Browse by author
Lookup NU author(s): Marcus BrookesORCiD, Dr Corey ChanORCiD, Mani Ragbir, Tom Beckingsale, Dr Kenneth RankinORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Background: Sarcomas are rare, aggressive cancers which frequently metastasise to the lungs. Following diagnosis, patients typically undergo staging by means of a CT scan of their chest. This often identifies indeterminate pulmonary nodules (IPNs), but the significance of these in high-grade soft tissue sarcoma (STS) is unclear. Identifying whether these are benign or malignant is important for clinical decision making. This study analyses the clinical relevance of IPNs in high-grade STS. Methods: All patients treated at our centre for high-grade soft tissue sarcoma between 2010 and 2020 were identified from a prospective database. CT scans and their reports were reviewed, and survival data were collected from patient records. Results: 389 suitable patients were identified; 34.4% had IPNs on their CT staging scan and 20.1% progressed into lung metastases. Progression was more likely with IPNs ≥ 5 mm in diameter (p = 0.006), multiple IPNs (p = 0.013) or bilateral IPNs (p = 0.022), as well as in patients with primaries ≥ 5 cm (p = 0.014), grade 3 primaries (p = 0.009) or primaries arising deep to the fascia (p = 0.041). The median time to progression was 143 days. IPNs at diagnosis were associated with an increased risk of developing lung metastases and decreased OS in patients with grade 3 STS (p = 0.0019 and p = 0.0016, respectively); this was not observed in grade 2 patients. Conclusions: IPNs at diagnosis are associated with significantly worse OS in patients with grade 3 STS. It is crucial to consider the primary tumour as well as the IPNs when considering the risk of progression. Surveillance CT scans should be carried out within 6 months.
Author(s): Brookes MJ, Chan CD, Crowley TP, Ragbir M, Beckingsale T, Ghosh KM, Rankin KS
Publication type: Article
Publication status: Published
Journal: Cancers
Year: 2023
Volume: 15
Issue: 13
Online publication date: 07/07/2023
Acceptance date: 05/07/2023
Date deposited: 12/09/2023
ISSN (electronic): 2072-6694
Publisher: MDPI AG
URL: https://doi.org/10.3390/cancers15133531
DOI: 10.3390/cancers15133531
PubMed id: 37444641
Altmetrics provided by Altmetric
