Application of Computer-Aided Tongue Inspection for Preliminary Screening of Esophageal Cancer

Jin-long Duan; Bo Deng; Guo-hui Song; Zhi-feng Chen; Yan-wei Gong; Yu-hua He; Li-qun Jia

doi:10.1007/s11655-018-2840-6

Your Location：

Home >

Browse articles >

Application of Computer-Aided Tongue Inspection for Preliminary Screening of Esophageal Cancer

Updated：2021-08-27

- Application of Computer-Aided Tongue Inspection for Preliminary Screening of Esophageal Cancer
- Chinese Journal of Integrative Medicine Vol. 24, Issue 10, Pages: 746-751(2018)
- Affiliations：
  
  1. School of Clinical Medicine, Beijing University of Chinese Medicine,Beijing,China
  2. Department of Oncology of Integrative Chinese and Western Medicine, China-Japan Friendship Hospital,Beijing,China
  3. Department of Oncology, Ci County Tumor Hospital,Hebei Province,Handan,China
  4. Department of Oncology, Fourth Affiliated Hospital of Hebei Medical University,Shijiazhuang,China
- Author bio：
- Funds：
  
  Supported by the National Twelfth Five-Year Initiatives Project (No. 2012BAJ18B05)
- DOI：10.1007/s11655-018-2840-6
  CLC：
- Published：2018，
  
  Published Online：17 April 2018，
Scan for full text
Duan, Jl., Deng, B., Song, Gh. et al. Application of Computer-Aided Tongue Inspection for Preliminary Screening of Esophageal Cancer., Chin. J. Integr. Med. 24, 746–751 (2018). https://doi.org/10.1007/s11655-018-2840-6

Jin-long Duan, Bo Deng, Guo-hui Song, et al. Application of Computer-Aided Tongue Inspection for Preliminary Screening of Esophageal Cancer. [J]. Chinese Journal of Integrative Medicine 24(10):746-751(2018)
Duan, Jl., Deng, B., Song, Gh. et al. Application of Computer-Aided Tongue Inspection for Preliminary Screening of Esophageal Cancer., Chin. J. Integr. Med. 24, 746–751 (2018). https://doi.org/10.1007/s11655-018-2840-6 DOI：

Jin-long Duan, Bo Deng, Guo-hui Song, et al. Application of Computer-Aided Tongue Inspection for Preliminary Screening of Esophageal Cancer. [J]. Chinese Journal of Integrative Medicine 24(10):746-751(2018) DOI： 10.1007/s11655-018-2840-6.

摘要

To differentiate patients with esophageal cancer or premalignant lesions from the high-risk population for preliminary screening of esophageal cancer using a feature index determined by a computer-aided tongue information acquisition and processing system (DS01-B). Totally

213 patients diagnosed with esophageal cancer or premalignant lesions and 2

840 normal subjects were collected including primarily screened and reexamined

all of them were confirmed with histological examinations. Their tongue color space values and manifestation features were extracted by DS01-B and analyzed. Firstly

the analysis of variance was performed to differentiate normal subjects from patients with esophageal cancer and premalignant lesions. Secondly

the logistic regression was conducted using 10 features and gender

age to get a predictive equation of the possibility of esophageal cancer or premalignant lesions. Lastly

the equation was tested by subjects undergoing primary screening. Saturation (S) values in the HSV color space showed significant differences between patients with esophageal cancer and normal subjects or those with mild atypical hyperplasia (P<0.05); blue-to-yellow (b) values in the Lab color space showed significant differences between patients with esophageal cancer or premalignant lesions and normal subjects (P<0.05). Logistic regression analysis showed that the computer-aided tongue inspection approach had an accuracy of 72.3% (2008/2776) in identifying patients with esophageal cancer or premalignant lesions for preliminary screening in high-risk population. Computer-aided tongue inspection

with descriptive and quantitative profile as described in this study

could be applied as a cost- and timeefficient

non-invasive approach for preliminary screening of esophageal cancer in high-risk population.

Abstract

213 patients diagnosed with esophageal cancer or premalignant lesions and 2

840 normal subjects were collected including primarily screened and reexamined

all of them were confirmed with histological examinations. Their tongue color space values and manifestation features were extracted by DS01-B and analyzed. Firstly

the analysis of variance was performed to differentiate normal subjects from patients with esophageal cancer and premalignant lesions. Secondly

the logistic regression was conducted using 10 features and gender

age to get a predictive equation of the possibility of esophageal cancer or premalignant lesions. Lastly

with descriptive and quantitative profile as described in this study

could be applied as a cost- and timeefficient

non-invasive approach for preliminary screening of esophageal cancer in high-risk population.

关键词

esophageal cancerpreliminary differential diagnosiscomputer-aided tongue inspectionlogistic regression

Keywords

esophageal cancerpreliminary differential diagnosiscomputer-aided tongue inspectionlogistic regression

references

Enzinger PC, Mayer RJ. Esophageal cancer. N Engl J Med 2003;349:2241–2252.

Ajani JA, D’Amico TA, Almhanna K, Bentrem DJ, Besh S, Chao J, et al. Esophageal and esophagogastric junction cancers, version 1. 2015. J Natl Compr Canc Netw 2015;13:194–227.

Malhotra GK, Yanala U, Ravipati A, Follet M, Vijayakumar M, Are C. Global trends in esophageal cancer. J Surg Oncol 2017;115:564–579.

Shan BE, ed. 2014 Hebei cancer registry annual report. Beijing: Military Medical Science Press; 2014:81–83.

Xie N, Zhang GX, eds. Basis of Chinese medicine. Beijing: China Press of Traditional Chinese Medicine; 2016:30–35.

Xu JT, ed. Clinical illustration of tongue diagnosis of traditional Chinese medicine. Beijing: Chemical Induatry Press; 2017:16–18.

Mist S, Ritenbaugh C, Aickin M. Effects of questionnaire-based diagnosis and training on inter-rater reliability among practitioners of traditional Chinese medicine. J Altern Complement Med 2009;15:703–709.

Zhang GG, Lee WL, Lao L, Bausell B, Berman B, Handwerger B. The variability of TCM pattern diagnosis and herbal prescription on rheumatoid arthritis patients. Altern Ther Health Med 2004;10:58–63.

Lo LC, Chen YF, Chen WJ, Cheng TL, Chiang JY. The study on the agreement between automatic tongue diagnosis system and traditional Chinese medicine practitioners. Evid Based Complement Alternat Med 2012;2012:505063.

Ishigaki M, Maeda Y, Taketani A, Andriana BB, Ishihara R, Wongravee K, et al. Diagnosis of early-stage esophageal cancer by Raman spectroscopy and chemometric techniques. Analyst 2016;141:1027–1033.

van der Heijden H. Decision support for selecting optimal logistic regression models. Expert Syst Appl 2012;39:8573–8583.

Lee YW, Chen TL, Shih YR, Tsai CL, Chiang CC, Liang HH, et al. Adjunctive traditional Chinese medicine therapy improves survival in patients with advanced breast cancer: a population-based study. Cancer 2014;120:1338–1344.

Qi F, Zhao L, Zhou A, Zhang B, Li A, Wang Z, Han J. The advantages of using traditional Chinese medicine as an adjunctive therapy in the whole course of cancer treatment instead of only terminal stage of cancer. Biosci Trends 2015;9:16–34.

Freitas NR, Vieira PM, Lima E, Lima CS. Automatic T1 bladder tumor detection by using wavelet analysis in cystoscopy images. Phys Med Biol 2017; doi: 10.1088/1361-6560/aaa3af.

FULL TEXT LINK

More>

Views

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Logistic regression analysis of damp-heat and cold-damp impeding syndrome of rheumatoid arthritis: A perspective in Chinese medicine

Clinical evaluation of oral Fructus Bruceae oil combined with radiotherapy for the treatment of esophageal cancer

Clinical observation on treatment of acute myelocytic leukemia by supplementing Qi, Nourishing Yin and clearing heat principle

Clinical observation on effect of yiqi huoxue recipe in comprehensive treatment on advanced stage of esophageal cancer

Related Author

No data

Related Institution

Department of Rheumatology, Southwest Hospital, Third Military Medical University

Department of Health Statistics, Third Military Medical University

Department of Radiation Oncology, Zhengzhou People’s Hospital

Department of Radiation Oncology, Affiliated Hospital of Zhengzhou University

Affiliated Hospital of Shandong University of TCM

Address：1 Caochang, xiyuan, Beijing, People's Republic of China Postal code：100091
Tel：010-62886827, 62877592 Fax：010-62874291
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备05067934号-1 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰