Literature DB >> 33389599

Pre-treatment MRI predictor of high-grade malignant parotid gland cancer.

Akira Baba1, Hisashi Kessoku2, Taisuke Akutsu2, Eiji Shimura2, Satoshi Matsushima3, Ryo Kurokawa4, Yoshiaki Ota5, Takayuki Suzuki3, Yuki Kawasumi3, Hideomi Yamauchi3, Koshi Ikeda3, Hiroya Ojiri3.   

Abstract

OBJECTIVES: We aimed to evaluate pre-treatment MRI predictors of high-grade malignant parotid gland cancer by comparing MRI findings and texture parameters between high-grade and intermediate/low-grade parotid gland cancers.
METHODS: Patients underwent a pre-treatment MRI and had a parotid gland cancer resection with pathological evaluation. Evaluation objectives included attributive factors such as age and gender, several MRI findings of T1- and T2-weighted images, post-contrast fat suppression T1-weighted images, ADC value and 40 texture parameters calculated from T2-weighted axial images. Such objects were compared between high-grade and intermediate/low-grade lesions.
RESULTS: Of the parotid gland cancers surveyed, 39 were included for analysis. Of these, 18 were high-grade lesions, 2 were intermediate-grade lesions, and 19 were low-grade lesions. The high-grade group was significantly older than the low- and intermediate-grade groups (p = 0.01). There were more males in the high-grade group than in the low- and intermediate-grade groups (p = 0.01). There were also significantly more MRI findings of neck lymph node metastases in the high-grade group than in the low- and intermediate-grade groups (p < 0.001). Other MRI findings and texture parameters did not show significant differences between the two groups (p = 0.07-1.00).
CONCLUSIONS: Morphological assessment on MRI and texture parameters alone is not sufficient to estimate the grade of parotid cancer. MRI findings of neck lymph node metastases, as well as patient characteristics such as age (older patients) and gender (male) can be suggestive of high-grade parotid gland cancer in pre-treatment evaluation.

Entities:  

Keywords:  MRI; Neck lymph node metastasis; Parotid gland cancer; Texture parameters

Year:  2021        PMID: 33389599     DOI: 10.1007/s11282-020-00498-z

Source DB:  PubMed          Journal:  Oral Radiol        ISSN: 0911-6028            Impact factor:   1.852


  5 in total

1.  Role of quantitative computed tomography texture analysis in the differentiation of primary lung cancer and granulomatous nodules.

Authors:  Carole Dennie; Rebecca Thornhill; Vineeta Sethi-Virmani; Carolina A Souza; Hamid Bayanati; Ashish Gupta; Donna Maziak
Journal:  Quant Imaging Med Surg       Date:  2016-02

2.  Oral cavity squamous cell carcinoma: role of pretreatment imaging and its influence on management.

Authors:  S Arya; P Rane; A Deshmukh
Journal:  Clin Radiol       Date:  2014-06-05       Impact factor: 2.350

3.  CT Texture Analysis of Cervical Lymph Nodes on Contrast-Enhanced [18F] FDG-PET/CT Images to Differentiate Nodal Metastases from Reactive Lymphadenopathy in HIV-Positive Patients with Head and Neck Squamous Cell Carcinoma.

Authors:  H Kuno; N Garg; M M Qureshi; M N Chapman; B Li; S K Meibom; M T Truong; K Takumi; O Sakai
Journal:  AJNR Am J Neuroradiol       Date:  2019-02-21       Impact factor: 3.825

4.  Usefulness of CT texture analysis in differentiating benign and malignant renal tumours.

Authors:  Y Deng; E Soule; E Cui; A Samuel; S Shah; C Lall; C Sundaram; K Sandrasegaran
Journal:  Clin Radiol       Date:  2019-10-24       Impact factor: 2.350

5.  MRI texture analysis for differentiation of malignant and benign hepatocellular tumors in the non-cirrhotic liver.

Authors:  Daniel Stocker; Herman P Marquez; Matthias W Wagner; Dimitri A Raptis; Pierre-Alain Clavien; Andreas Boss; Michael A Fischer; Moritz C Wurnig
Journal:  Heliyon       Date:  2018-11-30
  5 in total

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