Literature DB >> 26115452

Histogram Analysis of Apparent Diffusion Coefficients for Occult Tonsil Cancer in Patients with Cervical Nodal Metastasis from an Unknown Primary Site at Presentation.

Young Jun Choi1, Jeong Hyun Lee1, Hye Ok Kim1, Dae Yoon Kim1, Ra Gyoung Yoon1, So Hyun Cho1, Myeong Ju Koh1, Namkug Kim1, Sang Yoon Kim1, Jung Hwan Baek1.   

Abstract

PURPOSE: To explore the added value of histogram analysis of apparent diffusion coefficient (ADC) values over magnetic resonance (MR) imaging and fluorine 18 ((18)F) fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) for the detection of occult palatine tonsil squamous cell carcinoma (SCC) in patients with cervical nodal metastasis from a cancer of an unknown primary site.
MATERIALS AND METHODS: The institutional review board approved this retrospective study, and the requirement for informed consent was waived. Differences in the bimodal histogram parameters of the ADC values were assessed among occult palatine tonsil SCC (n = 19), overt palatine tonsil SCC (n = 20), and normal palatine tonsils (n = 20). One-way analysis of variance was used to analyze differences among the three groups. Receiver operating characteristic curve analysis was used to determine the best differentiating parameters. The increased sensitivity of histogram analysis over MR imaging and (18)F-FDG PET/CT for the detection of occult palatine tonsil SCC was evaluated as added value.
RESULTS: Histogram analysis showed statistically significant differences in the mean, standard deviation, and 50th and 90th percentile ADC values among the three groups (P < .0045). Occult palatine tonsil SCC had a significantly higher standard deviation for the overall curves, mean and standard deviation of the higher curves, and 90th percentile ADC value, compared with normal palatine tonsils (P < .0167). Receiver operating characteristic curve analysis showed that the standard deviation of the overall curve best delineated occult palatine tonsil SCC from normal palatine tonsils, with a sensitivity of 78.9% (15 of 19 patients) and a specificity of 60% (12 of 20 patients). The added value of ADC histogram analysis was 52.6% over MR imaging alone and 15.8% over combined conventional MR imaging and (18)F-FDG PET/CT.
CONCLUSION: Adding ADC histogram analysis to conventional MR imaging can improve the detection sensitivity for occult palatine tonsil SCC in patients with a cervical nodal metastasis originating from a cancer of an unknown primary site. © RSNA, 2015.

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Year:  2015        PMID: 26115452     DOI: 10.1148/radiol.2015141727

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  7 in total

1.  CT and MRI Findings of Glomangiopericytoma in the Head and Neck: Case Series Study and Systematic Review.

Authors:  C H Suh; J H Lee; M K Lee; S J Cho; S R Chung; Y J Choi; J H Baek
Journal:  AJNR Am J Neuroradiol       Date:  2019-12-05       Impact factor: 3.825

2.  Whole-tumor histogram analysis of DWI and QSI for differentiating between meningioma and schwannoma: a pilot study.

Authors:  Hitomi Nagano; Koji Sakai; Jun Tazoe; Masashi Yasuike; Kentaro Akazawa; Kei Yamada
Journal:  Jpn J Radiol       Date:  2019-08-08       Impact factor: 2.374

3.  Histogram analysis of arterial spin labeling perfusion data to determine the human papillomavirus status of oropharyngeal squamous cell carcinomas.

Authors:  Yura Ahn; Young Jun Choi; Yu Sub Sung; Josef Pfeuffer; Chong Hyun Suh; Sae Rom Chung; Jung Hwan Baek; Jeong Hyun Lee
Journal:  Neuroradiology       Date:  2021-06-29       Impact factor: 2.804

4.  CT texture analysis of tonsil cancer: Discrimination from normal palatine tonsils.

Authors:  Tae-Yoon Kim; Ji Young Lee; Young-Jun Lee; Dong Woo Park; Kyung Tae; Yun Young Choi
Journal:  PLoS One       Date:  2021-08-11       Impact factor: 3.240

5.  Prognostic role of diffusion weighted and dynamic contrast-enhanced MRI in loco-regionally advanced head and neck cancer treated with concomitant chemoradiotherapy.

Authors:  Manca Garbajs; Primoz Strojan; Katarina Surlan-Popovic
Journal:  Radiol Oncol       Date:  2019-03-03       Impact factor: 2.991

6.  Technical feasibility of radiomics signature analyses for improving detection of occult tonsillar cancer.

Authors:  Jeong Hoon Lee; Eun Ju Ha; Jin Roh; Su Jin Lee; Jeon Yeob Jang
Journal:  Sci Rep       Date:  2021-01-08       Impact factor: 4.379

7.  Quantitative Assessment of Heterogeneity in Bladder Tumor MRI Diffusivity: Can Response be Predicted Prior to Neoadjuvant Chemotherapy?

Authors:  Huyen T Nguyen; Amir Mortazavi; Kamal S Pohar; Debra L Zynger; Lai Wei; Zarine K Shah; Guang Jia; Michael V Knopp
Journal:  Bladder Cancer       Date:  2017-10-27
  7 in total

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