[HTML][HTML] Radiomics in prostate cancer imaging for a personalized treatment approach-current aspects of methodology and a systematic review on validated studies

SKB Spohn, AS Bettermann, F Bamberg… - Theranostics, 2021 - ncbi.nlm.nih.gov
Prostate cancer (PCa) is one of the most frequently diagnosed malignancies of men in the
world. Due to a variety of treatment options in different risk groups, proper diagnostic and …

Clinical application of AI-based PET images in oncological patients

J Dai, H Wang, Y Xu, X Chen, R Tian - Seminars in Cancer Biology, 2023 - Elsevier
Based on the advantages of revealing the functional status and molecular expression of
tumor cells, positron emission tomography (PET) imaging has been performed in numerous …

[HTML][HTML] Analytical performance of aPROMISE: automated anatomic contextualization, detection, and quantification of [18F]DCFPyL (PSMA) imaging for standardized …

K Johnsson, J Brynolfsson, H Sahlstedt… - European Journal of …, 2022 - Springer
Purpose The application of automated image analyses could improve and facilitate
standardization and consistency of quantification in [18F] DCFPyL (PSMA) PET/CT scans. In …

Toward high-throughput artificial intelligence-based segmentation in oncological PET imaging

F Yousefirizi, AK Jha, J Brosch-Lenz, B Saboury… - PET clinics, 2021 - pet.theclinics.com
An array of artificial intelligence (AI) techniques in the field of medical imaging has emerged
in the past decade for automated image segmentation. 1 Medical image segmentation seeks …

[HTML][HTML] Application of Artificial Intelligence in Oncologic Molecular PET-Imaging: A Narrative Review on Beyond [18F] F-FDG Tracers-Part I. PSMA, Choline, and …

SA Mirshahvalad, R Eisazadeh… - Seminars in Nuclear …, 2023 - Elsevier
Artificial intelligence (AI) has evolved significantly in the past few decades. This thriving
trend has also been seen in medicine in recent years, particularly in the field of imaging …

[HTML][HTML] Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss

Y Xu, I Klyuzhin, S Harsini, A Ortiz, S Zhang… - Computers in Biology …, 2023 - Elsevier
Purpose Automatic and accurate segmentation of lesions in images of metastatic castration-
resistant prostate cancer has the potential to enable personalized radiopharmaceutical …

[HTML][HTML] Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians

E Trägårdh, O Enqvist, J Ulén, E Hvittfeldt… - European Journal of …, 2022 - Springer
Purpose The aim of this study was to develop and validate an artificial intelligence (AI)-
based method using convolutional neural networks (CNNs) for the detection of pelvic lymph …

[HTML][HTML] Investigation and benchmarking of U-Nets on prostate segmentation tasks

S Bhandary, D Kuhn, Z Babaiee, T Fechter… - … Medical Imaging and …, 2023 - Elsevier
In healthcare, a growing number of physicians and support staff are striving to facilitate
personalised radiotherapy regimens for patients with prostate cancer. This is because …

[HTML][HTML] A convolutional neural network for total tumor segmentation in [64Cu]Cu-DOTATATE PET/CT of patients with neuroendocrine neoplasms

EA Carlsen, K Lindholm, A Hindsholm, M Gæde… - EJNMMI research, 2022 - Springer
Background Segmentation of neuroendocrine neoplasms (NENs) in [64Cu] Cu-DOTATATE
positron emission tomography makes it possible to extract quantitative measures useable for …

[HTML][HTML] PSMA-PET/MRI-based focal dose escalation in patients with primary prostate Cancer treated with stereotactic body radiation therapy (HypoFocal-SBRT) …

C Zamboglou, SKB Spohn, S Adebahr, M Huber… - Cancers, 2021 - mdpi.com
Simple Summary Prostate cancer (PCa) is the most diagnosed malignancy of men
worldwide, and radiotherapy (RT) is a main treatment option for patients in all disease …