Comparison of Noninvasive Imagery Methods to Observe Healthy and Degenerated Olfactory Epithelium in Mice for the Early Diagnosis of Neurodegenerative Diseases

Etiévant, Adeline; Monnin, Julie; Lihoreau, Thomas; Tamadazte, Brahim; Rougeot, Patrick; Magnin, Éloi; Tavernier, L; Pazart, Lionel; Haffen, Emmanuel

doi:10.3389/fnana.2020.00034

Cited by 3 publications

(4 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, the 'left-right nostril odor detection test', based on the asymmetrical degeneration of the olfactory pathway in AD patients, has been reported as a non-invasive and highly sensitive brief test that can help diagnose AD [226]. Thus, novel studies on AD diagnosis techniques using alteration of the olfactory pathway as an indicator are continuously being conducted [227,228].…”

Section: Olfactory Pathways 261 Olfactory Pathways In Healthy Brainsmentioning

confidence: 99%

Alteration of Neural Pathways and Its Implications in Alzheimer’s Disease

et al. 2022

View full text Add to dashboard Cite

Alzheimer’s disease (AD) is a neurodegenerative disease accompanied by cognitive and behavioral symptoms. These AD-related manifestations result from the alteration of neural circuitry by aggregated forms of amyloid-β (Aβ) and hyperphosphorylated tau, which are neurotoxic. From a neuroscience perspective, identifying neural circuits that integrate various inputs and outputs to determine behaviors can provide insight into the principles of behavior. Therefore, it is crucial to understand the alterations in the neural circuits associated with AD-related behavioral and psychological symptoms. Interestingly, it is well known that the alteration of neural circuitry is prominent in the brains of patients with AD. Here, we selected specific regions in the AD brain that are associated with AD-related behavioral and psychological symptoms, and reviewed studies of healthy and altered efferent pathways to the target regions. Moreover, we propose that specific neural circuits that are altered in the AD brain can be potential targets for AD treatment. Furthermore, we provide therapeutic implications for targeting neuronal circuits through various therapeutic approaches and the appropriate timing of treatment for AD.

show abstract

Section: Olfactory Pathways 261 Olfactory Pathways In Healthy Brainsmentioning

confidence: 99%

Alteration of Neural Pathways and Its Implications in Alzheimer’s Disease

et al. 2022

View full text Add to dashboard Cite

show abstract

“…1 Because of their noninvasive nature, optical techniques are among the most promising methods. 2,3 Current data from the literature support the idea that many cellular and subcellular changes can be detected using these methods. 4,5 Autofluorescence endoscopy imaging (AFEI) and autofluorescence spectroscopy (AFS) have been gaining interest during the last decades.…”

Section: Introductionmentioning

confidence: 98%

“…Many complementary diagnostic tools have been developed to help clinicians 1 . Because of their noninvasive nature, optical techniques are among the most promising methods 2,3 . Current data from the literature support the idea that many cellular and subcellular changes can be detected using these methods 4,5 …”

Section: Introductionmentioning

confidence: 99%

Discrimination of vocal folds lesions by multiclass classification using autofluorescence spectroscopy: An ex vivo study

Gaiffe,

Mahdjoub,

Ramasso

et al. 2024

Head & Neck

Self Cite

View full text Add to dashboard Cite

BackgroundAutofluorescence spectroscopy is effective for noninvasive detection but underutilized in tissue with various pathology analyses. This study evaluates whether AFS can be used to discriminate between different types of laryngeal lesions in view of assisting in vocal fold surgery and preoperative investigations.MethodsA total of 1308 spectra were recorded from 29 vocal fold samples obtained from 23 patients. Multiclass analysis was performed on the spectral data, categorizing lesions into normal, benign, dysplastic, or carcinoma.ResultsThrough an appropriate selection of spectral components and a cascading classification approach based on artificial neural networks, a classification rate of 97% was achieved for each lesion class, compared to 52% using autofluorescence intensity.ConclusionsThe ex vivo study demonstrates the effectiveness of AFS combined with multivariate analysis for accurate classification of vocal fold lesions. Comprehensive analysis of spectral data significantly improves classification accuracy, such as distinguishing malignant from precancerous or benign lesions.

show abstract

“…Many complementary diagnostic tools have been developed to help clinicians 1 . Because of their non-invasive nature, optical techniques are among the most promising methods 2,3 . Current data 4,5 from the literature support the idea that many cellular and subcellular changes can be detected using these methods.…”

Section: Introductionmentioning

confidence: 99%

Discrimination of Vocal Folds Lesions by Multiclass Classification using Autofluorescence Spectroscopy

Gaiffe,

Mahdjoub,

Ramasso

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Objectives: The diagnosis of vocal fold cancer currently relies on invasive surgical biopsies, which can compromise laryngeal function. Distinguishing between different types of laryngeal lesions without invasive tissue sampling is therefore crucial. Autofluorescence spectroscopy (AFS) has proved to be efficient as a non-invasive detection technique but has yet to be fully exploited in the context of a multi-class tissue analysis. This study evaluates whether AFS can be used to discriminate between different types of laryngeal lesions in view of assisting in vocal fold surgery and preoperative investigations. Materials and methods: Ex vivo spectral autofluorescence scans were recorded for each sample using a 405-nm laser excitation. A total of 1308 spectra were recorded from 29 vocal fold samples obtained from 23 patients. Multiclass analysis was conducted on the spectral data, classifying lesions either as normal, benign, dysplastic, or carcinoma. The results were compared to histopathological diagnosis. Results: Through an appropriate selection of spectral components and a cascading classification approach based on artificial neural networks (ANN), a classification rate of 97% was achieved for each lesion class, compared to 52% using autofluorescence intensity. Conclusion: The study demonstrates the effectiveness of AFS combined with multivariate analysis for accurate classification of vocal fold lesions. Comprehensive spectral data analysis significantly improves classification accuracy, even in challenging situations such as distinguishing between malignant and premalignant or benign lesions. This method could provide a way to perform in situ mapping of tissue states for minimally-invasive biopsy and surgical resection margins.

show abstract

Comparison of Noninvasive Imagery Methods to Observe Healthy and Degenerated Olfactory Epithelium in Mice for the Early Diagnosis of Neurodegenerative Diseases

Cited by 3 publications

References 42 publications

Alteration of Neural Pathways and Its Implications in Alzheimer’s Disease

Alteration of Neural Pathways and Its Implications in Alzheimer’s Disease

Discrimination of vocal folds lesions by multiclass classification using autofluorescence spectroscopy: An ex vivo study

Discrimination of Vocal Folds Lesions by Multiclass Classification using Autofluorescence Spectroscopy

Contact Info

Product

Resources

About