Radiological Physics and Technology最新文献_第4页

Dnq-unet: a two-level fusion framework for few-shot domain adaptation in cervical cancer CTV segmentation. Dnq-unet：一种两级融合框架，用于子宫颈癌CTV分割中的小域自适应。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-06-03 DOI: 10.1007/s12194-026-01072-8

Boying Li, Yihui Liu, Yanfei Pan, Yuhui Zhang

{"title":"Dnq-unet: a two-level fusion framework for few-shot domain adaptation in cervical cancer CTV segmentation.","authors":"Boying Li, Yihui Liu, Yanfei Pan, Yuhui Zhang","doi":"10.1007/s12194-026-01072-8","DOIUrl":"10.1007/s12194-026-01072-8","url":null,"abstract":"To develop and validate a two-level hierarchical fusion architecture enabling efficient few-shot domain adaptation for cervical cancer clinical target volume (CTV) auto-segmentation across different institutional imaging and contouring settings. We propose DNQ-UNet, a dual-encoder architecture with two fusion levels: spatially adaptive normalization (SPADE) for shallow appearance alignment and cross-attention for deep semantic transfer. A progressive two-stage training strategy with grouped learning rates was employed. Few-shot adaptation used 3, 5, 10, 20, 40, and 60 fine-tuning cases, and additional 3D fine-tuning baselines, including nnU-Net V2, SwinUNETR, and MedNeXt, were evaluated under identical target-domain test settings. Ablation studies assessed each fusion component. On the target-domain test set, zero-shot DSC was [Formula: see text]. With 3, 5, and 10 fine-tuning cases, DSC improved to [Formula: see text], [Formula: see text], and [Formula: see text], respectively. DNQ-UNet achieved the highest DSC among the compared 3D baselines at 5-shot (0.830 vs. 0.805-0.817) and 10-shot (0.838 vs. 0.823-0.833) settings. Ablation showed significant DSC reductions after removing either fusion level or using a single U-Net (all [Formula: see text]). The proposed framework enables efficient few-shot domain adaptation for cervical cancer CTV segmentation using 5-10 annotated cases, providing a locally adapted contour-initialization approach that may reduce annotation and repeated correction burden during cross-institutional deployment.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"998-1008"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13546316/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148151689","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

Evaluation of a bolus-tracking method based on a pitch-correction formula for lower-extremity CT angiography. 基于节距校正公式的下肢CT血管造影丸跟踪方法的评估。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-05-18 DOI: 10.1007/s12194-026-01064-8

Ryota Abe, Takanori Masuda, Hiroyuki Kurokawa, Yuma Takechi

{"title":"Evaluation of a bolus-tracking method based on a pitch-correction formula for lower-extremity CT angiography.","authors":"Ryota Abe, Takanori Masuda, Hiroyuki Kurokawa, Yuma Takechi","doi":"10.1007/s12194-026-01064-8","DOIUrl":"10.1007/s12194-026-01064-8","url":null,"abstract":"To assess the clinical utility of a novel scan-timing protocol Pitch Optimized Bolus Tracking (POBT) for lower-extremity CT angiography (CTA). The POBT method individualizes the helical pitch on the basis of patient-specific cardiac output, thereby maximizing arterial enhancement and limiting venous contamination. In this retrospective study, 75 patients who underwent lower-extremity CTA were divided into two groups. The POBT group (n = 39) employed a patient-specific pitch factor derived from echocardiographic stroke volume and heart rate, whereas the conventional bolus-tracking (BT) group (n = 36) used a fixed pitch. Quantitative and qualitative evaluations of arterial and venous contrast enhancement were performed at predefined anatomical levels. Relative to the conventional BT group, the POBT group exhibited significantly greater distal arterial enhancement (median, 302 HU vs. 265 HU; p < 0.05) and substantially lower venous contamination (5.1% vs. 31%; p < 0.05). Arterial image quality was rated \"excellent\" more frequently in the POBT group, with pronounced suppression of venous overlap. Contrast-medium volume did not differ between groups. The POBT method improves diagnostic performance in lower-extremity CTA by adapting the helical pitch to individual hemodynamics, thereby enhancing distal arterial visualization and mitigating venous contamination without increasing patient dose or contrast load.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1473-1484"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147965027","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

Effects of source-to-image distance and dose mode on image quality and radiation dose in high-definition (Hi-Def) angiography. 高清血管造影中源像距离和剂量方式对图像质量和辐射剂量的影响。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-06-12 DOI: 10.1007/s12194-026-01079-1

Kunihito Tsuboi, Hiroshi Matsushima, Takamasa Kanbe, Yumiko Iguchi, Ken Tanikawa, Masanori Kaneko

{"title":"Effects of source-to-image distance and dose mode on image quality and radiation dose in high-definition (Hi-Def) angiography.","authors":"Kunihito Tsuboi, Hiroshi Matsushima, Takamasa Kanbe, Yumiko Iguchi, Ken Tanikawa, Masanori Kaneko","doi":"10.1007/s12194-026-01079-1","DOIUrl":"10.1007/s12194-026-01079-1","url":null,"abstract":"This study evaluated the effects of source-to-image distance (SID) and dose mode on image quality and radiation dose in a high-definition (Hi-Def) angiography compared with conventional flat-panel detector (FPD). A phantom study was performed with varying SID (90-120 cm) and dose mode (low, normal, high). Fluoroscopy images were assessed using standard deviation (SD), contrast-to-noise ratio (CNR), air kerma rate, and spatial resolution (visual assessment). SD increased with SID in both systems, but Hi-Def exhibited more stable noise performance compared with FPD. Increasing SID reduced spatial resolution and increased air kerma rate in Hi-Def. CNR improved with increasing dose mode, whereas spatial resolution showed no significant differences. These results demonstrate that Hi-Def imaging exhibits unique characteristics, including increased radiation dose and SID-sensitive spatial resolution. Optimizing SID and dose mode is essential to preserve spatial resolution, avoid unnecessary radiation exposure, and achieve a balance between image quality and dose in Hi-Def.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1387-1393"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148228245","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

Towards integrating domain knowledge, AutoML and few-shot learning for medical image analysis: a mini review of current trends and research gaps. 整合领域知识、AutoML和少量镜头学习用于医学图像分析：当前趋势和研究差距的小回顾。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-06-06 DOI: 10.1007/s12194-026-01077-3

Nitiyaa Ragu, Jason Teo

{"title":"Towards integrating domain knowledge, AutoML and few-shot learning for medical image analysis: a mini review of current trends and research gaps.","authors":"Nitiyaa Ragu, Jason Teo","doi":"10.1007/s12194-026-01077-3","DOIUrl":"10.1007/s12194-026-01077-3","url":null,"abstract":"Medical image analysis is essential for modern diagnostics, as it enables accurate and rapid disease detection. However, traditional deep learning models require large, annotated datasets, which are frequently inaccessible in medical scenarios due to data scarcity, privacy constraints, and excessive labeling costs. Few-Shot Learning (FSL) and Automated Machine Learning (AutoML) have appeared as effective techniques to address these issues. FSL utilizes meta-learning and metric-based strategies enabling models to learn from small samples, while AutoML automates model design and optimization, reducing reliance on expert intervention. Additionally, the integration of domain-specific knowledge, including anatomical priors and clinically relevant features, has demonstrated enhancements in interpretability and diagnostic significance. This mini review offers a structured analysis of FSL, AutoML, and domain-specific knowledge in medical image analysis, emphasizing their potential integration. A critical evaluation of existing literature reveals that most studies use these approaches independently. The review further examines methodological limitations, dataset constraints, and clinical applicability challenges across current studies. Based on these findings, key research gaps are identified, such as the need for domain-informed architecture search, standardized evaluation protocols, and pipelines that use less computer power. Notably, metric-based FSL approaches were more widely used than gradient-based methods due to their stability under limited data conditions. However, the literature is still methodologically fragmented, with FSL, AutoML, and domain-specific knowledge mainly studied separately or in partial combinations. The paper concludes by outlining future research directions toward the development of AutoML-enhanced FSL frameworks integrated with domain-specific knowledge to improve performance, interpretability, and clinical reliability in data-constrained environments.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"910-925"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148176973","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 platinum and gold fiducial markers for prostate radiotherapy: a phantom study. 前列腺放射治疗的铂和金基准标志物的比较：一项虚幻研究。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-06-01 DOI: 10.1007/s12194-026-01057-7

Noriyuki Mihashi, Ryoichi Hinoto, Takatsugu Kawase, Nobuhiro Tsukamoto

引用次数: 0

Intra-vendor inter-scanner agreement of negative-HU measurements on fast kV-switching dual-energy CT virtual monoenergetic imaging: a phantom study. 快速kv开关双能CT虚拟单能成像负hu测量的厂商间扫描仪协议：一项幻象研究。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-07-11 DOI: 10.1007/s12194-026-01096-0

Norimi Nishiyama, Takanori Masuda, Junnichi Nakagawa, Motohiro Tabchi, Ryota Yamanaka, Yoshinori Nagayasu, Yuta Fujiwara, Hiroyuki Ikenaga

{"title":"Intra-vendor inter-scanner agreement of negative-HU measurements on fast kV-switching dual-energy CT virtual monoenergetic imaging: a phantom study.","authors":"Norimi Nishiyama, Takanori Masuda, Junnichi Nakagawa, Motohiro Tabchi, Ryota Yamanaka, Yoshinori Nagayasu, Yuta Fujiwara, Hiroyuki Ikenaga","doi":"10.1007/s12194-026-01096-0","DOIUrl":"10.1007/s12194-026-01096-0","url":null,"abstract":"The purpose of this study was to evaluate inter-scanner agreement and the dose-related stability of negative CT-number measurements on dual-energy CT virtual monoenergetic images under low-, mid-, and high-dose conditions. A custom phantom (sawdust, salad oil, cutting-fluid dilutions 100%-3%, and water) was scanned on two CT systems (Revolution CT and Discovery CT750 HD). DECT VMI (40-140 keV) was acquired at three CTDIvol-defined dose levels with five repeats per condition; CT numbers were measured using standardized central ROIs. Negative-HU materials increased monotonically with increasing keV on both scanners. At 70 keV, inter-scanner bias (ΔHU = Revolution - 750HD) increased as HU became more negative (r = 0.840), with an overall mean bias of - 3.57 HU and 95% limits of agreement of - 16.90 to 9.75 HU. The largest discrepancies were for sawdust (- 18.70 to - 20.09 HU). Water reference behavior differed by scanner and dose (Mean(|HU|) across 40-140 keV: 0.223 HU for Revolution vs. 2.464 HU for 750HD at low dose; 750HD remained offset at mid-high dose (2.319-2.508 HU). Dose stability at 70 keV was generally high, but 750HD showed low-dose deviations for 20% and 30% (ranges 12.13 and 12.27 HU) that diminished at mid-high dose. VMI shows predictable energy-dependent behavior for negative-HU materials, but inter-scanner bias increases for strongly negative values and low-dose conditions, and water-reference behavior can influence stability; scanner-aware interpretation and phantom-based harmonization are warranted for quantitative evaluation in the negative HU range.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1179-1187"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148425321","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

Dosimetric comparison of seed-less and multi-seed ¹²⁵I eye plaque: a Monte Carlo study. 无种子和多种子125I眼斑的剂量学比较：蒙特卡罗研究。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-07-15 DOI: 10.1007/s12194-026-01098-y

Subhalaxmi Mishra, T Palani Selvam, Munir S Pathan, B K Sapra

{"title":"Dosimetric comparison of seed-less and multi-seed 125I eye plaque: a Monte Carlo study.","authors":"Subhalaxmi Mishra, T Palani Selvam, Munir S Pathan, B K Sapra","doi":"10.1007/s12194-026-01098-y","DOIUrl":"10.1007/s12194-026-01098-y","url":null,"abstract":"This study presents a comprehensive dosimetric comparison between Collaborative Ocular Melanoma Study (COMS) eye plaque containing 125I seeds and a novel seed-less design plaque of similar shape and radioactive strength using high-precision Monte Carlo Technique. Monte Carlo-based dose distributions such as central axis depth dose, lateral off-axis dose profiles and 2-dimensional isodose distributions for three different plaque diameters 10, 14 and 20 mm are calculated and compared with the dose distributions of analogous seed-less plaques. This study also evaluates the influence of different seed Models on the dose distributions across 10, 14, and 20 mm plaque diameters. The results demonstrate that the dosimetric advantage of the seed-less design is independent of the specific seed model and dependent on the diameter of the plaques. Seed-less plaque of 10 mm diameter produces comparable dose distribution with the corresponding multi-seed plaque design. Seed-less plaques of 14 mm and 20 mm diameter deliver dose rates approximately twice as high as the corresponding multi-seed plaques. For large tumours, the seed-less design demonstrates superior dose retention at the tumour apex, maintaining 23.7% of the surface dose at a 10 mm depth compared to only 16.4% for multi-seed plaques. Furthermore, seed-less plaques exhibit a steeper lateral dose fall-off and reduced integral dose, significantly enhancing the sparing of adjacent organs at risk (OAR). By providing superior tumour dose uniformity and improved OAR protection, seed-less plaques represent a promising, dosimetrically superior alternative for management of large intraocular masses.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1199-1209"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148449911","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

Accuracy evaluation and acceleration of Monte Carlo simulation of scattered radiation using a high-fidelity mobile X-ray fluoroscopy system model. 利用高保真移动x射线透视系统模型对散射辐射进行蒙特卡罗模拟的准确性评估和加速。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-08-03 DOI: 10.1007/s12194-026-01111-4

Mao Tabuchi, Toshioh Fujibuchi, Donghee Han

{"title":"Accuracy evaluation and acceleration of Monte Carlo simulation of scattered radiation using a high-fidelity mobile X-ray fluoroscopy system model.","authors":"Mao Tabuchi, Toshioh Fujibuchi, Donghee Han","doi":"10.1007/s12194-026-01111-4","DOIUrl":"10.1007/s12194-026-01111-4","url":null,"abstract":"A high-fidelity electron-source Monte Carlo model of a mobile C-arm fluoroscopy system was developed using Particle and Heavy Ion Transport code system (PHITS) to evaluate scattered radiation and calculation acceleration. Electrons were injected into the X-ray tube target, and energy spectra, dose profiles, and scattered doses around the tube head and in the room were calculated. Simulated spectra Simulated spectra agreed with the measured spectra with a root mean square error of 0.06 or less, and the simulation-to-measurement ratios of the scattered air kerma from the electron-source simulations were within 20% at every measurement point. In the simulated two-dimensional distributions, the electron-source simulations showed higher scattered doses than the photon-source simulation at heights above 150 cm. The time required to reach 10% statistical uncertainty decreased from 168.28 h to 72.33 h using the dump technique and to 1.25 h, excluding the dump-generation stage, when combined with the weight window method. The method supports characterization of scattered air-kerma distributions relevant to occupational exposure.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1450-1459"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148664706","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

Image quality enhancement of small field-of-view cone-beam CT for image-guided radiotherapy using a structure-preserving cycle-consistent generative adversarial network. 使用结构保持周期一致生成对抗网络增强小视场锥束CT图像引导放疗的图像质量。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-07-13 DOI: 10.1007/s12194-026-01099-x

Idzuru Yoshinaga, Sho Ozaki, Hideki Obara, Masahiko Aoki

{"title":"Image quality enhancement of small field-of-view cone-beam CT for image-guided radiotherapy using a structure-preserving cycle-consistent generative adversarial network.","authors":"Idzuru Yoshinaga, Sho Ozaki, Hideki Obara, Masahiko Aoki","doi":"10.1007/s12194-026-01099-x","DOIUrl":"10.1007/s12194-026-01099-x","url":null,"abstract":"Cone-beam CT (CBCT) is widely used for patient positioning in image-guided radiotherapy (IGRT), but full-fan CBCT, which reduces patient dose and acquisition time, suffers from a smaller field of view (FOV) and degraded image quality. To address this limitation, we developed a generative adversarial network (GAN)-based image translation framework, specifically a Cycle-consistent GAN (CycleGAN), to enhance small-FOV CBCT images. The method incorporates dedicated preprocessing and multiple structure-preserving loss functions to mitigate boundary effects caused by truncation of patient anatomy. The model was trained and evaluated on CBCT and planning CT (PlanCT) images from prostate cancer patients. Experimental results demonstrated that the proposed approach substantially improved soft-tissue contrast, reduced noise, and preserved anatomical structures, as confirmed by Hounsfield unit statistics, histogram analysis, and noised SelfSSIM metrics. Importantly, the generated images exhibited image characteristics comparable to PlanCT, supporting accurate patient positioning. These findings indicate that the proposed GAN-based framework effectively enhances the image quality of small-FOV CBCT while maintaining anatomical fidelity, offering practical potential for clinical IGRT workflows.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1210-1223"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148431363","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

Influence of target coverage priority levels on dose homogeneity in commercial automated field-in-field planning for breast radiotherapy. 靶覆盖优先级对商业自动化乳腺放疗场内规划剂量均匀性的影响。

IF 1.6

Radiological Physics and Technology Pub Date : 2026-09-01 Epub Date: 2026-08-01 DOI: 10.1007/s12194-026-01119-w

Hideharu Miura, Yoshiko Doi, Masanori Ochi, Masahiro Kenjo, Shuichi Ozawa

{"title":"Influence of target coverage priority levels on dose homogeneity in commercial automated field-in-field planning for breast radiotherapy.","authors":"Hideharu Miura, Yoshiko Doi, Masanori Ochi, Masahiro Kenjo, Shuichi Ozawa","doi":"10.1007/s12194-026-01119-w","DOIUrl":"10.1007/s12194-026-01119-w","url":null,"abstract":"To evaluate the impact of five automated field-in-field (Auto FIF) priority levels in RayStation on dosimetric parameters in left-sided whole-breast radiotherapy. Ten women with early-stage left-sided breast cancer were planned with standard tangential fields and Auto FIF at priority levels 1-5 in deep inspiration breath hold. The evaluated metrics were CTV_eval D98% and D2%, homogeneity index (HI), and ipsilateral lung V40Gy. CTV_eval D98% remained close to the prescription dose across all priority levels, whereas higher priority levels increased CTV_eval D2% and HI, indicating more pronounced high-dose regions and reduced dose homogeneity. Ipsilateral lung V40Gy increased at higher priority levels, but high-dose lung volumes remained small. Higher Auto FIF priority levels yielded only minimal gains in target coverage while increasing high-dose regions and reducing dose homogeneity. Priority levels 1 and 2 provided the most favorable balance between target coverage and organ-at-risk sparing.","PeriodicalId":46252,"journal":{"name":"Radiological Physics and Technology","volume":" ","pages":"1466-1472"},"PeriodicalIF":1.6,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148654793","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