Correlation study between flash dual source CT perfusion imaging and regional lymph node metastasis of non-small cell lung cancer

Abstract Background 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. Metho...

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Main Authors: Tingting Huang, Hui Sun, Xianli Luo, Xuemei Zhang, Kaiyuan Jin, Feng Wang, Lv Sun, Nianlan Cheng, Shuo Wu, Qin Lou, Bangguo Li
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Cancer
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12885-020-07032-8
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spelling doaj-64fb8f5cb92a4bc790f1e71e4a02586b2020-11-25T02:40:36ZengBMCBMC Cancer1471-24072020-06-012011810.1186/s12885-020-07032-8Correlation study between flash dual source CT perfusion imaging and regional lymph node metastasis of non-small cell lung cancerTingting Huang0Hui Sun1Xianli Luo2Xuemei Zhang3Kaiyuan Jin4Feng Wang5Lv Sun6Nianlan Cheng7Shuo Wu8Qin Lou9Bangguo Li10Department of Radiology, Affiliated Hospital of Zunyi Medical UniversityDepartment of Radiology, Affiliated Hospital of Zunyi Medical UniversityDepartment of Radiology, Affiliated Hospital of Zunyi Medical UniversityDepartment of Radiology, Affiliated Hospital of Zunyi Medical UniversityDepartment of Radiology, Affiliated Hospital of Zunyi Medical UniversityDepartment of Radiology, Affiliated Hospital of Zunyi Medical UniversityDepartment of Radiology, Affiliated Hospital of Zunyi Medical UniversityDepartment of Radiology, Affiliated Hospital of Zunyi Medical UniversityDepartment of Radiology, Affiliated Hospital of Zunyi Medical UniversityDepartment of Radiology, Affiliated Hospital of Zunyi Medical UniversityDepartment of Radiology, Affiliated Hospital of Zunyi Medical UniversityAbstract Background 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. Methods 120 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. Results Group 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. Conclusion Flash 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.http://link.springer.com/article/10.1186/s12885-020-07032-8Non-small lung cancerLymph node metastasisComputed tomography perfusion imagingMicrovessel densityLuminal vessels
collection DOAJ
language English
format Article
sources DOAJ
author Tingting Huang
Hui Sun
Xianli Luo
Xuemei Zhang
Kaiyuan Jin
Feng Wang
Lv Sun
Nianlan Cheng
Shuo Wu
Qin Lou
Bangguo Li
spellingShingle Tingting Huang
Hui Sun
Xianli Luo
Xuemei Zhang
Kaiyuan Jin
Feng Wang
Lv Sun
Nianlan Cheng
Shuo Wu
Qin Lou
Bangguo Li
Correlation study between flash dual source CT perfusion imaging and regional lymph node metastasis of non-small cell lung cancer
BMC Cancer
Non-small lung cancer
Lymph node metastasis
Computed tomography perfusion imaging
Microvessel density
Luminal vessels
author_facet Tingting Huang
Hui Sun
Xianli Luo
Xuemei Zhang
Kaiyuan Jin
Feng Wang
Lv Sun
Nianlan Cheng
Shuo Wu
Qin Lou
Bangguo Li
author_sort Tingting Huang
title Correlation study between flash dual source CT perfusion imaging and regional lymph node metastasis of non-small cell lung cancer
title_short Correlation study between flash dual source CT perfusion imaging and regional lymph node metastasis of non-small cell lung cancer
title_full Correlation study between flash dual source CT perfusion imaging and regional lymph node metastasis of non-small cell lung cancer
title_fullStr Correlation study between flash dual source CT perfusion imaging and regional lymph node metastasis of non-small cell lung cancer
title_full_unstemmed Correlation study between flash dual source CT perfusion imaging and regional lymph node metastasis of non-small cell lung cancer
title_sort correlation study between flash dual source ct perfusion imaging and regional lymph node metastasis of non-small cell lung cancer
publisher BMC
series BMC Cancer
issn 1471-2407
publishDate 2020-06-01
description Abstract Background 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. Methods 120 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. Results Group 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. Conclusion Flash 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.
topic Non-small lung cancer
Lymph node metastasis
Computed tomography perfusion imaging
Microvessel density
Luminal vessels
url http://link.springer.com/article/10.1186/s12885-020-07032-8
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