 0.05, r = 0.59), at 1 month (Z = 2.12, p < 0.05, r = 0.53), and at 6 months (Z = 3.01, p < 0.01, r = 0.75). Impatience due to time constraints decreased significantly only immediately after the intervention (Z = 2.76, p < 0.01, r = 0.69). Impatience related to patients showed significant reductions at 1 month (Z = 2.62, p < 0.01, r = 0.66) and at 6 months (Z = 2.35, p < 0.05, r = 0.59). Regarding the impact on performance, impatience caused by others decreased significantly immediately post-intervention (Z = 2.31, p < 0.05, r = 0.58) and at 1 month (Z = 2.13, p < 0.05, r = 0.53). Time-related impact decreased significantly at all post-intervention time points (immediately after: Z = 2.97, p < 0.01, r = 0.74; 1 month: Z = 2.12, p < 0.05, r = 0.53; 6 months: Z = 2.13, p < 0.05, r = 0.53). No significant changes were observed in the impact of patient-related impatience. All significant effects demonstrated large effect sizes (r) according to Cohen's criteria. A group-work intervention focused on the emotional regulation of impatience may be effective in reducing both impatience and its impact on the duties of RTs. These findings suggest that such interventions could contribute to improved patient safety and enhanced professional well-being.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1043-1054"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148176932","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}

{"title":"Effect of 70-kVp chest CT on surface dose at the mammary gland level in a neonatal phantom under matched CTDIvol conditions.","authors":"Nanami Usui, Takanori Masuda, Norimi Nishiyama, Junichi Nakagawa, Mako Yamada, Nagito Kuwada, Hitoshi Takahata, Takashi Amano, Shinichi Arao","doi":"10.1007/s12194-026-01117-y","DOIUrl":"10.1007/s12194-026-01117-y","url":null,"abstract":"<p><p>To compare surface dose at the mammary gland level between 70- and 120-kVp non-contrast neonatal chest computed tomography (CT) under matched volume CT dose index (CTDIvol) conditions, a neonatal anthropomorphic phantom was scanned using a 256-row CT scanner. Real-time dosimeters were placed bilaterally on the anterior chest wall at the mammary gland level and on the posterior chest wall at the same axial level. For the 70-kVp protocol, the noise index was adjusted to match the console-displayed CTDIvol of the 120-kVp protocol. Each protocol was repeated 15 times, and image noise was measured on axial images. Anterior surface dose was significantly higher with 70 kVp than with 120 kVp (median [IQR], 5.67 [5.17-5.86] vs. 5.29 [4.84-5.43] mGy; p < 0.01). Posterior surface dose and image noise did not differ significantly. Under matched CTDIvol conditions, 70-kVp neonatal chest CT increased anterior mammary surface dose relative to 120-kVp CT in this phantom.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1460-1465"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148686242","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}

{"title":"Improved delineation of the cystic artery using super-resolution deep learning reconstruction in contrast-enhanced abdominal computed tomography.","authors":"Akira Katayama, Koichiro Yasaka, Yasunori Hamaguchi, Akiyoshi Hamada, Naomasa Okimoto, Osamu Abe","doi":"10.1007/s12194-026-01066-6","DOIUrl":"10.1007/s12194-026-01066-6","url":null,"abstract":"<p><p>This study aimed to evaluate the image quality and delineation of the cystic artery and related abdominal vessels using Super-Resolution Deep Learning Reconstruction (SR-DLR) on contrast-enhanced computed tomography (CT), compared with standard Deep Learning Reconstruction (DLR). This retrospective study included 60 patients who underwent contrast-enhanced abdominal CT with an arterial phase between April and June 2025. Images were reconstructed using both SR-DLR and DLR algorithms. Quantitative evaluation included CT attenuation values, image noise, contrast-to-noise ratio (CNR), full width at half maximum (FWHM), and edge rise distance and edge rise slope (ERD/ERS) for the superior mesenteric artery (SMA) and proper hepatic artery (PHA). Three radiologists independently performed qualitative assessments of cystic artery, PHA, SMA, and cystic duct delineation, as well as image noise, sharpness, and artifacts. SR-DLR showed significantly lower image noise and higher CT attenuation values and CNR than DLR (p < 0.001). SR-DLR yielded higher ERS and lower ERD for the PHA and SMA compared to DLR (p ≤ 0.006). Qualitative analysis demonstrated that all three readers rated cystic artery delineation as significantly better with SR-DLR than with DLR (p ≤ 0.018). SR-DLR also achieved higher scores for image sharpness and diagnostic acceptability (p ≤ 0.001). SR-DLR significantly improves the delineation and image quality of the cystic artery and adjacent vascular anatomy compared with DLR. While no significant improvement in cystic artery detection was observed, the enhanced image quality may better support clinical confidence in preoperative planning for cholecystectomy and interventional radiology procedures.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"950-960"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13546330/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147965004","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}

{"title":"Effects of medium thickness on cellular energy deposition in boron neutron capture therapy.","authors":"Maheraj Khan, Hiroshi Watabe, Peter K N Yu, A K F Haque, M Ismail Hossain, M Rafiqul Islam, Gary Tse, Mehrdad Shahmohammadi Beni","doi":"10.1007/s12194-026-01091-5","DOIUrl":"10.1007/s12194-026-01091-5","url":null,"abstract":"<p><p>Boron Neutron Capture Therapy is dependent on localized energy deposition of alpha particles and lithium nuclei. However, deviations and inconsistencies in cellular responses to neutron beams are frequently reported in radiobiological studies. This technical note investigates dosimetric impact of the overlying medium thickness on a [Formula: see text] cellular array using Monte Carlo method. [Formula: see text]B concentrations ranging from 0 to 80 ppm were evaluated to explicitly quantify energy partitioning between the cytoplasm and nucleus. Our findings demonstrate that minor variations in the aqueous medium layer severely attenuate the thermal neutron flux, leading to a marked decrease in the absolute dose deposited in the cellular targets. Specifically, increasing the medium thickness from 100 μm to 800 μm resulted in a [Formula: see text] reduction in the total cellular dose at 80 ppm. These results highlight the critical necessity of controlling and reporting fluid levels in BNCT in vitro experiments to prevent dosimetric variations and ensure reproducible biological outcomes.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1421-1426"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13546304/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148388362","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}

{"title":"Methodology for intrafraction organ motion tracking using ultrasound for respiratory-gated radiotherapy.","authors":"Yuji Yaegashi, Kohei Sasaki","doi":"10.1007/s12194-026-01087-1","DOIUrl":"10.1007/s12194-026-01087-1","url":null,"abstract":"<p><p>Respiratory-gated radiotherapy techniques have been introduced into the stereotactic body radiotherapy (SBRT) to manage intrafraction organ motions, as follows: respiratory gating using optical tracking, respiratory gating using X-ray fluoroscopy, and breath hold or force shallow breathing. Particularly in respiratory-gated radiotherapy for lung cancer, optical tracking techniques have been performed by tracking the up-and-down movement of an infrared reflective marker placed on the abdomen or around xiphoid tip of the patient to obtain respiratory waveforms (e.g., real-time position management [RPM] system, Varian Medical Systems, Palo Alto, CA). However, the up-and-down movement of the abdomen is highly variable during breathing, and there are limitations to using respiratory waveforms obtained by this method to accurately surrogate the respiratory displacement of lung cancer. To address several limitations, in this study, we demonstrated a methodology for respiratory-gated radiotherapy using ultrasound. The proposed system enables non-invasive, real-time observation of internal organs. It directly tracks liver edges using the Shi-Tomasi method for edge detection and the Lucas-Kanade method with Gaussian pyramid techniques for motion tracking. Irradiation timing is determined using Euclidean distance and histogram matching with predefined thresholds for \"BEAM ON\" output. Phantom and volunteer studies-performed to evaluate feasibility. As a result, the usefulness in the human body was confirmed. However, further investigation is required to resolve the issue of fixing the ultrasound probe on the abdomen under natural breathing conditions before the proposed method can be applied to achieve non-invasive and highly accurate respiratory-gated radiation therapy.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1099-1105"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148319965","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}

{"title":"Multiparametric analysis using MRI after preoperative embolization in meningioma: a preliminary study.","authors":"Ling Li, Naoki Ohno, Mitsuhito Mase, Hiroshi Yamada, Mizuki Sakai, Shun Kinoshita, Harumasa Kasai, Azusa Kitao, Tosiaki Miyati","doi":"10.1007/s12194-026-01088-0","DOIUrl":"10.1007/s12194-026-01088-0","url":null,"abstract":"<p><p>Quantitative evaluation of early perfusion and diffusion changes in meningiomas, including both intratumoral region and peritumoral edema, remains limited within the first 1-2 days postembolization. This study aimed to use multiparametric magnetic resonance imaging (MRI) to investigate early structural and perfusion-related changes in both the intratumoral region and peritumoral edema after preoperative embolization of supratentorial meningiomas. Seven patients with supratentorial meningiomas underwent MRI before and 1-2 days after embolization with Embosphere microspheres (100-300 μm and 300-500 μm), primarily via the middle meningeal artery. Quantitative assessments included intratumoral region and peritumoral edema volumes, quantitative T₂, and intravoxel incoherent motion (IVIM) parameters (D, f, D^*, fD^*, and ΔD). In the intratumoral region, significant reductions in volume (mean change of 28.1%, P = 0.028), quantitative T₂ (mean change of 7.4%, P = 0.028), and all perfusion-related IVIM parameters (f, D^*, fD^*) (P ≤ 0.043) were observed. These findings are consistent with early postembolization ischemia. In contrast, the true diffusion coefficient (D) and the dynamic parameter (ΔD) showed no significant change (P > 0.05). Peritumoral edema showed no significant differences across the measured parameters (P > 0.05). Preoperative embolization is associated with early reductions in viable tumor volume, perfusion-related IVIM parameters, and T₂, reflecting imaging changes consistent with early ischemia primarily within the intratumoral region. The stability of peritumoral edema parameters suggests that early postembolization effects are mainly limited to the intratumoral region.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1413-1420"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148392008","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}

{"title":"Dose-report-driven body weight estimation in diagnostic CT using a practical machine learning framework.","authors":"Hajime Ichikawa, Norikazu Koori, Shota Ichikawa, Yasuhiro Sawane, Takayuki Shibutani, Mitsuaki Terabe, Naoki Kodama","doi":"10.1007/s12194-026-01109-y","DOIUrl":"10.1007/s12194-026-01109-y","url":null,"abstract":"<p><p>In radiology practice, patient body weight is important for contrast media and radiopharmaceutical dosing, radiation dose management, and examination-related workflows, yet it is not consistently available in routine clinical settings. The purpose of this study was to investigate the feasibility of estimating adult body weight using diagnostic CT dose report metrics across CT systems. This retrospective single-center study included 2496 consecutive adults who underwent diagnostic CT on three scanners. Measured body weight served as the reference standard. LightGBM regression was evaluated in three settings: (1) a baseline model using dose report-derived patient size and exposure metrics, including water-equivalent diameter and sex; (2) an extended model additionally incorporating body region and CT system; and (3) scanner-wise cross-validation to assess cross-scanner generalizability. For settings 1 and 2, data were split into training, validation, and test sets (75%/15%/10%). On the independent test set, the baseline model achieved a mean absolute error of 3.07 kg, with 86.0% of examinations within ± 10% of reference weight. The extended model showed a slight improvement (mean absolute error, 2.83 kg; examinations within ± 10%, 88.8%). In scanner-wise cross-validation, mean absolute error ranged from 3.16 to 4.37 kg. Adult body weight can be estimated with practical accuracy using routinely available diagnostic CT dose-report information in a single-institution, multi-scanner setting.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1267-1276"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148593972","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}

{"title":"Deep learning-based multi-modality image conversion for evaluating dose calculation and position correction accuracy in image-guided radiation therapy.","authors":"Ryoma Tsuchiya, Keisuke Usui, Hajime Sakamoto, Shinsuke Kyogoku, Hiroyuki Daida","doi":"10.1007/s12194-026-01108-z","DOIUrl":"10.1007/s12194-026-01108-z","url":null,"abstract":"<p><p>Cone-beam CT (CBCT) is widely used in image-guided radiation therapy (IGRT). However, CBCT has limited image quality, which can reduce dose calculation and position correction accuracy. This study aimed to propose a deep learning-based multi-modality image synthesis framework to enhance the feasibility of adaptive radiation therapy (ART) and IGRT. Two conditional generative adversarial network (CGAN) models were developed: a CBCT-to-CT model to generate synthetic CT (sCT) from CBCT, and a CT-to-MRI model to generate synthetic MRI (sMRI) from CT. The models were trained with 80 cases and tested with another 20 cases. Image quality was evaluated using the structural similarity index (SSIM) and peak signal-to-noise ratio (PSNR). Moreover, a volumetric modulation arc therapy plan of 48 Gy in four fractions was recalculated using sCT images and compared with the dose distributions of original CT images. Each sMRI and original MRI were registered to the original CT, and displacements between each registered image were quantified based on the CT. The sCT generated using the CBCT-to-CT model improved SSIM from 0.15 to 0.82 and PSNR from 11.3 to 19.9 dB, while the sMRI generated using the CT-to-MRI model improved SSIM from 0.09 to 0.63 and PSNR from 10.3 to 23.9 dB. The dose distribution based on sCT achieved a gamma pass rate over 95%, and positional correction differences of sMRI were within 1 mm. Multi-modality image synthesis using CGAN enables high-fidelity image generation from CBCT, improving both dose calculation and position correction accuracy for ART and IGRT.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1255-1266"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148608553","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}

{"title":"Educational effectiveness of short-term e-learning intervention on chest radiograph assessment skills among radiological technology students: a pre- and post-comparative study.","authors":"Taku Kuramoto, Nao Ichikawa, Shin Nagamata, Hiroyuki Tsushima","doi":"10.1007/s12194-026-01090-6","DOIUrl":"10.1007/s12194-026-01090-6","url":null,"abstract":"<p><p>Medical imaging interpretation is central to clinical decision-making. However, a significant global radiologist shortage necessitates an expanded role for radiological technologists in providing image interpretation support. Preparing students for this role is challenging because undergraduate radiological technology curricula are notoriously crowded, restricting time for practical chest X-ray (CXR) interpretation training. To address this educational gap, we quantitatively evaluated the impact of a highly feasible, 180-minute e-learning intervention on students' CXR evaluation skills. Sixty-nine third-year radiological technology students completed a self-directed learning session using the diagnostic simulator simu.Doc. Accuracy rates and response times for a 50-case CXR test were measured pre- and post-intervention. To assess the method's versatility, participants were stratified into three proficiency levels based on pre-test scores. The overall mean accuracy rate significantly improved from 40.7 to 60.0% (p < 0.001), while the mean response time significantly decreased from 36.2 to 23.2 min (p < 0.001). Subgroup analysis demonstrated significant improvements across all proficiency levels. Furthermore, ANCOVA revealed no significant differences among the groups in post-test accuracy (p = 0.788) or response time (p = 0.653) when adjusted for pre-test scores. These results indicated that performance converged to a statistically uniform level regardless of baseline knowledge. This study provides quantitative evidence that a short, intensive e-learning program utilizing digital transformation can effectively and sustainably enhance CXR interpretation skills, facilitating the integration of image evaluation training into time-constrained undergraduate curricula.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1119-1128"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148621774","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}

{"title":"Quantifying the spatial information loss of Dose-Volume Histograms in Gamma Knife radiosurgery via unsupervised 3D dose geometry embedding.","authors":"Omar Hamzaoui, Yassine Oulhouq, Mohammed Rezzoug, Mustapha Zerfaoui, Dikra Bakkari, Abdeslem Rrhioua","doi":"10.1007/s12194-026-01093-3","DOIUrl":"10.1007/s12194-026-01093-3","url":null,"abstract":"<p><p>Dose-Volume Histograms (DVH) discard spatial information by summarizing 3D distributions into 1D curves. This study quantifies this loss in Gamma Knife radiosurgery and introduces TopoGK, a novel unsupervised deep learning framework capturing full 3D dose geometry. Ninety-six vestibular schwannoma plans were analyzed. Dose grids were tumor-centered, resampled to [Formula: see text] voxels, and normalized to [Formula: see text]. A 3D Convolutional Variational Autoencoder compressed each dose-mask volume into a 64dimensional spatial embedding. Spatial information loss was quantified by comparing pairwise DVH and latent distances both globally and within volume-stratified subgroups. Physical validation employed hotspot center-of-mass displacement, gradient anisotropy, and a novel Spatial Discordance Index (SDI). Five-fold cross-validation ensured generalizability. A linear PCA baseline was included for comparison. The correlation between DVH and spatial similarity was weak ([Formula: see text] within volume-matched pairs). Among DVH-matched pairs, the hotspot exhibited a median physical displacement of 2.81 mm (90th percentile: 4.69 mm), and 61.8-76.5% exceeded heuristic geometric SDI thresholds. Multivariate regression ([Formula: see text]; volume-adjusted [Formula: see text]) confirmed that the learned embedding is driven by spatial metrics-hotspot displacement ([Formula: see text]) and anisotropy ( [Formula: see text]) rather than DVH ([Formula: see text]). Held-out reconstruction SSIM reached [Formula: see text]. TopoGK outperformed PCA in spatial correlation ( [Formula: see text] 0.451 vs. 0.287). DVH similarity does not guarantee spatial dose equivalence. The proposed framework provides a physically validated spatial fingerprint capturing geometric variations invisible to conventional plan evaluation. As a proof-of-concept in single-fraction vestibular schwannoma radiosurgery, these results motivate further investigation toward spatially-aware quality assurance in stereotactic radiosurgery.</p>","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1153-1167"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148521173","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}