In vivo detection of head and neck tumors by hyperspectral imaging combined with deep learning methods

2021 ◽  
Author(s):  
Dennis Eggert ◽  
Marcel Bengs ◽  
Stephan Westermann ◽  
Nils Gessert ◽  
Andreas O.H. Gerstner ◽  
...  
Keyword(s):  
Deep Learning ◽  
Head And Neck ◽  
Hyperspectral Imaging ◽  
Head And Neck Tumors ◽  
Learning Methods ◽  
Neck Tumors ◽  
In Vivo Detection

scholarly journals In Vivo Validation of the BIANCA Biophysical Model: Benchmarking against Rat Spinal Cord RBE Data

2020 ◽  
Vol 21 (11) ◽  
pp. 3973
Author(s):  
Mario P. Carante ◽  
Giulia Aricò ◽  
Alfredo Ferrari ◽  
Christian P. Karger ◽  
Wioletta Kozlowska ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Head And Neck ◽  
Head And Neck Tumors ◽  
Biophysical Model ◽  
Limiting Factors ◽  
Beam Model ◽  
Rat Spinal Cord ◽  
Neck Tumors ◽  
Mixed Beam

(1) Background: Cancer ion therapy is constantly growing thanks to its increased precision and, for heavy ions, its increased biological effectiveness (RBE) with respect to conventional photon therapy. The complex dependence of RBE on many factors demands biophysical modeling. Up to now, only the Local Effect Model (LEM), the Microdosimetric Kinetic Model (MKM), and the “mixed-beam” model are used in clinics. (2) Methods: In this work, the BIANCA biophysical model, after extensive benchmarking in vitro, was applied to develop a database predicting cell survival for different ions, energies, and doses. Following interface with the FLUKA Monte Carlo transport code, for the first time, BIANCA was benchmarked against in vivo data obtained by C-ion or proton irradiation of the rat spinal cord. The latter is a well-established model for CNS (central nervous system) late effects, which, in turn, are the main dose-limiting factors for head-and-neck tumors. Furthermore, these data have been considered to validate the LEM version applied in clinics. (3) Results: Although further benchmarking is desirable, the agreement between simulations and data suggests that BIANCA can predict RBE for C-ion or proton treatment of head-and-neck tumors. In particular, the agreement with proton data may be relevant if the current assumption of a constant proton RBE of 1.1 is revised. (4) Conclusions: This work provides the basis for future benchmarking against patient data, as well as the development of other databases for specific tumor types and/or normal tissues.

VISUALIZATION OF HEAD AND NECK CANCER MODELS WITH A TRIPLE FUSION REPORTER GENE

2012 ◽  
Vol 05 (04) ◽  
pp. 1250028 ◽  
Author(s):  
YING ZHENG ◽  
QIAOYA LIN ◽  
HONGLIN JIN ◽  
JUAN CHEN ◽  
ZHIHONG ZHANG
Keyword(s):  
Head And Neck Cancer ◽  
Animal Models ◽  
Tumor Growth ◽  
Head And Neck ◽  
Reporter Gene ◽  
Neck Cancer ◽  
Bioluminescence Imaging ◽  
Head And Neck Tumors ◽  
Neck Tumors

The development of experimental animal models for head and neck tumors generally rely on the bioluminescence imaging to achieve the dynamic monitoring of the tumor growth and metastasis due to the complicated anatomical structures. Since the bioluminescence imaging is largely affected by the intracellular luciferase expression level and external D-luciferin concentrations, its imaging accuracy requires further confirmation. Here, a new triple fusion reporter gene, which consists of a herpes simplex virus type 1 thymidine kinase (TK) gene for radioactive imaging, a far-red fluorescent protein (mLumin) gene for fluorescent imaging, and a firefly luciferase gene for bioluminescence imaging, was introduced for in vivo observation of the head and neck tumors through multi-modality imaging. Results show that fluorescence and bioluminescence signals from mLumin and luciferase, respectively, were clearly observed in tumor cells, and TK could activate suicide pathway of the cells in the presence of nucleotide analog-ganciclovir (GCV), demonstrating the effectiveness of individual functions of each gene. Moreover, subcutaneous and metastasis animal models for head and neck tumors using the fusion reporter gene-expressing cell lines were established, allowing multi-modality imaging in vivo. Together, the established tumor models of head and neck cancer based on the newly developed triple fusion reporter gene are ideal for monitoring tumor growth, assessing the drug therapeutic efficacy and verifying the effectiveness of new treatments.

scholarly journals Visualizing Head and Neck Tumors in Vivo Using Near-Infrared Fluorescent Transferrin Conjugate

2008 ◽  
Vol 7 (1) ◽  
pp. 7290.2008.0006 ◽  
Author(s):  
Liang Shan ◽  
Yubin Hao ◽  
Songping Wang ◽  
Alexandru Korotcov ◽  
Renshu Zhang ◽  
...  
Keyword(s):  
Head And Neck ◽  
Near Infrared ◽  
Head And Neck Tumors ◽  
Neck Tumors

Initial clinical experience with Epid-based in-vivo dosimetry for VMAT treatments of head-and-neck tumors

2016 ◽  
Vol 32 (1) ◽  
pp. 52-58 ◽  
Author(s):  
Savino Cilla ◽  
Daniela Meluccio ◽  
Andrea Fidanzio ◽  
Luigi Azario ◽  
Anna Ianiro ◽  
...  
Keyword(s):  
Head And Neck ◽  
Clinical Experience ◽  
Head And Neck Tumors ◽  
In Vivo Dosimetry ◽  
Neck Tumors ◽  
Initial Clinical Experience

scholarly journals Deep Learning in Head and Neck Tumor Multiomics Diagnosis and Analysis: Review of the Literature

2021 ◽  
Vol 12 ◽  
Author(s):  
Xi Wang ◽  
Bin-bin Li
Keyword(s):  
Image Analysis ◽  
Deep Learning ◽  
Head And Neck ◽  
Medical Image Analysis ◽  
Biological Data ◽  
Head And Neck Tumors ◽  
Neck Tumors ◽  
Multiple Dimensions ◽  
Early Tumor ◽  
Aided Diagnosis

Head and neck tumors are the sixth most common neoplasms. Multiomics integrates multiple dimensions of clinical, pathologic, radiological, and biological data and has the potential for tumor diagnosis and analysis. Deep learning (DL), a type of artificial intelligence (AI), is applied in medical image analysis. Among the DL techniques, the convolution neural network (CNN) is used for image segmentation, detection, and classification and in computer-aided diagnosis. Here, we reviewed multiomics image analysis of head and neck tumors using CNN and other DL neural networks. We also evaluated its application in early tumor detection, classification, prognosis/metastasis prediction, and the signing out of the reports. Finally, we highlighted the challenges and potential of these techniques.

scholarly journals Head and neck tumors and assisted reproductive technologies: social and legal aspects

2020 ◽  
Vol 10 (3) ◽  
pp. 90-96
Author(s):  
N. A. Ognerubov
Keyword(s):  
Head And Neck ◽  
Legal Status ◽  
Assisted Reproductive Technologies ◽  
Reproductive Technologies ◽  
Head And Neck Cancers ◽  
Head And Neck Tumors ◽  
Central Nervous System Tumors ◽  
Neck Tumors

Background. Currently, the proportion of pregnancies obtained by assisted reproductive technologies (ARTs) reaches 1.7–4.0 %. Short-term and long-term results of ART implementation require public and, most importantly, legal assessment. Some publications suggest higher risks of congenital deformities and head and neck cancers in children conceived by ART.Objective: to review publications analyzing the problem of head and neck cancers in children conceived by ART and legal protection of the embryo.Materials and methods. We performed retrospective analysis of 42 articles published in 1995–2019, including 33 foreign and 9 Russian articles.Results. Earlier studies have demonstrated that children conceived by ART have an increased risk of cancers, including head and neck cancers, such as central nervous system tumors and retinoblastoma. Recent publications have shown no significant differences in the prevalence of malignant tumors between children born after ART and children conceived naturally. Nevertheless, the risk of developing head and neck tumors is higher in children after ART. The analysis of Russian and international legislation has demonstrated that the legal status of an embryo differs depending on whether it develops in vivo or in vitro.Conclusion. Children conceived by ART are at higher risk of malignant head and neck tumors, primarily central nervous system tumors and retinoblastoma. The legal status of an embryo depends on whether it develops in vivo or in vitro.

Head and neck tumors in children and adolescents: Impact of a multidisciplinary tumor board

Oral Oncology ◽  
2021 ◽  
Vol 114 ◽  
pp. 105145
Author(s):  
Charlotte Benoit ◽  
Daniel Orbach ◽  
Stacy Cyrille ◽  
Kahina Belhous ◽  
Véronique Minard-Colin ◽  
...  
Keyword(s):  
Children And Adolescents ◽  
Head And Neck ◽  
Head And Neck Tumors ◽  
Tumor Board ◽  
Neck Tumors ◽  
Multidisciplinary Tumor Board
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