Objective: The objective of this study was to explore the exact relationship between the arterial radiomics score (rad-score) and lymph node (LN) metastasis in pancreatic ductal adenocarcinoma (PDAC).
Methods: A total of 225 patients with pathologically confirmed PDAC who underwent multislice computed tomography within 1 month of resection from December 2016 to August 2017 were retrospectively studied. For each patient, 1029 radiomics features of arterial phase were extracted, which were reduced using the least absolute shrinkage and selection operator logistic regression algorithm. Multivariate logistic regression models were used to analyze the association between the arterial rad-score and LN metastasis.
Results: Lymph node-negative and LN-positive patients accounted for 107 (47.56%) and 118 (52.44%) of the cohort, respectively. The rad-score, which consisted of 12 selected features of the arterial phase, was significantly associated with LN status (P < 0.05). Univariate analysis revealed that the arterial rad-score and T stage were independently and positively associated with risk of LN metastasis (P < 0.05). Multivariate analyses revealed a significant association between the arterial rad-score and the LN metastasis (P < 0.0001). Higher arterial rad-score was associated with LN metastasis (P for trend <0.0001).
Conclusions: The arterial rad-score is independently and positively associated with the risk of LN metastasis in PDAC.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6830946 | PMC |
http://dx.doi.org/10.1097/MPA.0000000000001404 | DOI Listing |
Front Oncol
December 2024
Department of Computed Tomography and Magnetic Resonance, Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Objective: This study aims to develop and validate an enhanced computed tomography (CT)-based radiomics model to differentiate gastric schwannomas (GS) from gastrointestinal stromal tumors (GIST) across various risk categories.
Methods: This retrospective analysis was conducted on 26 GS and 82 GIST cases, all confirmed by postoperative pathology. Data was divided into training and validation cohorts at a 7:3 ratio.
Front Oncol
December 2024
Medical Imaging Center, The first Affiliated Hospital of Jinan University, Guangzhou, China.
Purpose: This study aims to evaluate the effectiveness of CT-based radiomics features in discriminating between nodular goiter (NG) and papillary thyroid carcinoma (PTC).
Methods: A retrospective cohort comprising 228 patients with nodular goiter (NG) and 227 patients with papillary thyroid carcinoma (PTC) diagnosed between January 2018 and December 2022 was consecutively enrolled. Propensity score matching (PSM) was applied to align patients with NG and PTC.
Acad Radiol
November 2024
Department of General Surgery, Hefei BOE Hospital, Hefei, Anhui, China. Electronic address:
Rationale And Objectives: To construct a computed tomography (CT)-based clinical-radiomics nomogram for estimating overall survival (OS) in advanced hepatocellular carcinoma (HCC) patients receiving transcatheter arterial chemoembolization (TACE) in combination with camrelizumab and apatinib.
Methods: A retrospective recruitment of 150 patients with clinically or pathologically confirmed HCC was conducted, followed by their division into training cohort (n = 105) and test cohort (n = 45). To generate the radiomics score (Rad-score), a series of analyses were performed, including Pearson correlation analysis, univariate Cox analysis, and least absolute shrinkage and selection operator Cox regression analysis.
Radiol Med
November 2024
Department of Interventional Oncology, The First Affiliated Hospital of Sun Yat-Sen University, No. 58 Zhongshan 2 Road, Guangzhou, 510080, Guangdong, China.
Front Mol Biosci
August 2024
Department of Medical Imaging, Shangluo Central Hospital, Shangluo, China.
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