Literature DB >> 15093899

Tongue carcinoma: tumor volume measurement.

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

Abstract

PURPOSE: To validate the semiautomated methods of tongue carcinoma tumor volume measurement by comparing the conventional manual trace method with 2 semiautomated computer methods: seed growing and region deformation.
MATERIALS AND METHODS: The study population consisted of 16 patients with histology-proven tongue carcinoma. Two head-and-neck radiologists independently measured the tumor volume demonstrated on pretreatment T2-weighted magnetic resonance data sets. The tumor volumes were measured using manual tracing and semiautomated seed growing and region deformation algorithm. Data were recorded for analysis of interoperator variance and interobserver reliability at volume and pixel levels.
RESULTS: There was no significant difference between the manually traced volume and semiautomated segmentation volumes for both operators. No significant difference was found in interobserver variance among the 3 methods at volume level. However, there was significant difference between manual tracing and semiautomated segmentation methods in interobserver reliability at pixel level.
CONCLUSION: The semiautomated methods could achieve satisfactory segmentation results. They could also reduce interoperator variance and obtain a higher interobserver reliability. This study validates the use of semiautomated volume measurement methods for tongue carcinoma.

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Year:  2004        PMID: 15093899     DOI: 10.1016/j.ijrobp.2003.09.089

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  7 in total

1.  Perioperative clinical factors affecting volume changes of reconstructed flaps in head and neck cancer patients: free versus regional flaps.

Authors:  Kwang Jae Cho; Young Hoon Joo; Dong Il Sun; Min Sik Kim
Journal:  Eur Arch Otorhinolaryngol       Date:  2010-12-04       Impact factor: 2.503

2.  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

3.  Reliability of CT-based tumor volumetry after intraarterial chemotherapy in patients with small carcinoma of the oral cavity and the oropharynx.

Authors:  Stefan Rohde; Adorján F Kovács; Joachim Berkefeld; Bernd Turowski
Journal:  Neuroradiology       Date:  2006-04-12       Impact factor: 2.804

4.  Segmentation of tongue muscles from super-resolution magnetic resonance images.

Authors:  Bulat Ibragimov; Jerry L Prince; Emi Z Murano; Jonghye Woo; Maureen Stone; Boštjan Likar; Franjo Pernuš; Tomaž Vrtovec
Journal:  Med Image Anal       Date:  2014-11-23       Impact factor: 8.545

Review 5.  Imaging of tongue carcinoma.

Authors:  Cheng K Ong; Vincent F H Chong
Journal:  Cancer Imaging       Date:  2006-12-20       Impact factor: 3.909

6.  A Pilot Study: N-Staging Assessment of Shear Wave Elastrography in Small Cervical Lymph Nodes for Nasopharyngeal Carcinoma.

Authors:  Ying Guan; Shuai Liu; An-Chuan Li; Xin-Bin Pan; Zhong-Guo Liang; Wan-Qin Cheng; Xiao-Dong Zhu
Journal:  Front Oncol       Date:  2020-04-15       Impact factor: 6.244

7.  Automatic Segmentation of MRI of Brain Tumor Using Deep Convolutional Network.

Authors:  Runwei Zhou; Shijun Hu; Baoxiang Ma; Bangcheng Ma
Journal:  Biomed Res Int       Date:  2022-06-15       Impact factor: 3.246

  7 in total

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