Literature DB >> 32184223

Early Detection of Cancer: Evaluation of MR Imaging Grading Systems in Patients with Suspected Nasopharyngeal Carcinoma.

A D King1, J K S Woo2, Q-Y Ai3, F K F Mo4,5, T Y So6, W K J Lam4,5,7, I O L Tse4,5,7, A C Vlantis2, K W N Yip6, E P Hui3,4,5, B B Y Ma3,4,5, R W K Chiu4,5,7, A T C Chan3,4,5, Y M D Lo4,5,7, K C A Chan4,5,7.   

Abstract

BACKGROUND AND
PURPOSE: We evaluated modifications to our contrast-enhanced MR imaging grading system for symptomatic patients with suspected nasopharyngeal carcinoma, aimed at improving discrimination of early-stage cancer and benign hyperplasia. We evaluated a second non-contrast-enhanced MR imaging grading system for asymptomatic patients from nasopharyngeal carcinoma plasma screening programs.
MATERIALS AND METHODS: Dedicated nasopharyngeal MR imaging before (plain scan system) and after intravenous contrast administration (current and modified systems) was reviewed in patients from a nasopharyngeal carcinoma-endemic region, comprising 383 patients with suspected disease without nasopharyngeal carcinoma and 383 patients with nasopharyngeal carcinoma. The modified and plain scan systems refined primary tumor criteria, added a nodal assessment, and expanded the system from 4 to 5 grades. The overall combined sensitivity and specificity of the 3 systems were compared using the extended McNemar test (a χ2 value [Formula: see text]> 5.99 indicates significance).
RESULTS: The current, modified, and plain scan MR imaging systems yielded sensitivities of 99.74%, 97.91%, and 97.65%, respectively, and specificities of 63.45%, 89.56% and 86.42%, respectively. The modified system yielded significantly better performance than the current ([Formula: see text] = 122) and plain scan ([Formula: see text] = 6.1) systems. The percentages of patients with nasopharyngeal carcinoma in grades 1-2, grade 3, and grades 4-5 for the modified and plain scan MR imaging systems were 0.42% and 0.44%; 6.31% and 6.96%; and 90.36% and 87.79%, respectively. No additional cancers were detected after contrast administration in cases of a plain scan graded 1-2.
CONCLUSIONS: We propose a modified MR imaging grading system that improves diagnostic performance for nasopharyngeal carcinoma detection. Contrast was not valuable for low MR imaging grades, and the plain scan shows potential for use in screening programs.
© 2020 by American Journal of Neuroradiology.

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Year:  2020        PMID: 32184223      PMCID: PMC7077896          DOI: 10.3174/ajnr.A6444

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  18 in total

1.  Cervical lymph node metastasis: assessment of radiologic criteria.

Authors:  M W van den Brekel; H V Stel; J A Castelijns; J J Nauta; I van der Waal; J Valk; C J Meyer; G B Snow
Journal:  Radiology       Date:  1990-11       Impact factor: 11.105

2.  Radiologic criteria of retropharyngeal lymph node metastasis in nasopharyngeal carcinoma treated with radiation therapy.

Authors:  Guo-Yi Zhang; Li-Zhi Liu; Wei-Hong Wei; Yan-Ming Deng; Yi-Zhuo Li; Xue Wen Liu
Journal:  Radiology       Date:  2010-05       Impact factor: 11.105

3.  Neck node metastases from nasopharyngeal carcinoma: MR imaging of patterns of disease.

Authors:  A D King; A T Ahuja; S F Leung; W W Lam; P Teo; Y L Chan; C Metreweli
Journal:  Head Neck       Date:  2000-05       Impact factor: 3.147

4.  The role of cross-sectional imaging in suspected nasopharyngeal carcinoma.

Authors:  A Shayah; L Wickstone; E Kershaw; F Agada
Journal:  Ann R Coll Surg Engl       Date:  2019-03-11       Impact factor: 1.891

5.  MR Imaging Criteria for the Detection of Nasopharyngeal Carcinoma: Discrimination of Early-Stage Primary Tumors from Benign Hyperplasia.

Authors:  A D King; L Y S Wong; B K H Law; K S Bhatia; J K S Woo; Q-Y Ai; T Y Tan; J Goh; K L Chuah; F K F Mo; K C A Chan; A T C Chan; A C Vlantis
Journal:  AJNR Am J Neuroradiol       Date:  2017-12-28       Impact factor: 3.825

6.  Time trends of nasopharyngeal carcinoma in urban Guangzhou over a 12-year period (2000-2011): declines in both incidence and mortality.

Authors:  Ke Li; Guo-Zhen Lin; Ji-Chuan Shen; Qin Zhou
Journal:  Asian Pac J Cancer Prev       Date:  2014

7.  Analysis of Plasma Epstein-Barr Virus DNA to Screen for Nasopharyngeal Cancer.

Authors:  K C Allen Chan; John K S Woo; Ann King; Benny C Y Zee; W K Jacky Lam; Stephen L Chan; Sam W I Chu; Constance Mak; Irene O L Tse; Samantha Y M Leung; Gloria Chan; Edwin P Hui; Brigette B Y Ma; Rossa W K Chiu; Sing-Fai Leung; Andrew C van Hasselt; Anthony T C Chan; Y M Dennis Lo
Journal:  N Engl J Med       Date:  2017-08-10       Impact factor: 91.245

8.  Complementary roles of MRI and endoscopic examination in the early detection of nasopharyngeal carcinoma.

Authors:  A D King; J K S Woo; Q Y Ai; J S M Chan; W K J Lam; I O L Tse; K S Bhatia; B C Y Zee; E P Hui; B B Y Ma; R W K Chiu; A C van Hasselt; A T C Chan; Y M D Lo; K C A Chan
Journal:  Ann Oncol       Date:  2019-06-01       Impact factor: 32.976

9.  Proposed modifications and incorporation of plasma Epstein-Barr virus DNA improve the TNM staging system for Epstein-Barr virus-related nasopharyngeal carcinoma.

Authors:  Rui Guo; Ling-Long Tang; Yan-Ping Mao; Xiao-Jing Du; Lei Chen; Zi-Chen Zhang; Li-Zhi Liu; Li Tian; Xiao-Tong Luo; Yu-Bin Xie; Jian Ren; Ying Sun; Jun Ma
Journal:  Cancer       Date:  2018-10-23       Impact factor: 6.860

10.  Sequencing-based counting and size profiling of plasma Epstein-Barr virus DNA enhance population screening of nasopharyngeal carcinoma.

Authors:  W K Jacky Lam; Peiyong Jiang; K C Allen Chan; Suk H Cheng; Haiqiang Zhang; Wenlei Peng; O Y Olivia Tse; Yu K Tong; Wanxia Gai; Benny C Y Zee; Brigette B Y Ma; Edwin P Hui; Anthony T C Chan; John K S Woo; Rossa W K Chiu; Y M Dennis Lo
Journal:  Proc Natl Acad Sci U S A       Date:  2018-05-14       Impact factor: 11.205

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  6 in total

1.  A convolutional neural network combined with positional and textural attention for the fully automatic delineation of primary nasopharyngeal carcinoma on non-contrast-enhanced MRI.

Authors:  Lun M Wong; Qi Yong H Ai; Darren M C Poon; Macy Tong; Brigette B Y Ma; Edwin P Hui; Lin Shi; Ann D King
Journal:  Quant Imaging Med Surg       Date:  2021-09

2.  Multiparametric dual-energy CT to differentiate stage T1 nasopharyngeal carcinoma from benign hyperplasia.

Authors:  Hesong Shen; Xiaoqian Yuan; Daihong Liu; Chunrong Tu; Xing Wang; Renwei Liu; Xiaoxia Wang; Xiaosong Lan; Kaiwen Fu; Jiuquan Zhang
Journal:  Quant Imaging Med Surg       Date:  2021-09

Review 3.  Nasopharyngeal carcinoma: an evolving paradigm.

Authors:  Kenneth C W Wong; Edwin P Hui; Kwok-Wai Lo; Wai Kei Jacky Lam; David Johnson; Lili Li; Qian Tao; Kwan Chee Allen Chan; Ka-Fai To; Ann D King; Brigette B Y Ma; Anthony T C Chan
Journal:  Nat Rev Clin Oncol       Date:  2021-06-30       Impact factor: 66.675

4.  Radiomics for Discrimination between Early-Stage Nasopharyngeal Carcinoma and Benign Hyperplasia with Stable Feature Selection on MRI.

Authors:  Lun M Wong; Qi Yong H Ai; Rongli Zhang; Frankie Mo; Ann D King
Journal:  Cancers (Basel)       Date:  2022-07-14       Impact factor: 6.575

Review 5.  MRI detection of suspected nasopharyngeal carcinoma: a systematic review and meta-analysis.

Authors:  Vineet Vijay Gorolay; Naomi Natasha Niles; Ya Ruth Huo; Navid Ahmadi; Kate Hanneman; Elizabeth Thompson; Michael Vinchill Chan
Journal:  Neuroradiology       Date:  2022-04-30       Impact factor: 2.995

6.  Clinical Characteristics and Predictive Outcomes of Recurrent Nasopharyngeal Carcinoma-A Lingering Pitfall of the Long Latency.

Authors:  Yung-Hsuan Chen; Sheng-Dean Luo; Shao-Chun Wu; Ching-Nung Wu; Tai-Jan Chiu; Yu-Ming Wang; Yao-Hsu Yang; Wei-Chih Chen
Journal:  Cancers (Basel)       Date:  2022-08-04       Impact factor: 6.575

  6 in total

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