To investigate the value of total tumor perfusion parameters in the diagnosis of benign and malignant solitary nodes in the lung with 320-row volume CT single and dual-input technique
and to explore the diagnostic threshold.
Methods:
A prospective perfusion scan was performed on the isolated lung lesions in Honghe Prefecture Third Peoples Hospital from Sep. 2016 to Oct. 2017. All data were post-processed by Vital workstations
all obtained under dual input mode (DI-CTP): bronchial artery blood flow (AF)
pulmonary blood flow (PF)
pulmonary perfusion index [PI; PI=PF/(AF+PF)
]
; under single input mode (SI-CTP): equivalent blood volume (E.BV)
blood flow extraction function (FE)
single-input arterial blood flow (S-AF). All data were statistically analyzed using SPSS 19.0 statistical software.
Results:
① There were significant differences in AF
PI
E.BV
FE and S-AF between benign and malignant lesions in the lung. ② The area under curve (AUC) of the receiver operatingcharacteristic (ROC) curve of the whole tumor perfusion parameters of benign and malignant lesions in the lung were: AF
0.771; E.BV
0.906; FE
0.772; S-AF
0.775; PI
0.889
and E.BV>PI>S-AF>FE>AF. The diagnostic threshold
sensitivity
specificity of E.BV were 5.00 mL/100 mL
0.909
0.857
respectively. The diagnostic threshold
sensitivity and specificity of PI were 43.24%
0.905
0.121
respectively. The diagnostic threshold
sensitivity and specificity of S-AF were 69.65 mL/(100 mLmin)
1.000
0.714
respectively. The diagnostic threshold
sensitivity and specificity of FE were 39.85 mL/(100 mLmin)
0.636
1.000
respectively. The diagnostic threshold
sensitivity and specificity of AF were 54.20 mL/(100 mLmin)
0.879
0.667
respectively. ③ Multiparameter combination
combined with morphological diagnosis positive prediction values reached 93.97%
negative prediction values reached 95.24%
diagnosis efficiency is significantly higher than
simple morphological diagnosis and single parameter diagnosis.
Conclusion:
The 320-volume CT total tumor perfusion parameters have practical application value in the identification of isolated benign and malignant lesions in the lung
and it is of great help. Among the multiple parameters
the diagnostic performance of PI
E.BV and FE is outstanding. Multi-parameter combination
combined with traditional morphological diagnosis
can achieve higher diagnostic compliance rates. The diagnostic boundary value of each parameter has yet to be explored