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Heidt CM, Bohn JR, Stollmayer R, von Stackelberg O, Rheinheimer S, Bozorgmehr F, Senghas K, Schlamp K, Weinheimer O, Giesel FL, Kauczor HU, Heußel CP, Heußel G. Delta-radiomics features of ADC maps as early predictors of treatment response in lung cancer. Insights Imaging 2024; 15:218. [PMID: 39186132 PMCID: PMC11347553 DOI: 10.1186/s13244-024-01787-5] [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: 02/20/2024] [Accepted: 07/28/2024] [Indexed: 08/27/2024] Open
Abstract
OBJECTIVE Investigate the feasibility of detecting early treatment-induced tumor tissue changes in patients with advanced lung adenocarcinoma using diffusion-weighted MRI-derived radiomics features. METHODS This prospective observational study included 144 patients receiving either tyrosine kinase inhibitors (TKI, n = 64) or platinum-based chemotherapy (PBC, n = 80) for the treatment of pulmonary adenocarcinoma. Patients underwent diffusion-weighted MRI the day prior to therapy (baseline, all patients), as well as either + 1 (PBC) or + 7 and + 14 (TKI) days after treatment initiation. One hundred ninety-seven radiomics features were extracted from manually delineated tumor volumes. Feature changes over time were analyzed for correlation with treatment response (TR) according to CT-derived RECIST after 2 months and progression-free survival (PFS). RESULTS Out of 14 selected delta-radiomics features, 6 showed significant correlations with PFS or TR. Most significant correlations were found after 14 days. Features quantifying ROI heterogeneity, such as short-run emphasis (p = 0.04(pfs)/0.005(tr)), gradient short-run emphasis (p = 0.06(pfs)/0.01(tr)), and zone percentage (p = 0.02(pfs)/0.01(tr)) increased in patients with overall better TR whereas patients with worse overall response showed an increase in features quantifying ROI homogeneity, such as normalized inverse difference (p = 0.01(pfs)/0.04(tr)). Clustering of these features allows stratification of patients into groups of longer and shorter survival. CONCLUSION Two weeks after initiation of treatment, diffusion MRI of lung adenocarcinoma reveals quantifiable tissue-level insights that correlate well with future treatment (non-)response. Diffusion MRI-derived radiomics thus shows promise as an early, radiation-free decision-support to predict efficacy and potentially alter the treatment course early. CRITICAL RELEVANCE STATEMENT Delta-Radiomics texture features derived from diffusion-weighted MRI of lung adenocarcinoma, acquired as early as 2 weeks after initiation of treatment, are significantly correlated with RECIST TR and PFS as obtained through later morphological imaging. KEY POINTS Morphological imaging takes time to detect TR in lung cancer, diffusion-weighted MRI might identify response earlier. Several radiomics features are significantly correlated with TR and PFS. Radiomics of diffusion-weighted MRI may facilitate patient stratification and management.
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Affiliation(s)
- Christian M Heidt
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany.
- Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
| | - Jonas R Bohn
- Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
- National Center for Tumor Diseases (NCT Heidelberg), Heidelberg, Germany
| | - Róbert Stollmayer
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Oyunbileg von Stackelberg
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
- Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Stephan Rheinheimer
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
- Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
| | - Farastuk Bozorgmehr
- Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- Thoracic Oncology, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
| | - Karsten Senghas
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
- Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- Section for Translational Research, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
| | - Kai Schlamp
- Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
| | - Oliver Weinheimer
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
- Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Frederik L Giesel
- Department of Nuclear Medicine, Medical Faculty, Heinrich-Heine-University, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Hans-Ulrich Kauczor
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
- Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Claus Peter Heußel
- Diagnostic and Interventional Radiology, Heidelberg University Hospital, Heidelberg, Germany
- Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
| | - Gudula Heußel
- Translational Lung Research Center (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
- Pneumology and Respiratory Critical Care Medicine, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
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Volumetric Analysis of Intravoxel Incoherent Motion Diffusion-Weighted Imaging for Predicting the Response to Chemotherapy in Patients With Locally Advanced Non-Small Cell Lung Cancer. J Comput Assist Tomogr 2022; 46:406-412. [PMID: 35405718 DOI: 10.1097/rct.0000000000001282] [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 We aimed to prospectively investigate intravoxel incoherent motion parameters to predict the response to chemotherapy in locally advanced non-small cell lung cancer (NSCLC) patients. METHODS From July 2016 to March 2018, 30 advanced NSCLC patients were enrolled and underwent chest intravoxel incoherent motion-diffusion-weighted imaging at Siemens 3T magnetic resonance imaging before and at the end of the first cycle of chemotherapy. Regions of interest were drawn including the whole tumor volume to derive the apparent diffusion coefficient value, D, D*, and f, respectively. Time-dependent receiver operating characteristic curves were generated to evaluate the cutoff values of continuous variables. A Cox proportional hazards model was used to assess the independent predictors of progression-free survival (PFS) and overall survival (OS). Kaplan-Meier curves and log-rank test were generated. RESULTS Among the 30 patients, 28 cases (93.3%) died and 2 cases (6.7%) survived till the closeout date. Univariate Cox regression analyses revealed that the significant predictors of PFS and OS were the tumor size reduction rate, the change rates of D and apparent diffusion coefficient values, and the D value before therapy (PFS: P = 0.015, hazard ratio [HR] = 2.841; P < 0.001, HR = 5.840; P = 0.044, HR = 2.457; and P = 0.027, HR = 2.715; OS: P = 0.008, HR = 2.987; P < 0.001, HR = 4.357; P = 0.006, HR = 3.313; and P = 0.013, HR = 2.941, respectively). Multivariate Cox regression analysis suggested that △D% was identified as independent predictors of both PFS and OS (P = 0.003, HR = 9.200 and P = 0.016, HR = 4.617). In addition, the cutoff value of △D% was 21.06% calculated by receiver operating characteristic curve analysis. In the Kaplan-Meier analysis, the PFS and OS were significantly greater in the group of patients with △D% larger than 21.06% (log-rank test, χ2 = 16.453, P < 0.001; χ2 = 13.952, P < 0.001). CONCLUSIONS Intravoxel incoherent motion-diffusion-weighted imaging was preferred for predicting the prognosis of advanced NSCLC patients treated with chemotherapy. A D increase more than 21.06% at 1 month was associated with a lower rate of disease progression and death.
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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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Umeda Y, Morikawa M, Anzai M, Ameshima S, Kadowaki M, Waseda Y, Shigemi H, Tsujikawa T, Kiyono Y, Okazawa H, Ishizuka T. Predictive value of integrated 18F-FDG PET/MRI in the early response to nivolumab in patients with previously treated non-small cell lung cancer. J Immunother Cancer 2021; 8:jitc-2019-000349. [PMID: 32345624 PMCID: PMC7213911 DOI: 10.1136/jitc-2019-000349] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/31/2020] [Indexed: 12/26/2022] Open
Abstract
Background The early response to treatment with immune-checkpoint inhibitors is difficult to evaluate. We determined whether changes in integrated [18F]-fluoro-2-deoxy-D-glucose positron emission tomography/MRI (18F-FDG PET/MRI) parameters after the first 2 weeks of antiprogrammed death-1 antibody nivolumab therapy could predict the response of patients with non-small cell lung cancer (NSCLC). Methods Twenty-five patients with previously treated NSCLC were enrolled prospectively and underwent 18F-FDG PET/MRI before and at 2 weeks after nivolumab therapy. Changes in maximal standardized uptake value, total lesion glycolysis (ΔTLG) and apparent diffusion coefficient (ΔADC) between the two scans were calculated and evaluated for their associations with the clinical response to therapy. Results The disease control rate was 64%. Patients with non-progressive disease (non-PD) had significantly decreased TLG, increased ADCmean (ie, negative ΔADCmean) and lower ΔTLG+ΔADCmean than patients with PD. Among the parameters tested, receiver operating characteristic curve analysis revealed that a cut-off value of 16.5 for ΔTLG+ΔADCmean had the highest accuracy (92%) for distinguishing between patients with non-PD and PD. A ΔTLG+ΔADCmean value <16.5 was significantly associated with longer median progression-free survival (9.0 vs 1.8 months, p<0.00001) and overall survival (23.6 vs 4.7 months, p=0.0001) compared with ΔTLG+ΔADCmean value ≥16.5. A multivariate Cox model revealed that ≥16.5 ΔTLG+ΔADCmean was an independent predictor of shorter progression-free survival (HR 37.7) and overall survival (HR 9.29). Conclusions A combination of ΔTLG and ΔADCmean measured by integrated 18F-FDG PET/MRI may have value as a predictor of the response and survival of patients with NSCLC following nivolumab therapy. Trial registration number UMIN 000020707.
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Affiliation(s)
- Yukihiro Umeda
- Third Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Miwa Morikawa
- Third Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Masaki Anzai
- Third Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Shingo Ameshima
- Department of Internal Medicine, Sakai Municipal Mikuni Hospital, Fukui, Japan
| | - Maiko Kadowaki
- Third Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Yuko Waseda
- Third Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Hiroko Shigemi
- Third Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Tetsuya Tsujikawa
- Biomedical Imaging Research Center, University of Fukui, Fukui, Japan
| | - Yasushi Kiyono
- Biomedical Imaging Research Center, University of Fukui, Fukui, Japan
| | - Hidehiko Okazawa
- Biomedical Imaging Research Center, University of Fukui, Fukui, Japan
| | - Tamotsu Ishizuka
- Third Department of Internal Medicine, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
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Intravoxel incoherent motion magnetic resonance imaging for predicting the long-term efficacy of immune checkpoint inhibitors in patients with non-small-cell lung cancer. Lung Cancer 2020; 143:47-54. [PMID: 32203770 DOI: 10.1016/j.lungcan.2020.03.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 02/26/2020] [Accepted: 03/13/2020] [Indexed: 01/18/2023]
Abstract
OBJECTIVES Conventional evaluation of anti-tumor activity on the basis of tumor size is inadequate for immune checkpoint inhibitors (ICIs). We therefore aimed to assess the usefulness of intravoxel incoherent motion magnetic resonance imaging (IVIM-MRI) for evaluation of the therapeutic efficacy of ICIs. MATERIALS AND METHODS A chest IVIM-MRI was performed before and 2, 4, and 8 weeks after administration of ICIs in patients with advanced non-small-cell lung cancer. Apparent diffusion coefficient (ADC), skewness of ADC (ADCskew), kurtosis of ADC (ADCkurt), true diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (f) were evaluated at each evaluation point and changes from the baseline (Δ). RESULTS Twenty patients were enrolled in this study. An increased ADC 8 weeks and decreased ADCkurt and ΔADCkurt 4 weeks after ICIs was associated with objective responses and longer progression-free survival (PFS). A decreased ΔADCskew at 4 weeks was associated with objective responses, disease control, and longer PFS and overall survival. There was no correlation between the efficacy of ICIs and D, D* and f. All of three patients who had pseudoprogression had decreased ΔADCskew at 4 weeks and two of them had decreased ΔADCkurt at 4 weeks. Inversely, all five patients who had progressive disease (PD) did not have increased ΔADCskew at 4 weeks and only one of them had decreased ΔADCkurt at 4 weeks. CONCLUSIONS Changes in histograms of ADC may be useful for predicting long-term efficacy and distinguishing between pseudoprogression and actual PD after ICIs.
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Christensen TN, Langer SW, Villumsen KE, Johannesen HH, Löfgren J, Keller SH, Hansen AE, Kjaer A, Fischer BM. 18F-fluorothymidine (FLT)-PET and diffusion-weighted MRI for early response evaluation in patients with small cell lung cancer: a pilot study. Eur J Hybrid Imaging 2020; 4:2. [PMID: 34191195 PMCID: PMC8218141 DOI: 10.1186/s41824-019-0071-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 12/23/2019] [Indexed: 12/25/2022] Open
Abstract
Background Small cell lung cancer (SCLC) is an aggressive cancer often presenting in an advanced stage and prognosis is poor. Early response evaluation may have impact on the treatment strategy. Aim We evaluated 18F-fluorothymidine-(FLT)-PET/diffusion-weighted-(DW)-MRI early after treatment start to describe biological changes during therapy, the potential of early response evaluation, and the added value of FLT-PET/DW-MRI. Methods Patients with SCLC referred for standard chemotherapy were eligible. FLT-PET/DW-MRI of the chest and brain was acquired within 14 days after treatment start. FLT-PET/DW-MRI was compared with pretreatment FDG-PET/CT. Standardized uptake value (SUV), apparent diffusion coefficient (ADC), and functional tumor volumes were measured. FDG-SUVpeak, FLT-SUVpeak, and ADCmedian; spatial distribution of aggressive areas; and voxel-by-voxel analyses were evaluated to compare the biological information derived from the three functional imaging modalities. FDG-SUVpeak, FLT-SUVpeak, and ADCmedian were also analyzed for ability to predict final treatment response. Results Twelve patients with SCLC completed FLT-PET/MRI 1–9 days after treatment start. In nine patients, pretreatment FDG-PET/CT was available for comparison. A total of 16 T-sites and 12 N-sites were identified. No brain metastases were detected. FDG-SUVpeak was 2.0–22.7 in T-sites and 5.5–17.3 in N-sites. FLT-SUVpeak was 0.6–11.5 in T-sites and 1.2–2.4 in N-sites. ADCmedian was 0.76–1.74 × 10− 3 mm2/s in T-sites and 0.88–2.09 × 10−3 mm2/s in N-sites. FLT-SUVpeak correlated with FDG-SUVpeak, and voxel-by-voxel correlation was positive, though the hottest regions were dissimilarly distributed in FLT-PET compared to FDG-PET. FLT-SUVpeak was not correlated with ADCmedian, and voxel-by-voxel analyses and spatial distribution of aggressive areas varied with no systematic relation. LT-SUVpeak was significantly lower in responding lesions than non-responding lesions (mean FLT-SUVpeak in T-sites: 1.5 vs. 5.7; p = 0.007, mean FLT-SUVpeak in N-sites: 1.6 vs. 2.2; p = 0.013). Conclusions FLT-PET and DW-MRI performed early after treatment start may add biological information in patients with SCLC. Proliferation early after treatment start measured by FLT-PET is a promising predictor for final treatment response that warrants further investigation. Trial registration Clinicaltrials.gov, NCT02995902. Registered 11 December 2014 - Retrospectively registered.
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Affiliation(s)
- Tine Nøhr Christensen
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark. .,Cluster for Molecular Imaging, University of Copenhagen, Copenhagen, Denmark.
| | - Seppo W Langer
- Department of Oncology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Katrine Engholm Villumsen
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
| | - Helle Hjorth Johannesen
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
| | - Johan Löfgren
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
| | - Sune Høgild Keller
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
| | - Adam Espe Hansen
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
| | - Andreas Kjaer
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark.,Cluster for Molecular Imaging, University of Copenhagen, Copenhagen, Denmark
| | - Barbara Malene Fischer
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark.,PET Centre, School of Biomedical Engineering and Imaging Science, Kings College London, London, UK
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Cai P, Su D, Yang W, He Z, Zhang C, Liu H, Liu Z, Zhang X, Gao L, Liu Y, Jiang H, Gao F, Gao X. Inherently PET/CT Dual Modality Imaging Lipid Nanocapsules for Early Detection of Orthotopic Lung Tumors. ACS APPLIED BIO MATERIALS 2020; 3:611-621. [DOI: 10.1021/acsabm.9b00993] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Pengju Cai
- Department of Chemistry and Chemical Engineering, Beijing University of Technology, Beijing, 100124, P. R. China
| | - Dongdong Su
- Department of Chemistry and Chemical Engineering, Beijing University of Technology, Beijing, 100124, P. R. China
| | | | | | - Chunyu Zhang
- Department of Chemistry and Chemical Engineering, Beijing University of Technology, Beijing, 100124, P. R. China
| | - Hui Liu
- Beijing National Laboratory for Molecular Sciences, Radiochemistry and Radiation Chemistry Key Laboratory of Fundamental Science, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China
| | - Zhibo Liu
- Beijing National Laboratory for Molecular Sciences, Radiochemistry and Radiation Chemistry Key Laboratory of Fundamental Science, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China
| | | | - Liang Gao
- Department of Chemistry and Chemical Engineering, Beijing University of Technology, Beijing, 100124, P. R. China
| | | | - Huaidong Jiang
- School of Physical Science and Technology, Shanghai Tech University, Shanghai 201210, China
| | | | - Xueyun Gao
- Department of Chemistry and Chemical Engineering, Beijing University of Technology, Beijing, 100124, P. R. China
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Evaluation of Diffusion-Weighted MRI and FDG-PET/CT to Assess Response to AdCD40L treatment in Metastatic Melanoma Patients. Sci Rep 2019; 9:18069. [PMID: 31792256 PMCID: PMC6889008 DOI: 10.1038/s41598-019-54438-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 11/11/2019] [Indexed: 01/20/2023] Open
Abstract
The purpose was to evaluate the potential of diffusion-weighted-magnetic resonance imaging (DW-MRI) and 18F-fludeoxy-glucose-positron emission tomography integrated with CT (FDG-PET/CT) for prediction of overall survival (OS) following AdCD40L-immunotherapy in patients with metastatic malignant melanoma (MMM). Twenty-four patients with refractory MMM were treated with immunostimulatory AdCD40L gene therapy in a phase I/IIa study. Pre-therapeutic DW-MRI and FDG-PET/CT were performed and then repeated at 5 and 9 weeks post-treatment. Evaluation was conducted according to RECIST 1.1 and EORTC criteria. Apparent diffusion coefficient (ADC), true diffusion coefficient (D), maximum standardized uptake value (SUVmax) were measured in the injected lesions. Fold changes (F) in ADC (F ADC), D (F D), SUVmax (F SUVmax) were statistically assessed. F D ≥ 1 and F ADC ≥ 1 were associated with better OS in scans at week 5 and 9 respectively. F SUVmax was not correlated to OS. F ADC ≥ 1 in both post-treatment scans and F D ≥ 1 at week 5 were related to a significant decrease of size of the injected lesions. These results suggest that in patients with MMM treated with AdCD40l, functional parameters of DW-MRI are better early predictors of OS than the established metabolic and morphologic criteria for FDG-PET/CT and MRI, respectively.
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Liu J, Lv H, Dong J, Ding X, Han Z, Yang S, Ba Z. Diffusion-Weighted Magnetic Resonance Imaging for Early Detection of Chemotherapy Resistance in Non-Small Cell Lung Cancer. Med Sci Monit 2019; 25:6264-6270. [PMID: 31476196 PMCID: PMC6713033 DOI: 10.12659/msm.914236] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Background The aim of this study was to examine the role of magnetic resonance imaging-diffusion weighted imaging (MRI-DWI) in the early detection of chemotherapy resistance in non-small cell lung cancer (NSCLC) patients. Material/Methods MRI-DWI and computed tomography (CT) were carried out in 75 patients with newly diagnostic NSCLC before and after first, second, fourth, and sixth cycles of chemotherapy. Resistance to chemotherapy was assessed based on the change in the largest tumor diameter after chemotherapy. Diffusion of water molecule in each lesion was quantitatively measured by apparent diffusion coefficient (ADC). The diagnostic results of DWI after first and second cycle of chemotherapy were analyzed by the area under receiver operating characteristics curve (ROC). Results Among the patients, 43 patients were chemo-resistance while 32 patients were chemo-sensitive. The ADC changing rate between second and first cycle of chemotherapy was significantly higher in chemo-sensitive patients compared with chemo-resistance patients (t=3.236, P=0.002). The ROC showed cutoff values of the ADC changing rate after first and second cycles of chemotherapy for resistance/sensitive discrimination were 23.6% and 5.56%, respectively. DWI after first and second cycles of therapy showed sensitivities of 55.8% and 55.8%, specificities of 65.6% and 87.5%, and area under ROC of 0.568 and 0.733, respectively. Conclusions ADC changing rate between first and second cycles of chemotherapy could sensitively distinguish chemo-sensitive and chemo-resistant tumors at earlier stages, which may direct treatment adjustment and improve the prognosis of patients.
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Affiliation(s)
- Junfeng Liu
- Department of Imaging, Laigang Hospital Affiliated to Taishan Medical University, Laiwu, Shandong, China (mainland)
| | - Hongxia Lv
- Department of Respiratory Medicine, Laigang Hospital Affiliated to Taishan Medical University, Laiwu, Shandong, China (mainland)
| | - Jiliang Dong
- Department of Infectious Diseases, Laigang Hospital Affiliated to Taishan Medical University, Laiwu, Shandong, China (mainland)
| | - Xiujing Ding
- Department of Thoracic Surgery, Laigang Hospital Affiliated to Taishan Medical University, Laiwu, Shandong, China (mainland)
| | - Zhiguang Han
- Department of Imaging, Laigang Hospital Affiliated to Taishan Medical University, Laiwu, Shandong, China (mainland)
| | - Shiqing Yang
- Department of Imaging, Laigang Hospital Affiliated to Taishan Medical University, Laiwu, Shandong, China (mainland)
| | - Zhaogui Ba
- Department of Imaging, Laigang Hospital Affiliated to Taishan Medical University, Laiwu, Shandong, China (mainland)
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Carlin D, Weller A, Kramer G, Liu Y, Waterton JC, Chiti A, Sollini M, Joop de Langen A, O'Brien MER, Urbanowicz M, Jacobs BK, deSouza N. Evaluation of diffusion-weighted MRI and (18F) fluorothymidine-PET biomarkers for early response assessment in patients with operable non-small cell lung cancer treated with neoadjuvant chemotherapy. BJR Open 2019; 1:20190029. [PMID: 33178953 PMCID: PMC7592464 DOI: 10.1259/bjro.20190029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Accepted: 07/09/2019] [Indexed: 12/13/2022] Open
Abstract
Objective: To correlate changes in the apparent diffusion coefficient (ADC) from diffusion-weighted (DW)-MRI and standardised uptake value (SUV) from fluorothymidine (18FLT)-PET/CT with histopathological estimates of response in patients with non-small cell lung cancer (NSCLC) treated with neoadjuvant chemotherapy and track longitudinal changes in these biomarkers in a multicentre, multivendor setting. Methods: 14 patients with operable NSCLC recruited to a prospective, multicentre imaging trial (EORTC-1217) were treated with platinum-based neoadjuvant chemotherapy. 13 patients had DW-MRI and FLT-PET/CT at baseline (10 had both), 12 were re-imaged at Day 14 (eight dual-modality) and nine after completing chemotherapy, immediately before surgery (six dual-modality). Surgical specimens (haematoxylin-eosin and Ki67 stained) estimated the percentage of residual viable tumour/necrosis and proliferation index. Results: Despite the small numbers,significant findings were possible. ADCmedian increased (p < 0.001) and SUVmean decreased (p < 0.001) significantly between baseline and Day 14; changes between Day 14 and surgery were less marked. All responding tumours (>30% reduction in unidimensional measurement pre-surgery), showed an increase at Day 14 in ADC75th centile and reduction in total lesion proliferation (SUVmean x proliferative volume) greater than established measurement variability. Change in imaging biomarkers did not correlate with histological response (residual viable tumour, necrosis). Conclusion: Changes in ADC and FLT-SUV following neoadjuvant chemotherapy in NSCLC were measurable by Day 14 and preceded changes in unidimensional size but did not correlate with histopathological response. However, the magnitude of the changes and their utility in predicting (non-) response (tumour size/clinical outcome) remains to be established. Advances in knowledge: During treatment, ADC increase precedes size reductions, but does not reflect histopathological necrosis.
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Affiliation(s)
- Dominic Carlin
- CRUK Imaging Centre, The Institute of Cancer Research, Sutton, Surrey SM2 5NG, UK
| | | | - Gem Kramer
- Department of Respiratory Diseases, VU University Medical Center, Amsterdam, The Netherlands
| | - Yan Liu
- EORTC Headquarters, Brussels, Belgium
| | - John C Waterton
- Centre for Imaging Sciences, Division of Informatics Imaging & Data Sciences, School of Health Sciences, Faculty of Biology Medicine & Health, University of Manchester, Manchester Academic Health Sciences Centre, Oxford Road Manchester M13 9PL UK
| | | | - Martina Sollini
- Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | | | - Mary E R O'Brien
- The Royal Marsden Hospital, Downs Road, Sutton, Surrey SM2 5PT, UK
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Langer NH, Langer SW, Johannesen HH, Hansen AE, Costa J, Klausen TL, Forman J, Olin A, Rasmussen SH, Sørensen JB, Löfgren J, Kjær A, Fischer BM. Very Early Response Evaluation by PET/MR in Patients with Lung Cancer-Timing and Feasibility. Diagnostics (Basel) 2019; 9:diagnostics9010035. [PMID: 30917539 PMCID: PMC6468790 DOI: 10.3390/diagnostics9010035] [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: 01/18/2019] [Revised: 03/17/2019] [Accepted: 03/22/2019] [Indexed: 12/25/2022] Open
Abstract
Purpose: With the increasing number of therapy options available for patients with lung cancer, early response evaluation is needed. We performed this pilot study to assess the feasibility of early, repeated Positron emission tomography-magnetic resonance (PET/MR), the impact of timing and the capability for response prediction in lung tumors during chemotherapy. Methods: Patients with stage IV non-small cell lung cancer referred for chemotherapy were prospectively recruited. Fluorine-18-Fluorodeoxyglucose(18F-FDG)-PET/MR scans were performed prior to, during and after the first or second cycle of chemotherapy. Primary tumors were defined on all scans and size, FDG-uptake and apparent diffusion coefficient (ADC) were measured. Early response was described over time and a Standard Linear Mixed Model was applied to analyze changes over time. Results: 45 FDG-PET/MR scans were performed in 11 patients. Whereas the overall changes measured by ADC did not change significantly, there was an overall significant decrease in FDG-uptake from pre to post treatment scans. There was no difference in the FDG-uptake measured 1 or 3 weeks after therapy, but uptake measured 2 weeks after therapy differed from measurements at week 3. Changes measured in patients scanned during the first treatment cycle appeared more pronounced than during the second cycle. Conclusions: This pilot study indicates that response evaluation shortly after initiation of chemotherapy appears concordant with later evaluation and probably more reliable than evaluation midway between cycles. Responses during or after the first cycle of chemotherapy rather than during subsequent cycles are likely to be more readily measured.
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Affiliation(s)
- Natasha Hemicke Langer
- Dept. of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark.
| | - Seppo W Langer
- Dept. of Oncology, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark.
| | - Helle Hjorth Johannesen
- Dept. of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark.
| | - Adam Espe Hansen
- Dept. of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark.
| | - Junia Costa
- Dept. of Radiology, Rigshospitalet, Blegdamsvej 9, 2100 Copenhagen, Denmark.
| | - Thomas Levin Klausen
- Dept. of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark.
| | - Julie Forman
- Section of Biostatistics, Dept. of Public Health, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
| | - Anders Olin
- Dept. of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark.
| | - Sine Hvid Rasmussen
- Dept. of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark.
| | - Jens Benn Sørensen
- Dept. of Oncology, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark.
| | - Johan Löfgren
- Dept. of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark.
| | - Andreas Kjær
- Dept. of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark.
| | - Barbara Malene Fischer
- Dept. of Clinical Physiology, Nuclear Medicine & PET and Cluster for Molecular Imaging, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100 Copenhagen, Denmark.
- PET Centre, School of Biomedical Engineering and Imaging Sciences, Kings College Hospital, Guy's & St Thomas Hospital, SE1 9RT London, UK.
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Liu Y, Liu M, Liu X, Zhou Y. PET/CT in brachytherapy early response evaluation of pancreatic ductal adenocarcinoma xenografts: comparison with apparent diffusion coefficient from diffusion-weighted MR imaging. Abdom Radiol (NY) 2019; 44:950-957. [PMID: 30315322 DOI: 10.1007/s00261-018-1791-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
OBJECTIVE To evaluate the feasibility of using PET/CT and diffusion-weighted magnetic resonance imaging (DW-MRI) to monitor the early response of pancreatic ductal adenocarcinoma (PDAC) xenografts to brachytherapy, and to determine whether maximum standardized uptake value (SUVmax) correlate with apparent diffusion coefficient (ADC). MATERIALS AND METHODS SW1990 human PDAC were subcutaneously implanted in 20 nude mice. They were randomly divided into 125-Iodine (125I) seeds and blank seeds group. PET/CT and DW-MRI were performed at pretreatment and 5 days after therapy. SUVmax and ADC values were calculated, respectively. The correlation between SUVmax and ADC values was analyzed by the Pearson correlation test. RESULTS The SUVmax were significantly decreased between pretreatment and 5 days after 125I seeds treatment (p < 0.001) and between two groups (p < 0.001). And the ADC values were significantly increased between pretreatment and 5 days after 125I seeds treatment (p < 0.001) and between two groups (p < 0.001). While in the bank seeds group, there were no significantly difference between pretreatment and after treatment in SUVmax and ADC values (p = 0.057; p = 0.397). SUVmax and ADC correlated significantly and negatively before treatment in both groups (r = - 0.964, R2 = 0.929, p < 0.001; r = - 0.917, R2 = 0.841, p < 0.001) and after treatment in the blank seeds group (r = - 0.944, R2 = 0.891, p < 0.001). But after 125I seeds treatment there was no significant correlation between SUVmax and ADC (r = - 0.388, R2 = 0.151, p = 0.268). CONCLUSION The PET/CT and DW-MRI are capable of monitoring the early response of PDAC xenografts to brachytherapy. The significantly inverse correlation between pretreatment SUVmax and ADC suggests that PET/CT and DW-MRI might play complementary roles for therapy assessment.
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Affiliation(s)
- Yu Liu
- Department of Radiology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Min Liu
- Department of CT, The People's Hospital of Xiang Yun, Bai Autonomous Region, Dali, Yunnan, China
| | - Xiaona Liu
- Yantai Affiliated Hospital of Binzhou Medical University, Shandong, China
| | - Yan Zhou
- Yantai Affiliated Hospital of Binzhou Medical University, Shandong, China
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SEOM-SERAM-SEMNIM guidelines on the use of functional and molecular imaging techniques in advanced non-small-cell lung cancer. RADIOLOGIA 2018; 60:332-346. [PMID: 29807678 DOI: 10.1016/j.rx.2018.01.007] [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: 01/10/2018] [Accepted: 01/18/2018] [Indexed: 12/11/2022]
Abstract
Imaging in oncology is an essential tool for patient management but its potential is being profoundly underutilized. Each of the techniques used in the diagnostic process also conveys functional information that can be relevant in treatment decision making. New imaging algorithms and techniques enhance our knowledge about the phenotype of the tumor and its potential response to different therapies. Functional imaging can be defined as the one that provides information beyond the purely morphological data, and include all the techniques that make it possible to measure specific physiological functions of the tumor, whereas molecular imaging would include techniques that allow us to measure metabolic changes. Functional and molecular techniques included in this document are based on multi-detector computed tomography (CT), 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET), magnetic resonance imaging (MRI), and hybrid equipments, integrating PET with CT (PET/CT) or MRI (PET-MRI). Lung cancer is one of the most frequent and deadly tumors although survival is increasing thanks to advances in diagnostic methods and new treatments. This increased survival poises challenges in terms of proper follow-up and definitions of response and progression, as exemplified by immune therapy-related pseudoprogression. In this consensus document, the use of functional and molecular imaging techniques will be addressed to exploit their current potential and explore future applications in the diagnosis, evaluation of response and detection of recurrence of advanced NSCLC.
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SEOM-SERAM-SEMNIM guidelines on the use of functional and molecular imaging techniques in advanced non-small-cell lung cancer. Clin Transl Oncol 2017; 20:837-852. [PMID: 29256154 PMCID: PMC5996017 DOI: 10.1007/s12094-017-1795-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 11/04/2017] [Indexed: 12/17/2022]
Abstract
Imaging in oncology is an essential tool for patient management but its potential is being profoundly underutilized. Each of the techniques used in the diagnostic process also conveys functional information that can be relevant in treatment decision-making. New imaging algorithms and techniques enhance our knowledge about the phenotype of the tumor and its potential response to different therapies. Functional imaging can be defined as the one that provides information beyond the purely morphological data, and include all the techniques that make it possible to measure specific physiological functions of the tumor, whereas molecular imaging would include techniques that allow us to measure metabolic changes. Functional and molecular techniques included in this document are based on multi-detector computed tomography (CT), 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET), magnetic resonance imaging (MRI), and hybrid equipments, integrating PET with CT (PET/CT) or MRI (PET-MRI). Lung cancer is one of the most frequent and deadly tumors although survival is increasing thanks to advances in diagnostic methods and new treatments. This increased survival poises challenges in terms of proper follow-up and definitions of response and progression, as exemplified by immune therapy-related pseudoprogression. In this consensus document, the use of functional and molecular imaging techniques will be addressed to exploit their current potential and explore future applications in the diagnosis, evaluation of response and detection of recurrence of advanced NSCLC.
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Sauter AW, Stieltjes B, Weikert T, Gatidis S, Wiese M, Klarhöfer M, Wild D, Lardinois D, Bremerich J, Sommer G. The Spatial Relationship between Apparent Diffusion Coefficient and Standardized Uptake Value of 18F-Fluorodeoxyglucose Has a Crucial Influence on the Numeric Correlation of Both Parameters in PET/MRI of Lung Tumors. CONTRAST MEDIA & MOLECULAR IMAGING 2017; 2017:8650853. [PMID: 29391862 PMCID: PMC5748125 DOI: 10.1155/2017/8650853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Revised: 09/18/2017] [Accepted: 10/02/2017] [Indexed: 11/30/2022]
Abstract
The minimum apparent diffusion coefficient (ADCmin) derived from diffusion-weighted MRI (DW-MRI) and the maximum standardized uptake value (SUVmax) of FDG-PET are markers of aggressiveness in lung cancer. The numeric correlation of the two parameters has been extensively studied, but their spatial interplay is not well understood. After FDG-PET and DW-MRI coregistration, values and location of ADCmin- and SUVmax-voxels were analyzed. The upper limit of the 95% confidence interval for registration accuracy of sequential PET/MRI was 12 mm, and the mean distance (D) between ADCmin- and SUVmax-voxels was 14.0 mm (average of two readers). Spatial mismatch (D > 12 mm) between ADCmin and SUVmax was found in 9/25 patients. A considerable number of mismatch cases (65%) was also seen in a control group that underwent simultaneous PET/MRI. In the entire patient cohort, no statistically significant correlation between SUVmax and ADCmin was seen, while a moderate negative linear relationship (r = -0.5) between SUVmax and ADCmin was observed in tumors with a spatial match (D ≤ 12 mm). In conclusion, spatial mismatch between ADCmin and SUVmax is found in a considerable percentage of patients. The spatial connection of the two parameters SUVmax and ADCmin has a crucial influence on their numeric correlation.
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Affiliation(s)
- Alexander W. Sauter
- University Hospital Basel, University of Basel, Clinic of Radiology & Nuclear Medicine, Petersgraben 4, 4031 Basel, Switzerland
- Diagnostic and Interventional Radiology, University Hospital Tübingen, Eberhard Karls University, Hoppe-Seyler-Straße 3, 72076 Tübingen, Germany
| | - Bram Stieltjes
- University Hospital Basel, University of Basel, Clinic of Radiology & Nuclear Medicine, Petersgraben 4, 4031 Basel, Switzerland
| | - Thomas Weikert
- University Hospital Basel, University of Basel, Clinic of Radiology & Nuclear Medicine, Petersgraben 4, 4031 Basel, Switzerland
| | - Sergios Gatidis
- Diagnostic and Interventional Radiology, University Hospital Tübingen, Eberhard Karls University, Hoppe-Seyler-Straße 3, 72076 Tübingen, Germany
| | - Mark Wiese
- University Hospital Basel, University of Basel, Clinic of Thoracic Surgery, Spitalstrasse 21, 4031 Basel, Switzerland
| | - Markus Klarhöfer
- Siemens Healthineers, Freilagerstrasse 40, 8047 Zürich, Switzerland
| | - Damian Wild
- University Hospital Basel, University of Basel, Clinic of Radiology & Nuclear Medicine, Petersgraben 4, 4031 Basel, Switzerland
| | - Didier Lardinois
- University Hospital Basel, University of Basel, Clinic of Thoracic Surgery, Spitalstrasse 21, 4031 Basel, Switzerland
| | - Jens Bremerich
- University Hospital Basel, University of Basel, Clinic of Radiology & Nuclear Medicine, Petersgraben 4, 4031 Basel, Switzerland
| | - Gregor Sommer
- University Hospital Basel, University of Basel, Clinic of Radiology & Nuclear Medicine, Petersgraben 4, 4031 Basel, Switzerland
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Weller A, Papoutsaki MV, Waterton JC, Chiti A, Stroobants S, Kuijer J, Blackledge M, Morgan V, deSouza NM. Diffusion-weighted (DW) MRI in lung cancers: ADC test-retest repeatability. Eur Radiol 2017; 27:4552-4562. [PMID: 28396997 PMCID: PMC6175053 DOI: 10.1007/s00330-017-4828-6] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 03/12/2017] [Accepted: 03/20/2017] [Indexed: 01/26/2023]
Abstract
PURPOSE To determine the test-retest repeatability of Apparent Diffusion Coefficient (ADC) measurements across institutions and MRI vendors, plus investigate the effect of post-processing methodology on measurement precision. METHODS Thirty malignant lung lesions >2 cm in size (23 patients) were scanned on two occasions, using echo-planar-Diffusion-Weighted (DW)-MRI to derive whole-tumour ADC (b = 100, 500 and 800smm-2). Scanning was performed at 4 institutions (3 MRI vendors). Whole-tumour volumes-of-interest were copied from first visit onto second visit images and from one post-processing platform to an open-source platform, to assess ADC repeatability and cross-platform reproducibility. RESULTS Whole-tumour ADC values ranged from 0.66-1.94x10-3mm2s-1 (mean = 1.14). Within-patient coefficient-of-variation (wCV) was 7.1% (95% CI 5.7-9.6%), limits-of-agreement (LoA) -18.0 to 21.9%. Lesions >3 cm had improved repeatability: wCV 3.9% (95% CI 2.9-5.9%); and LoA -10.2 to 11.4%. Variability for lesions <3 cm was 2.46 times higher. ADC reproducibility across different post-processing platforms was excellent: Pearson's R2 = 0.99; CoV 2.8% (95% CI 2.3-3.4%); and LoA -7.4 to 8.0%. CONCLUSION A free-breathing DW-MRI protocol for imaging malignant lung tumours achieved satisfactory within-patient repeatability and was robust to changes in post-processing software, justifying its use in multi-centre trials. For response evaluation in individual patients, a change in ADC >21.9% will reflect treatment-related change. KEY POINTS • In lung cancer, free-breathing DWI-MRI produces acceptable images with evaluable ADC measurement. • ADC repeatability coefficient-of-variation is 7.1% for lung tumours >2 cm. • ADC repeatability coefficient-of-variation is 3.9% for lung tumours >3 cm. • ADC measurement precision is unaffected by the post-processing software used. • In multicentre trials, 22% increase in ADC indicates positive treatment response.
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Affiliation(s)
- Alex Weller
- CRUK Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Surrey, SM2 5PT, UK.
| | - Marianthi Vasiliki Papoutsaki
- CRUK Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Surrey, SM2 5PT, UK
| | | | | | | | - Joost Kuijer
- Vrije Universiteit Medisch Centrum, Amsterdam, The Netherlands
| | - Matthew Blackledge
- CRUK Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Surrey, SM2 5PT, UK
| | - Veronica Morgan
- Department of Medicine, Royal Marsden NHS Foundation Trust, London, UK
| | - Nandita M deSouza
- CRUK Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Surrey, SM2 5PT, UK
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Yabuuchi H, Kawanami S, Iwama E, Okamoto I, Kamitani T, Sagiyama K, Yamasaki Y, Honda H. Prediction of Therapeutic Effect of Chemotherapy for NSCLC Using Dual-Input Perfusion CT Analysis: Comparison among Bevacizumab Treatment, Two-Agent Platinum-based Therapy without Bevacizumab, and Other Non-Bevacizumab Treatment Groups. Radiology 2017; 286:685-695. [PMID: 29059037 DOI: 10.1148/radiol.2017162204] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To determine whether dual-input perfusion computed tomography (CT) can predict therapeutic response and prognosis in patients who underwent chemotherapy for non-small cell lung cancer (NSCLC). Materials and Methods The institutional review board approved this study and informed consent was obtained. Sixty-six patients with stage III or IV NSCLC (42 men, 24 women; mean age, 63.4 years) who underwent chemotherapy were enrolled. Patients were separated into three groups: those who received chemotherapy with bevacizumab (BV) (n = 20), those who received two-agent platinum-based therapy without BV (n = 25), and those who received other non-BV treatment (n = 21). Before treatment, pulmonary artery perfusion (PAP) and bronchial artery perfusion (BAP) of the tumors were calculated. Predictors of tumor reduction after two courses of chemotherapy and prognosis were identified by using univariate and multivariate analyses. Covariates included were age, sex, patient's performance status, baseline maximum diameter of the tumor, clinical stage, pretreatment PAP, and pretreatment BAP. For multivariate analyses, multiple linear regression analysis for tumor reduction rate and Cox proportional hazards model for prognosis were performed, respectively. Results Pretreatment BAP was independently correlated with tumor reduction rate after two courses of chemotherapy in the BV treatment group (P = .006). Pretreatment BAP was significantly associated with a highly cumulative risk of death (P = .006) and disease progression after chemotherapy (P = .015) in the BV treatment group. Pretreatment PAP and clinical parameters were not significant predictors of therapeutic effect or prognosis in three treatment groups. Conclusion Pretreatment BAP derived from dual-input perfusion CT seems to be a promising tool to help predict responses to chemotherapy with BV in patients with NSCLC. © RSNA, 2017.
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Affiliation(s)
- Hidetake Yabuuchi
- From the Department of Health Sciences (H.Y.), Department of Clinical Radiology (S.K., T.K., K.S., Y.Y., H.H.), and Research Institute for Diseases of the Chest (E.I., I.O.), Kyushu University Graduate School of Medical Sciences, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Satoshi Kawanami
- From the Department of Health Sciences (H.Y.), Department of Clinical Radiology (S.K., T.K., K.S., Y.Y., H.H.), and Research Institute for Diseases of the Chest (E.I., I.O.), Kyushu University Graduate School of Medical Sciences, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Eiji Iwama
- From the Department of Health Sciences (H.Y.), Department of Clinical Radiology (S.K., T.K., K.S., Y.Y., H.H.), and Research Institute for Diseases of the Chest (E.I., I.O.), Kyushu University Graduate School of Medical Sciences, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Isamu Okamoto
- From the Department of Health Sciences (H.Y.), Department of Clinical Radiology (S.K., T.K., K.S., Y.Y., H.H.), and Research Institute for Diseases of the Chest (E.I., I.O.), Kyushu University Graduate School of Medical Sciences, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Takeshi Kamitani
- From the Department of Health Sciences (H.Y.), Department of Clinical Radiology (S.K., T.K., K.S., Y.Y., H.H.), and Research Institute for Diseases of the Chest (E.I., I.O.), Kyushu University Graduate School of Medical Sciences, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Koji Sagiyama
- From the Department of Health Sciences (H.Y.), Department of Clinical Radiology (S.K., T.K., K.S., Y.Y., H.H.), and Research Institute for Diseases of the Chest (E.I., I.O.), Kyushu University Graduate School of Medical Sciences, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Yuzo Yamasaki
- From the Department of Health Sciences (H.Y.), Department of Clinical Radiology (S.K., T.K., K.S., Y.Y., H.H.), and Research Institute for Diseases of the Chest (E.I., I.O.), Kyushu University Graduate School of Medical Sciences, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Hiroshi Honda
- From the Department of Health Sciences (H.Y.), Department of Clinical Radiology (S.K., T.K., K.S., Y.Y., H.H.), and Research Institute for Diseases of the Chest (E.I., I.O.), Kyushu University Graduate School of Medical Sciences, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
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Jiang J, Yin J, Cui L, Gu X, Cai R, Gong S, Xu Y, Ma H, Mao J. Lung Cancer: Short‐Term Reproducibility of Intravoxel Incoherent Motion Parameters and Apparent Diffusion Coefficient at 3T. J Magn Reson Imaging 2017; 47:1003-1012. [PMID: 28741732 DOI: 10.1002/jmri.25820] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Accepted: 07/06/2017] [Indexed: 12/31/2022] Open
Affiliation(s)
- Jianqin Jiang
- Department of RadiologySecond Affiliated Hospital of Nantong UniversityNantong Jiangsu PR China
- Department of RadiologyYancheng City No.1 People's HospitalYancheng Jiangsu PR China
| | - Jianbin Yin
- Department of RadiologySecond Affiliated Hospital of Nantong UniversityNantong Jiangsu PR China
| | - Lei Cui
- Department of RadiologySecond Affiliated Hospital of Nantong UniversityNantong Jiangsu PR China
| | - Xiaowen Gu
- Department of RadiologySecond Affiliated Hospital of Nantong UniversityNantong Jiangsu PR China
- Department of RadiologySuzhou Municipal HospitalSuzhou Jiangsu PR China
| | - Rongfang Cai
- Department of RadiologySecond Affiliated Hospital of Nantong UniversityNantong Jiangsu PR China
| | - Shenchu Gong
- Department of RadiologySecond Affiliated Hospital of Nantong UniversityNantong Jiangsu PR China
| | - Yiming Xu
- Department of Thoracic SurgerySecond Affiliated Hospital of Nantong UniversityNantong Jiangsu PR China
| | - Hang Ma
- Department of RespiratorySecond Affiliated Hospital of Nantong UniversityNantong Jiangsu PR China
| | - Jian Mao
- Customer ServiceHealthcare Siemens China
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Assessment of treatment response after lung stereotactic body radiotherapy using diffusion weighted magnetic resonance imaging and positron emission tomography: A pilot study. Eur J Radiol 2017. [DOI: 10.1016/j.ejrad.2017.04.022] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Meta-Analysis of the Correlation between Apparent Diffusion Coefficient and Standardized Uptake Value in Malignant Disease. CONTRAST MEDIA & MOLECULAR IMAGING 2017; 2017:4729547. [PMID: 29097924 PMCID: PMC5612674 DOI: 10.1155/2017/4729547] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Accepted: 01/15/2017] [Indexed: 12/19/2022]
Abstract
The objective of this meta-analysis is to explore the correlation between the apparent diffusion coefficient (ADC) on diffusion-weighted MR and the standard uptake value (SUV) of 18F-FDG on PET/CT in patients with cancer. Databases such as PubMed (MEDLINE included), EMBASE, and Cochrane Database of Systematic Review were searched for relevant original articles that explored the correlation between SUV and ADC in English. After applying Fisher's r-to-z transformation, correlation coefficient (r) values were extracted from each study and 95% confidence intervals (CIs) were calculated. Sensitivity and subgroup analyses based on tumor type were performed to investigate the potential heterogeneity. Forty-nine studies were eligible for the meta-analysis, comprising 1927 patients. Pooled r for all studies was −0.35 (95% CI: −0.42–0.28) and exhibited a notable heterogeneity (I2 = 78.4%; P < 0.01). In terms of the cancer type subgroup analysis, combined correlation coefficients of ADC/SUV range from −0.12 (lymphoma, n = 5) to −0.59 (pancreatic cancer, n = 2). We concluded that there is an average negative correlation between ADC and SUV in patients with cancer. Higher correlations were found in the brain tumor, cervix carcinoma, and pancreas cancer. However, a larger, prospective study is warranted to validate these findings in different cancer types.
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Weiss E, Ford JC, Olsen KM, Karki K, Saraiya S, Groves R, Hugo GD. Apparent diffusion coefficient (ADC) change on repeated diffusion-weighted magnetic resonance imaging during radiochemotherapy for non-small cell lung cancer: A pilot study. Lung Cancer 2016; 96:113-9. [DOI: 10.1016/j.lungcan.2016.04.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Revised: 02/11/2016] [Accepted: 04/03/2016] [Indexed: 12/12/2022]
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Torii I, Tateishi U, Terauchi T, Inoue T. Prognostic implications of diffusion-weighted magnetic resonance imaging in patients with superior sulcus tumors receiving induction chemoradiation therapy. Jpn J Clin Oncol 2016; 46:264-9. [PMID: 26848076 DOI: 10.1093/jjco/hyv200] [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: 10/28/2015] [Accepted: 12/10/2015] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE The aim of this study was to evaluate a diffusion-weighted magnetic resonance imaging to represent therapeutic response of induction chemoradiation and outcome in patients with non-small cell lung cancer of the superior sulcus. METHODS Seventeen patients with non-small cell lung cancer of the superior sulcus (median age, 57 years; range, 44-70 years) received induction chemoradiation, followed by surgery. Diffusion-weighted magnetic resonance imaging of the lesion using b values of 0 and 800 s/mm(2) was acquired before treatment and after induction chemoradiation. Changes in tumoral apparent diffusion coefficient were compared with clinical and histopathological response. Cumulative disease-free survival and proportion of surviving were estimated by the Kaplan-Meier method. Survival of diffusion responders and non-responders were compared by log-rank test. RESULTS A significant correlation was observed between changes of diffusion response after induction chemoradiation and overall survival. Using a defined threshold of percent increase in mean apparent diffusion coefficient, nine out of 17 patients (53%) were classified as diffusion responders and had a mean increase in mean apparent diffusion coefficient of 40.7 ± 11.2%, while eight diffusion non-responding patients (47%) had a mean increase of 11.0 ± 15.5% (P < 0.0001). Significant difference was found in overall survival between diffusion responders and diffusion non-responders (88.9 months versus 20.3 months, P = 0.002). CONCLUSIONS Diffusion-weighted magnetic resonance imaging represented therapeutic effect and prognosis after induction chemoradiation in patients with non-small cell lung cancer of the superior sulcus.
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Affiliation(s)
- Ikuo Torii
- Department of Radiology, Yokohama City University Graduate School of Medicine, Kanagawa
| | - Ukihide Tateishi
- Department of Diagnostic Radiology and Nuclear Medicine, Tokyo Medical and Dental University Graduate School of Medicine, Tokyo
| | - Takashi Terauchi
- Division of Diagnostic Radiology, National Cancer Center Hospital, Tokyo, Japan
| | - Tomio Inoue
- Department of Radiology, Yokohama City University Graduate School of Medicine, Kanagawa
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23
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Broncano J, Luna A, Sánchez-González J, Alvarez-Kindelan A, Bhalla S. Functional MR Imaging in Chest Malignancies. Magn Reson Imaging Clin N Am 2016; 24:135-155. [DOI: 10.1016/j.mric.2015.08.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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24
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Application of peptide displaying phage as a novel diagnostic probe for human lung adenocarcinoma. Amino Acids 2016; 48:1079-1086. [DOI: 10.1007/s00726-015-2153-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Accepted: 12/09/2015] [Indexed: 12/25/2022]
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25
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Cobben DCP, de Boer HCJ, Tijssen RH, Rutten EGGM, van Vulpen M, Peerlings J, Troost EGC, Hoffmann AL, van Lier ALHMW. Emerging Role of MRI for Radiation Treatment Planning in Lung Cancer. Technol Cancer Res Treat 2015; 15:NP47-NP60. [PMID: 26589726 DOI: 10.1177/1533034615615249] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Accepted: 10/01/2015] [Indexed: 12/25/2022] Open
Abstract
Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast and allows for specific scanning sequences to optimize differentiation between various tissue types and properties. Moreover, it offers the potential for real-time motion imaging. This makes magnetic resonance imaging an ideal candidate imaging modality for radiation treatment planning in lung cancer. Although the number of clinical research protocols for the application of magnetic resonance imaging for lung cancer treatment is increasing (www.clinicaltrials.gov) and the magnetic resonance imaging sequences are becoming faster, there are still some technical challenges. This review describes the opportunities and challenges of magnetic resonance imaging for radiation treatment planning in lung cancer.
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Affiliation(s)
- David C P Cobben
- Department of Radiation Oncology, University Medical Center, Utrecht, the Netherlands
| | - Hans C J de Boer
- Department of Radiation Oncology, University Medical Center, Utrecht, the Netherlands
| | - Rob H Tijssen
- Department of Radiation Oncology, University Medical Center, Utrecht, the Netherlands
| | - Emma G G M Rutten
- Department of Radiation Oncology, University Medical Center, Utrecht, the Netherlands
| | - Marco van Vulpen
- Department of Radiation Oncology, University Medical Center, Utrecht, the Netherlands
| | - Jurgen Peerlings
- Department of Radiation Oncology, MAASTRO Clinic, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Esther G C Troost
- Department of Radiation Oncology, MAASTRO Clinic, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, the Netherlands.,Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.,OncoRay, National Center for Radiation Research in Oncology, Dresden, Germany.,Department of Radiation Oncology, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Aswin L Hoffmann
- Department of Radiation Oncology, MAASTRO Clinic, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, the Netherlands.,Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.,OncoRay, National Center for Radiation Research in Oncology, Dresden, Germany.,Department of Radiation Oncology, Medical Faculty and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
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26
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Kim HS, Lee KS, Ohno Y, van Beek EJ, Biederer J. PET/CT versus MRI for diagnosis, staging, and follow-up of lung cancer. J Magn Reson Imaging 2014; 42:247-60. [DOI: 10.1002/jmri.24776] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2014] [Accepted: 09/27/2014] [Indexed: 12/19/2022] Open
Affiliation(s)
- Hyun Su Kim
- Department of Radiology and Center for Imaging Science; Samsung Medical Center, Sungkyunkwan University School of Medicine; Seoul Korea
| | - Kyung Soo Lee
- Department of Radiology and Center for Imaging Science; Samsung Medical Center, Sungkyunkwan University School of Medicine; Seoul Korea
| | - Yoshiharu Ohno
- Division of Functional and Diagnostic Imaging Research; Department of Radiology; and Advanced Biomedical Imaging Research Centre, Kobe University Graduate School of Medicine; Kobe Japan
| | | | - Juergen Biederer
- Radiologie Darmstadt; Gross-Gerau County Hospital; Gross-Gerau Germany
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27
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Fan L, Sher A, Kohan A, Vercher-Conejero J, Rajiah P. PET/MRI in Lung Cancer. Semin Roentgenol 2014; 49:291-303. [DOI: 10.1053/j.ro.2014.07.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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28
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Doot RK, McDonald ES, Mankoff DA. Role of PET quantitation in the monitoring of cancer response to treatment: Review of approaches and human clinical trials. Clin Transl Imaging 2014; 2:295-303. [PMID: 25229053 DOI: 10.1007/s40336-014-0071-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Positron emission tomography (PET) measures of cancer metabolism and cellular proliferation are increasingly being studied as markers of cancer response to treatment, with the goal of using them as predictors of patient therapeutic outcomes - i.e., as surrogate outcome measures. The primary PET radiotracers thus far used for monitoring response of cancer to treatment are 18F-fluorodeoxyglucose (FDG) for studying abnormal energy metabolism and 18F-fluorothymidine (FLT) for examining cell proliferation. Both FDG and FLT PET quantitation of cancer response to treatment have been found to correlate with patient outcomes, mostly in single-center studies. The aim of this review is to summarize the impact of commonly selected PET quantitation methods on the ability of PET measures to quantitate cancer response to treatment. An understanding of the biochemistry and kinetics of FDG and FLT uptake and knowledge of the expected tracer uptake by cancerous processes relative to background uptake are required to select appropriate PET quantitation methods for trials testing for correlations between PET measures and patient outcome. PET measures may eventually serve as predictive biomarkers capable of guiding individualized treatment and improving patient outcomes and quality of life by early identification of ineffective therapies. PET can also potentially identify patients who would be good candidates for molecularly targeted drugs and monitor response to these personalized therapies.
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Affiliation(s)
- Robert K Doot
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Elizabeth S McDonald
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - David A Mankoff
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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29
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van Elmpt W, Zegers CML, Das M, De Ruysscher D. Imaging techniques for tumour delineation and heterogeneity quantification of lung cancer: overview of current possibilities. J Thorac Dis 2014; 6:319-27. [PMID: 24688776 DOI: 10.3978/j.issn.2072-1439.2013.08.62] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2013] [Accepted: 08/21/2013] [Indexed: 01/05/2023]
Abstract
Imaging techniques for the characterization and delineation of primary lung tumours and lymph nodes are a prerequisite for adequate radiotherapy. Numerous imaging modalities have been proposed for this purpose, but only computed tomography (CT) and FDG-PET have been implemented in clinical routine. Hypoxia PET, dynamic contrast-enhanced CT (DCE-CT), dual energy CT (DECT) and (functional) magnetic resonance imaging (MRI) hold promise for the future. Besides information on the primary tumour, these techniques can be used for quantification of tissue heterogeneity and response. In the future, treatment strategies may be designed which are based on imaging techniques to optimize individual treatment.
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Affiliation(s)
- Wouter van Elmpt
- 1 Department of Radiation Oncology (MAASTRO), 2 Department of Radiology, GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands ; 3 Radiation Oncology, University Hospitals Leuven/KU Leuven, Leuven, Belgium
| | - Catharina M L Zegers
- 1 Department of Radiation Oncology (MAASTRO), 2 Department of Radiology, GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands ; 3 Radiation Oncology, University Hospitals Leuven/KU Leuven, Leuven, Belgium
| | - Marco Das
- 1 Department of Radiation Oncology (MAASTRO), 2 Department of Radiology, GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands ; 3 Radiation Oncology, University Hospitals Leuven/KU Leuven, Leuven, Belgium
| | - Dirk De Ruysscher
- 1 Department of Radiation Oncology (MAASTRO), 2 Department of Radiology, GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands ; 3 Radiation Oncology, University Hospitals Leuven/KU Leuven, Leuven, Belgium
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