Suchergebnisse - "Mammography/methods"

Der mögliche Nutzen künstlicher Intelligenz in einem organisierten bevölkerungsbezogenen Screeningprogramm: Erste Ergebnisse und Ausblick

Autoren: Morant, R. Gräwingholt, A. Subelack, J. et al.

Quelle: Radiologie (Heidelb)
Die Radiologie, Hot topics in radiology, 64(10):773-778

Schlagwörter: Breast Neoplasms/diagnostic imaging [MeSH], Female [MeSH], Intervallkarzinome, Machine learning, Early Detection of Cancer/methods [MeSH], Leitthema, Mass Screening/methods [MeSH], Humans [MeSH], Breast cancer, Maschinelles Lernen, Interval cancer, Retrospective Studies [MeSH], Schweiz, Artificial Intelligence [MeSH], Switzerland, Mammography/methods [MeSH], Mammographiescreening, Mammography screening, Breast Neoplasms/diagnosis [MeSH], Brustkrebs

Zugangs-URL: https://repository.publisso.de/resource/frl:6518527

Radiation exposure and screening yield by digital breast tomosynthesis compared to mammography: results of the TOSYMA Trial breast density related

Autoren: Sommer, Alexander Weigel, Stefanie Hense, Hans-Werner et al.

Quelle: Eur Radiol

Schlagwörter: Breast Neoplasms, Middle Aged, Radiation Exposure, Radiation Dosage, Breast Neoplasms/diagnostic imaging [MeSH], Female [MeSH], Aged [MeSH], Early Detection of Cancer/methods [MeSH], Mass Screening/methods [MeSH], Humans [MeSH], Digital breast tomosynthesis, Middle Aged [MeSH], Breast cancer detection, Breast, Breast density, Breast/diagnostic imaging [MeSH], Radiation Exposure [MeSH], Mammography/methods [MeSH], Mammography screening, Breast Density [MeSH], Radiation Dosage [MeSH], Radiation exposure, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Humans, Mass Screening, Female, Early Detection of Cancer, Mammography, Aged, Breast Density

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39012526
https://repository.publisso.de/resource/frl:6523530

Comment j’explore... l’angiomammographie, une nouvelle technique d’imagerie mammaire disponible pour la mise au point des cancers du sein

Autoren: DUMORTIER, AMANDA Lifrange, Eric Danthine, Denis

Schlagwörter: Breast Neoplasms/diagnostic imaging, diagnosis, Mammography/methods, Angiomammography, Radiologie, médecine & imagerie nucléaire, Contrast Media, Breast Neoplasms/diagnosis, Magnetic Resonance Imaging, Sciences de la santé humaine, Breast cancer, Humans, Female, Medical imaging, Human health sciences, MRI, Radiology, nuclear medicine & imaging

Zugangs-URL: https://hdl.handle.net/2268/331979

Influence of AI Decision Support on Radiologists' Performance and Visual Search in Screening Mammography

Autoren: Gommers, J.J.J. Verboom, S.D. Duvivier, K.M. et al.

Quelle: Radiology, 316, 1

Schlagwörter: Breast Neoplasms/diagnostic imaging, Eye Movements, Mammography/methods, Radiologists/statistics & numerical data, Middle Aged, Clinical Competence/statistics & numerical data, Sensitivity and Specificity, Breast/diagnostic imaging, Artificial Intelligence, Medical Imaging - Radboud University Medical Center, IQ health - Radboud University Medical Center, Humans, Female, Early Detection of Cancer, Retrospective Studies, Aged

Zugangs-URL: https://cris.maastrichtuniversity.nl/en/publications/e135574d-b0a0-4e7f-bc61-e36977d09390
https://doi.org/10.1148/radiol.243688
https://pure.amsterdamumc.nl/en/publications/152cc23d-07b3-47cf-b71e-376d218c12da
https://doi.org/10.1148/radiol.243688
https://hdl.handle.net/2066/320997

Comparisons of assessment pathways after abnormal mammography screening in Denmark, Norway, and Spain

Autoren: Susanne Fogh Jørgensen Silje Sagstad Javier Louro et al.

Quelle: Breast Cancer Res Treat
Jørgensen, S F, Sagstad, S, Louro, J, Román, M, Castells, X, Hofvind, S & Njor, S 2024, 'Comparisons of assessment pathways after abnormal mammography screening in Denmark, Norway, and Spain', Breast Cancer Research and Treatment, vol. 205, no. 1, pp. 135-145. https://doi.org/10.1007/s10549-023-07219-0

Schlagwörter: Breast Neoplasms/diagnostic imaging, Mammography/methods, Breast neoplasm, Epidemiology, Norway, Denmark, Breast Neoplasms, Mass screening, Middle Aged, Norway/epidemiology, Denmark/epidemiology, 3. Good health, 03 medical and health sciences, Sensitivity, 0302 clinical medicine, Mass Screening/methods, Spain, Spain/epidemiology, Humans, Mass Screening, Female, Early Detection of Cancer/methods, Early Detection of Cancer, Mammography, Aged

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38285110
https://portal.findresearcher.sdu.dk/da/publications/ed5fb9c0-b173-4fbd-bc2f-23de4328f45b
https://doi.org/10.1007/s10549-023-07219-0
https://pure.au.dk/portal/en/publications/363c8327-43a0-4f83-b413-c54774b6abc0
http://www.scopus.com/inward/record.url?scp=85183345013&partnerID=8YFLogxK
https://doi.org/10.1007/s10549-023-07219-0

The impact of circulating protein levels identified by affinity proteomics on short-term, overall breast cancer risk

Autoren: Felix Grassmann Anders Mälarstig Leo Dahl et al.

Quelle: Br J Cancer

Schlagwörter: Proteomics, 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Risk Factors, Humans, Female, Breast Neoplasms, Prospective Studies, Blood Proteins, Female [MeSH], Proteomics [MeSH], Humans [MeSH], Prospective Studies [MeSH], Risk Factors [MeSH], 692/53/2423, 692/308/174, Article, 692/499, Mammography/methods [MeSH], Breast Neoplasms/diagnosis [MeSH], Blood Proteins [MeSH], article, Mammography

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38135714
https://repository.publisso.de/resource/frl:6523370
https://publications.scilifelab.se/publication/f4fa784e7018440f8e95a5c4fc122634

Comment j’explore. l’angiomammographie, une nouvelle technique d’imagerie mammaire disponible pour la mise au point des cancers du sein. ; Angiomammography, a new breast imaging technique available in the diagnosis management of breast cancers.

Autoren: DUMORTIER, AMANDA Lifrange, Eric Danthine, Denis

Quelle: Revue Médicale de Liège, 80 (4), 241 - 246 (2025-04)

Schlagwörter: Angiomammography, Breast cancer, MRI, Medical imaging, diagnosis, Contrast Media, Humans, Female, Magnetic Resonance Imaging, Breast Neoplasms/diagnostic imaging, Breast Neoplasms/diagnosis, Mammography/methods, Human health sciences, Radiology, nuclear medicine & imaging, Sciences de la santé humaine, Radiologie, médecine & imagerie nucléaire

Relation: urn:issn:0370-629X; urn:issn:2566-1566; https://orbi.uliege.be/handle/2268/331979; info:hdl:2268/331979; info:pmid:40243248

Verfügbarkeit: https://orbi.uliege.be/handle/2268/331979
https://orbi.uliege.be/bitstream/2268/331979/1/A-Dumortier_2025_4_comment-jexplore-langiomammographie-une-nouv_0.pdf

Assessing artificial intelligence in breast screening with stratified results on 306 839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective Investigation Evaluating Screening (ARIES) study

Autoren: Oberije, C. J. G. Currie, R. Leaver, A. et al.

Weitere Verfasser: Oberije, C. J. G. Currie, R. Leaver, A. et al.

Schlagwörter: Humans, Retrospective Studies, Female, Artificial Intelligence, Mammography/methods, Breast Neoplasms/diagnostic imaging/diagnosis/ethnology, Middle Aged, Early Detection of Cancer/methods, Breast Density, United Kingdom, Aged, Ethnicity/statistics & numerical data, Adult, Age Factors, Mass Screening/methods, Artificial intelligence, Health Equity, Primary Health Care

Relation: https://pmc.ncbi.nlm.nih.gov/articles/pmid/40374196/; Oberije CJG, Currie R, Leaver A, Redman A, Teh W, Sharma N, et al. Assessing artificial intelligence in breast screening with stratified results on 306 839 mammograms across geographic regions, age, breast density and ethnicity: A Retrospective Investigation Evaluating Screening (ARIES) study. BMJ health & care informatics. 2025;32(1).; BMJ health & care informatics; PMC12083354; https://hdl.handle.net/11287/623590

Verfügbarkeit: https://hdl.handle.net/11287/623590
https://doi.org/10.1136/bmjhci-2024-101318

Technical feasibility of automated blur detection in digital mammography using convolutional neural network

Autoren: S. Nowakowska V. Vescoli T. Schnitzler et al.

Quelle: Eur Radiol Exp
European Radiology Experimental, Vol 8, Iss 1, Pp 1-11 (2024)

Schlagwörter: Artificial intelligence, Digital mammography, Image processing (computer-assisted), R895-920, Deep learning, Breast Neoplasms, Quality assurance, Medical physics. Medical radiology. Nuclear medicine, 03 medical and health sciences, 0302 clinical medicine, Humans, Feasibility Studies, Radiographic Image Interpretation, Computer-Assisted, Breast Neoplasms/diagnostic imaging [MeSH], Female [MeSH], Humans [MeSH], Retrospective Studies [MeSH], Radiographic Image Interpretation, Computer-Assisted/methods [MeSH], Feasibility Studies [MeSH], Neural Networks, Computer [MeSH], Original Article, Mammography/methods [MeSH], Female, Neural Networks, Computer, Mammography, Retrospective Studies

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39556167
https://doaj.org/article/9df92b2de5ac4045b6238d22d2f0d24e
https://repository.publisso.de/resource/frl:6518274

AI-integrated Screening to Replace Double Reading of Mammograms: A Population-wide Accuracy and Feasibility Study

Autoren: Mohammad T. Elhakim Sarah W. Stougaard Ole Graumann et al.

Quelle: Radiol Artif Intell
Elhakim, M T, Stougaard, S W, Graumann, O, Nielsen, M, Gerke, O, Larsen, L B & Rasmussen, B S B 2024, 'AI-integrated Screening to Replace Double Reading of Mammograms : A Population-wide Accuracy and Feasibility Study', Radiology: Artificial Intelligence, vol. 6, no. 6, e230529. https://doi.org/10.1148/ryai.230529

Schlagwörter: Epidemiology, Breast Neoplasms, Sensitivity and Specificity, Deep Learning, Mass Screening/methods, Artificial Intelligence, Diagnosis, Computer-Assisted/methods, Humans, Mass Screening, Breast, Early Detection of Cancer, Retrospective Studies, Aged, Breast Neoplasms/diagnostic imaging, Mammography/methods, Radiographic Image Interpretation, Reproducibility of Results, Middle Aged, AI in Brief, Convolutional Neural Network (CNN), Neoplasms-Primary, Screening, Feasibility Studies, Radiographic Image Interpretation, Computer-Assisted, Female, Early Detection of Cancer/methods, Mammography

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39230423
https://portal.findresearcher.sdu.dk/da/publications/e5986a4a-69c8-4147-8e08-82fd4ac602b8
https://doi.org/10.1148/ryai.230529

Enhancing Radiologist Reading Performance by Ordering Screening Mammograms Based on Characteristics That Promote Visual Adaptation

Autoren: Jessie J. J. Gommers Sarah D. Verboom Katya M. Duvivier et al.

Quelle: Radiology, 313, 1, pp. e240237

Schlagwörter: Breast Neoplasms/diagnostic imaging, Mammography/methods, Breast Neoplasms, Middle Aged, Sensitivity and Specificity, Breast Density/physiology, Medical Imaging - Radboud University Medical Center, Radiologists, IQ health - Radboud University Medical Center, Humans, Female, Clinical Competence, Early Detection of Cancer/methods, Early Detection of Cancer, Mammography, Retrospective Studies, Breast Density

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39377678
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/311195
https://doi.org/10.1148/radiol.240237
https://pure.amsterdamumc.nl/en/publications/c3b380f4-456c-4ea8-b7d1-39e3c622b1e0
https://doi.org/10.1148/radiol.240237
https://repository.ubn.ru.nl//bitstream/handle/2066/311195/311195.pdf
https://hdl.handle.net/2066/311195

Third International Consensus Conference on lesions of uncertain malignant potential in the breast (B3 lesions)

Autoren: Elfgen, Constanze Leo, Cornelia Kubik-Huch, Rahel A et al.

Weitere Verfasser: Elfgen, Constanze Leo, Cornelia Kubik-Huch, Rahel A et al.

Quelle: Virchows Arch
Virchows Archiv, 483, 1, pp. 5-20

Schlagwörter: Consensus, Precancerous Conditions / diagnosis, Breast Neoplasms / diagnosis, Radboud University Medical Center, Breast Neoplasms, 616.07, Phyllodes tumor, Review and Perspectives, Vacuum-assisted biopsy, B3 lesion, Uncertain malignant potential, ADH, LN, FEA, Radial Scar, Papilloma, Core-needle biopsy, Vacuum-assisted excision, Breast surgery, Carcinoma, Intraductal, Noninfiltrating / pathology, Pathology and Forensic Medicine, Phyllodes Tumor, Mammography / methods, Humans, Breast, Molecular Biology, Retrospective Studies, Cell Biology, Breast / pathology, ddc, Phyllodes Tumor / pathology, 3. Good health, Radboudumc 17: Women's cancers Medical Imaging, Carcinoma, Intraductal, Noninfiltrating, Precancerous Conditions / pathology, Breast Neoplasms / pathology, Female, Biopsy, Large-Core Needle, Precancerous Conditions, Mammography

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37330436
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/294873
https://dspace.library.uu.nl/handle/1874/449558
https://repository.ubn.ru.nl//bitstream/handle/2066/294873/294873.pdf
https://hdl.handle.net/2066/294873
https://archive-ouverte.unige.ch/unige:170610
https://doi.org/10.1007/s00428-023-03566-x
https://mediatum.ub.tum.de/1761321

US, Mammography, and Histopathologic Evaluation to Identify Low Nuclear Grade Ductal Carcinoma in Situ

Autoren: Si Eun Lee Ga Ram Kim Kyunghwa Han et al.

Weitere Verfasser: Si Eun Lee Ga Ram Kim Kyunghwa Han et al.

Quelle: Radiology. 303:276-284

Schlagwörter: Male, Carcinoma, Intraductal, Calcinosis, Noninfiltrating* / pathology, Middle Aged, Calcinosis* / diagnostic imaging, 3. Good health, 03 medical and health sciences, Carcinoma, Intraductal, Noninfiltrating, 0302 clinical medicine, ROC Curve, Mammography / methods, Humans, Female, Mammography, Retrospective Studies

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35166586

Real-Time Ultrasound Detection of Breast Microcalcifications Using Multifocus Twinkling Artifact Imaging

Autoren: Jinbum Kang Kanghee Han Ilseob Song et al.

Weitere Verfasser: Jinbum Kang Kanghee Han Ilseob Song et al.

Quelle: IEEE Transactions on Medical Imaging. 41:1300-1308

Schlagwörter: 0301 basic medicine, Breast Diseases, 0303 health sciences, 03 medical and health sciences, Mammography / methods, Calcinosis, Humans, Calcinosis* / diagnostic imaging, Artifacts, Mammography, Ultrasonography

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/34928792

Depiction of breast cancers on digital mammograms by artificial intelligence-based computer-assisted diagnosis according to cancer characteristics

Autoren: Si Eun Lee Kyunghwa Han Jung Hyun Yoon et al.

Weitere Verfasser: Si Eun Lee Kyunghwa Han Jung Hyun Yoon et al.

Quelle: European Radiology. 32:7400-7408

Schlagwörter: Digital mammography, Calcinosis, Breast Neoplasms, Sensitivity and Specificity, 3. Good health, Breast Neoplasms* / diagnostic imaging, Breast Neoplasms* / pathology, 03 medical and health sciences, Computer-Assisted, 0302 clinical medicine, Artificial Intelligence, Diagnosis, Mammography / methods, Humans, Female, Diagnosis, Computer-Assisted, Breast neoplasms, Retrospective Studies, Mammography

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35499564

Evaluation of reader performance during interpretation of breast cancer screening: the Recall and detection Of breast Cancer in Screening (ROCS) trial study design: the Recall and detection Of breast Cancer in Screening (ROCS) trial study design

Autoren: Ioannis Sechopoulos Craig K. Abbey Daniëlle van der Waal et al.

Weitere Verfasser: Ioannis Sechopoulos Craig K. Abbey Daniëlle van der Waal et al.

Quelle: Eur Radiol
European Radiology, 32, 11, pp. 7463-7469

Schlagwörter: Breast Neoplasms/pathology, Mammography/methods, Radboudumc 17: Women's cancers RIHS: Radboud Institute for Health Sciences, UT-Hybrid-D, Breast Neoplasms, Task performance and analysis, 3. Good health, Cancer screening, 03 medical and health sciences, Breast cancer, 0302 clinical medicine, Mass Screening/methods, SDG 3 - Good Health and Well-being, Radiology Nuclear Medicine and imaging, Artificial Intelligence, Medical Imaging - Radboud University Medical Center, Journal Article, Humans, Mass Screening, Female, Breast, Early Detection of Cancer/methods, ROC analysis, Early Detection of Cancer, Mammography

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35482123
https://research.utwente.nl/en/publications/8f297d29-9836-4331-a459-cab05a275732
https://doi.org/10.1007/s00330-022-08820-5
https://dspace.library.uu.nl/handle/1874/447601
https://repository.ubn.ru.nl//bitstream/handle/2066/287823/287823.pdf
https://hdl.handle.net/2066/287823

Cancer yield and imaging features of probably benign calcifications at digital magnification view

Autoren: Minah Lee Si Eun Lee Hye Rim Kim et al.

Weitere Verfasser: Minah Lee Si Eun Lee Hye Rim Kim et al.

Quelle: European Radiology. 32:4909-4918

Schlagwörter: Risk, Calcinosis* / pathology, Breast neoplasm, Calcinosis, Breast Neoplasms, Calcinosis* / diagnostic imaging, 3. Good health, Breast Neoplasms* / diagnostic imaging, Breast Neoplasms* / pathology, 03 medical and health sciences, 0302 clinical medicine, Mammography / methods, Humans, Female, Radiographic magnification, Mammography, Retrospective Studies

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35226155

Clinical guidelines for radiological diagnosis and monitoring of patients with breast cancer

Autoren: Maja Prutki Marko Petrovečki Petra Valković Zujić et al.

Quelle: Liječnički vjesnik, Vol 144, Iss 1-2, Pp 1-14 (2022)

Schlagwörter: mammary – methods, magnetic resonance imaging – methods, radiography, 03 medical and health sciences, Medicine (General), 0302 clinical medicine, breast neoplasms – diagnostic imaging, R5-920, pathology, breast – diagnostic imaging, mammography – methods, ultrasonography, 3. Good health

Zugangs-URL: https://doaj.org/article/bdd77057993e4a87ad24a0bb8b6da5ae

Mammographic Density Assessment by Artificial Intelligence-Based Computer-Assisted Diagnosis: A Comparison with Automated Volumetric Assessment

Autoren: Si Eun Lee Nak-Hoon Son Myung Hyun Kim et al.

Weitere Verfasser: Si Eun Lee Nak-Hoon Son Myung Hyun Kim et al.

Quelle: Journal of Digital Imaging. 35:173-179

Schlagwörter: Digital mammography, Computers, Breast Neoplasms, 3. Good health, Breast Neoplasms* / diagnostic imaging, 03 medical and health sciences, 0302 clinical medicine, Breast Density, Artificial Intelligence, Mammography / methods, Diagnosis, Breast density, Humans, Computer-assisted, Female, Mammography, Retrospective Studies

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35015180

Mammographic Surveillance After Breast-Conserving Therapy: Impact of Digital Breast Tomosynthesis and Artificial Intelligence–Based Computer-Aided Detection

Autoren: Ga Ram Kim Eun Kyung Kim Hee Jung Moon et al.

Weitere Verfasser: Ga Ram Kim Eun Kyung Kim Hee Jung Moon et al.

Quelle: American Journal of Roentgenology. 218:42-51

Schlagwörter: Breast Neoplasms / surgery, Adult, mammography, Computer-Assisted / methods, digital breast tomosynthesis, Breast Neoplasms, Mastectomy, Segmental, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Artificial Intelligence, 80 and over, Local / diagnostic imaging, Humans, Breast, Mastectomy, breast, Aged, Retrospective Studies, Aged, 80 and over, Radiographic Image Interpretation, Middle Aged, artificial intelligence, 3. Good health, Neoplasm Recurrence, Breast / surgery, Mammography / methods, surveillance, Radiographic Image Interpretation, Computer-Assisted, Female, Neoplasm Recurrence, Local, Breast / diagnostic imaging, Segmental, Breast Neoplasms / diagnostic imaging, Mammography

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/34378399
http://www.ajronline.org/doi/10.2214/AJR.21.26506
https://pubmed.ncbi.nlm.nih.gov/34378399/
https://www.ajronline.org/doi/pdf/10.2214/AJR.21.26506
https://www.ajronline.org/doi/full/10.2214/AJR.21.26506