The role of interstitial brachytherapy with salvage surgery for the management of recurrent head and neck cancers

Cancer ◽  
2007 ◽  
Vol 109 (10) ◽  
pp. 2052-2057 ◽  
Author(s):  
Michael E. Kupferman ◽  
William H. Morrison ◽  
Alfredo A. Santillan ◽  
Dianna Roberts ◽  
Eduardo M. Diaz ◽  
...  
Brachytherapy ◽  
2005 ◽  
Vol 4 (2) ◽  
pp. 154-162 ◽  
Author(s):  
Robert C. Krempien ◽  
Christian Grehn ◽  
Claudia Haag ◽  
Anika Straulino ◽  
Frank W. Hensley ◽  
...  

Author(s):  
R.S. Bilimagga ◽  
K. Swamy ◽  
B.S. Ajaikumar ◽  
P.S. Sridhar ◽  
S. Bhattacharjee ◽  
...  

2021 ◽  
Vol 135 (11) ◽  
pp. 970-975
Author(s):  
A Rovira ◽  
J Tornero ◽  
M Taberna ◽  
M Oliva ◽  
R Montal ◽  
...  

AbstractObjectiveThis study aimed to evaluate the effectiveness of computed tomography and positron emission tomography-computed tomography prior to salvage surgery after head and neck carcinoma treated with bioradiotherapy and to look at the role of neck dissection in this setting.MethodThis study was a retrospective chart review of a series of consecutive patients with locally advanced head and neck squamous cell carcinoma treated with bioradiotherapy. Radiological and pathological stages were compared to evaluate the accuracy of computed tomography and positron emission tomography-computed tomography in detecting occult neck metastasis in the context of recurrence of primary tumour. In order to assess the impact of neck dissection on survival, Kaplan–Meier survival curves after salvage surgery with and without neck dissection were derived.ResultsA total of 268 patients were identified, of which 22 underwent salvage surgery. The negative predictive value of computed tomography and positron emission tomography-computed tomography was excellent. Neck dissection did not represent an improvement on overall, disease specific and regional recurrence free survival (p = 0.67, p = 0.91 and p = 0.62, respectively) amongst clinically and radiologically negative necks.ConclusionConservative treatment of the neck should be considered when dealing with patients with primary site recurrence or persistent disease after bioradiotherapy without evidence of neck disease.


2021 ◽  
Vol 108 (Supplement_6) ◽  
Author(s):  
A Rajgor ◽  
A McQueen ◽  
T Ali ◽  
E Aboagye ◽  
B Obara ◽  
...  

Abstract Background Radiomics is a novel method of extracting data from medical images that is difficult to visualise through the naked eye. This technique transforms digital images that hold information on pathology into high-dimensional-data for analysis. Radiomics has the potential to enhance laryngeal cancer care and to date, has shown promise in various other specialties. Aim The aim of this review is to summarise the applications of this technique to laryngeal cancer and potential future benefits. Method A comprehensive systematic review-informed search of the MEDLINE and EMBASE online databases was undertaken. Keywords ‘laryngeal cancer’ OR ‘larynx’ OR ‘larynx cancer’ OR ‘head and neck cancer’ were combined with ‘radiomic’ OR ‘signature’ OR ‘machine learning’ OR ‘artificial intelligence’. Additional articles were obtained from bibliographies using the ‘snowball method’. Results Seventeen articles were identified that evaluated the role of radiomics in laryngeal cancer. Two studies affirmed the value of radiomics in improving the accuracy of staging, whilst fifteen studies highlighted the potential prognostic value of radiomics in laryngeal cancer. Twelve (of thirteen) studies incorporated an array of different head and neck cancers in the analysis and only one study assessed laryngeal cancer exclusively. Conclusions Literature to date has various limitations including, small and heterogeneous cohorts incorporating patients with head and neck cancers of distinct anatomical subsites and stages. The lack of uniform data on solely laryngeal cancer and radiomics means drawing conclusions is difficult, although these studies have affirmed its value. Further large prospective studies exclusively in laryngeal cancer are required to unlock its true potential.


2018 ◽  
Vol 127 ◽  
pp. S571
Author(s):  
V. Pareek ◽  
R. Bhalavat ◽  
M. Chandra ◽  
P. Nandakumar ◽  
P. Bauskar ◽  
...  

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