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Rata M, De Paepe KN, Orton MR, Castagnoli F, d'Arcy J, Winfield JM, Hughes J, Stemmer A, Nickel MD, Koh DM. Evaluation of simultaneous multi-slice acquisition with advanced processing for free-breathing diffusion-weighted imaging in patients with liver metastasis. Eur Radiol 2024; 34:2457-2467. [PMID: 37776361 PMCID: PMC10957610 DOI: 10.1007/s00330-023-10234-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 07/31/2023] [Accepted: 08/02/2023] [Indexed: 10/02/2023]
Abstract
OBJECTIVES Diffusion-weighted imaging (DWI) with simultaneous multi-slice (SMS) acquisition and advanced processing can accelerate acquisition time and improve MR image quality. This study evaluated the image quality and apparent diffusion coefficient (ADC) measurements of free-breathing DWI acquired from patients with liver metastases using a prototype SMS-DWI acquisition (with/without an advanced processing option) and conventional DWI. METHODS Four DWI schemes were compared in a pilot 5-patient cohort; three DWI schemes were further assessed in a 24-patient cohort. Two readers scored image quality of all b-value images and ADC maps across the three methods. ADC measurements were performed, for all three methods, in left and right liver parenchyma, spleen, and liver metastases. The Friedman non-parametric test (post-hoc Wilcoxon test with Bonferroni correction) was used to compare image quality scoring; t-test was used for ADC comparisons. RESULTS SMS-DWI was faster (by 24%) than conventional DWI. Both readers scored the SMS-DWI with advanced processing as having the best image quality for highest b-value images (b750) and ADC maps; Cohen's kappa inter-reader agreement was 0.6 for b750 image and 0.56 for ADC maps. The prototype SMS-DWI sequence with advanced processing allowed a better visualization of the left lobe of the liver. ADC measured in liver parenchyma, spleen, and liver metastases using the SMS-DWI with advanced processing option showed lower values than those derived from the SMS-DWI method alone (t-test, p < 0.0001; p < 0.0001; p = 0.002). CONCLUSIONS Free-breathing SMS-DWI with advanced processing was faster and demonstrated better image quality versus a conventional DWI protocol in liver patients. CLINICAL RELEVANCE STATEMENT Free-breathing simultaneous multi-slice- diffusion-weighted imaging (DWI) with advanced processing was faster and demonstrated better image quality versus a conventional DWI protocol in liver patients. KEY POINTS • Diffusion-weighted imaging (DWI) with simultaneous multi-slice (SMS) can accelerate acquisition time and improve image quality. • Apparent diffusion coefficients (ADC) measured in liver parenchyma, spleen, and liver metastases using the simultaneous multi-slice DWI with advanced processing were significantly lower than those derived from the simultaneous multi-slice DWI method alone. • Simultaneous multi-slice DWI sequence with inline advanced processing was faster and demonstrated better image quality in liver patients.
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Affiliation(s)
- Mihaela Rata
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK.
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
| | - Katja N De Paepe
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK
| | - Matthew R Orton
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
| | - Francesca Castagnoli
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK
| | - James d'Arcy
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
| | - Jessica M Winfield
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
| | - Julie Hughes
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK
| | - Alto Stemmer
- Siemens Healthcare GmbH, MR Application Predevelopment, Erlangen, Germany
| | | | - Dow-Mu Koh
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, London, UK
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
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2
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Murphy PS, Galette P, van der Aart J, Janiczek RL, Patel N, Brown AP. The role of clinical imaging in oncology drug development: progress and new challenges. Br J Radiol 2023; 96:20211126. [PMID: 37393537 PMCID: PMC10546429 DOI: 10.1259/bjr.20211126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 02/14/2023] [Accepted: 06/06/2023] [Indexed: 07/03/2023] Open
Abstract
In 2008, the role of clinical imaging in oncology drug development was reviewed. The review outlined where imaging was being applied and considered the diverse demands across the phases of drug development. A limited set of imaging techniques was being used, largely based on structural measures of disease evaluated using established response criteria such as response evaluation criteria in solid tumours. Beyond structure, functional tissue imaging such as dynamic contrast-enhanced MRI and metabolic measures using [18F]flourodeoxyglucose positron emission tomography were being increasingly incorporated. Specific challenges related to the implementation of imaging were outlined including standardisation of scanning across study centres and consistency of analysis and reporting. More than a decade on the needs of modern drug development are reviewed, how imaging has evolved to support new drug development demands, the potential to translate state-of-the-art methods into routine tools and what is needed to enable the effective use of this broadening clinical trial toolset. In this review, we challenge the clinical and scientific imaging community to help refine existing clinical trial methods and innovate to deliver the next generation of techniques. Strong industry-academic partnerships and pre-competitive opportunities to co-ordinate efforts will ensure imaging technologies maintain a crucial role delivering innovative medicines to treat cancer.
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Affiliation(s)
| | - Paul Galette
- Telix Pharmaceuticals (US) Inc, Fishers, United States
| | | | | | | | - Andrew P. Brown
- Vale Imaging Consultancy Solutions, Harston, Cambridge, United Kingdom
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Jackson A, Pathak R, deSouza NM, Liu Y, Jacobs BKM, Litiere S, Urbanowicz-Nijaki M, Julie C, Chiti A, Theysohn J, Ayuso JR, Stroobants S, Waterton JC. MRI Apparent Diffusion Coefficient (ADC) as a Biomarker of Tumour Response: Imaging-Pathology Correlation in Patients with Hepatic Metastases from Colorectal Cancer (EORTC 1423). Cancers (Basel) 2023; 15:3580. [PMID: 37509240 PMCID: PMC10377224 DOI: 10.3390/cancers15143580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 06/29/2023] [Accepted: 06/30/2023] [Indexed: 07/30/2023] Open
Abstract
Background: Tumour apparent diffusion coefficient (ADC) from diffusion-weighted magnetic resonance imaging (MRI) is a putative pharmacodynamic/response biomarker but the relationship between drug-induced effects on the ADC and on the underlying pathology has not been adequately defined. Hypothesis: Changes in ADC during early chemotherapy reflect underlying histological markers of tumour response as measured by tumour regression grade (TRG). Methods: Twenty-six patients were enrolled in the study. Baseline, 14 days, and pre-surgery MRI were performed per study protocol. Surgical resection was performed in 23 of the enrolled patients; imaging-pathological correlation was obtained from 39 lesions from 21 patients. Results: There was no evidence of correlation between TRG and ADC changes at day 14 (study primary endpoint), and no significant correlation with other ADC metrics. In scans acquired one week prior to surgery, there was no significant correlation between ADC metrics and percentage of viable tumour, percentage necrosis, percentage fibrosis, or Ki67 index. Conclusions: Our hypothesis was not supported by the data. The lack of meaningful correlation between change in ADC and TRG is a robust finding which is not explained by variability or small sample size. Change in ADC is not a proxy for TRG in metastatic colorectal cancer.
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Affiliation(s)
- Alan Jackson
- Centre for Imaging Sciences, University of Manchester, Manchester M20 4GJ, UK
| | - Ryan Pathak
- Centre for Imaging Sciences, University of Manchester, Manchester M20 4GJ, UK
| | - Nandita M deSouza
- CRUK Cancer Imaging Centre, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, London SW7 3RP, UK
| | - Yan Liu
- European Organisation for Research and Treatment of Cancer, 1200 Brussels, Belgium
| | - Bart K M Jacobs
- European Organisation for Research and Treatment of Cancer, 1200 Brussels, Belgium
| | - Saskia Litiere
- European Organisation for Research and Treatment of Cancer, 1200 Brussels, Belgium
| | | | - Catherine Julie
- EA 4340 BECCOH, UVSQ, Universite Paris-Saclay, 92104 Boulogne-Billancourt, France
- Department of Pathology, APHP-Hopital Ambroise Pare, 92100 Boulogne-Billancourt, France
| | - Arturo Chiti
- Nuclear Medicine Unit, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy
- Department of Bio-Medical Sciences, Humanitas University, 20072 Milan, Italy
| | - Jens Theysohn
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University Duisburg-Essen, 45122 Essen, Germany
| | - Juan R Ayuso
- Radiology Department-CDI, Hospital Clinic Universitari de Barcelona, 08036 Barcelona, Spain
| | - Sigrid Stroobants
- Molecular Imaging and Radiology, University of Antwerp, 2000 Antwerp, Belgium
| | - John C Waterton
- Centre for Imaging Sciences, University of Manchester, Manchester M20 4GJ, UK
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Knill AK, Blackledge MD, Curcean A, Larkin J, Turajlic S, Riddell A, Koh DM, Messiou C, Winfield JM. Optimisation of b-values for the accurate estimation of the apparent diffusion coefficient (ADC) in whole-body diffusion-weighted MRI in patients with metastatic melanoma. Eur Radiol 2023; 33:863-871. [PMID: 36169688 PMCID: PMC9889461 DOI: 10.1007/s00330-022-09088-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 07/12/2022] [Accepted: 08/04/2022] [Indexed: 02/04/2023]
Abstract
OBJECTIVE To establish optimised diffusion weightings ('b-values') for acquisition of whole-body diffusion-weighted MRI (WB-DWI) for estimation of the apparent diffusion coefficient (ADC) in patients with metastatic melanoma (MM). Existing recommendations for WB-DWI have not been optimised for the tumour properties in MM; therefore, evaluation of acquisition parameters is essential before embarking on larger studies. METHODS Retrospective clinical data and phantom experiments were used. Clinical data comprised 125 lesions from 14 examinations in 11 patients with multifocal MM, imaged before and/or after treatment with immunotherapy at a single institution. ADC estimates from these data were applied to a model to estimate the optimum b-value. A large non-diffusing phantom was used to assess eddy current-induced geometric distortion. RESULTS Considering all tumour sites from pre- and post-treatment examinations together, metastases exhibited a large range of mean ADC values, [0.67-1.49] × 10-3 mm2/s, and the optimum high b-value (bhigh) for ADC estimation was 1100 (10th-90th percentile: 740-1790) s/mm2. At higher b-values, geometric distortion increased, and longer echo times were required, leading to reduced signal. CONCLUSIONS Theoretical optimisation gave an optimum bhigh of 1100 (10th-90th percentile: 740-1790) s/mm2 for ADC estimation in MM, with the large range of optimum b-values reflecting the wide range of ADC values in these tumours. Geometric distortion and minimum echo time increase at higher b-values and are not included in the theoretical optimisation; bhigh in the range 750-1100 s/mm2 should be adopted to maintain acceptable image quality but performance should be evaluated for a specific scanner. KEY POINTS • Theoretical optimisation gave an optimum high b-value of 1100 (10th-90th percentile: 740-1790) s/mm2 for ADC estimation in metastatic melanoma. • Considering geometric distortion and minimum echo time (TE), a b-value in the range 750-1100 s/mm2 is recommended. • Sites should evaluate the performance of specific scanners to assess the effect of geometric distortion and minimum TE.
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Affiliation(s)
- Annemarie K Knill
- The Institute of Cancer Research, London, UK
- The Royal Marsden NHS Foundation Trust, London, UK
| | | | - Andra Curcean
- The Institute of Cancer Research, London, UK
- The Royal Marsden NHS Foundation Trust, London, UK
| | - James Larkin
- The Royal Marsden NHS Foundation Trust, London, UK
| | - Samra Turajlic
- The Royal Marsden NHS Foundation Trust, London, UK
- The Francis Crick Institute, London, UK
| | | | - Dow Mu Koh
- The Institute of Cancer Research, London, UK
- The Royal Marsden NHS Foundation Trust, London, UK
| | - Christina Messiou
- The Institute of Cancer Research, London, UK.
- The Royal Marsden NHS Foundation Trust, London, UK.
| | - Jessica M Winfield
- The Institute of Cancer Research, London, UK
- The Royal Marsden NHS Foundation Trust, London, UK
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5
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Rata M, Blackledge M, Scurr E, Winfield J, Koh DM, Dragan A, Candito A, King A, Rennie W, Gaba S, Suresh P, Malcolm P, Davis A, Nilak A, Shah A, Gandhi S, Albrizio M, Drury A, Roberts S, Jenner M, Brown S, Kaiser M, Messiou C. Implementation of Whole-Body MRI (MY-RADS) within the OPTIMUM/MUKnine multi-centre clinical trial for patients with myeloma. Insights Imaging 2022; 13:123. [PMID: 35900614 PMCID: PMC9334517 DOI: 10.1186/s13244-022-01253-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 06/14/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Whole-body (WB) MRI, which includes diffusion-weighted imaging (DWI) and T1-w Dixon, permits sensitive detection of marrow disease in addition to qualitative and quantitative measurements of disease and response to treatment of bone marrow. We report on the first study to embed standardised WB-MRI within a prospective, multi-centre myeloma clinical trial (IMAGIMM trial, sub-study of OPTIMUM/MUKnine) to explore the use of WB-MRI to detect minimal residual disease after treatment. METHODS The standardised MY-RADS WB-MRI protocol was set up on a local 1.5 T scanner. An imaging manual describing the MR protocol, quality assurance/control procedures and data transfer was produced and provided to sites. For non-identical scanners (different vendor or magnet strength), site visits from our physics team were organised to support protocol optimisation. The site qualification process included review of phantom and volunteer data acquired at each site and a teleconference to brief the multidisciplinary team. Image quality of initial patients at each site was assessed. RESULTS WB-MRI was successfully set up at 12 UK sites involving 3 vendor systems and two field strengths. Four main protocols (1.5 T Siemens, 3 T Siemens, 1.5 T Philips and 3 T GE scanners) were generated. Scanner limitations (hardware and software) and scanning time constraint required protocol modifications for 4 sites. Nevertheless, shared methodology and imaging protocols enabled other centres to obtain images suitable for qualitative and quantitative analysis. CONCLUSIONS Standardised WB-MRI protocols can be implemented and supported in prospective multi-centre clinical trials. Trial registration NCT03188172 clinicaltrials.gov; registration date 15th June 2017 https://clinicaltrials.gov/ct2/show/study/NCT03188172.
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Affiliation(s)
- Mihaela Rata
- Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Downs Road, SM2 5PT, Sutton, London, UK.
| | - Matthew Blackledge
- Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Downs Road, SM2 5PT, Sutton, London, UK
| | - Erica Scurr
- Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Downs Road, SM2 5PT, Sutton, London, UK
| | - Jessica Winfield
- Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Downs Road, SM2 5PT, Sutton, London, UK
| | - Dow-Mu Koh
- Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Downs Road, SM2 5PT, Sutton, London, UK
| | - Alina Dragan
- Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Downs Road, SM2 5PT, Sutton, London, UK
| | - Antonio Candito
- Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Downs Road, SM2 5PT, Sutton, London, UK
| | - Alexander King
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | | | - Suchi Gaba
- Royal Stoke University Hospital, Stoke-on-Trent, UK
| | - Priya Suresh
- University Hospitals Plymouth NHS Foundation Trust, Plymouth, UK
| | - Paul Malcolm
- Norfolk and Norwich University Hospital, Norwich, UK
| | - Amy Davis
- Epsom and St. Helier University Hospitals NHS Trust, Epsom, UK
| | | | - Aarti Shah
- Basingstoke and North Hampshire Hospital, Basingstoke, UK
| | | | - Mauro Albrizio
- Nottingham University Hospitals NHS Trust, Nottingham, UK
| | - Arnold Drury
- Royal Bournemouth and Christchurch Hospitals NHS Foundation Trust, Bournemouth, UK
| | - Sadie Roberts
- University of Leeds Clinical Trial Research Unit, Leeds, UK
| | - Matthew Jenner
- University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Sarah Brown
- University of Leeds Clinical Trial Research Unit, Leeds, UK
| | - Martin Kaiser
- Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Downs Road, SM2 5PT, Sutton, London, UK
| | - Christina Messiou
- Royal Marsden NHS Foundation Trust and Institute of Cancer Research, Downs Road, SM2 5PT, Sutton, London, UK
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6
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Hoang-Dinh A, Nguyen-Quang T, Bui-Van L, Gonindard-Melodelima C, Souchon R, Rouvière O. Reproducibility of apparent diffusion coefficient measurement in normal prostate peripheral zone at 1.5T MRI. Diagn Interv Imaging 2022; 103:545-554. [PMID: 35773099 DOI: 10.1016/j.diii.2022.06.001] [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: 04/25/2022] [Revised: 06/05/2022] [Accepted: 06/06/2022] [Indexed: 11/17/2022]
Abstract
PURPOSE The purpose of this study was to quantify the influence of factors of variability on apparent diffusion coefficient (ADC) estimation in the normal prostate peripheral zone (PZ). MATERIALS AND METHODS Fifty healthy volunteers underwent in 2017 (n = 17) or 2020 (n = 33) two-point (0, 800 s/mm²) prostate diffusion-weighted imaging in the morning on 1.5 T scanners A and B from different manufacturers. Additional five-point (50, 150, 300, 500, 800 s/mm²) acquisitions were performed on scanner B in the morning and evening. ADC was measured in PZ at midgland using ADC maps reconstructed with various b-value combinations. ADC distributions from 2017 and 2020 were compared using Wilcoxon rank sum test. ADC obtained in the same volunteers were compared using Bland Altman methodology. The 95% confidence interval upper limit of the repeatability/reproducibility coefficient defined the lowest detectable ADC difference. RESULTS Forty-nine participants with a mean age of 24.6 ± 3.8 [SD] years (range: 21-37 years) were finally included. ADC distributions from 2017 and 2020 were not significantly different and were combined. Despite high individual variability, there was no significant bias (10 × 10-6 mm²/s, P = 0.58) between ADC measurements made on both scanners. On scanner B, differences in lowest b-values chosen within the 0-500 s/mm² range for two-point ADC computation induced significant biases (56-109 × 10-6 mm²/s, P < 0.0001). ADC was significantly lower in the morning (bias: 33 × 10-6 mm²/s, P = 0.006). The number of b-values had little influence on ADC values. The lowest detectable ADC difference varied from 85 × 10-6 to 311 × 10-6 mm²/s across scanners, b-value combinations and periods of the day. CONCLUSIONS The MRI scanner, the lowest b-value used and the period of the day induce substantial variability in ADC computation.
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Affiliation(s)
- Au Hoang-Dinh
- Hanoï Medical University Hospital, Dong Da, Hanoi, Viet Nam
| | | | - Lenh Bui-Van
- Hanoï Medical University Hospital, Dong Da, Hanoi, Viet Nam
| | | | | | - Olivier Rouvière
- LabTAU, INSERM, U1032, 69000, Lyon, France; Hospices Civils de Lyon, Hôpital Edouard Herriot, Department of Vascular and Urinary Imaging, 69000, Lyon, France; Université de Lyon, Lyon 69003, France; Université Lyon 1, Lyon France; Faculté de Médecine, Lyon Est, 69003, Lyon, France.
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7
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Wyatt JJ, McCallum HM, Maxwell RJ. Developing quality assurance tests for simultaneous Positron Emission Tomography – Magnetic Resonance imaging for radiotherapy planning. Phys Imaging Radiat Oncol 2022; 22:28-35. [PMID: 35493852 PMCID: PMC9048159 DOI: 10.1016/j.phro.2022.03.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 03/02/2022] [Accepted: 03/18/2022] [Indexed: 12/05/2022] Open
Abstract
Background and purpose Simultaneous Positron Emission Tomography – Magnetic Resonance (PET-MR) imaging can potentially improve radiotherapy by enabling more accurate tumour delineation and dose painting. The use of PET-MR imaging for radiotherapy planning requires a comprehensive Quality Assurance (QA) programme to be developed. This study aimed to develop the QA tests required and assess their repeatability and stability. Materials and methods QA tests were developed for: MR image quality, MR geometric accuracy, electromechanical accuracy, PET-MR alignment accuracy, Diffusion Weighted (DW)-MR Apparent Diffusion Coefficient (ADC) accuracy and PET Standard Uptake Value (SUV) accuracy. Each test used a dedicated phantom and was analysed automatically or semi-automatically, with in–house software. Repeatability was evaluated by three same-day measurements with independent phantom positions. Stability was assessed through 12 monthly measurements. Results The repeatability Standard Deviations (SDs) of distortion for the MR geometric accuracy test were ⩽0.7mm. The repeatability SDs in ADC difference from reference were ⩽3% for the DW-MR accuracy test. The PET SUV difference from reference repeatability SD was 0.3%. The stability SDs agreed within 0.6mm, 1 percentage point and 1.4 percentage points of the repeatability SDs for the geometric, ADC and SUV accuracy tests respectively. There were no monthly trends apparent. These results were representative of the other tests. Conclusions QA Tests for radiotherapy planning PET-MR have been developed. The tests appeared repeatable and stable over a 12-month period. The developed QA tests could form the basis of a QA programme that enables high-quality, robust PET-MR imaging for radiotherapy planning.
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8
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Eriksson S, Bengtsson J, Torén W, Lätt J, Andersson R, Sturesson C. Changes in apparent diffusion coefficient and pathological response in colorectal liver metastases after preoperative chemotherapy. Acta Radiol 2022; 64:51-57. [PMID: 35084232 DOI: 10.1177/02841851221074496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND The pathological response to preoperative chemotherapy of colorectal liver metastases (CRLMs) is predictive of long-term prognosis after liver resection. Accurate preoperative assessment of chemotherapy response could enable treatment optimization. PURPOSE To investigate whether changes in lesion-apparent diffusion coefficient (ADC) measured with diffusion-weighted magnetic resonance imaging (MRI) can be used to assess pathological treatment response in patients with CRLMs undergoing preoperative chemotherapy. MATERIAL AND METHODS Patients who underwent liver resection for CRLMs after preoperative chemotherapy between January 2011 and December 2019 were retrospectively included if they had undergone MRI before and after preoperative chemotherapy on the same 1.5-T MRI scanner with diffusion-weighted imaging with b-values 50, 400, and 800 s/mm2. The pathological chemotherapy response was assessed using the tumor regression grade (TRG) by AJCC/CAP. Lesions were divided into two groups: pathological responding (TRG 0-2) and non-responding (TRG 3). The change in lesion ADC after preoperative chemotherapy was compared between responding and non-responding lesions. RESULTS A total of 27 patients with 49 CRLMs were included, and 24/49 lesions showed a pathological chemotherapy response. After chemotherapy, ADC increased in both pathological responding (pretreatment ADC: 1.26 [95% confidence interval (CI)=1.06-1.37] vs. post-treatment ADC: 1.33 [95% CI=1.13-1.56] × 10-3 mm2/s; P = 0.026) and non-responding lesions (1.12 [95% CI=0.980-1.21] vs. 1.20 [95% CI=1.09-1.43] × 10-3 mm2/s; P = 0.018). There was no difference in median relative difference in ADC after chemotherapy between pathological responding and non-responding lesions (15.8 [95% CI=1.42-26.3] vs. 7.17 [95% CI=-4.31 to 31.2]%; P = 0.795). CONCLUSION Changes in CRLM ADCs did not differ between pathological responding and non-responding lesions.
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Affiliation(s)
- Sam Eriksson
- Surgery, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
- Center for Medical Imaging and Physiology, Skane University Hospital, Lund, Sweden
| | - Johan Bengtsson
- Center for Medical Imaging and Physiology, Skane University Hospital, Lund, Sweden
- Diagnostic Radiology, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - William Torén
- Surgery, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - Jimmy Lätt
- Center for Medical Imaging and Physiology, Skane University Hospital, Lund, Sweden
| | - Roland Andersson
- Surgery, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
| | - Christian Sturesson
- Surgery, Department of Clinical Sciences Lund, Lund University, Skane University Hospital, Lund, Sweden
- Division of Surgery, Department of Clinical Science, Intervention, and Technology (CLINTEC), Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
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9
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Curcean S, Cheng L, Picchia S, Tunariu N, Collins D, Blackledge M, Popat S, O'Brien M, Minchom A, Leach MO, Koh DM. Early Response to Chemotherapy in Malignant Pleural Mesothelioma Evaluated Using Diffusion-Weighted Magnetic Resonance Imaging: Initial Observations. JTO Clin Res Rep 2021; 2:100253. [PMID: 34870249 PMCID: PMC8626584 DOI: 10.1016/j.jtocrr.2021.100253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 10/22/2021] [Accepted: 10/27/2021] [Indexed: 11/28/2022] Open
Abstract
Introduction We compared the magnetic resonance imaging total tumor volume (TTV) and median apparent diffusion coefficient (ADC) of malignant pleural mesothelioma (MPM) before and at 4 weeks after chemotherapy, to evaluate whether these are potential early markers of treatment response. Methods Diffusion-weighted magnetic resonance imaging was performed in 23 patients with MPM before and after 4 weeks of chemotherapy. The TTV was measured by semiautomatic segmentation (GrowCut) and transferred onto ADC maps to record the median ADC. Test-retest repeatability of TTV and ADC was evaluated in eight patients. TTV and median ADC changes were compared between responders and nonresponders, defined using modified Response Evaluation Criteria In Solid Tumors on computed tomography (CT) at 12 weeks after treatment. TTV and median ADC were also correlated with CT size measurement and disease survival. Results The test-retest 95% limits of agreement for TTV were -13.9% to 16.2% and for median ADC -1.2% to 3.3%. A significant increase in median ADC in responders was observed at 4 weeks after treatment (p = 0.02). Correlation was found between CT tumor size change at 12 weeks and median ADC changes at 4 weeks post-treatment (r = -0.560, p = 0.006). An increase in median ADC greater than 5.1% at 4 weeks has 100% sensitivity and 90% specificity for responders (area under the curve = 0.933, p < 0.001). There was also moderate correlation between median tumor ADC at baseline and overall survival (r = 0.45, p = 0.03). Conclusions Diffusion-weighted magnetic resonance imaging measurements of TTV and median ADC in MPM have good measurement repeatability. Increase in ADC at 4 weeks post-treatment has the potential to be an early response biomarker.
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Affiliation(s)
- Sebastian Curcean
- Department of Radiation Oncology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.,Department of Radiation Oncology, Ion Chiricuta Institute of Oncology, Cluj-Napoca, Romania.,Department of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Lin Cheng
- Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom
| | - Simona Picchia
- Department of Radiology, Bordet Institute, Bruxelles, Belgium
| | - Nina Tunariu
- Department of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - David Collins
- Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom
| | - Matthew Blackledge
- Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom
| | - Sanjay Popat
- Department of Medical Oncology, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Mary O'Brien
- Department of Medical Oncology, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Anna Minchom
- Department of Medical Oncology, Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Martin O Leach
- Department of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom.,Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom
| | - Dow-Mu Koh
- Department of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom.,Division of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom
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10
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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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11
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Hernando D, Zhang Y, Pirasteh A. Quantitative diffusion MRI of the abdomen and pelvis. Med Phys 2021; 49:2774-2793. [PMID: 34554579 DOI: 10.1002/mp.15246] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 08/05/2021] [Accepted: 09/15/2021] [Indexed: 12/14/2022] Open
Abstract
Diffusion MRI has enormous potential and utility in the evaluation of various abdominal and pelvic disease processes including cancer and noncancer imaging of the liver, prostate, and other organs. Quantitative diffusion MRI is based on acquisitions with multiple diffusion encodings followed by quantitative mapping of diffusion parameters that are sensitive to tissue microstructure. Compared to qualitative diffusion-weighted MRI, quantitative diffusion MRI can improve standardization of tissue characterization as needed for disease detection, staging, and treatment monitoring. However, similar to many other quantitative MRI methods, diffusion MRI faces multiple challenges including acquisition artifacts, signal modeling limitations, and biological variability. In abdominal and pelvic diffusion MRI, technical acquisition challenges include physiologic motion (respiratory, peristaltic, and pulsatile), image distortions, and low signal-to-noise ratio. If unaddressed, these challenges lead to poor technical performance (bias and precision) and clinical outcomes of quantitative diffusion MRI. Emerging and novel technical developments seek to address these challenges and may enable reliable quantitative diffusion MRI of the abdomen and pelvis. Through systematic validation in phantoms, volunteers, and patients, including multicenter studies to assess reproducibility, these emerging techniques may finally demonstrate the potential of quantitative diffusion MRI for abdominal and pelvic imaging applications.
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Affiliation(s)
- Diego Hernando
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Yuxin Zhang
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Ali Pirasteh
- Departments of Radiology and Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin, USA
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12
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Winfield JM, Blackledge MD, Tunariu N, Koh DM, Messiou C. Whole-body MRI: a practical guide for imaging patients with malignant bone disease. Clin Radiol 2021; 76:715-727. [PMID: 33934876 DOI: 10.1016/j.crad.2021.04.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 04/08/2021] [Indexed: 01/09/2023]
Abstract
Whole-body magnetic resonance imaging (MRI) is now a crucial tool for the assessment of the extent of systemic malignant bone disease and response to treatment, and forms part of national and international recommendations for imaging patients with myeloma or metastatic prostate cancer. Recent developments in scanners have enabled acquisition of good-quality whole-body MRI data within 45 minutes on modern MRI systems from all main manufacturers. This provides complimentary morphological and functional whole-body imaging; however, lack of prior experience and acquisition times required can act as a barrier to adoption in busy radiology departments. This article aims to tackle the former by reviewing the indications and providing guidance for technical delivery and clinical interpretation of whole-body MRI for patients with malignant bone disease.
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Affiliation(s)
- J M Winfield
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK; MRI Unit, Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - M D Blackledge
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK; MRI Unit, Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - N Tunariu
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK; MRI Unit, Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - D-M Koh
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK; MRI Unit, Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - C Messiou
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK; MRI Unit, Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK.
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13
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Gennaro N, Reijers S, Bruining A, Messiou C, Haas R, Colombo P, Bodalal Z, Beets-Tan R, van Houdt W, van der Graaf WTA. Imaging response evaluation after neoadjuvant treatment in soft tissue sarcomas: Where do we stand? Crit Rev Oncol Hematol 2021; 160:103309. [PMID: 33757836 DOI: 10.1016/j.critrevonc.2021.103309] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 02/15/2021] [Accepted: 03/03/2021] [Indexed: 12/16/2022] Open
Abstract
Soft tissue sarcomas (STS) represent a broad family of rare tumours for which surgery with radiotherapy represents first-line treatment. Recently, neoadjuvant chemo-radiotherapy has been increasingly used in high-risk patients in an effort to reduce surgical morbidity and improve clinical outcomes. An adequate understanding of the efficacy of neoadjuvant therapies would optimise patient care, allowing a tailored approach. Although response evaluation criteria in solid tumours (RECIST) is the most common imaging method to assess tumour response, Choi criteria and functional and molecular imaging (DWI, DCE-MRI and 18F-FDG-PET) seem to outperform it in the discrimination between responders and non-responders. Moreover, the radiologic-pathology correlation of treatment-related changes remains poorly understood. In this review, we provide an overview of the imaging assessment of tumour response in STS undergoing neoadjuvant treatment, including conventional imaging (CT, MRI, PET) and advanced imaging analysis. Future directions will be presented to shed light on potential advances in pre-surgical imaging assessments that have clinical implications for sarcoma patients.
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Affiliation(s)
- Nicolò Gennaro
- Humanitas Research and Cancer Center, Dept. of Radiology, Rozzano, Italy; Humanitas University, Dept. of Biomedical Sciences, Pieve Emanuele, Italy; The Netherlands Cancer Institute, Dept. of Radiology, Amsterdam, the Netherlands.
| | - Sophie Reijers
- The Netherlands Cancer Institute, Dept. of Surgical Oncology, Amsterdam, the Netherlands
| | - Annemarie Bruining
- The Netherlands Cancer Institute, Dept. of Radiology, Amsterdam, the Netherlands
| | - Christina Messiou
- The Royal Marsden NHS Foundation Trust, Dept. Of Radiology Sarcoma Unit, Sutton, United Kingdom; The Institute of Cancer Research, Sutton, United Kingdom
| | - Rick Haas
- The Netherlands Cancer Institute, Dept. of Radiation Oncology, Amsterdam, the Netherlands; Leiden University Medical Center, Dept. of Radiation Oncology, the Netherlands
| | | | - Zuhir Bodalal
- The Netherlands Cancer Institute, Dept. of Radiology, Amsterdam, the Netherlands; GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands
| | - Regina Beets-Tan
- The Netherlands Cancer Institute, Dept. of Radiology, Amsterdam, the Netherlands; GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands; Danish Colorectal Cancer Center South, Vejle University Hospital, Institute of Regional Health Research, University of Southern Denmark, Denmark
| | - Winan van Houdt
- The Netherlands Cancer Institute, Dept. of Surgical Oncology, Amsterdam, the Netherlands
| | - Winette T A van der Graaf
- The Netherlands Cancer Institute, Dept. of Medical Oncology, Amsterdam, the Netherlands; Erasmus MC Cancer Institute, Dept. of Medical Oncology, Erasmus University Medical Center, Rotterdam, the Netherlands
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14
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Winfield JM, Wakefield JC, Brenton JD, AbdulJabbar K, Savio A, Freeman S, Pace E, Lutchman-Singh K, Vroobel KM, Yuan Y, Banerjee S, Porta N, Ahmed Raza SE, deSouza NM. Biomarkers for site-specific response to neoadjuvant chemotherapy in epithelial ovarian cancer: relating MRI changes to tumour cell load and necrosis. Br J Cancer 2021; 124:1130-1137. [PMID: 33398064 PMCID: PMC7961011 DOI: 10.1038/s41416-020-01217-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 11/11/2020] [Accepted: 11/25/2020] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Diffusion-weighted magnetic resonance imaging (DW-MRI) potentially interrogates site-specific response to neoadjuvant chemotherapy (NAC) in epithelial ovarian cancer (EOC). METHODS Participants with newly diagnosed EOC due for platinum-based chemotherapy and interval debulking surgery were recruited prospectively in a multicentre study (n = 47 participants). Apparent diffusion coefficient (ADC) and solid tumour volume (up to 10 lesions per participant) were obtained from DW-MRI before and after NAC (including double-baseline for repeatability assessment in n = 19). Anatomically matched lesions were analysed after surgical excision (65 lesions obtained from 25 participants). A trained algorithm determined tumour cell fraction, percentage tumour and percentage necrosis on histology. Whole-lesion post-NAC ADC and pre/post-NAC ADC changes were compared with histological metrics (residual tumour/necrosis) for each tumour site (ovarian, omental, peritoneal, lymph node). RESULTS Tumour volume reduced at all sites after NAC. ADC increased between pre- and post-NAC measurements. Post-NAC ADC correlated negatively with tumour cell fraction. Pre/post-NAC changes in ADC correlated positively with percentage necrosis. Significant correlations were driven by peritoneal lesions. CONCLUSIONS Following NAC in EOC, the ADC (measured using DW-MRI) increases differentially at disease sites despite similar tumour shrinkage, making its utility site-specific. After NAC, ADC correlates negatively with tumour cell fraction; change in ADC correlates positively with percentage necrosis. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov NCT01505829.
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Affiliation(s)
- Jessica M Winfield
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
- MRI Unit, Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - Jennifer C Wakefield
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
- MRI Unit, Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - James D Brenton
- Cancer Research UK Cambridge Institute, Cambridge, CB2 0RE, UK
- Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Hills Road, Cambridge, CB2 0QQ, UK
- Department of Oncology, University of Cambridge, Cambridge, CB2 0XZ, UK
| | - Khalid AbdulJabbar
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Antonella Savio
- Department of Pathology, Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK
| | - Susan Freeman
- Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Hills Road, Cambridge, CB2 0QQ, UK
| | - Erika Pace
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
- MRI Unit, Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - Kerryn Lutchman-Singh
- Swansea Gynaecological Oncology Centre, Swansea Bay University Health Board, Singleton Hospital, Swansea, SA2 8QA, UK
| | - Katherine M Vroobel
- Department of Pathology, Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK
| | - Yinyin Yuan
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Susana Banerjee
- Gynaecology Unit, Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - Nuria Porta
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
| | - Shan E Ahmed Raza
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
- Department of Computer Science, University of Warwick, Coventry, UK
| | - Nandita M deSouza
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK.
- MRI Unit, Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK.
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15
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Kocher HM, Basu B, Froeling FEM, Sarker D, Slater S, Carlin D, deSouza NM, De Paepe KN, Goulart MR, Hughes C, Imrali A, Roberts R, Pawula M, Houghton R, Lawrence C, Yogeswaran Y, Mousa K, Coetzee C, Sasieni P, Prendergast A, Propper DJ. Phase I clinical trial repurposing all-trans retinoic acid as a stromal targeting agent for pancreatic cancer. Nat Commun 2020; 11:4841. [PMID: 32973176 PMCID: PMC7518421 DOI: 10.1038/s41467-020-18636-w] [Citation(s) in RCA: 127] [Impact Index Per Article: 31.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 09/02/2020] [Indexed: 12/20/2022] Open
Abstract
Pre-clinical models have shown that targeting pancreatic stellate cells with all-trans-retinoic-acid (ATRA) reprograms pancreatic stroma to suppress pancreatic ductal adenocarcinoma (PDAC) growth. Here, in a phase Ib, dose escalation and expansion, trial for patients with advanced, unresectable PDAC (n = 27), ATRA is re-purposed as a stromal-targeting agent in combination with gemcitabine-nab-paclitaxel chemotherapy using a two-step adaptive continual re-assessment method trial design. The maximum tolerated dose (MTD) and recommended phase 2 dose (RP2D, primary outcome) is the FDA/EMEA approved dose of gemcitabine-nab-paclitaxel along-with ATRA (45 mg/m2 orally, days 1-15/cycle). Dose limiting toxicity (DLT) is grade 4 thrombocytopenia (n = 2). Secondary outcomes show no detriment to ATRA pharmacokinetics.. Median overall survival for RP2D treated evaluable population, is 11.7 months (95%CI 8.6-15.7 m, n = 15, locally advanced (2) and metastatic (13)). Exploratory pharmacodynamics studies including changes in diffusion-weighted (DW)-MRI measured apparent diffusion coefficient after one cycle, and, modulation of cycle-specific serum pentraxin 3 levels over various cycles indicate stromal modulation. Baseline stromal-specific retinoid transport protein (FABP5, CRABP2) expression may be predicitve of response. Re-purposing ATRA as a stromal-targeting agent with gemcitabine-nab-paclitaxel is safe and tolerable. This combination will be evaluated in a phase II randomized controlled trial for locally advanced PDAC. Clinical trial numbers: EudraCT: 2015-002662-23; NCT03307148. Trial acronym: STARPAC.
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Affiliation(s)
- Hemant M Kocher
- Centre for Tumour Biology, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University London, London, EC1M 6BQ, UK.
- Centre for Experimental Cancer Medicine, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University of London, London, EC1M 6BQ, UK.
- Barts and the London HPB Centre, The Royal London Hospital, Barts Health NHS Trust, Whitechapel, London, E1 1FR, UK.
- Barts Pancreas Tissue Bank, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University London, London, EC1M 6BQ, UK.
| | - Bristi Basu
- Department of Oncology, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust-Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK
| | - Fieke E M Froeling
- Department of Surgery and Cancer, Imperial College London-Hammersmith Hospital, London, W12 0HS, UK
- Cold Spring Harbor Laboratory, 1 Bungtown Road, Cold Spring Harbor, NY, 11724, USA
| | - Debashis Sarker
- School of Cancer and Pharmaceutical Sciences, King's College London, Guy's Hospital Campus, London, SE1 9RT, UK
| | - Sarah Slater
- Barts and the London HPB Centre, The Royal London Hospital, Barts Health NHS Trust, Whitechapel, London, E1 1FR, UK
| | - Dominic Carlin
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Nandita M deSouza
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Katja N De Paepe
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Michelle R Goulart
- Centre for Tumour Biology, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University London, London, EC1M 6BQ, UK
| | - Christine Hughes
- Centre for Tumour Biology, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University London, London, EC1M 6BQ, UK
| | - Ahmet Imrali
- Barts Pancreas Tissue Bank, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University London, London, EC1M 6BQ, UK
| | - Rhiannon Roberts
- Barts Pancreas Tissue Bank, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University London, London, EC1M 6BQ, UK
| | - Maria Pawula
- PK/Bioanalytics Core Facility, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Richard Houghton
- PK/Bioanalytics Core Facility, Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Cheryl Lawrence
- Centre for Experimental Cancer Medicine, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Yathushan Yogeswaran
- Centre for Experimental Cancer Medicine, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Kelly Mousa
- Centre for Experimental Cancer Medicine, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Carike Coetzee
- Centre for Experimental Cancer Medicine, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Peter Sasieni
- Cancer Prevention Trials Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, EC1M 6BQ, UK
- School of Cancer & Pharmaceutical Sciences, and King's Clinical Trials Unit, King's College London, London, SE1 9RT, UK
| | - Aaron Prendergast
- Centre for Experimental Cancer Medicine, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University of London, London, EC1M 6BQ, UK
| | - David J Propper
- Centre for Experimental Cancer Medicine, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University of London, London, EC1M 6BQ, UK
- Barts and the London HPB Centre, The Royal London Hospital, Barts Health NHS Trust, Whitechapel, London, E1 1FR, UK
- Centre for Cancer and Inflammation, Barts Cancer Institute-A CRUK Centre of Excellence, Queen Mary University London, London, EC1M 6BQ, UK
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16
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van Houdt PJ, Kallehauge JF, Tanderup K, Nout R, Zaletelj M, Tadic T, van Kesteren ZJ, van den Berg CAT, Georg D, Côté JC, Levesque IR, Swamidas J, Malinen E, Telliskivi S, Brynolfsson P, Mahmood F, van der Heide UA. Phantom-based quality assurance for multicenter quantitative MRI in locally advanced cervical cancer. Radiother Oncol 2020; 153:114-121. [PMID: 32931890 DOI: 10.1016/j.radonc.2020.09.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 09/07/2020] [Accepted: 09/08/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND AND PURPOSE A wide variation of MRI systems is a challenge in multicenter imaging biomarker studies as it adds variation in quantitative MRI values. The aim of this study was to design and test a quality assurance (QA) framework based on phantom measurements, for the quantitative MRI protocols of a multicenter imaging biomarker trial of locally advanced cervical cancer. MATERIALS AND METHODS Fifteen institutes participated (five 1.5 T and ten 3 T scanners). Each institute optimized protocols for T2, diffusion-weighted imaging, T1, and dynamic contrast-enhanced (DCE-)MRI according to system possibilities, institutional preferences and study-specific constraints. Calibration phantoms with known values were used for validation. Benchmark protocols, similar on all systems, were used to investigate whether differences resulted from variations in institutional protocols or from system variations. Bias, repeatability (%RC), and reproducibility (%RDC) were determined. Ratios were used for T2 and T1 values. RESULTS The institutional protocols showed a range in bias of 0.88-0.98 for T2 (median %RC = 1%; %RDC = 12%), -0.007 to 0.029 × 10-3 mm2/s for the apparent diffusion coefficient (median %RC = 3%; %RDC = 18%), and 0.39-1.29 for T1 (median %RC = 1%; %RDC = 33%). For DCE a nonlinear vendor-specific relation was observed between measured and true concentrations with magnitude data, whereas the relation was linear when phase data was used. CONCLUSION We designed a QA framework for quantitative MRI protocols and demonstrated for a multicenter trial for cervical cancer that measurement of consistent T2 and apparent diffusion coefficient values is feasible despite protocol differences. For DCE-MRI and T1 mapping with the variable flip angle method, this was more challenging.
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Affiliation(s)
- Petra J van Houdt
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | | | - Kari Tanderup
- Department of Clinical Medicine, Aarhus University Hospital, Denmark
| | - Remi Nout
- Department of Radiation Oncology, Leiden University Medical Center, the Netherlands
| | - Marko Zaletelj
- Department of Radiotherapy, Institute of Oncology Ljubljana, Slovenia
| | - Tony Tadic
- Radiation Medicine Program, Princess Margaret Cancer Center, Toronto, Canada
| | - Zdenko J van Kesteren
- Department of Radiation Oncology, Amsterdam University Medical Center, the Netherlands
| | | | - Dietmar Georg
- Division of Medical Radiation Physics, Department of Radiation Oncology, Medical University Of Vienna, Austria
| | - Jean-Charles Côté
- Department of Radiation Oncology, Centre Hospitalier de l'Universite de Montreal, Canada
| | - Ives R Levesque
- Medical Physics Unit and Gerald Bronfman Department of Oncology, McGill University, Montreal, Canada
| | - Jamema Swamidas
- Department of Radiation Oncology, Tata Memorial Centre, Mumbai, India
| | - Eirik Malinen
- Department of Medical Physics, Oslo University Hospital, Norway
| | - Sven Telliskivi
- Department of Radiation Oncology, North-Estonia Medical Centre, Tallinn, Estonia
| | - Patrik Brynolfsson
- Department of Translational Sciences, Skåne University Hospital, Lund, Sweden
| | - Faisal Mahmood
- Department of Oncology, Odense University Hospital, Denmark; Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Uulke A van der Heide
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, the Netherlands
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17
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Blackledge MD, Tunariu N, Zungi F, Holbrey R, Orton MR, Ribeiro A, Hughes JC, Scurr ED, Collins DJ, Leach MO, Koh DM. Noise-Corrected, Exponentially Weighted, Diffusion-Weighted MRI (niceDWI) Improves Image Signal Uniformity in Whole-Body Imaging of Metastatic Prostate Cancer. Front Oncol 2020; 10:704. [PMID: 32457842 PMCID: PMC7225292 DOI: 10.3389/fonc.2020.00704] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 04/15/2020] [Indexed: 11/13/2022] Open
Abstract
Purpose: To characterize the voxel-wise uncertainties of Apparent Diffusion Coefficient (ADC) estimation from whole-body diffusion-weighted imaging (WBDWI). This enables the calculation of a new parametric map based on estimates of ADC and ADC uncertainty to improve WBDWI imaging standardization and interpretation: NoIse-Corrected Exponentially-weighted diffusion-weighted MRI (niceDWI). Methods: Three approaches to the joint modeling of voxel-wise ADC and ADC uncertainty (σADC) are evaluated: (i) direct weighted least squares (DWLS), (ii) iterative linear-weighted least-squares (IWLS), and (iii) smoothed IWLS (SIWLS). The statistical properties of these approaches in terms of ADC/σADC accuracy and precision is compared using Monte Carlo simulations. Our proposed post-processing methodology (niceDWI) is evaluated using an ice-water phantom, by comparing the contrast-to-noise ratio (CNR) with conventional exponentially-weighted DWI. We present the clinical feasibility of niceDWI in a pilot cohort of 16 patients with metastatic prostate cancer. Results: The statistical properties of ADC and σADC conformed closely to the theoretical predictions for DWLS, IWLS, and SIWLS fitting routines (a minor bias in parameter estimation is observed with DWLS). Ice-water phantom experiments demonstrated that a range of CNR could be generated using the niceDWI approach, and could improve CNR compared to conventional methods. We successfully implemented the niceDWI technique in our patient cohort, which visually improved the in-plane bias field compared with conventional WBDWI. Conclusions: Measurement of the statistical uncertainty in ADC estimation provides a practical way to standardize WBDWI across different scanners, by providing quantitative image signals that improve its reliability. Our proposed method can overcome inter-scanner and intra-scanner WBDWI signal variations that can confound image interpretation.
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Affiliation(s)
- Matthew D Blackledge
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - Nina Tunariu
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom.,Department of Radiology, The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Fabio Zungi
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom.,Department of Radiology, The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Richard Holbrey
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - Matthew R Orton
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - Ana Ribeiro
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - Julie C Hughes
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - Erica D Scurr
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - David J Collins
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - Martin O Leach
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - Dow-Mu Koh
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom.,Department of Radiology, The Royal Marsden NHS Foundation Trust, London, United Kingdom
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18
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Diagnostic test accuracy of ADC values for identification of clear cell renal cell carcinoma: systematic review and meta-analysis. Eur Radiol 2020; 30:4023-4038. [PMID: 32144458 DOI: 10.1007/s00330-020-06740-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 01/14/2020] [Accepted: 02/11/2020] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To perform a systematic review on apparent diffusion coefficient (ADC) values of renal tumor subtypes and meta-analysis on the diagnostic performance of ADC for differentiation of localized clear cell renal cell carcinoma (ccRCC) from other renal tumor types. METHODS Medline, Embase, and the Cochrane Library databases were searched for studies published until May 1, 2019, that reported ADC values of renal tumors. Methodological quality was evaluated. For the meta-analysis on diagnostic test accuracy of ADC for differentiation of ccRCC from other renal lesions, we applied a bivariate random-effects model and compared two subgroups of ADC measurement with vs. without cystic and necrotic areas. RESULTS We included 48 studies (2588 lesions) in the systematic review and 13 studies (1126 lesions) in the meta-analysis. There was no significant difference in ADC of renal parenchyma using b values of 0-800 vs. 0-1000 (p = 0.08). ADC measured on selected portions (sADC) excluding cystic and necrotic areas differed significantly from whole-lesion ADC (wADC) (p = 0.002). Compared to ccRCC, minimal-fat angiomyolipoma, papillary RCC, and chromophobe RCC showed significantly lower sADC while oncocytoma exhibited higher sADC. Summary estimates of sensitivity and specificity to differentiate ccRCC from other tumors were 80% (95% CI, 0.76-0.88) and 78% (95% CI, 0.64-0.89), respectively, for sADC and 77% (95% CI, 0.59-0.90) and 77% (95% CI, 0.69-0.86) for wADC. sADC offered a higher area under the receiver operating characteristic curve than wADC (0.852 vs. 0.785, p = 0.02). CONCLUSIONS ADC values of kidney tumors that exclude cystic or necrotic areas more accurately differentiate ccRCC from other renal tumor types than whole-lesion ADC values. KEY POINTS • Selective ADC of renal tumors, excluding cystic and necrotic areas, provides better discriminatory ability than whole-lesion ADC to differentiate clear cell RCC from other renal lesions, with area under the receiver operating characteristic curve (AUC) of 0.852 vs. 0.785, respectively (p = 0.02). • Selective ADC of renal masses provides moderate sensitivity and specificity of 80% and 78%, respectively, for differentiation of clear cell renal cell carcinoma (RCC) from papillary RCC, chromophobe RCC, oncocytoma, and minimal-fat angiomyolipoma. • Selective ADC excluding cystic and necrotic areas are preferable to whole-lesion ADC as an additional tool to multiphasic MRI to differentiate clear cell RCC from other renal lesions whether the highest b value is 800 or 1000.
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19
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Winfield JM, Wakefield JC, Dolling D, Hall M, Freeman S, Brenton JD, Lutchman-Singh K, Pace E, Priest AN, Quest RA, Taylor NJ, Gabra H, McKnight L, Collins DJ, Banerjee S, Hall E, deSouza NM. Diffusion-weighted MRI in Advanced Epithelial Ovarian Cancer: Apparent Diffusion Coefficient as a Response Marker. Radiology 2019; 293:374-383. [PMID: 31573402 DOI: 10.1148/radiol.2019190545] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Treatment of advanced epithelial ovarian cancer results in a relapse rate of 75%. Early markers of response would enable optimization of management and improved outcome in both primary and recurrent disease. Purpose To assess the apparent diffusion coefficient (ADC), derived from diffusion-weighted MRI, as an indicator of response, progression-free survival (PFS), and overall survival. Materials and Methods This prospective multicenter trial (from 2012-2016) recruited participants with stage III or IV ovarian, primary peritoneal, or fallopian tube cancer (newly diagnosed, cohort one; relapsed, cohort two) scheduled for platinum-based chemotherapy, with interval debulking surgery in cohort one. Cohort one underwent two baseline MRI examinations separated by 0-7 days to assess ADC repeatability; an additional MRI was performed after three treatment cycles. Cohort two underwent imaging at baseline and after one and three treatment cycles. ADC changes in responders and nonresponders were compared (Wilcoxon rank sum tests). PFS and overall survival were assessed by using a multivariable Cox model. Results A total of 125 participants (median age, 63.3 years [interquartile range, 57.0-70.7 years]; 125 women; cohort one, n = 47; cohort two, n = 78) were included. Baseline ADC (range, 77-258 × 10-5mm2s-1) was repeatable (upper and lower 95% limits of agreement of 12 × 10-5mm2s-1 [95% confidence interval {CI}: 6 × 10-5mm2s-1 to 18 × 10-5mm2s-1] and -15 × 10-5mm2s-1 [95% CI: -21 × 10-5mm2s-1 to -9 × 10-5mm2s-1]). ADC increased in 47% of cohort two after one treatment cycle, and in 58% and 53% of cohorts one and two, respectively, after three cycles. Percentage change from baseline differed between responders and nonresponders after three cycles (16.6% vs 3.9%; P = .02 [biochemical response definition]; 19.0% vs 6.2%; P = .04 [radiologic definition]). ADC increase after one cycle was associated with longer PFS in cohort two (adjusted hazard ratio, 0.86; 95% CI: 0.75, 0.98; P = .03). ADC change was not indicative of overall survival for either cohort. Conclusion After three cycles of platinum-based chemotherapy, apparent diffusion coefficient (ADC) changes are indicative of response. After one treatment cycle, increased ADC is indicative of improved progression-free survival in relapsed disease. Published under a CC BY 4.0 license. Online supplemental material is available for this article.
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Affiliation(s)
- Jessica M Winfield
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - Jennifer C Wakefield
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - David Dolling
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - Marcia Hall
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - Susan Freeman
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - James D Brenton
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - Kerryn Lutchman-Singh
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - Erika Pace
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - Andrew N Priest
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - Rebecca A Quest
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - N Jane Taylor
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - Hani Gabra
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - Liam McKnight
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - David J Collins
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - Susana Banerjee
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - Emma Hall
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
| | - Nandita M deSouza
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiation Therapy and Imaging, The Institute of Cancer Research, London, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); MRI Unit, Institute of Cancer Research and Royal Marsden Hospital, Royal Marsden NHS Foundation Trust, Downs Road, Sutton SM2 5PT, England (J.M.W., J.C.W., E.P., D.J.C., N.M.d.S.); Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, England (D.D., E.H.); Mount Vernon Cancer Centre, Mount Vernon Hospital, Northwood, England (M.H.); Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, England (S.F., A.N.P.); Cancer Research UK Cambridge Institute, Cambridge, England (J.D.B.); Addenbrooke's Hospital, Cambridge, England (J.D.B.); Department of Oncology, University of Cambridge, Cambridge, England (J.D.B.); Department of Gynaecological Oncology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (K.L.S.); Imaging Department, Imperial College Healthcare NHS Trust, Hammersmith Hospital, London, England (R.A.Q.); Paul Strickland Scanner Centre, Mount Vernon Hospital, Northwood, England (N.J.T.); Imperial College London Hammersmith Campus, London, England (H.G.); Clinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, Astrazeneca, Cambridge, England (H.G.); Department of Radiology, Abertawe Bro Morgannwg Health Board, Morriston Hospital, Swansea, Wales (L.M.); and Gynaecology Unit, Royal Marsden NHS Foundation Trust, Sutton, England (S.B.)
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20
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Gurney-Champion OJ, Collins DJ, Wetscherek A, Rata M, Klaassen R, van Laarhoven HWM, Harrington KJ, Oelfke U, Orton MR. Principal component analysis fosr fast and model-free denoising of multi b-value diffusion-weighted MR images. Phys Med Biol 2019; 64:105015. [PMID: 30965296 PMCID: PMC7655121 DOI: 10.1088/1361-6560/ab1786] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 03/18/2019] [Accepted: 04/09/2019] [Indexed: 02/08/2023]
Abstract
Despite the utility of tumour characterisation using quantitative parameter maps from multi-b-value diffusion-weighted MRI (DWI), clinicians often prefer the use of the image with highest diffusion-weighting (b-value), for instance for defining regions of interest (ROIs). However, these images are typically degraded by noise, as they do not utilize the information from the full acquisition. We present a principal component analysis (PCA) approach for model-free denoising of DWI data. PCA-denoising was compared to synthetic MRI, where a diffusion model is fitted for each voxel and a denoised image at a given b-value is generated from the model fit. A quantitative comparison of systematic and random errors was performed on data simulated using several diffusion models (mono-exponential, bi-exponential, stretched-exponential and kurtosis). A qualitative visual comparison was also performed for in vivo images in six healthy volunteers and three pancreatic cancer patients. In simulations, the reduction in random errors from PCA-denoising was substantial (up to 55%) and similar to synthetic MRI (up to 53%). Model-based synthetic MRI denoising resulted in substantial (up to 29% of signal) systematic errors, whereas PCA-denoising was able to denoise without introducing systematic errors (less than 2%). In vivo, the signal-to-noise ratio (SNR) and sharpness of PCA-denoised images were superior to synthetic MRI, resulting in clearer tumour boundaries. In the presence of motion, PCA-denoising did not cause image blurring, unlike image averaging or synthetic MRI. Multi-b-value MRI can be denoised model-free with our PCA-denoising strategy that reduces noise to a level similar to synthetic MRI, but without introducing systematic errors associated with the synthetic MRI method.
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Affiliation(s)
- Oliver J Gurney-Champion
- Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden
NHS Foundation Trust, London, United
Kingdom
| | - David J Collins
- Cancer Research UK Cancer Imaging Centre,
The Institute of Cancer Research and The
Royal Marsden NHS Foundation Trust, London, United
Kingdom
| | - Andreas Wetscherek
- Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden
NHS Foundation Trust, London, United
Kingdom
| | - Mihaela Rata
- Cancer Research UK Cancer Imaging Centre,
The Institute of Cancer Research and The
Royal Marsden NHS Foundation Trust, London, United
Kingdom
| | - Remy Klaassen
- Department of Medical Oncology, Cancer Center
Amsterdam, Amsterdam UMC, University of
Amsterdam, Amsterdam, The Netherlands
| | - Hanneke W M van Laarhoven
- Department of Medical Oncology, Cancer Center
Amsterdam, Amsterdam UMC, University of
Amsterdam, Amsterdam, The Netherlands
| | - Kevin J Harrington
- Targeted Therapy Team, The Institute of Cancer Research and The Royal Marsden
NHS Foundation Trust, London, United
Kingdom
| | - Uwe Oelfke
- Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden
NHS Foundation Trust, London, United
Kingdom
| | - Matthew R Orton
- Cancer Research UK Cancer Imaging Centre,
The Institute of Cancer Research and The
Royal Marsden NHS Foundation Trust, London, United
Kingdom
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21
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[Diffusion-weighted imaging-diagnostic supplement or alternative to contrast agents in early detection of malignancies?]. Radiologe 2019; 59:517-522. [PMID: 31065738 DOI: 10.1007/s00117-019-0532-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Medical research in the field of oncologic imaging diagnostics using magnetic resonance imaging increasingly includes diffusion-weighted imaging (DWI) sequences. The DWI sequences allow insights into different microstructural diffusion properties of water molecules in tissues depending on the sequence modification used and enable visual and quantitative analysis of the acquired imaging data. In DWI, the application of intravenous gadolinium-containing contrast agents is unnecessary and only the mobility of naturally occurring water molecules in tissues is quantified. These characteristics predispose DWI as a potential candidate for emerging as an independent diagnostic tool in selected cases and specific points in question. Current clinical diagnostic studies and the ongoing technical developments, including the increasing influence of artificial intelligence in radiology, support the growing importance of DWI. Especially with respect to selective approaches for early detection of malignancies, DWI could make an essential contribution as an eligible diagnostic tool; however, prior to discussing a broader clinical implementation, challenges regarding reliable data quality, standardization and quality assurance must be overcome.
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22
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Onodera K, Hatakenaka M, Yama N, Onodera M, Saito T, Kwee TC, Takahara T. Repeatability analysis of ADC histogram metrics of the uterus. Acta Radiol 2019; 60:526-534. [PMID: 29969050 DOI: 10.1177/0284185118786062] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Recently, histogram analysis based on voxel-wise apparent diffusion coefficient (ADC) value distribution has been increasingly performed. However, few studies have been reported regarding its repeatability. PURPOSE To evaluate the repeatability of ADC histogram metrics of the uterus in clinical magnetic resonance imaging (MRI). MATERIAL AND METHODS Thirty-three female patients who underwent pelvic MRI including diffusion-weighted imaging (DWI) were prospectively included after providing informed consent. Two sequential DWI acquisitions with identical parameters and position were obtained. Regions of interest (ROIs) for histologically confirmed uterine lesions (five cervical and three endometrial cancers, and one endometrial hyperplasia) and normal appearing tissues (21 endometrium and 33 myometrium) were assigned on the first DWI dataset and then pasted onto the second DWI dataset. ADC histogram metrics within the ROIs were calculated and repeatability was evaluated by calculating within-subject coefficient of variance (%) (wCV (%)) and Bland-Altman plot (%). RESULTS ADC 10%, 25%, median, 75%, 90%, maximum, mean, and entropy showed high repeatability (wCV (%) < 7, 95% limit of agreement in Bland-Altman plot (%) < ±20), followed by ADC minimum (wCV (%) = 8.12, 95% limit of agreement in Bland-Altman plot (%) < ±30). However, ADC skewness and kurtosis showed very low repeatability in all evaluations. CONCLUSION ADC histogram metrics like ADC 10%, 25%, median, 75%, 90%, maximum, mean, and entropy are robust biomarkers and could be applicable to clinical use. However, ADC skewness and kurtosis lack robustness. Radiologists should keep these characteristics and limitations in mind when interpreting quantitative DWI.
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Affiliation(s)
- Koichi Onodera
- Department of Diagnostic Radiology, Sapporo Medical University, Sapporo, Japan
| | | | - Naoya Yama
- Department of Diagnostic Radiology, Sapporo Medical University, Sapporo, Japan
| | - Maki Onodera
- Department of Diagnostic Radiology, Sapporo Medical University, Sapporo, Japan
| | - Tsuyoshi Saito
- Department of Obstetrics and Gynecology, Sapporo Medical University, Sapporo, Japan
| | - Thomas Christian Kwee
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands
| | - Taro Takahara
- Department of Biomedical Engineering, School of Engineering, Tokai University, Hiratsuka, Japan
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23
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Peerlings J, Woodruff HC, Winfield JM, Ibrahim A, Van Beers BE, Heerschap A, Jackson A, Wildberger JE, Mottaghy FM, DeSouza NM, Lambin P. Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial. Sci Rep 2019; 9:4800. [PMID: 30886309 PMCID: PMC6423042 DOI: 10.1038/s41598-019-41344-5] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 03/05/2019] [Indexed: 12/16/2022] Open
Abstract
Quantitative radiomics features, extracted from medical images, characterize tumour-phenotypes and have been shown to provide prognostic value in predicting clinical outcomes. Stability of radiomics features extracted from apparent diffusion coefficient (ADC)-maps is essential for reliable correlation with the underlying pathology and its clinical applications. Within a multicentre, multi-vendor trial we established a method to analyse radiomics features from ADC-maps of ovarian (n = 12), lung (n = 19), and colorectal liver metastasis (n = 30) cancer patients who underwent repeated (<7 days) diffusion-weighted imaging at 1.5 T and 3 T. From these ADC-maps, 1322 features describing tumour shape, texture and intensity were retrospectively extracted and stable features were selected using the concordance correlation coefficient (CCC > 0.85). Although some features were tissue- and/or respiratory motion-specific, 122 features were stable for all tumour-entities. A large proportion of features were stable across different vendors and field strengths. By extracting stable phenotypic features, fitting-dimensionality is reduced and reliable prognostic models can be created, paving the way for clinical implementation of ADC-based radiomics.
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Affiliation(s)
- Jurgen Peerlings
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Henry C Woodruff
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands.
- Department of Radiology and Nuclear Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands.
| | - Jessica M Winfield
- Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research and Royal Marsden Hospital, Sutton, UK
| | - Abdalla Ibrahim
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Bernard E Van Beers
- Laboratory of Imaging Biomarkers, UMR 1149 Inserm - University Paris Diderot, Paris; Department of Radiology, Beaujon University Hospital Paris Nord, Clichy, France
| | - Arend Heerschap
- Department of Radiology, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Alan Jackson
- Wolfson Imaging Centre, Wolfson Molecular Imaging Centre, University of Manchester, 23 Palatine Rd, Withington, Greater Manchester, UK
| | - Joachim E Wildberger
- Department of Radiology and Nuclear Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Felix M Mottaghy
- Department of Radiology and Nuclear Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Nuclear Medicine, University Hospital RWTH Aachen University, Aachen, Germany
| | - Nandita M DeSouza
- Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research and Royal Marsden Hospital, Sutton, UK
| | - Philippe Lambin
- The D-Lab, Department of Precision Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
- Department of Radiology and Nuclear Medicine, GROW - School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Maastricht, The Netherlands
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24
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Schmeel FC. Variability in quantitative diffusion-weighted MR imaging (DWI) across different scanners and imaging sites: is there a potential consensus that can help reducing the limits of expected bias? Eur Radiol 2018; 29:2243-2245. [PMID: 30488105 DOI: 10.1007/s00330-018-5866-4] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Accepted: 10/25/2018] [Indexed: 12/16/2022]
Abstract
KEY POINTS • Variability of ADC measurements may be substantial across different MRI scanners and imaging sites. • DWI protocol standardization and increased awareness of frequent sources of error can help reducing the limits of expected bias. • Focusing on ADC change and normalized ADC values rather than on absolute measurements can facilitate consistent use of ADC in multi-center studies.
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Affiliation(s)
- Frederic Carsten Schmeel
- Department of Radiology, University Hospital Bonn, Rheinische-Friedrich-Wilhelms-Universität Bonn, Sigmund-Freud-Straße 25, 53127, Bonn, Germany.
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25
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Leroi L, Coste A, de Rochefort L, Santin MD, Valabregue R, Mauconduit F, Giacomini E, Luong M, Chazel E, Valette J, Le Bihan D, Poupon C, Boumezbeur F, Rabrait-Lerman C, Vignaud A. Simultaneous multi-parametric mapping of total sodium concentration, T 1, T 2 and ADC at 7 T using a multi-contrast unbalanced SSFP. Magn Reson Imaging 2018; 53:156-163. [PMID: 30055291 DOI: 10.1016/j.mri.2018.07.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Revised: 07/23/2018] [Accepted: 07/23/2018] [Indexed: 01/10/2023]
Abstract
PURPOSE Quantifying multiple NMR properties of sodium could be of benefit to assess changes in cellular viability in biological tissues. A proof of concept of Quantitative Imaging using Configuration States (QuICS) based on a SSFP sequence with multiple contrasts was implemented to extract simultaneously 3D maps of applied flip angle (FA), total sodium concentration, T1, T2, and Apparent Diffusion Coefficient (ADC). METHODS A 3D Cartesian Gradient Recalled Echo (GRE) sequence was used to acquire 11 non-balanced SSFP contrasts at a 6 × 6 × 6 mm3 isotropic resolution with carefully-chosen gradient spoiling area, RF amplitude and phase cycling, with TR/TE = 20/3.2 ms and 25 averages, leading to a total acquisition time of 1 h 18 min. A least-squares fit between the measured and the analytical complex signals was performed to extract quantitative maps from a mono-exponential model. Multiple sodium phantoms with different compositions were studied to validate the ability of the method to measure sodium NMR properties in various conditions. RESULTS Flip angle maps were retrieved. Relaxation times, ADC and sodium concentrations were estimated with controlled precision below 15%, and were in accordance with measurements from established methods and literature. CONCLUSION The results illustrate the ability to retrieve sodium NMR properties maps, which is a first step toward the estimation of FA, T1, T2, concentration and ADC of 23Na for clinical research. With further optimization of the acquired QuICS contrasts, scan time could be reduced to be suitable with in vivo applications.
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Affiliation(s)
- Lisa Leroi
- NeuroSpin, CEA, DRF/JOLIOT, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Arthur Coste
- NeuroSpin, CEA, DRF/JOLIOT, Université Paris-Saclay, Gif-sur-Yvette, France
| | | | - Mathieu D Santin
- CENIR, Centre de NeuroImagerie de Recherche, Paris, France; ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Université Paris 06 UMR S1127, Institut du Cerveau et de la Moelle épinière, Paris, France
| | - Romain Valabregue
- CENIR, Centre de NeuroImagerie de Recherche, Paris, France; ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Universités, UPMC Université Paris 06 UMR S1127, Institut du Cerveau et de la Moelle épinière, Paris, France
| | | | - Eric Giacomini
- NeuroSpin, CEA, DRF/JOLIOT, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Michel Luong
- NeuroSpin, CEA, DRF/JOLIOT, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Edouard Chazel
- NeuroSpin, CEA, DRF/JOLIOT, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Julien Valette
- Commissariat à l'Energie Atomique et aux Energies Alternatives (CEA), Direction de la Recherche Fondamentale (DRF), Institut de Biologie François Jacob, MIRCen, Fontenay-aux-Roses, France
| | - Denis Le Bihan
- NeuroSpin, CEA, DRF/JOLIOT, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Cyril Poupon
- NeuroSpin, CEA, DRF/JOLIOT, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Fawzi Boumezbeur
- NeuroSpin, CEA, DRF/JOLIOT, Université Paris-Saclay, Gif-sur-Yvette, France
| | | | - Alexandre Vignaud
- NeuroSpin, CEA, DRF/JOLIOT, Université Paris-Saclay, Gif-sur-Yvette, France.
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26
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Winfield JM, Poillucci G, Blackledge MD, Collins DJ, Shah V, Tunariu N, Kaiser MF, Messiou C. Apparent diffusion coefficient of vertebral haemangiomas allows differentiation from malignant focal deposits in whole-body diffusion-weighted MRI. Eur Radiol 2018; 28:1687-1691. [PMID: 29134357 PMCID: PMC5834553 DOI: 10.1007/s00330-017-5079-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2017] [Revised: 08/31/2017] [Accepted: 09/13/2017] [Indexed: 11/04/2022]
Abstract
OBJECTIVES The aim of this study was to identify apparent diffusion coefficient (ADC) values for typical haemangiomas in the spine and to compare them with active malignant focal deposits. METHODS This was a retrospective single-institution study. Whole-body magnetic resonance imaging (MRI) scans of 106 successive patients with active multiple myeloma, metastatic prostate or breast cancer were analysed. ADC values of typical vertebral haemangiomas and malignant focal deposits were recorded. RESULTS The ADC of haemangiomas (72 ROIs, median ADC 1,085×10-6mm2s-1, interquartile range 927-1,295×10-6mm2s-1) was significantly higher than the ADC of malignant focal deposits (97 ROIs, median ADC 682×10-6mm2s-1, interquartile range 583-781×10-6mm2s-1) with a p-value < 10-6. Receiver operating characteristic (ROC) analysis produced an area under the curve of 0.93. An ADC threshold of 872×10-6mm2s-1 separated haemangiomas from malignant focal deposits with a sensitivity of 84.7 % and specificity of 91.8 %. CONCLUSIONS ADC values of classical vertebral haemangiomas are significantly higher than malignant focal deposits. The high ADC of vertebral haemangiomas allows them to be distinguished visually and quantitatively from active sites of disease, which show restricted diffusion. KEY POINTS • Whole-body diffusion-weighted MRI is becoming widely used in myeloma and bone metastases. • ADC values of vertebral haemangiomas are significantly higher than malignant focal deposits. • High ADCs of haemangiomas allows them to be distinguished from active disease.
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Affiliation(s)
- Jessica M Winfield
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK.
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK.
| | - Gabriele Poillucci
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - Matthew D Blackledge
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - David J Collins
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - Vallari Shah
- Haemato-Oncology Research Unit, Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Nina Tunariu
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - Martin F Kaiser
- Haemato-Oncology Research Unit, Division of Molecular Pathology, The Institute of Cancer Research, London, UK
- Department of Haematology, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - Christina Messiou
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, 123 Old Brompton Road, London, SW7 3RP, UK
- Department of Radiology, MRI Unit, The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey, SM2 5PT, UK
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deSouza NM, Winfield JM, Waterton JC, Weller A, Papoutsaki MV, Doran SJ, Collins DJ, Fournier L, Sullivan D, Chenevert T, Jackson A, Boss M, Trattnig S, Liu Y. Implementing diffusion-weighted MRI for body imaging in prospective multicentre trials: current considerations and future perspectives. Eur Radiol 2018; 28:1118-1131. [PMID: 28956113 PMCID: PMC5811587 DOI: 10.1007/s00330-017-4972-z] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2016] [Revised: 05/24/2017] [Accepted: 06/28/2017] [Indexed: 12/18/2022]
Abstract
For body imaging, diffusion-weighted MRI may be used for tumour detection, staging, prognostic information, assessing response and follow-up. Disease detection and staging involve qualitative, subjective assessment of images, whereas for prognosis, progression or response, quantitative evaluation of the apparent diffusion coefficient (ADC) is required. Validation and qualification of ADC in multicentre trials involves examination of i) technical performance to determine biomarker bias and reproducibility and ii) biological performance to interrogate a specific aspect of biology or to forecast outcome. Unfortunately, the variety of acquisition and analysis methodologies employed at different centres make ADC values non-comparable between them. This invalidates implementation in multicentre trials and limits utility of ADC as a biomarker. This article reviews the factors contributing to ADC variability in terms of data acquisition and analysis. Hardware and software considerations are discussed when implementing standardised protocols across multi-vendor platforms together with methods for quality assurance and quality control. Processes of data collection, archiving, curation, analysis, central reading and handling incidental findings are considered in the conduct of multicentre trials. Data protection and good clinical practice are essential prerequisites. Developing international consensus of procedures is critical to successful validation if ADC is to become a useful biomarker in oncology. KEY POINTS • Standardised acquisition/analysis allows quantification of imaging biomarkers in multicentre trials. • Establishing "precision" of the measurement in the multicentre context is essential. • A repository with traceable data of known provenance promotes further research.
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Affiliation(s)
- N. M. deSouza
- CRUK Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Surrey, SM2 5PT UK
| | - J. M. Winfield
- CRUK Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Surrey, SM2 5PT UK
| | - J. C. Waterton
- Manchester Academic Health Sciences Institute, University of Manchester, Manchester, UK
| | - A. Weller
- CRUK Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Surrey, SM2 5PT UK
| | - M.-V. Papoutsaki
- CRUK Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Surrey, SM2 5PT UK
| | - S. J. Doran
- CRUK Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Surrey, SM2 5PT UK
| | - D. J. Collins
- CRUK Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Downs Road, Surrey, SM2 5PT UK
| | - L. Fournier
- Assistance Publique-Hôpitaux de Paris, Hôpital Européen Georges Pompidou, Radiology Department, Université Paris Descartes Sorbonne Paris Cité, Paris, France
| | - D. Sullivan
- Duke Comprehensive Cancer Institute, Durham, NC USA
| | - T. Chenevert
- Department of Radiology, University of Michigan Health System, Ann Arbor, MI USA
| | - A. Jackson
- Manchester Academic Health Sciences Institute, University of Manchester, Manchester, UK
| | - M. Boss
- Applied Physics Division, National Institute of Standards and Technology (NIST), Boulder, CO USA
| | - S. Trattnig
- Department of Biomedical Imaging and Image guided Therapy, Medical University of Vienna, 1090 Vienna, Austria
| | - Y. Liu
- European Organisation for Research and Treatment of Cancer, Headquarters, Brussels, Belgium
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28
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Barnes A, Alonzi R, Blackledge M, Charles-Edwards G, Collins DJ, Cook G, Coutts G, Goh V, Graves M, Kelly C, Koh DM, McCallum H, Miquel ME, O’Connor J, Padhani A, Pearson R, Priest A, Rockall A, Stirling J, Taylor S, Tunariu N, van der Meulen J, Walls D, Winfield J, Punwani S. UK quantitative WB-DWI technical workgroup: consensus meeting recommendations on optimisation, quality control, processing and analysis of quantitative whole-body diffusion-weighted imaging for cancer. Br J Radiol 2018; 91:20170577. [PMID: 29076749 PMCID: PMC5966219 DOI: 10.1259/bjr.20170577] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Revised: 10/09/2017] [Accepted: 10/11/2017] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVE Application of whole body diffusion-weighted MRI (WB-DWI) for oncology are rapidly increasing within both research and routine clinical domains. However, WB-DWI as a quantitative imaging biomarker (QIB) has significantly slower adoption. To date, challenges relating to accuracy and reproducibility, essential criteria for a good QIB, have limited widespread clinical translation. In recognition, a UK workgroup was established in 2016 to provide technical consensus guidelines (to maximise accuracy and reproducibility of WB-MRI QIBs) and accelerate the clinical translation of quantitative WB-DWI applications for oncology. METHODS A panel of experts convened from cancer centres around the UK with subspecialty expertise in quantitative imaging and/or the use of WB-MRI with DWI. A formal consensus method was used to obtain consensus agreement regarding best practice. Questions were asked about the appropriateness or otherwise on scanner hardware and software, sequence optimisation, acquisition protocols, reporting, and ongoing quality control programs to monitor precision and accuracy and agreement on quality control. RESULTS The consensus panel was able to reach consensus on 73% (255/351) items and based on consensus areas made recommendations to maximise accuracy and reproducibly of quantitative WB-DWI studies performed at 1.5T. The panel were unable to reach consensus on the majority of items related to quantitative WB-DWI performed at 3T. CONCLUSION This UK Quantitative WB-DWI Technical Workgroup consensus provides guidance on maximising accuracy and reproducibly of quantitative WB-DWI for oncology. The consensus guidance can be used by researchers and clinicians to harmonise WB-DWI protocols which will accelerate clinical translation of WB-DWI-derived QIBs.
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Affiliation(s)
- Anna Barnes
- Centre for Medical Imaging, University College London,University College London, London, UK
| | - Roberto Alonzi
- Clinical Oncology, Mount Vernon Cancer Centre, Northwood, UK
| | - Matthew Blackledge
- Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging, Institute of Cancer Research,Institute of Cancer Research, Sutton, UK
| | | | | | | | - Glynn Coutts
- MR Physics, The Christie NHS Foundation Trust, The Christie NHS Foundation Trust, Manchester, UK
| | | | - Martin Graves
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust,Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Charles Kelly
- Department of Radiology, Northern Centre for CancerCare, Newcastle upon Tyne Hospitals, NHS Foundations Trust,Northern Centre for CancerCare, Newcastle upon Tyne Hospitals, NHS Foundations Trust, Newcastle upon Tyne, UK
| | | | - Hazel McCallum
- Department of Radiology, Northern Centre for CancerCare, Newcastle upon Tyne Hospitals, NHS Foundations Trust,Northern Centre for CancerCare, Newcastle upon Tyne Hospitals, NHS Foundations Trust, Newcastle upon Tyne, UK
| | | | | | - Anwar Padhani
- Paul Strickland Cancer Centre, Mount Vernon Cancer Centre, Northwood, UK
| | | | - Andrew Priest
- Department of Radiology, Cambridge University Hospitals NHS Foundation Trust,Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Andrea Rockall
- Department of Radiology, The Royal Marsden Hospital Foundation Trust,The Royal Marsden Hospital Foundation Trust, Surrey, UK
| | | | | | | | - Jan van der Meulen
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine,London School of Hygiene and Tropical Medicine, London, UK
| | - Darren Walls
- Institute Nuclear Medicine, University College London, London, UK
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29
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Pathak R, Ragheb H, Thacker NA, Morris DM, Amiri H, Kuijer J, deSouza NM, Heerschap A, Jackson A. A data-driven statistical model that estimates measurement uncertainty improves interpretation of ADC reproducibility: a multi-site study of liver metastases. Sci Rep 2017; 7:14084. [PMID: 29075009 PMCID: PMC5658431 DOI: 10.1038/s41598-017-14625-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 10/09/2017] [Indexed: 02/06/2023] Open
Abstract
Apparent Diffusion Coefficient (ADC) is a potential quantitative imaging biomarker for tumour cell density and is widely used to detect early treatment changes in cancer therapy. We propose a strategy to improve confidence in the interpretation of measured changes in ADC using a data-driven model that describes sources of measurement error. Observed ADC is then standardised against this estimation of uncertainty for any given measurement. 20 patients were recruited prospectively and equitably across 4 sites, and scanned twice (test-retest) within 7 days. Repeatability measurements of defined regions (ROIs) of tumour and normal tissue were quantified as percentage change in mean ADC (test vs. re-test) and then standardised against an estimation of uncertainty. Multi-site reproducibility, (quantified as width of the 95% confidence bound between the lower confidence interval and higher confidence interval for all repeatability measurements), was compared before and after standardisation to the model. The 95% confidence interval width used to determine a statistically significant change reduced from 21.1 to 2.7% after standardisation. Small tumour volumes and respiratory motion were found to be important contributors to poor reproducibility. A look up chart has been provided for investigators who would like to estimate uncertainty from statistical error on individual ADC measurements.
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Affiliation(s)
- Ryan Pathak
- University of Manchester, Wolfson Molecular Imaging Centre, Manchester, UK.
| | - Hossein Ragheb
- University of Manchester, Wolfson Molecular Imaging Centre, Manchester, UK
| | - Neil A Thacker
- University of Manchester, Wolfson Molecular Imaging Centre, Manchester, UK
| | - David M Morris
- University of Manchester, Wolfson Molecular Imaging Centre, Manchester, UK
| | - Houshang Amiri
- Radboudumc, Radiology and Nuclear Medicine, Nijmegen, Gelderland, NL, Netherlands
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Joost Kuijer
- VU University Medical Center, Physics & Medical Technology, PO Box 7057, Amsterdam, NL, 1007MB, Netherlands
| | - Nandita M deSouza
- Institute of Cancer Research, MRI Unit, Downs Road, Sutton, Surrey, SM2 5PT, UK
| | - Arend Heerschap
- Radboudumc, Radiology and Nuclear Medicine, Nijmegen, Gelderland, NL, Netherlands
| | - Alan Jackson
- University of Manchester, Wolfson Molecular Imaging Centre, Manchester, UK
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30
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Koc Z, Erbay G, Karadeli E. Internal comparison standard for abdominal diffusion-weighted imaging. Acta Radiol 2017; 58:1029-1036. [PMID: 27956463 DOI: 10.1177/0284185116681040] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Background Standards for abdominal diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) measurements, and analysis are required for reproducibility. Purpose To identify optimal internal comparison standards for DWI to normalize the measured ADC for increased accuracy of differentiating malignant and benign abdominal lesions. Material and Methods We retrospectively studied 97 lesions (89 patients; age, 57 ± 13 years) with histopathologically confirmed abdominal disease. Seven normal body parts/contents (normal parenchyma, spleen, kidney, gallbladder bile, paraspinal muscle, spinal cord, and cerebrospinal fluid [CSF]) were assessed as internal references for possible use as comparison standards. Three observers performed ADC measurements. Statistical analyses included interclass correlation coefficients (ICCs), Mann-Whitney and Kruskal-Wallis tests, and coefficient of variation (CV). ROC analyses were performed to assess diagnostic accuracy of lesion ADC and normalized ADC for differentiating lesions. Pathology results were the reference standard. Results Mean and normalized ADCs were significantly lower for malignant lesions than for benign lesions ( P < 0.001). ICC was excellent for all internal references. Gallbladder had the lowest CV. Receiver operating characteristic (ROC) analyses showed that normalized ADCs obtained using normal parenchyma were better than lesion ADCs for differentiating malignant and benign abdominal lesions (area under the curve [AUC], 0.808 and 0.756, respectively). The normalized ADCs obtained using CSF shows higher accuracy than lesion ADCs (0.80 and 0.76, respectively) for differentiating between malignant and benign abdominal lesions. Conclusion The normal parenchyma from a lesion-detected organ can be used as an internal comparison standard for DWI. CSF can be used as a generalizable in plane reference standard.
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Affiliation(s)
- Zafer Koc
- Faculty of Medicine, Department of Radiology, Baskent University, Ankara, Turkey
| | - Gurcan Erbay
- Faculty of Medicine, Department of Radiology, Baskent University, Ankara, Turkey
| | - Elif Karadeli
- Faculty of Medicine, Department of Radiology, Baskent University, Ankara, Turkey
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31
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Winfield JM, Tunariu N, Rata M, Miyazaki K, Jerome NP, Germuska M, Blackledge MD, Collins DJ, de Bono JS, Yap TA, deSouza NM, Doran SJ, Koh DM, Leach MO, Messiou C, Orton MR. Extracranial Soft-Tissue Tumors: Repeatability of Apparent Diffusion Coefficient Estimates from Diffusion-weighted MR Imaging. Radiology 2017; 284:88-99. [PMID: 28301311 PMCID: PMC6063352 DOI: 10.1148/radiol.2017161965] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Purpose To assess the repeatability of apparent diffusion coefficient (ADC) estimates in extracranial soft-tissue diffusion-weighted magnetic resonance imaging across a wide range of imaging protocols and patient populations. Materials and Methods Nine prospective patient studies and one prospective volunteer study, performed between 2006 and 2016 with research ethics committee approval and written informed consent from each subject, were included in this single-institution study. A total of 141 tumors and healthy organs were imaged twice (interval between repeated examinations, 45 minutes to 10 days, depending the on study) to assess the repeatability of median and mean ADC estimates. The Levene test was used to determine whether ADC repeatability differed between studies. The Pearson linear correlation coefficient was used to assess correlation between coefficient of variation (CoV) and the year the study started, study size, and volumes of tumors and healthy organs. The repeatability of ADC estimates from small, medium, and large tumors and healthy organs was assessed irrespective of study, and the Levene test was used to determine whether ADC repeatability differed between these groups. Results CoV aggregated across all studies was 4.1% (range for each study, 1.7%-6.5%). No correlation was observed between CoV and the year the study started or study size. CoV was weakly correlated with volume (r = -0.5, P = .1). Repeatability was significantly different between small, medium, and large tumors (P < .05), with the lowest CoV (2.6%) for large tumors. There was a significant difference in repeatability between studies-a difference that did not persist after the study with the largest tumors was excluded. Conclusion ADC is a robust imaging metric with excellent repeatability in extracranial soft tissues across a wide range of tumor sites, sizes, patient populations, and imaging protocol variations. Online supplemental material is available for this article.
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Affiliation(s)
- Jessica M Winfield
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Nina Tunariu
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Mihaela Rata
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Keiko Miyazaki
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Neil P Jerome
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Michael Germuska
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Matthew D Blackledge
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - David J Collins
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Johann S de Bono
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Timothy A Yap
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Nandita M deSouza
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Simon J Doran
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Dow-Mu Koh
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Martin O Leach
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Christina Messiou
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
| | - Matthew R Orton
- From the Cancer Research UK Cancer Imaging Centre, Division of Radiotherapy and Imaging (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Division of Clinical Studies (J.S.d.B., T.A.Y.), the Institute of Cancer Research and Royal Marsden Hospital, London, England; MRI Unit (J.M.W., N.T., M.R., K.M., N.P.J., M.G., M.D.B., D.J.C., N.M.d.S., S.J.D., D.M.K., M.O.L., C.M., M.R.O.) and Drug Development Unit (J.S.d.B., T.A.Y.), the Royal Marsden NHS Foundation Trust, Downs Road, Sutton, Surrey SM2 5PT, England
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DCE-MRI, DW-MRI, and MRS in Cancer: Challenges and Advantages of Implementing Qualitative and Quantitative Multi-parametric Imaging in the Clinic. Top Magn Reson Imaging 2017; 25:245-254. [PMID: 27748710 PMCID: PMC5081190 DOI: 10.1097/rmr.0000000000000103] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Multi-parametric magnetic resonance imaging (mpMRI) offers a unique insight into tumor biology by combining functional MRI techniques that inform on cellularity (diffusion-weighted MRI), vascular properties (dynamic contrast-enhanced MRI), and metabolites (magnetic resonance spectroscopy) and has scope to provide valuable information for prognostication and response assessment. Challenges in the application of mpMRI in the clinic include the technical considerations in acquiring good quality functional MRI data, development of robust techniques for analysis, and clinical interpretation of the results. This article summarizes the technical challenges in acquisition and analysis of multi-parametric MRI data before reviewing the key applications of multi-parametric MRI in clinical research and practice.
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