Browsing by Author "Tsai, Ming-Hsui"

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Analyze fluorescent characteristic of cancer cell using hyperspectroscopic imaging system (HIS)
(2012-01-01)
Hsieh, Yao-Fang
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Chen, Chih-Hsien
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Mang, Ou-Yang
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Duann, Jeng-Ren
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Chiou, Jin-Chern
Currently, the cancer was examined by diagnosing the pathological changes of tumor. If the examination of cancer can diagnose the tumor before the cell occur the pathological changes, the cure rate of cancer will increase. This research develops a human-machine interface for hyper-spectral microscope. The hyper-spectral microscope can scan the specific area of cell and records the data of spectrum and intensity. These data is helpful to diagnose tumor. This study finds the hyper-spectral imaging have two higher intensity points at 550nm and 700nm, and one lower point at 640nm between the two higher points. For analyzing the hyper-spectral imaging, the intensity at the 550nm peak divided by the intensity at 700nm peak. Finally, we determine the accuracy of detection by Gaussian distribution. The accuracy of detecting normal cells achieves 89%, and the accuracy of cancer cells achieves 81%.
LED Induced Autofluorescence (LIAF) Imager with eight multi-filters for Oral Cancer Diagnosis
(2016-01-01)
Huang, Ting-Wei
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Cheng, Nai-Lun
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Tsai, Ming-Hsui
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Chiou, Jin-Chern
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Mang, Ou-Yang
Oral cancer is one of the serious and growing problem in many developing and developed countries. The simple oral visual screening by clinician can reduce 37,000 oral cancer deaths annually worldwide. However, the conventional oral examination with the visual inspection and the palpation of oral lesions is not an objective and reliable approach for oral cancer diagnosis, and it may cause the delayed hospital treatment for the patients of oral cancer or leads to the oral cancer out of control in the late stage. Therefore, a device for oral cancer detection are developed for early diagnosis and treatment. A portable LED Induced autofluorescence (LIAF) imager is developed by our group. It contained the multiple wavelength of LED excitation light and the rotary filter ring of eight channels to capture ex-vivo oral tissue autofluorescence images. The advantages of LIAF imager compared to other devices for oral cancer diagnosis are that LIAF imager has a probe of L shape for fixing the object distance, protecting the effect of ambient light, and observing the blind spot in the deep port between the gumsgingiva and the lining of the mouth. Besides, the multiple excitation of LED light source can induce multiple autofluorescence, and LIAF imager with the rotary filter ring of eight channels can detect the spectral images of multiple narrow bands. The prototype of a portable LIAF imager is applied in the clinical trials for some cases in Taiwan, and the images of the clinical trial with the specific excitation show the significant differences between normal tissue and oral tissue under these cases.
Portable LED-induced autofluorescence spectroscopy for oral cancer diagnosis
(2017-04-01)
Yan, Yung-Jhe
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Huang, Ting-Wei
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Cheng, Nai-Lun
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Hsieh, Yao-Fang
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Tsai, Ming-Hsui
Oral cancer is a serious and growing problem in many developing and developed countries. To improve the cancer screening procedure, we developed a portable light-emitting-diode (LED)-induced autofluorescence (LIAF) imager that contains two wavelength LED excitation light sources and multiple filters to capture ex vivo oral tissue autofluorescence images. Compared with conventional means of oral cancer diagnosis, the LIAF imager is a handier, faster, and more highly reliable solution. The compact design with a tiny probe allows clinicians to easily observe autofluorescence images of hidden areas located in concave deep oral cavities. The ex vivo trials conducted in Taiwan present the design and prototype of the portable LIAF imager used for analyzing 31 patients with 221 measurement points. Using the normalized factor of normal tissues under the excitation source with 365 nm of the central wavelength and without the bandpass filter, the results revealed that the sensitivity was larger than 84%, the specificity was not smaller than over 76%, the accuracy was about 80%, and the area under curve of the receiver operating characteristic (ROC) was achieved at about 87%, respectively. The fact shows the LIAF spectroscopy has the possibilities of ex vivo diagnosis and noninvasive examinations for oral cancer. (C) 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Portable noninvasive system for oral cancer diagnosis
(2012)
Yang, Chin-Siang
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Ou-Yang, Mang
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Hsieh, Yao-Fang
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Chen, Yu-Ta
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Chiou, Jin-Chern
This study presents a portable noninvasive detection system which can get the image of specific spectral immediately, that promote to oral cancer diagnosis. According to research literature show the performance called autofluorescence of cells after exciting by specific wave band of light. It is different of the spectrum distribution for lesions of epithelial cells and normal cells after fluorescence excite, that is a basis of diagnosing to oral cancer. The convenient equipment for detection of oral cancer is modified for existing handheld microscope. From Fig. 1, the UV LED illuminates to the surface of object and excites the cells which produce fluorescent reaction and showed the image with specific wavelength. The image passes through the central channel and filter out unwanted spectral by the selection of filter, and focused by the focus lens on the image sensor, therefore we can achieve the specific wavelength image via fluorescence reaction.
Separating spectral mixtures in hyperspectral image data using independent component analysis: validation with oral cancer tissue sections
(2013-12-01)
Duann, Jeng-Ren
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Jan, Chia-Ing
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Ou-Yang, Mang
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Lin, Chia-Yi
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Mo, Jen-Feng
Recently, hyperspectral imaging (HSI) systems, which can provide 100 or more wavelengths of emission autofluorescence measures, have been used to delineate more complete spectral patterns associated with certain molecules relevant to cancerization. Such a spectral fingerprint may reliably correspond to a certain type of molecule and thus can be treated as a biomarker for the presence of that molecule. However, the outcomes of HSI systems can be a complex mixture of characteristic spectra of a variety of molecules as well as optical interferences due to reflection, scattering, and refraction. As a result, the mixed nature of raw HSI data might obscure the extraction of consistent spectral fingerprints. Here we present the extraction of the characteristic spectra associated with keratinized tissues from the HSI data of tissue sections from 30 oral cancer patients (31 tissue samples in total), excited at two different wavelength ranges (330 to 385 and 470 to 490 nm), using independent and principal component analysis (ICA and PCA) methods. The results showed that for both excitation wavelength ranges, ICA was able to resolve much more reliable spectral fingerprints associated with the keratinized tissues for all the oral cancer tissue sections with significantly higher mean correlation coefficients as compared to PCA (p < 0.001). (C) The Authors.
The new hyperspectral microscopic system for cancer diagnosis
(2011-01-01)
Hsieh, Yao-Fang
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Mang, Ou-Yang
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Chiou, Jin-Chern
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Lin, Yung-Jiun
;
Tsai, Ming-Hsui
Until now, the cancer was examined by diagnosing the pathological changes of tumor. If the examination of cancer can diagnose the tumor before the cell occur the pathological changes, the cure rate of cancer will increase. This research develops a human-machine interface for hyper-spectral microscope. The hyper-spectral microscope can scan the specific area of cell and records the data of spectrum and intensity. These data is helpful to diagnose tumor. This research aims to develop a new system and a human-machine interface to control the hyper-spectral microscope. The interface can control the moving speed of motor, the exposure-time of hyper-spectrum, real-time focus, image of fluorescence, and record the data of spectral intensity and position.
Treatment Success with Titratable Thermoplastic Mandibular Advancement Devices for Obstructive Sleep Apnea: A Comparison of Patient Characteristics
(2017-03-01)
Wang, Tang-Chuan
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Tsou, Yung-An
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Wu, Yi-Fan
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Huang, Chia-Chang
;
Lin, Wesley Wen-Yang
A titratable thermoplastic mandibular advancement devices (MAD) is clearly an effective treatment option in some patients with obstructive sleep apnea (OSA). Determining which patients may be more likely to respond to treatment with thermoplastic MADs and to adhere to treatment would be of obvious clinical relevance. This was an experimental descriptive study (N = 60). Patients with OSA were instructed to wear a titratable thermoplastic MAD for 3 months. Treatment success was defined as a 50% reduction from baseline in the apnea-hypopnea index (AHI) or AHI <10 when wearing MAD. Adherence was defined as MAD use 5 nights/week. Treatment was successful in 66.7% of patients and 60.0% were adherent. All Polysomnographic parameters and visual analogue scale scores (sleep quality, snoring, waking refreshed) were significantly improved after treatment. The patients in whom treatment failed had significantly higher neck circumferences (39.3 cm vs. 37.5 cm, p = 0.014), higher baseline AHI values (26.6 vs. 18.0, p = 0.016), and smaller AHI reduction (-31.8 vs -53.1, p < 0.001) than those in the group in whom treatment succeeded. There were no significant differences in Polysomnographic, cephalometric, or visual analogue scale measures between patients for whom treatment was and was not successful, regardless of baseline values or the change rates after the MAD was placed. Titratable thermoplastic MADs can improve indicators of sleep quality, even in patients in whom treatment is considered to have failed.
Using Innovative Acoustic Analysis to Predict the Postoperative Outcomes of Unilateral Vocal Fold Paralysis
(2016-01-01)
Tsou, Yung-An
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Liu, Yi-Wen
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Chang, Wen-Dien
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Chen, Wei-Chen
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Ke, Hsiang-Chun
Objective. Autologous fat injection laryngoplasty is ineffective for some patients with iatrogenic vocal fold paralysis, and additional laryngeal framework surgery is often required. An acoustically measurable outcome predictor for lipoinjection laryngoplasty would assist phonosurgeons in formulating treatment strategies. Methods. Seventeen thyroid surgery patients with unilateral vocal fold paralysis participated in this study. All subjects underwent lipoinjection laryngoplasty to treat postsurgery vocal hoarseness. After treatment, patients were assigned to success and failure groups on the basis of voice improvement. Linear prediction analysis was used to construct a new voice quality indicator, the number of irregular peaks (NIrrP). It compared with the measures used in the Multi-Dimensional Voice Program(MDVP), such as jitter (frequency perturbation) and shimmer (perturbation of amplitude). Results. By comparing the [i] vowel produced by patients before the lipoinjection laryngoplasty (AUC = 0.98, 95% CI = 0.78-0.99), NIrrP was shown to be a more accurate predictor of long-term surgical outcomes than jitter (AUC = 0.73, 95% CI = 0.47-0.91) and shimmer (AUC = 0.63, 95% CI = 0.37-0.85), as identified by the receiver operating characteristic curve. Conclusions. NIrrP measured using the LP model could be a more accurate outcome predictor than the parameters used in the MDVP.