Literature DB >> 15135484

Effects of neoadjuvant radio-chemotherapy on 18F-FDG-PET in esophageal carcinoma.

I Brink1, M Hentschel, T A Bley, A Walch, M Mix, M Kleimaier, E Moser, A Imdahl.   

Abstract

AIM: To investigate whether results of [F-18]-fluorodeoxy-d-glucose (FDG) positron emission tomography (PET) of esophageal cancer (EC) before and after neoadjuvant radio-chemotherapy correlate with histopathology after esophageal resection.
METHODS: Twenty consecutive patients with EC without distant metastases were examined twice with 18F-FDG-PET during primary staging and after neoadjuvant radio-chemotherapy. FDG standardised uptake values (SUV) were correlated with the histopathological findings (percentage of viable tumour cells, tumour regression grade 1-5).
RESULTS: Regression analysis revealed a slight (not significant) positive correlation between SUV(pre) (R=0.41, p=0.08) and SUV(post) (R=0.37, p=0.11) and the percentage of viable tumour cells in the resectate. Although all patients showed a significant decrease in SUV after radio-chemotherapy (p < 0.01) the percentual decrease of the SUV after therapy (DeltaSUV%) did not significantly differ between the TRG-groups. In 12 of 20 patients (60%), therapy-induced esophagitis was detected in post-therapeutic PET images.
CONCLUSION: In EC, a higher pre-therapeutic SUV might be correlated with a higher fraction of vital tumour cells remaining after radio-chemotherapy. Applying the neoadjuvant therapy protocol and the study design used in this examination, there is no correlation between decrease in SUV and histopathology.

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Year:  2004        PMID: 15135484     DOI: 10.1016/j.ejso.2004.03.007

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  15 in total

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2.  Predicting response to chemoradiotherapy in rectal and oesophageal cancer with 18F-FDG: prognostic value and possible role in patient management.

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3.  2-deoxy-2-[F-18]fluoro-D-glucose-positron emission tomography/computed tomography imaging evaluation of esophageal cancer.

Authors:  Hossein Jadvar; Robert W Henderson; Peter S Conti
Journal:  Mol Imaging Biol       Date:  2006 May-Jun       Impact factor: 3.488

4.  The evaluation of esophageal adenocarcinoma using dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Eugene Y Chang; Xin Li; Michael Jerosch-Herold; Ryan A Priest; C Kristian Enestvedt; Jingang Xu; Charles S Springer; Blair A Jobe
Journal:  J Gastrointest Surg       Date:  2007-09-01       Impact factor: 3.452

5.  The predictive value of treatment response using FDG PET performed on day 21 of chemoradiotherapy in patients with oesophageal squamous cell carcinoma. A prospective, multicentre study (RTEP3).

Authors:  Odré Palie; Pierre Michel; Jean-François Ménard; Caroline Rousseau; Emmanuel Rio; Boumédiene Bridji; Ahmed Benyoucef; Marc-Etienne Meyer; Khadija Jalali; Stéphane Bardet; Che Mabubu M'vondo; Pierre Olivier; Guillaume Faure; Emmanuel Itti; Christian Diana; Claire Houzard; Françoise Mornex; Frederic Di Fiore; Pierre Vera
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6.  Metabolic tumor width parameters as determined on PET/CT predict disease-free survival and treatment response in squamous cell carcinoma of the esophagus.

Authors:  Johannes B Roedl; Elkan F Halpern; Rivka R Colen; Dushyant V Sahani; Alan J Fischman; Michael A Blake
Journal:  Mol Imaging Biol       Date:  2008-09-04       Impact factor: 3.488

7.  Metabolic response at repeat PET/CT predicts pathological response to neoadjuvant chemotherapy in oesophageal cancer.

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Review 8.  Predicting response to treatment in gastroesophageal junction adenocarcinomas: combining clinical, imaging, and molecular biomarkers.

Authors:  Gillian H Bain; Russell D Petty
Journal:  Oncologist       Date:  2010-03-04

9.  Predicting the response of localised oesophageal cancer to neo-adjuvant chemoradiation.

Authors:  Charles M Gillham; John Reynolds; Donal Hollywood
Journal:  World J Surg Oncol       Date:  2007-08-23       Impact factor: 2.754

10.  (18)FDG uptake during induction chemoradiation for oesophageal cancer fails to predict histomorphological tumour response.

Authors:  C M Gillham; J A Lucey; M Keogan; G J Duffy; V Malik; A A Raouf; K O'byrne; D Hollywood; C Muldoon; J V Reynolds
Journal:  Br J Cancer       Date:  2006-10-03       Impact factor: 7.640

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