Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Radiomics for the Prediction of Postoperative Chronic Kidney Disease in Renal Tumor Patients undergoing Surgical Resection
0
Zitationen
9
Autoren
2026
Jahr
Abstract
Preoperative CT-based radiomic features in combination with clinical information can serve as a non-invasive predictor of postoperative CKD in renal tumor patients undergoing surgical resection. While prospective and external validation is needed, this approach facilitated clinical decision-making and enables personalized treatment strategies in patients with renal tumors.
Ähnliche Arbeiten
New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
2008 · 29.016 Zit.
TNM Classification of Malignant Tumours
1987 · 16.123 Zit.
A survey on deep learning in medical image analysis
2017 · 13.728 Zit.
Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
2011 · 10.820 Zit.
The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM
2010 · 9.121 Zit.