MRI Apparent Diffusion Coefficient (ADC) as a Biomarker of Tumour Response: Imaging-Pathology Correlation in Patients with Hepatic Metastases from Colorectal Cancer (EORTC 1423)

Simple Summary We hypothesised that change in a magnetic resonance imaging (MRI) biomarker, the apparent diffusion coefficient (ADC) after 14 days of treatment could be a proxy for tumour regression grade (TRG) on pathology. Measurement of the imaging biomarker was standardised across centres. We restricted measurements to liver metastases from colorectal cancer and ensured a standardised chemotherapy approach. We identified and eliminated significant measurement error due to MRI scanner performance. We excluded studies that failed to conform to the imaging protocol or where images contained movement artefact. We ensured stability of the scanners by periodic quality control testing and used a standard, widely used data analysis technique to derive the ADC. Despite these measures, our results showed no significant correlation between ADC and TRG or between ADC and percentage of viable tumour, percentage necrosis, percentage fibrosis or a tumour proliferation index. This may reflect the complex cellular architecture of tumours after treatment. 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.

[1]  Jeppe Thagaard,et al.  Development of a method for digital assessment of tumor regression grade in patients with rectal cancer following neoadjuvant therapy , 2022, Journal of pathology informatics.

[2]  H. Schlemmer,et al.  Quantification and reduction of cross-vendor variation in multicenter DWI MR imaging: results of the Cancer Core Europe imaging task force , 2022, European Radiology.

[3]  J. Lätt,et al.  Changes in apparent diffusion coefficient and pathological response in colorectal liver metastases after preoperative chemotherapy , 2022, Acta radiologica.

[4]  N. Lundbom,et al.  Treatment response of colorectal cancer liver metastases to neoadjuvant or conversion therapy: a prospective multicentre follow-up study using MRI, diffusion-weighted imaging and 1H-MR spectroscopy compared with histology (subgroup in the RAXO trial) , 2021, ESMO open.

[5]  R. Lencioni,et al.  Colorectal liver metastases: ADC as an imaging biomarker of tumor behavior and therapeutic response. , 2021, European journal of radiology.

[6]  H. Lv,et al.  Identifying response in colorectal liver metastases treated with bevacizumab: development of RECIST by combining contrast-enhanced and diffusion-weighted MRI , 2021, European Radiology.

[7]  J. Brenton,et al.  Biomarkers for site-specific response to neoadjuvant chemotherapy in epithelial ovarian cancer: relating MRI changes to tumour cell load and necrosis , 2021, British journal of cancer.

[8]  N. Inan,et al.  Intravoxel Incoherent Motion of Colon Cancer Liver Metastases for the Assessment of Response to Antiangiogenic Treatment: Results from a Pilot Study , 2020, Medical Principles and Practice.

[9]  N. Thacker,et al.  Considering tumour volume for motion corrected DWI of colorectal liver metastases increases sensitivity of ADC to detect treatment-induced changes , 2019, Scientific Reports.

[10]  F. Schmeel 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? , 2018, European Radiology.

[11]  G. Beets,et al.  Advanced imaging to predict response to chemotherapy in colorectal liver metastases - a systematic review. , 2017, HPB : the official journal of the International Hepato Pancreato Biliary Association.

[12]  N. Thacker,et al.  A data-driven statistical model that estimates measurement uncertainty improves interpretation of ADC reproducibility: a multi-site study of liver metastases , 2017, Scientific Reports.

[13]  A. Jackson,et al.  Implementing diffusion-weighted MRI for body imaging in prospective multicentre trials: current considerations and future perspectives , 2017, European Radiology.

[14]  D. Caramella,et al.  3T diffusion-weighted MRI in the response assessment of colorectal liver metastases after chemotherapy: Correlation between ADC value and histological tumour regression grading. , 2017, European journal of radiology.

[15]  D. Collins,et al.  Extracranial Soft-Tissue Tumors: Repeatability of Apparent Diffusion Coefficient Estimates from Diffusion-weighted MR Imaging. , 2017, Radiology.

[16]  Stuart A. Taylor,et al.  Imaging biomarker roadmap for cancer studies , 2016, Nature Reviews Clinical Oncology.

[17]  J. Han,et al.  Diffusion-Related MRI Parameters for Assessing Early Treatment Response of Liver Metastases to Cytotoxic Therapy in Colorectal Cancer. , 2016, AJR. American journal of roentgenology.

[18]  D. Collins,et al.  Development of a temperature-controlled phantom for magnetic resonance quality assurance of diffusion, dynamic, and relaxometry measurements. , 2016, Medical physics.

[19]  Andrew N Priest,et al.  A framework for optimization of diffusion-weighted MRI protocols for large field-of-view abdominal-pelvic imaging in multicenter studies. , 2015, Medical physics.

[20]  Matthew A Kupinski,et al.  Diffusion MRI with Semi-Automated Segmentation Can Serve as a Restricted Predictive Biomarker of the Therapeutic Response of Liver Metastasis. , 2015, Magnetic resonance imaging.

[21]  Stefan Klein,et al.  The Accuracy of ADC Measurements in Liver Is Improved by a Tailored and Computationally Efficient Local-Rigid Registration Algorithm , 2015, PloS one.

[22]  N M deSouza,et al.  Diffusion-weighted MRI for imaging cell death after cytotoxic or apoptosis-inducing therapy , 2015, British Journal of Cancer.

[23]  D. Collins,et al.  Modelling DW-MRI data from primary and metastatic ovarian tumours , 2015, European Radiology.

[24]  A. Padhani,et al.  Apparent diffusion coefficient measurements as very early predictive markers of response to chemotherapy in hepatic metastasis: A preliminary investigation of reproducibility and diagnostic value , 2014, Journal of magnetic resonance imaging : JMRI.

[25]  B. Seifert,et al.  Diffusion-weighted MR imaging of upper abdominal organs: field strength and intervendor variability of apparent diffusion coefficients. , 2014, Radiology.

[26]  Timothy D Johnson,et al.  Multi‐system repeatability and reproducibility of apparent diffusion coefficient measurement using an ice‐water phantom , 2013, Journal of magnetic resonance imaging : JMRI.

[27]  J. Bussink,et al.  Diffusion-weighted MR imaging in liver metastases of colorectal cancer: reproducibility and biological validation , 2013, European Radiology.

[28]  R. Boubertakh,et al.  In vitro and in vivo repeatability of abdominal diffusion-weighted MRI. , 2012, The British journal of radiology.

[29]  D. Driman,et al.  Infarct-like Necrosis: A Distinct Form of Necrosis Seen in Colorectal Carcinoma Liver Metastases Treated With Perioperative Chemotherapy , 2012, The American journal of surgical pathology.

[30]  N. Thacker,et al.  Quantifying heterogeneity in human tumours using MRI and PET. , 2012, European journal of cancer.

[31]  R. Meuli,et al.  Interobserver and intraobserver variability of the apparent diffusion coefficient in treated malignant hepatic lesions on a 3.0T machine: Measurements in the whole lesion versus in the area with the most restricted diffusion , 2010, Journal of magnetic resonance imaging : JMRI.

[32]  G. Beets,et al.  Value of ADC measurements for nodal staging after chemoradiation in locally advanced rectal cancer—a per lesion validation study , 2010, European Radiology.

[33]  Giacomo Belli,et al.  MR‐diffusion weighted imaging of healthy liver parenchyma: Repeatability and reproducibility of apparent diffusion coefficient measurement , 2010, Journal of magnetic resonance imaging : JMRI.

[34]  E. Merkle,et al.  Field Strength and Diffusion Encoding Technique Affect the Apparent Diffusion Coefficient Measurements in Diffusion-Weighted Imaging of the Abdomen , 2010, Investigative radiology.

[35]  P. Choyke,et al.  Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. , 2009, Neoplasia.

[36]  S. Nawano,et al.  The effect of simultaneous use of respiratory triggering in diffusion-weighted imaging of the liver. , 2006, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[37]  L. Rubbia‐Brandt,et al.  Importance of histological tumor response assessment in predicting the outcome in patients with colorectal liver metastases treated with neo-adjuvant chemotherapy followed by liver surgery. , 2006, Annals of oncology : official journal of the European Society for Medical Oncology.