Literature DB >> 33370639

Measurement variations of MRI and CT in the assessment of tumor depth of invasion in oral cancer: A retrospective study.

Tobias Waech1, Shila Pazahr2, Vittoria Guarda1, Niels J Rupp3, Martina A Broglie1, Grégoire B Morand4.   

Abstract

PURPOSE: In oral squamous cell carcinoma (OSCC), depth of invasion (DOI) is an important predictive, prognostic, and staging parameter. While it is known that DOI can be estimated from preoperative imaging, an analysis of measurements variations according to imaging modality and to depth of tumor itself is lacking. The aim of the study was to assess the accuracy of imaging-based estimation of DOI in relation with the tumor histological DOI.
METHODS: We retrospectively reviewed 121 patients with OSCC treated at University Hospital Zurich. The radiologic DOI of CT, T1-weighted, and T2-weighted MRI were compared with histological DOI. Frequency of relevant imaging artifacts was assessed as well.
RESULTS: A total of 110 CT (90.9 %) and 90 MRI (74 %) were analyzed. Both modalities were available for 79 patients (65.3 %). The median histological depth of invasion was 9 mm (IQR 4.5-14). The median depth of invasion was 14 mm (IQR 10-20) on CT, 13 mm (IQR 8.25-18) on T1-weighted MRI, and 13 mm (IQR 9-18.75) on T2-weighted MRI. All diagnostic modalities tended towards an overestimation of the histopathologic DOI from about 5-15 %. This trend was most pronounced for thin tumors, for which both CT and MRI lead to upstaging in over 50 % of the cases. For 25 (22.7 %) patients, dental scattering on CT rendered DOI not estimable. For MRI, 18 patients (20 %) had artifacts (blooming, motion artifacts) rendering DOI not estimable.
CONCLUSION: CT and MRI measurements of DOI in OSCC lead to an overestimation of histological DOI, especially in tumors with DOI<5 mm, with upstaging by imaging in over 50 % of the cases. Artifacts were present in more than 20 % of performed images.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Carcinoma; Lymph nodes; Magnetic resonance imaging; Mouth neoplasms; Squamous cell; Tomography; X-ray computed

Mesh:

Year:  2020        PMID: 33370639     DOI: 10.1016/j.ejrad.2020.109480

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


  5 in total

1.  Usefulness of reconstructed images of Gd-enhanced 3D gradient echo sequences with compressed sensing for mandibular cancer diagnosis: comparison with CT images and histopathological findings.

Authors:  Yukiko Kami; Toru Chikui; Osamu Togao; Shintaro Kawano; Shinsuke Fujii; Masahiro Ooga; Tamotsu Kiyoshima; Kazunori Yoshiura
Journal:  Eur Radiol       Date:  2022-08-20       Impact factor: 7.034

2.  Preoperative Prediction of the Aggressiveness of Oral Tongue Squamous Cell Carcinoma with Quantitative Parameters from Dual-Energy Computed Tomography.

Authors:  Xieqing Yang; Huijun Hu; Fang Zhang; Dongye Li; Zehong Yang; Guangzi Shi; Guoxiong Lu; Yusong Jiang; Lingjie Yang; Yu Wang; Xiaohui Duan; Jun Shen
Journal:  Front Oncol       Date:  2022-06-23       Impact factor: 5.738

3.  Diagnostic and prognostic value of magnetic resonance imaging in the detection of tumor depth of invasion and bone invasion in patients with oral cavity cancer.

Authors:  Antonio Lo Casto; Roberto Cannella; Rossana Taravella; Adriana Cordova; Daniele Matta; Giuseppina Campisi; Massimo Attanasio; Gaetana Rinaldi; Vito Rodolico
Journal:  Radiol Med       Date:  2022-10-18       Impact factor: 6.313

4.  Comparative study on efficacy and safety of ultrasound guided transoral and transcutaneous core needle biopsy in patients with oral masses.

Authors:  Ting Wei; Man Lu; Juan Li; Ziyue Hu; Tingting Li; Xueqing Cheng; Lu Wang; Wei Pu
Journal:  BMC Med Imaging       Date:  2022-04-07       Impact factor: 1.930

5.  Predicting the Proliferation of Tongue Cancer With Artificial Intelligence in Contrast-Enhanced CT.

Authors:  Ting-Guan Sun; Liang Mao; Zi-Kang Chai; Xue-Meng Shen; Zhi-Jun Sun
Journal:  Front Oncol       Date:  2022-04-08       Impact factor: 5.738

  5 in total

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