Literature DB >> 22326119

Computed tomography image characteristics of metastatic lymph nodes in patients with squamous cell carcinoma of the head and neck.

Shih-Han Hung1, Chien-Yu Lin, Jui-Ying Lee, How Tseng.   

Abstract

OBJECTIVE: Metastatic neck nodes are commonly described as "heterogenous" or "inhomogenous" on computed tomographic (CT) images, and this remains a highly subjective issue. The purpose of this study is to justify classical criteria and to develop novel supplemental methods for diagnosing a positive neck node on CT scans.
METHODS: Fifty-four patients with H&N SCC were separated into two groups according to their neck nodal status. CT scan digital images were used and the lymph node borders were selected by a radiologist. Lymph node images from the pathologically proven N- (negative for cervical metastases) group were compared to the N+ (positive for cervical metastases) group. Image-analysis software, ImageJ, was used to record and compare various characteristics collected from the images.
RESULTS: The image-analysis comparisons shows, the area (size) of the lymph node in the N+ group is much larger than the N- group (474.02 VS.81.55mm(2)) (P<0.01). There are no significant differences with regards to distribution of pixel values between the two groups (P=0.79). The lacunarity, a parameter used to describe gappiness or inhomogeneity, of the N+ group was significantly higher than the N- group (P=0.026).
CONCLUSIONS: While size of the lymph node remains an important factor in the interpretation of a clinically suspicious lymph node metastasis on CT scan images, the distribution of pixel values could not clarify a heterogeneous state. Nevertheless, 'lacunarity' proves to be a more accurate parameter which correlates better to the subjective heterogeneity.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22326119     DOI: 10.1016/j.anl.2011.10.017

Source DB:  PubMed          Journal:  Auris Nasus Larynx        ISSN: 0385-8146            Impact factor:   1.863


  7 in total

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2.  Computed Tomography of Lymph Node Metastasis Before and After Radiation Therapy: Correlations With Residual Tumour.

Authors:  Naoya Ishibashi; Toshiya Maebayashi; Haruna Nishimaki; Masahiro Okada
Journal:  In Vivo       Date:  2020 Sep-Oct       Impact factor: 2.155

3.  Prognostic factors of cervical node status in head and neck squamous cell carcinoma.

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Journal:  World J Surg Oncol       Date:  2015-02-15       Impact factor: 2.754

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Authors:  Isa Mambetsariev; Tamara Mirzapoiazova; Frances Lennon; Mohit Kumar Jolly; Haiqing Li; Mohd W Nasser; Lalit Vora; Prakash Kulkarni; Surinder K Batra; Ravi Salgia
Journal:  J Clin Med       Date:  2019-07-16       Impact factor: 4.241

5.  Post mortem computed tomography meets radiomics: a case series on fractal analysis of post mortem changes in the brain.

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6.  Quantification of Structural Heterogeneity Using Fractal Analysis of Contrast-Enhanced CT Image to Predict Survival in Gastric Cancer Patients.

Authors:  Hiroki Watanabe; Koichi Hayano; Gaku Ohira; Shunsuke Imanishi; Toshiharu Hanaoka; Atsushi Hirata; Masayuki Kano; Hisahiro Matsubara
Journal:  Dig Dis Sci       Date:  2020-07-20       Impact factor: 3.199

7.  Use of a Radiomics Model to Predict Tumor Invasiveness of Pulmonary Adenocarcinomas Appearing as Pulmonary Ground-Glass Nodules.

Authors:  Xing Xue; Yong Yang; Qiang Huang; Feng Cui; Yuqing Lian; Siying Zhang; Linpeng Yao; Wei Peng; Xin Li; Peipei Pang; Jianhua Yan; Feng Chen
Journal:  Biomed Res Int       Date:  2018-06-13       Impact factor: 3.411

  7 in total

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