search

menu

  • Research Research
    • Where science meets inspired minds

    • Back
    • Research
    • Our Science
    • Research Groups
    • Facilities & Platforms
    • Clinical research
    • Find a researcher
    • Publications
    • Knowledge Transfer
  • Careers & study Careers & study
    • Become a leader in cancer research

    • Back
    • Careers & study
    • Vacancies
    • Faculty
    • Scientific staff
    • Scientific support staff
    • Postdoctoral fellows
    • PhD Students
    • Operational staff
    • Clinical fellows
    • Life in Amsterdam
    • Student internships
  • News & Events News & Events
    • Check out our stories and events

    • Back
    • News & Events
    • News
    • Media & Press
    • Calendar
  • About us About us
    • Maximum impact for cancer patients

    • Back
    • About us
    • Our vision
    • Organization
    • Collaborations
    • Responsible Research
    • Support us
    • Visit us
    • Contact us
  • Support us
Support us
  • Home
  • Publications
  • Research
  • Publications
  • Article

Response prediction after neoadjuvant chemoradiotherapy in esophageal cancer using FDG-PET and multiparametric MRI: A prospective multicenter study.

Robin B den Boer ,
Stella Mook ,
Hanneke W M van Laarhoven ,
Francine E M Voncken ,
Christel T Muijs ,
Liudmila Kodach ,
Marieke Vollebergh ,
Jolanda M van Dieren ,
Berthe Aleman ,
Annemarieke Bartels-Rutten ,
Aart Nederveen ,
Veronique E M Mul ,
Tom van den Ende ,
Hildebrand Dijkstra ,
John T M Plukker ,
Roel J Bennink ,
Johanna Van Sandick ,
Gursah Kats-Ugurlu ,
Derya Yakar ,
Lodewijk A A Brosens ,
Astrid L H M W van Lier ,
Alicia S Borggreve ,
Ingmar L Defize ,
Jelle P Ruurda ,
Richard van Hillegersberg ,
Gert J Meijer ,

Abstract

METHODS

Between 2018 and 2022 patients scheduled to receive nCRT followed by surgery were prospectively included in 4 tertiary referral centers in The Netherlands. A 18FDG-PET-CT, DW-MRI, and DCE-MRI was performed before, during, and after nCRT. Tumor volumes were (semi-)automatically segmented and mean and max standard uptake volume (SUVmean and SUVmax) and tumor lesion glycolysis (TLG), mean and max apparent diffusion coefficient (ADC), and transfer constants Ktrans and Kep were extracted from respectively 18FDG-PET-CT, DW-MRI, and DCE-MRI scans. Absolute values and relative changes during and after nCRT were analyzed. Primary outcome was pathological complete response (pCR), defined as tumor regression grade (TRG) 1, versus non-pCR. Forward feature selection logistic regression models for pCR were developed and leave one out cross-validation (LOOCV) with bootstrapping was used to estimate performance in an 'independent' dataset.

CONCLUSION

Despite promising results observed in previous smaller single-center studies, the predictive value of the investigated quantitative imaging parameters did not translate into clinically meaningful performance in this prospective multicenter setting.

RESULTS

141 patients were included in the analyses of whom 33 had a pCR and 108 non-pCR. ΔTLGper, ΔSUVmax,post, and ΔADCmean,per were best univariable predictors for pCR (AUC: 0.68, 0.64, 0.62). Combining DW-MRI, DCE MRI and 18FDG-PET features resulted in a forward feature selection logistic regression model with an AUC of 0.65 (95%CI 0.48-0.79, using parameters ΔTLG,per and ΔTLG,post) after LOOCV for predicting pCR.

BACKGROUND

Accurate response assessment after neoadjuvant chemoradiotherapy (nCRT) in esophageal cancer patients could facilitate a more personalized treatment, including possible organ-preserving treatment for good responders or discontinuation of nCRT of poor responders.

PURPOSE

This multicenter study evaluated predictive value of fluorodeoxyglucose positron emission tomography with computed tomography (18FDG-PET-CT), diffusion weighted (DW) and dynamic contrast enhanced (DCE) magnetic resonance imaging (MRI) to assess response to nCRT in esophageal cancer patients.

More about this publication

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology

Pages 111687
Publication date 10-07-2026

Full text links

Publisher website (DOI) 10.1016/j.radonc.2026.111687
Europe PubMed Central 42431268
Pubmed 42431268

Where science meets inspired minds

Contact

Plesmanlaan 121
1066CX Amsterdam

020 512 9111 communicatie@nki.nl

Quick links

  • Vacancies
  • News
  • Contact us
  • Media & Press

Follow us on

Disclaimer
Privacy statement
Cookies
Change cookie settings

This site uses cookies

This website uses cookies to ensure you get the best experience on our website.