Developing a PET Volumetric Staging System for NSCLC: a Complement to TNM Staging

开发 NSCLC 的 PET 容积分期系统:TNM 分期的补充

基本信息

  • 批准号:
    8930933
  • 负责人:
  • 金额:
    $ 17.08万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2014
  • 资助国家:
    美国
  • 起止时间:
    2014-09-22 至 2018-02-28
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Currently, treatment and prognostic assessment for non-small cell lung cancer (NSCLC) depend primarily on the UICC/AJCC TNM (tumor, node, and metastasis) staging system. Modern 18F-FDG PET/CT plays an important role in the diagnosis, staging, and restaging of patients with NSCLC and provides three-dimensional (3D) metabolic and volumetric image data. However, the TNM staging system, based on surgical resectability of the tumor, has no mechanism to incorporate tumor volumetric data. Recently, we and other groups have found that baseline metabolic tumor burden (MTB) is a prognostic indicator of survival and is better than tumor standardized uptake value (SUV) measurement, in both surgically and non-surgically treated NSCLC patients, after adjusting for TNM stage, tumor SUV, and other clinical prognostic indicators including age, gender, performance status, treatment type, and tumor histology. Measurement of MTB on PET/CT is practical and reproducible with low inter-observer variability-with a mean concordance correlation coefficient greater than 0.94. It takes about 3.6 minutes to measure whole-body MTBs in each surgically treated patient with reference of clinical PET/CT and CT reports based our retrospective study. However, despite these promising findings, there is currently no effective method to incorporate MTB measurement into the TNM staging system or clinical management of NSCLC patients. To that end, we propose to develop a PET/CT-based volumetric prognostic (PVP) staging system that combines MTB measurements and the current TNM staging system for better prognostication in NSCLC. We propose two specific aims: (1) to develop a new PET/CT-based PVP staging system for NSCLC by developing two different competing mathematical models, and (2) to validate the novel PVP staging system with new datasets of patients from different institutions. Our long-term objective is to synergize the prognostic value of the current TNM staging system and volumetric MTB measurement. The public health significance is expected in the following three areas: 1) to improve patient treatment selection in NSCLC by providing more accurate tumor staging and risk- stratification, 2) to assist clinicians and patients by providing more accurate prognostic assessment, and 3) to help better define patient selection criteria in clinical trials. The innovations of the proposal include the following: 1) the proposed new PET/CT-based PVP staging system for more accurate prognostication in NSCLC is innovative; 2) making use of 3D volumetric and metabolic data from PET/CT for NSCLC staging is innovative; and 3) making NSCLC staging more quantitative with the PVP staging system is innovative.
描述(由申请人提供):目前,非小细胞肺癌(NSCLC)的治疗和预后评估主要取决于UICC/AJCC TNM(肿瘤、淋巴结和转移)分期系统。现代18F-FDG PET/CT在NSCLC患者的诊断、分期和再分期中发挥重要作用,并提供三维(3D)代谢和体积图像数据。 然而,TNM分期系统,基于手术切除肿瘤,没有机制,纳入肿瘤体积数据。最近,我们和其他研究小组发现,在手术和非手术治疗的NSCLC患者中,在调整TNM分期、肿瘤SUV和其他临床预后指标(包括年龄、性别、体力状态、治疗类型和肿瘤组织学)后,基线代谢肿瘤负荷(MTB)是生存的预后指标,优于肿瘤标准化摄取值(SUV)测量。PET/CT上MTB的测量是实用的,可重复的,观察者间变异性低,平均一致性相关系数大于0.94。根据我们的回顾性研究,参考临床PET/CT和CT报告,测量每个手术治疗患者的全身MTB需要约3.6分钟。然而,尽管有这些有希望的发现,目前还没有有效的方法将MTB测量纳入TNM分期系统或NSCLC患者的临床管理。为此,我们建议开发一种基于PET/CT的体积预后(PVP)分期系统,该系统结合了MTB测量和当前的TNM分期系统,以更好地预测NSCLC。我们提出两个具体目标:(1)通过开发两种不同的竞争数学模型,开发一种新的基于PET/CT的NSCLC PVP分期系统,(2)使用来自不同机构的新患者数据集验证新型PVP分期系统。 我们的长期目标是协同目前的TNM分期系统和体积MTB测量的预后价值。预计在以下三个方面具有公共卫生意义:1)通过提供更准确的肿瘤分期和风险分层来改善NSCLC患者的治疗选择,2)通过提供更准确的预后评估来帮助临床医生和患者,以及3)帮助更好地定义临床试验中的患者选择标准。 该提案的创新包括以下内容:1)提出的新的基于PET/CT的PVP分期系统用于NSCLC的更准确分期是创新的; 2)利用PET/CT的3D体积和代谢数据进行NSCLC分期是创新的; 3)使用PVP分期系统使NSCLC分期更加定量是创新的。

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Developing a clinical and PET/CT volumetric prognostic index for risk assessment and management of NSCLC patients after initial therapy.
  • DOI:
    10.31083/j.fbl2701016
  • 发表时间:
    2022-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Liu Liu-Liu;Jingmian Zhang;M. Ferguson;D. Appelbaum;James X Zhang;Y. Pu
  • 通讯作者:
    Liu Liu-Liu;Jingmian Zhang;M. Ferguson;D. Appelbaum;James X Zhang;Y. Pu
Quantification of metabolic tumor activity and burden in patients with non-small-cell lung cancer: Is manual adjustment of semiautomatic gradient-based measurements necessary?
  • DOI:
    10.1097/mnm.0000000000000317
  • 发表时间:
    2015-08-01
  • 期刊:
  • 影响因子:
    1.5
  • 作者:
    Obara, Piotr;Liu, Haiping;Pu, Yonglin
  • 通讯作者:
    Pu, Yonglin
Developing and validating a novel metabolic tumor volume risk stratification system for supplementing non-small cell lung cancer staging.
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Yulei Jiang其他文献

Yulei Jiang的其他文献

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{{ truncateString('Yulei Jiang', 18)}}的其他基金

Developing a PET Volumetric Staging System for NSCLC: a Complement to TNM Staging
开发 NSCLC 的 PET 容积分期系统:TNM 分期的补充
  • 批准号:
    8758482
  • 财政年份:
    2014
  • 资助金额:
    $ 17.08万
  • 项目类别:
Computer-Aided Analysis of Histopathology Images of Prostate Cancer
前列腺癌组织病理学图像的计算机辅助分析
  • 批准号:
    7258106
  • 财政年份:
    2007
  • 资助金额:
    $ 17.08万
  • 项目类别:
Computer-Aided Analysis of Histopathology Images of Prostate Cancer
前列腺癌组织病理学图像的计算机辅助分析
  • 批准号:
    7446099
  • 财政年份:
    2007
  • 资助金额:
    $ 17.08万
  • 项目类别:
Neural Network Prediction of Prostate Cancer Progression
前列腺癌进展的神经网络预测
  • 批准号:
    6603799
  • 财政年份:
    2002
  • 资助金额:
    $ 17.08万
  • 项目类别:
Computer-Aided Diagnosis of Breast Lesions in Mammograms
乳房 X 光检查中乳腺病变的计算机辅助诊断
  • 批准号:
    8082772
  • 财政年份:
    2002
  • 资助金额:
    $ 17.08万
  • 项目类别:
Computer-Aided Diagnosis of Breast Lesions in Mammograms
乳房 X 光检查中乳腺病变的计算机辅助诊断
  • 批准号:
    7842671
  • 财政年份:
    2002
  • 资助金额:
    $ 17.08万
  • 项目类别:
Computer-Aided Diagnosis of Breast Lesions in Mammograms
乳房 X 光检查中乳腺病变的计算机辅助诊断
  • 批准号:
    6477760
  • 财政年份:
    2002
  • 资助金额:
    $ 17.08万
  • 项目类别:
Computer-Aided Diagnosis of Breast Lesions in Mammograms
乳房 X 光检查中乳腺病变的计算机辅助诊断
  • 批准号:
    7027000
  • 财政年份:
    2002
  • 资助金额:
    $ 17.08万
  • 项目类别:
Computer-Aided Diagnosis of Breast Lesions in Mammograms
乳房 X 光检查中乳腺病变的计算机辅助诊断
  • 批准号:
    8507606
  • 财政年份:
    2002
  • 资助金额:
    $ 17.08万
  • 项目类别:
Computer-Aided Diagnosis of Breast Lesions in Mammograms
乳房 X 光检查中乳腺病变的计算机辅助诊断
  • 批准号:
    7580691
  • 财政年份:
    2002
  • 资助金额:
    $ 17.08万
  • 项目类别:

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