Literature DB >> 24042030

Textural features of pretreatment 18F-FDG PET/CT images: prognostic significance in patients with advanced T-stage oropharyngeal squamous cell carcinoma.

Nai-Ming Cheng1, Yu-Hua Dean Fang, Joseph Tung-Chieh Chang, Chung-Guei Huang, Din-Li Tsan, Shu-Hang Ng, Hung-Ming Wang, Chien-Yu Lin, Chun-Ta Liao, Tzu-Chen Yen.   

Abstract

UNLABELLED: Previous studies have shown that total lesion glycolysis (TLG) may serve as a prognostic indicator in oropharyngeal squamous cell carcinoma (OPSCC). We sought to investigate whether the textural features of pretreatment (18)F-FDG PET/CT images can provide any additional prognostic information over TLG and clinical staging in patients with advanced T-stage OPSCC.
METHODS: We retrospectively analyzed the pretreatment (18)F-FDG PET/CT images of 70 patients with advanced T-stage OPSCC who had completed concurrent chemoradiotherapy, bioradiotherapy, or radiotherapy with curative intent. All of the patients had data on human papillomavirus (HPV) infection and were followed up for at least 24 mo or until death. A standardized uptake value (SUV) of 2.5 was taken as a cutoff for tumor boundary. The textural features of pretreatment (18)F-FDG PET/CT images were extracted from histogram analysis (SUV variance and SUV entropy), normalized gray-level cooccurrence matrix (uniformity, entropy, dissimilarity, contrast, homogeneity, inverse different moment, and correlation), and neighborhood gray-tone difference matrix (coarseness, contrast, busyness, complexity, and strength). Receiver-operating-characteristic curves were used to identify the optimal cutoff values for the textural features and TLG.
RESULTS: Thirteen patients were HPV-positive. Multivariate Cox regression analysis showed that age, tumor TLG, and uniformity were independently associated with progression-free survival (PFS) and disease-specific survival (DSS). TLG, uniformity, and HPV positivity were significantly associated with overall survival (OS). A prognostic scoring system based on TLG and uniformity was derived. Patients who presented with TLG > 121.9 g and uniformity ≤ 0.138 experienced significantly worse PFS, DSS, and OS rates than those without (P < 0.001, < 0.001, and 0.002, respectively). Patients with TLG > 121.9 g or uniformity ≤ 0.138 were further divided according to age, and different PFS and DSS were observed.
CONCLUSION: Uniformity extracted from the normalized gray-level cooccurrence matrix represents an independent prognostic predictor in patients with advanced T-stage OPSCC. A scoring system was developed and may serve as a risk-stratification strategy for guiding therapy.

Entities:  

Keywords:  FDG PET/CT; HPV; oropharyngeal carcinoma; textural analysis; total lesion glycolysis

Mesh:

Substances:

Year:  2013        PMID: 24042030     DOI: 10.2967/jnumed.112.119289

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  56 in total

1.  Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer.

Authors:  Nai-Ming Cheng; Yu-Hua Dean Fang; Li-yu Lee; Joseph Tung-Chieh Chang; Din-Li Tsan; Shu-Hang Ng; Hung-Ming Wang; Chun-Ta Liao; Lan-Yan Yang; Ching-Han Hsu; Tzu-Chen Yen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-10-23       Impact factor: 9.236

Review 2.  The role of PET/CT in the management of patients affected by head and neck tumors: a review of the literature.

Authors:  Giovanni Cammaroto; Natale Quartuccio; Alessandro Sindoni; Francesca Di Mauro; Federico Caobelli
Journal:  Eur Arch Otorhinolaryngol       Date:  2015-05-14       Impact factor: 2.503

3.  Radiomics Analysis of PET and CT Components of PET/CT Imaging Integrated with Clinical Parameters: Application to Prognosis for Nasopharyngeal Carcinoma.

Authors:  Wenbing Lv; Qingyu Yuan; Quanshi Wang; Jianhua Ma; Qianjin Feng; Wufan Chen; Arman Rahmim; Lijun Lu
Journal:  Mol Imaging Biol       Date:  2019-10       Impact factor: 3.488

4.  Texture Feature Ratios from Relative CBV Maps of Perfusion MRI Are Associated with Patient Survival in Glioblastoma.

Authors:  J Lee; R Jain; K Khalil; B Griffith; R Bosca; G Rao; A Rao
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-15       Impact factor: 3.825

5.  PET-based prognostic survival model after radiotherapy for head and neck cancer.

Authors:  Joël Castelli; A Depeursinge; A Devillers; B Campillo-Gimenez; Y Dicente; J O Prior; E Chajon; F Jegoux; C Sire; O Acosta; E Gherga; X Sun; B De Bari; J Bourhis; R de Crevoisier
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-08-21       Impact factor: 9.236

Review 6.  Characterization of PET/CT images using texture analysis: the past, the present… any future?

Authors:  Mathieu Hatt; Florent Tixier; Larry Pierce; Paul E Kinahan; Catherine Cheze Le Rest; Dimitris Visvikis
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-06-06       Impact factor: 9.236

Review 7.  Towards enhanced PET quantification in clinical oncology.

Authors:  Habib Zaidi; Nicolas Karakatsanis
Journal:  Br J Radiol       Date:  2017-11-22       Impact factor: 3.039

8.  Textural analysis of pre-therapeutic [18F]-FET-PET and its correlation with tumor grade and patient survival in high-grade gliomas.

Authors:  Thomas Pyka; Jens Gempt; Daniela Hiob; Florian Ringel; Jürgen Schlegel; Stefanie Bette; Hans-Jürgen Wester; Bernhard Meyer; Stefan Förster
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-07-29       Impact factor: 9.236

9.  A preliminary investigation into textural features of intratumoral metabolic heterogeneity in (18)F-FDG PET for overall survival prognosis in patients with bulky cervical cancer treated with definitive concurrent chemoradiotherapy.

Authors:  Kung-Chu Ho; Yu-Hua Dean Fang; Hsiao-Wen Chung; Tzu-Chen Yen; Tsung-Ying Ho; Hung-Hsueh Chou; Ji-Hong Hong; Yi-Ting Huang; Chun-Chieh Wang; Chyong-Huey Lai
Journal:  Am J Nucl Med Mol Imaging       Date:  2016-07-06

10.  Texture analysis of 18F-FDG PET/CT to predict tumour response and prognosis of patients with esophageal cancer treated by chemoradiotherapy.

Authors:  Masatoyo Nakajo; Megumi Jinguji; Yoshiaki Nakabeppu; Masayuki Nakajo; Ryutarou Higashi; Yoshihiko Fukukura; Ken Sasaki; Yasuto Uchikado; Shoji Natsugoe; Takashi Yoshiura
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-09-10       Impact factor: 9.236

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