Head and Neck Squamous Cell Carcinoma: Insights from Dual-Energy Computed Tomography (DECT) DOI Creative Commons
Eleonora Bicci, A Finizio, Leonardo Calamandrei

et al.

Tomography, Journal Year: 2024, Volume and Issue: 10(11), P. 1780 - 1797

Published: Nov. 11, 2024

Head and neck cancer represents the seventh most common neoplasm worldwide, with squamous cell carcinoma being represented histologic variant. The rising incidence of neoplastic pathology this district, coupled drastic changes in its epidemiology over past decades, have posed significant challenges to physicians worldwide terms diagnosis, prognosis, treatment. In order meet these challenges, a considerable amount effort has been spent by authors recent literature explore new technologies their possible employment for better diagnostic prognostic definition head (HNSCC). Among technologies, growing interest gathering around applications dual-energy computed tomography (DECT) pathology. Dual-energy utilizes two distinct X-ray energy spectra obtain datasets single scan, allowing material differentiation based on unique attenuation profiles. DECT offers key benefits such as enhanced contrast resolution, reduced beam-hardening artifacts, precise iodine quantification through monochromatic reconstructions. It also creates decomposition images, like maps, aiding tumor characterization therapy assessment. This paper aims summarize findings use HNSCC, providing comprehensive overview aid further research exploration field.

Language: Английский

CT-based radiomics models using intralesional and different perilesional signatures in predicting the microvascular density of hepatic alveolar echinococcosis DOI Creative Commons
Juan Hou,

Simiao Zhang,

Shouxian Li

et al.

BMC Medical Imaging, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 10, 2025

To evaluate the performance of CT-based intralesional combined with different perilesional radiomics models in predicting microvascular density (MVD) hepatic alveolar echinococcosis (HAE). This study retrospectively analyzed preoperative CT data from 303 patients HAE confirmed by surgical pathology (MVD positive, n = 182; MVD negative, 121). The were randomly divided into training cohort (n 242) and test 61) at a ratio 8:2. features extracted images on portal vein phase. Four constructed based gross lesion volume (GLV), 10 mm (GPLV10mm), 15 (GPLV15mm) 20 (GPLV20mm). best signature model clinical to establish nomogram. Receiver operating characteristic curve (ROC) decision analysis (DCA) used predictive models. Among four models, GPLV20mm performed highest prediction area under curves (AUCs) was 0.876 0.802, respectively. AUC 0.753 0.699 cohort. nomogram radiomic signatures 0.922 0.849 DCA showed that had greater benefits among three can better predict HAE. performance.

Language: Английский

Citations

0
Research Progress on the Application of Radiomics in the Diagnosis and Treatment of Gliomas DOI Open Access

康霖 熊

Journal of Clinical Personalized Medicine, Journal Year: 2025, Volume and Issue: 04(02), P. 657 - 664

Published: Jan. 1, 2025

Language: Английский

Citations

0
Head and Neck Squamous Cell Carcinoma: Insights from Dual-Energy Computed Tomography (DECT) DOI Creative Commons
Eleonora Bicci, A Finizio, Leonardo Calamandrei

et al.

Tomography, Journal Year: 2024, Volume and Issue: 10(11), P. 1780 - 1797

Published: Nov. 11, 2024

Head and neck cancer represents the seventh most common neoplasm worldwide, with squamous cell carcinoma being represented histologic variant. The rising incidence of neoplastic pathology this district, coupled drastic changes in its epidemiology over past decades, have posed significant challenges to physicians worldwide terms diagnosis, prognosis, treatment. In order meet these challenges, a considerable amount effort has been spent by authors recent literature explore new technologies their possible employment for better diagnostic prognostic definition head (HNSCC). Among technologies, growing interest gathering around applications dual-energy computed tomography (DECT) pathology. Dual-energy utilizes two distinct X-ray energy spectra obtain datasets single scan, allowing material differentiation based on unique attenuation profiles. DECT offers key benefits such as enhanced contrast resolution, reduced beam-hardening artifacts, precise iodine quantification through monochromatic reconstructions. It also creates decomposition images, like maps, aiding tumor characterization therapy assessment. This paper aims summarize findings use HNSCC, providing comprehensive overview aid further research exploration field.

Language: Английский

Citations

0