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Research ArticleOncology

Predicting Pathologic Response of Esophageal Cancer to Neoadjuvant Chemotherapy: The Implications of Metabolic Nodal Response for Personalized Therapy

John M. Findlay, Kevin M. Bradley, Lai Mun Wang, James M. Franklin, Eugene J. Teoh, Fergus V. Gleeson, Nicholas D. Maynard, Richard S. Gillies and Mark R. Middleton
Journal of Nuclear Medicine February 2017, 58 (2) 266-275; DOI: https://doi.org/10.2967/jnumed.116.176313
John M. Findlay
1Oxford OesophagoGastric Centre, Churchill Hospital, Oxford, United Kingdom
2NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, United Kingdom
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Kevin M. Bradley
3Department of Nuclear Medicine, Churchill Hospital, Oxford, United Kingdom
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Lai Mun Wang
2NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, United Kingdom
4Department of Pathology, John Radcliffe Hospital, Oxford, United Kingdom; and
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James M. Franklin
3Department of Nuclear Medicine, Churchill Hospital, Oxford, United Kingdom
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Eugene J. Teoh
3Department of Nuclear Medicine, Churchill Hospital, Oxford, United Kingdom
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Fergus V. Gleeson
3Department of Nuclear Medicine, Churchill Hospital, Oxford, United Kingdom
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Nicholas D. Maynard
1Oxford OesophagoGastric Centre, Churchill Hospital, Oxford, United Kingdom
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Richard S. Gillies
1Oxford OesophagoGastric Centre, Churchill Hospital, Oxford, United Kingdom
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Mark R. Middleton
2NIHR Oxford Biomedical Research Centre, Churchill Hospital, Oxford, United Kingdom
5Department of Oncology, University of Oxford, Old Road Campus Research Building, Oxford, United Kingdom
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This article has a correction. Please see:

  • Erratum - May 01, 2017

Abstract

Only a minority of esophageal cancers demonstrates a pathologic tumor response (pTR) to neoadjuvant chemotherapy (NAC). 18F-FDG PET/CT is often used for restaging after NAC and to assess response. Increasingly, it is used during therapy to identify unresponsive tumors and predict pTR, using avidity of the primary tumor alone. However, definitions of such metabolic tumor response (mTR) vary. We aimed to comprehensively reevaluate metabolic response assessment using accepted parameters, as well as novel concepts of metabolic nodal stage (mN) and metabolic nodal response (mNR). Methods: This was a single-center retrospective U.K. cohort study. All patients with esophageal cancer staged before NAC with PET/CT and after with CT or PET/CT and undergoing resection from 2006 to 2014 were identified. pTR was defined as Mandard tumor regression grade 1–3; imaging parameters included metrics of tumor avidity (SUVmax/mean/peak), composites of avidity and volume (including metabolic tumor volume), nodal SUVmax, and our new concepts of mN stage and mNR. Results: Eighty-two (27.2%) of 301 patients demonstrated pTR. No pre-NAC PET parameters predicted pTR. In 220 patients restaged by PET/CT, the optimal tumor ΔSUVmax threshold was a 77.8% reduction. This was as sensitive as the current PERCIST 30% reduction, but more specific with a higher negative predictive value (P < 0.001). ΔSUVmax and Δlength independently predicted pTR, and composite avidity/spatial metrics outperformed avidity alone. Although both mTR and mNR were associated with pTR, in 82 patients with 18F-FDG–avid nodes before NAC we observed mNR in 10 (12.2%) not demonstrating mTR. Conclusion: Current definitions of metabolic response are suboptimal and too simplistic. Composite avidity/volume measures improve prediction. mNR may further improve response assessment, by specifically assessing metastatic tumor subpopulations, likely responsible for disease relapse, and should be urgently assessed when considering aborting therapy on the basis of mTR alone.

  • esophageal cancer
  • neoadjuvant therapy
  • positron-emission tomography
  • precision oncology

Footnotes

  • Published online Sep. 15, 2016.

  • © 2017 by the Society of Nuclear Medicine and Molecular Imaging.
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Journal of Nuclear Medicine: 58 (2)
Journal of Nuclear Medicine
Vol. 58, Issue 2
February 1, 2017
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Predicting Pathologic Response of Esophageal Cancer to Neoadjuvant Chemotherapy: The Implications of Metabolic Nodal Response for Personalized Therapy
John M. Findlay, Kevin M. Bradley, Lai Mun Wang, James M. Franklin, Eugene J. Teoh, Fergus V. Gleeson, Nicholas D. Maynard, Richard S. Gillies, Mark R. Middleton
Journal of Nuclear Medicine Feb 2017, 58 (2) 266-275; DOI: 10.2967/jnumed.116.176313

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Predicting Pathologic Response of Esophageal Cancer to Neoadjuvant Chemotherapy: The Implications of Metabolic Nodal Response for Personalized Therapy
John M. Findlay, Kevin M. Bradley, Lai Mun Wang, James M. Franklin, Eugene J. Teoh, Fergus V. Gleeson, Nicholas D. Maynard, Richard S. Gillies, Mark R. Middleton
Journal of Nuclear Medicine Feb 2017, 58 (2) 266-275; DOI: 10.2967/jnumed.116.176313
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