Value of diffusion-weighted imaging in diagnosis of lymph node metastasis in patients with cervical cancer / 中国医学科学院学报
Zhongguo yi xue ke xue yuan xue bao
; Zhongguo yi xue ke xue yuan xue bao;(6): 73-78, 2014.
Article
de Zh
| WPRIM
| ID: wpr-285922
Bibliothèque responsable:
WPRO
ABSTRACT
<p><b>OBJECTIVE</b>To investigate the value of diffusion-weighted imaging (DWI) in the differentiation of metastatic lymph nodes from non-metastatic lymph nodes in cervical cancer.</p><p><b>METHODS</b>In 65 patients who underwent lymph node dissection for cervical cancer, conventional MRI and DWI examinations were performed before surgery. Of the 1590 total dissected pelvic lymph nodes, 392 enlarged nodes with a short-axis diameter (S )of 5 mm or greater were included for further analysis. Each of the size-based criteria [i.e., S, long-axis diameter (L), and S/L ratio] and apparent diffusion coefficient(ADC)-based criteria (i.e., ADCmin, ADCmean, rADCmin, rADCmean) were compared between metastatic lymph nodes and non-metastatic lymph nodes.</p><p><b>RESULTS</b>There were statistically significant differences between metastatic and non-metastatic lymph nodes in S, L, S/L ratio, ADCmin, ADCmean, rADCmin, and rADCmean (all P<0.0001). The Az of the ADCmin (0.956) was greater than that of the other ADC-based criteria and all size-based criteria. Using ADCmin=759.0×10(-6) mm(2)/s, the sensitivity and specificity for differentiating metastatic from non-metastatic lymph nodes were 95.2% and 92.1%, respectively.</p><p><b>CONCLUSION</b>DWI, particularly ADCmin, is feasible for differentiating metastatic from non-metastatic pelvic lymph nodes in patients with cervical cancer.</p>
Texte intégral:
1
Indice:
WPRIM
Sujet Principal:
Anatomopathologie
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Tumeurs du col de l'utérus
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Sensibilité et spécificité
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Imagerie par résonance magnétique de diffusion
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Diagnostic
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Noeuds lymphatiques
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Métastase lymphatique
Type d'étude:
Diagnostic_studies
Limites du sujet:
Adult
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Aged
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Female
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Humans
langue:
Zh
Texte intégral:
Zhongguo yi xue ke xue yuan xue bao
Année:
2014
Type:
Article