Literature DB >> 26883329

Restaging oesophageal cancer after neoadjuvant therapy with (18)F-FDG PET-CT: identifying interval metastases and predicting incurable disease at surgery.

John M Findlay1,2, Richard S Gillies3, James M Franklin4, Eugene J Teoh4, Greg E Jones3,5, Sara di Carlo3,6, Fergus V Gleeson4, Nicholas D Maynard3, Kevin M Bradley4, Mark R Middleton7.   

Abstract

OBJECTIVES: It is unknown whether restaging oesophageal cancer after neoadjuvant therapy with positron emission tomography-computed tomography (PET-CT) is more sensitive than contrast-enhanced CT for disease progression. We aimed to determine this and stratify risk.
METHODS: This was a retrospective study of patients staged before neoadjuvant chemotherapy (NAC) by (18)F-FDG PET-CT and restaged with CT or PET-CT in a single centre (2006-2014).
RESULTS: Three hundred and eighty-three patients were restaged (103 CT, 280 PET-CT). Incurable disease was detected by CT in 3 (2.91 %) and PET-CT in 17 (6.07 %). Despite restaging unsuspected incurable disease was encountered at surgery in 34/336 patients (10.1 %). PET-CT was more sensitive than CT (p = 0.005, McNemar's test). A new classification of FDG-avid nodal stage (mN) before NAC (plus tumour FDG-avid length) predicted subsequent progression, independent of conventional nodal stage. The presence of FDG-avid nodes after NAC and an impassable tumour stratified risk of incurable disease at surgery into high (75.0 %; both risk factors), medium (22.4 %; either), and low risk (3.87 %; neither) groups (p < 0.001). Decision theory supported restaging PET-CT.
CONCLUSIONS: PET-CT is more sensitive than CT for detecting interval progression; however, it is insufficient in at least higher risk patients. mN stage and response (mNR) plus primary tumour characteristics can stratify this risk simply. KEY POINTS: • Restaging (18) F-FDG-PET-CT after neoadjuvant chemotherapy identifies metastases in 6 % of patients • Restaging (18) F-FDG-PET-CT is more sensitive than CT for detecting interval progression • Despite this, at surgery 10 % of patients had unsuspected incurable disease • New concepts (FDG-avid nodal stage and response) plus tumour impassability stratify risk • Higher risk (if not all) patients may benefit from additional restaging modalities.

Entities:  

Keywords:  Cancer staging; Computed tomography; Esophageal cancer; Esophagectomy; Positron-emission tomography

Mesh:

Substances:

Year:  2016        PMID: 26883329     DOI: 10.1007/s00330-016-4227-4

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  37 in total

Review 1.  Neoadjuvant treatment of esophageal cancer.

Authors:  Nicholas P Campbell; Victoria M Villaflor
Journal:  World J Gastroenterol       Date:  2010-08-14       Impact factor: 5.742

2.  Recursive partitioning for the identification of disease risk subgroups: a case-control study of subarachnoid hemorrhage.

Authors:  L M Nelson; D A Bloch; W T Longstreth; H Shi
Journal:  J Clin Epidemiol       Date:  1998-03       Impact factor: 6.437

Review 3.  Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes.

Authors:  J V Tu
Journal:  J Clin Epidemiol       Date:  1996-11       Impact factor: 6.437

4.  Prediction of occult lymph node metastasis by metabolic parameters in patients with clinically N0 esophageal squamous cell carcinoma.

Authors:  Seung Hwan Moon; Ho Seong Kim; Seung Hyup Hyun; Yong Soo Choi; Jae Ill Zo; Young Mog Shim; Kyung-Han Lee; Byung-Tae Kim; Joon Young Choi
Journal:  J Nucl Med       Date:  2014-04-03       Impact factor: 10.057

5.  The threshold approach to clinical decision making.

Authors:  S G Pauker; J P Kassirer
Journal:  N Engl J Med       Date:  1980-05-15       Impact factor: 91.245

6.  The utility of positron emission tomography in staging of potentially operable carcinoma of the thoracic esophagus: results of the American College of Surgeons Oncology Group Z0060 trial.

Authors:  Bryan F Meyers; Robert J Downey; Paul A Decker; Robert J Keenan; Barry A Siegel; Robert J Cerfolio; Rodney J Landreneau; Carolyn E Reed; Dennis M Balfe; Farrokh Dehdashti; Karla V Ballman; Valerie W Rusch; Joe B Putnam
Journal:  J Thorac Cardiovasc Surg       Date:  2007-03       Impact factor: 5.209

7.  Case volume as a predictor of inpatient mortality after esophagectomy.

Authors:  Michael Rodgers; Blair A Jobe; Robert W O'Rourke; Brett Sheppard; Brian Diggs; John G Hunter
Journal:  Arch Surg       Date:  2007-09

8.  Apparent diffusion coefficient modifications in assessing gastro-oesophageal cancer response to neoadjuvant treatment: comparison with tumour regression grade at histology.

Authors:  Francesco De Cobelli; Francesco Giganti; Elena Orsenigo; Michaela Cellina; Antonio Esposito; Giulia Agostini; Luca Albarello; Elena Mazza; Alessandro Ambrosi; Carlo Socci; Carlo Staudacher; Alessandro Del Maschio
Journal:  Eur Radiol       Date:  2013-04-16       Impact factor: 5.315

Review 9.  Imaging strategies in the management of oesophageal cancer: what's the role of MRI?

Authors:  Peter S N van Rossum; Richard van Hillegersberg; Frederiek M Lever; Irene M Lips; Astrid L H M W van Lier; Gert J Meijer; Maarten S van Leeuwen; Marco van Vulpen; Jelle P Ruurda
Journal:  Eur Radiol       Date:  2013-02-13       Impact factor: 5.315

10.  Pragmatic staging of oesophageal cancer using decision theory involving selective endoscopic ultrasonography, PET and laparoscopy.

Authors:  J M Findlay; K M Bradley; E J Maile; B Braden; J Maw; J Phillips-Hughes; R S Gillies; N D Maynard; M R Middleton
Journal:  Br J Surg       Date:  2015-09-07       Impact factor: 6.939

View more
  8 in total

Review 1.  Personalized therapy based on image for esophageal or gastroesophageal junction adenocarcinoma.

Authors:  Kazuto Harada; Dilsa Mizrak Kaya; Anthony Lopez; Hideo Baba; Jaffer A Ajani
Journal:  Ann Transl Med       Date:  2018-02

2.  Early Metabolic Change after Induction Chemotherapy Predicts Histologic Response and Prognosis in Patients with Esophageal Cancer: Secondary Analysis of a Randomized Trial.

Authors:  Kazuto Harada; Xuemei Wang; Yusuke Shimodaira; Tara Sagebiel; Manoop S Bhutani; Jeffrey H Lee; Brian Weston; Elena Elimova; Quan Lin; Fatemeh G Amlashi; Dilsa Mizrak Kaya; Anthony Lopez; Mariela A Blum Murphy; Jack A Roth; Stephen G Swisher; Heath D Skinner; Wayne L Hofstetter; Jane E Rogers; Irene Thomas; Dipen M Maru; Ritsuko Komaki; Garrett Walsh; Jaffer A Ajani
Journal:  Target Oncol       Date:  2018-02       Impact factor: 4.493

3.  Added value of MRI to endoscopic and endosonographic response assessment after neoadjuvant chemoradiotherapy in oesophageal cancer.

Authors:  Sophie E Vollenbrock; Jolanda M van Dieren; Francine E M Voncken; Sietze T van Turenhout; Liudmila L Kodach; Koen J Hartemink; Johanna W van Sandick; Berthe M P Aleman; Regina G H Beets-Tan; Annemarieke Bartels-Rutten
Journal:  Eur Radiol       Date:  2020-01-21       Impact factor: 5.315

4.  Prediction and diagnosis of interval metastasis after neoadjuvant chemoradiotherapy for oesophageal cancer using 18F-FDG PET/CT.

Authors:  Lucas Goense; Jelle P Ruurda; Brett W Carter; Penny Fang; Linus Ho; Gert J Meijer; Richard van Hillegersberg; Wayne L Hofstetter; Steven H Lin
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-16       Impact factor: 9.236

5.  Temporal validation of metabolic nodal response of esophageal cancer to neoadjuvant chemotherapy as an independent predictor of unresectable disease, survival, and recurrence.

Authors:  John M Findlay; Edward Dickson; Cristina Fiorani; Kevin M Bradley; Somnath Mukherjee; Richard S Gillies; Nicholas D Maynard; Mark R Middleton
Journal:  Eur Radiol       Date:  2019-07-05       Impact factor: 5.315

Review 6.  PET/CT for Predicting Occult Lymph Node Metastasis in Gastric Cancer.

Authors:  Danyu Ma; Ying Zhang; Xiaoliang Shao; Chen Wu; Jun Wu
Journal:  Curr Oncol       Date:  2022-09-11       Impact factor: 3.109

7.  A DNA-damage immune response assay combined with PET biomarkers predicts response to neo-adjuvant chemotherapy and survival in oesophageal adenocarcinoma.

Authors:  Kieran G Foley; Anita Lavery; Eoin Napier; David Campbell; Martin M Eatock; Richard D Kennedy; Kevin M Bradley; Richard C Turkington
Journal:  Sci Rep       Date:  2021-06-22       Impact factor: 4.379

8.  Routinely staging gastric cancer with 18F-FDG PET-CT detects additional metastases and predicts early recurrence and death after surgery.

Authors:  John M Findlay; Stefan Antonowicz; Ashvina Segaran; Jihene El Kafsi; Alexa Zhang; Kevin M Bradley; Richard S Gillies; Nicholas D Maynard; Mark R Middleton
Journal:  Eur Radiol       Date:  2019-01-14       Impact factor: 5.315

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.