Accuracy of Quantitative Chemical‐Exchange‐Saturation‐Transfer Imaging for Grading Prostate Cancer and Predicting Adverse Pathology

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Authors: Huan Chang, Zhechuan Dai, Hao Cheng, Hongyue Ji, Jiajia Liu, Ming Liu, Yaoguang Zhang, Huimin Hou, Miao Wang, Min Chen, Yi Zhang, Chunmei Li
Cited by: 1
References: 42

Abstract

BACKGROUND: Preoperative quantitative chemical-exchange-saturation-transfer (CEST) imaging may help prostate cancer (PCa) grading and adverse pathological prediction, including positive surgical margin (PSM), perineural invasion (PNI), and extracapsular extension (EPE), which are important for clinical decision-making. PURPOSE: To assess quantitative CEST imaging in grading PCa and predicting PSM, PNI, and EPE. STUDY TYPE: Prospective. POPULATION: Seventy-four male participants (74 ± 5 years) with 77 surgically diagnosed lesions. FIELD STRENGTH/SEQUENCE: 3.0 T; turbo spin echo (TSE) T1-/T2-weighted imaging, echo-planar diffusion-weighted imaging, and frequency-stabilized TSE CEST imaging. ASSESSMENT: The nuclear-Overhauser-effect (NOE) and amide-proton-transfer (APT) signals were derived using four-pool Lorentzian fit. PCa was classified into low (Gleason score [GS] ≤ 3 + 4) and high (GS ≥ 4 + 3) grades according to radical prostatectomy pathology. Quantitative CEST signals and apparent diffusion coefficient (ADC) were assessed according to PCa grade and PSM/PNI/EPE status. The diagnostic performance was evaluated for individual imaging metrics and combined models incorporating significant imaging and clinical variables. STATISTICAL TESTS: Continuous variables were compared using the t-test or Mann-Whitney U-test. Diagnostic performance was evaluated by area under the receiver operating characteristic curve (AUC) and compared using the DeLong test. Ten-fold cross-validation was performed. p < 0.05 was significant. RESULTS: ]_APT: 0.044 ± 0.012 vs. 0.062 ± 0.018; AUC = 0.808) and PNI-positive lesions (CESTR_APT: 0.026 ± 0.007 vs. 0.030 ± 0.011; AUC = 0.669), while ADC showed limited performance (p = 0.329 for PSM, p = 0.373 for PNI). DATA CONCLUSION: NOE signals improved PCa grading, and APT signals were associated with adverse pathological features, with relatively better diagnostic performance for PSM. EVIDENCE LEVEL: 2. TECHNICAL EFFICACY: Stage 2.

Fields of Study & Subjects

Lanthanide and Transition Metal Complexes MRI in cancer diagnosis Advanced MRI Techniques and Applications

Publication details

Journal / source
Journal of Magnetic Resonance Imaging
Publisher
Wiley
Publication date
26 August 2026
Language
EN