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CT assessed morphological features can predict higher mitotic index in gastric gastrointestinal stromal tumors.
Jia, Xiaoxuan; Xiao, Youping; Zhang, Hui; Li, Jiazheng; Lv, Shiying; Zhang, Yinli; Chai, Fan; Feng, Caizhen; Liu, Yulu; Chen, Haoquan; Ma, Feiyu; Wei, Shengcai; Cheng, Jin; Zhang, Sen; Gao, Zhidong; Hong, Nan; Tang, Lei; Wang, Yi.
Afiliação
  • Jia X; Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Xiao Y; Department of Radiology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China.
  • Zhang H; Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Li J; Department of Radiology, Peking University Cancer Hospital and Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, China.
  • Lv S; Department of Radiology, Shijiazhuang People's Hospital, Shijiazhuang, China.
  • Zhang Y; Department of Pathology, Peking University People's Hospital, Beijing, China.
  • Chai F; Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Feng C; Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Liu Y; Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Chen H; Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Ma F; Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Wei S; Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Cheng J; Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Zhang S; Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Gao Z; Department of Gastrointestinal Surgery, Peking University People's Hospital, Beijing, China.
  • Hong N; Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Tang L; Department of Radiology, Peking University Cancer Hospital and Institute, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Beijing, China. terrytang78@163.com.
  • Wang Y; Department of Radiology, Peking University People's Hospital, Beijing, China. wang_yi@bjmu.edu.cn.
Eur Radiol ; 2024 Oct 01.
Article em En | MEDLINE | ID: mdl-39349725
ABSTRACT

OBJECTIVES:

To investigate the correlation of the mitotic index (MI) of 1-5 cm 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 1-5 cm 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 1-2 cm (n = 69), 2-3 cm (n = 96), 3-4 cm (n = 107), and 4-5 cm (n = 72). 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 (p = 0.04, odds ratio, 1.41; 95% confidence interval 1.01-1.96) and invasive margin (p < 0.01, odds ratio, 4.55; 95% confidence interval 1.77-11.73) emerged as independent high-risk features for MI > 5 of 1-5 cm gGISTs from multivariate analysis. In the subgroup analysis, the invasive margin was correlated with MI > 5 in 3-4 cm and 4-5 cm gGISTs (p = 0.02, p = 0.03), and potentially correlated with MI > 5 in 2-3 cm gGISTs (p = 0.07). The energy was the sole first-order radiomics feature significantly correlated with gGISTs of MI > 5, displaying a strong correlation with CT-detected tumor size (Pearson's ρ = 0.85, p < 0.01).

CONCLUSIONS:

The invasive margin stands out as the sole independent CT morphological high-risk feature for 1-5 cm 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 5 cm, preoperative prediction of the metastatic risk could help select patients who could be treated by endoscopic resection, thereby avoiding overtreatment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China