التفاصيل البيبلوغرافية
| العنوان: |
Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects |
| المؤلفون: |
Matteo Ferro, Gennaro Musi, Michele Marchioni, Martina Maggi, Alessandro Veccia, Francesco Del Giudice, Biagio Barone, Felice Crocetto, Francesco Lasorsa, Alessandro Antonelli, Luigi Schips, Riccardo Autorino, Gian Maria Busetto, Daniela Terracciano, Giuseppe Lucarelli, Octavian Sabin Tataru |
| المصدر: |
International Journal of Molecular Sciences; Volume 24; Issue 5; Pages: 4615 |
| بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
| سنة النشر: |
2023 |
| المجموعة: |
MDPI Open Access Publishing |
| مصطلحات موضوعية: |
renal cancer, radiomics, radiogenomics, genomics, artificial intelligence, machine learning |
| جغرافية الموضوع: |
agris |
| الوصف: |
Renal cancer management is challenging from diagnosis to treatment and follow-up. In cases of small renal masses and cystic lesions the differential diagnosis of benign or malignant tissues has potential pitfalls when imaging or even renal biopsy is applied. The recent artificial intelligence, imaging techniques, and genomics advancements have the ability to help clinicians set the stratification risk, treatment selection, follow-up strategy, and prognosis of the disease. The combination of radiomics features and genomics data has achieved good results but is currently limited by the retrospective design and the small number of patients included in clinical trials. The road ahead for radiogenomics is open to new, well-designed prospective studies, with large cohorts of patients required to validate previously obtained results and enter clinical practice. |
| نوع الوثيقة: |
text |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
Molecular Oncology; https://dx.doi.org/10.3390/ijms24054615Test |
| DOI: |
10.3390/ijms24054615 |
| الإتاحة: |
https://doi.org/10.3390/ijms24054615Test |
| حقوق: |
https://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: |
edsbas.572C06FF |
| قاعدة البيانات: |
BASE |
