Literature DB >> 23912620

Locally advanced squamous cell carcinoma of the head and neck: CT texture and histogram analysis allow independent prediction of overall survival in patients treated with induction chemotherapy.

Haowei Zhang1, Caleb M Graham, Okan Elci, Michael E Griswold, Xu Zhang, Majid A Khan, Karen Pitman, Jimmy J Caudell, Robert D Hamilton, Balaji Ganeshan, Andrew Dennis Smith.   

Abstract

PURPOSE: To determine if computed tomographic (CT) texture and histogram analysis measurements of the primary mass are independently associated with overall survival in patients with locally advanced squamous cell carcinoma of the head and neck who were previously treated with cisplatin, 5-fluorouracil, and docetaxel (TPF) induction chemotherapy.
MATERIALS AND METHODS: This institutional review board-approved retrospective study included 72 patients with locally advanced squamous cell carcinoma of the head and neck who were treated with induction TPF chemotherapy in 2004-2010. CT texture and histogram analysis of the primary mass on the pretherapy CT images were performed by using TexRAD software before and after application of spatial filters at different anatomic scales ranging from fine detail to coarse features. Cox proportional hazards models were used to examine the association between overall survival and the baseline CT imaging measurements and clinical variables.
RESULTS: Primary mass entropy and skewness measurements with multiple spatial filters were associated with overall survival. Multivariate Cox regression analysis incorporating clinical and imaging variables indicated that primary mass size (hazard ratio [HR], 1.58 for each 1-cm increase; P = .018), N stage (HR, 8.77 for N3 vs N0 or N1; P = .002; HR, 4.99 for N3 vs N2; P = .001), and primary mass entropy (HR, 2.10 for each 0.5-unit increase; P = .036) and skewness (HR, 3.67 for each 1.0-unit increase; P = .009) measurements with the 1.0 spatial filter were independently associated with overall survival.
CONCLUSION: Independent of tumor size, N stage, and other clinical variables, primary mass CT texture and histogram analysis parameters are associated with overall survival in patients with locally advanced squamous cell carcinoma of the head and neck who were treated with induction TPF. Online supplemental material is available for this article. © RSNA, 2013.

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Year:  2013        PMID: 23912620     DOI: 10.1148/radiol.13130110

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


  73 in total

1.  CT-based Radiomic Signatures for Predicting Histopathologic Features in Head and Neck Squamous Cell Carcinoma.

Authors:  Pritam Mukherjee; Murilo Cintra; Chao Huang; Mu Zhou; Shankuan Zhu; A Dimitrios Colevas; Nancy Fischbein; Olivier Gevaert
Journal:  Radiol Imaging Cancer       Date:  2020-05-15

2.  Computed tomography textural analysis for the differentiation of chronic lymphocytic leukemia and diffuse large B cell lymphoma of Richter syndrome.

Authors:  C P Reinert; B Federmann; J Hofmann; H Bösmüller; S Wirths; J Fritz; M Horger
Journal:  Eur Radiol       Date:  2019-06-24       Impact factor: 5.315

3.  Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature.

Authors:  Minghui Wu; Hongna Tan; Fei Gao; Jinjin Hai; Peigang Ning; Jian Chen; Shaocheng Zhu; Meiyun Wang; Shewei Dou; Dapeng Shi
Journal:  Eur Radiol       Date:  2018-11-07       Impact factor: 5.315

4.  Texture features of colorectal liver metastases on pretreatment contrast-enhanced CT may predict response and prognosis in patients treated with bevacizumab-containing chemotherapy: a pilot study including comparison with standard chemotherapy.

Authors:  Marco Ravanelli; Giorgio Maria Agazzi; Elena Tononcelli; Elisa Roca; Paolo Cabassa; Gianluca Baiocchi; Alfredo Berruti; Roberto Maroldi; Davide Farina
Journal:  Radiol Med       Date:  2019-06-06       Impact factor: 3.469

5.  Fractal analysis of contrast-enhanced CT images to predict survival of patients with hepatocellular carcinoma treated with sunitinib.

Authors:  Koichi Hayano; Hiroyuki Yoshida; Andrew X Zhu; Dushyant V Sahani
Journal:  Dig Dis Sci       Date:  2014-02-22       Impact factor: 3.199

6.  CT texture analysis of pancreatic cancer.

Authors:  Kumar Sandrasegaran; Yuning Lin; Michael Asare-Sawiri; Tai Taiyini; Mark Tann
Journal:  Eur Radiol       Date:  2018-08-16       Impact factor: 5.315

7.  Integrating Tumor and Nodal Imaging Characteristics at Baseline and Mid-Treatment Computed Tomography Scans to Predict Distant Metastasis in Oropharyngeal Cancer Treated With Concurrent Chemoradiotherapy.

Authors:  Jia Wu; Micheal F Gensheimer; Nasha Zhang; Fei Han; Rachel Liang; Yushen Qian; Carrie Zhang; Nancy Fischbein; Erqi L Pollom; Beth Beadle; Quynh-Thu Le; Ruijiang Li
Journal:  Int J Radiat Oncol Biol Phys       Date:  2019-03-30       Impact factor: 7.038

8.  Preoperative risk prediction for intraductal papillary mucinous neoplasms by quantitative CT image analysis.

Authors:  Marc A Attiyeh; Jayasree Chakraborty; Lior Gazit; Liana Langdon-Embry; Mithat Gonen; Vinod P Balachandran; Michael I D'Angelica; Ronald P DeMatteo; William R Jarnagin; T Peter Kingham; Peter J Allen; Richard K Do; Amber L Simpson
Journal:  HPB (Oxford)       Date:  2018-08-07       Impact factor: 3.647

9.  CT Texture Analysis: Defining and Integrating New Biomarkers for Advanced Oncologic Imaging in Precision Medicine: A Comment on "CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy".

Authors:  M Becker
Journal:  AJNR Am J Neuroradiol       Date:  2017-10-12       Impact factor: 3.825

10.  Metastatic melanoma: pretreatment contrast-enhanced CT texture parameters as predictive biomarkers of survival in patients treated with pembrolizumab.

Authors:  Carole Durot; Sébastien Mulé; Philippe Soyer; Aude Marchal; Florent Grange; Christine Hoeffel
Journal:  Eur Radiol       Date:  2019-01-15       Impact factor: 5.315

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