Node Oligorecurrence in Prostate Cancer: A Challenge.
Almudena ZapateroAntonio José Conde MorenoMarta Barrado Los ArcosDiego AldavePublished in: Cancers (2023)
Within the oligometastatic state, oligorecurrent lymph node disease in prostate cancer represents an interesting clinical entity characterized by a relatively indolent biology that makes it unique: it can be treated radically, and its treatment is usually associated with a long period of control and excellent survival. Additionally, it is an emergent situation that we are facing more frequently mainly due to (a) the incorporation into clinical practice of the PSMA-PET that provides strikingly increased superior images in comparison to conventional imaging, with higher sensitivity and specificity; (b) the higher detection rates of bone and node disease with extremely low levels of PSA; and (c) the availability of high-precision technology in radiotherapy treatments with the incorporation of stereotaxic body radiotherapy (SBRT) or stereotaxic ablative radiotherapy (SABR) technology that allows the safe administration of high doses of radiation in a very limited number of fractions with low toxicity and excellent tolerance. This approach of new image-guided patient management is compelling for doctors and patients since it can potentially contribute to improving the clinical outcome. In this work, we discuss the available evidence, areas of debate, and potential future directions concerning the utilization of new imaging-guided SBRT for the treatment of nodal recurrence in prostate cancer.
Keyphrases
- prostate cancer
- lymph node
- radical prostatectomy
- radiation therapy
- early stage
- locally advanced
- high resolution
- radiation induced
- clinical practice
- end stage renal disease
- pet ct
- neoadjuvant chemotherapy
- newly diagnosed
- ejection fraction
- prognostic factors
- deep learning
- oxidative stress
- chronic kidney disease
- convolutional neural network
- peritoneal dialysis
- free survival
- pet imaging
- patient reported outcomes
- bone mineral density
- body composition
- machine learning
- postmenopausal women
- mass spectrometry
- climate change
- photodynamic therapy
- clinical evaluation