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The development of plastic surgery techniques allows for preserving and reconstruction of function after resection of malignant tumors. From split thickness skin grafts to pedicled and free tissue transfer multiple techniques are at hand to restore body integrity. Sufficient soft tissue coverage allows for adjuvant radiation therapy or can cure its sequelae. Nerve, tendon and muscle transfers are used to regain motor function of the extremities. Even large bony defects can be treated by microsurgically transferring fibula, pelvic and femoral bone. In case main vessels need to be resected reconstruction is possible with autologous and artificial grafts. By means of plastic surgery thoracic and abdominal defects can be covered so that foremost unresectable tumors become curable. Unfortunately the knowledge of these techniques is not very popular with oncologic surgeons. Therefore we suggest as a clinical topic the role of reconstructive surgery in the multimodal treatment of oncologic patients. The focus will be on different areas of the body, therefore articles for reconstructional procedures at the head, the extremities, the trunk, the thoracic wall, the breast, and the foot will be invited. Another focus will be the role of reconstructive procedures in the multimodal treatment concept consisting of radiation and chemotherapy as well. By knowing and applying the opportunities of plastic surgery the quality of live of the oncologic patient can be significantly improved.
skalp defect --- free flap --- Pedicled flap --- Breast reconstruction --- breast cancer --- Soft Tissue Sarcoma --- Soft tissue reconstruction --- plastic surgery
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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact
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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact
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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact
Medicine --- Oncology --- rare tumors --- bone and soft tissue sarcoma --- neuroendocrine neoplasms and endocrine gland tumors --- central nervous system neoplasms --- cholangiocarcinoma --- von Hippel-Lindau disease --- rare tumors --- bone and soft tissue sarcoma --- neuroendocrine neoplasms and endocrine gland tumors --- central nervous system neoplasms --- cholangiocarcinoma --- von Hippel-Lindau disease
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Oncology. Neoplasms --- kwaadaardige gezwellen --- Sarcoma --- Sarcome --- Periodicals. --- Périodiques --- Sarcoma. --- Health Sciences --- Life Sciences --- Clinical Medicine --- General and Others --- Micro and Molecular Biology --- oncology --- sarcoma --- Oncology. --- Connective Tissue. --- Cancer --- Tumors --- Sarcoma, Epithelioid --- Sarcoma, Soft Tissue --- Sarcoma, Spindle Cell --- Epithelioid Sarcoma --- Epithelioid Sarcomas --- Sarcomas --- Sarcomas, Epithelioid --- Sarcomas, Soft Tissue --- Sarcomas, Spindle Cell --- Soft Tissue Sarcoma --- Soft Tissue Sarcomas --- Spindle Cell Sarcoma --- Spindle Cell Sarcomas
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Sarcoma --- Sarcoma. --- Sarcoma, Epithelioid --- Sarcoma, Soft Tissue --- Sarcoma, Spindle Cell --- Epithelioid Sarcoma --- Epithelioid Sarcomas --- Sarcomas --- Sarcomas, Epithelioid --- Sarcomas, Soft Tissue --- Sarcomas, Spindle Cell --- Soft Tissue Sarcoma --- Soft Tissue Sarcomas --- Spindle Cell Sarcoma --- Spindle Cell Sarcomas --- neoplasms --- sarcomas --- tumours --- Cancer --- Tumors --- Oncology. Neoplasms --- Oncology
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Fluorodeoxyglucose F18 --- Fluorine Radioisotopes --- Soft Tissue Neoplasms --- Dideoxynucleosides --- Tomography, Emission-Computed --- Sarcoma --- Sarcoma, Epithelioid --- Sarcoma, Soft Tissue --- Sarcoma, Spindle Cell --- Epithelioid Sarcoma --- Epithelioid Sarcomas --- Sarcomas --- Sarcomas, Epithelioid --- Sarcomas, Soft Tissue --- Sarcomas, Spindle Cell --- Soft Tissue Sarcoma --- Soft Tissue Sarcomas --- Spindle Cell Sarcoma --- Spindle Cell Sarcomas --- ddNus --- 2',3'-Dideoxynucleosides --- Dideoxyribonucleosides --- 2',3' Dideoxynucleosides --- Neoplasm, Soft Tissue --- Neoplasms, Soft Tissue --- Soft Tissue Neoplasm --- Neoplasms, Connective Tissue --- Radioisotopes, Fluorine --- Fluorine --- 18F-FDG --- Fluorine-18-fluorodeoxyglucose --- Fluorodeoxyglucose F 18 --- 18F Fluorodeoxyglucose --- 18FDG --- 2-Fluoro-2-deoxy-D-glucose --- 2-Fluoro-2-deoxyglucose --- Fludeoxyglucose F 18 --- 2 Fluoro 2 deoxy D glucose --- 2 Fluoro 2 deoxyglucose --- F 18, Fludeoxyglucose --- F 18, Fluorodeoxyglucose --- F18, Fluorodeoxyglucose --- Fluorine 18 fluorodeoxyglucose --- Fluorodeoxyglucose, 18F --- diagnostic use --- radionuclide imaging --- methods --- Theses --- diagnostic use.
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Radiomics is one of the most successful branches of research in the field of image processing and analysis, as it provides valuable quantitative information for the personalized medicine. It has the potential to discover features of the disease that cannot be appreciated with the naked eye in both preclinical and clinical studies. In general, all quantitative approaches based on biomedical images, such as positron emission tomography (PET), computed tomography (CT) and magnetic resonance imaging (MRI), have a positive clinical impact in the detection of biological processes and diseases as well as in predicting response to treatment. This Special Issue, “Image Processing and Analysis for Preclinical and Clinical Applications”, addresses some gaps in this field to improve the quality of research in the clinical and preclinical environment. It consists of fourteen peer-reviewed papers covering a range of topics and applications related to biomedical image processing and analysis.
Research & information: general --- Chemistry --- deep learning --- segmentation --- prostate --- MRI --- ENet --- UNet --- ERFNet --- radiomics --- gamma knife --- imaging quantification --- [11C]-methionine positron emission tomography --- cancer --- atrial fibrillation --- 4D-flow --- stasis --- pulmonary vein ablation --- convolutional neural network --- transfer learning --- maxillofacial fractures --- computed tomography images --- radiography --- xenotransplant --- cancer cells --- zebrafish image analysis --- in vivo assay --- convolutional neural network (CNN) --- magnetic resonance imaging (MRI) --- neoadjuvant chemoradiation therapy (nCRT) --- pathologic complete response (pCR) --- rectal cancer --- radiomics feature robustness --- PET/MRI co-registration --- image registration --- fundus image --- feature extraction --- glomerular filtration rate --- Gate’s method --- renal depth --- computed tomography --- computer-aided diagnosis --- medical-image analysis --- automated prostate-volume estimation --- abdominal ultrasound images --- image-patch voting --- soft tissue sarcoma --- volume estimation --- artificial intelligence --- Basal Cell Carcinoma --- skin lesion --- classification --- colon --- positron emission tomography-computed tomography --- nuclear medicine --- image pre-processing --- high-level synthesis --- X-ray pre-processing --- pipelined architecture --- n/a --- Gate's method
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Radiomics is one of the most successful branches of research in the field of image processing and analysis, as it provides valuable quantitative information for the personalized medicine. It has the potential to discover features of the disease that cannot be appreciated with the naked eye in both preclinical and clinical studies. In general, all quantitative approaches based on biomedical images, such as positron emission tomography (PET), computed tomography (CT) and magnetic resonance imaging (MRI), have a positive clinical impact in the detection of biological processes and diseases as well as in predicting response to treatment. This Special Issue, “Image Processing and Analysis for Preclinical and Clinical Applications”, addresses some gaps in this field to improve the quality of research in the clinical and preclinical environment. It consists of fourteen peer-reviewed papers covering a range of topics and applications related to biomedical image processing and analysis.
deep learning --- segmentation --- prostate --- MRI --- ENet --- UNet --- ERFNet --- radiomics --- gamma knife --- imaging quantification --- [11C]-methionine positron emission tomography --- cancer --- atrial fibrillation --- 4D-flow --- stasis --- pulmonary vein ablation --- convolutional neural network --- transfer learning --- maxillofacial fractures --- computed tomography images --- radiography --- xenotransplant --- cancer cells --- zebrafish image analysis --- in vivo assay --- convolutional neural network (CNN) --- magnetic resonance imaging (MRI) --- neoadjuvant chemoradiation therapy (nCRT) --- pathologic complete response (pCR) --- rectal cancer --- radiomics feature robustness --- PET/MRI co-registration --- image registration --- fundus image --- feature extraction --- glomerular filtration rate --- Gate’s method --- renal depth --- computed tomography --- computer-aided diagnosis --- medical-image analysis --- automated prostate-volume estimation --- abdominal ultrasound images --- image-patch voting --- soft tissue sarcoma --- volume estimation --- artificial intelligence --- Basal Cell Carcinoma --- skin lesion --- classification --- colon --- positron emission tomography-computed tomography --- nuclear medicine --- image pre-processing --- high-level synthesis --- X-ray pre-processing --- pipelined architecture --- n/a --- Gate's method
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Radiomics is one of the most successful branches of research in the field of image processing and analysis, as it provides valuable quantitative information for the personalized medicine. It has the potential to discover features of the disease that cannot be appreciated with the naked eye in both preclinical and clinical studies. In general, all quantitative approaches based on biomedical images, such as positron emission tomography (PET), computed tomography (CT) and magnetic resonance imaging (MRI), have a positive clinical impact in the detection of biological processes and diseases as well as in predicting response to treatment. This Special Issue, “Image Processing and Analysis for Preclinical and Clinical Applications”, addresses some gaps in this field to improve the quality of research in the clinical and preclinical environment. It consists of fourteen peer-reviewed papers covering a range of topics and applications related to biomedical image processing and analysis.
Research & information: general --- Chemistry --- deep learning --- segmentation --- prostate --- MRI --- ENet --- UNet --- ERFNet --- radiomics --- gamma knife --- imaging quantification --- [11C]-methionine positron emission tomography --- cancer --- atrial fibrillation --- 4D-flow --- stasis --- pulmonary vein ablation --- convolutional neural network --- transfer learning --- maxillofacial fractures --- computed tomography images --- radiography --- xenotransplant --- cancer cells --- zebrafish image analysis --- in vivo assay --- convolutional neural network (CNN) --- magnetic resonance imaging (MRI) --- neoadjuvant chemoradiation therapy (nCRT) --- pathologic complete response (pCR) --- rectal cancer --- radiomics feature robustness --- PET/MRI co-registration --- image registration --- fundus image --- feature extraction --- glomerular filtration rate --- Gate's method --- renal depth --- computed tomography --- computer-aided diagnosis --- medical-image analysis --- automated prostate-volume estimation --- abdominal ultrasound images --- image-patch voting --- soft tissue sarcoma --- volume estimation --- artificial intelligence --- Basal Cell Carcinoma --- skin lesion --- classification --- colon --- positron emission tomography-computed tomography --- nuclear medicine --- image pre-processing --- high-level synthesis --- X-ray pre-processing --- pipelined architecture --- deep learning --- segmentation --- prostate --- MRI --- ENet --- UNet --- ERFNet --- radiomics --- gamma knife --- imaging quantification --- [11C]-methionine positron emission tomography --- cancer --- atrial fibrillation --- 4D-flow --- stasis --- pulmonary vein ablation --- convolutional neural network --- transfer learning --- maxillofacial fractures --- computed tomography images --- radiography --- xenotransplant --- cancer cells --- zebrafish image analysis --- in vivo assay --- convolutional neural network (CNN) --- magnetic resonance imaging (MRI) --- neoadjuvant chemoradiation therapy (nCRT) --- pathologic complete response (pCR) --- rectal cancer --- radiomics feature robustness --- PET/MRI co-registration --- image registration --- fundus image --- feature extraction --- glomerular filtration rate --- Gate's method --- renal depth --- computed tomography --- computer-aided diagnosis --- medical-image analysis --- automated prostate-volume estimation --- abdominal ultrasound images --- image-patch voting --- soft tissue sarcoma --- volume estimation --- artificial intelligence --- Basal Cell Carcinoma --- skin lesion --- classification --- colon --- positron emission tomography-computed tomography --- nuclear medicine --- image pre-processing --- high-level synthesis --- X-ray pre-processing --- pipelined architecture
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