Literature DB >> 10672539

In vivo detection and staging of epithelial dysplasias and malignancies based on the quantitative assessment of acetic acid-tissue interaction kinetics.

C J Balas1, G C Themelis, E P Prokopakis, I Orfanudaki, E Koumantakis, E S Helidonis.   

Abstract

A novel approach to the problem of non-destructive detection and staging of tissue lesions is presented. The method relies on the in vivo quantitative assessment of the spatial and temporal alterations of light-scattering properties, induced in epithelial dysplasias and malignancies of the cervix and larynx, after topical application of acetic acid solution. Initial clinical trials show that the method is capable of detecting incipient lesions and that differences in the dysplasia and malignancy grade are clearly manifested in the measured temporal characteristics of the phenomenon.

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Year:  1999        PMID: 10672539     DOI: 10.1016/s1011-1344(99)00133-5

Source DB:  PubMed          Journal:  J Photochem Photobiol B        ISSN: 1011-1344            Impact factor:   6.252


  5 in total

1.  Quantitative physiology of the precancerous cervix in vivo through optical spectroscopy.

Authors:  Vivide Tuan-Chyan Chang; Peter S Cartwright; Sarah M Bean; Greg M Palmer; Rex C Bentley; Nirmala Ramanujam
Journal:  Neoplasia       Date:  2009-04       Impact factor: 5.715

2.  In vivo imaging of oral neoplasia using a miniaturized fiber optic confocal reflectance microscope.

Authors:  Kristen C Maitland; Ann M Gillenwater; Michelle D Williams; Adel K El-Naggar; Michael R Descour; Rebecca R Richards-Kortum
Journal:  Oral Oncol       Date:  2008-04-08       Impact factor: 5.337

3.  Multimodal nonlinear optical microscopic imaging provides new insights into acetowhitening mechanisms in live mammalian cells without labeling.

Authors:  Jian Lin; Sengkhoon Teh; Wei Zheng; Zi Wang; Zhiwei Huang
Journal:  Biomed Opt Express       Date:  2014-08-22       Impact factor: 3.732

4.  RGB Channel Superposition Algorithm with Acetowhite Mask Images in a Cervical Cancer Classification Deep Learning Model.

Authors:  Yoon Ji Kim; Woong Ju; Kye Hyun Nam; Soo Nyung Kim; Young Jae Kim; Kwang Gi Kim
Journal:  Sensors (Basel)       Date:  2022-05-07       Impact factor: 3.847

5.  In vivo optical virtual biopsy of human oral mucosa with harmonic generation microscopy.

Authors:  Ming-Rung Tsai; Szu-Yu Chen; Dar-Bin Shieh; Pei-Jen Lou; Chi-Kuang Sun
Journal:  Biomed Opt Express       Date:  2011-07-21       Impact factor: 3.732

  5 in total

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