Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11157124 | PMC |
| http://dx.doi.org/10.3389/fonc.2024.1421542 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
CT Predictors of Angiolymphatic Invasion in Non-Small Cell Lung Cancer 30 mm or Smaller.
Radiology
January 2025
From the Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China (Q.S., P.L., J.Z.); and Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029 (Q.S., P.L., R.Y., D.F.Y., C.I.H.).
Background Angiolymphatic invasion (ALI) is an important prognostic indicator in non-small cell lung cancer (NSCLC). However, few studies focus on radiologic features for predicting ALI in patients with early-stage NSCLCs 30 mm or smaller. Purpose To identify radiologic features for predicting ALI in NSCLCs 30 mm or smaller in maximum diameter.
View Article and Find Full Text PDFCase report: Detecting giant cell arteritis in [Ga]Ga-DOTA-Siglec-9-PET/CT.
Front Immunol
January 2025
Department of Rheumatology and Clinical Immunology, Clinic of Internal Medicine III, University Hospital Bonn, Bonn, Germany.
Objectives: This study aimed to evaluate the diagnostic utility of [Ga]Ga-DOTA-Siglec-9 positron emission tomography-computed tomography (PET/CT) in assessing disease activity in a patient experiencing a relapse of giant cell arteritis (GCA).
Case Presentation: A 90-year-old male patient with GCA, diagnosed in 2018, was enrolled. Demographic data, disease history, and laboratory parameters, including soluble VAP-1 (sVAP-1) levels, were recorded.
Semiquantitative 2-[F]FDG PET/CT-based parameters role in lymphoma.
Front Med (Lausanne)
December 2024
Dipartimento di Radiodiagnostica e Radioterapia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
2-deoxy-2-[F]-fluoro-D-glucose (2-[F]FDG) positron emission tomography/computed tomography (PET/CT) plays a crucial role in the management of lymphoma in different settings, such as staging disease, assessing response to therapy, predicting prognosis, and planning RT. Beside visual analysis, several semiquantitative parameters were introduced to study lymphoma with promising results. These parameters can represent different disease characteristics, like body composition (such as sarcopenic index), dissemination of disease (Dmax), tumor burden (including metabolic tumor volume) and texture features.
View Article and Find Full Text PDFUse of Prostate-specific Membrane Antigen Positron Emission Tomography/Computed Tomography for Nodal Staging in Prostate Cancer and Tailoring of Treatment: A Continuing Conundrum.
Eur Urol
December 2024
Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.
Trials have shown that prostate-specific membrane antigen (PSMA)-based positron emission tomography/computed tomography (PET/CT) is more accurate than conventional imaging for staging of nodal status in prostate cancer. We discuss the advantages of PSMA PET/CT over current options for nodal staging and highlight the issues that need to be resolved for implementation of this modality in routine practice.
View Article and Find Full Text PDFDeep learning-based low count whole-body positron emission tomography denoising incorporating computed tomography priors.
Quant Imaging Med Surg
December 2024
Biomedical Imaging Laboratory (BIG), Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China.
Background: Deep-learning-based denoising improves image quality and quantification accuracy for low count (LC) positron emission tomography (PET). Conventional deep-learning-based denoising methods only require single LC PET image input. This study aims to propose a deep-learning-based LC PET denoising method incorporating computed tomography (CT) priors to further reduce the dose level.
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!