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Shi Z, Zhang M, Fan H, Chen Y, Dong S, Zhou F, Wang B, Liu J, Jin J, Luo Y, Chen Q, Wang W, Zhang C, Chen Y. The marine Penicillium sp. GGF16-1-2 metabolite dicitrinone G inhibits pancreatic angiogenesis by regulating the activation of NLRP3 inflammasome. J Nat Med 2024; 78:78-90. [PMID: 37897512 DOI: 10.1007/s11418-023-01749-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 08/24/2023] [Indexed: 10/30/2023]
Abstract
Citrinin derivatives have been found to have various pharmacological activities, such as anti-inflammatory, anti-tumor, and antioxidant effects. Dicitrinone G (DG) was a new citrinin dimer isolated from marine-derived fungus Penicillium sp. GGF 16-1-2 which has potential activity. Here, we aim to investigate whether DG has anti-pancreatic cancer activity. In xenograft tumor model, 2 × 106 BXPC-3 cells were injected into the hind flank of NU/NU nude mice by subcutaneously for 2 weeks followed by treating with DG (0.25, 0.5, 1 mg/kg) and 5-FU (30 mg/kg) for 4 weeks. Tumor volume and weight were measured, and the expression of CD31, IL-18, NLRP3, and Caspase-1 in tumor tissue were detected. In vitro, HUVECs were treated with conditioned medium (CM) derived from BXPC-3 cells, the effects of DG on angiogenesis were detected by tube formation and western blot analysis. In vivo studies showed that the tumor growth and angiogenesis were greatly suppressed. The tumor weight inhibition rates of DG and 5-FU groups were about 42.36%, 38.94%, 43.80%, and 31.88%. Furthermore, the expression of CD31 and Caspase-1 were decreased. In vitro, CM derived from BXPC-3 cells which treated with DG could inhibit the tube formation and expression of pro-angiogenic NICD in HUVECs. Our study suggests that DG could suppress angiogenesis via the NLRP3/IL-18 pathway and may have the potential to inhibit tumor development.
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Affiliation(s)
- Zhimian Shi
- School of Pharmaceutical Sciences, Guangzhou Higher Education Mega Center, Guangzhou University of Chinese Medicine, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
- Guangdong Key Laboratory of TCM Pathogenesis and Prescriptions Realted to Heart and Spleen, Guangzhou Higher Education Mega Center, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
| | - Minyi Zhang
- School of Pharmaceutical Sciences, Guangzhou Higher Education Mega Center, Guangzhou University of Chinese Medicine, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
- Guangdong Key Laboratory of TCM Pathogenesis and Prescriptions Realted to Heart and Spleen, Guangzhou Higher Education Mega Center, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
| | - Hao Fan
- School of Pharmaceutical Sciences, Guangzhou Higher Education Mega Center, Guangzhou University of Chinese Medicine, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
| | - Yijun Chen
- School of Pharmaceutical Sciences, Guangzhou Higher Education Mega Center, Guangzhou University of Chinese Medicine, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
- Guangdong Key Laboratory of TCM Pathogenesis and Prescriptions Realted to Heart and Spleen, Guangzhou Higher Education Mega Center, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
| | - Su Dong
- Department of Pharmacy, People's Hospital of Dongxihu District, Wuhan, 430040, Hubei, China
| | - Fengguo Zhou
- School of Pharmaceutical Sciences, Guangzhou Higher Education Mega Center, Guangzhou University of Chinese Medicine, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
| | - Bin Wang
- Department of Cardiovascular Ultrasound, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Jingya Liu
- School of Pharmaceutical Sciences, Guangzhou Higher Education Mega Center, Guangzhou University of Chinese Medicine, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
| | - Jiaqi Jin
- School of Pharmaceutical Sciences, Guangzhou Higher Education Mega Center, Guangzhou University of Chinese Medicine, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
| | - Yong Luo
- School of Pharmaceutical Sciences, Guangzhou Higher Education Mega Center, Guangzhou University of Chinese Medicine, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
- Guangdong Key Laboratory of TCM Pathogenesis and Prescriptions Realted to Heart and Spleen, Guangzhou Higher Education Mega Center, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
| | - Qiuhe Chen
- School of Pharmaceutical Sciences, Guangzhou Higher Education Mega Center, Guangzhou University of Chinese Medicine, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
- Guangdong Key Laboratory of TCM Pathogenesis and Prescriptions Realted to Heart and Spleen, Guangzhou Higher Education Mega Center, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China
| | - Wei Wang
- School of Pharmaceutical Sciences, Guangzhou Higher Education Mega Center, Guangzhou University of Chinese Medicine, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China.
- Guangdong Key Laboratory of TCM Pathogenesis and Prescriptions Realted to Heart and Spleen, Guangzhou Higher Education Mega Center, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China.
| | - Cuixian Zhang
- School of Pharmaceutical Sciences, Guangzhou Higher Education Mega Center, Guangzhou University of Chinese Medicine, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China.
| | - Yang Chen
- School of Pharmaceutical Sciences, Guangzhou Higher Education Mega Center, Guangzhou University of Chinese Medicine, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China.
- Guangdong Key Laboratory of TCM Pathogenesis and Prescriptions Realted to Heart and Spleen, Guangzhou Higher Education Mega Center, 232, Waihuan East Road, Panyu, Guangzhou, 510000, China.
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Yan G, Li H, Fan X, Deng J, Yan J, Qiao F, Yan G, Liu T, Chen J, Wang L, Yang Y, Li Y, Zhao L, Bhetuwal A, McClure MA, Li N, Peng C. Multimodality CT imaging contributes to improving the diagnostic accuracy of solitary pulmonary nodules: a multi-institutional and prospective study. Radiol Oncol 2023; 57:20-34. [PMID: 36795007 PMCID: PMC10039475 DOI: 10.2478/raon-2023-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 12/05/2022] [Indexed: 02/17/2023] Open
Abstract
BACKGROUND Solitary pulmonary nodules (SPNs) are one of the most common chest computed tomography (CT) abnormalities clinically. We aimed to investigate the value of non-contrast enhanced CT (NECT), contrast enhanced CT (CECT), CT perfusion imaging (CTPI), and dual- energy CT (DECT) used for differentiating benign and malignant SPNs with a multi-institutional and prospective study. PATIENTS AND METHODS Patients with 285 SPNs were scanned with NECT, CECT, CTPI and DECT. Differences between the benign and malignant SPNs on NECT, CECT, CTPI, and DECT used separately (NECT combined with CECT, DECT, and CTPI were methods of A, B, and C) or in combination (Method A + B, A + C, B + C, and A + B + C) were compared by receiver operating characteristic curve analysis. RESULTS Multimodality CT imaging showed higher performances (sensitivities of 92.81% to 97.60%, specificities of 74.58% to 88.14%, and accuracies of 86.32% to 93.68%) than those of single modality CT imaging (sensitivities of 83.23% to 85.63%, specificities of 63.56% to 67.80%, and accuracies of 75.09% to 78.25%, all p < 0.05). CONCLUSIONS SPNs evaluated with multimodality CT imaging contributes to improving the diagnostic accuracy of benign and malignant SPNs. NECT helps to locate and evaluate the morphological characteristics of SPNs. CECT helps to evaluate the vascularity of SPNs. CTPI using parameter of permeability surface and DECT using parameter of normalized iodine concentration at the venous phase both are helpful for improving the diagnostic performance.
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Affiliation(s)
- Gaowu Yan
- Department of Radiology, Suining Central Hospital, Suining, China
| | - Hongwei Li
- Department of Radiology, The Third Hospital of Mianyang and Sichuan Mental Health Center, Mianyang, China
| | - Xiaoping Fan
- Department of Radiology, Suining Central Hospital, Suining, China
| | - Jiantao Deng
- Department of Radiology, Suining Central Hospital, Suining, China
| | - Jing Yan
- Department of Radiology, Suining Central Hospital, Suining, China
| | - Fei Qiao
- Department of CT and MRI, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, China
| | - Gaowen Yan
- Department of Radiology, The First People's Hospital of Suining, Suining, China
| | - Tao Liu
- Department of Radiology, Suining Central Hospital, Suining, China
| | - Jiankang Chen
- Department of Radiology, Suining Central Hospital, Suining, China
| | - Lei Wang
- Department of Radiology, Suining Central Hospital, Suining, China
| | - Yang Yang
- Department of Radiology, Suining Central Hospital, Suining, China
| | - Yong Li
- Department of Radiology, Suining Central Hospital, Suining, China
| | - Linwei Zhao
- Department of Radiology, Suining Central Hospital, Suining, China
| | - Anup Bhetuwal
- Sichuan Key Laboratory of Medical Imaging and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Morgan A McClure
- Department of Radiology and Imaging; Institute of Rehabilitation and Development of Brain Function, The Second Clinical Medical College of North Sichuan Medical College Nanchong Central Hospital, Nanchong, China
| | - Na Li
- Department of Oncology, Suining Central Hospital, Suining, China
| | - Chen Peng
- Department of Gastroenterology, The First People's Hospital of Suining, Suining, China
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Ren L, Yang Y. Value of dual-source CT dual-energy parameters combined with serum detection of VEGF and CEA in the diagnosis of early lung cancer. Biotechnol Genet Eng Rev 2023:1-12. [PMID: 36658729 DOI: 10.1080/02648725.2023.2166708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 01/05/2023] [Indexed: 01/21/2023]
Abstract
To discuss the value of dual-source CT dual-energy parameters combined with serum detection of vascular endothelial growth factor (VEGF) and carcinoembryonic antigen (CEA) in the diagnosis of early lung cancer (LC). In total, 100 patients with lung lesions in our hospital from January 2020 to January 2022 were selected for retrospective study, and were divided into the lung cancer group (group A) and benign lung disease group (group B) according to the final results of pathological diagnosis, using dual-source CT dual-energy scanning combined with serum detection of VEGF and CEA to analyze the diagnostic values of single detection and combined detection. Among the 100 patients with lung lesions, there were 58 patients with LC and 42 patients with benign lung diseases after pathological examination, with no statistical difference in normalized iodine concentration (NIC) and the increased value of iodine at arterial phase between the two groups (P > 0.05). The NIC value of group A was higher than group B at venous phase (P < 0.05). The serum levels of VEGF and CEA in group A were higher than group B (P < 0.05). The area under the curve, specificity, sensitivity, Youden index and 95% CI of combined diagnosis were higher than single detection of NIC, VEGF and CEA at venous phase. The combined application of dual-source CT dual-energy parameters and serum detection of VEGF and CEA has higher diagnostic value in patients with early LC, which can provide effective reference for clinical diagnosis and treatment, with higher application value in clinic.
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Affiliation(s)
- Liliang Ren
- Imaging Department, Yantai Mountain Hospital, Yantai, Shandong, China
| | - Yulong Yang
- Department of Respiratory and Critical Care Medicine, Hebei Yanda Hospital, Langfang, Hebei, China
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Radiomic Analysis of Pulmonary Nodules for Distinguishing Malignancy From Benignancy: The Value of Using Iodine Maps From Dual-Energy Computed Tomography. J Comput Assist Tomogr 2022; 46:878-883. [PMID: 35830384 DOI: 10.1097/rct.0000000000001360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The aim of the study is to investigate the diagnostic accuracy of radiomics on iodine maps from dual-energy computed tomography (DECT) in distinguishing lung cancer from benign pulmonary nodules. METHODS This retrospective study was approved by the institutional review board, and written informed consent was waived. A total of 109 patients with 55 malignant nodules and 62 benign nodules underwent contrast-enhanced DECT. Eight iodine uptake parameters on iodine maps generated by DECT were calculated and established a predictive model. Eighty-seven radiomics features of entire tumor were extracted from iodine maps and established a radiomics model. The iodine uptake model and radiomics model were independently built based on the highly reproducible features using the least absolute shrinkage and selection operator method. The diagnostic accuracy of 2 models were assessed using receiver operating curve analysis. For external validation, 47 patients (25 benign and 22 malignant) from another hospital were assigned to testing data set. RESULTS All iodine uptake features showed significant association with malignancy (P < 0.01) and 2 selected features (mean value of virtual noncontrast images and mean value of vital part on contrast-enhanced image) constituted the iodine model. The radiomics model comprised 2 features (original shape sphericity and original glszm small area high gray level emphasis), which showed good discrimination both in the training cohort (area under the curve, 0.957) and validation cohort (area under the curve, 0.800). Radiomics model showed superior performance than iodine uptake model (accuracy, 89.7% vs 80.6%). CONCLUSIONS Radiomics model extracted from iodine maps provided a robust diagnostic tool for discriminating pulmonary malignant nodules and had high potential in clinical application.
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Differential Diagnosis of Preinvasive Lesions in Small Pulmonary Nodules by Dual Source Computed Tomography Imaging. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:6255024. [PMID: 35832127 PMCID: PMC9273420 DOI: 10.1155/2022/6255024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 06/09/2022] [Accepted: 06/11/2022] [Indexed: 12/02/2022]
Abstract
This study was aimed to explore the differential diagnosis value of preinvasive lesions/minimally invasive adenocarcinoma and invasive adenocarcinoma manifesting as small pulmonary nodules under dual source computed tomography (DSCT) imaging. The patients with nodular manifestations of adenocarcinoma in situ (AIS)/microinfiltrating adenocarcinoma (MIA) were selected as group X, including 14 cases. A total of 31 cases with nodular infiltrating adenocarcinoma were selected as group Y. The enhanced dual-energy image obtained by DSCT dual-energy scan was transferred to the software to obtain the energy image and iodine distribution map. SPSS 18.0 was used for statistical analysis. P < 0.05 was considered statistically significant. All measurements were labeled as mean x͞±S standard deviation. In the CT findings of microinfiltrating adenocarcinoma and infiltrating adenocarcinoma, lobulation sign, burr sign, vacuole sign, and pleural depression sign can help the diagnosis of infiltrating adenocarcinoma. The results showed that lobulation sign, burr sign, vacuole sign, and pleural depression sign could be used as the distinguishing feature of preinvasive lesion/microinvasive adenocarcinoma and invasive adenocarcinoma. Receiver-operating characteristic (ROC) curve analysis showed that the critical value, sensitivity, and specificity of lesion diameter ≥1.4 cm and CT value ≥14.14HU for diagnosis of invasive lung adenocarcinoma were 1.32 and 14.14, 88.4% and 94.4%, and 67.3% and 75.8%, respectively. There were substantial differences in CT values between the two groups under low energy level (42-99 kev) (P < 0.05). DSCT dual-energy imaging can quantitatively identify preinvasive pulmonary nodules with multiple parameters.
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Jiang L, Liu D, Long L, Chen J, Lan X, Zhang J. Dual-source dual-energy computed tomography-derived quantitative parameters combined with machine learning for the differential diagnosis of benign and malignant thyroid nodules. Quant Imaging Med Surg 2022; 12:967-978. [PMID: 35111598 DOI: 10.21037/qims-21-501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 08/12/2021] [Indexed: 01/05/2023]
Abstract
Background This study aimed to investigate the ability of quantitative parameter-derived dual-source dual-energy computed tomography (DS-DECT) combined with machine learning to distinguish between benign and malignant thyroid nodules. Methods Patients with thyroid nodules and pathological surgical results who underwent preoperative DS-DECT were selected. Quantitative parameter-derived DS-DECT was applied to classify benign and malignant nodules. Then, machine learning and binary logistic regression analysis models were constructed using the DS-DECT quantitative parameters to distinguish between benign and malignant nodules. The receiver operating characteristic curve was used to assess the diagnostic performance. The DeLong test was used to compare the diagnostic efficacy. Results One hundred and thirty patients with 139 confirmed thyroid nodules were involved in the study. The malignant group had a significantly higher iodine concentrationnodule (arterial phase) (P=0.001), normalized iodine concentration (arterial phase) (P=0.002), iodine concentration difference (P<0.001), spectral curve slope (nonenhancement) (P=0.007), spectral curve slope (arterial phase) (P=0.001), effective atomic number (nonenhancement) (P<0.001), and effective atomic number (arterial phase) (P=0.039) than the benign group. The binary logistic regression analysis model had an AUC (area under the curve) of 0.76, a sensitivity of 0.821, and a specificity of 0.667. The machine learning model had an AUC of 0.86, a sensitivity of 0.822, specificity of 0.791 in the training cohort, an AUC of 0.84, a sensitivity of 0.727, and specificity of 0.750 in the testing cohort. Conclusions Multiple quantitative parameters of DS-DECT combined with machine learning could differentiate between benign and malignant thyroid nodules.
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Affiliation(s)
- Liling Jiang
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.,Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Daihong Liu
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.,Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Ling Long
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.,Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Jiao Chen
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.,Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Xiaosong Lan
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.,Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Jiuquan Zhang
- Department of Radiology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China.,Chongqing Cancer Multi-omics Big Data Application Engineering Research Center, Chongqing University Cancer Hospital, Chongqing, China
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Zou M, Zhao Z, Zhang B, Mao H, Huang Y, Wang C. Pulmonary lesions: correlative study of dynamic triple-phase enhanced CT perfusion imaging with tumor angiogenesis and vascular endothelial growth factor expression. BMC Med Imaging 2021; 21:158. [PMID: 34717573 PMCID: PMC8556962 DOI: 10.1186/s12880-021-00692-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 10/21/2021] [Indexed: 11/10/2022] Open
Abstract
Background To investigate value of the quantitative perfusion parameters of dynamic triple-phase enhanced CT in differential diagnosis of pulmonary lesions, and explore the correlation between perfusion parameters of lung cancer with microvessel density (MVD) and vascular endothelial growth factor (VEGF). Methods 73 consecutive patients with lung lesions who successfully underwent pre-operative CT perfusion examination with dynamic triple-phase enhanced CT and received a final diagnosis by postoperative pathology or a clinical follow-up. The cases were divided into malignant and benign groups according to the pathological results. CT perfusion parameters, such as Median, Mean, Standard deviation (Std), Q10, Q25, Q50, Q75, Q90 of pulmonary artery perfusion (PAP), bronchial artery perfusion (BAP), perfusion index (PI) and arterial enhancement fraction (AEF) were obtained by performing computed tomography perfusion imaging (CTPI). Computed tomography perfusion (CTP) parameters were compared between malignant and benign lesions. The receiver operating characteristic (ROC) curve was used to assess the diagnostic efficiency of CTP parameters in diagnosing malignant lesions. The correlations between CTP parameters with MVD and VEGF were analysed in 36 lung cancer patients who had extra sections be used for immunohistochemistry staining of CD34 and VEGF. Results BAP (Mean, Std, Q90) and PI Std of benign lesions were higher than malignant lesions (p < 0.05), and PAP (Q10, Q25), PI (Median, Mean, Q10, Q25, Q50) of malignant lesions were higher than the benign (p < 0.05). The area under the ROC curve of PI Mean, PI Q10 and PI Std was 0.722 (95% CI = [0.595–0.845]), 0.728 (95% CI = [0.612–0.844]) and 0.717 (95% CI = [0.598–0.835]) respectively. Partial perfusion parameters of BAP and AEF Q10 were positively correlated with MVD (p value range is < 0.001–0.037, ρ value range is 0.483–0.683), and partial perfusion parameters of PI were negatively correlated with MVD (p value range is 0.001–0.041,ρvalue range is − 0.523–− 0.343). Partial perfusion parameters of BAP and AEF Q10 were positively correlated with VEGF (p value range is 0.001–0.016, ρvalue range is 0.398–0.570), meanwhile some perfusion parameters of PAP and PI were negatively correlated with VEGF (p value range is 0.001–0.040, ρ value range is − 0.657–0.343). Conclusions Quantitative parameters of dynamic triple-phase enhanced CT can provide diagnostic basis for the differentiation of lung lesions, and there were connection with tumor angiogenesis and vascular endothelial growth factor expression.
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Affiliation(s)
- Mingyue Zou
- Department of Radiology, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, 312000, China
| | - Zhenhua Zhao
- Department of Radiology, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, 312000, China.
| | - Bingqian Zhang
- Department of Radiology, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, 312000, China
| | - Haijia Mao
- Department of Radiology, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, 312000, China
| | - Yanan Huang
- Department of Radiology, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, 312000, China
| | - Cheng Wang
- Department of Pathology, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, 312000, China
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Zhu B, Zheng S, Jiang T, Hu B. Evaluation of dual-energy and perfusion CT parameters for diagnosing solitary pulmonary nodules. Thorac Cancer 2021; 12:2691-2697. [PMID: 34409741 PMCID: PMC8520802 DOI: 10.1111/1759-7714.14105] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 07/26/2021] [Accepted: 07/27/2021] [Indexed: 12/17/2022] Open
Abstract
Background To evaluate the correlation and accuracy of dual‐energy CT (DECT) (70/Sn150) and low‐dose volume perfusion CT (VPCT) parameters for the diagnosis of solitary pulmonary nodules (SPN). Methods A total of 15 patients with benign SPN (mean age 56 ± 7 years) and 34 patients with malignant SPN and clinical indication for surgery (mean age 58 ± 6 years) were enrolled from July 2017 to September 2019 at a single institution. All the patients underwent low‐dose VPCT with a scan volume of 114 mm on the z‐axis and a venous phase enhancement DECT (70/150 Sn) scan just before surgery on the same day. All CT findings were studied in comparison with the pathological results after surgery. Perfusion and dual‐energy CT parameters such as blood flow (BF), blood volume (BV), mean transit time (MTT), flow extraction product (FED), pulmonary nodule enhancement peak (PPnod) and iodine concentration (IC) were evaluated as well as t‐test, chi‐square test, Pearson correlation analysis, and ROC curve analysis to determine the significance of study parameters. Results The effective radiation dosage of the VPCT and DECT scans were 4.67 ± 0.26 mSv and 0.32 ± 0.10 mSv, respectively. Significant correlations were found between iodine concentration from DECT and VPCT parameters (r = 0.376–0.533, p < 0.05). The sensitivity and specificity of IC to differentiate the SPN were 86.67% and 72.73%, which was slightly lower than that of BV (94.44%, 73.33%), FED (88.89%, 80.00%) and PPnod (94.44%, 80.00%). Conclusions VPCT scans have low radiation dosage achieved by shortening the z‐axis scan range for assessment of SPN. IC from DECT is significantly correlated with VPCT parameters, and VPCT parameters have better diagnostic performance for SPN than DECT parameters.
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Affiliation(s)
- Beilin Zhu
- Beijing Chaoyang Hospital affiliated to Capital Medical University, Beijing, China
| | - Shuo Zheng
- Beijing Chaoyang Hospital affiliated to Capital Medical University, Beijing, China
| | - Tao Jiang
- Beijing Chaoyang Hospital affiliated to Capital Medical University, Beijing, China
| | - Bin Hu
- Beijing Chaoyang Hospital affiliated to Capital Medical University, Beijing, China
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Plaksin SA. [Diagnosis and treatment of benign lung tumors]. Khirurgiia (Mosk) 2021:106-111. [PMID: 34029044 DOI: 10.17116/hirurgia2021061106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Benign lung tumors account 2-12% of all lung neoplasms. The classification of lung tumors, adopted by the World Health Organization in 2015, is reported with a detailed indication of all changes based on immunohistochemical and genetic studies. Diagnosis with computed tomography, dynamic and perfusion computed tomography, virtual bronchoscopy and positron emission tomography is described. These methods ensure 94-98% sensitivity for differentiation with malignancies. CT and ultrasound signs of benign tumors are presented. Surgical strategy for newly diagnosed nodes in the lungs is analyzed depending on their dimensions and risk factors. It was shown that comprehensive examination with possible surgical verification of the diagnosis is necessary for nodes over 6 mm and moderate-to-high risk factors. The authors describe argon plasma and laser destruction, bronchoplastic procedures for central benign tumors, thoracoscopy for peripheral neoplasms. One can conclude that high-tech methods of radiological and nuclear diagnosis are valuable to determine benign neoplasms and their dimensions with a high degree of reliability. Endoscopic and thoracoscopic procedures are successfully used for benign tumors.
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Affiliation(s)
- S A Plaksin
- Vagner Perm State Medical University, Perm, Russia
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Reproducibility of Computed Tomography perfusion parameters in hepatic multicentre study in patients with colorectal cancer. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2020.102298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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A novel application of pulmonary transit time to differentiate between benign and malignant pulmonary nodules using myocardial contrast echocardiography. Int J Cardiovasc Imaging 2020; 37:1215-1223. [PMID: 33231789 DOI: 10.1007/s10554-020-02104-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 11/08/2020] [Indexed: 10/22/2022]
Abstract
Malignant pulmonary nodules (PNs) are often accompanied by vascular dilatation and structural abnormalities. Pulmonary transit time (PTT) measurement by contrast echocardiograghy has used to assess the cardiopulmonary function and pulmonary vascular status, such as hepatopulmonary syndrome and pulmonary arteriovenous fistula, but has not yet been attempted in the diagnosis and differential diagnosis of PNs. The aim of this work was to evaluate the feasibility and performance of myocardial contrast echocardiography (MCE) for differentiating malignant PNs from benign ones. The study population consisted of 201 participant: 66 healthy participants, 65 patients with benign PNs and 70 patients with malignant PNs. Their clinical and conventional echocardiographic characteristics were collected. MCE with measurements of PTT were performed. There was no difference in age, sex, heart rate, blood pressure, smoking rate, background lung disease, pulmonary function, ECG, myocardial enzymes, cardiac size and function among the healthy participant, patients with benign and malignant PNs (P > 0.05). PTT did not differ significantly in patients with PNs of different sizes, nor did they differ in patients with PNs of different enhancement patterns (P > 0.05). However, the PTT were far shorter (about one half) in patients with malignant PNs than in patients with benign ones (1.88 ± 0.37 vs. 3.73 ± 0.35, P < 0.001). There was no significantly different between patients with benign PNs and healthy participant (3.73 ± 0.35 vs.3.89 ± 0.36, P > 0.05). The area under the receiver operating characteristics curve (AUC) of PTT was 0.99(0.978-1.009) in discriminating between benign and malignant PNs. The optimal cutoff value was 2.78 s, with a sensitivity of 98.52%, a specificity of 97.34%, and a accuracy of 97.69%. MCE had a powerful performance in differentiating between benign and malignant PNs, and a pulmonary circulation time of < 2.78 s indicated malignant PNs.
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Huang T, Sun H, Luo X, Zhang X, Jin K, Wang F, Sun L, Cheng N, Wu S, Lou Q, Li B. Correlation study between flash dual source CT perfusion imaging and regional lymph node metastasis of non-small cell lung cancer. BMC Cancer 2020; 20:547. [PMID: 32532248 PMCID: PMC7291763 DOI: 10.1186/s12885-020-07032-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 06/03/2020] [Indexed: 01/06/2023] Open
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.
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Affiliation(s)
- Tingting Huang
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China.,Department of Radiology, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang Province, China
| | - Hui Sun
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China.,Department of Radiology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China
| | - Xianli Luo
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Xuemei Zhang
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China.,Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province, China
| | - Kaiyuan Jin
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Feng Wang
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Lv Sun
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Nianlan Cheng
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Shuo Wu
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Qin Lou
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China
| | - Bangguo Li
- Department of Radiology, Affiliated Hospital of Zunyi Medical University, No.149, Dalian Road, Zunyi City, Guizhou Province, China.
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Li S, Zhang Q, Hong Y. Tumor Vessel Normalization: A Window to Enhancing Cancer Immunotherapy. Technol Cancer Res Treat 2020; 19:1533033820980116. [PMID: 33287656 PMCID: PMC7727091 DOI: 10.1177/1533033820980116] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 09/13/2020] [Accepted: 10/30/2020] [Indexed: 01/05/2023] Open
Abstract
Hostile microenvironment produced by abnormal blood vessels, which is characterized by hypoxia, low pH value and increasing interstitial fluid pressure, would facilitate tumor progression, metastasis, immunosuppression and anticancer treatments resistance. These abnormalities are the result of the imbalance of pro-angiogenic and anti-angiogenic factors (such as VEGF and angiopoietin 2, ANG2). Prudent use of anti-angiogenesis drugs would normalize these aberrant tumor vessels, resulting in a transient window of vessel normalization. In addition, use of cancer immunotherapy including immune checkpoint blockers when vessel normalization is achieved brings better outcomes. In this review, we sum up the advances in the field of understanding and application of the concept of tumor vessels normalization window to treat cancer. Moreover, we also outline some challenges and opportunities ahead to optimize the combination of anti-angiogenic agents and immunotherapy, leading to improve patients' outcomes.
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Affiliation(s)
- Sai Li
- Department of gynecologic oncology, Women’s hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qi Zhang
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yupeng Hong
- Department of Oncology, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou, China
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