Literature DB >> 27747383

Prognostic value of tumoral heterogeneity and volumetric parameters as measured by F18-FDG PET/CT in sinonasal cancer.

Bum Soo Kim1, Kyoungjune Pak1, Keun-Ik Yi2, In Joo Kim1, Hwan-Jung Roh3, Kyu-Sup Cho4.   

Abstract

The objective of this study was to investigate the value of parameters assessed with F18-FDG PET/CT in predicting recurrence-free survival (RFS) and disease-specific survival (DSS) in patients with cancer of nasal cavity and paranasal sinus. Thirty-eight patients with cancer of nasal cavity (n = 14) and paranasal sinus (n = 24) who underwent PET/CT prior to curative treatment were enrolled. A volume of interest was placed on PET/CT images covering the entire tumor volume, and the maximum SUV (SUVmax), the mean SUV (SUVmean), and volumetric parameters of metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were measured using thresholds of 40 % of SUVmax. The heterogeneity factor (HF) defined as the derivative of volume-threshold function from 40 to 80 % of SUV thresholds. RFS and DSS were defined as the time from the diagnosis to recurrence and death. Median values of SUVmax, SUVmean, MTV, TLG, and HF were 14.81, 9.16, 25.84, 150.74, and -0.496. SUVmax was higher in patients with advanced stage and nodal metastasis. High MTV and low HF group showed shorter RFS. Cox proportional hazards regression analysis revealed low HF was the only significant predictive factor on RFS. Furthermore, high TLG was associated with shorter DSS. High TLG was potent predictor of DSS by Cox proportional hazards regression analysis. In conclusion, the tumoral heterogeneity and volumetric parameters as measured by F18-FDG PET/CT could be significant prognostic surrogate markers in patients with sinonasal cancer.

Entities:  

Keywords:  Nose neoplasms; Paranasal sinus neoplasms; Positron emission tomography; Prognosis; Tumor burden

Mesh:

Substances:

Year:  2016        PMID: 27747383     DOI: 10.1007/s00405-016-4346-1

Source DB:  PubMed          Journal:  Eur Arch Otorhinolaryngol        ISSN: 0937-4477            Impact factor:   2.503


  29 in total

Review 1.  Prognostic value of metabolic tumor volume and total lesion glycolysis in head and neck cancer: a systematic review and meta-analysis.

Authors:  Kyoungjune Pak; Gi Jeong Cheon; Hyun-Yeol Nam; Seong-Jang Kim; Keon Wook Kang; June-Key Chung; E Edmund Kim; Dong Soo Lee
Journal:  J Nucl Med       Date:  2014-04-21       Impact factor: 10.057

2.  Intratumoral Metabolic Heterogeneity for Prediction of Disease Progression After Concurrent Chemoradiotherapy in Patients with Inoperable Stage III Non-Small-Cell Lung Cancer.

Authors:  Sae-Ryung Kang; Ho-Chun Song; Byung Hyun Byun; Jong-Ryool Oh; Hyeon-Sik Kim; Sun-Pyo Hong; Seong Young Kwon; Ari Chong; Jahae Kim; Sang-Geon Cho; Hee Jeong Park; Young-Chul Kim; Sung-Ja Ahn; Jung-Joon Min; Hee-Seung Bom
Journal:  Nucl Med Mol Imaging       Date:  2013-09-06

3.  Dependence of FDG uptake on tumor microenvironment.

Authors:  Andrei Pugachev; Shutian Ruan; Sean Carlin; Steven M Larson; Jose Campa; C Clifton Ling; John L Humm
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-06-01       Impact factor: 7.038

4.  18F-FDG metabolic tumor volume and total glycolytic activity of oral cavity and oropharyngeal squamous cell cancer: adding value to clinical staging.

Authors:  Elizabeth H Dibble; Ana C Lara Alvarez; Minh-Tam Truong; Gustavo Mercier; Earl F Cook; Rathan M Subramaniam
Journal:  J Nucl Med       Date:  2012-04-09       Impact factor: 10.057

5.  Spatial heterogeneity in sarcoma 18F-FDG uptake as a predictor of patient outcome.

Authors:  Janet F Eary; Finbarr O'Sullivan; Janet O'Sullivan; Ernest U Conrad
Journal:  J Nucl Med       Date:  2008-11-07       Impact factor: 10.057

6.  Metabolic tumor volume predicts for recurrence and death in head-and-neck cancer.

Authors:  Trang H La; Edith J Filion; Brit B Turnbull; Jackie N Chu; Percy Lee; Khoa Nguyen; Peter Maxim; Andy Quon; Edward E Graves; Billy W Loo; Quynh-Thu Le
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-03-14       Impact factor: 7.038

7.  Prognostic value of metabolic parameters in patients with synchronous colorectal cancer liver metastasis following curative-intent colorectal and hepatic surgery.

Authors:  Hyo Sang Lee; Hye Ok Kim; Yong Sang Hong; Tae Won Kim; Jin Cheon Kim; Chang Sik Yu; Jae Seung Kim
Journal:  J Nucl Med       Date:  2014-02-18       Impact factor: 10.057

8.  Prognostic value of volumetric parameters measured by 18F-FDG PET/CT in patients with head and neck squamous cell carcinoma.

Authors:  Ronan Abgral; Nathalie Keromnes; Philippe Robin; Pierre-Yves Le Roux; David Bourhis; Xavier Palard; Jean Rousset; Gérald Valette; Rémi Marianowski; Pierre-Yves Salaün
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-11-07       Impact factor: 9.236

Review 9.  Sinonasal carcinomas: epidemiology, pathology, and management.

Authors:  Stephan K Haerle; Patrick J Gullane; Ian J Witterick; Christian Zweifel; Fred Gentili
Journal:  Neurosurg Clin N Am       Date:  2012-09-10       Impact factor: 2.509

10.  Prognostic value of volumetric parameters of (18)F-FDG PET in non-small-cell lung cancer: a meta-analysis.

Authors:  Hyung-Jun Im; Kyoungjune Pak; Gi Jeong Cheon; Keon Wook Kang; Seong-Jang Kim; In-Joo Kim; June-Key Chung; E Edmund Kim; Dong Soo Lee
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-09-06       Impact factor: 9.236

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  1 in total

1.  Metabolic Tumour Volume as a Predictor of Survival for Sinonasal Tract Squamous Cell Carcinoma.

Authors:  Hidenori Suzuki; Tsuneo Tamaki; Takeshi Kodaira; Masami Nishio; Daisuke Nishikawa; Shintaro Beppu; Hoshino Terada; Michi Sawabe; Nobuhiro Hanai
Journal:  Diagnostics (Basel)       Date:  2022-01-07
  1 in total

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