Functional Infrared Imaging Predicts Radiation Mucositis

功能红外成像预测放射性粘膜炎

基本信息

  • 批准号:
    7490025
  • 负责人:
  • 金额:
    $ 17.13万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-09-01 至 2010-08-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Many patients with locally advanced head and neck cancer (HNC) will be treated with curative intent chemoradiotherapy (CRT). This approach has been validated in several randomized trials and is an accepted standard of care. CRT has associated toxicity including almost universal mucositis in the radiation field. The severity of toxicity, however, varies widely with some patients experiencing only mild symptoms while others require narcotic analgesia, enteral nutrition, and interruption of therapy. Radiotherapy volumes will be predictive of the location of adverse effects but not the degree. At this time, there are no modalities that allow accurate prediction of CRT induced toxicity in HNC patients. Tissue injury induced by CRT results in regional temperature variations that can be detected by infrared (IR) imaging. Argonne National Laboratory has developed a compact computer-piloted high sensitivity IR imager with special signal detection algorithms that would allow detection of small temperature variations with little background noise. We hypothesize that alterations in thermal intensity early in therapy will be predictive of patients who will develop severe mucocutaneous toxicity. Detection of these early changes by IR imaging would identify a group of patients that will require more intensive supportive care and who may be candidates for de-intensification of therapy to avoid serious toxicity. The majority of patients with head and neck cancer will be treated with combination chemotherapy and radiotherapy and will suffer acute toxicity in the form of oral mucositis. However, there is no way to predict which patients will develop severe mucositis during therapy that often requires treatment interruption, dose reduction, narcotic analgesia, and tube feeding. We hypothesize that thermal imaging will confer the ability to predict which patients are at risk for this complication and would subsequently allow for early intervention and prevention. Such a tool would have wide applicability in this patient population and would have tremendous impact on their treatment.
描述(由申请方提供):许多局部晚期头颈癌(HNC)患者将接受根治性放化疗(CRT)治疗。这种方法已在几项随机试验中得到验证,是一种公认的护理标准。CRT具有相关的毒性,包括辐射场中几乎普遍的粘膜炎。然而,毒性的严重程度差异很大,有些患者仅出现轻度症状,而另一些患者则需要麻醉镇痛、肠内营养和中断治疗。放射治疗体积将预测不良反应的位置,但不能预测不良反应的程度。目前,还没有方法可以准确预测HNC患者中CRT诱导的毒性。由CRT引起的组织损伤导致可以通过红外(IR)成像检测到的区域温度变化。阿贡国家实验室开发了一种紧凑的计算机驾驶的高灵敏度红外成像仪,具有特殊的信号检测算法,可以在几乎没有背景噪声的情况下检测微小的温度变化。我们假设,治疗早期热强度的改变将预示着患者将出现严重的皮肤粘膜毒性。通过IR成像检测这些早期变化将识别一组需要更强化支持治疗的患者,这些患者可能是去强化治疗以避免严重毒性的候选人。大多数头颈癌患者将接受联合化疗和放疗,并将遭受口腔粘膜炎形式的急性毒性。然而,没有办法预测哪些患者在治疗期间会发生严重的粘膜炎,这通常需要中断治疗、减少剂量、麻醉镇痛和管饲。我们假设,热成像将赋予预测哪些患者有这种并发症的风险,并随后允许早期干预和预防的能力。这种工具将在该患者群体中具有广泛的适用性,并将对他们的治疗产生巨大的影响。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
A broadband imaging system for research applications.
用于研究应用的宽带成像系统。
  • DOI:
    10.1063/1.3124796
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yefremenko,V;Gordiyenko,E;Shustakova,G;Fomenko,Yu;Datesman,A;Wang,G;Pearson,J;Cohen,EEW;Novosad,V
  • 通讯作者:
    Novosad,V
{{ 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 }}

Ezra Cohen其他文献

Ezra Cohen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('Ezra Cohen', 18)}}的其他基金

Co-targeting the HER3 oncogenic signaling circuitry and PD-1 as a novel multimodal precision immunotherapy for HNSCC
联合靶向 HER3 致癌信号通路和 PD-1 作为 HNSCC 的新型多模式精准免疫疗法
  • 批准号:
    10061585
  • 财政年份:
    2019
  • 资助金额:
    $ 17.13万
  • 项目类别:
Co-targeting the HER3 oncogenic signaling circuitry and PD-1 as a novel multimodal precision immunotherapy for HNSCC
联合靶向 HER3 致癌信号通路和 PD-1 作为 HNSCC 的新型多模式精准免疫疗法
  • 批准号:
    10304190
  • 财政年份:
    2019
  • 资助金额:
    $ 17.13万
  • 项目类别:
Co-targeting the HER3 oncogenic signaling circuitry and PD-1 as a novel multimodal precision immunotherapy for HNSCC
联合靶向 HER3 致癌信号通路和 PD-1 作为 HNSCC 的新型多模式精准免疫疗法
  • 批准号:
    9917561
  • 财政年份:
    2019
  • 资助金额:
    $ 17.13万
  • 项目类别:
Therapeutic Targeting of Macrophage PI3Kgamma in HNSCC
HNSCC 中巨噬细胞 PI3Kgamma 的治疗靶向
  • 批准号:
    9899741
  • 财政年份:
    2018
  • 资助金额:
    $ 17.13万
  • 项目类别:
A Rational Systematic Approach to Find Combinations of Pharmacologic and Immune Therapies that Target Identifiable Oncogenic States
寻找针对可识别致癌状态的药物和免疫疗法组合的合理系统方法
  • 批准号:
    9363695
  • 财政年份:
    2017
  • 资助金额:
    $ 17.13万
  • 项目类别:
A Rational Systematic Approach to Find Combinations of Pharmacologic and Immune Therapies that Target Identifiable Oncogenic States
寻找针对可识别致癌状态的药物和免疫疗法组合的合理系统方法
  • 批准号:
    10004824
  • 财政年份:
    2017
  • 资助金额:
    $ 17.13万
  • 项目类别:
A Rational Systematic Approach to Find Combinations of Pharmacologic and Immune Therapies that Target Identifiable Oncogenic States
寻找针对可识别致癌状态的药物和免疫疗法组合的合理系统方法
  • 批准号:
    10226232
  • 财政年份:
    2017
  • 资助金额:
    $ 17.13万
  • 项目类别:
A Rational Systematic Approach to Find Combinations of Pharmacologic and Immune Therapies that Target Identifiable Oncogenic States
寻找针对可识别致癌状态的药物和免疫疗法组合的合理系统方法
  • 批准号:
    9751822
  • 财政年份:
    2017
  • 资助金额:
    $ 17.13万
  • 项目类别:
A Rational Systematic Approach to Find Combinations of Pharmacologic and Immune Therapies that Target Identifiable Oncogenic States
寻找针对可识别致癌状态的药物和免疫疗法组合的合理系统方法
  • 批准号:
    10016089
  • 财政年份:
    2017
  • 资助金额:
    $ 17.13万
  • 项目类别:
Maximizing Efficacy of EGFR Inhibitors by Defining Resistance Mechanisms
通过定义耐药机制最大化 EGFR 抑制剂的功效
  • 批准号:
    8530212
  • 财政年份:
    2012
  • 资助金额:
    $ 17.13万
  • 项目类别:

相似海外基金

Transcriptional assessment of haematopoietic differentiation to risk-stratify acute lymphoblastic leukaemia
造血分化的转录评估对急性淋巴细胞白血病的风险分层
  • 批准号:
    MR/Y009568/1
  • 财政年份:
    2024
  • 资助金额:
    $ 17.13万
  • 项目类别:
    Fellowship
Combining two unique AI platforms for the discovery of novel genetic therapeutic targets & preclinical validation of synthetic biomolecules to treat Acute myeloid leukaemia (AML).
结合两个独特的人工智能平台来发现新的基因治疗靶点
  • 批准号:
    10090332
  • 财政年份:
    2024
  • 资助金额:
    $ 17.13万
  • 项目类别:
    Collaborative R&D
Acute senescence: a novel host defence counteracting typhoidal Salmonella
急性衰老:对抗伤寒沙门氏菌的新型宿主防御
  • 批准号:
    MR/X02329X/1
  • 财政年份:
    2024
  • 资助金额:
    $ 17.13万
  • 项目类别:
    Fellowship
Cellular Neuroinflammation in Acute Brain Injury
急性脑损伤中的细胞神经炎症
  • 批准号:
    MR/X021882/1
  • 财政年份:
    2024
  • 资助金额:
    $ 17.13万
  • 项目类别:
    Research Grant
KAT2A PROTACs targetting the differentiation of blasts and leukemic stem cells for the treatment of Acute Myeloid Leukaemia
KAT2A PROTAC 靶向原始细胞和白血病干细胞的分化,用于治疗急性髓系白血病
  • 批准号:
    MR/X029557/1
  • 财政年份:
    2024
  • 资助金额:
    $ 17.13万
  • 项目类别:
    Research Grant
Combining Mechanistic Modelling with Machine Learning for Diagnosis of Acute Respiratory Distress Syndrome
机械建模与机器学习相结合诊断急性呼吸窘迫综合征
  • 批准号:
    EP/Y003527/1
  • 财政年份:
    2024
  • 资助金额:
    $ 17.13万
  • 项目类别:
    Research Grant
FITEAML: Functional Interrogation of Transposable Elements in Acute Myeloid Leukaemia
FITEAML:急性髓系白血病转座元件的功能研究
  • 批准号:
    EP/Y030338/1
  • 财政年份:
    2024
  • 资助金额:
    $ 17.13万
  • 项目类别:
    Research Grant
STTR Phase I: Non-invasive focused ultrasound treatment to modulate the immune system for acute and chronic kidney rejection
STTR 第一期:非侵入性聚焦超声治疗调节免疫系统以治疗急性和慢性肾排斥
  • 批准号:
    2312694
  • 财政年份:
    2024
  • 资助金额:
    $ 17.13万
  • 项目类别:
    Standard Grant
ロボット支援肝切除術は真に低侵襲なのか?acute phaseに着目して
机器人辅助肝切除术真的是微创吗?
  • 批准号:
    24K19395
  • 财政年份:
    2024
  • 资助金额:
    $ 17.13万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Acute human gingivitis systems biology
人类急性牙龈炎系统生物学
  • 批准号:
    484000
  • 财政年份:
    2023
  • 资助金额:
    $ 17.13万
  • 项目类别:
    Operating Grants
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了