Literature DB >> 15163826

Nasopharyngeal carcinoma tumor volume measurement..

Vincent F H Chong1, Jia-Yin Zhou, James B K Khoo, Jing Huang, Tuan-Kay Lim.   

Abstract

Tumor volume was measured in 69 patients with nasopharyngeal carcinoma. On transverse nonenhanced T1-weighted and gadolinium-enhanced T1-weighted magnetic resonance (MR) images, segmentation was performed by means of seed growing and knowledge-based fuzzy clustering methods. Data were compared with those collected with the manual tracing method and analyzed for interoperator variance and interobserver reliability. There was no significant difference between the volumes determined with manual tracing or semiautomated segmentation (P >.05). On the volume level, Pearson correction coefficients were close for both the manual tracing and semiautomated methods. Significant differences in interoperator variance existed between the two methods on the pixel level (P <.05). Compared with manual tracing, the semiautomated method helped reduce interoperator variance and obtain higher interobserver reliability. Findings in the current study validate the use of semiautomated volume measurement methods for nasopharyngeal carcinoma. Copyright RSNA, 2004

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Year:  2004        PMID: 15163826     DOI: 10.1148/radiol.2313030358

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


  15 in total

1.  Nasopharyngeal carcinoma: comparison of diffusion and perfusion characteristics between different tumour stages using intravoxel incoherent motion MR imaging.

Authors:  Vincent Lai; Xiao Li; Victor Ho Fun Lee; Ka On Lam; Daniel Yee Tak Fong; Bingsheng Huang; Queenie Chan; Pek Lan Khong
Journal:  Eur Radiol       Date:  2013-08-29       Impact factor: 5.315

2.  Head and neck cancer: how imaging predicts treatment outcome.

Authors:  Robert Hermans
Journal:  Cancer Imaging       Date:  2006-10-31       Impact factor: 3.909

3.  Extraction of metastatic lymph nodes from MR images using two deformable model-based approaches.

Authors:  Jia-Yin Zhou; Wen Fang; Kap-Luk Chan; Vincent F H Chong; James B K Khoo
Journal:  J Digit Imaging       Date:  2007-12       Impact factor: 4.056

4.  Automated volume analysis of head and neck lesions on CT scans using 3D level set segmentation.

Authors:  Ethan Street; Lubomir Hadjiiski; Berkman Sahiner; Sachin Gujar; Mohannad Ibrahim; Suresh K Mukherji; Heang-Ping Chan
Journal:  Med Phys       Date:  2007-11       Impact factor: 4.071

5.  The relationship between nasopharyngeal carcinoma tumor volume and TNM T-classification: a quantitative analysis.

Authors:  Jia-Yin Zhou; Vincent F H Chong; James B K Khoo; Kap-Luk Chan; Jing Huang
Journal:  Eur Arch Otorhinolaryngol       Date:  2006-09-21       Impact factor: 2.503

6.  Volumetric MR imaging of oral, maxillary sinus, oropharyngeal, and hypopharyngeal cancers: correlation between tumor volume and lymph node metastasis.

Authors:  Yasuo Kimura; Misa Sumi; Yoko Ichikawa; Yosuke Kawai; Takashi Nakamura
Journal:  AJNR Am J Neuroradiol       Date:  2005-10       Impact factor: 3.825

7.  Evaluating lingual carcinoma for surgical management: what does volumetric measurement with MRI offer?

Authors:  P W Boland; S R Watt-Smith; K Pataridis; C Alvey; S J Golding
Journal:  Br J Radiol       Date:  2010-11       Impact factor: 3.039

8.  Head and neck cancers on CT: preliminary study of treatment response assessment based on computerized volume analysis.

Authors:  Lubomir Hadjiiski; Suresh K Mukherji; Mohannad Ibrahim; Berkman Sahiner; Sachin K Gujar; Jeffrey Moyer; Heang-Ping Chan
Journal:  AJR Am J Roentgenol       Date:  2010-04       Impact factor: 3.959

9.  CT volume measurement for prognostic evaluation of unresectable hepatocellular carcinoma after TACE.

Authors:  Jia-Wen Zhang; Xiao-Yuan Feng; Han-Qiu Liu; Zhen-Wei Yao; Yan-Mei Yang; Bin Liu; Yong-Qiang Yu
Journal:  World J Gastroenterol       Date:  2010-04-28       Impact factor: 5.742

10.  Nasopharyngeal carcinoma: correlation of apparent diffusion coefficient value with prognostic parameters.

Authors:  Ahmed Abdel Khalek Abdel Razek; Elsharawey Kamal
Journal:  Radiol Med       Date:  2012-10-22       Impact factor: 3.469

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