ArticleQuantitative imaging in medicine and surgery2025
Differentiation of inflammatory pseudotumors and malignant pulmonary nodules using the time-to-peak in first-pass dual-input volume computed tomography-perfusion.
Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Staged traditional Chinese medicine treatment for suspected pulmonary inflammatory pseudotumor with progressive lesion reduction: a case report and literature review.Frontiers in medicine · 2026Article
- Clinical analysis of incidental discovery of pulmonary nodules with computed tomography: a retrospective cohort study.Journal of thoracic disease · 2025Article
- Non-invasive prediction of EGFR gene mutations in non-small cell lung cancer by multi-parameter CT perfusion imaging.Frontiers in medicine · 2025Article
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7 authors.
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Abstract
Background: Inflammatory pseudotumors (IPTs) are often misdiagnosed as malignant solitary pulmonary nodules (SPNs) because their imaging features overlap with those of malignant SPNs, leading to overtreatment. The purpose of this article was to investigate the value of first-pass enhanced time-to-peak (TTP) in distinguishing IPTs from malignant SPNs using dual-input volume computed tomography perfusion (DI-CTP). Methods: This retrospective study included consecutive patients from No. 82 Group Hospital of Chinese People's Liberation Army with IPTs or malignant SPNs by surgery or biopsy from June 2016 to October 2021. Pulmonary artery flow (PF), bronchial artery flow (BF), perfusion index (PI), time-density curve, total perfusion (TLP), and first-pass TTP for all SPNs were determined by DI-CTP. The receiver operating characteristic (ROC) curve was used to analyse the values of TTP and other perfusion parameters in the differential diagnosis of IPTs and malignant SPNs. Results: Ninety-eight patients were enrolled, including 25 with IPTs and 73 with malignant SPNs. The intraclass correlation coefficient (ICC) for inter-observer and intra-observer reliability of all parameters was perfect (all ICCs >0.90, P<0.01). Compared with IPTs, the malignant SPNs showed significantly higher PF, TLP, and TTP (all P<0.01), without significant differences in BF and PI (all P>0.05). The area under the curve of TTP was 0.987, which was higher than those of the other perfusion parameters (0.987 Conclusions: Compared with other perfusion parameters, TTP may be a more valuable parameter to differentiate IPTs from malignant SPNs.
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