Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to Establish Objective Clinical Outcome Measures for Mandibular Osteoradionecrosis

使用动态对比增强磁共振成像 (DCE-MRI) 建立下颌放射性骨坏死的客观临床结果测量

基本信息

  • 批准号:
    9247170
  • 负责人:
  • 金额:
    $ 65.73万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-04-01 至 2021-03-31
  • 项目状态:
    已结题

项目摘要

 DESCRIPTION (provided by applicant): Changes in the epidemiology of head and neck cancers have resulted in an increasing number of younger and healthier patients being treated with definitive external beam radiotherapy (EBRT). The long-term sequelae of radiotherapy in a patient population with good clinical outcomes and extended life expectancy are becoming increasingly relevant in the management of treatment-associated morbidity and mortality. Osteoradionecrosis (ORN) of the mandible is a challenging issue related to irradiation, occurring in up to 16% of patients with various types of head and neck cancers. Altered bone vascularity and opportunistic infections within the oral cavity contribute to the development of ORN, leading to an inexorable process of bone destruction that does not follow the normal sequence of healing events. Early-stage ORN is often managed using antibiotics, local wound care, and hyperbaric oxygen (HBO). Advanced ORN requires surgical resection and reconstruction with healthy non-irradiated tissue. Successful management of this disease process requires an enhanced ability to identify patients at risk for ORN, monitor the effectiveness of conservative management, and improve preoperative planning to ensure clear margins at the time of resection. However, a standardized, objective staging and monitoring system for ORN is not currently available. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a clinically available quantitative imaging method that is increasingly employed to assess microvascular function in the study of solid tumors of the head and neck. At our institution, DCE-MRI is integrated into a multimodality clinical algorithm aimed at improving the diagnosis, staging, and oncologic surveillance of head and neck tumors. DCE-MRI can detect altered bone vascularity associated with bone healing, necrosis and metastatic involvement, with excellent spatial resolution. We hypothesize that DCE-MRI can be used to detect alterations in bone vascularity following irradiation to monitor ORN clinical progression and response to treatment. To test this hypothesis, we will evaluate the potential of DCE-MRI to identify patients at risk for mandibular ORN, monitor response to conservative management, and determine the extent of advanced mandibular ORN to assist in surgical planning. Successful completion of this proposal has the potential to revolutionize the diagnosis and management of mandibular ORN. For the first time, clinicians will be able to identify patients at risk for ORN and manage post-radiotherapy care appropriately. The effectiveness of currently employed conservative measures could be tested using an objective measure and improved preoperative planning could reduce the rate of surgical failure due to residual compromised bone.
 描述(由申请人提供):头颈癌流行病学的变化导致越来越多的年轻且健康的患者接受根治性外照射放疗(EBRT)治疗。良好的临床结果和延长的预期寿命在治疗相关的发病率和死亡率方面变得越来越重要,下颌骨放射性骨坏死(ORN)是与照射相关的一个具有挑战性的问题。高达 16% 的各种头颈癌患者中,骨血管分布改变和口腔内机会性感染会导致 ORN 的发生,从而导致骨破坏的不可避免的过程,不遵循正常的愈合顺序。早期 ORN 通常使用抗生素、局部伤口护理和高压氧 (HBO) 进行治疗,晚期 ORN 需要手术切除并用健康的未照射组织进行重建。增强识别 ORN 风险患者、监测保守治疗有效性并改进术前计划以确保切除时清晰切缘的能力。然而,目前尚无标准化、客观的 ORN 分期和监测系统。对比增强磁共振成像 (DCE-MRI) 是一种临床可用的定量成像方法,越来越多地用于评估头颈部实体瘤研究中的微血管功能。在我们的机构,DCE-MRI 已集成到多模态中。临床算法旨在改善头颈部肿瘤的诊断、分期和肿瘤学监测,可以检测与骨愈合、坏死和转移相关的骨血管变化,并且具有出色的空间分辨率。为了检验这一假设,我们将评估 DCE-MRI 识别有风险的患者的潜力。 下颌 ORN,监测保守治疗的反应,并确定晚期下颌 ORN 的范围,以协助手术计划。该提案的成功完成有可能彻底改变下颌 ORN 的诊断和治疗。识别有 ORN 风险的患者并管理放射治疗后护理 可以使用客观措施来测试当前采用的适当保守措施的有效性,并且改进的术前计划可以降低由于残留受损骨而导致的手术失败率。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

STEPHEN Y LAI其他文献

STEPHEN Y LAI的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('STEPHEN Y LAI', 18)}}的其他基金

Development of miR-27a* for the Treatment of Head and Neck Squamous Cell Carcinoma
开发 miR-27a* 用于治疗头颈鳞状细胞癌
  • 批准号:
    10752726
  • 财政年份:
    2023
  • 资助金额:
    $ 65.73万
  • 项目类别:
Quantification of cisplatin sensitivity and resistance using metabolic imaging and circulating tumor cell (CTC) biomarkers
使用代谢成像和循环肿瘤细胞 (CTC) 生物标志物量化顺铂敏感性和耐药性
  • 批准号:
    10707179
  • 财政年份:
    2022
  • 资助金额:
    $ 65.73万
  • 项目类别:
Radiosensitization of thyroid cancer by cancer cell specific reduction of gold ions
癌细胞特异性还原金离子对甲状腺癌的放射增敏作用
  • 批准号:
    10569671
  • 财政年份:
    2022
  • 资助金额:
    $ 65.73万
  • 项目类别:
Quantification of cisplatin sensitivity and resistance using metabolic imaging and circulating tumor cell (CTC) biomarkers
使用代谢成像和循环肿瘤细胞 (CTC) 生物标志物量化顺铂敏感性和耐药性
  • 批准号:
    10518179
  • 财政年份:
    2022
  • 资助金额:
    $ 65.73万
  • 项目类别:
Radiosensitization of thyroid cancer by cancer cell specific reduction of gold ions
癌细胞特异性还原金离子对甲状腺癌的放射增敏作用
  • 批准号:
    10372483
  • 财政年份:
    2022
  • 资助金额:
    $ 65.73万
  • 项目类别:
Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to Establish Objective Clinical Outcome Measures for Mandibular Osteoradionecrosis
使用动态对比增强磁共振成像 (DCE-MRI) 建立下颌放射性骨坏死的客观临床结果测量
  • 批准号:
    10086515
  • 财政年份:
    2016
  • 资助金额:
    $ 65.73万
  • 项目类别:
Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to Establish Objective Clinical Outcome Measures for Mandibular Osteoradionecrosis
使用动态对比增强磁共振成像 (DCE-MRI) 建立下颌放射性骨坏死的客观临床结果测量
  • 批准号:
    9894640
  • 财政年份:
    2016
  • 资助金额:
    $ 65.73万
  • 项目类别:
Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to Establish Objective Clinical Outcome Measures for Mandibular Osteoradionecrosis
使用动态对比增强磁共振成像 (DCE-MRI) 建立下颌放射性骨坏死的客观临床结果测量
  • 批准号:
    9135823
  • 财政年份:
    2015
  • 资助金额:
    $ 65.73万
  • 项目类别:
Optimizing Radiosensitization in Anaplastic Thyroid Cancer with Metabolic Imaging
通过代谢成像优化甲状腺未分化癌的放射增敏
  • 批准号:
    8879068
  • 财政年份:
    2014
  • 资助金额:
    $ 65.73万
  • 项目类别:
Regulation of Invasion and Metastasis by HIF-1 Oral Squamous Cell Carcinoma
HIF-1对口腔鳞状细胞癌侵袭和转移的调控
  • 批准号:
    7183886
  • 财政年份:
    2006
  • 资助金额:
    $ 65.73万
  • 项目类别:

相似国自然基金

基于肿瘤病理图片的靶向药物敏感生物标志物识别及统计算法的研究
  • 批准号:
    82304250
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
多模态高层语义驱动的深度伪造检测算法研究
  • 批准号:
    62306090
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
高精度海表反照率遥感算法研究
  • 批准号:
    42376173
  • 批准年份:
    2023
  • 资助金额:
    51 万元
  • 项目类别:
    面上项目
基于新型深度学习算法和多组学研究策略鉴定非编码区剪接突变在肌萎缩侧索硬化症中的分子机制
  • 批准号:
    82371878
  • 批准年份:
    2023
  • 资助金额:
    49 万元
  • 项目类别:
    面上项目
基于深度学习与水平集方法的心脏MR图像精准分割算法研究
  • 批准号:
    62371156
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目

相似海外基金

Leveraging Molecular Technologies to Improve Diagnosis and Management of Pediatric Acute Respiratory Illness in Resource-Constrained Settings
利用分子技术改善资源有限环境中儿科急性呼吸系统疾病的诊断和管理
  • 批准号:
    10739603
  • 财政年份:
    2023
  • 资助金额:
    $ 65.73万
  • 项目类别:
Scalable and Interoperable framework for a clinically diverse and generalizable sepsis Biorepository using Electronic alerts for Recruitment driven by Artificial Intelligence (short title: SIBER-AI)
使用人工智能驱动的招募电子警报的临床多样化和通用脓毒症生物库的可扩展和可互操作框架(简称:SIBER-AI)
  • 批准号:
    10576015
  • 财政年份:
    2023
  • 资助金额:
    $ 65.73万
  • 项目类别:
Leveraging pandemic practice changes to optimize evidence-based pneumonia care
利用大流行实践的变化来优化基于证据的肺炎护理
  • 批准号:
    10640043
  • 财政年份:
    2023
  • 资助金额:
    $ 65.73万
  • 项目类别:
Identifying patient subgroups and processes of care that cause outcome differences following ICU vs. ward triage among patients with acute respiratory failure and sepsis
确定急性呼吸衰竭和脓毒症患者在 ICU 与病房分诊后导致结局差异的患者亚组和护理流程
  • 批准号:
    10734357
  • 财政年份:
    2023
  • 资助金额:
    $ 65.73万
  • 项目类别:
Computer-assisted diagnosis of ear pathologies by combining digital otoscopy with complementary data using machine learning
通过使用机器学习将数字耳镜与补充数据相结合来计算机辅助诊断耳部病变
  • 批准号:
    10564534
  • 财政年份:
    2023
  • 资助金额:
    $ 65.73万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了