The Prognostic Value of 18 F-FDG PET Imaging at Staging in Patients with Malignant Pleural Mesothelioma: A Literature Review.
Silvia TaralliRomina Grazia GiancipoliCarmelo CaldarellaValentina ScolozziSara RicciardiGiuseppe CardilloMaria Lucia CalcagniPublished in: Journal of clinical medicine (2021)
Malignant pleural mesothelioma (MPM) is an aggressive malignancy, frequently diagnosed at locally-advanced/metastatic stages. Due to a very poor prognosis and limited treatment options, the need to identify new prognostic markers represents a great clinical challenge. The prognostic role of metabolic information derived from Positron Emission Tomography (PET) with 18 F-Fluoro-deoxy-glucose ( 18 F-FDG) has been investigated in different MPM settings, however with no definitive consensus. In this comprehensive review, the prognostic value of FDG-PET imaging exclusively performed at staging in MPM patients was evaluated, conducting a literature search on PubMed/MEDLINE from 2010 to 2020. From the 19 selected studies, despite heterogeneity in several aspects, staging FDG-PET imaging emerges as a valuable prognostic biomarker, with higher tumor uptake predictive of worse prognosis, and with volumetric metabolic parameters like Metabolic Tumor Volume, (MTV) and Total Lesion Glycolisis (TLG) performing better than SUVmax. However, PET uptake parameters were not always confirmed as independent prognostic factors, especially in patients previously treated with pleurodesis and with a non-epithelioid histotype. Future prospective studies in larger and clinically homogeneous populations, and using more standardized methods of PET images analysis, are needed to further validate the value of staging FDG-PET in the prognostic MPM stratification, with a potential impact on better patient-tailored treatment planning, in the perspective of personalized medicine.
Keyphrases
- pet imaging
- positron emission tomography
- pet ct
- prognostic factors
- computed tomography
- poor prognosis
- end stage renal disease
- newly diagnosed
- lymph node
- locally advanced
- squamous cell carcinoma
- chronic kidney disease
- long non coding rna
- ejection fraction
- small cell lung cancer
- case report
- single cell
- neoadjuvant chemotherapy
- metabolic syndrome
- healthcare
- deep learning
- insulin resistance
- clinical trial
- optical coherence tomography
- convolutional neural network
- adipose tissue
- rectal cancer
- climate change
- atomic force microscopy
- current status
- high resolution
- case control
- mass spectrometry