Literature DB >> 22154129

Accuracy of MRI in prediction of tumour thickness and nodal stage in oral squamous cell carcinoma.

Christine T Lwin1, Rebecca Hanlon, Derek Lowe, James S Brown, Julia A Woolgar, Asterios Triantafyllou, Simon N Rogers, Fazilet Bekiroglu, Huw Lewis-Jones, Hulya Wieshmann, Richard J Shaw.   

Abstract

We aim to compare radiological with histological tumour thickness (RTT with HTT) for oral squamous cell carcinoma (OSCC), and the ability of both to predict cervical metastasis. The MRI images and histopathology reports of 102 consecutive OSCC cases were compared and the relationship between RTT and HTT, calculated as a "shrinkage factor" by the gradient of the best fitting regression line. Most (69%) tumours appeared thicker on MRI than was revealed by histopathology. Shrinkage factor was 0.70 (interquartile range 0.63-0.77, correlation co-efficient 0.63) for all cases, 0.87 (IQR 0.80-0.95, CC 0.88) for tongue and 0.65 (IQR 0.49-0.82, CC 0.45) for floor of mouth sub-sites. RTT did not correlate well with the presence of nodal metastases in any sub-site, i.e. there was no clinically applicable cut-off value of RTT to determine the prescription of elective neck dissection. Although RTT has some predictable relationship with HTT, this varies between sub-sites with tongue the most accurately predicted shrinkage using axial MRI. It is not possible from either the MRI staging of neck or tumour thickness to safely determine the need for neck dissection in OSCC. It is necessary to re-evaluate the benefit of MRI as a staging investigation (particularly for early stage OSCC) and further explore the contribution of molecular biomarkers and ultrasound.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22154129     DOI: 10.1016/j.oraloncology.2011.11.002

Source DB:  PubMed          Journal:  Oral Oncol        ISSN: 1368-8375            Impact factor:   5.337


  18 in total

1.  Tumor thickness as an independent risk factor of early recurrence in oral cavity squamous cell carcinoma.

Authors:  Fábio Roberto Pinto; Leandro Luongo de Matos; Filipe Cavalcanti Palermo; Marco Aurélio Vamondes Kulcsar; Beatriz Godói Cavalheiro; Evandro Sobroza de Mello; Venâncio Avancini Ferreira Alves; Cláudio Roberto Cernea; Lenine Garcia Brandão
Journal:  Eur Arch Otorhinolaryngol       Date:  2013-09-27       Impact factor: 2.503

2.  Clinical significance of three-dimensional measurement of tumour thickness on magnetic resonance imaging in patients with oral tongue squamous cell carcinoma.

Authors:  Minsu Kwon; Hyun Moon; Soon Yuhl Nam; Jeong Hyun Lee; Ji Won Kim; Yoon-Se Lee; Jong-Lyel Roh; Seung-Ho Choi; Sang-Yoon Kim
Journal:  Eur Radiol       Date:  2015-06-25       Impact factor: 5.315

3.  Differentiation of benign and malignant lesions of the tongue by using diffusion-weighted MRI at 3.0 T.

Authors:  S Li; J Cheng; Y Zhang; Z Zhang
Journal:  Dentomaxillofac Radiol       Date:  2015-03-31       Impact factor: 2.419

4.  Validation of the 8th edition of the AJCC/UICC TNM staging system for tongue squamous cell carcinoma.

Authors:  Satoshi Kano; Tomohiro Sakashita; Nayuta Tsushima; Takatsugu Mizumachi; Akira Nakazono; Takayoshi Suzuki; Shinichiro Yasukawa; Akihiro Homma
Journal:  Int J Clin Oncol       Date:  2018-04-19       Impact factor: 3.402

5.  The role of prophylactic neck dissection and tumor thickness evaluation for patients with cN0 tongue squamous cell carcinoma.

Authors:  Nayuta Tsushima; Tomohiro Sakashita; Akihiro Homma; Hiromitsu Hatakeyama; Satoshi Kano; Takatsugu Mizumachi; Tomohiko Kakizaki; Takayoshi Suzuki; Satoshi Fukuda
Journal:  Eur Arch Otorhinolaryngol       Date:  2016-05-05       Impact factor: 2.503

6.  High detection sensitivity and reliable morphological correlation of PET with a silicon photomultiplier for primary tongue squamous cell carcinoma.

Authors:  Ikuho Kojima; Kentaro Takanami; Takenori Ogawa; Maya Sakamoto; Hirokazu Nagai; Hitoshi Miyashita; Masahiro Iikubo
Journal:  Ann Nucl Med       Date:  2020-06-20       Impact factor: 2.668

Review 7.  Computed tomography versus magnetic resonance imaging for diagnosing cervical lymph node metastasis of head and neck cancer: a systematic review and meta-analysis.

Authors:  J Sun; B Li; C J Li; Y Li; F Su; Q H Gao; F L Wu; T Yu; L Wu; L J Li
Journal:  Onco Targets Ther       Date:  2015-06-08       Impact factor: 4.147

8.  Diagnostic value of retrospective PET-MRI fusion in head-and-neck cancer.

Authors:  Denys J Loeffelbein; Michael Souvatzoglou; Veronika Wankerl; Julia Dinges; Lucas M Ritschl; Thomas Mücke; Anja Pickhard; Matthias Eiber; Markus Schwaiger; Ambros J Beer
Journal:  BMC Cancer       Date:  2014-11-19       Impact factor: 4.430

9.  SERPINE1 and SMA expression at the invasive front predict extracapsular spread and survival in oral squamous cell carcinoma.

Authors:  J Dhanda; A Triantafyllou; T Liloglou; H Kalirai; B Lloyd; R Hanlon; R J Shaw; D R Sibson; J M Risk
Journal:  Br J Cancer       Date:  2014-09-30       Impact factor: 7.640

10.  Computerized tomography based tumor-thickness measurement is useful to predict postoperative pathological tumor thickness in oral tongue squamous cell carcinoma.

Authors:  J Madana; Frederick Laliberté; Grégoire B Morand; Deeke Yolmo; Martin J Black; Alex M Mlynarek; Michael P Hier
Journal:  J Otolaryngol Head Neck Surg       Date:  2015-11-16
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