The overlooked biochemical pathway: how insulin resistance (HOMA-IR) modulates "metabolic masking" of prostate-specific antigen separately from body mass index. [PDF]
Eren MT, Özveri H.
europepmc +1 more source
ABSTRACT Background Prostate Imaging Reporting and Data System (PI‐RADS) 3 lesions often undergo biopsy despite a low positive predictive value (< 25%) for clinically significant prostate cancer (csPCa), defined as International Society of Urological Pathology (ISUP) Grade Group ≥ 2.
Tejinder Kaur +6 more
wiley +1 more source
Evolving role of biomarkers beyond prostate‑specific antigen in refining prostate cancer screening: From blood‑based tests to urinary and genetic markers (Review). [PDF]
Li L, Zhang L, Li Z, Chai K, Ren W.
europepmc +1 more source
Rectal spacers composed of stabilised hyaluronic acid facilitated a favourable toxicity profile compared to no spacing during prostate radiation therapy. Acute GI toxicity (grade ≥ 1) was lower in the spacer cohort (23.5% vs. 48.0%; odds ratio = 0.33, p = 0.05) with grade ≥ 2 toxicity substantially lower (2.9% vs. 20.0%).
Fadila Najem +7 more
wiley +1 more source
Fe<sub>3</sub>O<sub>4</sub>-Au cluster-satellite particles as direct colorimetric reporters in a smartphone-quantified lateral flow immunoassay for prostate-specific antigen. [PDF]
Marra D +8 more
europepmc +1 more source
Molecular theranostics: principles, challenges and controversies
Molecular theranostics offers a powerful tool to drive precision medicine in nuclear oncology. While theranostics is not a new principle in nuclear medicine, recent advances in instrumentation and radiopharmacy have driven a reinvigoration and a broader suite of applications.
Geoffrey Currie
wiley +1 more source
Prostatic Specific Antigen in Prostate Cancer
Juan Morote, Alvaro Ruibal
doaj +1 more source
From prostate specific antigen to genomic signatures: Advances in biomarkers for prostate cancer diagnosis and prognosis. [PDF]
Hamed NW +5 more
europepmc +1 more source
This study developed a two‐stage model using radiomics‐based multiparametric MRI and clinical indicators to help identify and grade clinically significant prostate cancer. The model showed promising levels of diagnostic accuracy and predictive performance.
Yuyan Zou +10 more
wiley +1 more source

