15 results on '"Titone, Francesca"'
Search Results
2. Efficacy of stereotactic body radiotherapy and response prediction using artificial intelligence in oligometastatic gynaecologic cancer
3. Machine-learning prediction of treatment response to stereotactic body radiation therapy in oligometastatic gynecological cancer: A multi-institutional study
4. Efficacy and Safety of Stereotactic Body Radiation Therapy in Oligometastatic Uterine Cancer (MITO-RT2/RAD): A Large, Real-World Study in Collaboration With Italian Association of Radiation Oncology, Multicenter Italian Trials in Ovarian Cancer, and Mario Negri Gynecologic Oncology Group Groups
5. A case report of uterine leiomyosarcoma: unusual clinical presentation with unilateral hydronephrosis and importance of an appropriate diagnosis
6. Application of novel algorithm on a retrospective series to implement the molecular classification for endometrial cancer.
7. Is It Time to Reassess the Role of Radiotherapy Treatment in Ovarian Cancer?
8. Fiducial markers in adjuvant setting for a patient affected by endometrial cancer: a case report
9. 1934: Machine-learning prediction of treatment response to SBRT in oligometastatic gynecological cancer
10. 603: SBRT and artificial intelligence in oligometastatic GYN-cancers: a real-world study.
11. Prostate Cancer Treatment-Related Toxicity: Comparison between 3D-Conformal Radiation Therapy (3D-CRT) and Volumetric Modulated Arc Therapy (VMAT) Techniques
12. CUP-syndrome: Inguinal high grade serous ovarian carcinoma lymph node metastases with unknown primary origin – a case report and literature review
13. Human amniotic membrane for myocutaneous dehiscence after a radical surgical treatment of vulvar cancer: A case report
14. Management of Patients Diagnosed with Endometrial Cancer: Comparison of Guidelines.
15. Molecular biology as a driver in therapeutic choices for ovarian cancer.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.