定量影像标志物在胰腺癌非手术治疗效果评估及患者预后预测中的应用价值

陈荷冰; 薛华丹

doi:10.19732/j.cnki.2096-6210.2026.02.002

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定量影像标志物在胰腺癌非手术治疗效果评估及患者预后预测中的应用价值

专家述评 | 更新时间：2026-05-07

- 定量影像标志物在胰腺癌非手术治疗效果评估及患者预后预测中的应用价值
- The application value of quantitative imaging markers in treatment response evaluation and prognosis prediction of non-surgical therapies for pancreatic cancer
- 肿瘤影像学 2026年35卷第2期页码：220-229
- 作者机构：
  
  中国医学科学院北京协和医学院，北京协和医院放射科，北京 100730
- 作者简介：
  
  [ "薛华丹，医学博士，主任医师、教授、博士研究生导师，中国医学科学院北京协和医院放射科副主任兼西院放射科主任、西院总支临床医技支部书记。国家级放射影像专业医疗质量控制中心专家委员会副主任委员，中华医学会放射学分会全国委员兼副秘书长、腹部学组副组长，北京医学会放射学分会常务委员兼秘书长，中国医学装备协会磁共振应用专业委员会常务委员兼秘书长，国际放射学战略研究协会（IS3R）委员，北美放射学会（RSNA）亚太地区委员会委员，Chinese Journal of Academic Radiology副主编，Radiology、Academic Radiology、《中华放射学杂志》编委。荣获国家卫健委医学高层次人才优秀青年医师、北京市高等学校青年教学名师、北京优秀医师、北京市科技新星等荣誉称号，并牵头获北京市科学技术奖及北京医学科技奖二等奖，并获国家科技进步奖二等奖、中华医学科技一等奖等各类科技奖励21项，包括国家级、省部级奖项10项。以第一及通信作者在SCI收录期刊上发表论著101篇，累计被引超过1 400次。作为课题负责人主持国家级、省部级等基金30项。担任《全身弥散加权成像肿瘤学临床应用图谱：中英文双语版》《多层螺旋CT影像诊断学》《医学影像学》《中华影像医学泌尿生殖卷》（第3版）等著作主编或副主编，参编国内外专家共识及指南22项，获得国家发明专利12项。" ]
- 基金信息：
  
  国家自然科学基金面上项目(82372051);北京协和医院中央高水平医院临床科研专项(2025-PUMCH-D-002);国家重点研发计划“诊疗装备与生物医用材料”重点专项(2024YFC2419300)
- DOI：10.19732/j.cnki.2096-6210.2026.02.002
  中图分类号： R735.9;R445
- 收稿：2026-04-09，
  
  修回：2026-04-16，
  
  录用：2026-04-16，
  
  纸质出版：2026-04-28
- 稿件说明：
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陈荷冰, 薛华丹. 定量影像标志物在胰腺癌非手术治疗效果评估及患者预后预测中的应用价值［J］. 肿瘤影像学, 2026, 35(2): 220-229.

CHEN H B, XUE H D.Citation: The application value of quantitative imaging markers in treatment response evaluation and prognosis prediction of non-surgical therapies for pancreatic cancer［J］. Oncoradiology, 2026, 35(2): 220-229.
陈荷冰, 薛华丹. 定量影像标志物在胰腺癌非手术治疗效果评估及患者预后预测中的应用价值［J］. 肿瘤影像学, 2026, 35(2): 220-229. DOI： 10.19732/j.cnki.2096-6210.2026.02.002.

CHEN H B, XUE H D.Citation: The application value of quantitative imaging markers in treatment response evaluation and prognosis prediction of non-surgical therapies for pancreatic cancer［J］. Oncoradiology, 2026, 35(2): 220-229. DOI： 10.19732/j.cnki.2096-6210.2026.02.002.

摘要

胰腺癌具有高度异质性和纤维化环境，导致传统影像学评估手段具有滞后性。当前，定量影像标志物通过提取肿瘤的功能、代谢及微观结构信息，正逐步成为早期识别治疗反应、实现个体化治疗决策的关键突破口。因此，本文创新性地述评了不同影像学技术的定量参数以及影像组学和深度学习在胰腺癌疗效评估及预后预测中的应用价值，从而为下一步研究的改进提供参考，以期推动不同定量成像技术在胰腺癌精准诊疗中的转化应用，最终提升患者的生存质量和延长生存期。

Abstract

Pancreatic cancer is characterized by high heterogeneity and a fibrotic microenvironment

which lead to a lag in the assessment efficacy of conventional imaging modalities. Currently

quantitative imaging markers

by extracting information on tumor function

metabolism

and microstructural characteristics

are gradually becoming a key breakthrough for early identification of treatment response and the realization of individualized treatment decisions. Therefore

this article innovatively reviewed the quantitative parameters of different imaging techniques

as well as the application value of radiomics and deep learning in the evaluation of treatment efficacy and prognosis prediction of pancreatic cancer. This review aimed to provide references for future research improvements

promote the translational application of various quantitative imaging techniques in precision diagnosis and treatment of pancreatic cancer

and ultimately improve patients' quality of life and prolong their survival.

关键词

Keywords

references

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