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Hoffmann E, Masthoff M, Kunz WG, Seidensticker M, Bobe S, Gerwing M, Berdel WE, Schliemann C, Faber C, Wildgruber M. Multiparametric MRI for characterization of the tumour microenvironment. Nat Rev Clin Oncol 2024; 21:428-448. [PMID: 38641651 DOI: 10.1038/s41571-024-00891-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2024] [Indexed: 04/21/2024]
Abstract
Our understanding of tumour biology has evolved over the past decades and cancer is now viewed as a complex ecosystem with interactions between various cellular and non-cellular components within the tumour microenvironment (TME) at multiple scales. However, morphological imaging remains the mainstay of tumour staging and assessment of response to therapy, and the characterization of the TME with non-invasive imaging has not yet entered routine clinical practice. By combining multiple MRI sequences, each providing different but complementary information about the TME, multiparametric MRI (mpMRI) enables non-invasive assessment of molecular and cellular features within the TME, including their spatial and temporal heterogeneity. With an increasing number of advanced MRI techniques bridging the gap between preclinical and clinical applications, mpMRI could ultimately guide the selection of treatment approaches, precisely tailored to each individual patient, tumour and therapeutic modality. In this Review, we describe the evolving role of mpMRI in the non-invasive characterization of the TME, outline its applications for cancer detection, staging and assessment of response to therapy, and discuss considerations and challenges for its use in future medical applications, including personalized integrated diagnostics.
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Affiliation(s)
- Emily Hoffmann
- Clinic of Radiology, University of Münster, Münster, Germany
| | - Max Masthoff
- Clinic of Radiology, University of Münster, Münster, Germany
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Max Seidensticker
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Stefanie Bobe
- Gerhard Domagk Institute of Pathology, University Hospital Münster, Münster, Germany
| | - Mirjam Gerwing
- Clinic of Radiology, University of Münster, Münster, Germany
| | | | | | - Cornelius Faber
- Clinic of Radiology, University of Münster, Münster, Germany
| | - Moritz Wildgruber
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany.
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Welsh SJ, Thompson N, Warren A, Priest AN, Barrett T, Ursprung S, Gallagher FA, Zaccagna F, Stewart GD, Fife KM, Matakidou A, Machin AJ, Qian W, Ingleson V, Mullin J, Riddick ACP, Armitage JN, Connolly S, Eisen TGQ. Dynamic biomarker and imaging changes from a phase II study of pre- and post-surgical sunitinib. BJU Int 2022; 130:244-253. [PMID: 34549873 DOI: 10.1111/bju.15600] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To explore translational biological and imaging biomarkers for sunitinib treatment before and after debulking nephrectomy in the NeoSun (European Union Drug Regulating Authorities Clinical Trials Database [EudraCT] number: 2005-004502-82) single-centre, single-arm, single-agent, Phase II trial. PATIENTS AND METHODS Treatment-naïve patients with metastatic renal cell carcinoma (mRCC) received 50 mg once daily sunitinib for 12 days pre-surgically, then post-surgery on 4 week-on, 2 week-off, repeating 6-week cycles until disease progression in a single arm phase II trial. Structural and dynamic contrast-enhanced magnet resonance imaging (DCE-MRI) and research blood sampling were performed at baseline and after 12 days. Computed tomography imaging was performed at baseline and post-surgery then every two cycles. The primary endpoint was objective response rate (Response Evaluation Criteria In Solid Tumors [RECIST]) excluding the resected kidney. Secondary endpoints included changes in DCE-MRI of the tumour following pre-surgery sunitinib, overall survival (OS), progression-free survival (PFS), response duration, surgical morbidity/mortality, and toxicity. Translational and imaging endpoints were exploratory. RESULTS A total of 14 patients received pre-surgery sunitinib, 71% (10/14) took the planned 12 doses. All underwent nephrectomy, and 13 recommenced sunitinib postoperatively. In all, 58.3% (seven of 12) of patients achieved partial or complete response (PR or CR) (95% confidence interval 27.7-84.8%). The median OS was 33.7 months and median PFS was 15.7 months. Amongst those achieving a PR or CR, the median response duration was 8.7 months. No unexpected surgical complications, sunitinib-related toxicities, or surgical delays occurred. Within the translational endpoints, pre-surgical sunitinib significantly increased necrosis, and reduced cluster of differentiation-31 (CD31), Ki67, circulating vascular endothelial growth factor-C (VEGF-C), and transfer constant (KTrans , measured using DCE-MRI; all P < 0.05). There was a trend for improved OS in patients with high baseline plasma VEGF-C expression (P = 0.02). Reduction in radiological tumour volume after pre-surgical sunitinib correlated with high percentage of solid tumour components at baseline (Spearman's coefficient ρ = 0.69, P = 0.02). Conversely, the percentage tumour volume reduction correlated with lower baseline percentage necrosis (coefficient = -0.51, P = 0.03). CONCLUSION Neoadjuvant studies such as the NeoSun can safely and effectively explore translational biological and imaging endpoints.
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Affiliation(s)
- Sarah J Welsh
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Department of Surgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
| | - Nicola Thompson
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Anne Warren
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
- Department of Pathology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Andrew N Priest
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Tristan Barrett
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Stephan Ursprung
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Ferdia A Gallagher
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Fulvio Zaccagna
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Grant D Stewart
- Department of Surgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
| | - Kate M Fife
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
| | - Athena Matakidou
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
- GlaxoSmithKline, Brentford, UK
| | - Andrea J Machin
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Wendi Qian
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Victoria Ingleson
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Jean Mullin
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Antony C P Riddick
- Department of Surgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
| | - James N Armitage
- Department of Surgery, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
| | - Stephen Connolly
- Department of Urology, Mater Misericordiae University Hospital, University College Dublin, Dublin 7, Ireland
| | - Timothy G Q Eisen
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Cancer Research UK Cambridge Centre Urological Malignancies Programme, University of Cambridge, Cambridge, UK
- Roche, Welwyn Garden City, UK
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3
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Ursprung S, Priest AN, Zaccagna F, Qian W, Machin A, Stewart GD, Warren AY, Eisen T, Welsh SJ, Gallagher FA, Barrett T. Multiparametric MRI for assessment of early response to neoadjuvant sunitinib in renal cell carcinoma. PLoS One 2021; 16:e0258988. [PMID: 34699525 PMCID: PMC8547646 DOI: 10.1371/journal.pone.0258988] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 10/08/2021] [Indexed: 11/29/2022] Open
Abstract
PURPOSE To detect early response to sunitinib treatment in metastatic clear cell renal cancer (mRCC) using multiparametric MRI. METHOD Participants with mRCC undergoing pre-surgical sunitinib therapy in the prospective NeoSun clinical trial (EudraCtNo: 2005-004502-82) were imaged before starting treatment, and after 12 days of sunitinib therapy using morphological MRI sequences, advanced diffusion-weighted imaging, measurements of R2* (related to hypoxia) and dynamic contrast-enhanced imaging. Following nephrectomy, participants continued treatment and were followed-up with contrast-enhanced CT. Changes in imaging parameters before and after sunitinib were assessed with the non-parametric Wilcoxon signed-rank test and the log-rank test was used to assess effects on survival. RESULTS 12 participants fulfilled the inclusion criteria. After 12 days, the solid and necrotic tumor volumes decreased by 28% and 17%, respectively (p = 0.04). However, tumor-volume reduction did not correlate with progression-free or overall survival (PFS/OS). Sunitinib therapy resulted in a reduction in median solid tumor diffusivity D from 1298x10-6 to 1200x10-6mm2/s (p = 0.03); a larger decrease was associated with a better RECIST response (p = 0.02) and longer PFS (p = 0.03) on the log-rank test. An increase in R2* from 19 to 28s-1 (p = 0.001) was observed, paralleled by a decrease in Ktrans from 0.415 to 0.305min-1 (p = 0.01) and a decrease in perfusion fraction from 0.34 to 0.19 (p<0.001). CONCLUSIONS Physiological imaging confirmed efficacy of the anti-angiogenic agent 12 days after initiating therapy and demonstrated response to treatment. The change in diffusivity shortly after starting pre-surgical sunitinib correlated to PFS in mRCC undergoing nephrectomy, however, no parameter predicted OS. TRIAL REGISTRATION EudraCtNo: 2005-004502-82.
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Affiliation(s)
- Stephan Ursprung
- University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
| | - Andrew N. Priest
- University of Cambridge, Cambridge, United Kingdom
- Addenbrooke’s Hospital, Cambridge University Hospital NHS Foundation Trust, Cambridge, United Kingdom
| | | | - Wendi Qian
- University of Cambridge, Cambridge, United Kingdom
- Cambridge Cancer Trial Centre, Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Andrea Machin
- University of Cambridge, Cambridge, United Kingdom
- Cambridge Cancer Trial Centre, Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Grant D. Stewart
- University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Addenbrooke’s Hospital, Cambridge University Hospital NHS Foundation Trust, Cambridge, United Kingdom
| | - Anne Y. Warren
- University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Addenbrooke’s Hospital, Cambridge University Hospital NHS Foundation Trust, Cambridge, United Kingdom
| | - Timothy Eisen
- University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Addenbrooke’s Hospital, Cambridge University Hospital NHS Foundation Trust, Cambridge, United Kingdom
| | - Sarah J. Welsh
- University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Addenbrooke’s Hospital, Cambridge University Hospital NHS Foundation Trust, Cambridge, United Kingdom
| | - Ferdia A. Gallagher
- University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
| | - Tristan Barrett
- University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, United Kingdom
- Addenbrooke’s Hospital, Cambridge University Hospital NHS Foundation Trust, Cambridge, United Kingdom
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Feasibility Study on Using Dynamic Contrast Enhanced MRI to Assess the Effect of Tyrosine Kinase Inhibitor Therapy within the STAR Trial of Metastatic Renal Cell Cancer. Diagnostics (Basel) 2021; 11:diagnostics11071302. [PMID: 34359384 PMCID: PMC8306403 DOI: 10.3390/diagnostics11071302] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/06/2021] [Accepted: 07/16/2021] [Indexed: 01/04/2023] Open
Abstract
Objective: To identify dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters predictive of early disease progression in patients with metastatic renal cell cancer (mRCC) treated with anti-angiogenic tyrosine kinase inhibitors (TKI). Methods: The study was linked to a phase II/III randomised control trial. Patients underwent DCE-MRI before, at 4- and 10-weeks after initiation of TKI. DCE-MRI parameters at each time-point were derived from a single-compartment tracer kinetic model, following semi-automated tumour segmentation by two independent readers. Primary endpoint was correlation of DCE-MRI parameters with disease progression at 6-months. Receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) values were calculated for parameters associated with disease progression at 6 months. Inter-observer agreement was assessed using the intraclass correlation coefficient (ICC). Results: 23 tumours in 14 patients were measurable. Three patients had disease progression at 6 months. The percentage (%) change in perfused tumour volume between baseline and 4-week DCE-MRI (p = 0.016), mean transfer constant Ktrans change (p = 0.038), and % change in extracellular volume (p = 0.009) between 4- and 10-week MRI, correlated with early disease progression (AUC 0.879 for each parameter). Inter-observer agreement was excellent for perfused tumour volume, Ktrans and extracellular volume (ICC: 0.928, 0.949, 0.910 respectively). Conclusions: Early measurement of DCE-MRI biomarkers of tumour perfusion at 4- and 10-weeks predicts disease progression at 6-months following TKI therapy in mRCC.
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Wang YT, Yan X, Pu H, Yin LL. In vivo evaluation of early renal damage in type 2 diabetic patients on 3.0 T MR diffusion tensor imaging. World J Radiol 2018; 10:83-90. [PMID: 30190800 PMCID: PMC6120998 DOI: 10.4329/wjr.v10.i8.83] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Revised: 06/26/2018] [Accepted: 07/10/2018] [Indexed: 02/07/2023] Open
Abstract
AIM To investigate the utility of renal diffusion tensor imaging (DTI) to detect early renal damage in patients with type 2 diabetes.
METHODS Twenty-six diabetic patients (12 with microalbuminuria (MAU), and 14 with normoalbuminuria) and fourteen healthy volunteers were prospectively included in this study. Renal DTI on 3.0 T MR was performed, and estimated glomerular filtration rate (eGFR) was recorded for each subject. Mean cortical and medullary fractional anisotropy (FA) values were calculated by placing multiple representative regions of interest. Mean FA values were statistically compared among groups. Correlations between FA values and eGFR were evaluated.
RESULTS Both cortical and medullary FA were significantly reduced in diabetic patients compared to healthy controls (0.403 ± 0.064 vs 0.463 ± 0.047, P = 0.004, and 0.556 ± 0.084 vs 0.645 ± 0.076, P = 0.002, respectively). Cortical FA was significantly lower in diabetic patients with NAU than healthy controls (0.412 ± 0.068 vs 0.463 ± 0.047, P = 0.02). Medullary FA in diabetic patients with NAU and healthy controls were similar (0.582 ± 0.096 vs 0.645 ± 0.076, P = 0.06). Both cortical FA and medullary FA correlated with eGFR (r = 0.382, P = 0.015 and r = 0.552, P = 0.000, respectively).
CONCLUSION FA of renal parenchyma on DTI might serve as a more sensitive biomarker of early diabetic nephropathy than MAU.
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Affiliation(s)
- Yu-Ting Wang
- Department of Radiology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan Province, China
| | - Xiong Yan
- Department of Radiology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan Province, China
| | - Hong Pu
- Department of Radiology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan Province, China
| | - Long-Lin Yin
- Department of Radiology, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu 611731, Sichuan Province, China
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The prognostic and predictive value of vascular response parameters measured by dynamic contrast-enhanced-CT, -MRI and -US in patients with metastatic renal cell carcinoma receiving sunitinib. Eur Radiol 2018; 28:2281-2290. [DOI: 10.1007/s00330-017-5220-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 11/05/2017] [Accepted: 11/28/2017] [Indexed: 12/20/2022]
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Lebastchi AH, Watson MJ, Russell CM, George AK, Weizer AZ, Turkbey B. Using Imaging to Predict Treatment Response in Genitourinary Malignancies. Eur Urol Focus 2017; 4:804-817. [PMID: 28918178 DOI: 10.1016/j.euf.2017.09.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Revised: 08/09/2017] [Accepted: 09/01/2017] [Indexed: 02/08/2023]
Abstract
CONTEXT Over the previous2 decades, there have been numerous advancements in the diagnostic evaluation, therapeutic management, and postoperative assessment of genitourinary malignancies. OBJECTIVE To present a review of current and novel imaging modalities and their utility in the assessment of therapeutic response in the systemic management of renal, testicular, and prostate cancers. EVIDENCE ACQUISITION A PubMed/Medline search of the current published literature inclusive of prospective and retrospective original research, systematic reviews, and meta-analyses was conducted evaluating imaging modalities for renal cell carcinoma, prostate cancer, and testicular cancer. All relevant literature was individually reviewed and summarized to provide a concise description of the currently available imaging modalities and their efficacy in assessing treatment response of the genitourinary malignancies targeted in this review. EVIDENCE SYNTHESIS Conventional imaging techniques play a pivotal role in predicting the treatment response of genitourinary malignancies and have, therefore, been incorporated into clinical guidelines. Advancements in imaging technology have led to increased utilization for prognostication of a genitourinary cancer's response to therapy. CONCLUSIONS A good understanding of current recommended imaging techniques to evaluate treatment response in genitourinary malignancies is of paramount importance for today's clinician, who faces increasing treatment modalities. PATIENT SUMMARY In this review, we summarize available imaging modalities in the evaluation of treatment response in kidney, prostate, or testicular tumors. We believe that a good understanding of current imaging modalities is of paramount importance for healthcare providers treating these cancers.
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Affiliation(s)
- Amir H Lebastchi
- Department of Urology, University of Michigan, Ann Arbor, Michigan, USA
| | - Matthew J Watson
- National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Arvin K George
- National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Alon Z Weizer
- Department of Urology, University of Michigan, Ann Arbor, Michigan, USA
| | - Baris Turkbey
- National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
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Yin Q, Hung SC, Wang L, Lin W, Fielding JR, Rathmell WK, Khandani AH, Woods ME, Milowsky MI, Brooks SA, Wallen EM, Shen D. Associations between Tumor Vascularity, Vascular Endothelial Growth Factor Expression and PET/MRI Radiomic Signatures in Primary Clear-Cell-Renal-Cell-Carcinoma: Proof-of-Concept Study. Sci Rep 2017; 7:43356. [PMID: 28256615 PMCID: PMC5335708 DOI: 10.1038/srep43356] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Accepted: 01/23/2017] [Indexed: 12/25/2022] Open
Abstract
Studies have shown that tumor angiogenesis is an essential process for tumor growth, proliferation and metastasis. Also, tumor angiogenesis is an important prognostic factor of clear cell renal cell carcinoma (ccRCC), as well as a factor in guiding treatment with antiangiogenic agents. Here, we attempted to find the associations between tumor angiogenesis and radiomic imaging features from PET/MRI. Specifically, sparse canonical correlation analysis was conducted on 3 feature datasets (i.e., radiomic imaging features, tumor microvascular density (MVD), and vascular endothelial growth factor (VEGF) expression) from 9 patients with primary ccRCC. In order to overcome the potential bias of intratumoral heterogeneity of angiogenesis, this study investigated the relationship between regional expressions of angiogenesis and VEGF, and localized radiomic features from different parts within the tumors. Our study highlighted the significant strong correlations between radiomic features and MVD, and also demonstrated that the spatiotemporal features extracted from DCE-MRI provided stronger radiomic correlation to MVD than the textural features extracted from Dixon sequences and FDG PET. Furthermore, PET/MRI, which takes advantage of the combined functional and structural information, had higher radiomics correlation to MVD than solely utilizing PET or MRI alone.
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Affiliation(s)
- Qingbo Yin
- College of Information Science and Technology, Dalian Maritime University, Dalian, 116023, China.,Department of Radiology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Sheng-Che Hung
- Department of Radiology, Taipei Veterans General Hospital, Taipei, 11217, Taiwan.,School of Medicine, National Yang-Ming University, Taipei, 11221, Taiwan.,Department of Biomedical Imaging and Radiological Sciences, School of Biomedical Science of Engineering, National Yang-Ming University, Taipei, 11221, Taiwan
| | - Li Wang
- Department of Radiology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Weili Lin
- Department of Radiology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Julia R Fielding
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - W Kimryn Rathmell
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA.,Department of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA.,Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA.,Vanderbilt Ingram Cancer Center, Vanderbilt University, Nashville, TN 37232, USA
| | - Amir H Khandani
- Department of Radiology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Michael E Woods
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA.,Department of Urology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Matthew I Milowsky
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA.,Department of Medicine, University of North Carolina, Chapel Hill, NC 27599, USA.,Department of Urology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Samira A Brooks
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Eric M Wallen
- Department of Urology, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Dinggang Shen
- Department of Radiology, University of North Carolina, Chapel Hill, NC 27599, USA.,Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea
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Jerome NP, Miyazaki K, Collins DJ, Orton MR, d'Arcy JA, Wallace T, Moreno L, Pearson ADJ, Marshall LV, Carceller F, Leach MO, Zacharoulis S, Koh DM. Repeatability of derived parameters from histograms following non-Gaussian diffusion modelling of diffusion-weighted imaging in a paediatric oncological cohort. Eur Radiol 2017; 27:345-353. [PMID: 27003140 PMCID: PMC5127877 DOI: 10.1007/s00330-016-4318-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Revised: 02/29/2016] [Accepted: 03/02/2016] [Indexed: 12/18/2022]
Abstract
OBJECTIVES To examine repeatability of parameters derived from non-Gaussian diffusion models in data acquired in children with solid tumours. METHODS Paediatric patients (<16 years, n = 17) were scanned twice, 24 h apart, using DWI (6 b-values, 0-1000 mm-2 s) at 1.5 T in a prospective study. Tumour ROIs were drawn (3 slices) and all data fitted using IVIM, stretched exponential, and kurtosis models; percentage coefficients of variation (CV) calculated for each parameter at all ROI histogram centiles, including the medians. RESULTS The values for ADC, D, DDCα, α, and DDCK gave CV < 10 % down to the 5th centile, with sharp CV increases below 5th and above 95th centile. K, f, and D* showed increased CV (>30 %) over the histogram. ADC, D, DDCα, and DDCK were strongly correlated (ρ > 0.9), DDCα and α were not correlated (ρ = 0.083). CONCLUSION Perfusion- and kurtosis-related parameters displayed larger, more variable CV across the histogram, indicating observed clinical changes outside of D/DDC in these models should be interpreted with caution. Centiles below 5th for all parameters show high CV and are unreliable as diffusion metrics. The stretched exponential model behaved well for both DDCα and α, making it a strong candidate for modelling multiple-b-value diffusion imaging data. KEY POINTS • ADC has good repeatability as low 5th centile of the histogram distribution. • High CV was observed for all parameters at extremes of histogram. • Parameters from the stretched exponential model showed low coefficients of variation. • The median ADC, D, DDC α , and DDC K are highly correlated and repeatable. • Perfusion/kurtosis parameters showed high CV variations across their histogram distributions.
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Affiliation(s)
- Neil P Jerome
- Division of Radiotherapy & Imaging, The Institute of Cancer Research, Cancer Research UK Cancer Imaging Centre, 123 Old Brompton Road, London, SW7 3RP, UK
| | - Keiko Miyazaki
- Division of Radiotherapy & Imaging, The Institute of Cancer Research, Cancer Research UK Cancer Imaging Centre, 123 Old Brompton Road, London, SW7 3RP, UK
| | - David J Collins
- Division of Radiotherapy & Imaging, The Institute of Cancer Research, Cancer Research UK Cancer Imaging Centre, 123 Old Brompton Road, London, SW7 3RP, UK
| | - Matthew R Orton
- Division of Radiotherapy & Imaging, The Institute of Cancer Research, Cancer Research UK Cancer Imaging Centre, 123 Old Brompton Road, London, SW7 3RP, UK
| | - James A d'Arcy
- Division of Radiotherapy & Imaging, The Institute of Cancer Research, Cancer Research UK Cancer Imaging Centre, 123 Old Brompton Road, London, SW7 3RP, UK
| | - Toni Wallace
- Department of Radiology, Royal Marsden NHS Foundation Trust, Sutton, Surrey, SM2 5PT, UK
| | - Lucas Moreno
- Paediatric Drug Development Team, Division of Cancer Therapeutics and Clinical Studies, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
- Hospital Niño Jesus, Av Menendez Pelayo 65, Madrid, Spain
- Paediatric Drug Development Unit, Children and Young People's Unit, Royal Marsden NHS Foundation Trust, Sutton, Surrey, SM2 5PT, UK
| | - Andrew D J Pearson
- Paediatric Drug Development Team, Division of Cancer Therapeutics and Clinical Studies, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
- Paediatric Drug Development Unit, Children and Young People's Unit, Royal Marsden NHS Foundation Trust, Sutton, Surrey, SM2 5PT, UK
| | - Lynley V Marshall
- Paediatric Drug Development Team, Division of Cancer Therapeutics and Clinical Studies, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
- Paediatric Drug Development Unit, Children and Young People's Unit, Royal Marsden NHS Foundation Trust, Sutton, Surrey, SM2 5PT, UK
| | - Fernando Carceller
- Paediatric Drug Development Team, Division of Cancer Therapeutics and Clinical Studies, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
- Paediatric Drug Development Unit, Children and Young People's Unit, Royal Marsden NHS Foundation Trust, Sutton, Surrey, SM2 5PT, UK
| | - Martin O Leach
- Division of Radiotherapy & Imaging, The Institute of Cancer Research, Cancer Research UK Cancer Imaging Centre, 123 Old Brompton Road, London, SW7 3RP, UK.
| | - Stergios Zacharoulis
- Paediatric Drug Development Team, Division of Cancer Therapeutics and Clinical Studies, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
- Paediatric Drug Development Unit, Children and Young People's Unit, Royal Marsden NHS Foundation Trust, Sutton, Surrey, SM2 5PT, UK
| | - Dow-Mu Koh
- Department of Radiology, Royal Marsden NHS Foundation Trust, Sutton, Surrey, SM2 5PT, UK
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Baker LCJ, Boult JKR, Thomas M, Koehler A, Nayak T, Tessier J, Ooi CH, Birzele F, Belousov A, Zajac M, Horn C, LeFave C, Robinson SP. Acute tumour response to a bispecific Ang-2-VEGF-A antibody: insights from multiparametric MRI and gene expression profiling. Br J Cancer 2016; 115:691-702. [PMID: 27529514 PMCID: PMC5023775 DOI: 10.1038/bjc.2016.236] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 06/03/2016] [Accepted: 07/06/2016] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND To assess antivascular effects, and evaluate clinically translatable magnetic resonance imaging (MRI) biomarkers of tumour response in vivo, following treatment with vanucizumab, a bispecific human antibody against angiopoietin-2 (Ang-2) and vascular endothelial growth factor-A (VEGF-A). METHODS Colo205 colon cancer xenografts were imaged before and 5 days after treatment with a single 10 mg kg(-1) dose of either vanucizumab, bevacizumab (anti-human VEGF-A), LC06 (anti-murine/human Ang-2) or omalizumab (anti-human IgE control). Volumetric response was assessed using T2-weighted MRI, and diffusion-weighted, dynamic contrast-enhanced (DCE) and susceptibility contrast MRI used to quantify tumour water diffusivity (apparent diffusion coefficient (ADC), × 10(6) mm(2) s(-1)), vascular perfusion/permeability (K(trans), min(-1)) and fractional blood volume (fBV, %) respectively. Pathological correlates were sought, and preliminary gene expression profiling performed. RESULTS Treatment with vanucizumab, bevacizumab or LC06 induced a significant (P<0.01) cytolentic response compared with control. There was no significant change in tumour ADC in any treatment group. Uptake of Gd-DTPA was restricted to the tumour periphery in all post-treatment groups. A significant reduction in tumour K(trans) (P<0.05) and fBV (P<0.01) was determined 5 days after treatment with vanucizumab only. This was associated with a significant (P<0.05) reduction in Hoechst 33342 uptake compared with control. Gene expression profiling identified 20 human genes exclusively regulated by vanucizumab, 6 of which are known to be involved in vasculogenesis and angiogenesis. CONCLUSIONS Vanucizumab is a promising antitumour and antiangiogenic treatment, whose antivascular activity can be monitored using DCE and susceptibility contrast MRI. Differential gene expression in vanucizumab-treated tumours is regulated by the combined effect of Ang-2 and VEGF-A inhibition.
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MESH Headings
- Adenocarcinoma/blood supply
- Adenocarcinoma/diagnostic imaging
- Adenocarcinoma/drug therapy
- Adenocarcinoma/pathology
- Angiogenesis Inhibitors/immunology
- Angiogenesis Inhibitors/therapeutic use
- Angiopoietin-2/antagonists & inhibitors
- Angiopoietin-2/immunology
- Animals
- Antibodies, Bispecific/therapeutic use
- Antibodies, Monoclonal/immunology
- Antibodies, Monoclonal/therapeutic use
- Antibodies, Monoclonal, Humanized
- Bevacizumab/therapeutic use
- Cell Line, Tumor
- Colonic Neoplasms/blood supply
- Colonic Neoplasms/diagnostic imaging
- Colonic Neoplasms/drug therapy
- Colonic Neoplasms/pathology
- DNA Replication/drug effects
- Gene Expression Profiling
- Gene Expression Regulation, Neoplastic/drug effects
- Humans
- Immunoglobulin E/immunology
- Magnetic Resonance Imaging/methods
- Mice
- Molecular Targeted Therapy
- Neovascularization, Pathologic/diagnostic imaging
- Neovascularization, Pathologic/drug therapy
- Neovascularization, Pathologic/pathology
- Omalizumab/therapeutic use
- Tumor Burden
- Vascular Endothelial Growth Factor A/antagonists & inhibitors
- Vascular Endothelial Growth Factor A/immunology
- Xenograft Model Antitumor Assays
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Affiliation(s)
- Lauren CJ Baker
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London SM2 5NG, UK
| | - Jessica KR Boult
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London SM2 5NG, UK
| | - Markus Thomas
- Roche Pharma Research and Early Development (pRED), Roche Innovation Center, Penzberg DE-82377, Germany
| | - Astrid Koehler
- Roche Pharma Research and Early Development (pRED), Roche Innovation Center, Penzberg DE-82377, Germany
| | - Tapan Nayak
- Roche pRED, Roche Innovation Center, Basel CH-4070, Switzerland
| | - Jean Tessier
- Roche pRED, Roche Innovation Center, Basel CH-4070, Switzerland
| | - Chia-Huey Ooi
- Roche Pharma Research and Early Development (pRED), Roche Innovation Center, Penzberg DE-82377, Germany
| | - Fabian Birzele
- Roche Pharma Research and Early Development (pRED), Roche Innovation Center, Penzberg DE-82377, Germany
| | - Anton Belousov
- Roche Pharma Research and Early Development (pRED), Roche Innovation Center, Penzberg DE-82377, Germany
| | | | - Carsten Horn
- Roche pRED, Roche Innovation Center, Basel CH-4070, Switzerland
| | - Clare LeFave
- Roche pRED, Roche Innovation Center, New York, NY 10016, USA
| | - Simon P Robinson
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London SM2 5NG, UK
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11
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Zhu J, Zhang F, Luan Y, Cao P, Liu F, He W, Wang D. Can Dynamic Contrast-Enhanced MRI (DCE-MRI) and Diffusion-Weighted MRI (DW-MRI) Evaluate Inflammation Disease: A Preliminary Study of Crohn's Disease. Medicine (Baltimore) 2016; 95:e3239. [PMID: 27057860 PMCID: PMC4998776 DOI: 10.1097/md.0000000000003239] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The aim of the study was to investigate diagnosis efficacy of dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted MRI (DW-MRI) in Crohn's disease (CD). To find out the correlations between functional MRI parameters including K, Kep, Ve, Vp, and apparent diffusion coefficient (ADC) with a serologic biomarker. The relationships between pharmacokinetic parameters and ADC were also studied.Thirty-two patients with CD (22 men, 10 women; mean age: 30.5 years) and 18 healthy volunteers without any inflammatory disease (10 men, 8 women; mean age, 34.11 years) were enrolled into this approved prospective study. Pearson analysis was used to evaluate the correlation between K, Kep, Ve, Vp, and C-reactive protein (CRP), ADC, and CRP respectively. The diagnostic efficacy of the functional MRI parameters in terms of sensitivity and specificity were analyzed by receiver operating characteristic (ROC) curve analyses. Optimal cut-off values of each functional MRI parameters for differentiation of inflammatory from normal bowel were determined according to the Youden criterion.Mean value of K in the CD group was significantly higher than that of normal control group. Similar results were observed for Kep and Ve. On the contrary, the ADC value was lower in the CD group than that in the control group. K and Ve were shown to be correlated with CRP (r = 0.725, P < 0.001; r = 0.533, P = 0.002), meanwhile ADC showed negative correlation with CRP (r = -0.630, P < 0.001). There were negative correlations between the pharmacokinetic parameters and ADC, such as K to ADC (r = -0.856, P < 0.001), and Ve to ADC (r = -0.451, P = 0.01). The area under the curve (AUC) was 0.994 for K (P < 0.001), 0.905 for ADC (P < 0.001), 0.806 for Ve (P < 0.001), and 0.764 for Kep (P = 0.002). The cut-off point of the K was found to be 0.931 min. This value provided the best trade-off between sensitivity (93.8%) and specificity (100%). The best cut-off point of ADC was 1.11 × 10 mm/s. At this level, sensitivity was 100% and specificity was 68.8%.DCE-MRI and DW-MRI were helpful in the diagnosis of CD. Quantitative MRI parameters could be used to assess the severity of inflammation. The relationships between pharmacokinetic parameters (K and Ve) and ADC reflected microstructure and microcirculation of CD to some extent.
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Affiliation(s)
- Jianguo Zhu
- From the Department of Radiology (JZhu, DWang), The First Affiliated Hospital of Nanjing Medical University; Department of Gastroenterology (FZhang), The Second Affiliated Hospital of Nanjing Medical University; Department of Ultrasound (YLuan), Affiliated Hospital of Nanjing University of Traditional Chinese Medicine, Nanjing; GE HealthCare (China) (PCao), Shanghai; and Department of Radiology (JZhu, FLiu, WHe), The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
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12
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Wu Y, Kwon YS, Labib M, Foran DJ, Singer EA. Magnetic Resonance Imaging as a Biomarker for Renal Cell Carcinoma. DISEASE MARKERS 2015; 2015:648495. [PMID: 26609190 PMCID: PMC4644550 DOI: 10.1155/2015/648495] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2015] [Revised: 09/27/2015] [Accepted: 09/30/2015] [Indexed: 02/07/2023]
Abstract
As the most common neoplasm arising from the kidney, renal cell carcinoma (RCC) continues to have a significant impact on global health. Conventional cross-sectional imaging has always served an important role in the staging of RCC. However, with recent advances in imaging techniques and postprocessing analysis, magnetic resonance imaging (MRI) now has the capability to function as a diagnostic, therapeutic, and prognostic biomarker for RCC. For this narrative literature review, a PubMed search was conducted to collect the most relevant and impactful studies from our perspectives as urologic oncologists, radiologists, and computational imaging specialists. We seek to cover advanced MR imaging and image analysis techniques that may improve the management of patients with small renal mass or metastatic renal cell carcinoma.
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Affiliation(s)
- Yan Wu
- Center for Biomedical Imaging & Informatics, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA
- Department of Radiology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA
| | - Young Suk Kwon
- Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA
| | - Mina Labib
- Department of Radiology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA
| | - David J. Foran
- Department of Radiology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA
- Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA
| | - Eric A. Singer
- Center for Biomedical Imaging & Informatics, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA
- Section of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ 08903, USA
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13
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Miyazaki K, Jerome NP, Collins DJ, Orton MR, d’Arcy JA, Wallace T, Moreno L, Pearson ADJ, Marshall LV, Carceller F, Leach MO, Zacharoulis S, Koh DM. Demonstration of the reproducibility of free-breathing diffusion-weighted MRI and dynamic contrast enhanced MRI in children with solid tumours: a pilot study. Eur Radiol 2015; 25:2641-50. [PMID: 25773937 PMCID: PMC4529450 DOI: 10.1007/s00330-015-3666-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2014] [Revised: 01/30/2015] [Accepted: 02/12/2015] [Indexed: 12/22/2022]
Abstract
OBJECTIVES The objectives are to examine the reproducibility of functional MR imaging in children with solid tumours using quantitative parameters derived from diffusion-weighted (DW-) and dynamic contrast enhanced (DCE-) MRI. METHODS Patients under 16-years-of age with confirmed diagnosis of solid tumours (n = 17) underwent free-breathing DW-MRI and DCE-MRI on a 1.5 T system, repeated 24 hours later. DW-MRI (6 b-values, 0-1000 sec/mm(2)) enabled monoexponential apparent diffusion coefficient estimation using all (ADC0-1000) and only ≥100 sec/mm(2) (ADC100-1000) b-values. DCE-MRI was used to derive the transfer constant (K(trans)), the efflux constant (kep), the extracellular extravascular volume (ve), and the plasma fraction (vp), using a study cohort arterial input function (AIF) and the extended Tofts model. Initial area under the gadolinium enhancement curve and pre-contrast T1 were also calculated. Percentage coefficients of variation (CV) of all parameters were calculated. RESULTS The most reproducible cohort parameters were ADC100-1000 (CV = 3.26%), pre-contrast T1 (CV = 6.21%), and K(trans) (CV = 15.23%). The ADC100-1000 was more reproducible than ADC0-1000, especially extracranially (CV = 2.40% vs. 2.78%). The AIF (n = 9) derived from this paediatric population exhibited sharper and earlier first-pass and recirculation peaks compared with the literature's adult population average. CONCLUSIONS Free-breathing functional imaging protocols including DW-MRI and DCE-MRI are well-tolerated in children aged 6 - 15 with good to moderate measurement reproducibility. KEY POINTS • Diffusion MRI protocol is feasible and well-tolerated in a paediatric oncology population. • DCE-MRI for pharmacokinetic evaluation is feasible and well tolerated in a paediatric oncology population. • Paediatric arterial input function (AIF) shows systematic differences from the adult population-average AIF. • Variation of quantitative parameters from paired functional MRI measurements were within 20%.
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Affiliation(s)
- Keiko Miyazaki
- Cancer Research UK Cancer Imaging Centre at The Institute of Cancer Research, London, SM2 5NG UK
| | - Neil P. Jerome
- Cancer Research UK Cancer Imaging Centre at The Institute of Cancer Research, London, SM2 5NG UK
| | - David J. Collins
- Cancer Research UK Cancer Imaging Centre at The Institute of Cancer Research, London, SM2 5NG UK
| | - Matthew R. Orton
- Cancer Research UK Cancer Imaging Centre at The Institute of Cancer Research, London, SM2 5NG UK
| | - James A. d’Arcy
- Cancer Research UK Cancer Imaging Centre at The Institute of Cancer Research, London, SM2 5NG UK
| | - Toni Wallace
- Department of Radiology, Royal Marsden Hospital, London, England UK
| | - Lucas Moreno
- Paediatric Drug Development Team, Divisions of Cancer Therapeutics and Clinical Studies, The Institute of Cancer Research, London, SM2 5NG UK
- Clinical Research Programme, Spanish National Cancer Research Centre (CNIO), Melchor Fernandez Almagro 3, 28029 Madrid, Spain
- Paediatric Drug Development Unit, Children and Young People’s Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT UK
| | - Andrew D. J. Pearson
- Paediatric Drug Development Team, Divisions of Cancer Therapeutics and Clinical Studies, The Institute of Cancer Research, London, SM2 5NG UK
- Paediatric Drug Development Unit, Children and Young People’s Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT UK
| | - Lynley V. Marshall
- Paediatric Drug Development Team, Divisions of Cancer Therapeutics and Clinical Studies, The Institute of Cancer Research, London, SM2 5NG UK
- Paediatric Drug Development Unit, Children and Young People’s Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT UK
| | - Fernando Carceller
- Paediatric Drug Development Team, Divisions of Cancer Therapeutics and Clinical Studies, The Institute of Cancer Research, London, SM2 5NG UK
- Paediatric Drug Development Unit, Children and Young People’s Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT UK
| | - Martin O. Leach
- Cancer Research UK Cancer Imaging Centre at The Institute of Cancer Research, London, SM2 5NG UK
| | - Stergios Zacharoulis
- Paediatric Drug Development Team, Divisions of Cancer Therapeutics and Clinical Studies, The Institute of Cancer Research, London, SM2 5NG UK
- Paediatric Drug Development Unit, Children and Young People’s Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, SM2 5PT UK
| | - Dow-Mu Koh
- Department of Radiology, Royal Marsden Hospital, London, England UK
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14
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Dynamic contrast-enhanced computed tomography as a potential biomarker in patients with metastatic renal cell carcinoma: preliminary results from the Danish Renal Cancer Group Study-1. Invest Radiol 2015; 49:601-7. [PMID: 24691140 DOI: 10.1097/rli.0000000000000058] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVES The aim of this study was to explore the impact of dynamic contrast-enhanced (DCE) computer tomography (CT) as a biomarker in metastatic renal cell carcinoma (mRCC). MATERIALS AND METHODS Twelve patients with favorable or intermediate Memorial Sloan Kettering Cancer Center risk group and clear cell mRCC participating in an ongoing prospective randomized phase II trial comprising interleukin-2-based immunotherapy and bevacizumab were included in this preliminary analysis. All patients had a follow-up time of at least 2 years. Interpretation of DCE-CT (max slope method) was performed blinded to treatment group. The DCE-CT scans were performed at baseline, at weeks 5 and 10, and thereafter every third month. Blood flow (BF; mL/min/100 mL), peak enhancement (Hounsfield units), time to peak (seconds), and blood volume (BV; mL/100 g) were calculated. Parameters for DCE-CT were correlated with sum of diameters (defined by Response Evaluation Criteria in Solid Tumors 1.1), progression-free survival (PFS), and overall survival (OS) using Wilcoxon, Man-Whitney, Kaplan-Meier, and log rank statistics, as appropriate. RESULTS Blood flow at baseline ranged from 4.9 to 148.1 mL/min/100 mL (median, 62.2; 25th percentile, 25.8; 75th percentile, 110.0). Patients with high baseline BF (using quartiles as cutoffs) had significantly longer OS (not reached vs 5.2 months, P = 0.011) and longer PFS (not reached vs 3.9 months, P = 0.026). Blood volume at baseline ranged from 8.8 to 74.1 mL/100 g tissue (median, 21.5), and at week 5, from 4.9 to 34.7 mL/100 g (median, 17.2). Relative changes in BV between baseline and week 5 ranged from -64% to +68% (median, -16%; 25th percentile, -41%; 75th percentile, +2%) and were significantly associated with OS using quartiles as cutoffs (5.2 months vs not reached, P = 0.038) and PFS using the median as cutoff (5.3 months vs not reached, P = 0.009), with larger reductions associated with longer survival. Using medians as cutoffs, relative changes in both BF and BV between baseline and week 10 were significantly associated with OS (for both, 8.6 months vs not reached, P = 0.031). CONCLUSIONS Dynamic contrast-enhanced CT is a potential biomarker in patients with mRCC. High baseline BF and reductions in BF and BV during early treatment are associated with improved outcome. Large-scale studies are required.
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15
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Winfield JM, Payne GS, deSouza NM. Functional MRI and CT biomarkers in oncology. Eur J Nucl Med Mol Imaging 2015; 42:562-78. [PMID: 25578953 DOI: 10.1007/s00259-014-2979-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Accepted: 12/15/2014] [Indexed: 02/07/2023]
Abstract
Imaging biomarkers derived from MRI or CT describe functional properties of tumours and normal tissues. They are finding increasing numbers of applications in diagnosis, monitoring of response to treatment and assessment of progression or recurrence. Imaging biomarkers also provide scope for assessment of heterogeneity within and between lesions. A wide variety of functional parameters have been investigated for use as biomarkers in oncology. Some imaging techniques are used routinely in clinical applications while others are currently restricted to clinical trials or preclinical studies. Apparent diffusion coefficient, magnetization transfer ratio and native T1 relaxation time provide information about structure and organization of tissues. Vascular properties may be described using parameters derived from dynamic contrast-enhanced MRI, dynamic contrast-enhanced CT, transverse relaxation rate (R2*), vessel size index and relative blood volume, while magnetic resonance spectroscopy may be used to probe the metabolic profile of tumours. This review describes the mechanisms of contrast underpinning each technique and the technical requirements for robust and reproducible imaging. The current status of each biomarker is described in terms of its validation, qualification and clinical applications, followed by a discussion of the current limitations and future perspectives.
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Affiliation(s)
- J M Winfield
- CRUK Imaging Centre at the Institute of Cancer Research, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Sutton, UK,
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16
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García-Figueiras R, Padhani AR, Beer AJ, Baleato-González S, Vilanova JC, Luna A, Oleaga L, Gómez-Caamaño A, Koh DM. Imaging of Tumor Angiogenesis for Radiologists--Part 2: Clinical Utility. Curr Probl Diagn Radiol 2015; 44:425-36. [PMID: 25863438 DOI: 10.1067/j.cpradiol.2015.02.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2014] [Revised: 02/24/2015] [Accepted: 02/28/2015] [Indexed: 12/26/2022]
Abstract
Angiogenesis is a key cancer hallmark involved in tumor growth and metastasis development. Angiogenesis and tumor microenvironment significantly influence the response of tumors to therapies. Imaging techniques have changed our understanding of the process of angiogenesis, the resulting vascular performance, and the tumor microenvironment. This article reviews the status and potential clinical value of the imaging modalities used to assess the status of tumor vasculature in vivo, before, during, and after treatment.
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Affiliation(s)
- Roberto García-Figueiras
- Department of Radiology, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain.
| | - Anwar R Padhani
- Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, Northwood, Middlesex, England, UK
| | - Ambros J Beer
- Klinik für Nuklearmedizin, Universitätsklinikum Ulm; Ulm, Germany
| | - Sandra Baleato-González
- Department of Radiology, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Joan C Vilanova
- Department of Radiology, Clínica Girona, IDI, University of Girona, Girona, Spain
| | - Antonio Luna
- Advanced Medical Imaging, Clinica Las Nieves, SERCOSA (Servicio Radiologia Computerizada), Grupo Health Time, Jaén, Spain; Department of Radiology, Case Western Reserve University, Cleveland, OH
| | - Laura Oleaga
- Department of Radiology, Hospital Clínic Barcelona, Barcelona, Spain
| | - Antonio Gómez-Caamaño
- Department of Radiotherapy, Hospital Clínico Universitario de Santiago de Compostela, Santiago de Compostela, Spain
| | - Dow-Mu Koh
- Functional Imaging, Royal Marsden Hospital, Sutton, Surrey, England, UK
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Valls L, Hoimes C, Sher A, Hu L, Lee Z, Muzic R, Avril N. Early response monitoring of receptor tyrosine kinase inhibitor therapy in metastatic renal cell carcinoma using [F-18]fluorothymidine-positron emission tomography-magnetic resonance. Semin Roentgenol 2014; 49:238-41. [PMID: 25497908 DOI: 10.1053/j.ro.2014.09.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Laia Valls
- Department of Radiology, University Hospitals Case Medical Center, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH
| | - Christopher Hoimes
- Department of Medicine, University Hospitals Case Medical Center, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH
| | - Andrew Sher
- Department of Radiology, University Hospitals Case Medical Center, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH
| | - Lingzhi Hu
- Advanced Molecular Imaging, Philips Healthcare North America, Cleveland, OH
| | - Zhenghong Lee
- Department of Radiology, University Hospitals Case Medical Center, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH
| | - Raymond Muzic
- Department of Radiology, University Hospitals Case Medical Center, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH
| | - Norbert Avril
- Department of Radiology, University Hospitals Case Medical Center, Case Center for Imaging Research, Case Western Reserve University, Cleveland, OH.
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DTI for the assessment of disease stage in patients with glomerulonephritis--correlation with renal histology. Eur Radiol 2014; 25:92-8. [PMID: 25038861 DOI: 10.1007/s00330-014-3336-1] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2014] [Revised: 06/23/2014] [Accepted: 07/09/2014] [Indexed: 12/12/2022]
Abstract
OBJECTIVES To investigate whether DTI allows assessment of renal impairment and pathology in patients with chronic glomerulonephritis. MATERIALS AND METHODS Seventy-five patients and 20 healthy volunteers were enrolled in this study. Renal function and kidney biopsies were evaluated. For DTI, a respiratory-triggered coronal EPI sequence was performed (TR, 1400 ms; TE, 76 ms; diffusion direction, 6; NEX, 4; b values, 0 and 600 s/mm2; slices thickness, 6 mm, with no intersection gap). Renal ADC and FA values were calculated and compared between the groups. Correlations between ADC/FA and histopathology were evaluated. RESULTS ADC values decreased with increased stages. ADC differences in renal parenchyma at different disease stages were found, with the exception of the control group compared with stage 1 patients; similar results were obtained for FA. ADC values in the cortex and medulla in stage 1-3 patients were both statistically different, similar to the FA values. A significant negative correlation was found between the percentage of glomerulosclerosis and FA in the renal cortex (r = -0.74), similar to the degree of tubulointerstitial fibrosis with FA in the medulla (r = -0.76). CONCLUSIONS ADC and FA values are correlated with the degree of renal impairment, the percentage of glomerulosclerosis, and area of interstitial fibrosis. KEY POINTS • DTI can be used to assess renal function impairment in patients with chronic glomerulonephritis. • ADC and FA values were correlated with tubulointerstitial fibrosis and glomerulosclerosis. • Identification of renal impairment is helpful for timely treatment. • DTI can be used for non-invasive assessment of renal pathology.
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Radiological evaluation of response to treatment: Application to metastatic renal cancers receiving anti-angiogenic treatment. Diagn Interv Imaging 2014; 95:527-39. [DOI: 10.1016/j.diii.2013.01.019] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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20
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[Quantitative imaging in uro-oncology]. Prog Urol 2014; 24:399-413. [PMID: 24861679 DOI: 10.1016/j.purol.2014.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2013] [Revised: 02/21/2014] [Accepted: 02/28/2014] [Indexed: 10/25/2022]
Abstract
INTRODUCTION Imaging currently performed in uro-oncology could provide useful information. The use of all this information could help to better understand tumor growth and response to treatment. Therefore, it seems interesting to review the knowledge, to describe the main techniques currently available in many centers or in process and to clarify their results. MATERIALS AND METHODS A systematic literature review was conducted in the PubMed database to identify all imaging techniques performed for therapeutic evaluation in uro-oncology. The keywords used were: cancer, kidney, bladder, prostate, urology biomarkers, imaging, ultrasound, CT-scan, MRI, PET-CT, RECIST, BOLD, ASL, gold DWI Diffusion, contrast, F-miso. The first publications identified were analyzed to search unidentified studies by the selected keywords. RESULTS From simple to more complex morphology data from functional imaging (PET, MRI), data obtained from imaging helps to better understand tumor growth and response to treatment. Although optimizations are coming, all the techniques reported are available in many centers or going to be. CONCLUSION The imaging evaluation in onco-urology can bring a large amount of information. Integrating to research protocols is now essential to sustain this activity.
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Joo I, Lee JM, Han JK, Choi BI. Intravoxel incoherent motion diffusion-weighted MR imaging for monitoring the therapeutic efficacy of the vascular disrupting agent CKD-516 in rabbit VX2 liver tumors. Radiology 2014; 272:417-26. [PMID: 24697148 DOI: 10.1148/radiol.14131165] [Citation(s) in RCA: 71] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE To evaluate the diagnostic value of intravoxel incoherent motion (IVIM) diffusion-weighted (DW) magnetic resonance (MR) imaging in the quantitative assessment of the therapeutic efficacy of a vascular disrupting agent (VDA) (CKD-516) in rabbit VX2 liver tumors. MATERIALS AND METHODS The institutional animal care and use committee approved this study. In 21 VX2 liver tumor-bearing rabbits, IVIM DW imaging examinations were serially performed with a 3.0-T imaging unit by using 12 b values from 0 to 800 sec/mm(2). The apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudodiffusion coefficient (D*), perfusion fraction (f), and blood flow-related parameter (fD*) of tumors at different time points (baseline, 4 hours, 24 hours, 3 days, and 7 days after CKD-516 administration) were compared within the treated group (n = 15) by using the Friedman test as well as between the control (n = 6) and treated groups by using the Mann-Whitney test. Correlation between the change in tumor size and IVIM DW imaging parameters was analyzed by using the Spearman rank test. RESULTS In the treated group, D* and f significantly decreased at 4 hours and then recovered to baseline at 24 hours, while D significantly increased at 24 hours (P < .005). All IVIM-derived parameters showed no significant differences between the control and treated groups at 3- and at 7-day follow-up. The greater decrease observed in f and fD* at 4 hours correlated with the smaller increase in tumor size during the 7 days of follow-up (ρ = 0.53 and 0.65, respectively; P < .05 for both). CONCLUSION The therapeutic effect induced by a VDA could be effectively evaluated by using IVIM DW imaging, and f and fD* may be early predictive indicators of tumor response.
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Affiliation(s)
- Ijin Joo
- From the Department of Radiology (I.J., J.M.L., J.K.H., B.I.C.) and Institute of Radiation Medicine (J.M.L., J.K.H., B.I.C.), Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 110-744, Korea
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Assessing the Response to Targeted Therapies in Renal Cell Carcinoma: Technical Insights and Practical Considerations. Eur Urol 2014; 65:766-77. [DOI: 10.1016/j.eururo.2013.11.031] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2013] [Accepted: 11/18/2013] [Indexed: 12/21/2022]
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Bharwani N, Miquel ME, Powles T, Dilks P, Shawyer A, Sahdev A, Wilson PD, Chowdhury S, Berney DM, Rockall AG. Diffusion-weighted and multiphase contrast-enhanced MRI as surrogate markers of response to neoadjuvant sunitinib in metastatic renal cell carcinoma. Br J Cancer 2013; 110:616-24. [PMID: 24366299 PMCID: PMC3915138 DOI: 10.1038/bjc.2013.790] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2013] [Revised: 11/17/2013] [Accepted: 11/21/2013] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Current imaging criteria for categorising disease response in metastatic renal cell carcinoma (mRCC) correlate poorly with overall survival (OS) in patients on anti-angiogenic therapies. We prospectively assess diffusion-weighted and multiphase contrast-enhanced (MCE) MR imaging (MRI) as markers of outcome. METHODS Treatment-naive mRCC patients on a phase II trial using sunitinib completed an MRI substudy. Whole-tumour apparent diffusion coefficient (ADC) maps and histograms were generated, and mean ADC and AUC(low) (proportion of the tumour with ADC values lying below the 25th percentile of the ADC histogram) recorded. On MCE-MRI, regions of interest were drawn around the most avidly enhancing components to analyse enhancement parameters. Baseline (n=26) and treatment-related changes in surviving patients (n=20) were correlated with OS. Imaged metastases were also analysed. RESULTS Forty-seven per cent of the patients showed significant changes in whole-tumour mean ADC following therapy, but there was no correlation with outcome. Patients with a high baseline AUC(low) and greater-than-median AUC(low) increase had reduced OS (HR=3.67 (95% confidence interval (CI)=1.23-10.9), P=0.012 and HR=3.72 (95% CI=0.98-14.21), P=0.038, respectively). There was no correlation between MCE-MRI parameters and OS. Twenty-eight metastases were analysed and showed positive correlation with primary tumour mean ADC for individual patients (r=0.607; P<0.001). CONCLUSION Primary RCC ADC histogram analysis shows dynamic changes with sunitinib. Patients in whom the tumour ADC histogram demonstrated high baseline AUC(low) or a greater-than-median increase in AUC(low) with treatment had reduced OS.
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Affiliation(s)
- N Bharwani
- Department of Radiology, Barts Health NHS Trust, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK
| | - M E Miquel
- 1] Department of Clinical Physics, Barts Health NHS Trust, St Bartholomew's Hospital, 4th Floor Dominion House, 60 St Bartholomew's Close, London EC1A 7BE, UK [2] Barts and the London NIHR Cardiovascular Biomedical Research Unit, Centre for Advanced Cardiovascular Imaging, Queen Mary University of London, Bonner Road, London E2 9JX, UK
| | - T Powles
- Barts Cancer Institute, Experimental Cancer Medicine Centre, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - P Dilks
- Department of Radiology, Barts Health NHS Trust, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK
| | - A Shawyer
- Department of Radiology, Barts Health NHS Trust, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK
| | - A Sahdev
- Department of Radiology, Barts Health NHS Trust, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK
| | - P D Wilson
- Department of Medical Oncology, St Bartholomew's Hospital, 7th Floor Gloucester House, London EC1A 7BE, UK
| | - S Chowdhury
- Department of Medical Oncology, Guys and St Thomas' NHS Foundation Trust, Great Maze Pond, London SE1 9RT, UK
| | - D M Berney
- Barts Cancer Institute, Molecular Oncology and Cellular Pathology, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - A G Rockall
- Department of Radiology, Barts Health NHS Trust, St Bartholomew's Hospital, King George V Building, West Smithfield, London EC1A 7BE, UK
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Cyran CC, Schwarz B, Paprottka PM, Sourbron S, von Einem JC, Dietrich O, Hinkel R, Clevert DA, Bruns CJ, Reiser MF, Nikolaou K, Wintersperger BJ. In vivo monitoring of sorafenib therapy effects on experimental prostate carcinomas using dynamic contrast-enhanced MRI and macromolecular contrast media. Cancer Imaging 2013; 13:557-66. [PMID: 24380871 PMCID: PMC3876822 DOI: 10.1102/1470-7330.2013.0049] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Purpose: To investigate dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with macromolecular contrast media (MMCM) to monitor the effects of the multikinase inhibitor sorafenib on subcutaneous prostate carcinomas in rats with immunohistochemical validation. Materials and methods: Copenhagen rats, implanted with prostate carcinoma allografts, were randomized to the treatment group (n = 8) or the control group (n = 8). DCE-MRI with albumin-(Gd-DTPA)35 was performed at baseline and after 1 week using a clinical 3-Tesla system. The treatment group received sorafenib, 10 mg/kg body weight daily. Kinetic analysis yielded quantitative parameters of tumor endothelial permeability–surface area product (PS; ml/100 ml/min) and fractional blood volume (Vb, %). Tumors were harvested on day 7 for immunohistochemical analysis. Results: In sorafenib-treated tumors, PS (0.62 ± 0.20 vs 0.08 ± 0.09 ml/100 ml/min; P < 0.01) and Vb (5.1 ± 1.0 vs 0.56 ± 0.48%; P < 0.01) decreased significantly from day 0 to day 7. PS showed a highly significant inverse correlation with tumor cell apoptosis (TUNEL; r = −0.85, P < 0.001). Good, significant correlations of PS were also observed with tumor cell proliferation (Ki-67; r = 0.67, P < 0.01) and tumor vascularity (RECA-1; r = 0.72, P < 0.01). MRI-assayed fractional blood volume Vb showed a highly significant correlation with tumor vascularity (RECA-1; r = 0.87, P < 0.001) and tumor cell proliferation (Ki-67; r = 0.82, P < 0.01). Conclusion: Results of DCE-MRI with MMCM demonstrated good, significant correlations with the immunohistochemically assessed antiangiogenic, antiproliferative, and proapoptotic effects of a 1-week, daily treatment course of sorafenib on experimental prostate carcinoma allografts.
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Affiliation(s)
- Clemens C Cyran
- Department of Clinical Radiology, Laboratory for Experimental Radiology, University of Munich Hospitals - Campus Grosshadern, Ludwig-Maximilians-University Munich, Marchioninistrasse 15, 81377 Munich, Germany; C.C. Cyran and B. Schwarz contributed equally to this research project, and share first authorship
| | - Bettina Schwarz
- Department of Surgery, University of Munich Hospitals - Campus Grosshadern, Ludwig-Maximilians-University Munich, Marchioninistrasse 15, 81377 Munich, Germany; C.C. Cyran and B. Schwarz contributed equally to this research project, and share first authorship
| | - Philipp M Paprottka
- Department of Clinical Radiology, Laboratory for Experimental Radiology, University of Munich Hospitals - Campus Grosshadern, Ludwig-Maximilians-University Munich, Marchioninistrasse 15, 81377 Munich, Germany
| | - Steven Sourbron
- Josef Lissner Laboratory for Biomedical Imaging, Department of Clinical Radiology, University of Munich Hospitals - Campus Grosshadern, Ludwig-Maximilians-University Munich, Marchioninistrasse 15, 81377 Munich, Germany; Division of Medical Physics, University of Leeds, Leeds, UK
| | - Jobst C von Einem
- Department of Clinical Radiology, Laboratory for Experimental Radiology, University of Munich Hospitals - Campus Grosshadern, Ludwig-Maximilians-University Munich, Marchioninistrasse 15, 81377 Munich, Germany
| | - Olaf Dietrich
- Josef Lissner Laboratory for Biomedical Imaging, Department of Clinical Radiology, University of Munich Hospitals - Campus Grosshadern, Ludwig-Maximilians-University Munich, Marchioninistrasse 15, 81377 Munich, Germany
| | - Rabea Hinkel
- Department of Cardiology, University of Munich Hospitals - Campus Grosshadern, Ludwig-Maximilians-University Munich, Marchioninistrasse 15, 81377 Munich, Germany
| | - Dirk A Clevert
- Department of Clinical Radiology, Laboratory for Experimental Radiology, University of Munich Hospitals - Campus Grosshadern, Ludwig-Maximilians-University Munich, Marchioninistrasse 15, 81377 Munich, Germany
| | - Christiane J Bruns
- Department of Surgery, University of Munich Hospitals - Campus Grosshadern, Ludwig-Maximilians-University Munich, Marchioninistrasse 15, 81377 Munich, Germany
| | - Maximilian F Reiser
- Department of Clinical Radiology, Laboratory for Experimental Radiology, University of Munich Hospitals - Campus Grosshadern, Ludwig-Maximilians-University Munich, Marchioninistrasse 15, 81377 Munich, Germany
| | - Konstantin Nikolaou
- Department of Clinical Radiology, Laboratory for Experimental Radiology, University of Munich Hospitals - Campus Grosshadern, Ludwig-Maximilians-University Munich, Marchioninistrasse 15, 81377 Munich, Germany
| | - Bernd J Wintersperger
- Department of Clinical Radiology, Laboratory for Experimental Radiology, University of Munich Hospitals - Campus Grosshadern, Ludwig-Maximilians-University Munich, Marchioninistrasse 15, 81377 Munich, Germany; Department of Medical Imaging, University Health Network, University of Toronto, 585 University Avenue, Toronto ON M5G 2N2, Canada
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León L, García-Figueiras R, García-Figueras R, Suárez C, Arjonilla A, Puente J, Vargas B, Méndez Vidal MJ, Sebastiá C. Recommendations for the clinical and radiological evaluation of response to treatment in metastatic renal cell cancer. Target Oncol 2013; 9:9-24. [PMID: 24338498 DOI: 10.1007/s11523-013-0304-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2013] [Accepted: 11/28/2013] [Indexed: 12/21/2022]
Abstract
The evaluation of response to treatment is a critical step for determining the effectiveness of oncology drugs. Targeted therapies such as tyrosine kinase inhibitors and mammalian target of rapamycin inhibitors are active drugs in patients with metastatic renal cell carcinoma (mRCC). However, treatment with this type of drugs may not result in significant reductions in tumor size, so standard evaluation criteria based on tumor size, such as Response Evaluation Criteria in Solid Tumors (RECIST), may be inappropriate for evaluating response to treatment in patients with mRCC. In fact, targeted therapies apparently yield low response rates that do not reflect increased disease control they may cause and, consequently, the benefit in terms of time to progression. To improve the clinical and radiological evaluation of response to treatment in patients with mRCC treated with targeted drugs, a group of 32 experts in this field have reviewed different aspects related to this issue and have put together a series of recommendations with the intention of providing guidance to clinicians on this matter.
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Affiliation(s)
- Luís León
- Medical Oncology Department, Complejo Hospitalario Universitario de Santiago, A Coruña, Spain,
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[Pharmacological therapy of urogenital cancer: rational routine diagnostic imaging]. Urologe A 2013; 52:1564-73. [PMID: 24197084 DOI: 10.1007/s00120-013-3253-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
BACKGROUND Imaging studies are an integral and important diagnostic modality to stage, monitor, and follow-up patients with metastatic urogenital cancer. The currently available guidelines on diagnosis and treatment of urogenital cancer do not provide the clinician with evidence-based recommendations for daily routine. It is the aim of the current manuscript to develop scientifically valid recommendations with regard to the most appropriate imaging technique and the most useful time interval in metastatic urogenital cancer patients undergoing systemic therapy. RESULTS Therapeutic response of soft tissue metastases is evaluated with the use of the RECIST criteria. In skeletal metastases, bone scans with validated algorithms must be performed to assess response. In patients with testicular germ cell tumors, computed tomography (CT) of the chest, the retroperitoneum, and the abdomen represents the standard imaging technique of choice usually performed prior to and at the end of systemic chemotherapy. Only in seminomas with residual tumors > 3 cm in diameter should FDG-PET/CT be performed about 6 weeks after chemotherapy. Metastatic renal cell carcinomas treated with molecular targeted therapies are routinely evaluated by CT scans at 3 month intervals. In specific cases, FDG-PET/CT is able to predict responses as early as 8 weeks after initiation of treatment. In patients with metastatic urothelial carcinomas, imaging studies should be performed after every second cycle of cytotoxic therapy. In patients with metastatic prostate cancer, the modality and the frequency of imaging studies depends on the type of the treatment. In men undergoing androgen deprivation therapy, no routine imaging studies are recommended except for patients with new onset symptoms or significant PSA progression prior to change of treatment. In men with metastatic castration-resistant PCA who are treated with cytotoxic regimes, routine imaging studies in the presence of decreasing or stable PSA serum concentrations are not indicated. In men treated with lyase inhibitor or inhibitors of the androgen receptor signaling cascade, imaging studies should be performed at 3 month intervals due to the low correlation of PSA serum concentrations with clinical response. CONCLUSIONS Imaging studies to assess therapeutic response to systemic treatment in metastatic cancers of the urogenital tract must be chosen depending on the treatment regime, primary organ, and potential consequences of the findings. Routine imaging studies without specific clinical or therapeutic relevance are not justified.
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Abstract
Targeted therapy is the treatment of choice in patients with metastatic renal cell cancer (mRCC) at most institutions although a combination of cytokine therapy and targeted therapy still is being investigated. Morphological size-based criteria (RECIST) has failed in monitoring the effect of targeted therapy in patients with mRCC, as successful therapy often does not result in a decrease in tumour size. Modifications of size-based criteria and criteria based on computed tomography (CT) contrast enhancement has been introduced. Different imaging modalities that rely on characteristics other than size such as dynamic contrast-enhanced (DCE) ultrasonography, DCE CT, DCE magnetic resonance imaging (MRI), diffusion-weighted MRI, positron emission tomography and texture analysis seem to contribute with prognostic information, even at baseline scans, and can predict tumour response early after initiating therapy. No new standard for the imaging follow-up of targeted therapy in mRCC has been established.
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Affiliation(s)
- Finn Rasmussen
- Department of Radiology, Aarhus University Hospital, Denmark
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The role of functional imaging in the era of targeted therapy of renal cell carcinoma. World J Urol 2013; 32:47-58. [PMID: 23588813 DOI: 10.1007/s00345-013-1074-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2013] [Accepted: 04/01/2013] [Indexed: 12/23/2022] Open
Abstract
Antiangiogenic therapies interacting with tumor-specific pathways have been established for targeted therapy of renal cell carcinoma (RCC). However, evaluation of tumor response based on morphologic tumor diameter measurements has limitations, as tumor shrinkage may lag behind pathophysiological response. Functional imaging techniques such as dynamic contrast-enhanced (DCE) ultrasound (US), computed tomography (CT) and magnetic resonance imaging (MRI), unenhanced diffusion-weighted MRI (DW-MRI), and also metabolic imaging with positron emission tomography (PET) have the ability to assess physiological parameters and to predict and monitor therapy response. Assessment of changes in vascularity, cellularity, oxygenation, and glucose uptake with functional imaging during targeted therapy may correlate with progression-free survival and can predict tumor response or progression. In this review, we explore the potential of functional imaging techniques for assessing the effects of targeted therapy of RCC and as well review the reproducibility and limitations.
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In vivo mathematical modeling of tumor growth from imaging data: soon to come in the future? Diagn Interv Imaging 2013; 94:593-600. [PMID: 23582413 DOI: 10.1016/j.diii.2013.03.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The future challenges in oncology imaging are to assess the response to treatment even earlier. As an addition to functional imaging, mathematical modeling based on the imaging is an alternative, cross-disciplinary area of development. Modeling was developed in oncology not only in order to understand and predict tumor growth, but also to anticipate the effects of targeted and untargeted therapies. A very wide range of these models exist, involving many stages in the progression of tumors. Few models, however, have been proposed to reproduce in vivo tumor growth because of the complexity of the mechanisms involved. Morphological imaging combined with "spatial" models appears to perform well although functioning imaging could still provide further information on metabolism and the micro-architecture. The combination of imaging and modeling can resolve complex problems and describe many facets of tumor growth or response to treatment. It is now possible to consider its clinical use in the medium term. This review describes the basic principles of mathematical modeling and describes the advantages, limitations and future prospects for this in vivo approach based on imaging data.
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Nathan P, Vinayan A. Imaging techniques as predictive and prognostic biomarkers in renal cell carcinoma. Ther Adv Med Oncol 2013; 5:119-31. [PMID: 23450112 PMCID: PMC3556873 DOI: 10.1177/1758834012463624] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
A number of imaging modalities are showing promise as predictive and prognostic biomarkers in advanced renal cell carcinoma. This review discusses progress to date in this exciting area and identifies areas of future promise.
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Affiliation(s)
- Paul Nathan
- Mount Vernon Cancer Centre - Medical Oncology, Rickmansworth Road, Northwood, Middlesex HA6 2RN, UK
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