Literature DB >> 30792253

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.

H Kuno1,2, N Garg1, M M Qureshi1,3, M N Chapman1, B Li1, S K Meibom1, M T Truong1,3, K Takumi1,4, O Sakai5,3,6.   

Abstract

BACKGROUND AND
PURPOSE: Differentiating nodal metastases from reactive adenopathy in HIV-infected patients with [18F] FDG-PET/CT can be challenging because lymph nodes in HIV-positive patients often show increased [18F] FDG uptake. The purpose of this study was to assess CT textural analysis characteristics of HIV-positive and HIV-negative lymph nodes on [18F] FDG-PET/CT to differentiate nodal metastases from disease-specific nodal reactivity.
MATERIALS AND METHODS: Nine HIV-positive patients with head and neck squamous cell carcinoma (7 men, 2 women; 29-62 years of age; median age, 48 years) with 22 lymph nodes (≥1 cm) who underwent contrast-enhanced CT with [18F] FDG-PET followed by pathologic evaluation of cervical lymph nodes were retrospectively reviewed. Twenty-six HIV-negative patients with head and neck squamous cell carcinoma with 61 lymph nodes were evaluated as a control group. Each lymph node was manually segmented, and an in-house-developed Matlab-based texture analysis program extracted 41 texture features from each segmented volume. A mixed linear regression model was used to compare the pathologically proved malignant lymph nodes with benign nodes in the 2 enrolled groups.
RESULTS: Thirteen (59%) lymph nodes in the HIV-positive group and 22 (36%) lymph nodes in the HIV-negative control group were confirmed as positive for metastases. There were 7 histogram features (P = .017-0.032), 3 gray-level co-occurrence features (P = .009-.025), and 9 gray-level run-length features (P < .001-.033) that demonstrated a significant difference in HIV-positive patients with either benign or malignant lymph nodes.
CONCLUSIONS: CT texture analysis may be useful as a noninvasive method of obtaining additional quantitative information to differentiate nodal metastases from disease-specific nodal reactivity in HIV-positive patients with head and neck squamous cell carcinoma.
© 2019 by American Journal of Neuroradiology.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 30792253     DOI: 10.3174/ajnr.A5974

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


  8 in total

1.  Is the prediction of one or two ipsilateral positive lymph nodes by computerized tomography and ultrasound reliable enough to restrict therapeutic neck dissection in oral squamous cell carcinoma (OSCC) patients?

Authors:  Karl Christoph Sproll; Sabina Leydag; Henrik Holtmann; Lara K Schorn; Joel Aissa; Patric Kröpil; Wolfgang Kaisers; Csaba Tóth; Jörg Handschel; Julian Lommen
Journal:  J Cancer Res Clin Oncol       Date:  2021-02-01       Impact factor: 4.553

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

Authors:  Akira Baba; Hisashi Kessoku; Taisuke Akutsu; Eiji Shimura; Satoshi Matsushima; Ryo Kurokawa; Yoshiaki Ota; Takayuki Suzuki; Yuki Kawasumi; Hideomi Yamauchi; Koshi Ikeda; Hiroya Ojiri
Journal:  Oral Radiol       Date:  2021-01-02       Impact factor: 1.852

3.  Nodal-based radiomics analysis for identifying cervical lymph node metastasis at levels I and II in patients with oral squamous cell carcinoma using contrast-enhanced computed tomography.

Authors:  Hayato Tomita; Tsuneo Yamashiro; Joichi Heianna; Toshiyuki Nakasone; Yusuke Kimura; Hidefumi Mimura; Sadayuki Murayama
Journal:  Eur Radiol       Date:  2021-03-31       Impact factor: 5.315

4.  Deep learning combined with radiomics for the classification of enlarged cervical lymph nodes.

Authors:  Wentao Zhang; Jian Peng; Shan Zhao; Wenli Wu; Junjun Yang; Junyong Ye; Shengsheng Xu
Journal:  J Cancer Res Clin Oncol       Date:  2022-05-13       Impact factor: 4.322

5.  Quantitative ultrasound delta-radiomics during radiotherapy for monitoring treatment responses in head and neck malignancies.

Authors:  William T Tran; Harini Suraweera; Karina Quiaoit; Daniel DiCenzo; Kashuf Fatima; Deok Jang; Divya Bhardwaj; Christopher Kolios; Irene Karam; Ian Poon; Lakshmanan Sannachi; Mehrdad Gangeh; Ali Sadeghi-Naini; Archya Dasgupta; Gregory J Czarnota
Journal:  Future Sci OA       Date:  2020-09-04

6.  Dual-Energy CT Texture Analysis With Machine Learning for the Evaluation and Characterization of Cervical Lymphadenopathy.

Authors:  Matthew Seidler; Behzad Forghani; Caroline Reinhold; Almudena Pérez-Lara; Griselda Romero-Sanchez; Nikesh Muthukrishnan; Julian L Wichmann; Gabriel Melki; Eugene Yu; Reza Forghani
Journal:  Comput Struct Biotechnol J       Date:  2019-07-16       Impact factor: 7.271

7.  Radiological differences in computed tomography findings and texture analysis between cystic lymph node metastases of human papillomavirus-positive oropharyngeal cancer and second branchial cysts.

Authors:  Akira Baba; Hisashi Kessoku; Ryo Kurokawa; Hideomi Yamauchi; Taisuke Akutsu; Eiji Shimura; Koshi Ikeda; Hiroya Ojiri
Journal:  Pol J Radiol       Date:  2021-03-25

8.  Combined CT texture analysis and nodal axial ratio for detection of nodal metastasis in esophageal cancer.

Authors:  Han Na Lee; Jung Im Kim; So Youn Shin; Dae Hyun Kim; Chanwoo Kim; Il Ki Hong
Journal:  Br J Radiol       Date:  2020-04-15       Impact factor: 3.629

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.