Literature DB >> 26797371

Application of Dynamic Contrast-Enhanced MRI Parameters for Differentiating Squamous Cell Carcinoma and Malignant Lymphoma of the Oropharynx.

Mina Park1, Jinna Kim1, Yoon Seong Choi1, Seung-Koo Lee1, Yoon Woo Koh2, Se-Heon Kim2, Eun Chang Choi2.   

Abstract

OBJECTIVE: The purpose of this study was to investigate the usefulness of histogram analysis of dynamic contrast-enhanced MRI (DCE-MRI) parameters for the differentiation of squamous cell carcinoma (SCC) and malignant lymphoma of the oropharynx.
MATERIALS AND METHODS: Pretreatment DCE-MRI was performed in 21 patients with pathologically confirmed oropharyngeal SCC and six patients with malignant lymphoma. DCE-MRI parameter maps including the volume transfer constant (K(trans)), flux rate constant (kep), and extravascular extracellular volume fraction (ve) based on the Tofts model were obtained. Enhancing tumors were manually segmented on each slice of the parameter maps, and the data were collected to obtain a histogram for the entire tumor volume. The Wilcoxon rank sum test was used to compare the histogram parameters of each DCE-MRI-derived variable of oropharyngeal SCC and lymphoma.
RESULTS: Histogram analysis of K(trans) and ve maps revealed that the median and mode of K(trans) were significantly higher in SCC than in lymphoma (p = 0.039 and 0.032, respectively), and the mode, skewness, and kurtosis of ve were significantly different in SCC than in lymphoma (p = 0.046, 0.039, and 0.032, respectively). On ROC analysis, the kurtosis of ve had the best discriminative value for distinguishing between oropharyngeal SCC and lymphoma (AUC, 0.865; cutoff value, 2.60; sensitivity, 83.3%; specificity, 90.5%).
CONCLUSION: Our preliminary evidence using histogram analysis of DCE-MRI parameters based on the whole tumor volume suggests that it might be useful for differentiating SCC from malignant lymphoma of the oropharynx.

Entities:  

Keywords:  MRI; head and neck cancer; histogram analysis; lymphoma; squamous cell carcinoma

Mesh:

Substances:

Year:  2016        PMID: 26797371     DOI: 10.2214/AJR.15.14550

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  8 in total

1.  Differential diagnostic value of diffusion-weighted and dynamic contrast-enhanced MR imaging in non-cystic lesions in floor of the mouth.

Authors:  Ying Yuan; Mengda Jiang; Lizhong Wu; Xiaofeng Tao
Journal:  Dentomaxillofac Radiol       Date:  2018-11-30       Impact factor: 2.419

2.  Histogram analysis of DCE-MRI for chemoradiotherapy response evaluation in locally advanced esophageal squamous cell carcinoma.

Authors:  Na-Na Sun; Xiao-Lin Ge; Xi-Sheng Liu; Lu-Lu Xu
Journal:  Radiol Med       Date:  2019-10-11       Impact factor: 3.469

Review 3.  Role of Texture Analysis in Oropharyngeal Carcinoma: A Systematic Review of the Literature.

Authors:  Eleonora Bicci; Cosimo Nardi; Leonardo Calamandrei; Michele Pietragalla; Edoardo Cavigli; Francesco Mungai; Luigi Bonasera; Vittorio Miele
Journal:  Cancers (Basel)       Date:  2022-05-16       Impact factor: 6.575

Review 4.  Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.

Authors:  Domenico Albano; Federico Bruno; Andrea Agostini; Salvatore Alessio Angileri; Massimo Benenati; Giulia Bicchierai; Michaela Cellina; Vito Chianca; Diletta Cozzi; Ginevra Danti; Federica De Muzio; Letizia Di Meglio; Francesco Gentili; Giuliana Giacobbe; Giulia Grazzini; Irene Grazzini; Pasquale Guerriero; Carmelo Messina; Giuseppe Micci; Pierpaolo Palumbo; Maria Paola Rocco; Roberto Grassi; Vittorio Miele; Antonio Barile
Journal:  Jpn J Radiol       Date:  2021-12-24       Impact factor: 2.374

5.  Using arterial spin labeling blood flow and its histogram analysis to distinguish early-stage nasopharyngeal carcinoma from lymphoid hyperplasia.

Authors:  Bohan Xiao; Peiguo Wang; Yingru Zhao; Ying Liu; Zhaoxiang Ye
Journal:  Medicine (Baltimore)       Date:  2021-02-26       Impact factor: 1.817

6.  Susceptibility artifacts induced by crowns of different materials with prepared teeth and titanium implants in magnetic resonance imaging.

Authors:  Xiaomeng Gao; Qianbing Wan; Qingping Gao
Journal:  Sci Rep       Date:  2022-01-10       Impact factor: 4.379

7.  Histogram analysis parameters of dynamic contrast-enhanced magnetic resonance imaging can predict histopathological findings including proliferation potential, cellularity, and nucleic areas in head and neck squamous cell carcinoma.

Authors:  Alexey Surov; Hans Jonas Meyer; Leonard Leifels; Anne-Kathrin Höhn; Cindy Richter; Karsten Winter
Journal:  Oncotarget       Date:  2018-04-20

8.  Assessment of metastatic lymph nodes in head and neck squamous cell carcinomas using simultaneous 18F-FDG-PET and MRI.

Authors:  Jenny Chen; Mari Hagiwara; Babak Givi; Brian Schmidt; Cheng Liu; Qi Chen; Jean Logan; Artem Mikheev; Henry Rusinek; Sungheon Gene Kim
Journal:  Sci Rep       Date:  2020-11-27       Impact factor: 4.379

  8 in total

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