1.Prognostic value of systemic immune-inflammation index in patients with gastric cancer
Wang KANG ; Diao FEIYU ; Ye ZHIJUN ; Zhang XINHUA ; Zhai ERTAO ; Ren HUI ; Li TONG ; Wu HUI ; He YULONG ; Cai SHIRONG ; Chen JIANHUI
Chinese Journal of Cancer 2017;36(9):420-426
Background:Inflammation-based indexes have been used to predict survival and recurrence in cancer patients.Systemic immune-inflammation index (SII) was reported to be associated with prognosis in some malignant tumors.In the present study,we aimed to explore the association between SII and the prognosis of patients with gastric cancer.Methods:We retrospectively analyzed data from 444 gastric cancer patients who underwent gastrectomy at the First Affiliated Hospital of Sun Yat-sen University between January 1994 and December 2005.Preoperative SII was calculated.The Chi square test or Fisher's exact test was used to determine the relationship between preoperative SII and clinicopathologic characteristics.Overall survival (OS) rates were estimated using the Kaplan-Meier method,and the effect of SII on OS was analyzed using the Cox proportional hazards model.Receiver operating characteristic (ROC) curves were used to compare the predictive ability of SII,NLR,and PLR.Results:SII equal to or higher than 660 was significantly associated with old age,large tumor size,unfavorable Borrmann classification,advanced tumor invasion,lymph node metastasis,distant metastasis,advanced TNM stage,and high carcino-embryonic antigen level,high neutrophil-lymphocyte ratio,and high platelet-lymphocyte ratio (all P < 0.05).High SII was significantly associated with unfavorable prognosis (P < 0.001) and SII was an independent predictor for OS (P =0.015).Subgroups analysis further showed significant associations between high SII and short OS in stage Ⅰ,Ⅱ,Ⅲ subgroups (all P < 0.05).SII was superior to NLR and PLR for predicting OS in patients with gastric cancer.Conclusion:Preoperative SII level is an independent prognostic factor for OS in patients with gastric cancer.
2.Computed tomography and magnetic resonance imaging evaluation of pelvic lymph node metastasis in bladder cancer.
Yong LI ; Feiyu DIAO ; Siya SHI ; Kaiwen LI ; Wangshu ZHU ; Shaoxu WU ; Tianxin LIN
Chinese Journal of Cancer 2018;37(1):3-3
BACKGROUND:
Accurate evaluation of lymph node metastasis in bladder cancer (BCa) is important for disease staging, treatment selection, and prognosis prediction. In this study, we aimed to evaluate the diagnostic accuracy of computed tomography (CT) and magnetic resonance imaging (MRI) for metastatic lymph nodes in BCa and establish criteria of imaging diagnosis.
METHODS:
We retrospectively assessed the imaging characteristics of 191 BCa patients who underwent radical cystectomy. The data regarding size, shape, density, and diffusion of the lymph nodes on CT and/or MRI were obtained and analyzed using Kruskal-Wallis test and χ test. The optimal cutoff value for the size of metastatic node was determined using the receiver operating characteristic (ROC) curve analysis.
RESULTS:
A total of 184 out of 3317 resected lymph nodes were diagnosed as metastatic lymph nodes. Among 82 imaging-detectable lymph nodes, 51 were confirmed to be positive for metastasis. The detection rate of metastatic nodes increased along with more advanced tumor stage (P < 0.001). Once the ratio of short- to long-axis diameter ≤ 0.4 or fatty hilum was observed in lymph nodes on imaging, it indicated non-metastases. Besides, lymph nodes with spiculate or obscure margin or necrosis indicated metastases. Furthermore, the short diameter of 6.8 mm was the optimal threshold to diagnose metastatic lymph node, with the area under ROC curve of 0.815.
CONCLUSIONS
The probability of metastatic nodes significantly increased with more advanced T stages. Once lymph nodes are detected on imaging, the characteristic signs should be paid attention to. The short diameter > 6.8 mm may indicate metastatic lymph nodes in BCa.
Adult
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Aged
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Aged, 80 and over
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Female
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Humans
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Lymph Node Excision
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Lymph Nodes
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pathology
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Lymphatic Metastasis
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diagnostic imaging
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pathology
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Magnetic Resonance Imaging
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Male
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Middle Aged
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Neoplasm Staging
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Pelvic Neoplasms
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diagnostic imaging
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pathology
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secondary
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surgery
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Pelvis
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diagnostic imaging
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pathology
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Tomography, X-Ray Computed
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Urinary Bladder Neoplasms
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diagnostic imaging
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pathology
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surgery