Correlation study between flash dual source CT perfusion imaging and regional lymph node metastasis of non-small cell lung cancer
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:20 |
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| Enthalten in: |
BMC cancer - 20(2020), 1 vom: 12. Juni, Seite 547 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Huang, Tingting [VerfasserIn] |
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| Links: |
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| Themen: |
Computed tomography perfusion imaging |
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| Anmerkungen: |
Date Completed 11.01.2021 Date Revised 11.01.2021 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1186/s12885-020-07032-8 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM311113877 |
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| 100 | 1 | |a Huang, Tingting |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Correlation study between flash dual source CT perfusion imaging and regional lymph node metastasis of non-small cell lung cancer |
| 264 | 1 | |c 2020 | |
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| 500 | |a Date Revised 11.01.2021 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Observational Study | |
| 650 | 4 | |a Computed tomography perfusion imaging | |
| 650 | 4 | |a Luminal vessels | |
| 650 | 4 | |a Lymph node metastasis | |
| 650 | 4 | |a Microvessel density | |
| 650 | 4 | |a Non-small lung cancer | |
| 700 | 1 | |a Sun, Hui |e verfasserin |4 aut | |
| 700 | 1 | |a Luo, Xianli |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Xuemei |e verfasserin |4 aut | |
| 700 | 1 | |a Jin, Kaiyuan |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Feng |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Lv |e verfasserin |4 aut | |
| 700 | 1 | |a Cheng, Nianlan |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Shuo |e verfasserin |4 aut | |
| 700 | 1 | |a Lou, Qin |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Bangguo |e verfasserin |4 aut | |
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