2022
DOI: 10.1053/j.semnuclmed.2021.11.013
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Recent Advancements in CT and MR Imaging of Prostate Cancer

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Cited by 12 publications
(9 citation statements)
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“…Its utility in diagnosing prostate cancer has mostly been examined for its capacity to identify lymph node metastases, with mixed findings. Nevertheless, its application in high-risk prostate cancer has shown a noticeably enhanced specificity and sensitivity, indicating that it may be helpful in these circumstances for the identification of nodal metastases ( 111 ). It is uncertain, that whether choline PET-CT will play a part in the future of prostate cancer diagnostics given the advancements in 68Gallium (68Ga) labelled prostate specific membrane antigen PET-CT.…”
Section: Diagnostics For Prostate Cancermentioning
confidence: 99%
“…Its utility in diagnosing prostate cancer has mostly been examined for its capacity to identify lymph node metastases, with mixed findings. Nevertheless, its application in high-risk prostate cancer has shown a noticeably enhanced specificity and sensitivity, indicating that it may be helpful in these circumstances for the identification of nodal metastases ( 111 ). It is uncertain, that whether choline PET-CT will play a part in the future of prostate cancer diagnostics given the advancements in 68Gallium (68Ga) labelled prostate specific membrane antigen PET-CT.…”
Section: Diagnostics For Prostate Cancermentioning
confidence: 99%
“…Future studies should employ additional imaging techniques to assess LNI. For example, dual-energy computed tomography may improve tissue characterization and the detection of subtle changes in lymph nodes [50].…”
Section: Discussionmentioning
confidence: 99%
“…But these devices are generally expensive and hard to be integrated into a surgery. [8][9][10] Modern medical diagnoses still rely heavily on biopsy to acquire molecular-level information, but its promotion is limited to facility availability, cost, and time. Artificial Intelligence (AI) technique shows great potential to achieve tissue recognition from medical imaging when given basic anatomic information.…”
Section: Introductionmentioning
confidence: 99%