Literature DB >> 23751931

Radiological detection of extracapsular spread in head and neck squamous cell carcinoma (HNSCC) cervical metastases.

C Url1, V H Schartinger, H Riechelmann, R Glückert, H Maier, M Trumpp, G Widmann.   

Abstract

BACKGROUND: Extracapsular spread of cervical lymph nodes deteriorates the prognosis of patients with head and neck squamous cell carcinoma. Postoperative radiochemotherapy is superior to postoperative radiotherapy alone in patients with histologically proven extracapsular spread. If extracapsular spread can be detected preoperatively, patients may favor primary radiochemotherapy instead of primary surgery plus postoperative radiochemotherapy.
METHODS: Computed tomography (CT) scans of nodal positive head and neck squamous cell carcinoma patients treated between 2008 and 2010 with comprehensive neck dissection as part of first line surgical treatment were retrospectively scanned for extracapsular spread by two blinded radiologists. If a positive lymph node was identified by the pathologist, CT scans were assessed for extracapsular spread retrospectively. CT criteria for Extracapsular spread were apparent fat and soft tissue infiltration or infiltration of sternocleidomastoid muscle, internal jugular vein or carotid artery. Radiologic judgment was compared with histological evidence of extracapsular spread and specificity and sensitivity of CT detection was calculated.
RESULTS: Forty-nine patients with histologically proven positive lymph nodes (pN+) were included. Extracapsular spread was histologically proven in 17 cases; the number of all affected lymph nodes was not listed. Radiologist 1 found extracapsular spread in CT scans of 15/49 patients and radiologist 2 in 16/49 patients (Cohen's kappa=0.86; p<0.01). Sensitivity of radiologic extracapsular spread detection was 73% (95% confidential index (CI): 44.0-89.7%) and specificity 91% (75.0-98.0%).
CONCLUSION: Extracapsular spread depicted on computed tomography using strict criteria has high specificity.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  CT; Extracapsular spread; Head and neck neoplasm; Lymph node metastases

Mesh:

Year:  2013        PMID: 23751931     DOI: 10.1016/j.ejrad.2013.04.024

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  10 in total

1.  CT-based Radiomic Signatures for Predicting Histopathologic Features in Head and Neck Squamous Cell Carcinoma.

Authors:  Pritam Mukherjee; Murilo Cintra; Chao Huang; Mu Zhou; Shankuan Zhu; A Dimitrios Colevas; Nancy Fischbein; Olivier Gevaert
Journal:  Radiol Imaging Cancer       Date:  2020-05-15

2.  MicroRNA-375 Suppresses Extracellular Matrix Degradation and Invadopodial Activity in Head and Neck Squamous Cell Carcinoma.

Authors:  Lizandra Jimenez; Ved P Sharma; John Condeelis; Thomas Harris; Thomas J Ow; Michael B Prystowsky; Geoffrey Childs; Jeffrey E Segall
Journal:  Arch Pathol Lab Med       Date:  2015-07-14       Impact factor: 5.534

3.  Computed tomography detection of extracapsular spread of squamous cell carcinoma of the head and neck in metastatic cervical lymph nodes.

Authors:  Joshua A Carlton; Adam W Maxwell; Lyndsey B Bauer; Sara M McElroy; Lester J Layfield; Humera Ahsan; Ajay Agarwal
Journal:  Neuroradiol J       Date:  2017-03-08

4.  The diagnostic performance of CT and MRI for detecting extranodal extension in patients with head and neck squamous cell carcinoma: a systematic review and diagnostic meta-analysis.

Authors:  Sang Ik Park; Jeffrey P Guenette; Chong Hyun Suh; Glenn J Hanna; Sae Rom Chung; Jung Hwan Baek; Jeong Hyun Lee; Young Jun Choi
Journal:  Eur Radiol       Date:  2020-09-19       Impact factor: 5.315

Review 5.  Critical Changes in the Staging of Head and Neck Cancer.

Authors:  Christine M Glastonbury
Journal:  Radiol Imaging Cancer       Date:  2020-01-31

6.  Objective and subjective image quality of primary and recurrent squamous cell carcinoma on head and neck low-tube-voltage 80-kVp computed tomography.

Authors:  Jan-Erik Scholtz; Moritz Kaup; Johannes Kraft; Eva-Maria Nöske; Friedrich Scheerer; Boris Schulz; Iris Burck; Jens Wagenblast; J Matthias Kerl; Ralf W Bauer; Thomas Lehnert; Thomas J Vogl; Julian L Wichmann
Journal:  Neuroradiology       Date:  2015-03-26       Impact factor: 2.804

7.  Pretreatment Identification of Head and Neck Cancer Nodal Metastasis and Extranodal Extension Using Deep Learning Neural Networks.

Authors:  Benjamin H Kann; Sanjay Aneja; Gokoulakrichenane V Loganadane; Jacqueline R Kelly; Stephen M Smith; Roy H Decker; James B Yu; Henry S Park; Wendell G Yarbrough; Ajay Malhotra; Barbara A Burtness; Zain A Husain
Journal:  Sci Rep       Date:  2018-09-19       Impact factor: 4.379

8.  Benchmarking Eliminative Radiomic Feature Selection for Head and Neck Lymph Node Classification.

Authors:  Zoltan R Bardosi; Daniel Dejaco; Matthias Santer; Marcel Kloppenburg; Stephanie Mangesius; Gerlig Widmann; Ute Ganswindt; Gerhard Rumpold; Herbert Riechelmann; Wolfgang Freysinger
Journal:  Cancers (Basel)       Date:  2022-01-18       Impact factor: 6.639

9.  Prognostic Value of Radiological Extranodal Extension Detected by Computed Tomography for Predicting Outcomes in Patients With Locally Advanced Head and Neck Squamous Cell Cancer Treated With Radical Concurrent Chemoradiotherapy.

Authors:  Abhishek Mahajan; Ankur Chand; Ujjwal Agarwal; Vijay Patil; Richa Vaish; Vanita Noronha; Amit Joshi; Akhil Kapoor; Nilesh Sable; Ankita Ahuja; Shreya Shukla; Nandini Menon; Jai Prakash Agarwal; Sarbani Ghosh Laskar; Anil D' Cruz; Pankaj Chaturvedi; Devendra Chaukar; P S Pai; Gouri Pantvaidya; Shivakumar Thiagarajan; Swapnil Rane; Kumar Prabhash
Journal:  Front Oncol       Date:  2022-05-27       Impact factor: 5.738

Review 10.  The Evolution of Care of Cancers of the Head and Neck Region: State of the Science in 2020.

Authors:  Flora Yan; Hannah M Knochelmann; Patrick F Morgan; John M Kaczmar; David M Neskey; Evan M Graboyes; Shaun A Nguyen; Besim Ogretmen; Anand K Sharma; Terry A Day
Journal:  Cancers (Basel)       Date:  2020-06-11       Impact factor: 6.639

  10 in total

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