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Background: The purpose of this retrospective study was to evaluate the value of contrast-enhanced computed tomography (CE-CT) image features at baseline and after neoadjuvant chemotherapy in predicting histopathological response in patients with adenocarcinoma of the gastroesophageal junction (GEJ).
Methods: A total of 105 patients with a diagnosis of adenocarcinoma of the GEJ were examined by CE-CT at baseline and preoperatively after neoadjuvant chemotherapy. All patients underwent surgical resection. Histopathological parameters and tumor regression grading according to Becker et al. were collected in 93 patients. Line profiles of the primary tumor area in baseline and preoperative CE-CT were generated using ImageJ. Maximum tumor density and tumor-to-wall density delta were calculated and correlated with the histopathological tumor response. In addition, tumor response was assessed according to standard RECIST measurements in all patients and by endoscopy in 72 patients.
Results: Baseline and change in baseline to preoperative CE-CT parameters showed no significant differences between responders (Becker grade 1a, 1b) and non-responders (Becker grade 2, 3). After neoadjuvant therapy, responders and non-responders showed significant differences in maximum density and tumor-to-wall density delta values. Line profile measurements showed excellent inter-rater agreement. In comparison, neither RECIST nor endoscopy showed significant differences between these groups.
Conclusions: Posttreatment CE-CT can predict histopathological therapy response to neoadjuvant treatment in adenocarcinoma of GEJ patients with high accuracy and thus may improve patient management.
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http://dx.doi.org/10.3390/cancers17020216 | DOI Listing |
Clin Rheumatol
September 2025
The First College of Clinical Medical Science, Three Gorges University, Yichang, China.
Background: IgG4-related lung disease (IgG4-RLD) is a rare autoimmune condition. This study aims to systematically analyze the clinical characteristics of IgG4-RLD to enhance clinicians' awareness and improve patient outcomes.
Methods: This retrospective analysis investigates the clinical data of 20 patients diagnosed with IgG4-RLD at the Yichang Central People's Hospital between January 2019 and April 2025.
Eur J Nucl Med Mol Imaging
September 2025
Department of Nuclear Medicine, University Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Purpose: Amino acid PET with [F]-fluoroethylthyrosine ([F]FET-PET) is frequently utilized in gliomas. Most studies on prognostication based on amino acid PET comprise mixed cohorts of brain tumors with low- and high-grade features. The objective of this study was to assess the potential prognostic value of [F]FET-PET-based markers in the group of grade 2 adult-type diffuse gliomas, as defined by the WHO CNS 2021 classification.
View Article and Find Full Text PDFPflugers Arch
September 2025
Department of Science, University "G. d'Annunzio" Chieti-Pescara, Chieti, Italy.
Hypoxia has been extensively studied as a stressor which pushes human bodily systems to responses and adaptations. Nevertheless, a few evidence exist onto constituent trains of motor unit action potential, despite recent advancements which allow to decompose surface electromyographic signals. This study aimed to investigate motor unit properties from noninvasive approaches during maximal isometric exercise in normobaric hypoxia.
View Article and Find Full Text PDFJ R Soc Interface
September 2025
ENES Bioacoustics Research Lab, CRNL, CNRS, Inserm, University of Saint-Etienne, Saint-Etienne, France.
Getting caregivers to respond to their pain cries is vital for the human baby. Previous studies have shown that certain features of baby cries-the nonlinear phenomena (NLP)-enable caregivers to assess the pain felt by the baby. However, the extent to which these NLP mobilize the autonomic nervous system of an adult listener remains unexplored.
View Article and Find Full Text PDFCell Rep Med
August 2025
Center for Biomedical-photonics and Molecular Imaging, Advanced Diagnostic-Therapy Technology and Equipment Key Laboratory of Higher Education Institutions in Shaanxi Province, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Mole
Rapid identification and accurate diagnosis are critical for individuals with acute leukemia (AL). Here, we propose a combined deep learning and surface-enhanced Raman scattering (DL-SERS) classification strategy to achieve rapid and sensitive identification of AL with various subtypes and genetic abnormalities. More than 390 of cerebrospinal fluid (CSF) samples are collected as targets, encompassing healthy control, AL patients, and individuals with other diseases.
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