胰腺神经内分泌肿瘤的CT影像组学特征
The aim of this study is to quantify inter-observer variability in delineating pancreatic neuroendocrine neoplasm (PanNEN) on Computerized Tomography (CT) images and its impact on radiomic features (RF), subsequently to this determination, to use CT texture analysis to predict, histological characteristics of PanNEN on CT scans.
研究概览
详细说明
CT imaging is the most widely used modality for studying radiomic features due to its ability to assess tissue density, shape, texture and size before, during and after therapy. To the best of the investigator's knowledge, the impact of inter-observer delineation variability on the reliability of CT RF for PanNEN patients, including Hounsfield unit (HU) values-, shape-, and texture-based features, has not yet been assessed. One this has been determined, an additional evaluation will be conducted to correlate the morphologically observed images with their histopathological characteristics.
The ultimate potential objective of this research is to identify and predict characteristics of aggressiveness of PanNEN in CT scans.
研究类型
注册 (实际的)
联系人和位置
学习地点
-
-
-
Milan、意大利、20132
- Deaprtment of Radiology, IRCCS Ospadale San Raffaele
-
Milan、意大利、20153
- IRCCS Ospedale San Raffaele
-
-
参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
取样方法
研究人群
Monocentric, retrospective, observational study. Subjects who fulfill the inclusion criteria will be randomly chosen from our Institutional data-base. Thirty patients will be used to evaluate inter-observer variability and forty patients will be used to evaluate histological characteristics on CT-scans with and without contrast agent).
Imaged based and clinical variables will be used to construct an overall status of the patient.
描述
Inclusion Criteria:
- > 18 years of age
- pancreatic neuroendocrine neoplasm with intervention and biopsy
- availability of pre-operatory CT scan with or without IV contrast agent- inInstitution from 2009-2017
Exclusion Criteria:
- pregnant women
学习计划
研究是如何设计的？
设计细节
- 观测模型：OTHER
- 时间观点：RETROSPECTIVE
研究衡量的是什么？
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Interobserver variability in delineating panNENs on CT
大体时间：6 months
|
Asses inter-observer variability on CT- scans (with contrast alone) |
6 months
|
次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Use CT texture analysis to predict, histological characteristics of PanNEN on CT scans
大体时间：6 months
|
Evaluate histological characteristics on CT-scans with and without contrast agent in a group of subjects |
6 months
|
合作者和调查者
出版物和有用的链接
一般刊物
- Belli ML, Mori M, Broggi S, Cattaneo GM, Bettinardi V, Dell'Oca I, Fallanca F, Passoni P, Vanoli EG, Calandrino R, Di Muzio N, Picchio M, Fiorino C. Quantifying the robustness of [18F]FDG-PET/CT radiomic features with respect to tumor delineation in head and neck and pancreatic cancer patients. Phys Med. 2018 May;49:105-111. doi: 10.1016/j.ejmp.2018.05.013. Epub 2018 May 23.
- Benedetti G, Mori M, Panzeri MM, Barbera M, Palumbo D, Sini C, Muffatti F, Andreasi V, Steidler S, Doglioni C, Partelli S, Manzoni M, Falconi M, Fiorino C, De Cobelli F. CT-derived radiomic features to discriminate histologic characteristics of pancreatic neuroendocrine tumors. Radiol Med. 2021 Jun;126(6):745-760. doi: 10.1007/s11547-021-01333-z. Epub 2021 Feb 1.
研究记录日期
研究主要日期
学习开始 (实际的)
初级完成 (实际的)
研究完成 (实际的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (实际的)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
此信息直接从 clinicaltrials.gov 网站检索，没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求，请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改，我们的网站上也会自动更新.