MEDICAL DOSIMETRY 是美国医学剂量师协会的官方期刊，是有关医学剂量师新发展的重要信息来源。该杂志的覆盖面实用且全面，收录了医学剂量师、肿瘤学家、物理学家和放射治疗技术专家对癌症治疗中外束、间质、腔内和腔内照射的临床应用和技术的原创贡献和评论文章。主要涉及物理学的文章将由该领域的一个特别任命的专家团队进行审查。

Medical Dosimetry is the official journal of the American Association of Medical Dosimetrists, serving as a vital source of information on new developments in medical dosimetry. The journal covers practical and comprehensive content, featuring original contributions and review articles from medical dosimetrists, oncologists, physicists, and radiation therapy technologists regarding the clinical applications and techniques of external beam, brachytherapy, and intracavitary irradiation in cancer treatment. Articles primarily focused on physics will be reviewed by a specially appointed team of experts in the field.

《Medical Dosimetry》是美国医学剂量师协会的官方期刊，提供有关医学剂量师新发展的重要信息。该杂志内容实用且全面，收录了医学剂量师、肿瘤学家、物理学家和放射治疗技术专家在癌症治疗中外束、间质、腔内和腔内照射的临床应用和技术方面的原创贡献和评论文章。主要涉及物理学的文章将由该领域特别任命的专家团队进行审查。

Medical Dosimetry

The goal of this study was to investigate the variability of target volume and parotid gland dose distribution for nasopharyngeal carcinoma (NPC), and to explore the shifting patterns of parotid gland centroid and neck radius during radiotherapy. Twenty patients with NPC were enrolled. The target volume dose difference between planning dose and recalculated dose on weekly CT was analyzed. The recalculated doses on every weekly CT were cumulated to assess the difference between delivered dose and planning dose. The relationship of parotid gland centroid deviation with dose was studied, and the shrinking distances of neck radius were calculated for cervical vertebra 1, 2, 3 levels (C1, C2, C3). The ratio of GTVs and CTVs doses on weekly CTs to the doses on planning CT was all above 0.98; the dose of PTVs on weekly CT tended to decrease compared with planning. RMD was defined as the ratio of the mean dose of the left and right parotid glands (L-PG, R-PG) to the planning mean dose. The fitted relationships of RMD and the deviation of centroid (D) for L-PG and R-PG were: RMD=0.37*D+0.98 (R2 = 0.62, p < 0.001) and RMD = 0.33*D+0.97 (R2 = 0.72, p < 0.001), respectively. The order of neck radius shrinking distance at different levels was C1>C2=C3. In this study, we quantitatively analyzed the dosimetric variabilities of target volumes, and established linear models of parotid gland dose and its centroid deviation, which provides fractional and full-course dose evaluation during radiotherapy for NPC.

Fan Zhang

Jing Liu

Mi Zhou

Xutong Li

Lu Yue

Chong Zhao

Zhenyu Qi

Xiaowu Deng

Yinglin Peng

Zhiping Luo

Medical dosimetry

Med Dosim

Evaluation of dose and anatomy variability for nasopharyngeal carcinoma radiotherapy with a new fully integrated CT-linac

新型全集成CT-直线加速器用于鼻咽癌放疗的剂量和解剖变异评估

Aperture shape controller (ASC) is a recently introduced leaf sequencer that controls the complexity of multileaf collimator apertures in the Photon Optimizer algorithm of the Eclipse treatment planning system. The aim of this study is to determine if the ASC can reduce plan complexity and improve verification results, without compromising plan quality.

Diana Binny

Myles Spalding

Scott B Crowe

David Jolly

Tanya Kairn

Jamie V Trapp

Anthony Walsh

Medical dosimetry : official journal of the American Association of Medical Dosimetrists

Investigating the use of aperture shape controller in VMAT treatment deliveries.

研究在VMAT治疗中使用孔径形状控制器的效果。

The purpose of this study was to investigate the effect of multileaf collimator (MLC) leaf position, collimator rotation angle, and accelerator gantry rotation angle errors on intensity-modulated radiotherapy plans for nasopharyngeal carcinoma. To compare dosimetric differences between the simulating plans and the clinical plans with evaluation parameters, 6 patients with nasopharyngeal carcinoma were selected for simulation of systematic and random MLC leaf position errors, collimator rotation angle errors, and accelerator gantry rotation angle errors. There was a high sensitivity to dose distribution for systematic MLC leaf position errors in response to field size. When the systematic MLC position errors were 0.5, 1, and 2mm, respectively, the maximum values of the mean dose deviation, observed in parotid glands, were 4.63%, 8.69%, and 18.32%, respectively. The dosimetric effect was comparatively small for systematic MLC shift errors. For random MLC errors up to 2mm and collimator and gantry rotation angle errors up to 0.5°, the dosimetric effect was negligible. We suggest that quality control be regularly conducted for MLC leaves, so as to ensure that systematic MLC leaf position errors are within 0.5mm. Because the dosimetric effect of 0.5° collimator and gantry rotation angle errors is negligible, it can be concluded that setting a proper threshold for allowed errors of collimator and gantry rotation angle may increase treatment efficacy and reduce treatment time.

Sen Bai

Guangjun Li

Maojie Wang

Qinfeng Jiang

Yingjie Zhang

Yuquan Wei

Effect of MLC leaf position, collimator rotation angle, and gantry rotation angle errors on intensity-modulated radiotherapy plans for nasopharyngeal carcinoma.

多叶准直器叶片位置、准直器旋转角度和机架旋转角度误差对鼻咽癌调强放疗计划的影响。

Manual delineation of organs at risk and clinical target volumes is essential in radiotherapy planning. Atlas-based auto-segmentation (ABAS) algorithms have become available and been shown to provide accurate contouring for various anatomical sites. Recently, deep learning auto-segmentation (DL-AS) algorithms have emerged as the state-of-the-art in medical image segmentation. This study aimed to evaluate the effect of auto-segmentation on the clinical workflow for contouring different anatomical sites of cancer, such as head and neck (H&N), breast, abdominal region, and prostate. Patients with H&N, breast, abdominal, and prostate cancer (n = 30 each) were enrolled in the study. Twenty-seven different organs at four sites were evaluated. RayStation was used to apply the ABAS. Siemens AI-Rad Companion Organs RT was used to apply the DL-AS. Evaluations were performed with similarity indices using geometric methods, time-evaluation, and qualitative scoring visual evaluations by radiation oncologists. The DL-AS algorithm was more accurate than ABAS algorithm on geometric indices for half of the structures. The qualitative scoring results of the two algorithms were significantly different, and DL-AS was more accurate on many contours. DL-AS had 41%, 29%, 86%, and 15% shorter edit times in the HnN, breast, abdomen, and prostate groups, respectively, than ABAS. There were no correlations between the geometric indices and visual assessments. The time required to edit the contours was considerably shorter for DL-AS than for ABAS. Auto-segmentation with deep learning could be the first step for clinical workflow optimization in radiotherapy.

Ryohei Yamauchi

Tomoko Itazawa

Takako Kobayashi

Shiho Kashiyama

Hiroyoshi Akimoto

Norifumi Mizuno

Jiro Kawamori

Clinical evaluation of deep learning and atlas-based auto-segmentation for organs at risk delineation

基于深度学习和图谱的危及器官自动勾画临床评估

Subhra S. Biswal

Biplab Sarkar

Monika Goyal

Tharmarnadar Ganesh

Tanweer Shahid

Jibak Bhattacharya

An assessment of the influence of trade-off optimization in commercial knowledge based planning library creation for tongue cancer patients

舌癌患者商业知识库规划库创建中权衡优化的影响评估

To investigate the dosimetric impact of laterality-specific RapidPlan models for nonsmall cell lung cancer. Three RapidPlan models were developed and validated for Right, Left, and General conventional lung radiotherapy. Each model was trained using 50 plans. The right and left models consisted of plans corresponding to their respective laterality. Twenty-five cases were randomly chosen from each laterality-specific model to craft a general model. All models shared identical optimization objectives and the same target and OAR structures. Validation included 13 right-sided and 13 left-sided cases optimized using each RapidPlan model without intervention and normalized such that the prescription dose covered 95% of the target volume. Statistical analysis using a paired sample t-test (p < 0.01) assessed dosimetric endpoints based on RTOG 0617 criteria. For right-sided cases, spinal cord Dmax and D0.03cc were lowest in the left model and highest in the right model (21.08 Gy and 21.22 Gy vs 23.67 Gy and 24.08 Gy). Dmax and D0.03cc esophagus mean dose was also lower in the left model compared to the right model (p < 0.01) for both left and right-sided cases. However, overall plan quality exhibited no substantial difference between general and laterality-specific models. Despite observing small but statistically significant differences, there is no discernible difference in plan quality between laterality-specific and general models, suggesting that a single RapidPlan model is sufficient.

Julia Seng

Kirk Luca

Justin Roper

Aparna H Kesarwala

Shadab Momin

Dosimetric comparison between laterality-specific and general knowledge-based planning models for nonsmall cell lung cancer

非小细胞肺癌左右侧特异性与通用知识库计划模型的剂量学比较

The virtual cone is an innovative MLC-based technique for generating dose distributions comparable to those of physical stereotactic cones. Initially designed for functional radiosurgery applications using a high-definition multileaf collimator (MLC) with 2.5 mm leaf width, this technique has been adapted to a standard 5 mm MLC system for treating small brain metastases. The adapted technique uses preconfigured location-specific control point sequences to produce spherical dose distributions with sharp dose gradients, and facilitates efficient planning through parallelizable template-based workflows. This report highlights the use of the adapted virtual cone technique for treating a 57-year-old patient with a 3 mm brain metastasis from metastatic papillary thyroid carcinoma using a standard multileaf collimator.

Eric Lobb

Novel application of an adapted virtual cone technique for the radiosurgical treatment of a 3 mm brain metastasis with a standard multileaf collimator

标准多叶准直器放射外科治疗3 mm脑转移瘤的改良虚拟锥技术新应用

Jiajun Zheng

Yatian Liu

Jianfeng Wu

Li Sun

Dan Zong

Xia He

Dosimetric effects of the leaf positioning error of the halcyon(2.0) dual-layer multileaf collimator (MLC) on the rectal cancer radiotherapy

Halcyon（2.0）双层多叶准直器（MLC）叶片定位误差对直肠癌放疗剂量学影响

Abbreviation	Med. Dosim.
Journal Impact	1.11
Quartiles(Global)	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING(Q3)

ISSN	0958-3947, 1873-4022
h-index	46

Publication Information	Publisher: Elsevier Inc.，Publishing cycle: Quarterly，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 1988，Proportion of original research papers: 98.36%，Self Citation Rate:9.10%， Gold OA Rate: 5.85%
Average review cycle	网友分享经验：较慢,6-12周来源Elsevier官网：平均16.5周
Average recruitment ratio	网友分享经验：容易来源Elsevier官网：23%

Medical Dosimetry

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Evaluation of dose and anatomy variability for nasopharyngeal carcinoma radiotherapy with a new fully integrated CT-linac

Investigating the use of aperture shape controller in VMAT treatment deliveries.

Effect of MLC leaf position, collimator rotation angle, and gantry rotation angle errors on intensity-modulated radiotherapy plans for nasopharyngeal carcinoma.

Clinical evaluation of deep learning and atlas-based auto-segmentation for organs at risk delineation

An assessment of the influence of trade-off optimization in commercial knowledge based planning library creation for tongue cancer patients

An assessment of the influence of trade-off optimization in commercial knowledge based planning library creation for tongue cancer patients

Dosimetric comparison between laterality-specific and general knowledge-based planning models for nonsmall cell lung cancer

Novel application of an adapted virtual cone technique for the radiosurgical treatment of a 3 mm brain metastasis with a standard multileaf collimator

Evaluation of dose and anatomy variability for nasopharyngeal carcinoma radiotherapy with a new fully integrated CT-linac

Dosimetric effects of the leaf positioning error of the halcyon(2.0) dual-layer multileaf collimator (MLC) on the rectal cancer radiotherapy