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Aim: This study investigates the use of dual-energy computed tomography (DECT) quantitative parameters to assess Ki-67 expression levels in esophageal squamous cell carcinoma (ESCC).
Methods: A total of 57 ESCC patients who underwent dual-phase DECT scans were included. Key parameters measured were iodine concentration (IC), water concentration (WC), normalized iodine concentration (NIC), spectral Hounsfield unit curve slope (λHu), and effective atomic number (Zeff). Univariate and multivariate analyses identified factors associated with Ki-67 expression levels.
Results: Results showed that high Ki-67 expression correlated with significantly higher Zeff and IC values in the venous phase (VP) (P = 0.047 and P = 0.049, respectively; AUC = 0.67 for both), and lower WC in the arterial phase (AP) (P = 0.021; AUC = 0.70). Multivariate analysis revealed that IC in VP and WC in AP were independent predictors of Ki-67 overexpression. The combination of these two parameters yielded an AUC of 0.78 for predicting Ki-67 overexpression, with 68.3% sensitivity, 87.5% specificity, and 73.7% accuracy.
Conclusions: DECT parameters demonstrate potential for non-invasive Ki-67 status detection in ESCC, offering valuable insights for clinical diagnosis and prognosis.
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http://dx.doi.org/10.3389/fonc.2025.1561256 | DOI Listing |
Front Oncol
August 2025
Department of Radiology, The Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, China.
Objectives: Lymph node metastasis (LNM) is an important factor affecting the stage and prognosis of patients with lung adenocarcinoma. The purpose of this study is to explore the predictive value of the stacking ensemble learning model based on F-FDG PET/CT radiomic features and clinical risk factors for LNM in lung adenocarcinoma, and elucidate the biological basis of predictive features through pathological analysis.
Methods: Ninety patients diagnosed with lung adenocarcinoma who underwent PET/CT were retrospectively analyzed and randomly divided into the training and testing sets in a 7:3 ratio.
Mol Pharm
September 2025
Department of Nuclear Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Tissue factor (TF) has emerged as a promising target for the diagnosis and treatment of hepatocellular carcinoma (HCC). However, there is limited data available on TF-related PET imaging for longitudinal monitoring of the pathophysiological changes during HCC formation. Herein, we aimed to explore the TF-expression feature and compare a novel TF-targeted PET probe with F-FDG through longitudinal imaging in diethylnitrosamine (DEN)-induced rat HCC.
View Article and Find Full Text PDFAdv Pharm Bull
July 2025
Department of Molecular Medicine, Institute of Medical Genetics, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
Purpose: Calumenin (CALU) is a calcium-binding protein involved in several physiological processes, exhibiting tumor-specific expression variation and emerging as a potential player in cancer progression. This study aimed to investigate the correlation between CALU and clinicopathological features in breast cancer (BC) and perform a functional assessment of CALU based on a microRNA-mediated knockdown approach.
Methods: The BC tissues' CALU expression was measured by q-RT-PCR.
Zhonghua Bing Li Xue Za Zhi
September 2025
Department of Pathology, the First Affiliated Hospital with Nanjing Medical University, Nanjing 210029, China.
To investigate the clinicopathological features of SMARCA4-deficient uterine sarcoma. Five cases of SMARCA4-deficient uterine sarcoma at the Department of Pathology, the First Affiliated Hospital of Nanjing Medical University from 2018 to 2024 were collected. The morphological and immunohistochemical features were observed and analyzed.
View Article and Find Full Text PDFZhonghua Bing Li Xue Za Zhi
September 2025
Department of Pathology, Clinical Oncology School of Fujian Medical University/Fujian Cancer Hospital, Fuzhou 350014, China.
To explore the clinical features, histopathological morphology, and differential diagnosis of lymphoepithelioma-like carcinoma with abnormal expression of follicular dendritic cell markers. From 2020 to 2021, 4 cases of lymphoepithelioma-like carcinoma with abnormal expression of follicular dendritic cell markers diagnosed in Fujian Cancer Hospital (2 cases) and the Second Affiliated Hospital of Fujian Medical University (2 cases) were collected. Different ancillary procedures such as HE, special stains, immunohistochemistry, and in situ hybridization techniques were used to assess the histopathological features and immunophenotypes.
View Article and Find Full Text PDF