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Arafat, Yaser, Mohammed, Amrallah, Barakat Waley, Ahmad, Soliman K, Basma, S. Bayomi, Mohamed, Hanna, Amira, EL-Shafaay, Basant, EL- Mosely, Marwa M., Mandour, Doaa. (1406). Impact of MRI Findings and Clinical Parameters on Predicting Tumor-Infiltrating Lymphocytes in Hepatocellular Carcinoma Patients. سامانه مدیریت نشریات علمی, (), -. doi: 10.30476/mejc.2026.110435.2398
Yaser Arafat; Amrallah Mohammed; Ahmad Barakat Waley; Basma Soliman K; Mohamed S. Bayomi; Amira Hanna; Basant EL-Shafaay; Marwa M. EL- Mosely; Doaa Mandour. "Impact of MRI Findings and Clinical Parameters on Predicting Tumor-Infiltrating Lymphocytes in Hepatocellular Carcinoma Patients". سامانه مدیریت نشریات علمی, , , 1406, -. doi: 10.30476/mejc.2026.110435.2398
Arafat, Yaser, Mohammed, Amrallah, Barakat Waley, Ahmad, Soliman K, Basma, S. Bayomi, Mohamed, Hanna, Amira, EL-Shafaay, Basant, EL- Mosely, Marwa M., Mandour, Doaa. (1406). 'Impact of MRI Findings and Clinical Parameters on Predicting Tumor-Infiltrating Lymphocytes in Hepatocellular Carcinoma Patients', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.30476/mejc.2026.110435.2398
Arafat, Yaser, Mohammed, Amrallah, Barakat Waley, Ahmad, Soliman K, Basma, S. Bayomi, Mohamed, Hanna, Amira, EL-Shafaay, Basant, EL- Mosely, Marwa M., Mandour, Doaa. Impact of MRI Findings and Clinical Parameters on Predicting Tumor-Infiltrating Lymphocytes in Hepatocellular Carcinoma Patients. سامانه مدیریت نشریات علمی, 1406; (): -. doi: 10.30476/mejc.2026.110435.2398

Impact of MRI Findings and Clinical Parameters on Predicting Tumor-Infiltrating Lymphocytes in Hepatocellular Carcinoma Patients

Middle East Journal of Cancer
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 12 فروردین 1406    اصل مقاله (846.63 K)
نوع مقاله: Original Article(s)
شناسه دیجیتال (DOI): 10.30476/mejc.2026.110435.2398
نویسندگان
Yaser Arafat1؛ Amrallah Mohammed* 1؛ Ahmad Barakat Waley1؛ Basma Soliman K2؛ Mohamed S. Bayomi3؛ Amira Hanna4؛ Basant EL-Shafaay4؛ Marwa M. EL- Mosely5؛ Doaa Mandour4
1Medical Oncology Department, Faculty of Medicine, Zagazig University, Egypt
2RadiodiagnosisDepartment, Faculty of Medicine, Zagazig University, Egyptt
3General Surgery Department, Faculty of Medicine, Zagazig University, Egypt
4Clinical Oncology and Nuclear Medicine Department, Faculty of Medicine, Zagazig University, Egypt
5Pathology Department, Faculty of Medicine, Zagazig University, Egypt
چکیده
Background: The preoperative identification of tumor-infiltrating lymphocyte (TIL) status in hepatocellular carcinoma (HCC) is clinically important, but the ability of magnetic resonance imaging (MRI) features combined with clinical parameters to predict TIL levels remains unclear. The present study aimed to investigate whether MRI features and clinical parameters can predict TIL levels in patients with HCC undergoing surgical resection.
Method: A retrospective study of 156 HCC patients categorized TILs into; group 0 (low TIL, 0%–10%), group 1 (intermediate TIL, 11%–59%), and group 2 (high TIL, ≥60%). Continuous and categorical variables were compared using appropriate tests. Logistic regression identified predictors of TILs.
Results: Of 131 included patients, 37.9% were included in group 0, 12.2% in group 1, and 50.4% in group 2. Group 0 was significantly associated with ≥60 years of age, grade III, microvascular invasion, alpha-fetoprotein (AFP) >400 ng/ml, satellite nodules, unclear tumor boundaries, irregular shapes, non-smooth margins, absence of tumor capsule, and larger size (P < 0.05 for all). AFP level (odds ratio (OR) 0.19; 95% confidence interval (CI) 0.08-0.75, P = 0.03), tumor shape (OR 6.31; 95% CI 2.44-40.31, P = 0.01), margin (OR 0.13; 95% CI 0.05-0.6, P = 0.03), and tumor size on MRI (OR 0.99; 95% CI 1.06-1.49, P = 0.04) were independent predictors of TIL levels.
Conclusion: Preoperative MRI features, including tumor morphology, margin characteristics, and tumor size, together with serum AFP levels, showed a significant value in predicting TIL density in HCC patients undergoing surgical resection. These findings highlight MRI as a non-invasive tool for preoperative assessment and risk stratification.
کلیدواژه‌ها
Hepatocellularcarcinoma؛ Tumor-infiltrating lymphocytes؛ Magnetic resonance imaging
مراجع
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