Abstract
Purpose
Pathological complete response correlates with better clinical outcomes in locally advanced esophageal cancer (LA-EC). However, there is lack of prognostic markers to identify patients in the current setting of neoadjuvant chemoradiotherapy (NACRT) followed by surgery. This study evaluates the utility of mid-treatment diffusion-weighted imaging (DWI) in identifying pathological responders of NACRT.
Methods
Twenty-four patients with LA-EC on NACRT were prospectively recruited and underwent three MRI (baseline, mid-treatment, end-of-RT) scans. DWI-derived apparent diffusion coefficient (ADC) mean and minimum were used as a surrogate to evaluate the treatment response, and its correlation to pathological response was assessed.
Results
Mid-treatment ADC mean was significantly higher among patients with pathological response compared to non-responders (p = 0.011). ADC difference (ΔADC) between baseline and mid-treatment correlated with tumor response (p = 0.007). ADC at other time points did not correlate to pathological response.
Conclusion
In this study, mid-treatment ADC values show potential to be a surrogate for tumor response in NACRT. However, larger trials are required to establish DW-MRI as a definite biomarker for tumor response.
Similar content being viewed by others
Data Availability
Data is unavailable for public access.
Code Availability
Not applicable.
Abbreviations
- NACRT:
-
Neoadjuvant chemoradiotherapy
- pCR:
-
Pathological complete response
- TRG:
-
Tumor regression grade
- CT:
-
Computed tomography
- FDG-PET:
-
Fluorodeoxyglucose–positron emission tomography
- DW-MRI:
-
Diffusion-weighted magnetic resonance imaging
- ADC:
-
Apparent diffusion coefficient
- RT:
-
Radiation therapy
- DWI:
-
Diffusion-weighted imaging
- ROI:
-
Region of interest
- SD:
-
Standard deviation
- DFS:
-
Disease free survival
- OS:
-
Overall survival
- 3DCRT:
-
3-Dimensional conformal radiation therapy
- IMRT:
-
Intensity-modulated radiation therapy
References
Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424.
D’Amico TA. Outcomes after surgery for oesophageal cancer. Gastrointest Cancer Res GCR. 2007;1(5):188–96.
van Hagen P, Hulshof MCCM, van Lanschot JJB, Steyerberg EW, van Berge Henegouwen MI, Wijnhoven BPL, et al. Preoperative chemoradiotherapy for oesophageal or junctional cancer. N Engl J Med. 2012;366(22):2074–84.
Mandard AM, Dalibard F, Mandard JC, Marnay J, Henry-Amar M, Petiot JF, et al. Pathologic assessment of tumor regression after preoperative chemoradiotherapy of oesophageal carcinoma. Clinicopathologic correlations Cancer. 1994;73(11):2680–6.
van Rossum PSN, van Lier ALHMW, van Vulpen M, Reerink O, Lagendijk JJW, Lin SH, et al. Diffusion-weighted magnetic resonance imaging for the prediction of pathologic response to neoadjuvant chemoradiotherapy in oesophageal cancer. Radiother Oncol J Eur Soc Ther Radiol Oncol. 2015;115(2):163–70.
Donahue JM, Nichols FC, Li Z, Schomas DA, Allen MS, Cassivi SD, et al. Complete pathologic response after neoadjuvant chemoradiotherapy for oesophageal cancer is associated with enhanced survival. Ann Thorac Surg. 2009;87(2):392–8; discussion 398–399.
Weber M-A, Bender K, von Gall CC, Stange A, Grünberg K, Ott K, et al. Assessment of diffusion-weighted MRI and 18F-fluoro-deoxyglucose PET/CT in monitoring early response to neoadjuvant chemotherapy in adenocarcinoma of the esophagogastric junction. J Gastrointest Liver Dis JGLD. 2013;22(1):45–52.
Borggreve AS, Goense L, van Rossum PSN, Heethuis SE, van Hillegersberg R, Lagendijk JJW, et al. Preoperative prediction of pathologic response to neoadjuvant chemoradiotherapy in patients with oesophageal cancer using 18F-FDG PET/CT and DW-MRI: a prospective multicenter study. Int J Radiat Oncol Biol Phys. 2020;106(5):998–1009.
Noordman BJ, Shapiro J, Spaander MC, Krishnadath KK, van Laarhoven HW, van Berge Henegouwen MI, et al. Accuracy of detecting residual disease after cross neoadjuvant chemoradiotherapy for oesophageal cancer (preSANO Trial): rationale and protocol. JMIR Res Protoc. 2015;4(2):e79.
Noordman BJ, Wijnhoven BPL, Lagarde SM, Boonstra JJ, Coene PPLO, Dekker JWT, et al. Neoadjuvant chemoradiotherapy plus surgery versus active surveillance for oesophageal cancer: a stepped-wedge cluster randomised trial. BMC Cancer. 2018;18(1):142.
Eyck BM, van der Wilk BJ, Noordman BJ, Wijnhoven BPL, Lagarde SM, Hartgrink HH, et al. Updated protocol of the SANO trial: a stepped-wedge cluster randomised trial comparing surgery with active surveillance after neoadjuvant chemoradiotherapy for oesophageal cancer. Trials. 2021;22(1):345.
Imanishi S, Shuto K, Aoyagi T, Kono T, Saito H, Matsubara H. Diffusion-weighted magnetic resonance imaging for predicting and detecting the early response to chemoradiotherapy of advanced oesophageal squamous cell carcinoma. Dig Surg. 2013;30(3):240–8.
Vollenbrock SE, Voncken FEM, Bartels LW, Beets-Tan RGH, Bartels-Rutten A. Diffusion-weighted MRI with ADC mapping for response prediction and assessment of oesophageal cancer: a systematic review. Radiother Oncol J Eur Soc Ther Radiol Oncol. 2020;142:17–26.
Wang L, Han C, Zhu S, Shi G, Wang Q, Tian H, et al. Investigation of using diffusion-weighted magnetic resonance imaging to evaluate the therapeutic effect of oesophageal carcinoma treatment. Oncol Res Treat. 2014;37(3):112–6.
Aoyagi T, Shuto K, Okazumi S, Shimada H, Kazama T, Matsubara H. Apparent diffusion coefficient values measured by diffusion-weighted imaging predict chemoradiotherapeutic effect for advanced oesophageal cancer. Dig Surg. 2011;28(4):252–7.
De Cobelli F, Giganti F, Orsenigo E, Cellina M, Esposito A, Agostini G, et al. Apparent diffusion coefficient modifications in assessing gastro-oesophageal cancer response to neoadjuvant treatment: comparison with tumour regression grade at histology. Eur Radiol. 2013;23(8):2165–74.
Xiang M, Chang DT, Heestand GM, Pollom EL. Survival after neoadjuvant approaches to gastroesophageal junction cancer. Gastric Cancer Off J Int Gastric Cancer Assoc Jpn Gastric Cancer Assoc. 2020;23(1):175–83.
Soror T, Kho G, Zhao K-L, Ismail M, Badakhshi H. Impact of pathological complete response following neoadjuvant chemoradiotherapy in oesophageal cancer. J Thorac Dis. 2018;10(7):4069–76.
Funding
This study was funded by institutional research grant.
Author information
Authors and Affiliations
Contributions
SP, AI, VA, and NOJ contributed to the study conception and design. Data collection and preparation of first draft of manuscript was performed by NOJ. Analysis was performed by NOJ, BS, and HMT. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics Approval
The study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and approved by the institutional review board and ethics committee.
Consent to Participate
Informed consent was obtained from all the patients enrolled in the study.
Consent for Publication
All authors consent to the publication of the manuscript in the Journal of Gastrointestinal Cancer should the article be accepted by the Editor-in-Chief upon completion of the refereeing process.
Conflict of interest
The authors declare no competing interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
John, N.O., Irodi, A., Thomas, H.M.T. et al. Utility of Mid-treatment DWI in Selecting Pathological Responders to Neoadjuvant Chemoradiotherapy in Locally Advanced Esophageal Cancer. J Gastrointest Canc 54, 447–455 (2023). https://doi.org/10.1007/s12029-022-00818-y
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12029-022-00818-y