2025
conference-abstract
OpenAlex
Jasmeet Dhaliwal, Sthuthi David, Cesar Puente, M Nandakumar et autres
Background: Positron emission tomography (PET) combined with computed tomography (CT) is a valuable strategy for myocardial perfusion imaging (MPI) in ischemic heart disease evaluation. CT attenuation correction (CTAC) enhances the diagnostic performance of PET and provides further characterization of the coronary vasculature. …
us
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2025
article
OpenAlex
Sara Ebrahimi, Gholam Reza Berenji, M. Rettig, Nicholas George Nickols
Accès ouvert
2025
article
OpenAlex
John N. Nikitas, Matthew B. Rettig, Robert Evan Reiter, Alan Lee et autres
us
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Accès ouvert
2025
conference-abstract
OpenAlex
Ida Sonni, Nicholas George Nickols, Katelyn Niknam, Gholam Reza Berenji et autres
344 Background: PSMA PET imaging is a highly sensitive and specific imaging tool for detecting prostate cancer, especially in biochemical recurrence (BCR). This has led to growing interest in utilizing PSMA PET for patients with minimally detectable PSA levels following definitive treatment …
us, se
(code pays fourni par la source)
2025
conference-abstract
OpenAlex
John N. Nikitas, Matthew B. Rettig, Robert Evan Reiter, Alan Lee et autres
64 Background: Therapeutic strategies for oligometastatic castration sensitive prostate cancer (omCSPC) combining treatment of the primary and metastases with short-term intensified systemic therapy aim to improve survival and local control while minimizing toxicity from indefinite systemic therapy. This post-hoc analysis of the …
us
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Accès ouvert
2024
article
OpenAlex
Cecil Mayra Benitez, Hannicka Sahlstedt, Ida Sonni, Johan Brynolfsson et autres
BACKGROUND AND OBJECTIVE: Prostate-specific membrane antigen (PSMA) molecular imaging is widely used for disease assessment in prostate cancer (PC). Artificial intelligence (AI) platforms such as automated Prostate Cancer Molecular Imaging Standardized Evaluation (aPROMISE) identify and quantify locoregional and distant disease, thereby expediting …
us
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2024
article
OpenAlex
Jesus Eduardo Juarez, Cecil Mayra Benitez, Kamil Rzechowski, Karl Sjöstrand et autres
Accès ouvert
2024
article
OpenAlex
Gholam Reza Berenji, Cesar Puente, Katelyn Niknam, Richard Packard
Abstract Introduction New state-of-art hybrid imaging systems provide high quality CT images along with myocardial perfusion imaging (MPI), which introduces new opportunities and challenges for interpreting and referring physicians. American and European societies recommend reporting these CT scans including non MPI related …
us
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Accès ouvert
2024
article
OpenAlex
Nicholas George Nickols, Sonny Tsai, Nathanael Kane, Samantha Tran et autres
us
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Accès ouvert
2024
conference-abstract
OpenAlex
Nicholas George Nickols, Sonny Tsai, Nathanael Kane, Silvia V. Diaz-Perez et autres
163 Background: Treatment paradigms for oligometastatic castration-sensitive prostate cancer patients are evolving. Molecular imaging improves staging, intensified systemic and primary tumor directed therapy improves survival, metastasis-directed therapy improves local control. The impact of combining these imaging and therapeutic approaches into a planned …
us
(code pays fourni par la source)
Accès ouvert
2024
conference-abstract
OpenAlex
Cecil Mayra Benitez, Hannicka Sahlstedt, Johan Brynolfsson, Gholam Reza Berenji et autres
48 Background: PSMA PETs can track treatment response in patients with prostate cancer. Recent integration of the RECIP framework with PROMISE v2 allows quantitative assessment of PSMA PETs. While useful for assessing differentially responding lesions, manual measurement and tracking is cumbersome and …
us
(code pays fourni par la source)
2024
conference-abstract
OpenAlex
Jesus Eduardo Juarez, Cecil Mayra Benitez, Kamil Rzechowski, Karl Sjöstrand et autres
46 Background: [F18]DCFPyL (PyL) is a PSMA targeted imaging agent that provides whole-body staging of prostate cancer. Image analysis of the primary tumor using deep learning algorithms might offer additional insight into disease biology, including co-existing metastatic disease. We developed convolutional neural …
us
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