Differential diagnosis of single inflammatory pseudotumor and peripheral lung cancer with 320-slice CT dual-input perfusion imaging / 中国医学影像技术
Chinese Journal of Medical Imaging Technology
;
(12): 1214-1219, 2019.
Artículo
en Chino
| WPRIM
| ID: wpr-861276
ABSTRACT
Objective:
To explore the value of dual-input perfusion imaging (DI-CTP) in differential diagnosis of single inflammatory pseudotumor and peripheral lung cancer with 320-slice CT.Methods:
Totally 52 patients with single pathological proved peripheral lung cancer (28 with adenocarcinoma, 24 with squamous cell carcinoma) and 21 patients with inflammatory pseudoaneurysm were enrolled. Pulmonary artery flow (PF) and bronchial artery flow (BF) were obtained, the perfusion index (PI) and total perfusion (TLP) were calculated. Time-density curve was obtained from DI-CTP, and the enhanced time to peak (TTP) were calculated. The above indexes were analyzed among squamous cell carcinoma, adenocarcinoma and inflammatory pseudotumor, and their values in differential diagnosis of peripheral lung cancer and inflammatory pseudotumor were evaluated.Results:
There were significant differences of PF and TTP among squamous cell carcinoma, adenocarcinoma and inflammatory pseudotumor (all P<0.01), also of PF, TLP and TTP between inflammatory pseudotumors and peripheral lung cancer (all P<0.01). AUC of TTP was 0.99 (P<0.01), which had high diagnostic value. Taken TTP=16.3 s as the critical value, the sensitivity and specificity in predicting inflammatory pseudotumors and peripheral lung cancer was 100% and 95.0%, respectively. AUC of PF and TLP was 0.76 (P<0.01) and 0.71 (P<0.01), respectively, which had moderate diagnostic value.Conclusion:
Inflammatory pseudotumor and peripheral lung cancer both have pulmonary artery and bronchial artery blood supply. TTP is helpful to differential diagnosis of inflammatory pseudotumor and peripheral lung cancer.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Tipo de estudio:
Estudio diagnóstico
Idioma:
Chino
Revista:
Chinese Journal of Medical Imaging Technology
Año:
2019
Tipo del documento:
Artículo
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