The Incidence of Distant Metastases in Patients with Pleural Mesothelioma Screened for a Multimodal Approach: How Much Staging Do We Really Need?
Arberit HyseniJan ViehofJan HockmannMartin MetzenmacherWilfried EberhardtKen HerrmannHubertus HautzelClemens AignerTill PlönesPublished in: Cancers (2024)
Pleural mesothelioma (PM) is a very aggressive malignancy with a poor prognosis. Most patients receive systemic treatment only; however, some patients may benefit from multimodality treatment. A precise staging of patients undergoing multimodal treatment is mandatory. We investigated the pattern of metastasis in a cohort of patients screened for multimodal treatment to define the extent of staging examinations. Additionally, we investigated the occurrence of metastasis during follow-up. We investigated a single-center experience of 545 patients newly diagnosed and/or treated with PM between the years 2010 and 2022. Patients who were treated naïvely and had a whole set of imaging of the brain were included and further analyzed. A total of 54% of all patients with cerebral imaging had an available 18 FDG-PET CT scan. We also recorded metastasis during treatment follow-up. There were 110 patients who had a whole set of imaging (CT = 89% and MRI = 11%) of the brain, and 54% of all patients with cerebral imaging had an available 18 FDG-PET CT scan. We identified four patients with cerebral metastasis at the time of first diagnosis, which means that 5.4% of the cohort had cerebral metastasis and 13.3% of all patients in the subgroup with complete data of 18 FDG-PET CT had distant non-cerebral metastasis. During the longitudinal follow-up, we found 11 patients with newly diagnosed metastases after a median time of 1.6 years (range: 2 months to 3.3 years) after first diagnosis without metastases. Distant metastases are more frequent in mesothelioma patients than previously thought. This implies that extensive staging is needed for patients selected for multimodal treatment, including brain imaging and 18 FDG-PET CT.
Keyphrases
- newly diagnosed
- end stage renal disease
- ejection fraction
- chronic kidney disease
- lymph node
- poor prognosis
- patients undergoing
- prognostic factors
- randomized controlled trial
- high resolution
- subarachnoid hemorrhage
- magnetic resonance
- magnetic resonance imaging
- multiple sclerosis
- mass spectrometry
- risk factors
- clinical trial
- machine learning
- study protocol
- combination therapy
- white matter
- artificial intelligence
- drug induced
- atomic force microscopy
- double blind
- data analysis