MR Spectroscopy in Prostate Cancer: New Algorithms to Optimize Metabolite Quantification

• Published in: PloS one Vol. 11; no. 11; p. e0165730
• Main Authors: Bellomo, Giovanni, Marcocci, Francesco, Bianchini, David, Mezzenga, Emilio, D’Errico, Vincenzo, Menghi, Enrico, Zannoli, Romano, Sarnelli, Anna
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 10.11.2016; Public Library of Science (PLoS)
• Subjects: Algorithms; Biology and Life Sciences; Brain; Cancer; Choline; Choline - analysis; Citric acid; Citric Acid - analysis; Computer and Information Sciences; Computer programs; Computer simulation; Coupling; Creatine; Creatine - analysis; Developed countries; Engineering and Technology; Health aspects; Humans; In vivo methods and tests; Ingenia; Liver; Liver cancer; Magnetic resonance; Magnetic resonance imaging; Magnetic resonance spectroscopy; Magnetic Resonance Spectroscopy - instrumentation; Magnetic Resonance Spectroscopy - methods; Male; Medicine and Health Sciences; Metabolites; Neuroimaging; NMR; Nuclear magnetic resonance; Nuclear magnetic resonance spectroscopy; Optimization; Phantoms, Imaging; Physical Sciences; Polyamines; Prostate - chemistry; Prostate - pathology; Prostate cancer; Prostatic Neoplasms - chemistry; Prostatic Neoplasms - pathology; Proton magnetic resonance; Proton Magnetic Resonance Spectroscopy; Research and Analysis Methods; Resonance; Signal to noise ratio; Software; Spectral analysis; Spectroscopy; Spectrum analysis

Prostate cancer (PCa) is the most common non-cutaneous cancer in male subjects and the second leading cause of cancer-related death in developed countries. The necessity of a non-invasive technique for the diagnosis of PCa in early stage has grown through years. Proton magnetic resonance spectroscop...