المؤلفون: Karlsson, Niklas, Zackrisson, Sophia, Buchwald, Pamela

المصدر: Scandinavian Journal of Surgery EpiHealth: Epidemiology for Health. 110(3):373-379

مصطلحات موضوعية: Colorectal Neoplasms/diagnostic imaging, Hernia, Ventral/diagnostic imaging, Humans, Incisional Hernia/diagnostic imaging, Laparoscopy, Prevalence, Risk Factors, Tomography, X-Ray Computed, Medicin och hälsovetenskap, Klinisk medicin, Kirurgi, Medical and Health Sciences, Clinical Medicine, Surgery

URL الوصول: https://lup.lub.lu.se/record/0cbd102d-fdaa-4dfd-9498-3b477a1e93f2
http://dx.doi.org/10.1177/1457496920976053

المؤلفون: Habib Zaidi, Saleh Sandoughdaran, Sajad P. Shayesteh, Ali Salahshour, Fariba Jozian, Maziar Khateri, Hossein Arabi, Seyed Hasan Fatehi Feyzabad, Isaac Shiri, Ghasem Hajianfar, Ali Yaghobi Joybari, Mostafa Nazari

المصدر: Medical Physics, 48(7), 3691-3701. Wiley
Shayesteh, S, Nazari, M, Salahshour, A, Sandoughdaran, S, Hajianfar, G, Khateri, M, Yaghobi Joybari, A, Jozian, F, Fatehi Feyzabad, S H, Arabi, H, Shiri, I & Zaidi, H 2021, ' Treatment response prediction using MRI-based pre-, post-, and delta-radiomic features and machine learning algorithms in colorectal cancer ', Medical Physics, vol. 48, no. 7, pp. 3691-3701 . https://doi.org/10.1002/mp.14896
Medical Physics, Vol. 48, No 7 (2021) pp. 3691-3701

مصطلحات موضوعية: Multivariate analysis, Colorectal cancer, computer.software_genre, 030218 nuclear medicine & medical imaging, Machine Learning, Bayes' theorem, 0302 clinical medicine, HARMONIZATION, Medicine, HETEROGENEITY, OUTCOMES, Univariate analysis, medicine.diagnostic_test, SIGNATURE, General Medicine, Magnetic Resonance Imaging, 3. Good health, Random forest, machine learning, radiomics, 030220 oncology & carcinogenesis, delta-radiomics, Colorectal Neoplasms, Algorithm, Algorithms, MRI, Colorectal Neoplasms/diagnostic imaging, CELL LUNG-CANCER, delta‐, Machine learning, ddc:616.0757, CHEMORADIOTHERAPY, 03 medical and health sciences, Naive Bayes classifier, Humans, rectal cancer, CLASSIFIERS, RECTAL-CANCER, Retrospective Studies, Receiver operating characteristic, business.industry, treatment response, Bayes Theorem, Magnetic resonance imaging, medicine.disease, ddc:616.8, MODEL, Artificial intelligence, business, computer

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c49c8794665f2d1e109df83c4af02a8
https://doi.org/10.1002/mp.14896

المؤلفون: Wesdorp, Nina J, Kemna, Ruby, Bolhuis, Karen, van Waesberghe, Jan H T M, Nota, Irene M G C, Struik, Femke, Oulad Abdennabi, Ikrame, Phoa, Saffire S K S, van Dieren, Susan, van Amerongen, Martinus J, Chapelle, Thiery, Dejong, Cornelis H C, Engelbrecht, Marc R W, Gerhards, Michael F, Grünhagen, Dirk, van Gulik, Thomas M, Hermans, John J, de Jong, Koert P, Klaase, Joost M, Liem, Mike S L, van Lienden, Krijn P, Molenaar, I Quintus, Patijn, Gijs A, Rijken, Arjen M, Ruers, Theo M, Verhoef, Cornelis, de Wilt, Johannes H W, Swijnenburg, Rutger-Jan, Punt, Cornelis J A, Huiskens, Joost, Stoker, Jaap, Kazemier, Geert

المساهمون: Surgery, MUMC+: MA Heelkunde (9), RS: NUTRIM - R2 - Liver and digestive health, Internal medicine, Radiology and nuclear medicine, AGEM - Re-generation and cancer of the digestive system, VU University medical center, CCA - Imaging and biomarkers, Radiology & Nuclear Medicine, Graduate School, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Radiology and Nuclear Medicine, AGEM - Digestive immunity, APH - Methodology, Oncology, Groningen Institute for Organ Transplantation (GIOT), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Value, Affordability and Sustainability (VALUE)

المصدر: Radiology. Imaging cancer, 4(3):e210105. Radiological Society of North America Inc.
Radiology: Imaging Cancer, 4(3):e210105. Radiological Society of North America Inc.
Radiology-imaging cancer
Radiol Imaging Cancer
Radiology: Imaging Cancer, 4
Dutch Colorectal Liver Expert Panel 2022, ' Interobserver Variability in CT-based Morphologic Tumor Response Assessment of Colorectal Liver Metastases ', Radiology: Imaging Cancer, vol. 4, no. 3, e210105, pp. e210105 . https://doi.org/10.1148/rycan.210105
Radiology: Imaging Cancer, 4, 3
Radiology. Imaging cancer, 4(3):e210105

مصطلحات موضوعية: Colorectal Neoplasms/diagnostic imaging, Male, Tumor Response, Abdomen/Gastrointestinal, Tomography, X-Ray Computed/methods, Observer Performance, Metastases, Tumours of the digestive tract Radboud Institute for Health Sciences [Radboudumc 14], Liver Neoplasms/diagnostic imaging, Humans, Prospective Studies, Tomography, Original Research, Computer. Automation, Observer Variation, Liver Neoplasms, General Medicine, Middle Aged, X-Ray Computed/methods, Liver, Oncology, Female, Human medicine, Colorectal Neoplasms, Tomography, X-Ray Computed, Rare cancers Radboud Institute for Health Sciences [Radboudumc 9], CT

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4769aff13cd9f3cb916e7eca8d5f3b1
https://doi.org/10.1148/rycan.210105

المؤلفون: Roger Fonollà, Quirine E.W. van der Zander, Ramon M. Schreuder, Sharmila Subramaniam, Pradeep Bhandari, Ad A.M. Masclee, Erik J. Schoon, Fons van der Sommen, Peter H.N. de With

المساهمون: RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy, Interne Geneeskunde, MUMC+: MA Maag Darm Lever (9), RS: NUTRIM - R2 - Liver and digestive health, Video Coding & Architectures, Center for Care & Cure Technology Eindhoven, Eindhoven MedTech Innovation Center, EAISI Health

المصدر: Artificial Intelligence in Medicine, 121:102178. Elsevier Science
Artificial Intelligence in Medicine, 121:102178. Elsevier
Artificial Intelligence in Medicine

مصطلحات موضوعية: Colorectal Neoplasms/diagnostic imaging, Adenoma, Artificial intelligence, Light, Computer science, COMPUTER-AIDED DIAGNOSIS, Medicine (miscellaneous), Colonic Polyps, Medical classification, BASIC, SDG 3 – Goede gezondheid en welzijn, Chromoendoscopy, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, CHROMOENDOSCOPY, Humans, Blue light imaging, LESIONS, Contextual image classification, business.industry, Deep learning, Pattern recognition, Colonoscopy, CADx, Linked color imaging, Computer-aided diagnosis, Feature (computer vision), 030220 oncology & carcinogenesis, OPTICAL DIAGNOSIS, 030211 gastroenterology & hepatology, Language model, Metric (unit), Image captioning, Colonic Polyps/diagnostic imaging, business, Colorectal Neoplasms, SYSTEM

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::112760d8889bf87d745e7acf3a601090
https://doi.org/10.1016/j.artmed.2021.102178

المؤلفون: R. Prasad, Laura E. McVeigh, Imeshi Wijetunga, Gemma Marston, Nicola Ingram, PL Coletta, Alex F. Markham

المصدر: Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
Scientific reports
Scientific Reports
McVeigh, L E, Wijetunga, I, Ingram, N, Marston, G, Prasad, R, Markham, A F & Coletta, P L 2019, ' Development of orthotopic tumour models using ultrasound-guided intrahepatic injection ', Scientific Reports, vol. 9, no. 1, 9904 . https://doi.org/10.1038/s41598-019-46410-6

مصطلحات موضوعية: Colorectal Neoplasms/diagnostic imaging, 0301 basic medicine, Male, medicine.medical_specialty, Colorectal cancer, Mice, Nude, lcsh:Medicine, Q1, Article, 03 medical and health sciences, Mice, 0302 clinical medicine, In vivo, Liver Neoplasms/diagnostic imaging, medicine, Tumor Cells, Cultured, Bioluminescence imaging, Animals, Humans, Clinical significance, lcsh:Science, Ultrasonography, Mice, Inbred BALB C, Multidisciplinary, business.industry, Ultrasound, Liver Neoplasms, lcsh:R, Cancer, Histology, Bile duct cancer, Ultrasonography/methods, medicine.disease, Xenograft Model Antitumor Assays, Ultrasound guided, Tumor Burden, Experimental models of disease, Disease Models, Animal, 030104 developmental biology, Female, Cancer imaging, lcsh:Q, Radiology, business, Colorectal Neoplasms, 030217 neurology & neurosurgery

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc498468efd20f229223295b8a594905
http://link.springer.com/article/10.1038/s41598-019-46410-6

المؤلفون: Elisabeth G. Klompenhouwer, M. Taghavi, David B Meek, D.J. van der Reijd, Femke C.R. Staal, F. Imani, Monique Maas, Doenja M. J. Lambregts, Sander Roberti, Regina G. H. Beets-Tan, F.M. Gómez, M. de Boer

المساهمون: RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy, School Office GROW, Faculteit FHML Centraal

المصدر: Staal, F C R, Taghavi, M, van der Reijd, D J, Gomez, F M, Imani, F, Klompenhouwer, E G, Meek, D, Roberti, S, de Boer, M, Lambregts, D M J, Beets-Tan, R G H & Maas, M 2021, ' Predicting local tumour progression after ablation for colorectal liver metastases : CT-based radiomics of the ablation zone ', European Journal of Radiology, vol. 141, 109773 . https://doi.org/10.1016/j.ejrad.2021.109773
European Journal of Radiology, 141:109773. Elsevier Ireland Ltd

مصطلحات موضوعية: Colorectal Neoplasms/diagnostic imaging, Neoplasm recurrence, Radiofrequency ablation, medicine.medical_treatment, Concordance, Neoplasm metastasis, Thermal ablation, X-ray computed, TEXTURE, Colorectal neoplasms, Ablation techniques, 030218 nuclear medicine & medical imaging, law.invention, 03 medical and health sciences, 0302 clinical medicine, Radiomics, law, Liver Neoplasms/diagnostic imaging, Humans, Medicine, CRITERIA, Radiology, Nuclear Medicine and imaging, In patient, CANCER PATIENTS, TERMINOLOGY, RECURRENCE, Tomography, Retrospective Studies, business.industry, Proportional hazards model, Liver Neoplasms, General Medicine, STANDARDIZATION, PERFORMANCE, Ablation, Liver, Local, 030220 oncology & carcinogenesis, Catheter Ablation, SURVIVAL, Tomography, X-Ray Computed, Nuclear medicine, business, Ablation zone

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95f39d25c89b29983e6e3320ba1d1062
https://cris.maastrichtuniversity.nl/en/publications/a002ede2-722b-4f90-8d6c-d91dd60189d7

المؤلفون: Marcion, Guillaume, Hermetet, François, Neiers, Fabrice, Uyanik, Burhan, Dondaine, Lucile, Dias, Alexandre M M, Da Costa, Laurène, Moreau, Mathieu, Bellaye, Pierre-Simon, Collin, Bertrand, Gobbo, Jessica, Briand, Loïc, Seigneuric, Renaud, Kitten, Olivier, Cinier, Mathieu, Garrido, Carmen

المصدر: International Journal of Cancer, 148 (12), 3019-3031 (2021-06-15)

مصطلحات موضوعية: HSP110 Heat-Shock Proteins, HSPH1 protein, human, Peptide Fragments, Peptide Library, Animals, Cell Line, Tumor, Colorectal Neoplasms/diagnostic imaging/drug therapy/metabolism, Female, HSP110 Heat-Shock Proteins/antagonists & inhibitors, Humans, Lymphocytes, Tumor-Infiltrating/drug effects, Macrophages/drug effects/metabolism, Mice, Peptide Fragments/administration & dosage/chemistry/pharmacology, Positron-Emission Tomography, Tumor Microenvironment/drug effects, Xenograft Model Antitumor Assays, HSP110, Nanofitins, anticancer-targeted therapy, small peptide molecules, Human health sciences, Oncology, Sciences de la santé humaine, Oncologie

Relation: urn:issn:0020-7136; urn:issn:1097-0215

URL الوصول: https://orbi.uliege.be/handle/2268/291322

المؤلفون: Kandel, Pujan, Brand, Eelco Christiaan, Pelt, Joe, Ball, Colleen T., Chen, Wei Chung, Bouras, Ernest P., Gomez, Victoria, Raimondo, Massimo, Woodward, Timothy A., Wallace, Michael B.

المصدر: Gut, 68(9), 1633. BMJ Publishing Group

مصطلحات موضوعية: Colorectal Neoplasms/diagnostic imaging, Male, Adult, endoscopic procedures, Endoscopic Mucosal Resection, Colonoscopy/methods, Biopsy, Cicatrix/pathology, Observational Study, Unnecessary Procedures, Sensitivity and Specificity, Neoplasm Recurrence, Local/diagnostic imaging, colonoscopy, Predictive Value of Tests, Journal Article, Humans, Prospective Studies, Aged, Aged, 80 and over, Observer Variation, Research Support, Non-U.S. Gov't, Gastroenterology, Middle Aged, Narrow Band Imaging/methods, Female, Follow-Up Studies

وصف الملف: image/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::83664680519043811fa3743ae134c79f
https://dspace.library.uu.nl/handle/1874/388666

المصدر: Gut. 68(9):1633

مصطلحات موضوعية: Colorectal Neoplasms/diagnostic imaging, Male, Adult, endoscopic procedures, Endoscopic Mucosal Resection, Colonoscopy/methods, Local/diagnostic imaging, Biopsy, Cicatrix/pathology, Observational Study, Unnecessary Procedures, Research Support, Sensitivity and Specificity, colonoscopy, Predictive Value of Tests, 80 and over, Journal Article, Humans, Prospective Studies, Non-U.S. Gov't, Aged, Observer Variation, Gastroenterology, Middle Aged, Narrow Band Imaging/methods, Neoplasm Recurrence, Female, Follow-Up Studies

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dris___00893::caf2d11050e82e7bfb9b3e81148fa304
https://hdl.handle.net/1874/388666

المؤلفون: Peiman Poornoroozy, Bassam Mahdi, Per Vadgaard Andersen, Michael Bau Mortensen, Signe Bremholm Ellebæk, Torsten Kjærulf Pless, Claus Wilki Fristrup

المصدر: Ellebaek, S B, Fristrup, C W, Pless, T, Poornoroozy, P H, Andersen, P V, Mahdi, B & Mortensen, M B 2018, ' The value of contrast-enhanced laparoscopic ultrasound during robotic-assisted surgery for primary colorectal cancer ', Journal of Clinical Ultrasound, vol. 46, no. 3, pp. 178-182 . https://doi.org/10.1002/jcu.22560

مصطلحات موضوعية: Colorectal Neoplasms/diagnostic imaging, Adult, Male, medicine.medical_specialty, Colorectal cancer, Colon, Contrast Media, Metastasis, Laparoscopy/methods, 03 medical and health sciences, 0302 clinical medicine, Robotic Surgical Procedures, Colon/diagnostic imaging, medicine, Laparoscopic ultrasonography, Humans, Radiology, Nuclear Medicine and imaging, Prospective Studies, Aged, Ultrasonography, Rectum/diagnostic imaging, Aged, 80 and over, business.industry, Robotic Surgical Procedures/methods, Rectum, Laparoscopic ultrasound, Ultrasonography/methods, Middle Aged, Robotic assisted surgery, medicine.disease, Image Enhancement, Occult, Surgery, 030220 oncology & carcinogenesis, Feasibility Studies, 030211 gastroenterology & hepatology, Female, Laparoscopy, Image Enhancement/methods, Detection rate, business, Complication, Colorectal Neoplasms, Follow-Up Studies

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3220cf0f5f15fadc19f930032160de3
https://pubmed.ncbi.nlm.nih.gov/29131348