Aims: The aim of the study was to predict and assess treatment response by histogram analysis of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to patients with locally advanced esophageal squamous cell carcinoma receiving chemoradiotherapy (CRT).
Materials And Methods: Seventy-two patients with locally advanced esophageal squamous cell carcinoma who underwent DCE-MRI before and after chemoradiotherapy were enrolled and divided into the complete response (CR) group and the non-CR group based on RECIST. The histogram parameters (10th percentile, 90th percentile, median, mean, standard deviation, skewness, and kurtosis) of pre-CRT and post-CRT were compared using a paired Student's t test in the CR and non-CR groups, respectively. The histogram parameter differences between the CR and the non-CR groups were compared using an unpaired Student's t test. A receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic performance.
Results: The histogram parameters of K values were observed to have significantly decreased after chemoradiotherapy in the CR group. The CR responders showed significantly higher median, mean, and 10th and 90th percentile of pre-K values than those of the non-CR group. The histogram analysis indicated the decreased heterogeneity in the CR group after CRT. Esophageal cancer with higher pre-K and lower post-K values indicated a good treatment response to CRT. Pre-K-10th showed the best diagnostic performance in predicting the chemoradiotherapy response.
Conclusions: The histogram parameters of K are useful in the assessment and prediction of the chemoradiotherapy response in patients with advanced esophageal squamous cell carcinoma. DCE-MRI could serve as an adjunctive imaging technique for treatment planning.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s11547-019-01081-1 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Application of Spatial Transcriptomics in Digestive System Tumors.
Biomolecules
December 2024
Department of Gastric Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou 510060, China.
In the field of digestive system tumor research, spatial transcriptomics technologies are used to delve into the spatial structure and the spatial heterogeneity of tumors and to analyze the tumor microenvironment (TME) and the inter-cellular interactions within it by revealing gene expression in tumors. These technologies are also instrumental in the diagnosis, prognosis, and treatment of digestive system tumors. This review provides a concise introduction to spatial transcriptomics and summarizes recent advances, application prospects, and technical challenges of these technologies in digestive system tumor research.
View Article and Find Full Text PDFLiquid Biopsy and Multidisciplinary Treatment for Esophageal Cancer.
Cancers (Basel)
January 2025
Department of Surgery, Keio University School of Medicine, Tokyo 160-8582, Japan.
Esophageal cancer (EC) is one of the leading causes of cancer-related deaths globally. Surgery is the standard treatment for resectable EC after preoperative chemoradiotherapy or chemotherapy, followed by postoperative adjuvant chemotherapy in certain cases. Upper gastrointestinal endoscopy and computed tomography (CT) are predominantly performed to evaluate the efficacy of these treatments, but their sensitivity and accuracy for evaluating minimal residual disease remain unsatisfactory, thereby requiring the development of alternative methods.
View Article and Find Full Text PDFPET-Assessed Metabolic Tumor Volume Across the Spectrum of Solid-Organ Malignancies: A Review of the Literature.
Biomedicines
January 2025
Digestive Diseases and Surgery Institute, HPB and Transplant Surgery, Cleveland Clinic Foundation, Cleveland, OH 44195, USA.
Solid-organ malignancies represent a significant disease burden and remain one of the leading causes of death globally. In the past few decades, the rapid evolution of imaging modalities has shifted the paradigm towards image-based precision medicine, especially in the care of patients with solid-organ malignancies. Metabolic tumor volume (MTV) is one such semi-quantitative parameter obtained from positron emission tomography (PET) imaging with F-fluorodeoxyglucose (FDG) that has been shown to have significant implications in the clinical oncology setting.
View Article and Find Full Text PDFApplication of Esophageal Sponge Cytology in Screening Esophageal Squamous Cell Carcinoma in a High-Risk Region of China.
Cancer Med
February 2025
Cancer Institute of Jiangsu Province, Jiangsu Cancer Hospital, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.
Objective: To investigate the feasibility and accuracy of esophageal sponge cytology in screening esophageal squamous cell carcinoma (ESCC).
Methods: From May 2021 to June 2022, an opportunistic screening was performed in people aged 40-75 from a high-risk region for ESCC. Using an esophageal cell collector that was independently developed in China for esophageal sponge cytology, a positive cytology was determined as detection of atypical squamous cells or more severe lesions.
The differences in injury patterns and outcomes of thoracic trauma between rural and urban level two trauma centers in a single country.
Eur J Trauma Emerg Surg
January 2025
Thoracic and Esophageal Surgery Division, The Cardiovascular Institute, Tzafon Medical Center, Baruch-Padeah, Poriya, Galilee, Israel.
Purpose: Equal level trauma centers in the same country might have significant differences regarding their demographics and types of trauma. Understanding geographic variations in injury patterns are essential for optimal care. Here we describe the differences in injury patterns and associated outcomes of thoracic trauma patients between rural and urban level-II trauma centers in a single country.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!