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1.
NMR Biomed ; 32(2): e4048, 2019 02.
Artículo en Inglés | MEDLINE | ID: mdl-30575145

RESUMEN

Luminal water imaging (LWI) is a new MRI T2 mapping technique that has been developed with the aim of diagnosis of prostate carcinoma (PCa). This technique measures the fractional amount of luminal water in prostate tissue, and has shown promising preliminary results in detection of PCa. To include LWI in clinical settings, further investigation on the accuracy of this technique is required. In this study, we compare the diagnostic accuracy of LWI with those of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI in detection and grading of PCa. Fifteen patients with biopsy-proven PCa consented to participate in this ethics-board-approved prospective study. Patients were examined with LWI, DWI, and DCE sequences at 3 T prior to radical prostatectomy. Maps of MRI parameters were generated and registered to whole-mount histology. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic accuracy of individual and combined MR parameters. Correlation with Gleason score (GS) was evaluated using Spearman's rank correlation test. The results show that area under the ROC curve (AUC) obtained from LWI was equal to or higher than the AUC obtained from DWI, DCE, or their combination, in peripheral zone (0.98 versus 0.90, 0.89, and 0.91 respectively), transition zone (0.99 versus 0.98, n/a, and 0.98), and the entire prostate (0.85 versus 0.81, 0.75, and 0.84). The strongest correlation with GS was achieved from LWI (ρ = -0.81 ± 0.09, P < 0.001). Results of this pilot study show that LWI performs equally well as, or better than, DWI and DCE in detection of PCa. LWI provides significantly higher correlation with GS than DWI and DCE. This technique can potentially be included in clinical MRI protocols to improve characterization of tumors. However, considering the small size of the patient population in this study, a further study with a larger cohort of patients and broader range of GS is required to confirm the findings and draw a firm conclusion on the applicability of LWI in clinical settings.


Asunto(s)
Medios de Contraste/química , Imagen de Difusión por Resonancia Magnética , Imagen por Resonancia Magnética , Neoplasias de la Próstata/diagnóstico por imagen , Agua/química , Anciano , Anciano de 80 o más Años , Humanos , Masculino , Persona de Mediana Edad , Clasificación del Tumor , Neoplasias de la Próstata/patología , Curva ROC
2.
Radiology ; 284(2): 451-459, 2017 08.
Artículo en Inglés | MEDLINE | ID: mdl-28394754

RESUMEN

Purpose To assess the feasibility of luminal water imaging, a quantitative T2-based magnetic resonance (MR) imaging technique, for the detection and grading of prostate cancer (PCa). Materials and Methods Eighteen patients with biopsy-proven PCa provided informed consent to be included in this institutional human ethics board-approved prospective study between January 2015 and January 2016. Patients underwent 3.0-T MR imaging shortly before radical prostatectomy. T2 distributions were generated with a regularized non-negative least squares algorithm from multiecho spin-echo MR imaging data. From T2 distributions, maps of seven MR parameters, Ncomp, T2short, T2long, geometric mean T2 (gmT2), luminal water fraction (LWF), Ashort, and Along, were generated and compared with digitized images of hematoxylin-eosin-stained whole-mount histologic slices. A paired t test was used to determine significant differences between MR parameters in malignant and nonmalignant tissue. Correlation with Gleason score (GS) was evaluated with the Spearman rank correlation test. Diagnostic accuracy was evaluated by using logistic generalized linear mixed-effect models and receiver operating characteristic (ROC) analysis. Results The average values of four MR parameters (gmT2, Ashort, Along, and LWF) were significantly different between malignant and nonmalignant tissue. All MR parameters except for T2long showed significant correlation (P < .05) with GS in the peripheral zone. The highest correlation with GS was obtained for LWF (-0.78 ± 0.11, P < .001). ROC analysis demonstrated high accuracy for tumor detection, with the highest area under the ROC curve obtained for LWF (0.97 in the peripheral zone and 0.98 in the transition zone). Conclusion Results of this pilot study demonstrated the feasibility of luminal water imaging in the detection and grading of PCa. A study with a larger cohort of patients and a broader range of GS is required to further evaluate this new technique in clinical settings. © RSNA, 2017.


Asunto(s)
Adenocarcinoma/diagnóstico por imagen , Imagen por Resonancia Magnética/métodos , Neoplasias de la Próstata/diagnóstico por imagen , Adenocarcinoma/patología , Anciano , Anciano de 80 o más Años , Agua Corporal , Humanos , Aumento de la Imagen/métodos , Interpretación de Imagen Asistida por Computador/métodos , Masculino , Persona de Mediana Edad , Estadificación de Neoplasias , Estudios Prospectivos , Antígeno Prostático Específico/sangre , Prostatectomía , Neoplasias de la Próstata/patología , Neoplasias de la Próstata/cirugía
3.
J Magn Reson Imaging ; 46(3): 861-869, 2017 09.
Artículo en Inglés | MEDLINE | ID: mdl-28130866

RESUMEN

PURPOSE: To determine the relationship between parameters measured from luminal water imaging (LWI), a new magnetic resonance imaging (MRI) T2 mapping technique, and the corresponding tissue composition in prostate. MATERIALS AND METHODS: In all, 17 patients with prostate cancer were examined with a 3D multiecho spin echo sequence at 3T prior to undergoing radical prostatectomy. Maps of seven MR parameters, called N, T2-short , T2-long , Ashort , Along , geometric mean T2 time (gmT2 ), and luminal water fraction (LWF), were generated using nonnegative least squares (NNLS) analysis of the T2 decay curves. MR parametric maps were correlated to digitized whole-mount histology sections. Percentage area of tissue components, including luminal space, nuclei, and cytoplasm plus stroma, was measured on the histology sections by using color-based image segmentation. Spearman's rank correlation test was used to evaluate the correlation between MR parameters and the corresponding tissue components, with particular attention paid to the correlation between LWF and percentage area of luminal space. RESULTS: N, T2-short , Along , gmT2 , and LWF showed significant correlation (P < 0.05) with percentage area of luminal space and stroma plus cytoplasm. T2-short and gmT2 also showed significant correlation (P < 0.05) with percentage area of nuclei. Overall, the strongest correlation was observed between LWF and luminal space (Spearman's coefficient of rank correlation = 0.75, P < 0.001). CONCLUSION: Results of this study show that LWF measured with MRI is strongly correlated with the fractional amount of luminal space in prostatic tissue. This result suggests that LWI can potentially be applied for evaluation of prostatic diseases in which the extent of luminal space differs between normal and abnormal tissues. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:861-869.


Asunto(s)
Agua Corporal/diagnóstico por imagen , Procesamiento de Imagen Asistido por Computador/métodos , Imagen por Resonancia Magnética/métodos , Próstata/diagnóstico por imagen , Neoplasias de la Próstata/diagnóstico por imagen , Anciano , Anciano de 80 o más Años , Humanos , Masculino , Persona de Mediana Edad
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