Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer

Purpose To compare the performance of advanced radiomics analysis to morphological assessment by expert radiologists to predict a good or complete response to chemoradiotherapy in rectal cancer using baseline staging MRI. Materials and methods We retrospectively assessed the primary staging MRIs [pr...

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Veröffentlicht in:	Abdominal imaging 2020-03, Vol.45 (3), p.632-643
Hauptverfasser:	van Griethuysen, Joost J. M., Lambregts, Doenja M. J., Trebeschi, Stefano, Lahaye, Max J., Bakers, Frans C. H., Vliegen, Roy F. A., Beets, Geerard L., Aerts, Hugo J. W. L., Beets-Tan, Regina G. H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Aged, 80 and over Algorithms Cancer Chemoradiotherapy Chemotherapy Colorectal cancer Diagnostic systems Diffusion Magnetic Resonance Imaging - methods Feature extraction Female Gastroenterology Hepatology Humans Image Interpretation, Computer-Assisted Image processing Image segmentation Imaging Magnetic resonance imaging Male Medicine Medicine & Public Health Middle Aged Neoadjuvant Therapy Neoplasm Staging Pelvis Performance prediction Radiation therapy Radiology Radiomics Rectal Neoplasms - diagnostic imaging Rectal Neoplasms - pathology Rectal Neoplasms - therapy Rectum Redundancy Regression analysis Regression models Retrospective Studies Tumor Burden Workflow
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