The Role of Magnetic Resonance Spectroscopy Imaging Parameters to Predict Early Biochemical Recurrence after Radical Prostatectomy

Abstract

To evaluate the role of magnetic resonance spectroscopy imaging (MRSI) parameters to predict early biochemical recurrence (BCR) after radical prostatectomy (RP) in patients with non-metastatic prostate cancer (PCa). Between November 2010 and March 2012, 60 consecutive patients with clinically non-metastatic biopsy confirmed PCa underwent RP after MRSI assessment in a prospective study. Demographic, clinicopathological, magnetic resonance imaging (MRI) staging, MRSI parameters, and postoperative serum prostate-specific antigen were recorded. The univariate and multivariate Cox regression analyses were used to assess the association between potential prognosticators and early BCR (BCR less than 12 months after RP). In univariate Cox regression, preoperative serum PSA (prostate-specific antigen) (HR – hazard ratio = 1.016, p=0.003), surgical Gleason score > 7 (HR = 5.034, p=0.006) and MRSI risk score (HR = 4.061, p=0.0001); and in multivariate model, preoperative serum PSA (HR = 1.012; p=0.046), surgical GS > 7 (HR = 4.196; p=0.017) and MRSI risk score (HR = 3.256; p=0.013) were associated with early BCR. The greatest AUC (area under the curve) was related to MRSI risk score (AUC = 0.733) and the AUC of the multivariate model was 0.776. MRI/MRSI parameters specially MRSI risk score might be acceptable predictors of early BCR. These parameters can improve the accuracy of predictive nomograms to assess the risk of BCR after RP.

A Novel Score Combining Magnetic Resonance Spectroscopy Parameters and Systemic Immune-Inflammation Index Improves Prognosis Prediction in Non-Small Cell Lung Cancer Patients With Brain Metastases After Stereotactic Radiotherapy

“…Increasing evidence has indicated that MRS can identify tumor active regions and enhance more individualized response-based treatment in high-grade glioma ( 15 ). An ongoing effort at the Tehran University of Medical Sciences has shown that MRS parameters can improve the accuracy of predictive nomograms to assess the risk of biochemical recurrence after radical prostatectomy in prostate cancer ( 30 ). More comprehensive understanding of the biochemical composition changes in metabolites for tumors is urgently needed.…”

A Novel Score Combining Magnetic Resonance Spectroscopy Parameters and Systemic Immune-inflammation Index Improves Prognosis Prediction in Non-small-cell Lung Cancer With Brain Metastases

“…15 An ongoing effort at Tehran University of Medical Sciences has shown that MRS parameters can improve the accuracy of predictive nomograms to assess the risk of biochemical recurrence after radical prostatectomy in prostate cancer. 30 More comprehensive understanding the biochemical composition changes in metabolites for tumors is more urgent. The typical MRS metabolic abnormalities of BM often include increased cho, decreased NAA and cr.…”