Application of Intravoxel Incoherent Motion in the Prediction of Intra-Tumoral Tertiary Lymphoid Structures in Hepatocellular Carcinoma

被引：0

作者：

Ma, Lidi ^{[1
,2
]}

Liao, Shuting ^{[1
,2
]}

Zhang, Xiaolan ^{[3
]}

Zhou, Fan ^{[1
,2
]}

Geng, Zhijun ^{[1
,2
]}

Hu, Jing ^{[3
]}

Zhang, Yunfei ^{[4
]}

Zhang, Cheng ^{[1
,2
]}

Meng, Tiebao ^{[1
,2
]}

Wang, Shutong ^{[5
]}

Xie, Chuanmiao ^{[1
,2
]}

机构：

[1] Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, Guangdong Prov Clin Res Ctr Canc, State Key Lab Oncol South China, Guangzhou 510060, Peoples R China

[2] Sun Yat sen Univ, Canc Ctr, Dept Radiol, State Key Lab Oncol South China, Guangzhou, Peoples R China

[3] Shukun Technol Co Ltd, Beijing, Peoples R China

[4] Cent Res Inst United Imaging Healthcare, Shanghai, Peoples R China

[5] Sun Yat Sen Univ, Affiliated Hosp 1, Ctr Hepatopancreato Biliary Surg, Guangzhou 510080, Guangdong, Peoples R China

来源：

JOURNAL OF HEPATOCELLULAR CARCINOMA | 2025年 / 12卷

基金：

中国国家自然科学基金;

关键词：

intravoxel incoherent motion; tertiary lymphatic structures; hepatocellular carcinoma; radiomics; recurrence-free survival; IMMUNOTHERAPY; LESIONS; CELLS;

D O I：

暂无

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Objective: To explore the value of intravoxel incoherent motion (IVIM) sequences in predicting intra-tumoral tertiary lymphoid structures (TLSs). Materials and Methods: This prospective study pre-operatively enrolled hepatocellular carcinoma (HCC) patients who underwent magnetic resonance imaging including IVIM sequences, between January 2019 and April 2021. Intra-tumoral TLSs presence was assessed on pathological slide images. Clinical and radiological characteristics were collected. IVIM quantitative parameters and radiomics features were obtained based on the whole delineated tumor volume. By using feature selection techniques, 22 radiomics features, clinical-radiological features (lymphocyte count and satellite nodules), and IVIM parameters (apparent diffusion coefficient (ADC_90Percentile), perfusion fraction (f_Maximum)) were selected. The logistic regression algorithm was used to construct the prediction model based on the combination of these features. The diagnostic performance was assessed using the area under the receiver operating characteristic (AUC). The recurrence-free survival (RFS) was evaluated with Kaplan-Meier curves. Results: A total of 168 patients were divided into training (n=128) and testing (n=40) cohorts (mean age: 56.83 +/- 14.43 years; 149 [88.69%] males; 130 TLSs+). In testing cohort, the model combining multimodal features demonstrated a good performance (AUC: 0.86) and significantly outperformed models based on single-modality features. The model based on radiomics features (AUC: 0.80) had better performance than other features, including IVIM parameter maps (ADC_90Percentile and f_Maximum, AUC: 0.72) and clinical-radiological characteristics (satellite nodules and lymphocyte counts, AUC: 0.59). TLSs+ patients had higher RFS than TSLspatients (allp <0.05). Conclusion: The nomogram based on the proposed model can be used as a pre-operative predictive biomarker of TLSs. Critical Relevance Statement: The nomogram incorporating IVIM sequences may serve as a pre-operative predictive biomarker of intra-tumoral tertiary lymphoid structure (TLS) status.

引用

页码：383 / 398

页数：16