Abstract

BackgroundTo explore the correlation of flash dual source computed tomography perfusion imaging (CTPI) and regional lymph node metastasis of non-small cell lung cancer (NSCLC), and to evaluate the value of CT perfusion parameters in predicting regional lymph node metastasis of NSCLC.Methods120 consecutive patients with NSCLC confirmed by postoperative histopathology were underwent flash dual source CT perfusion imaging in pre-operation. The CT perfusion parameters of NSCLC, such as blood flow (BF), blood volume (BV), mean transit time (MTT) and permeability (PMB) were obtained by the image post-processing. Then microvessel density (MVD), luminal vascular number (LVN), luminal vascular area (LVA) and luminal vascular perimeter (LVP) of NSCLC were counted by immunohistochemistry. These cases were divided into group A (patients with lymph node metastasis, 58 cases) and group B (patients without lymph node metastasis, 62 cases) according to their pathological results. The CT perfusion parameters and the microvessel parameters were contrastively analysed between the two groups. Receiver operating characteristic (ROC) curve was used to assess the diagnostic efficiency of CT perfusion parameters in predicting regional lymph node metastasis of NSCLC in pre-operation.ResultsGroup A presented significantly lower LVA, BF and higher MTT, PMB than Group B (P < 0.05), while BV, LVN, LVP and MVD were no significant difference (P > 0.05). Correlation analysis showed that BF was correlated with LVA and LVP (P < 0.05), while BV, MTT and PMB were not correlated with LVN, LVA and LVP (P > 0.05). All the perfusion parameters were not correlated with MVD. According to the ROC curve analysis, when BF < 85.16 ml/100 ml/min as a cutoff point to predict regional lymph node metastasis of NSCLC, the sensitivity, specificity, accuracy, positive predictive value and negative predictive value were 60.8, 81.7, 71.5, 75.6 and 69.5% respectively.ConclusionFlash dual source CT perfusion imaging can non-invasively indicate the luminal vascular structure of tumor and BF can be used as one of the important indexes in predicting regional lymph node metastasis of NSCLC in pre-operation.

Highlights

  • To explore the correlation of flash dual source computed tomography perfusion imaging (CTPI) and regional lymph node metastasis of non-small cell lung cancer (NSCLC), and to evaluate the value of Computed tomography (CT) perfusion parameters in predicting regional lymph node metastasis of NSCLC

  • Relationship of CT perfusion parameters with microvessel parameters Correlation analysis showed that blood flow (BF) was correlated with luminal vessels area (LVA) and luminal vessels perimeter (LVP) (r = 0.335, 0.383, respectively; P = 0.031, 0.012, respectively), while blood volume (BV), mean transit time (MTT) and PMB were not correlated with luminal vessels number (LVN), LVA and LVP (P > 0.05)

  • This study showed that the dual source CT perfusion parameters are related to the luminal vascular parameters of NSCLC, while the luminal vascular parameters are related to regional lymph node metastasis of NSCLC, which provides a theoretical basis for the evaluation of regional lymph node metastasis of NSCLC by CT perfusion parameters

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Summary

Introduction

To explore the correlation of flash dual source computed tomography perfusion imaging (CTPI) and regional lymph node metastasis of non-small cell lung cancer (NSCLC), and to evaluate the value of CT perfusion parameters in predicting regional lymph node metastasis of NSCLC. Accurate staging of non-small cell lung cancer (NSCLC) is vital for the prognosis of patients In this process, lymph node metastasis is one of the important factors [2]. This study intends to introduce the LVN, LVA and LVP to analyze the microvascular structure of NSCLC and to make correlation analysis with CT perfusion parameters in order to provide the theoretical basis in studying the CT perfusion imaging characteristics of NSCLC with regional lymph node metastasis, to evaluate better the value of flash dual source CT perfusion parameters in predicting regional lymph node metastasis of NSCLC in pre-operation

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