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A Quantitative Model Based on Gross Tumor Volume of Gastric Adenocarcinoma Corresponding to N-stage Measured at Multidetector Computed Tomography for Preoperative Determination of Resectability: A Case Control Study

Overview
Journal Front Oncol
Specialty Oncology
Date 2022 Oct 24
PMID 36276081
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Abstract

Purpose: To develop and validate a quantitative model based on gross tumor volume (GTV) of gastric adenocarcinoma (GA) corresponding to N-stage measured at multidetector computed tomography (CT) for preoperative determination of resectability.

Materials And Methods: 493 consecutive patients with confirmed GA undergoing contrast-enhanced CT two weeks before treatments were randomly enrolled into the training cohort (TC, n = 271), internal validation cohort (IVC, n = 107) and external validation cohort (EVC, n = 115). GTV was measured on CT by multiplying sums of all tumor areas by section thickness. In TC, univariate and multivariate analyses were performed to select factors associated with resectability. Receiver operating characteristic (ROC) analysis was to determine if N-stage based GTV could identify resectability. In IVC and EVC, unweighted Cohen's Kappa tests were to evaluate performances of the ROC models.

Results: According to univariate analysis, age, cT stage, cN stage and GTV were related to resectability in TC (all -values < 0.05), and multivariate analysis suggested that cN stage and GTV were independent risk factors with odds ratios of 1.594 (95% confidence interval [CI]: 1.105-2.301) and 1.055 (95%CI: 1.035-1.076), respectively. ROC analysis in TC revealed the cutoffs of 21.81, 21.70 and 36.93 cm to differentiate between resectable and unresectable cancers in stages cN, cN and cN with areas under the curves of more than 0.8, respectively, which was validated in IVC and EVC with average Cohen k-values of more than 0.72.

Conclusions: GTV and cN stage can be independent risk factors of unresectable GA, and N-stage based GTV can help determine resectability.

References
1.
Hsieh F, Wang Y, Hsu J, Liu K, Yeh C . Clinicopathological features and prognostic factors of gastric cancer patients aged 40 years or younger. J Surg Oncol. 2011; 105(3):304-9. DOI: 10.1002/jso.22084. View

2.
Li H, Chen X, Li J, Li Z, Chen T, Pu H . Tumor volume of resectable gastric adenocarcinoma on multidetector computed tomography: association with N categories. Clinics (Sao Paulo). 2016; 71(4):199-204. PMC: 4825194. DOI: 10.6061/clinics/2016(04)04. View

3.
Qian Z, Wang J . Application of Computed Tomography Imaging in Diagnosis of Endocrine Nerve of Gastric Cancer and Nursing Intervention Effect. World Neurosurg. 2020; 149:341-351. DOI: 10.1016/j.wneu.2020.10.005. View

4.
Asakawa Y, Ohtaka M, Maekawa S, Fukasawa M, Nakayama Y, Yamaguchi T . Stratifying the risk of lymph node metastasis in undifferentiated-type early gastric cancer. World J Gastroenterol. 2015; 21(9):2683-92. PMC: 4351219. DOI: 10.3748/wjg.v21.i9.2683. View

5.
Sung H, Ferlay J, Siegel R, Laversanne M, Soerjomataram I, Jemal A . Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021; 71(3):209-249. DOI: 10.3322/caac.21660. View