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

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2017

Erschienen:

2017

Enthalten in:

Zur Gesamtaufnahme - volume:23

Enthalten in:

Diagnostic and interventional radiology (Ankara, Turkey) - 23(2017), 4 vom: 06. Juli, Seite 257-262

Sprache:

Englisch

Beteiligte Personen:

Wang, Zhi Cong [VerfasserIn]
Wang, Chen [VerfasserIn]
Ding, Ying [VerfasserIn]
Ji, Yuan [VerfasserIn]
Zeng, Meng Su [VerfasserIn]
Rao, Sheng Xiang [VerfasserIn]

Links:

Volltext

Themen:

Contrast Media
Journal Article

Anmerkungen:

Date Completed 28.02.2018

Date Revised 13.11.2018

published: Print

Citation Status MEDLINE

doi:

10.5152/dir.2017.16517

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM273790595