Literature DB >> 32469931

ATR-FTIR spectroscopy as adjunct method to the microscopic examination of hematoxylin and eosin-stained tissues in diagnosing lung cancer.

Ruth Bangaoil1,2,3, Abegail Santillan1,2, Lara Mae Angeles3,4, Lorenzo Abanilla5, Antonio Lim5, Ma Cristina Ramos1,2,6, Allan Fellizar1,2,7, Leonardo Guevarra2,8, Pia Marie Albano1,2,6.   

Abstract

Lung cancer remains the leading cause of cancer-related death worldwide. Since prognosis and treatment outcomes rely on fast and accurate diagnosis, there is a need for more cost-effective, sensitive, and specific method for lung cancer detection. Thus, this study aimed to determine the ability of ATR-FTIR in discriminating malignant from benign lung tissues and evaluate its concordance with H&E staining. Three (3) 5μm-thick sections were cut from formalin fixed paraffin embedded (FFPE) cell or tissue blocks from patients with lung lesions. The outer sections were H&E-stained and sent to two (2) pathologists to confirm the histopathologic diagnosis. The inner section was deparaffinized by standard xylene method and then subjected to ATR-FTIR analysis. Distinct spectral profiles that distinguished (p<0.05) one sample from another, called the "fingerprint region", were observed in five (5) peak patterns representing the amides, lipids, and nucleic acids. Principal component analysis and hierarchical cluster analysis evidently clustered the benign from malignant tissues. ATR-FTIR showed 97.73% sensitivity, 92.45% specificity, 94.85% accuracy, 91.49% positive predictive value and 98.00% negative predictive value in discriminating benign from malignant lung tissue. Further, strong agreement was observed between histopathologic readings and ATR-FTIR analysis. This study shows the potential of ATR-FTIR spectroscopy as a potential adjunct method to the gold standard, the microscopic examination of hematoxylin and eosin (H&E)-stained tissues, in diagnosing lung cancer.

Entities:  

Year:  2020        PMID: 32469931     DOI: 10.1371/journal.pone.0233626

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  6 in total

1.  Discrimination of malignant from benign thyroid lesions through neural networks using FTIR signals obtained from tissues.

Authors:  Abegail Santillan; Rock Christian Tomas; Ruth Bangaoil; Rolando Lopez; Maria Honolina Gomez; Allan Fellizar; Antonio Lim; Lorenzo Abanilla; Maria Cristina Ramos; Leonardo Guevarra; Pia Marie Albano
Journal:  Anal Bioanal Chem       Date:  2021-02-10       Impact factor: 4.142

2.  Using an ATR-FTIR Technique to Detect Pathogens in Patients with Urinary Tract Infections: A Pilot Study.

Authors:  Sheng-Wei Pan; Hsiao-Chi Lu; Jen-Iu Lo; Li-Ing Ho; Ton-Rong Tseng; Mei-Lin Ho; Bing-Ming Cheng
Journal:  Sensors (Basel)       Date:  2022-05-10       Impact factor: 3.847

3.  Detection of breast cancer by ATR-FTIR spectroscopy using artificial neural networks.

Authors:  Rock Christian Tomas; Anthony Jay Sayat; Andrea Nicole Atienza; Jannah Lianne Danganan; Ma Rollene Ramos; Allan Fellizar; Kin Israel Notarte; Lara Mae Angeles; Ruth Bangaoil; Abegail Santillan; Pia Marie Albano
Journal:  PLoS One       Date:  2022-01-26       Impact factor: 3.240

4.  The effect of N6-methyladenosine (m6A) factors on the development of acute respiratory distress syndrome in the mouse model.

Authors:  Liming Fei; Gengyun Sun; Juan Sun; Dong Wu
Journal:  Bioengineered       Date:  2022-03       Impact factor: 3.269

5.  Analysis of Hazard Factors Affecting the Quality of Life for Lung Cancer Patients after Chemotherapy.

Authors:  Lianying Wen; Xiaohong Liao; Yanjin Cao; Yanxiu Liu; Wei Wu; Yan Chen; Huiyu Liu
Journal:  J Healthc Eng       Date:  2022-04-20       Impact factor: 3.822

6.  Artificial neural network in the discrimination of lung cancer based on infrared spectroscopy.

Authors:  Eiron John Lugtu; Denise Bernadette Ramos; Alliah Jen Agpalza; Erika Antoinette Cabral; Rian Paolo Carandang; Jennica Elia Dee; Angelica Martinez; Julius Eleazar Jose; Abegail Santillan; Ruth Bangaoil; Pia Marie Albano; Rock Christian Tomas
Journal:  PLoS One       Date:  2022-05-12       Impact factor: 3.752

  6 in total

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