1.

Record Nr.

UNINA9910620200803321

Titolo

Artificial Intelligence in PET/CT Oncologic Imaging / / edited by John A. Andreou, Paris A. Kosmidis, Athanasios D. Gouliamos

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022

ISBN

3-031-10090-5

Edizione

[1st ed. 2022.]

Descrizione fisica

1 online resource (156 pages)

Collana

Medicine Series

Disciplina

610.285

616.99407575

Soggetti

Radiology

Nuclear medicine

Oncology

Computer science

Nuclear Medicine

Computer Science

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

1. Introduction : Artificial intelligence (AI) systems for Oncology -- 2. PET in Bone and Soft tissue tumors -- 3. (CNS) PET/CT: current AI applications -- 4. PET/CT findings in Head and Neck Cancer, current AI applications -- 5. PET/CT in Lung cancer, current AI applications -- 6. Breast cancer: PET/CT imaging, AI applications -- 7. PET/CT in Gynecologic cancer, current AI applications -- 8. PET/CT in Rectal cancer, current AI applications -- 9. PET/CT in Neuroendocrine tumors, current AI applications -- 10. PET/CT in the evaluation of Adrenal gland mass -- 11. PET/CT in Renal cancer -- 12. PET/CT in Testicular cancer -- 13. PET/CT in Prostate cancer -- 14. PET/CT in Malignant Lymphomas.

Sommario/riassunto

This book presents artificial intelligence applications that may help in detecting disease, defining tissue characterization (benign vs malignant), staging and correlation with molecular biomarkers. Originally positioned as a means for noninvasive molecular phenotyping and quantification in the 1970s, PET's technological



improvements in the 2000s generated renewed interest in quantification, which has grown over the last five years. This progress is parallel with the development of Artificial intelligence (AI) systems for Oncology which aim at providing the best possible treatment to patients suffering from lung, breast, brain, prostate, liver and other types of cancer. The chapters provide an overview of the use of AI in PET/CT imaging for various types of cancer, and it will be an invaluable tool especially for nuclear medicine physicians and oncologists.