Literature DB >> 28703101

CT volumetry can potentially predict the local stage for gastric cancer after chemotherapy.

Zhi Cong Wang1, Chen Wang, Ying Ding, Yuan Ji, Meng Su Zeng, Sheng Xiang Rao.   

Abstract

PURPOSE: We aimed to evaluate the value of CT tumor volumetry for predicting T and N stages of gastric cancer after chemotherapy, with pathologic results as the reference standard.
METHODS: This study retrospectively evaluated 42 patients diagnosed with gastric cancer, who underwent chemotherapy followed by surgery. Pre- and post-treatment CT tumor volumes (VT) were measured in portal venous phase and volume reduction ratios were calculated. Correlations between pre- and post-treatment VT, reduction ratio, and pathologic stages were analyzed. Receiver operator characteristic (ROC) analyses were also performed to assess diagnostic performance for prediction of downstaging to T0-2 stage and N0 stage.
RESULTS: Pretreatment VT, post-treatment VT, and VT reduction ratio were significantly correlated with T stage (rs=0.329, rs=0.546, rs= -0.422, respectively). Post-treatment VT and VT reduction ratio were significantly correlated with N stage (rs=0.442 and rs= -0.376, respectively). Pretreatment VT, post-treatment VT, and VT reduction ratio were significantly different between T0-2 and T3,4 stage tumors (P = 0.05, P < 0.001, and P = 0.002, respectively). The differences between N0 and ≥N1 groups were also statistically significant (P = 0.005 for post-treatment VT, P = 0.016 for VT reduction ratio, respectively). The area under the ROC curve (AUC) for identification of T0-2 groups was 0.70 for pretreatment VT, 0.88 for post-treatment VT, and 0.82 for VT reduction ratio, respectively. AUC was 0.78 for post-treatment VT and 0.74 for VT reduction ratio for identification of N0 groups.
CONCLUSION: CT tumor volumetry, particularly post-treatment measurement of VT, is potentially valuable for predicting histopathologic T and N stages after chemotherapy in patients with gastric cancer.

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Year:  2017        PMID: 28703101      PMCID: PMC5508948          DOI: 10.5152/dir.2017.16517

Source DB:  PubMed          Journal:  Diagn Interv Radiol        ISSN: 1305-3825            Impact factor:   2.630


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