Xiaoxuan Jia et al. investigated the correlation of the mitotic index of gastric gastrointestinal stromal tumors with CT-identified morphological and first-order #radiomic features, finding that the invasive margin could be the sole independent CT high-risk morphological feature for 1β5βcm gGISTs after tumor size-based subgroup analysis.
CT assessed morphological features can predict higher mitotic index in gastric gastrointestinal stromal tumors - European Radiology
Objectives To investigate the correlation of the mitotic index (MI) of 1β5βcm gastric gastrointestinal stromal tumors (gGISTs) with CT-identified morphological and first-order radiomics features, incorporating subgroup analysis based on tumor size. Methods We enrolled 344 patients across four institutions, each pathologically diagnosed with 1β5βcm gGISTs and undergoing preoperative contrast-enhanced CT scans. Univariate and multivariate analyses were performed to investigate the independent CT morphological high-risk features of MI. Lesions were categorized into four subgroups based on their pathological LD: 1β2βcm (nβ=β69), 2β3βcm (nβ=β96), 3β4βcm (nβ=β107), and 4β5βcm (nβ=β72). CT morphological high-risk features of MI were evaluated in each subgroup. In addition, first-order radiomics features were extracted on CT images of the venous phase, and the association between these features and MI was investigated. Results Tumor size (pβ=β0.04, odds ratio, 1.41; 95% confidence interval: 1.01β1.96) and invasive margin (pβ<β0.01, odds ratio, 4.55; 95% confidence interval: 1.77β11.73) emerged as independent high-risk features for MIβ>β5 of 1β5βcm gGISTs from multivariate analysis. In the subgroup analysis, the invasive margin was correlated with MIβ>β5 in 3β4βcm and 4β5βcm gGISTs (pβ=β0.02, pβ=β0.03), and potentially correlated with MIβ>β5 in 2β3βcm gGISTs (pβ=β0.07). The energy was the sole first-order radiomics feature significantly correlated with gGISTs of MIβ>β5, displaying a strong correlation with CT-detected tumor size (Pearsonβs Οβ=β0.85, pβ<β0.01). Conclusions The invasive margin stands out as the sole independent CT morphological high-risk feature for 1β5βcm gGISTs after tumor size-based subgroup analysis, overshadowing intratumoral morphological characteristics and first-order radiomics features. Key Points Question How can accurate preoperative risk stratification of gGISTs be achieved to support treatment decision-making? Findings Invasive margins may serve as a reliable marker for risk prediction in gGISTs up to 5 cm, rather than surface ulceration, irregular shape, necrosis, or heterogeneous enhancement. Clinical relevance For gGISTs measuring up to 5βcm, preoperative prediction of the metastatic risk could help select patients who could be treated by endoscopic resection, thereby avoiding overtreatment.
