Improved Value of Multiplexed Sensitivity Encoding DWI with Reversed Polarity Gradients in Diagnosing Prostate Cancer: A Comparison Study with Single-Shot DWI and MUSE DWI.

RATIONALE AND OBJECTIVES: This study aimed to investigate the value of multiplexed sensitivity encoding with reversed polarity gradients in improving the quality of diffusion-weighted imaging (DWI) images of the prostate and the diagnostic efficacy of prostate cancer. MATERIALS AND METHODS: Seventy-three patients with prostate disease underwent multiplexed sensitivity encoding with reversed polarity gradients (RPG-MUSE), multiplexed sensitivity encoding (MUSE), and single-shot echo-planar imaging (ssEPI) DWI. Three radiologists performed a qualitative image analysis of the three DWI sequences. Qualitative image analysis included artifact minimization, anatomical detail, and sharpness of prostate edges. Two radiologists measured the signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), geometric distortion rate, and the apparent diffusion coefficient (ADC) values of the prostate disease tissue. Two radiologists jointly performed Prostate Imaging Reporting and Data System scoring of prostate lesions and compared the diagnostic efficacy of the three DWI sequences for prostate cancer. RESULTS: There was good agreement among radiologists in the evaluation and measurement of the three DWI sequence images (intraclass correlation coefficient >0.75, P < 0.05). The RPG-MUSE DWI images were rated higher than those of MUSE and ssEPI in terms of artifact minimization, anatomical details, and sharpness of prostate edges (P < 0.05). The SNR and CNR of the RPG-MUSE DWI images were higher than those of MUSE and ssEPI (P < 0.05), and the geometric distortion rate was lower than that of the other two sequences (P < 0.05). There were no statistical differences in ADC values between the three DWI sequences (P > 0.05). The diagnostic efficacy of RPG-MUSE and MUSE DWI was higher than that of ssEPI (P < 0.017). CONCLUSION: RPG-MUSE can reduce the artifacts and geometric distortion in DWI images of the prostate, improve the SNR and CNR of the images, improve the clarity of anatomical details and boundaries without affecting the measurement of ADC values, has the potential to improve the diagnostic efficacy of prostate lesions, and facilitates the clear display and accurate assessment of prostate lesions.

Comparison of MUSE-DWI and conventional DWI in the application of invasive breast cancer and malignancy grade prediction: A comparative study.

Objective: To compare MUSE-DWI with conventional DWI in assessing lesions of invasive breast cancer and evaluating the ADC values for preoperative histological grading. Methods: A retrospective analysis was conducted on 63 lesions confirmed as invasive breast cancer by surgical or biopsy pathology. Preoperatively, all patients underwent MUSE-DWI, conventional DWI, and dynamic contrast-enhanced (DCE) scans. Two radiologists with over 5 years of experience (intermediate and senior levels, respectively) subjectively evaluated the images for clarity, image artifacts, and distortion. Objective evaluation included signal-to-noise ratio (SNR) of lesions and fibrous tissue, as well as the ADC values of both imaging techniques. Due to the limited number of cases classified as grade I and the insignificant difference in disease-specific survival and recurrence scores between grades I and II tumors, grades I and II were grouped as low-grade, while grade III was classified as high-grade. Receiver operating characteristic (ROC) curves were used to evaluate the efficacy of ADC values in preoperatively predicting the grading of invasive breast cancer. Results: The SNR and subjective quality scores of MUSE-DWI images were significantly higher than those of conventional DWI (p < 0.05). For the same case, the ADC values of MUSE-DWI were lower than those of conventional DWI. The AUC values for predicting the grading of invasive breast cancer were 0.849 for MUSE-DWI and 0.801 for conventional DWI. Conclusion: Compared to conventional DWI, MUSE-DWI significantly reduces artifacts and distortions, greatly improving image quality. Moreover, MUSE-DWI demonstrates higher diagnostic efficacy for preoperative histological grading of invasive breast cancer.

WHO grade I meningioma subtypes: MRI features and pathological analysis.

AIMS: WHO grade I meningiomas include several subtypes that differ in terms of surgical planning and prognosis. We aim to analyze the relationship between magnetic resonance imaging (MRI) features and pathological parameters for each WHO grade I meningioma subtype to improve diagnostic value. MATERIALS AND METHODS: Patients with WHO grade I meningiomas underwent pathology pathological examination and surgery at our hospital. MRI findings included signal intensity on T1WI and T2WI and, the enhancement degree in contrast-enhanced, and the degree of peritumoral edema in patients were reviewed. 1H-MRS was performed for the different meningioma subtypes. The correlation between MRI features and pathology was determined using a Kruskal-Wallis H test (P < 0.05). KEY FINDINGS: Angiomatous meningiomas mainly showed a low T1WI signal, a high T2WI signal, a high occurrence rate of peritumoral edema, mainly with moderate or severe peritumoral edema, and homogeneous enhancement. Meningothelial meningiomas mainly showed T1WI and T2WI iso-intense signals, mainly moderate or severe peritumoral edema, and moderate enhancement. Mixed, fibroblastic, and psammomatous meningiomas showed mixed signals, much overlap of the T1WI and T2WI signals, mainly mild or moderate peritumoral edema, and mild or moderate enhancement that could be inhomogeneous. A significant difference was noted in apparent diffusion coefficient (ADC) values and in some 1H-MRS indicators among different meningioma subtypes. SIGNIFICANCE: Angiomatous meningiomas were the most easily identified subtype, followed by meningothelial meningiomas. No obvious difference was observed among the mixed, fibroblastic, and psammomatous meningiomas, but differences were observed between angiomatous and meningothelial meningiomas.