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| http://dx.doi.org/10.3324/haematol.2019.223016 | DOI Listing |
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Predicting treatment response and survival in rectal cancer: insights from 18 FDG-PET/MRI post-neoadjuvant therapy.
Int J Colorectal Dis
January 2025
General Surgery Department, HM Sanchinarro University Hospital, Madrid, Spain.
Introduction: Accurate identification of patients with pathologic complete response (pCR) following neoadjuvant radiochemotherapy (RCT) for locally advanced rectal cancer (LARC) is essential. 18-FDG PET/MRI provides metabolic information that complements the morphological assessment of standard MRI, potentially enhancing the differentiation between fibrotic and tumorous tissues post-treatment. This study aims to evaluate the performance of 18-FDG PET/MRI in assessing treatment response compared to standard MRI.
View Article and Find Full Text PDFExplainable PET-Based Habitat and Peritumoral Machine Learning Model for Predicting Progression-free Survival in Clinical Stage IA Pure-Solid Non-small Cell Lung Cancer: A Two-center Study.
Acad Radiol
January 2025
Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Key Laboratory of Novel Nuclide Technologies on Precision Diagnosis and Treatment & Clinical Transformation of Wenzhou City, China (K.T.). Electronic address:
Rationale And Objectives: This study aimed to develop and validate machine learning (ML) models utilizing positron emission tomography (PET)-habitat of the tumor and its peritumoral microenvironment to predict progression-free survival (PFS) in patients with clinical stage IA pure-solid non-small cell lung cancer (NSCLC).
Materials And Methods: 234 Patients who underwent lung resection for NSCLC from two hospitals were reviewed. Radiomic features were extracted from both intratumoral, peritumoral and habitat regions on PET.
Prognostic value of [F]FDG PET/CT in patients with idiopathic pulmonary fibrosis.
Sci Rep
January 2025
Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
The study investigates the prognostic value of [F]fluorodeoxyglucose (FDG) PET/CT in patients with idiopathic pulmonary fibrosis (IPF). A total of 346 IPF patients who underwent FDG PET/CT between 2007 and 2020 were analyzed. Pulmonary FDG uptake [target to background ratio (TBR)] was binarized by optimal cut-off value based on survival analysis.
View Article and Find Full Text PDFSemiquantitative 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 PDFPrognostic value of pseudotime from texture parameters of FDG PET/CT in locally advanced rectal cancer with neoadjuvant concurrent chemoradiotherapy.
Sci Rep
December 2024
Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Gu, Seoul, 06351, Republic of Korea.
Texture analysis generates image parameters from F-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT). Although some parameters correlate with tumor biology and clinical attributes, their types and implications can be complex. To overcome this limitation, pseudotime analysis was applied to texture parameters to estimate changes in individual sample characteristics, and the prognostic significance of the estimated pseudotime of primary tumors was evaluated.
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