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Advances in low-dose spectral computed tomography imaging for colorectal cancer 结直肠癌低剂量谱计算机断层成像研究进展
Q1 Health Professions Pub Date : 2025-12-01 DOI: 10.1016/j.radmp.2025.11.003
Jingyi Zhang, Dongdong Song
This systematic review examines the technological principles and clinical applications of low-dose spectral computed tomography (CT) in colorectal cancer (CRC). Although spectral CT provides significant functional and quantitative insights beyond conventional anatomical imaging, the associated high radiation exposure necessitates the development of low-dose imaging protocols. This review synthesizes the current evidence on methods used to achieve acceptable image quality with reduced radiation dose, using techniques such as automatic tube current modulation and high-pitch scanning. A summary of the reviewed studies indicates that these low-dose protocols can maintain adequate diagnostic performance for key clinical tasks in CRC, including vascular visualization, tumor delineation, and the development of radiomics and deep learning-based diagnostic models. The emerging use of advanced reconstruction techniques—particularly artificial intelligence-based iterative reconstruction and deep learning image reconstruction algorithms—shows promise in supporting substantial dose reduction without compromising diagnostic confidence. In addition to advances in reconstruction algorithms, photon-counting CT represents a promising future direction owing to its inherently higher dose efficiency and spatial resolution. Continued research in radiomics and deep learning models is also pivotal to the future of medical imaging, as these approaches hold strong potential to enhance diagnostic accuracy, support individualized treatment planning, and advance precision medicine in CRC imaging.
本系统综述探讨了低剂量谱计算机断层扫描(CT)在结直肠癌(CRC)中的技术原理和临床应用。尽管光谱CT提供了比传统解剖成像更重要的功能和定量见解,但相关的高辐射暴露需要开发低剂量成像方案。这篇综述综合了目前关于使用自动管电流调制和高频扫描等技术在降低辐射剂量的情况下获得可接受的图像质量的方法的证据。综述的研究表明,这些低剂量方案可以在CRC的关键临床任务中保持足够的诊断性能,包括血管可视化、肿瘤描绘、放射组学和基于深度学习的诊断模型的发展。先进重建技术的新兴应用,特别是基于人工智能的迭代重建和深度学习图像重建算法,显示出在不影响诊断信心的情况下支持大幅减少剂量的前景。除了重建算法的进步,光子计数CT由于其固有的更高的剂量效率和空间分辨率,代表了一个有希望的未来方向。放射组学和深度学习模型的持续研究对医学成像的未来也至关重要,因为这些方法在提高诊断准确性、支持个体化治疗计划和推进CRC成像的精准医学方面具有强大的潜力。
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引用次数: 0
Effect of boiling time on radionuclide concentration in seafood 煮沸时间对海产品中放射性核素浓度的影响
Q1 Health Professions Pub Date : 2025-12-01 DOI: 10.1016/j.radmp.2025.12.004
Xiaolei Shen , Yue Feng , Yuyang Yao , Feng Tian , Peng Dang , Qinghua Li

Objective

To reveal the effect of boiling time on radionuclide concentrations in seafood by investigating boiling-represented cooking practices, in order to fill the knowledge gap on how boiling time affects human radiation exposure.

Methods

A total of 13 seafood species of four categories (fish, crustacean, mollusk and algae) were collected from the coastal areas of China and analyzed for radionuclide contents left after boiling at 5, 10, 20 and 40 ​min under 100°C. Gross α and β, 40K, 226Ra, 232Th, 137Cs were measured using the low background α and β counter and the gamma-spectrometer.

Results

The contents of radionuclides decreased significantly with the increasing boiling time. The average retention rate of α-emitting radionuclide in in fish, crustacean, mollusk, and algae decreased to 64.47%, 53.34%, 84.12% and 62.63% after 5 ​min of boiling, respectively, and then to 15.46%, 14.21%, 71.94%, and 27.27% after 40 ​min, respectively. The average retention rate of β-emitting radionuclide in in fish, crustacean, mollusk, and algae decreased to 64.89%, 43.43%, 66.55% and 63.30% after 5 ​min, respectively, and then to 47.90%, 29.01%, 45.96%, and 53.24% after 40 ​min. The greatest loss of solubility was observed for 40K with the average retention rate of 47.16% after 10 ​min, and higher retention rate of 87.86% and 90.03% in 226Ra and 232Th, respectively.

Conclusion

Boiling is effective in reducing the radionuclide content, with the committed effective dose (CED) reduction of 44.6% achieved by boiling for 10 ​min, mainly due to the reduction in 40K. A full assessment will also be needed to incorporate more radionuclides (210Po, 210Pb, 228Ra) into the calculations.
目的通过调查以煮沸为代表的烹饪方法,揭示煮沸时间对海产品中放射性核素浓度的影响,以填补关于煮沸时间如何影响人体辐射暴露的知识空白。方法采集中国沿海地区鱼类、甲壳类、软体动物和藻类4大类13种海产品,分别在100℃下煮沸5、10、20、40 min后测定其放射性核素含量。采用低本底α、β计数器和γ谱仪测量了Gross α、β、40K、226Ra、232Th、137Cs。结果随着煮沸时间的延长,放射性核素的含量显著降低。鱼类、甲壳类、软体动物和藻类α-释放核素的平均保留率在煮沸5 min后分别降至64.47%、53.34%、84.12%和62.63%,煮沸40 min后分别降至15.46%、14.21%、71.94%和27.27%。鱼、甲壳类、软体动物和藻类中β-释放核素的平均保留率在5 min后分别降至64.89%、43.43%、66.55%和63.30%,在40 min后分别降至47.90%、29.01%、45.96%和53.24%。40K溶液溶解度损失最大,10 min后平均保留率为47.16%,226Ra和232Th溶液的保留率分别为87.86%和90.03%。结论沸煮可有效降低放射性核素含量,沸煮10 min可使承诺有效剂量(CED)降低44.6%,主要原因是40K的降低。还需要进行全面评估,以便将更多的放射性核素(210Po, 210Pb, 228Ra)纳入计算。
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引用次数: 0
Artificial intelligence in radiobiology: Bridging mechanisms and data analysis 放射生物学中的人工智能:桥接机制和数据分析
Q1 Health Professions Pub Date : 2025-12-01 DOI: 10.1016/j.radmp.2025.12.005
Yahe Wang , Wenfeng Li , Nanxin Xu , Dafei Xie , Xin Huang , Ping-Kun Zhou
The rapid development of artificial intelligence (AI) technology is profoundly transforming research paradigms in radiobiology. By integrating multimodal data, AI models have significantly enhanced both the efficiency and accuracy of elucidating complex radiobiological mechanisms and biomarker discovery. This review provides an in-depth examination of the critical roles of artificial intelligence in mechanism-based radiosensitivity prediction, biomarker discovery, and multi-dimensional data integration. It emphasizes the importance of interdisciplinary collaboration in bridging fundamental research and clinical practice, thereby broadening the scope of discussion. Advances in ethical regulatory frameworks and the accumulation of clinical validation evidence are jointly driving AI to become a key driver in radiobiology research. The review highlights how AI, by establishing a dynamic closed-loop connecting data, models, and mechanisms, enhances the precision, efficiency, and personalization of radiobiology research.
人工智能技术的快速发展正在深刻地改变着放射生物学的研究范式。通过整合多模态数据,人工智能模型显著提高了阐明复杂放射生物学机制和发现生物标志物的效率和准确性。这篇综述深入探讨了人工智能在基于机制的放射敏感性预测、生物标志物发现和多维数据集成中的关键作用。它强调跨学科合作在弥合基础研究和临床实践中的重要性,从而扩大了讨论的范围。伦理监管框架的进步和临床验证证据的积累共同推动人工智能成为放射生物学研究的关键驱动力。该综述强调了人工智能如何通过建立连接数据、模型和机制的动态闭环,提高放射生物学研究的精度、效率和个性化。
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引用次数: 0
Cross-species radioprotection: insights from tardigrade multi-omics 跨物种辐射防护:来自缓步动物多组学的见解
Q1 Health Professions Pub Date : 2025-12-01 DOI: 10.1016/j.radmp.2025.12.002
Hao Bai , Shuai Qu , Junlong Dai , Shuyu Zhang
Although the search for appropriate radiation countermeasures has been ongoing for decades, there remains a lack of safe and effective radioprotective pharmaceuticals for preventing, mitigating, or treating acute radiation syndrome (ARS) and other severe radiation injuries, and only a handful of drugs have been approved for clinical use with various side-effects. It has been increasingly recognized that valuable radiation countermeasures can be derived from Earth-based species exhibiting resistance to extremely high levels of ionizing radiation. In the pursuit of the mechanisms that govern radiosensitivity, a groundbreaking study in Science has delved into the radiation tolerance mechanisms of the tardigrade Hypsibius henanensis sp. nov., revealing cross-species radiation defense strategies by integrating genomics, transcriptomics, and proteomic. Three key findings emerged: The horizontal transfer of the 4,5-DOPA dioxygenase gene from bacteria enhanced antioxidant production. The tardigrade-specific protein TRID1 was crucial for DNA double-strand break repair through liquid-liquid separation. The up-regulation of mitochondrial function-related genes accelerated NAD+ regeneration for DNA damage repair. This multi-omics approach not only sheds light on the extraordinary survival strategies of radiotolerant species, but also opens a promising avenue for harnessing cross-species radiation tolerance to develop innovative radioprotective compounds.
虽然寻找适当的辐射对策已经进行了几十年,但仍然缺乏安全有效的辐射防护药物来预防、减轻或治疗急性辐射综合征(ARS)和其他严重的辐射损伤,只有少数药物被批准用于临床使用,但有各种副作用。人们日益认识到,可以从对极高水平电离辐射具有抵抗力的地球物种中获得有价值的辐射对策。在探索辐射敏感性机制的过程中,《科学》杂志上一项开创性的研究深入研究了缓步动物河南水熊虫(Hypsibius henanensis sp. nov.)的辐射耐受机制,通过整合基因组学、转录组学和蛋白质组学揭示了跨物种的辐射防御策略。三个关键发现出现了:4,5- dopa双加氧酶基因从细菌水平转移增强抗氧化剂的生产。水熊虫特异性蛋白TRID1是通过液-液分离修复DNA双链断裂的关键。线粒体功能相关基因的上调加速了NAD+再生对DNA损伤修复的作用。这种多组学方法不仅揭示了辐射耐受物种的特殊生存策略,而且为利用跨物种辐射耐受开发创新的辐射防护化合物开辟了一条有希望的途径。
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引用次数: 0
Radiotherapy for metastatic ductal adenocarcinoma of the prostate with TP53, FOXA1, and BRCA2 mutations: A case report 放疗治疗伴有TP53、FOXA1和BRCA2突变的转移性前列腺导管腺癌:1例报告
Q1 Health Professions Pub Date : 2025-12-01 DOI: 10.1016/j.radmp.2025.12.001
Xuanyu Qin , Hongzhen Li , Wei Yu , Shuai Hu , Xuhe Liao , Xin Qi

Objective

To report the multidisciplinary management and favorable outcome of a patient with metastatic Prostate ductal adenocarcinoma (PRAD) who harbors co-mutations in TP53, FOXA1, and BRCA2.

Methods

A 70-year-old man presented with dysuria and a high prostate specific antigen (PSA) level (74.58 ​ng/ml). Imaging revealed a large prostatic tumor with seminal vesicle invasion, lymph node involvement, and extensive bone metastases. Biopsy confirmed Gleason score 9 (4 ​+ ​5) adenocarcinoma with ductal and intraductal components. Genetic testing identified pathogenic mutations in TP53, FOXA1, and BRCA2. Initial treatment with androgen deprivation therapy (ADT) plus abiraterone and radical prostatectomy achieved biochemical response. However, he later developed symptomatic iliac bone metastasis with a sharply rising carcinoembryonic antigen (CEA) level despite undetectable PSA, prompting a biopsy that confirmed metastatic PRAD.

Results

The patient received stereotactic body radiation therapy (SBRT) to the metastatic iliac and vertebral lesions, delivering a radical biological effective dose (BED10 ​= ​117.6 ​Gy). This was followed by chemotherapy and subsequent maintenance therapy with the Poly (ADP-ribose) Polymerase (PARP) inhibitor olaparib combined with goserelin. The patient achieved sustained biochemical and radiographic remission with no disease progression at the 5-year follow-up.

Conclusions

This case highlights the aggressive nature of PRAD. The combination of high-dose SBRT and PARP inhibitor therapy, tailored to the patient's molecular profile, resulted in prolonged disease control. It underscores the importance of genetic testing and multidisciplinary precision therapy in managing advanced prostate cancer with rare histologic subtypes.
目的:报道一例携带TP53、FOXA1和BRCA2共突变的转移性前列腺导管腺癌(PRAD)患者的多学科治疗和良好的预后。方法70岁男性患者排尿困难,前列腺特异性抗原(PSA)水平高(74.58 ng/ml)。影像显示一个巨大的前列腺肿瘤,侵犯精囊,累及淋巴结,并有广泛的骨转移。活检证实Gleason评分为9(4 + 5),腺癌伴导管和导管内成分。基因检测确定了TP53、FOXA1和BRCA2的致病突变。初始治疗以雄激素剥夺疗法(ADT)加阿比特龙和根治性前列腺切除术获得生化反应。然而,他后来出现有症状的髂骨转移,癌胚抗原(CEA)水平急剧上升,尽管PSA未检测到,促使活检证实转移性PRAD。结果患者接受立体定向全身放射治疗(SBRT)转移髂和椎病变,给予根治性生物有效剂量(BED10 = 117.6 Gy)。随后进行化疗,随后使用聚(adp -核糖)聚合酶(PARP)抑制剂奥拉帕尼联合戈舍林进行维持治疗。患者在5年随访中获得持续的生化和放射学缓解,无疾病进展。结论本病例突出了PRAD的侵袭性。高剂量SBRT和PARP抑制剂治疗的结合,根据患者的分子特征量身定制,导致了长期的疾病控制。它强调了基因检测和多学科精确治疗在治疗具有罕见组织学亚型的晚期前列腺癌中的重要性。
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引用次数: 0
The influence of breast cancer susceptibility genes on radiotherapy efficacy and adverse toxicities 乳腺癌易感基因对放疗疗效及不良毒性的影响
Q1 Health Professions Pub Date : 2025-12-01 DOI: 10.1016/j.radmp.2025.12.003
Junjie Liao , Yangle Huang , Lufan Tang , Jiazuo Cai , Jing Guo , Bin Zhou , Shaoyang Chen , Jiqun Yi , Zhibo Tan
Breast cancer is a prevalent malignancy, with 5%–7% of cases hereditary, attributed to susceptibility gene mutations. Radiotherapy is vital in its treatment, but current guidelines lack consideration for genetic status. This review explored the relationships between breast cancer susceptibility genes such as BRCA1/2, CHEK2, ATM, etc. and radiotherapy efficacy and adverse toxicity. Findings showed that BRCA1/2 mutations do not change the therapeutic index of radiotherapy. The impact of CHEK2 mutations on radiotherapy remains uncertain. For ATM, radiotherapy may still be appropriate despite conflicting evidence on efficacy. PALB2 mutation carriers can receive standard adjuvant radiotherapy, while data on BARD1 and radiotherapy are scarce. RAD51 mutations may enhance radiotherapy efficacy with tissue-specific side effects. TP53 mutations are linked to poor radiotherapy outcomes and increased toxicity, suggesting caution in using radiotherapy for related patients. PTEN mutations may decrease tumor response to radiotherapy while increasing normal tissue toxicity. The roles NF1, CDH1, and STK11 play in breast cancer radiotherapy need to be further studied. In summary, breast cancer susceptibility genes exert heterogeneous effects on radiotherapy, underscoring the clinical significance of personalized treatment tailored to genetic profiles.
乳腺癌是一种常见的恶性肿瘤,5%-7%的病例是遗传性的,归因于易感基因突变。放射治疗在其治疗中至关重要,但目前的指南缺乏对遗传状况的考虑。本文就乳腺癌易感基因BRCA1/2、CHEK2、ATM等与放疗疗效及不良毒性的关系进行综述。结果显示BRCA1/2突变不改变放疗的治疗指标。CHEK2突变对放疗的影响尚不确定。对于ATM,放疗可能仍然是合适的,尽管关于疗效的证据相互矛盾。PALB2突变携带者可接受标准的辅助放疗,而BARD1和放疗的相关资料较少。RAD51突变可增强放疗效果,但有组织特异性副作用。TP53突变与放射治疗效果差和毒性增加有关,提示对相关患者使用放射治疗要谨慎。PTEN突变可能降低肿瘤对放疗的反应,同时增加正常组织的毒性。NF1、CDH1、STK11在乳腺癌放疗中的作用有待进一步研究。综上所述,乳腺癌易感基因对放疗的影响具有异质性,强调了根据基因谱进行个性化治疗的临床意义。
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引用次数: 0
Gap between knowledge and practice: A cross-sectional study on radiation protection among operating room staff in Zanjan Province, Iran 知识与实践之间的差距:伊朗赞詹省手术室工作人员辐射防护的横断面研究
Q1 Health Professions Pub Date : 2025-12-01 DOI: 10.1016/j.radmp.2025.11.002
Kianoosh Aghajany , Khadijeh Hajimiri , Hossein Chehre , Hamed Rezaeejam

Objective

To evaluate the knowledge, attitude, and practice (KAP) of operating room staff regarding radiation protection in hospitals affiliated with Zanjan University of Medical Sciences, Iran, and to identify demographic factors influencing their KAP scores.

Methods

This cross-sectional descriptive-analytic study was conducted from May 2022 to April 2023. It included 172 non-radiology-designated operating room personnel (including nurses, surgeons, anesthesiologists, anesthesia technicians, and operating room technicians) from six hospitals, achieving a response rate of 75%. Data were collected using a validated 32-item KAP questionnaire, comprising 10 items on knowledge, 7 on attitude, and 15 on practice. All items were rated on a 5-point Likert scale, and total scores were categorized as good, moderate, or poor.

Results

While 40.1% of participants demonstrated good knowledge and 87.2% exhibited a positive attitude, only 32.6 ​% reported good practices. Male staff had significantly higher knowledge scores than females (P ​< ​0.05), but no gender differences were observed in attitude/practice. Age and education level showed positive correlations with KAP scores (P ​< ​0.05), whereas work experience was not significantly associated with knowledge or practice.

Conclusion

Despite adequate awareness and positive attitude, practical adherence to radiation safety protocols among operating room staff remains insufficient. Targeted training programs and systematic monitoring are urgently needed to bridge this gap and enhance occupational safety in operating room settings.
目的了解伊朗赞詹医科大学附属医院手术室工作人员辐射防护知识、态度和行为(KAP)情况,并探讨影响其KAP得分的人口学因素。方法横断面描述性分析研究于2022年5月至2023年4月进行。调查对象为来自6家医院的172名非放射科定点手术室人员(包括护士、外科医生、麻醉师、麻醉技师和手术室技师),有效率为75%。本研究采用经验证的32项KAP问卷收集数据,其中10项为知识,7项为态度,15项为实践。所有项目都以5分的李克特量表进行评分,总分分为好、中、差。结果40.1%的参与者表现出良好的知识,87.2%的参与者表现出积极的态度,但只有32.6%的参与者表现出良好的实践。男性员工的知识得分显著高于女性(P < 0.05),但在态度/行为上无性别差异。年龄和教育程度与KAP得分呈正相关(P < 0.05),而工作经验与知识或实践无显著相关。结论尽管有足够的意识和积极的态度,但手术室工作人员对辐射安全规程的实际遵守程度仍然不足。迫切需要有针对性的培训计划和系统的监测来弥合这一差距,并加强手术室环境中的职业安全。
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引用次数: 0
A comparative analysis of setup accuracy between 6D and 3D treatment couches in radiotherapy for lung cancer with brain metastases 肺癌脑转移放疗中6D与3D治疗仪设置精度的比较分析
Q1 Health Professions Pub Date : 2025-12-01 DOI: 10.1016/j.radmp.2025.11.004
Wei Zhang, Shirui Qin, Lu Hou, Wenbo Zhang, Bofei Liu, Yingwei Wu, Kun Zhang, Fan Liu, Shiyu Wu, Fukui Huan, Wenyang Liu

Objective

To evaluate the accuracy of six-dimensional (6D) treatment couches in minimizing setup errors compared with three-dimensional (3D) treatment couches during radiotherapy for lung cancer patients with brain metastases.

Methods

A retrospective analysis was conducted on 40 lung cancer patients with brain metastases who received stereotactic radiotherapy (SRS/SRT) for brain metastases. The cohort was divided into two groups based on the availability of treatment units at the time of planning: 20 patients were treated using a 3D couch, and 20 patients with a 6D couch. Daily cone-beam computed tomography (CBCT) registration was used to measure residual setup errors in the x, y, and z axes at two key cranial anatomical landmarks, specifically the internal acoustic meatus (IAM) and crista galli (CG), for both groups. The Shapiro-Wilk test was applied to assess the normality of the data, and the Mann-Whitney U test was performed to determine statistical differences between the two groups, with Bonferroni correction for multiple comparisons.

Results

Baseline data indicated that the two groups were well-balanced in terms of gender, age, and distribution of pathological types, number of brain metastases, maximum metastases volume, and relative distance between metastases and isocenter (P ​> ​0.05). Setup error data in all directions (IAM_x/y/z, CG_x/y/z) did not follow a normal distribution (P ​< ​0.05). The Mann-Whitney U test revealed that setup errors in the 6D group were significantly smaller than those in the 3D group across all directions (IAM_x/y/z, CG_x/y/z, all P ​< ​0.001). The mean error reduction exceeded 1 ​mm in all directions, with the most significant difference observed in the CG_X direction: 2.2 (1.3, 3.3) mm in the 3D group versus 0.3 (0.2, 0.5) mm in the 6D group, representing a difference of 1.9 ​mm.

Conclusion

The six-dimensional (6D) treatment couch effectively minimizes residual setup errors, especially rotational ones, in radiotherapy for lung cancer patients with brain metastases.
目的评价六维(6D)治疗躺椅与三维(3D)治疗躺椅在肺癌脑转移患者放疗中减少设置误差的准确性。方法回顾性分析40例接受立体定向放疗(SRS/SRT)治疗的肺癌脑转移患者的临床资料。根据计划时治疗单位的可用性将队列分为两组:20名患者使用3D沙发治疗,20名患者使用6D沙发治疗。每日锥形束计算机断层扫描(CBCT)配准用于测量两组在两个关键颅骨解剖标志,特别是内声道(IAM)和冠状嵴(CG)上x、y和z轴的残余设置误差。采用Shapiro-Wilk检验评估数据的正态性,采用Mann-Whitney U检验确定两组间的统计学差异,多组比较采用Bonferroni校正。结果基线资料显示,两组患者在性别、年龄、病理类型分布、脑转移数量、最大转移体积、转移灶与等中心的相对距离等方面均比较均衡(P > 0.05)。各方向(IAM_x/y/z, CG_x/y/z)的设置误差数据不服从正态分布(P < 0.05)。Mann-Whitney U检验显示,6D组的设置误差在所有方向上都明显小于3D组(IAM_x/y/z, CG_x/y/z,所有P <; 0.001)。所有方向的平均误差减小均超过1 mm,其中CG_X方向的误差减小最为显著:3D组为2.2 (1.3,3.3)mm, 6D组为0.3 (0.2,0.5)mm,差异为1.9 mm。结论六维(6D)治疗床可有效减少肺癌脑转移患者放射治疗中的残留设置误差,特别是旋转设置误差。
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引用次数: 0
Expert consensus on technical and protection standards for digital chest X-ray examination in the Guangdong-Hong Kong-Macao Greater Bay area 粤港澳大湾区数字胸片检查技术及防护标准专家共识
Q1 Health Professions Pub Date : 2025-12-01 DOI: 10.1016/j.radmp.2025.11.001
Guangdong–Hong Kong–Macao Greater Bay Area Imaging Technology Alliance , Medical Imaging Technician Branch of Guangdong Medical Doctor Association
Digital chest radiography is a widely used modality for screening and diagnosing respiratory diseases. Within the GuangdongHong KongMacao Greater Bay Area, however, regional differences in equipment parameters, operating procedures, and radiation-protection standards have hindered medical collaboration, mutual recognition of results, and multicenter research. Meanwhile, although dynamic digital radiography (DDR) has been introduced into clinical practice, unified standards for image acquisition, functional evaluation, and radiation protection remain lacking. To address these challenges and promote high-quality integration of imaging services across the Greater Bay Area, there is an urgent need for a consensus that integrates both static and dynamic chest radiography while accommodating the regulatory frameworks and clinical practices of the three regions. The consensus establishes technical specifications, quality-control standards, and radiation-protection requirements applicable to both conventional and dynamic digital chest radiography. For the first time, it systematically integrates DDR acquisition under quiet breathing, forced breathing, and blood-flow sequences; defines methods for functional parameter extraction and clinical application scenarios; and provides BMI-stratified exposure recommendations with reference dose ranges. In addition, the consensus harmonizes relevant radiation-protection provisions from the Chinese Mainland, Hong Kong, China, and Macao, China, thereby forming a unified and actionable system for quality control and safety management.
数字胸片是一种广泛用于筛查和诊断呼吸系统疾病的方式。然而,在粤港澳大湾区内,设备参数、操作程序和辐射防护标准的区域差异阻碍了医疗合作、成果互认和多中心研究。同时,虽然动态数字放射照相(DDR)已被引入临床实践,但在图像采集、功能评估和辐射防护等方面仍缺乏统一的标准。为了应对这些挑战并促进大湾区影像服务的高质量整合,迫切需要在适应三个地区监管框架和临床实践的同时,将静态和动态胸部x线摄影结合起来。该共识建立了技术规范、质量控制标准和辐射防护要求,适用于传统和动态数字胸片。首次系统整合静息、强迫呼吸和血流序列下的DDR采集;定义功能参数提取方法和临床应用场景;并提供带有参考剂量范围的bmi分层暴露建议。此外,该共识还协调了中国内地、中国香港和中国澳门的有关辐射防护规定,从而形成了一个统一的、可操作的质量控制和安全管理体系。
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引用次数: 0
Empirical combination networks for head and neck organs at risk segmentation 头颈部危险器官分割的经验组合网络
Q1 Health Professions Pub Date : 2025-10-01 DOI: 10.1016/j.radmp.2025.09.004
Sijuan Huang , Yuda Lin , Yixuan Wang , Zhen Li , Yuliang Zhu , Bo Fang , Xiaoyan Huang , Xin Yang

Objective

To comprehensively evaluate popular medical segmentation networks on the CSTRO dataset for head and neck organs at risk (H&N OARs) segmentation, identify top performers, and integrate them into a robust hybrid network (Attention W-Net) for superior performance.

Methods

U-Net, Attention U-Net, R2U-Net, UNet-plusplus, and CE-Net were selected and two novel architectures W-Net and SE-U-Net were developed. Using U-Net as the baseline, a first-stage experiment was conducted to evaluate the segmentation performance of these networks. Following initial evaluations, Attention U-Net, SE-U-Net, and W-Net achieved notably strong performance. Representative blocks were identified and extracted from these three networks to construct three hybrid architectures: Attention W-Net, SEW-Net, and Attention SEU-Net. Subsequently, a second-stage experiment was conducted to determine the optimal hybrid architecture.

Results

In the first stage, U-Net, Attention U-Net, R2U-Net, UNet-plusplus, CE-Net, W-Net and SEU-Net were tested and achieved 0.712, 0.755, 0.706, 0.710, 0.702, 0.708, 0.767, 0.749 of average dice similarity coefficient (DSC), respectively. Then the best three networks Attention U-Net, SEU-Net, W-Net were selected out. The hybrid networks Attention W-Net, Attention SEU-Net, SEW-Net were tested, and achieved 0.776, 0.768, 0.743 of average (DSC), respectively. In terms of the metric, Attention W-Net is the most effective networks for H&N OAR segmentation.

Conclusion

The Attention W-Net and SEW-Net are the better networks which achieve better results than the popular state-of-the-arts networks for head and neck OARs segmentation.
目的在CSTRO数据集上对流行的头颈部危险器官(H&N OARs)分割网络进行综合评价,找出表现最好的网络,并将其整合到稳健的混合网络(Attention W-Net)中,以获得更好的性能。方法选择su - net、Attention U-Net、R2U-Net、unet -plus和CE-Net,开发出W-Net和SE-U-Net两种新型网络架构。以U-Net为基准,进行了第一阶段的实验,评估了这些网络的分割性能。在最初的评估之后,注意力U-Net、SE-U-Net和W-Net取得了显著的优异表现。从这三个网络中识别并提取具有代表性的块,构建了三个混合体系结构:注意力W-Net、注意力SEW-Net和注意力SEU-Net。随后,进行第二阶段实验,确定最优混合结构。结果第一阶段对U-Net、Attention U-Net、R2U-Net、UNet-plusplus、CE-Net、W-Net和SEU-Net进行测试,平均骰子相似系数(DSC)分别达到0.712、0.755、0.706、0.710、0.702、0.708、0.767、0.749。在此基础上,选出了注意力U-Net、SEU-Net、W-Net三种最佳网络。对混合网络Attention W-Net、Attention SEU-Net、SEW-Net进行测试,平均DSC值分别为0.776、0.768、0.743。在度量方面,注意W-Net是最有效的H&; OAR分割网络。结论注意W-Net和SEW-Net是较好的头颈部桨叶分割网络,其分割效果优于目前流行的最先进的网络。
{"title":"Empirical combination networks for head and neck organs at risk segmentation","authors":"Sijuan Huang ,&nbsp;Yuda Lin ,&nbsp;Yixuan Wang ,&nbsp;Zhen Li ,&nbsp;Yuliang Zhu ,&nbsp;Bo Fang ,&nbsp;Xiaoyan Huang ,&nbsp;Xin Yang","doi":"10.1016/j.radmp.2025.09.004","DOIUrl":"10.1016/j.radmp.2025.09.004","url":null,"abstract":"<div><h3>Objective</h3><div>To comprehensively evaluate popular medical segmentation networks on the CSTRO dataset for head and neck organs at risk (H&amp;N OARs) segmentation, identify top performers, and integrate them into a robust hybrid network (Attention W-Net) for superior performance.</div></div><div><h3>Methods</h3><div>U-Net, Attention U-Net, R2U-Net, UNet-plusplus, and CE-Net were selected and two novel architectures W-Net and SE-U-Net were developed. Using U-Net as the baseline, a first-stage experiment was conducted to evaluate the segmentation performance of these networks. Following initial evaluations, Attention U-Net, SE-U-Net, and W-Net achieved notably strong performance. Representative blocks were identified and extracted from these three networks to construct three hybrid architectures: Attention W-Net, SEW-Net, and Attention SEU-Net. Subsequently, a second-stage experiment was conducted to determine the optimal hybrid architecture.</div></div><div><h3>Results</h3><div>In the first stage, U-Net, Attention U-Net, R2U-Net, UNet-plusplus, CE-Net, W-Net and SEU-Net were tested and achieved 0.712, 0.755, 0.706, 0.710, 0.702, 0.708, 0.767, 0.749 of average dice similarity coefficient (DSC), respectively. Then the best three networks Attention U-Net, SEU-Net, W-Net were selected out. The hybrid networks Attention W-Net, Attention SEU-Net, SEW-Net were tested, and achieved 0.776, 0.768, 0.743 of average (DSC), respectively. In terms of the metric, Attention W-Net is the most effective networks for H&amp;N OAR segmentation.</div></div><div><h3>Conclusion</h3><div>The Attention W-Net and SEW-Net are the better networks which achieve better results than the popular state-of-the-arts networks for head and neck OARs segmentation.</div></div>","PeriodicalId":34051,"journal":{"name":"Radiation Medicine and Protection","volume":"6 5","pages":"Pages 273-283"},"PeriodicalIF":0.0,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145340616","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}
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Radiation Medicine and Protection
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