The application value of quantitative imaging markers in treatment response evaluation and prognosis prediction of non-surgical therapies for pancreatic cancer

CHEN Hebing; XUE Huadan

doi:10.19732/j.cnki.2096-6210.2026.02.002

您当前的位置：

首页 >

文章列表页 >

The application value of quantitative imaging markers in treatment response evaluation and prognosis prediction of non-surgical therapies for pancreatic cancer

Specialists' Commentary | 更新时间：2026-05-07

- The application value of quantitative imaging markers in treatment response evaluation and prognosis prediction of non-surgical therapies for pancreatic cancer
- Oncoradiology Vol. 35, Issue 2, Pages: 220-229(2026)
- 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：
- 基金信息：
  
  National Natural Science Foundation of China(82372051);National High Level Hospital Clinical Research Funding(2025-PUMCH-D-002);National Key R&D Program of China-Key Special Project on Diagnostic Equipment and Biomedical Materials(2024YFC2419300)
- DOI：10.19732/j.cnki.2096-6210.2026.02.002
  CLC： R735.9;R445
- Received：09 April 2026，
  
  Revised：2026-04-16，
  
  Accepted：16 April 2026，
  
  Published：28 April 2026
- 稿件说明：
移动端阅览
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

STOOP T F , JAVED A A , OBA A , et al . Pancreatic cancer ［J］. Lancet , 2025 , 405 ( 10485 ): 1182 - 1202 .

EISENHAUER E A , THERASSE P , BOGAERTS J , et al . New response evaluation criteria in solid tumors: revised RECIST guideline (version 1.1) ［J］. Eur J Cancer , 2009 , 45 ( 2 ): 228 - 247 .

KAWAMOTO S , FULD M K , LAHERU D , et al . Assessment of iodine uptake by pancreatic cancer following chemotherapy using dual-energy CT ［J］. Abdom Radiol , 2018 , 43 ( 2 ): 445 - 456 .

NODA Y , GOSHIMA S , MIYOSHI T , et al . Assessing chemotherapeutic response in pancreatic ductal adenocarcinoma: histogram analysis of iodine concentration and CT number in single-source dual-energy CT ［J］. AJR Am J Roentgenol , 2018 , 211 ( 6 ): 1221 - 1226 .

FUKUKURA Y , KUMAGAE Y , HIGASHI R , et al . Extracellular volume fraction determined by equilibrium contrast-enhanced dual-energy CT as a prognostic factor in patients with stage Ⅳ pancreatic ductal adenocarcinoma ［J］. Eur Radiol , 2020 , 30 ( 3 ): 1679 - 1689 .

FUJITA N , USHIJIMA Y , ITOYAMA M , et al . Extracellular volume fraction determined by dual-layer spectral detector CT: possible role in predicting the efficacy of preoperative neoadjuvant chemotherapy in pancreatic ductal adenocarcinoma ［J］. Eur J Radiol , 2023 , 162 : 110756 .

JACOBSEN M C , CRESSMAN E N K , TAMM E P , et al . Dual-energy CT: lower limits of iodine detection and quantification ［J］. Radiology , 2019 , 292 ( 2 ): 414 - 419 .

YEL I , BOOZ C , D’ANGELO T , et al . Standardization of dual-energy CT iodine uptake of the abdomen and pelvis: defining reference values in a big data cohort ［J］. Diagnostics , 2024 , 14 ( 18 ): 2051 .

CHEN Y , ZHONG J Y , WANG L , et al . Robustness of CT radiomics features: consistency within and between single-energy CT and dual-energy CT ［J］. Eur Radiol , 2022 , 32 ( 8 ): 5480 - 5490 .

WOELTJEN M M , NIEHOFF J H , ROGGEL R , et al . Pancreatic cancer in photon-counting CT: low keV virtual monoenergetic images improve tumor conspicuity ［J］. Eur J Radiol , 2024 , 173 : 111374 .

KIM J , MABUD T , HUANG C C , et al . Inter-reader agreement of pancreatic adenocarcinoma resectability assessment with photon counting versus energy integrating detector CT ［J］. Abdom Radiol , 2024 , 49 ( 9 ): 3149 - 3157 .

DECKER J A , BECKER J , HÄRTING M , et al . Optimal conspicuity of pancreatic ductal adenocarcinoma in virtual monochromatic imaging reconstructions on a photon-counting detector CT: comparison to conventional MDCT ［J］. Abdom Radiol , 2024 , 49 ( 1 ): 103 - 116 .

SHOU A , BAGGA B , HAJDU C , et al . A pilot study to assess pancreatic adenocarcinoma treatment response with iodine density from photon counting CT ［J］. J Comput Assist Tomogr , 2026 , 50 ( 1 ): 13 - 19 .

PARK M S , KLOTZ E , KIM M J , et al . Perfusion CT: noninvasive surrogate marker for stratification of pancreatic cancer response to concurrent chemo- and radiation therapy ［J］. Radiology , 2009 , 250 ( 1 ): 110 - 117 .

HAMDY A , ICHIKAWA Y , TOYOMASU Y , et al . Perfusion CT to assess response to neoadjuvant chemotherapy and radiation therapy in pancreatic ductal adenocarcinoma: initial experience ［J］. Radiology , 2019 , 292 ( 3 ): 628 - 635 .

HUANG Z Q , SALUJA A K , DUDEJA V , et al . Molecular targeted approaches for treatment of pancreatic cancer ［J］. Curr Pharm Des , 2011 , 17 ( 21 ): 2221 - 2238 .

PERIK T , ALVES N , HERMANS J J , et al . Automated quantitative analysis of CT perfusion to classify vascular phenotypes of pancreatic ductal adenocarcinoma ［J］. Cancers , 2024 , 16 ( 3 ): 577 .

PERIK T H , VAN GENUGTEN E A J , AARNTZEN E H J G , et al . Quantitative CT perfusion imaging in patients with pancreatic cancer: a systematic review ［J］. Abdom Radiol , 2022 , 47 ( 9 ): 3101 - 3117 .

SANDINI M , PATINO M , FERRONE C R , et al . Association between changes in body composition and neoadjuvant treatment for pancreatic cancer ［J］. JAMA Surg , 2018 , 153 ( 9 ): 809 - 815 .

JIN K Z , TANG Y , WANG A Q , et al . Body composition and response and outcome of neoadjuvant treatment for pancreatic cancer ［J］. Nutr Cancer , 2022 , 74 ( 1 ): 100 - 109 .

LEE M W , JEON S K , PAIK W H , et al . Prognostic value of initial and longitudinal changes in body composition in metastatic pancreatic cancer ［J］. J Cachexia Sarcopenia Muscle , 2024 , 15 ( 2 ): 735 - 745 .

TANG W , LIU W , LI H M , et al . Quantitative dynamic contrast-enhanced MR imaging for the preliminary prediction of the response to gemCitabine-based chemotherapy in advanced pancreatic ductal carcinoma ［J］. Eur J Radiol , 2019 , 121 : 108734 .

KIM H , MORGAN D E , SCHEXNAILDER P , et al . Accurate therapeutic response assessment of pancreatic ductal adenocarcinoma using quantitative dynamic contrast-enhanced magnetic resonance imaging with a point-of-care perfusion phantom: a pilot study ［J］. Invest Radiol , 2019 , 54 ( 1 ): 16 - 22 .

DO R K , REYNGOLD M , PAUDYAL R , et al . Diffusion-weighted and dynamic contrast-enhanced MRI derived imaging metrics for stereotactic body radiotherapy of pancreatic ductal adenocarcinoma: preliminary findings ［J］. Tomography , 2020 , 6 ( 2 ): 261 - 271 .

FUKUKURA Y , KUMAGAE Y , FUJISAKI Y , et al . Extracellular volume fraction with MRI: as an alternative predictive biomarker to dynamic contrast-enhanced MRI for chemotherapy response of pancreatic ductal adenocarcinoma ［J］. Eur J Radiol , 2021 , 145 : 110036 .

DALAH E , ERICKSON B , OSHIMA K , et al . Correlation of ADC with pathological treatment response for radiation therapy of pancreatic cancer ［J］. Transl Oncol , 2018 , 11 ( 2 ): 391 - 398 .

HUSSIEN N , HUSSIEN R S , SAAD D H A , et al . The role of MRI pancreatic protocol in assessing response to neoadjuvant therapy for patients with borderline resectable pancreatic cancer ［J］. Front Oncol , 2022 , 11 : 796317 .

OKADA K I , KAWAI M , HIRONO S , et al . Diffusion-weighted MRI predicts the histologic response for neoadjuvant therapy in patients with pancreatic cancer: a prospective study (DIFFERENT trial) ［J］. Langenbecks Arch Surg , 2020 , 405 ( 1 ): 23 - 33 .

BILREIRO C , ANDRADE L , MARQUES R M , et al . Diffusion-weighted imaging for determining response to neoadjuvant therapy in pancreatic cancer: a systematic review and meta-analysis ［J］. Eur Radiol , 2024 , 34 ( 5 ): 3238 - 3248 .

QU C , ZENG P E , HU W Y , et al . Multiparametric quantitative diffusion weighted magnetic resonance imaging can effectively predict the response to neoadjuvant therapy in borderline resectable pancreatic ductal adenocarcinoma ［J］. Eur J Radiol , 2025 , 183 : 111893 .

ZHANG Z H , ZHANG Y Q , HU F X , et al . Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer ［J］. Cancer Imaging , 2024 , 24 ( 1 ): 29 .

KLAASSEN R , GURNEY-CHAMPION O J , WILMINK J W , et al . Repeatability and correlations of dynamic contrast enhanced and T2* MRI in patients with advanced pancreatic ductal adenocarcinoma ［J］. Magn Reson Imag , 2018 , 50 : 1 - 9 .

KANG J H , LEE S S , KIM J H , et al . Multiparametric MRI for prediction of treatment response to neoadjuvant FOLFIRINOX therapy in borderline resectable or locally advanced pancreatic cancer ［J］. Eur Radiol , 2021 , 31 ( 2 ): 864 - 874 .

ZIMMERMANN C , DISTLER M , JENTSCH C , et al . Evaluation of response using FDG-PET/CT and diffusion weighted MRI after radiochemotherapy of pancreatic cancer: a non-randomized, monocentric phase Ⅱ clinical trial-PaCa-DD-041 (Eudra-CT 2009-011968-11) ［J］. Strahlenther Onkol , 2021 , 197 ( 1 ): 19 - 26 .

YUN W G , KIM T Y , PARK S , et al . Metabolic response during preoperative chemotherapy can predict prognosis in pancreatic cancer ［J］. J Hepato Biliary Pancreat Sci , 2025 , 32 ( 5 ): 393 - 403 .

DE KEIZER B , BRAAT A J A T , LAM M G E H , et al . Considerations for SUV measurement in PSMA PET/CT reporting: a call for standardisation and best practices ［J］. Eur J Nucl Med Mol Imaging , 2025 , 52 ( 2 ): 386 - 387 .

BOELLAARD R , DELGADO-BOLTON R , OYEN W J G , et al . FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0 ［J］. Eur J Nucl Med Mol Imag , 2015 , 42 ( 2 ): 328 - 354 .

LI X , LU N , SUN K , et al . 18 F FAPI- 04 PET/CT for pathologic response assessment in pancreatic cancer patients with systemic treatment ［J］. Eur J Nucl Med Mol Imag , 2025 , 52 ( 11 ): 3938 - 3950 .

ESFAHANI S A , MA H , KRISHNA S , et al . Collagen type I PET/MRI enables evaluation of treatment response in pancreatic cancer in pre-clinical and first-in-human translational studies ［J］. Theranostics , 2024 , 14 ( 15 ): 5745 - 5761 .

DUAN K L , ZHOU H H , XU W N , et al . Evaluation of tumor fibrosis in pancreatic ductal adenocarcinoma by 2-D shear wave elastography: a pilot study ［J］. Ultrasound Med Biol , 2023 , 49 ( 9 ): 2119 - 2125 .

TAKISHIN Y , KUWATANI M , NISHIDA M , et al . Clinical significance of dispersion imaging by shear wave elastography in the treatment and diagnosis of pancreatic cancer ［J］. J Gastroenterol Hepatol , 2023 , 38 ( 4 ): 656 - 663 .

LU X Y , GUO X , ZHANG Q , et al . Early assessment of chemoradiotherapy response for locally advanced pancreatic ductal adenocarcinoma by dynamic contrast-enhanced ultrasound ［J］. Diagnostics , 2022 , 12 ( 11 ): 2662 .

YAN X Y , FU X S , GUI Y , et al . Development and validation of a nomogram model based on pretreatment ultrasound and contrast-enhanced ultrasound to predict the efficacy of neoadjuvant chemotherapy in patients with borderline resectable or locally advanced pancreatic cancer ［J］. Cancer Imag , 2024 , 24 ( 1 ): 13 .

CIARAVINO V , CARDOBI N , DE ROBERTIS R , et al . CT texture analysis of ductal adenocarcinoma downstaged after chemotherapy ［J］. Anticancer Res , 2018 , 38 ( 8 ): 4889 - 4895 .

BORHANI A A , DEWAN R , FURLAN A , et al . Assessment of response to neoadjuvant therapy using CT texture analysis in patients with resectable and borderline resectable pancreatic ductal adenocarcinoma ［J］. Am J Roentgenol , 2020 , 214 ( 2 ): 362 - 369 .

CHEN X J , OSHIMA K , SCHOTT D , et al . Assessment of treatment response during chemoradiation therapy for pancreatic cancer based on quantitative radiomic analysis of daily CTs: an exploratory study ［J］. PLoS One , 2017 , 12 ( 6 ): e0178961 .

NASIEF H , HALL W , ZHENG C , et al . Improving treatment response prediction for chemoradiation therapy of pancreatic cancer using a combination of delta-radiomics and the clinical biomarker CA19-9 ［J］. Front Oncol , 2020 , 9 : 1464 .

WANG K , KARALIS J D , ELAMIR A , et al . Delta radiomic features predict resection margin status and overall survival in neoadjuvant-treated pancreatic cancer patients ［J］. Ann Surg Oncol , 2024 , 31 ( 4 ): 2608 - 2620 .

LU W X , WU G Y , MIAO X Y , et al . Correction to: the radiomics nomogram predicts the prognosis of pancreatic cancer patients with hepatic metastasis after chemoimmunotherapy ［J］. Cancer Immunol Immunother , 2024 , 73 ( 9 ): 183 .

PARR E , DU Q , ZHANG C , et al . Radiomics-based outcome prediction for pancreatic cancer following stereotactic body radiotherapy ［J］. Cancers , 2020 , 12 ( 4 ): 1051 .

SHAO Y M , DANG Y N , CHENG Y J , et al . Predicting the efficacy of neoadjuvant chemotherapy for pancreatic cancer using deep learning of contrast-enhanced ultrasound videos ［J］. Diagnostics , 2023 , 13 ( 13 ): 2183 .

Views

下载量

CNKI被引量

Alert me when the article has been cited

提交

Tools

Publicity Resources

A comparative analysis of contrast-enhanced ultrasound and contrast-enhanced computed tomography in the diagnosis of liver metastasis from pancreatic cancer

Application of magnetic resonance elastography in the identification of benign and malignant liver lesions and prognostic prediction of malignant tumors

Establish and validation of a clinical-radiomics model for preoperative prediction of the differentiation degree of pancreatic cancer before operation

Research status and progress of ultrasound on pancreatic neuroendocrine neoplasm

Related Author

WANG Wenping

QING Hong

ZHANG Qi

CHEN Keke

Xutong HUANG

Jie YUAN

Zhiwei QIN

Jiaoyan WANG

Related Institution

Department of Ultrasound, Zhongshan Hospital, Fudan University

Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine

MR Collaboration, United Imaging Research

Department of Radiology, Xuyi People&rsquo

Department of Gastroenterology, Ehu Branch of Xishan People&rsquo

AI脑图

AI问答

⁰