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Zheng Y, Han N, Huang W, Jiang Y, Zhang J. Evaluating Mediastinal Lymph Node Metastasis of Non-Small Cell Lung Cancer Using Mono-exponential, Bi-exponential, and Stretched-exponential Models of Diffusion-weighted Imaging. J Thorac Imaging 2024; 39:285-292. [PMID: 38153288 DOI: 10.1097/rti.0000000000000771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Abstract
PURPOSE To explore and compare the diagnostic values of mono-exponential, bi-exponential, and stretched-exponential diffusion-weighted imaging (DWI) parameters of primary lesions and lymph nodes (LNs) to predict mediastinal LN metastasis in patients with non-small cell lung cancer. PATIENTS AND METHODS Sixty-one patients with non-small cell lung cancer underwent preoperative magnetic resonance imaging, including multiple b -value DWI. The DWI parameters, including apparent diffusion coefficient (ADC) from a mono-exponential model, true diffusion (D) coefficient, pseudo-diffusion (D*) coefficient, and perfusion fraction (f) from a bi-exponential model, distributed diffusion coefficient (DDC) and intravoxel diffusion heterogeneity index (α) from a stretched-exponential model of primary tumors and LNs and the size characteristics of LNs, were measured and compared. Multivariate logistic regression analysis was used to establish models for predicting mediastinal LN metastasis. Receiver operating characteristic analysis was applied to evaluate diagnostic performances. RESULTS The DWI parameters of primary tumors showed no statistical significance between LN metastasis-positive and LN metastasis-negative groups. Nonmetastatic LNs had significantly higher ADC, D, DDC, and α values compared with metastatic LNs (all P < 0.05). The short-dimension, long-dimension, and short-long dimension ratio of metastatic LNs was significantly larger than those of nonmetastatic ones (all P < 0.05). The D value showed the best diagnostic performance among all DWI-derived single parameters, and the short dimension of LNs performed the same among all the size variables. Furthermore, the combination of DWI parameters (ADC and D) and the short dimension of LNs can significantly improve diagnostic efficiency. CONCLUSIONS The ADC, D, DDC, and α from the mono-exponential, bi-exponential, and stretched-exponential models were demonstrated efficient in differentiating benign from metastatic LNs, and the combination of ADC, D, and short dimension of LNs may have a better diagnostic performance than DWI or size-derived parameters either in combination or individually.
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Affiliation(s)
- Yu Zheng
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
| | - Na Han
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
| | - Wenjing Huang
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
| | - Yanli Jiang
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China
- Second Clinical School, Lanzhou University, Lanzhou, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
| | - Jing Zhang
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, China
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Volumetric analysis of intravoxel incoherent motion diffusion-weighted imaging in preoperative assessment of non-small cell lung cancer. Jpn J Radiol 2022; 40:903-913. [PMID: 35507139 DOI: 10.1007/s11604-022-01279-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 04/05/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE To evaluate the potential of intravoxel incoherent motion (IVIM) and apparent diffusion coefficient (ADC) in the prediction of tumor grade, lymph node metastasis and pleural invasion of non-small cell lung cancer (NSCLC) before surgery. MATERIALS AND METHODS 65 patients diagnosed with NSCLC by surgery were enrolled. IVIM-DWI (10 b-values, 0-1000 s/mm2) was performed before surgery. The mean and minimum ADC (ADCmean, ADCmin) and IVIM parameters D, D* and f were independently measured and calculated by 2 radiologists by drawing regions of interest (ROIs) including the solid component of the whole tumor. Intraclass correlation coefficients (ICCs) were analysed. Spearman analysis was used to determine the correlation between IVIM parameters and tumor differentiation. Independent sample t-tests (normal distribution) or Mann-Whitney U tests (non-normal distribution) were used to compare the differences between the parameters in moderately-well and poorly differentiated groups, with and without lymph node metastasis and pleural invasion groups. Receiver operating characteristic (ROC) curves were generated. RESULTS The ADCmean, ADCmin, D and f values were negatively correlated with the pathological grades of tumor (P < 0.05). The ADCmean and D values of patients with poor differentiation and lymph node metastasis were significantly lower than that of patients with moderately-well differentiation and without lymph node metastasis (P < 0.001-0.012). The D value was significantly lower and f value was significantly higher among patients with pleural invasion than those without (P = 0.033 and < 0.001). ROC analysis showed that the area under the ROC curve (AUC) was larger for D in predicting the degree of differentiation (0.832) and lymph node metastasis (0.806), and higher for f in predicting pleural invasion (0.832). CONCLUSIONS IVIM is useful for predicting the tumor differentiation, lymph node metastasis and pleural invasion in NSCLC patients before surgery.
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Liu Y, Luo H, Wang C, Chen X, Wang M, Zhou P, Ren J. Diagnostic performance of T2-weighted imaging and intravoxel incoherent motion diffusion-weighted MRI for predicting metastatic axillary lymph nodes in T1 and T2 stage breast cancer. Acta Radiol 2022; 63:447-457. [PMID: 33779304 DOI: 10.1177/02841851211002834] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Non-invasive modalities for assessing axillary lymph node (ALN) are needed in clinical practice. PURPOSE To investigate the suspicious ALN on unenhanced T2-weighted (T2W) imaging and intravoxel incoherent motion diffusion-weighted imaging (IVIM DWI) for predicting ALN metastases (ALNM) in patients with T1-T2 stage breast cancer and clinically negative ALN. MATERIAL AND METHODS Two radiologists identified the most suspicious ALN or the largest ALN in negative axilla by T2W imaging features, including short axis (Size-S), long axis (Size-L)/S ratio, fatty hilum, margin, and signal intensity on T2W imaging. The IVIM parameters of these selected ALNs were also obtained. The Mann-Whitney U test or t-test was used to compare the metastatic and non-metastatic ALN groups. Finally, logistic regression analysis with T2W imaging and IVIM features for predicting ALNM was conducted. RESULTS This study included 49 patients with metastatic ALNs and 50 patients with non-metastatic ALNs. Using the above conventional features on T2W imaging, the sensitivity and specificity in predicting ALNM were not high. Compared with non-metastatic ALNs, metastatic ALNs had lower pseudo-diffusion coefficient (D*) (P = 0.043). Logistic regression analysis showed that the most useful features for predicting ALNM were signal intensity and D*. The sensitivity and specificity predicting ALNM that satisfied abnormal signal intensity and lower D* were 73.5% and 84%, respectively. CONCLUSIONS The abnormal signal intensity on T2W imaging and one IVIM feature (D*) were significantly associated with ALNM, with sensitivity of 73.5% and specificity of 84%.
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Affiliation(s)
- Yuanyuan Liu
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Hongbing Luo
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Chunhua Wang
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Xiaoyu Chen
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Min Wang
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Peng Zhou
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
| | - Jing Ren
- Division of Radiology, 92293Sichuan Cancer Hospital and Research Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology, Chengdu 61004, Sichuan, PR China
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Wang D, Qiu B, He H, Yin S, Peng K, Hu N, Guo J, Li Q, Chen N, Chu C, Liu F, Xie CM, Liu H. Tumor response evaluation by combined modalities of chest magnetic resonance imaging and computed tomography in locally advanced non-small cell lung cancer after concurrent chemoradiotherapy. Radiother Oncol 2022; 168:211-220. [DOI: 10.1016/j.radonc.2022.01.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 01/27/2022] [Accepted: 01/31/2022] [Indexed: 11/16/2022]
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Intravoxel incoherent motion magnetic resonance imaging: basic principles and clinical applications. Pol J Radiol 2020; 85:e624-e635. [PMID: 33376564 PMCID: PMC7757509 DOI: 10.5114/pjr.2020.101476] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 06/03/2020] [Indexed: 12/26/2022] Open
Abstract
The purpose of this article was to show basic principles, acquisition, advantages, disadvantages, and clinical applications of intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI). IVIM MRI as a method was introduced in the late 1980s, but recently it started attracting more interest thanks to its applications in many fields, particularly in oncology and neuroradiology. This imaging technique has been developed with the objective of obtaining not only a functional analysis of different organs but also different types of lesions. Among many accessible tools in diagnostic imaging, IVIM MRI aroused the interest of many researchers in terms of studying its applicability in the evaluation of abdominal organs and diseases. The major conclusion of this article is that IVIM MRI seems to be a very auspicious method to investigate the human body, and that nowadays the most promising clinical application for IVIM perfusion MRI is oncology. However, due to lack of standardisation of image acquisition and analysis, further studies are needed to validate this method in clinical practice.
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Bialek EJ, Malkowski B. Is the level of diffusion restriction in celiac and cervico-thoracic sympathetic ganglia helpful in their proper recognition on PSMA ligand PET/MR? Nuklearmedizin 2020; 59:300-307. [PMID: 32005043 DOI: 10.1055/a-1079-3855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
AIM To check if diffusion weighted imaging (DWI) might be helpful in proper recognition of celiac (CG) and cervicothoracic (CTG) sympathetic ganglia on the whole-body multimodal PSMA-ligand PET/MR imaging, in the view of their common misleading avidity on PET potentially suggestive of malignant lesions, including metastatic lymph nodes. METHODS The thickness and the level of diffusion restriction was assessed qualitatively and quantitatively in 406 sympathetic ganglia (189 CTG in 101 males and 217 CG in 116 males) on DWI maps (b-value 0 and 800 s/mm2) and apparent diffusion coefficient (ADC) maps (mean ADC) of the whole-body PET/MR 68Ga-PSMA-11 PET/MR. To form a reference group of a matching ganglia size, the smallest lymph node was chosen from each patient with metastases and underwent the same procedure. RESULTS Very low and low level of diffusion restriction was noted in the majority of sympathetic ganglia (81.0 % CTG, 67.3 % CG, and 73.6 % of all). In the majority (91.7 %) of metastatic lymph nodes the level of diffusion restriction was moderate to high.The mean ADC values in sympathetic ganglia were statistically significantly higher in CTG, CG and all ganglia than in metastatic lymph nodes (p < 0.001; the effect size was large). CONCLUSIONS Sympathetic celiac and cervicothoracic ganglia present very low and low level of diffusion restriction in visual DWI assessment, and significantly higher than metastatic lymph nodes mean ADC values in the majority of cases, which may serve as additional factors aiding differential diagnosis on multimodal PSMA-ligand PET/MR imaging.Therefore, PSMA-ligand PET/MR appears potentially superior to PSMA-ligand PET/CT in proper identification of sympathetic ganglia.
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Affiliation(s)
- Ewa J Bialek
- Department of Nuclear Medicine, The Franciszek Lukaszczyk Oncology Centre, Bydgoszcz, Poland
- Department of Nuclear Medicine, Military Institute of Medicine, Warsaw, Poland
| | - Bogdan Malkowski
- Department of Nuclear Medicine, The Franciszek Lukaszczyk Oncology Centre, Bydgoszcz, Poland
- Department of Positron Emission Tomography and Molecular Diagnostics, Collegium Medicum of Nicolaus Copernicus University, Bydgoszcz, Poland
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Long L, Zhang H, He X, Zhou J, Guo D, Liu X. Value of intravoxel incoherent motion magnetic resonance imaging for differentiating metastatic from nonmetastatic mesorectal lymph nodes with different short-axis diameters in rectal cancer. J Cancer Res Ther 2020; 15:1508-1515. [PMID: 31939430 DOI: 10.4103/jcrt.jcrt_76_19] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background Conventional magnetic resonance imaging (MRI) does not accurately evaluate lymph node (LN) status, which is essential for the treatment and prognosis assessment in patients with rectal cancer. Objective The aim of this study is to evaluate the diagnostic value of intravoxel incoherent motion (IVIM) MRI in differentiating metastatic and nonmetastatic mesorectal LNs with different short-axis diameters in rectal cancer patients. Materials and Methods Forty patients (154 LNs) were divided into three groups based on short-axis diameter: 3 mm ≤ × ≤5 mm, 5 mm < × ≤7 mm, and × >7 mm. MRI characteristics and IVIM parameters were compared between the metastatic and nonmetastatic LNs to determine the diagnostic value for discriminating them. Results In the 3 mm ≤ × ≤ 5 mm group, mean D values were significantly lower in metastatic than in the nonmetastatic LNs (P < 0.001). In the 5 mm < × ≤7 mm group, mean f values were significantly lower in metastatic than nonmetastatic LNs (P < 0.05). In the × >7 mm group, only the short-axis diameter of metastatic LNs was significantly greater than that of nonmetastatic LNs (P < 0.05). The area under the curve, sensitivity, specificity, and cutoff values were used for differentiating the metastatic from the nonmetastatic LNs. Conclusion IVIM parameters can differentiate metastatic from nonmetastatic LNs with smaller short-axis diameters (× ≤7 mm) in rectal cancer, and the short-axis diameter is a significant factor in identifying metastatic and nonmetastatic LNs in larger short-axis diameter groups (× >7 mm).
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Affiliation(s)
- Ling Long
- Department of Radiology, Second Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China
| | - Haiping Zhang
- Department of Radiology, Second Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China
| | - Xiaojing He
- Department of Radiology, Second Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China
| | - Jun Zhou
- Department of Radiology, Second Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China
| | - Dajing Guo
- Department of Radiology, Second Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China
| | - Xinjie Liu
- Department of Radiology, Second Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, China
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Hu YC, Yan LF, Han Y, Duan SJ, Sun Q, Li GF, Wang W, Wei XC, Zheng DD, Cui GB. Can the low and high b-value distribution influence the pseudodiffusion parameter derived from IVIM DWI in normal brain? BMC Med Imaging 2020; 20:14. [PMID: 32041549 PMCID: PMC7011602 DOI: 10.1186/s12880-020-0419-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 01/30/2020] [Indexed: 12/28/2022] Open
Abstract
Background Our study aims to reveal whether the low b-values distribution, high b-values upper limit, and the number of excitation (NEX) influence the accuracy of the intravoxel incoherent motion (IVIM) parameter derived from multi-b-value diffusion-weighted imaging (DWI) in the brain. Methods This prospective study was approved by the local Ethics Committee and informed consent was obtained from each participant. The five consecutive multi-b DWI with different b-value protocols (0–3500 s/mm2) were performed in 22 male healthy volunteers on a 3.0-T MRI system. The IVIM parameters from normal white matter (WM) and gray matter (GM) including slow diffusion coefficient (D), fast perfusion coefficient (D*) and perfusion fraction (f) were compared for differences among defined groups with different IVIM protocols by one-way ANOVA. Results The D* and f value of WM or GM in groups with less low b-values distribution (less than or equal to 5 b-values) were significantly lower than ones in any other group with more low b-values distribution (all P < 0.05), but no significant differences among groups with more low b-values distribution (P > 0.05). In addition, no significant differences in the D, D* and f value of WM or GM were found between group with one and more NEX of low b-values distribution (all P > 0.05). IVIM parameters in normal WM and GM strongly depended on the choice of the high b-value upper limit. Conclusions Metrics of IVIM parameters can be affected by low and high b value distribution. Eight low b-values distribution with high b-value upper limit of 800–1000 s/mm2 may be the relatively proper set when performing brain IVIM studies.
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Affiliation(s)
- Yu-Chuan Hu
- Department of Radiology and Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, 710038, Shaanxi, People's Republic of China
| | - Lin-Feng Yan
- Department of Radiology and Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, 710038, Shaanxi, People's Republic of China
| | - Yu Han
- Department of Radiology and Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, 710038, Shaanxi, People's Republic of China
| | - Shi-Jun Duan
- Department of Radiology and Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, 710038, Shaanxi, People's Republic of China
| | - Qian Sun
- Department of Radiology and Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, 710038, Shaanxi, People's Republic of China
| | - Gang-Feng Li
- Department of Radiology and Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, 710038, Shaanxi, People's Republic of China
| | - Wen Wang
- Department of Radiology and Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, 710038, Shaanxi, People's Republic of China
| | - Xiao-Cheng Wei
- MR Research China, GE Healthcare China, Beijing, 100176, China
| | - Dan-Dan Zheng
- MR Research China, GE Healthcare China, Beijing, 100176, China
| | - Guang-Bin Cui
- Department of Radiology and Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, 710038, Shaanxi, People's Republic of China.
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Yang X, Chen Y, Wen Z, Liu Y, Xiao X, Liang W, Yu S. Non-invasive MR assessment of the microstructure and microcirculation in regional lymph nodes for rectal cancer: a study of intravoxel incoherent motion imaging. Cancer Imaging 2019; 19:70. [PMID: 31685035 PMCID: PMC6829929 DOI: 10.1186/s40644-019-0255-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 09/20/2019] [Indexed: 01/02/2023] Open
Abstract
Background The aim of this study is to evaluate the microstructure and microcirculation of regional lymph nodes (LNs) in rectal cancer by using non-invasive intravoxel incoherent motion MRI (IVIM-MRI), and to distinguish metastatic from non-metastatic LNs by quantitative parameters. Methods All recruited patients underwent IVIM-MRI (b = 0, 5, 10, 20, 30, 40, 60, 80, 100, 150, 200, 400, 600, 1000, 1500 and 2000 s/mm2) on a 3.0 T MRI system. One hundred sixty-eight regional LNs with a short-axis diameter equal to or greater than 5 mm from 116 patients were evaluated by two radiologists independently, including 78 malignant LNs and 90 benign LNs. The following parameters were assessed: the short-axis diameter (S), long-axis diameter (L), short- to long-axis diameter ratio (S/L), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion factor (f). Intraclass correlation coefficients (ICCs) were calculated to assess the interobserver agreement between two readers. Receiver operating characteristic curves were applied for analyzing statistically significant parameters. Results Interobserver agreement of IVIM-MRI parameters between two readers was excellent (ICCs> 0.75). The metastatic group exhibited higher S, L and D (P < 0.001), but lower f (P < 0.001) than the non-metastatic group. The area under the curve (95% CI, sensitivity, specificity) of the multi-parameter combined equation for D, f and S was 0.811 (0.744~0.868, 62.82%, 87.78%). The diagnostic performance of the multi-parameter model was better than that of an individual parameter (P < 0.05). Conclusion IVIM-MRI parameters provided information about the microstructure and microcirculation of regional LNs in rectal cancer, also improved diagnostic performance in identifying metastatic LNs.
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Affiliation(s)
- Xinyue Yang
- Department of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, People's Republic of China, 510280
| | - Yan Chen
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China, 510080
| | - Ziqiang Wen
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China, 510080
| | - Yiyan Liu
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China, 510080
| | - Xiaojuan Xiao
- Department of Radiology, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, People's Republic of China, 518033
| | - Wen Liang
- Department of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, People's Republic of China, 510280.
| | - Shenping Yu
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China, 510080.
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Guo L, Liu X, Liu Z, Li X, Si Z, Qin J, Mei Y, Zhang Z, Xu Y, Wu Y. Differential detection of metastatic and inflammatory lymph nodes using intravoxel incoherent motion diffusion-weighted imaging. Magn Reson Imaging 2019; 65:62-66. [PMID: 31654737 DOI: 10.1016/j.mri.2019.10.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Revised: 09/08/2019] [Accepted: 10/08/2019] [Indexed: 12/23/2022]
Abstract
PURPOSE This study sought to monitor the dynamic process of lymph node (LN) metastasis with intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI), and to investigate the impact of disease course on the detection of metastatic LNs by IVIM-DWI. METHODS Twenty female New Zealand rabbits with 2.5-3.0 kg body weight were studied. VX2 cells and egg yolk emulsion were randomly inoculated into one thigh to induce metastatic and inflammatory popliteal LNs, respectively. Eight rabbits underwent IVIM-DWI (14 b values, 0-2000 s/mm2) 2 h prior to, and 14, 21, and 28 days after inoculation (D0, D14, D21, D28). The apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) were measured and compared between the metastatic and the inflammatory groups at each time point. Three rabbits randomly chosen from the remaining twelve rabbits were sacrificed at each time point to perform hematoxylin and eosin staining and histologic evaluation. RESULTS The patterns of dynamic change of D*, ADC, and D were different between the metastatic and the inflammatory LNs. The metastatic group had a lower D* value at D14 (p = .003), and greater ADC and D values at both D21 (p = .001, p = .001) and D28 (p = .021, p = .001), compared to the inflammatory group. The f value of the metastatic group was greater than that of the inflammatory only at D28 (p = .001). CONCLUSIONS IVIM-DWI can reflect the dynamic process of LN metastasis, and disease course has a significant influence on the ability of IVIM-DWI to detect metastatic nodes.
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Affiliation(s)
- Liuji Guo
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Xiaomin Liu
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Zhi Liu
- Department of Sonography, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Xiaodan Li
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Zhiguang Si
- Department of Medical Imaging, People's Hospital of Dehong Prefecture, Dehong 678400, China
| | - Jie Qin
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yingjie Mei
- China International Center, Philips Healthcare, Guangzhou 510095, China
| | - Zhongping Zhang
- China International Center, Philips Healthcare, Guangzhou 510095, China
| | - Yikai Xu
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - Yuankui Wu
- Department of Medical Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
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Rong D, Mao Y, Hu W, Xu S, Wang J, He H, Li S, Zhang R. Intravoxel incoherent motion magnetic resonance imaging for differentiating metastatic and non-metastatic lymph nodes in pancreatic ductal adenocarcinoma. Eur Radiol 2018; 28:2781-2789. [PMID: 29404768 DOI: 10.1007/s00330-017-5259-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Revised: 11/14/2017] [Accepted: 12/20/2017] [Indexed: 01/27/2023]
Abstract
OBJECTIVES To evaluate the diagnostic potential of intravoxel incoherent motion (IVIM) DWI for differentiating metastatic and non-metastatic lymph node stations (LNS) in pancreatic ductal adenocarcinoma (PDAC). METHODS 59 LNS histologically diagnosed following surgical resection from 15 patients were included. IVIM DWI with 12 b values was added to the standard MRI protocol. Evaluation of parameters was performed pre-operatively and included the apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*) and perfusion fraction (f). Diagnostic performance of ADC, D, D* and f for differentiating between metastatic and non-metastatic LNS was evaluated using ROC analysis. RESULTS Metastatic LNS had significantly lower D, D*, f and ADC values than the non-metastatic LNS (p< 0.01). The best diagnostic performance was found in D, with an area under the ROC curve of 0.979, while the area under the ROC curve values of D*, f and ADC were 0.867, 0.855 and 0.940, respectively. The optimal cut-off values for distinguishing metastatic and non-metastatic lymph nodes were D = 1.180 × 10-3 mm2/s; D* = 14.750 × 10-3 mm2/s, f = 20.65 %, and ADC = 1.390 × 10-3 mm2/s. CONCLUSION IVIM DWI is useful for differentiating between metastatic and non-metastatic LNS in PDAC. KEY POINTS • IVIM DWI is feasible for diagnosing LN metastasis in PDAC. • Metastatic LNS has lower D, D*, f, ADC values than non-metastatic LNS. • D-value from IVIM model has best diagnostic performance, followed by ADC value. • D* has the lowest AUC value.
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Affiliation(s)
- Dailin Rong
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China
- Department of Radiology, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Yize Mao
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China
- Department of Hepato-Biliary-Pancreatic Oncology, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Wanming Hu
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China
- Department of Pathology, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Shuhang Xu
- Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, Guangdong Province, People's Republic of China
| | - Jun Wang
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China
- Department of Hepato-Biliary-Pancreatic Oncology, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
- Department of Ultrasound, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Haoqiang He
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China
- Department of Radiology, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Shengping Li
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China.
- Department of Hepato-Biliary-Pancreatic Oncology, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China.
| | - Rong Zhang
- State Key Laboratory of Oncology in Southern China, Guangzhou, 510060, China.
- Department of Radiology, Sun Yat-sen University Cancer Center, No. 651 Dongfeng Road East, Guangzhou, 510060, China.
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Zhu Y, Li X, Wang F, Zhang J, Li W, Ma Y, Qi J, Ren S, Ye Z. Intravoxel incoherent motion diffusion-weighted magnetic resonance imaging in characterization of axillary lymph nodes: Preliminary animal experience. Magn Reson Imaging 2018; 52:46-52. [PMID: 29852212 DOI: 10.1016/j.mri.2018.05.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 05/27/2018] [Accepted: 05/27/2018] [Indexed: 12/11/2022]
Abstract
PURPOSE To investigate the diagnostic value of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) for discriminating axillary metastatic from non-metastatic lymph nodes (LNs) in rabbit models. MATERIALS AND METHODS The institutional animal care and use committee approved this study. Forty New Zealand white rabbits were randomly divided into two groups. The axillary LN models were created by inoculating VX2 cell suspension and complete Freund's adjuvant in the mammary glands of 20 female rabbits of each group, respectively. Conventional MRI and IVIM DWI were performed after animal models successfully established. Images of axillary LNs were analyzed with regard to long-axis diameter (L), short-axis diameter (S), apparent diffusion coefficient (ADC) and IVIM parameters (D, D*, f). Receiver operating characteristic analyses were conducted to determine the diagnostic performance of aforementioned criteria. RESULTS A total of 42 metastatic and 30 non-metastatic LNs were successfully isolated. ADC and D of metastatic LNs were significantly lower than those of non-metastatic ones (all P < 0.001), whereas D* was statistically higher (P = 0.033). L, S, and f showed no significant difference between the two groups (P = 0.089, 0.058, 0.054, respectively). Optimal cutoff values, area under the curve, sensitivity, and specificity for differentiation were as follows: ADC = 1.101 × 10-3 mm2/s, 0.886, 78.6%, 90.0%; D = 0.938 × 10-3 mm2/s, 0.927, 83.3%, 93.3%; and D* = 12.635 × 10-3 mm2/s, 0.657, 52.4%, 80.0%. CONCLUSION IVIM DWI is useful to distinguish metastatic from non-metastatic LNs in axilla. D was the most discriminative variable for predicting metastatic LNs.
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Affiliation(s)
- Yueqiang Zhu
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Xubin Li
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Fengkui Wang
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Jun Zhang
- Department of Breast Surgery, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Wei Li
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Yan Ma
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Jin Qi
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Song Ren
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China
| | - Zhaoxiang Ye
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China.
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