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Erschienen in: European Radiology 8/2018

Open Access 23.02.2018 | Hepatobiliary-Pancreas

Late gadolinium enhancement of colorectal liver metastases post-chemotherapy is associated with tumour fibrosis and overall survival post-hepatectomy

verfasst von: Helen M. C. Cheung, Paul J. Karanicolas, Eugene Hsieh, Natalie Coburn, Tishan Maraj, Jin K. Kim, Howaida Elhakim, Masoom A. Haider, Calvin Law, Laurent Milot

Erschienen in: European Radiology | Ausgabe 8/2018

Abstract

Purpose

To determine whether late gadolinium MRI enhancement of colorectal liver metastases (CRCLM) post-chemotherapy is associated with tumour fibrosis and survival post-hepatectomy.

Materials and methods

The institutional review board approved this retrospective cohort study and waived the requirement for informed consent. A cohort of 121 surgical patients who received preoperative MRI after chemotherapy between 2006-2012 was included in this study. Target tumour enhancement (TTE), defined as the mean contrast-to-noise ratio of up to two target lesions on late-phase gadobutrol-enhanced MRI, was determined by two independent raters. The average TTE was correlated with tumour fibrosis on post-hepatectomy specimens using Spearman correlation and with survival post-hepatectomy using Kaplan-Meier and Cox regression. Inter-rater reliability was determined using relative intra-class correlation coefficients.

Results

In the surgical cohort (mean age: 63.0 years; male: 58%), TTE was associated with tumour fibrosis (r = 0.43, p < 0.001). Strong TTE was associated with improved survival compared to weak TTE (3-year survival: 88.4% vs. 58.8%, p = 0.003) with a hazard ratio of 0.32 (95% CI: 0.14-0.75, p = 0.008), after taking into account known prognostic variables. Inter-rater reliability was very good with a relative intraclass correlation of 0.84 (95% CI: 0.77-0.89).

Conclusion

Late gadolinium MRI enhancement of CRCLM post-chemotherapy is associated with tumour fibrosis and survival.

Key Points

• MRI enhancement of colorectal liver metastases is associated with survival post-hepatectomy
• MRI enhancement of chemotherapy-treated colorectal liver metastases correlates with tumour fibrosis
• Measuring late MRI enhancement using target tumour enhancement is reliable
Abkürzungen
CNR
Contrast-to-noise ratio
CRCLM
Colorectal liver metastases
DCE-MRI
Dynamic contrast-enhanced MRI
MRI
Magnetic resonance imaging
PET
Positron emission tomography
RECIST
Response evaluation criteria in solid tumours
ROI
Region of interest
SD
Standard deviation
SI
Signal intensity
TTE
Target tumour enhancement

Introduction

Colorectal cancer is the second leading cause of cancer deaths in the developed world [1]. Approximately half of patients develop liver metastases and most deaths are related to metastatic disease [2]. The median survival of patients with colorectal liver metastases (CRCLM) without treatment is 7.5 months [3]. With advancements in surgical and chemotherapy techniques, the survival of patients with CRCLM has significantly improved. In a meta-analysis by Kanas et al. (2012), the 5- and 10-year survival of patients with resected CRCLM was 38% and 26%, respectively [2]. This is likely even higher with more recent data and improving surgical and chemotherapy techniques.
The ability to predict prognosis informs treatment recommendations, including surgery and/or chemotherapy. Several prognostic indicators stratify risk for patients with CRCLM including clinical, pathology, and molecular prognostic biomarkers (3-4). However, the use of magnetic resonance imaging (MRI) to stratify risk in patients with CRCLM is relatively unexplored. MRI is routinely used clinically for diagnosis, staging, and operative planning in patients being considered for liver resection, so information gained from MRI could be easily translated into clinical practice.
Several studies have demonstrated that tumour fibrosis in post-hepatectomy CRCLM specimens is associated with overall survival [4, 5]. This may be related to the pathological response to chemotherapy. Pathologically, tumour fibrosis in CRCLM closely resembles the appearance of tumour fibrosis in cholangiocarcinoma. In cholangiocarcinoma, late gadolinium enhancement on MRI with extracellular contrast agents is correlated with tumour fibrosis [6]. This association has also been reported with CRCLM, although this is less well studied [6]. Thus, we hypothesise that late gadolinium enhancement of colorectal cancer liver metastases may be correlated with tumour fibrosis post-chemotherapy and therefore with overall survival post-hepatectomy.
The purpose of our study was to determine whether late gadolinium enhancement of CRCLM on MRI with gadobutrol is associated with tumour fibrosis and overall survival post-hepatectomy.

Materials and methods

This study was an institutional-REB approved, retrospective study.

Participants

The retrospective cohort included all patients at a single tertiary cancer centre with CRCLM who had received a gadobutrol-enhanced MRI after treatment with chemotherapy (variable regimens as determined by standard of care, clinical treatment) and prior to hepatic resection for curative intent between January 1, 2006, and December 31, 2012. Preoperative MRI is performed as part of the routine imaging work-up for diagnosis and staging at this institution. All patients met institution guidelines for hepatic resection with curative intent (no extrahepatic disease at time of MRI) and were deemed fit for major surgery. The typical workflow in our institution is as follows: patients are referred to the hepatobiliary surgeons with outside ultrasound or CT imaging suggestive of CRCLM. Patients who are possible surgical candidates are then referred for MRI by the hepatobiliary surgeons for preoperative MRI prior to surgery.
Exclusion criteria included patients who did not have 10-min delayed-phase imaging, MRIs with image quality unacceptable for analysis, or patients that did not have measurable target lesions. Patients who died within 30 days of surgery were also excluded to eliminate deaths due to perioperative mortality. If multiple gadobutrol-enhanced MRIs were performed, the MRI closest to the surgical date was used for analysis.
Clinical and demographic information was obtained from electronic patient records as well as publicly available obituary databases, including age, sex, chemotherapy prior to MRI, and a validated clinical risk score, developed by Feroci and Fong [7]. The clinical risk score is calculated as a five-point scale, with one point for each of the following: number of tumours > 1, size of largest tumour ≥ 5 cm, metachronous metastases (time from diagnosis of primary to time of diagnosis of metastases ≤ 12 months), primary colorectal cancer with ≥ 5 lymph nodes positive, and preoperative carcinoembryonic antigen level ≥ 200 ng/ml [7]. A high preoperative clinical risk score is a validated predictor of poor long-term postoperative survival [7].
The clinical endpoint for this study was overall survival. Follow-up data were collected up to January 1, 2016.

Magnetic resonance imaging (MRI) protocol and analysis

All patients received a gadobutrol-enhanced MRI for diagnostic and staging purposes as part of their routine clinical work-up using standard clinical liver imaging protocols at our institution. As part of the contrast-enhanced series, delayed 3D axial T1 imaging was routinely performed 10 min post-intravenous injection of gadobutrol (0.1 ml/kg body mass up to 10 ml at 1.0 mmol/ml). All studies were performed on 1.5-T (GE Twinspeed™, TR, 4.5; TE, 2.2; flip angle, 15; slice thickness, 5 mm; spacing, 2.5 mm; FOV, 380 mm; matrix, 320 × 192) or 3.0-T (Philips Achieva™, TR, 3.0; TE, 1.4; flip angle, 10; slice thickness, 3 mm; spacing, 1.5 mm, FOV, 380; matrix, 250 × 250) magnets with an eight-channel body phased array coil covering the entire liver.
Imaging analysis was performed on standard picture-archiving and communication system (PACS) software at our institution (Agfa Impax 6.3.1, AGFA HealthCare N.V., Belgium™). Up to two target lesions were identified as per Response Evaluation Criteria in Solid Tumours (RECIST) 1.1 criteria [8]. If multiple CRLMs met the criteria for target lesions, then the two largest measurable lesions were chosen. Patients were excluded from the study if there were no measurable lesions as defined by RECIST 1.1. Target lesions were confirmed as CRCLMs based on postoperative pathology reports.
For all target lesions, the contrast-to-noise ratio (CNR) on 10-min delayed phase was calculated using previously described methods [9]. At the axial level where the lesion was the largest, a round region of interest (ROI) most closely approximating the entire tumour was drawn to determine the lesion’s mean signal intensity (SI). The mean SI of five 1-2-cm ROIs drawn in the surrounding liver parenchyma (avoiding the tumour or major blood vessels) on the same slice as the tumour was determined. The standard deviation (SD) of the background noise was calculated from taking the mean SD of eight 1-2-cm ROIs drawn in the background in the four quadrants, taking care to exclude banding surrounding the patient due to motion artefact.
The CNR of each CRCLM was calculated as follows:
$$ CNR=\frac{SI\ (lesion)- SI\ (liver)}{SD\ (noise)}. $$
(1)
The target tumour enhancement (TTE) was calculated as the mean of the CNR of the target lesion(s). Two separate readers (HC and TM with 6 and 1 years of experience) independently determined the TTE. The mean TTE between the two readers was used for radiological-pathological and survival analysis.

Pathology analysis

Gross tumour sizes were determined based on the largest diameter post-fixation (10% buffered formalin). Haematoxylin and eosin-stained slides were prepared from representative paraffin blocks. A single pathologist (HE, with 6 years of experience) qualitatively assessed the approximate percentage of fibrosis, necrosis, acellular mucin, and viable tumour cells on each representative slide. The CRCLMs identified on the pathology specimens were matched to the target CRCLMs identified on imaging by matching the location of the tumour and the size of the tumour. Patients were excluded from radiological-pathological analysis if the specimens were not available for analysis or if there were multiple CRCLMs of similar size in the same location that could not be matched on a per-lesion basis.
All imaging and pathology analyses were performed by readers blinded to all clinical information (other than the history of CRCLM).

Statistical analysis

Patients were dichotomised into weak and strong TTE (Fig. 1). The cut-off point was determined using the surgical cohort using the Youden Index for 3-year survival [10].
A chi-Square test was used to determine if there were differences in demographic data between the strong and weak TTE groups.
Spearman correlations were used to determine whether there was a correlation between TTE and the mean percentage fibrosis, necrosis, acellular mucin, and viable tumour cells of the matched target lesions determined on pathological analysis. The median target percentage of fibrosis, necrosis, and viable tumour cells was determined for both high and low TTE.
The association between the patient’s TTE and survival was determined using Kaplan-Meier statistics. Multivariable Cox regression statistics were used to assess the association between TTE and survival after taking the clinical risk score into account.
Post-hoc sensitivity analyses were performed using Cox regression for time from MRI to surgery as well as for any demographic variables that demonstrated significant differences between strong and weak TTE (Table 1).
Table 1
Baseline demographics of patient population (n = 121, entire cohort)
 
Weak target tumour enhancement
(n = 74)
Strong target tumour enhancement
(n = 47)
p value*
Age
 < 65 years
40 (54.1%)
24 (51.1%)
p = 0.75
 ≥ 65 years
34 (45.9%)
23 (48.9%)
Sex
 Male
43 (58.1%)
27 (57.4%)
p = 0.94
 Female
31 (41.9%)
20 (42.6%)
Clinical risk score
 < 3
52 (76.5%)
34 (77.3%)
p = 0.92
 ≥ 3
16 (23.5%)
10 (22.7%)
Number of tumours
 = 1 tumour
36 (48.6%)
17 (36.2%)
p = 0.18
 > 1 tumour
38 (51.4%)
30 (63.8%)
Tumour size
 < 5 cm
55 (74.3%)
43 (91.5%)
p = 0.019*
 ≥ 5 cm
19 (25.7%)
4 (8.5%)
Time from diagnosis of primary to diagnosis of metastasis
 ≤ 12 months
30 (40.5%)
13 (27.7%)
p = 0.149
 > 12 months
44 (59.5%)
34 (72.3%)
Number of positive lymph nodes
 < 5 nodes positive
53 (73.6%)
36 (76.6%)
p = 0.71
 ≥ 5 nodes positive
19 (26.4%)
11 (23.4%)
 Data not available
2
0
Preoperative CEA level
 < 200 ng/ml
60 (95.2%)
43 (95.6%)
p = 0.94
 ≥ 200 ng/ml
3 (4.8%)
2 (4.4%)
 Data not available
11
2
Magnet
 1.5 T
45 (60.8%)
30 (63.8%)
p = 0.74
 3.0 T
29 (39.2%)
17 (36.2%)
Additional post-hoc analyses were also performed to determine the proportion of patients with heterogeneous target lesions (1 lesion with CNR < 11 and 1 lesion with CNR > 11). Sensitivity analysis was performed excluding patients with heterogeneous target lesions to determine whether heterogeneity affected our results.
The TTE determined by each rater was compared using relative intra-class correlation coefficients to determine inter-rater reliability (two-way mixed model).

Results

Among the 121 patients who met inclusion/exclusion criteria for the study (Fig. 2), the mean age was 63.0 years (SD: 11.2 years) with 70 (57.9%) males and 51 (42.1%) females (Table 1). The median time from MRI to surgery was 2.7 months (range: 0.1-10.5 months). There were 40 deaths during the follow-up period.
Based on the Youden Index, the optimal cut-off for weak and strong TTE was CNR = 11. Seventy-four patients (61.1%) had weak and 47 patients (38.8%) strong TTE.
Patients with strong TTE were more likely to have smaller tumours (p = 0.019). No other demographic data were significantly different between the MRI groups (Table 1).
It was possible to accurately match lesions between MRI and pathology for 91 patients with 126 target CRCLMs. The Spearman correlations between TTE and the mean target percentage of fibrosis, necrosis, acellular mucin, and viable tumour cells were 0.43 (p < 0.001), -0.22 (p = 0.036), 0.02 (p = 0.84), and -0.05 (p = 0.63), respectively. The median target percentage of fibrosis for high TTE and low TTE were 15.0% [interquartile range (IQR): 3.0% to 30.0%] and 37.5% (IQR: 15.0% to 51.3%), respectively (Fig. 3a). The median target percentage necrosis for high TTE and low TTE was 30.0% (IQR: 15.0% to 50.0%) and 10.0% (IQR: 3.8% to 35.0%), respectively (Fig. 3b). The median target percentage viable tumour cells for high and low TTE was 40.0% (IQR: 10.0% to 50.0%) and 32.5% (IQR: 16.5% to 50.0%) respectively (Fig. 3c). Most patients did not have tumours that contained acellular mucin (only 12 patients); therefore, the median target percentage acellular mucin was 0% for both high and low TTE.
Strong TTE was associated with survival on univariate analysis (p = 0.003). At 3 years, 88.4% of patients with strong TTE on the preoperative MRI were alive vs. 58.8% in patients with weak TTE (Fig. 4).
One hundred twelve patients (with 34 events) had complete data available for the multivariable analysis. TTE had an adjusted hazard ratio of 0.32 (95% CI: 0.14-0.75, p = 0.008). The adjusted hazard ratio of the clinical risk score was 2.41 (95% CI: 1.19-4.90) (Table 2).
Table 2
Cox regression model of surgical cohort for the association of target tumour enhancement (TTE) and overall survival (n = 112, for multivariate analysis)
 
Adjusted odds ratio (95% confidence interval)
p value
Target tumour enhancement
 Weak
Reference
p = 0.008**
 Strong
0.32 (0.14-0.75)
Clinical risk score
 < 3
Reference
p = 0.015*
 ≥ 3
2.41 (1.19-4.90)
Post-hoc sensitivity analyses were performed for time from MRI to surgery and tumour size ≥ 5 cm. None of these variables were found to be significant contributing variables on our sensitivity analysis. When time from MRI to surgery was included in the Cox regression model, TTE had an adjusted hazard ratio of 0.33 (95% CI: 0.14-0.75, p = 0.009). When tumour size was included in the Cox regression model, TTE had an adjusted hazard ratio of 0.33 (95% CI: 0.14 to 0.77, p = 0.010).
For reader 1, 62 patients (51.2%) had only 1 target lesion, 45 patients (37.2%) had 2 target lesions with homogeneous CNR (CNR < 11 for both lesions or CNR > 11 for both lesions), and 14 patients (11.6%) had 2 target lesions with heterogeneous CNR (1 lesion with CNR < 11 and 1 lesion with CNR > 11). When the 14 patients with heterogeneous target lesions were excluded, there was no significant difference in our results with TTE having an adjusted hazard ratio of 0.36 (95% CI: 0.15 to 0.90, p = 0.029).
For reader 2, 58 patients (47.9%) had only 1 target lesion, 45 patients (37.2%) had 2 target lesions with homogeneous CNR (CNR < 11 for both lesions or CNR > 11 for both lesions), and 18 patients (14.9%) had 2 target lesions with heterogeneous CNR (1 lesion with CNR < 11 and 1 lesion with CNR > 11). When the 18 patients with heterogeneous target lesions were excluded, there was no significant difference in our results with TTE having an adjusted hazard ratio of 0.29 (95% CI: 0.11 to 0.76, p = 0.012).
Inter-rater reliability was very good with a relative intraclass correlation of 0.84 (95% CI: 0.77-0.89).

Discussion

In this study, we demonstrated that late gadolinium enhancement of CRCLM post-chemotherapy on gadobutrol-enhanced MRI post-hepatectomy is associated with tumour fibrosis and with overall survival, after taking into account known clinical prognostic factors. The absolute difference in 3-year survival was 29.6% less in patients who had weak TTE than in those who had strong TTE on preoperative MRI, with an adjusted hazard ratio of 0.32.
TTE on preoperative MRI was positively correlated with tumour fibrosis and negatively correlated with tumour necrosis on post-hepatectomy specimens, which may be the physiological explanation for this MRI phenomenon. No prior studies have specifically correlated the late gadolinium enhancement in CRCLM with tumour fibrosis, although studies have looked at the correlation between noncontrast MRI signal characteristics of CRCLM and tumour fibrosis [11]. It is well established in the pathology literature that tumour fibrosis in CRCLM is one of the major pathological responses to chemotherapy and the predominant pathological response associated with treatment response and long-term outcomes [4, 5, 12]. Specifically, tumour fibrosis and not tumour necrosis post-chemotherapy is associated with good long-term prognosis [4]. Tumour necrosis is known to be poorly enhancing on contrast-enhanced MRI, which could be a confounding factor for measurement of TTE [13]. In addition, tumour necrosis would be inversely correlated with tumour fibrosis since these variables may demonstrate collinearity.
Patients with strong TTE were more likely to have smaller tumours (p = 0.019). If strong TTE represents “good” biology, then these tumours may be less aggressive and therefore tend to be smaller. However, tumour size was not a confounding variable in our post-hoc sensitivity analyses, which suggests that TTE may reflect “good” biology independent of tumour size.
RECIST is the most commonly used technique for evaluation of chemotherapy response [8]. However, it is a size-based technique that has been shown to correlate poorly with pathological response or long-term survival [14]. Several imaging criteria have been developed to address these limitations, including CT-based morphological criteria, which showed good association with pathological response and survival in the setting of CRCLM treated with bevacizumab-containing chemotherapy [15]. Some authors have assessed the role of imaging techniques in assessing tumour biology, such as DCE-MRI and PET, although these techniques are expensive and time-consuming and are less routinely performed in the clinical setting [1518].
Our study had several limitations, mostly related to its retrospective nature. There was variability in the timing of MRI in relationship to the administration of chemotherapy and the type of chemotherapy administered. Radiological-pathological correlation was limited by sampling error, which could decrease Spearman correlation particularly in tumours with significant heterogeneity, and not all lesions could be matched on a per-lesion basis, which could lead to selection bias. Additionally, tumour fibrosis can be seen in CRLM even in patients without chemotherapy [19]. These confounding factors may contribute to the relatively weak correlation between tumour fibrosis and TTE observed in our study.
Although 10-min delayed-phase imaging is part of our institution’s routine clinical liver MRI protocol, the addition of a 10-min delayed phase scan may impede workflow and be a limitation at institutions that only perform imaging to 3- or 5-min post-contrast. We performed TTE analysis at 10-min delayed phase based on the cardiac MRI literature, which has shown that fibrosis is best seen between 10 and 30 min [20, 21]. However, it is unclear whether this is also the case for tumour fibrosis within CRCLM and further studies should be performed to determine whether a 3-5-min delay is also sufficient.
Because MRIs were not obtained for the purpose of measuring CNR, several technical confounders including magnetic field strength, use of phased-array surface coils, and presence of diffuse liver disease may have affected our results [22, 23].
Our study, while important, demonstrates the need for additional prospective studies to confirm the results, for external validation, and to determine its potential clinical impact. Prospective studies are also required to determine the role of specific chemotherapy regimens analysing pre- and post-treatment MRI scans, to confirm correlation between MRI signal and fibrosis using registered, high-resolution, radiological-pathological techniques, to optimise selection of target lesions, and to optimise measurement of TTE through T1 signal mapping. In some patients with multiple CRCLMs, the enhancement pattern of different lesions can be heterogeneous. The presence of heterogeneous target lesions did not affect our results on our post-hoc sensitivity analysis, likely because of the relatively small proportion of patients with heterogeneous target lesions (approximately 12-15% of our patient cohort). However, further studies are required to determine the optimal method of measuring TTE in these patients. Although reliability between raters in our study was very good, development of standardised semi-automated techniques may further improve reliability.
As many patients are now staged using MRI with hepatobiliary-specific contrast agents, investigating the relationship between late-phase enhancement of CRCLM and tumour fibrosis and survival may also be valuable [24].
In conclusion, this article presents the first study to provide evidence that late gadolinium MRI enhancement of tumours post-chemotherapy is associated with tumour fibrosis and overall survival post-hepatectomy in patients with CRCLM. Target tumour enhancement on MRI may be a useful tool for risk-stratification. Further studies are required for external validation and to assess its potential clinical impact.

Compliance with ethical standards

Guarantor

The scientific guarantor of this publication is Dr. Laurent Milot.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

Dr. Pascal Tyrell (University of Toronto) kindly provided statistical advice for this manuscript.
Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• retrospective
• cross-sectional study
• performed at one institution
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Literatur
1.
Zurück zum Zitat Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A (2015) Global cancer statistics, 2012. CA Cancer J Clin 65:87–108CrossRefPubMed Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A (2015) Global cancer statistics, 2012. CA Cancer J Clin 65:87–108CrossRefPubMed
2.
Zurück zum Zitat Kanas GP, Taylor A, Primrose JN et al (2012) Survival after liver resection in metastatic colorectal cancer: review and meta-analysis of prognostic factors. Clin Epidemiol 4:283–301PubMedPubMedCentral Kanas GP, Taylor A, Primrose JN et al (2012) Survival after liver resection in metastatic colorectal cancer: review and meta-analysis of prognostic factors. Clin Epidemiol 4:283–301PubMedPubMedCentral
3.
Zurück zum Zitat Stangl R, Altendorf-Hofmann A, Charnley RM, Scheele J (1994) Factors influencing the natural history of colorectal liver metastases. Lancet 343:1405–1410CrossRefPubMed Stangl R, Altendorf-Hofmann A, Charnley RM, Scheele J (1994) Factors influencing the natural history of colorectal liver metastases. Lancet 343:1405–1410CrossRefPubMed
4.
Zurück zum Zitat Poultsides GA, Bao F, Servais EL et al (2012) Pathologic response to preoperative chemotherapy in colorectal liver metastases: fibrosis, not necrosis, predicts outcome. Ann Surg Oncol 19:2797–2804CrossRefPubMed Poultsides GA, Bao F, Servais EL et al (2012) Pathologic response to preoperative chemotherapy in colorectal liver metastases: fibrosis, not necrosis, predicts outcome. Ann Surg Oncol 19:2797–2804CrossRefPubMed
5.
Zurück zum Zitat Rubbia-Brandt L, Giostra E, Brezault C et al (2007) 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. Ann Oncol 18:299–304CrossRefPubMed Rubbia-Brandt L, Giostra E, Brezault C et al (2007) 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. Ann Oncol 18:299–304CrossRefPubMed
6.
Zurück zum Zitat Maetani Y, Itoh K, Watanabe C et al (2001) MR imaging of intrahepatic cholangiocarcinoma with pathologic correlation. AJR Am J Roentgenol 176:1499–1507CrossRefPubMed Maetani Y, Itoh K, Watanabe C et al (2001) MR imaging of intrahepatic cholangiocarcinoma with pathologic correlation. AJR Am J Roentgenol 176:1499–1507CrossRefPubMed
7.
Zurück zum Zitat Feroci F, Fong Y (2010) Use of clinical score to stage and predict outcome of hepatic resection of metastatic colorectal cancer. J Surg Oncol 102:914–921CrossRefPubMed Feroci F, Fong Y (2010) Use of clinical score to stage and predict outcome of hepatic resection of metastatic colorectal cancer. J Surg Oncol 102:914–921CrossRefPubMed
8.
Zurück zum Zitat Eisenhauer EA, Therasse P, Bogaerts J et al (2009) New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 45:228–247CrossRefPubMed Eisenhauer EA, Therasse P, Bogaerts J et al (2009) New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 45:228–247CrossRefPubMed
9.
Zurück zum Zitat Milot L, Haider M, Foster L, McGregor C, Law C (2012) Gadofosveset trisodium in the investigation of focal liver lesions in noncirrhotic liver: Early experience. J Magn Reson Imaging 36:738–742CrossRefPubMed Milot L, Haider M, Foster L, McGregor C, Law C (2012) Gadofosveset trisodium in the investigation of focal liver lesions in noncirrhotic liver: Early experience. J Magn Reson Imaging 36:738–742CrossRefPubMed
11.
Zurück zum Zitat Milot L, Guindi M, Gallinger S et al (2010) MR imaging correlates of intratumoral tissue types within colorectal liver metastases: a high-spatial-resolution fresh ex vivo radiologic-pathologic correlation study. Radiology 254:747–754CrossRefPubMed Milot L, Guindi M, Gallinger S et al (2010) MR imaging correlates of intratumoral tissue types within colorectal liver metastases: a high-spatial-resolution fresh ex vivo radiologic-pathologic correlation study. Radiology 254:747–754CrossRefPubMed
12.
Zurück zum Zitat Blazer DG 3rd, Kishi Y, Maru DM et al (2008) Pathologic response to preoperative chemotherapy: a new outcome end point after resection of hepatic colorectal metastases. J Clin Oncol 26:5344–5351CrossRefPubMed Blazer DG 3rd, Kishi Y, Maru DM et al (2008) Pathologic response to preoperative chemotherapy: a new outcome end point after resection of hepatic colorectal metastases. J Clin Oncol 26:5344–5351CrossRefPubMed
13.
Zurück zum Zitat Mannelli L, Kim S, Hajdu CH, Babb JS, Clark TW, Taouli B (2009) Assessment of tumor necrosis of hepatocellular carcinoma after chemoembolization: diffusion-weighted and contrast-enhanced MRI with histopathologic correlation of the explanted liver. AJR Am J Roentgenol 193:1044–1052CrossRefPubMed Mannelli L, Kim S, Hajdu CH, Babb JS, Clark TW, Taouli B (2009) Assessment of tumor necrosis of hepatocellular carcinoma after chemoembolization: diffusion-weighted and contrast-enhanced MRI with histopathologic correlation of the explanted liver. AJR Am J Roentgenol 193:1044–1052CrossRefPubMed
14.
Zurück zum Zitat Egger ME, Cannon RM, Metzger TL et al (2013) Assessment of chemotherapy response in colorectal liver metastases in patients undergoing hepatic resection and the correlation to pathologic residual viable tumor. J Am Coll Surg 216:845–856 discussion 56-7CrossRefPubMed Egger ME, Cannon RM, Metzger TL et al (2013) Assessment of chemotherapy response in colorectal liver metastases in patients undergoing hepatic resection and the correlation to pathologic residual viable tumor. J Am Coll Surg 216:845–856 discussion 56-7CrossRefPubMed
15.
Zurück zum Zitat Chun YS, Vauthey JN, Boonsirikamchai P et al (2009) Association of computed tomography morphologic criteria with pathologic response and survival in patients treated with bevacizumab for colorectal liver metastases. Jama 302:2338–2344CrossRefPubMedPubMedCentral Chun YS, Vauthey JN, Boonsirikamchai P et al (2009) Association of computed tomography morphologic criteria with pathologic response and survival in patients treated with bevacizumab for colorectal liver metastases. Jama 302:2338–2344CrossRefPubMedPubMedCentral
16.
Zurück zum Zitat Lastoria S, Piccirillo MC, Caraco C et al (2013) Early PET/CT scan is more effective than RECIST in predicting outcome of patients with liver metastases from colorectal cancer treated with preoperative chemotherapy plus bevacizumab. J Nucl Med 54:2062–2069CrossRefPubMed Lastoria S, Piccirillo MC, Caraco C et al (2013) Early PET/CT scan is more effective than RECIST in predicting outcome of patients with liver metastases from colorectal cancer treated with preoperative chemotherapy plus bevacizumab. J Nucl Med 54:2062–2069CrossRefPubMed
17.
Zurück zum Zitat De Bruyne S, Van Damme N, Smeets P et al (2012) Value of DCE-MRI and FDG-PET/CT in the prediction of response to preoperative chemotherapy with bevacizumab for colorectal liver metastases. Br J Cancer 106:1926–1933CrossRefPubMedPubMedCentral De Bruyne S, Van Damme N, Smeets P et al (2012) Value of DCE-MRI and FDG-PET/CT in the prediction of response to preoperative chemotherapy with bevacizumab for colorectal liver metastases. Br J Cancer 106:1926–1933CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Brush J, Boyd K, Chappell F et al (2011) The value of FDG positron emission tomography/computerised tomography (PET/CT) in pre-operative staging of colorectal cancer: a systematic review and economic evaluation. Health Technol Assess 15(1-192):iii–iiv Brush J, Boyd K, Chappell F et al (2011) The value of FDG positron emission tomography/computerised tomography (PET/CT) in pre-operative staging of colorectal cancer: a systematic review and economic evaluation. Health Technol Assess 15(1-192):iii–iiv
19.
Zurück zum Zitat Reddy SK, Parker RJ, Leach JW, Hill MJ, Burgart LJ (2016) Tumor histopathology predicts outcomes after resection of colorectal cancer liver metastases treated with and without pre-operative chemotherapy. J Surg Oncol 113:456–462CrossRefPubMed Reddy SK, Parker RJ, Leach JW, Hill MJ, Burgart LJ (2016) Tumor histopathology predicts outcomes after resection of colorectal cancer liver metastases treated with and without pre-operative chemotherapy. J Surg Oncol 113:456–462CrossRefPubMed
20.
Zurück zum Zitat Oshinski JN, Yang Z, Jones JR, Mata JF, French BA (2001) Imaging time after Gd-DTPA injection is critical in using delayed enhancement to determine infarct size accurately with magnetic resonance imaging. Circulation 104:2838–2842CrossRefPubMed Oshinski JN, Yang Z, Jones JR, Mata JF, French BA (2001) Imaging time after Gd-DTPA injection is critical in using delayed enhancement to determine infarct size accurately with magnetic resonance imaging. Circulation 104:2838–2842CrossRefPubMed
21.
Zurück zum Zitat Vogel-Claussen J, Rochitte CE, Wu KC et al (2006) Delayed enhancement MR imaging: utility in myocardial assessment. Radiographics 26:795–810CrossRefPubMed Vogel-Claussen J, Rochitte CE, Wu KC et al (2006) Delayed enhancement MR imaging: utility in myocardial assessment. Radiographics 26:795–810CrossRefPubMed
22.
Zurück zum Zitat Shen Y, Goerner FL, Snyder C et al (2015) T1 relaxivities of gadolinium-based magnetic resonance contrast agents in human whole blood at 1.5, 3, and 7 T. Invest Radiol 50:330–338CrossRefPubMed Shen Y, Goerner FL, Snyder C et al (2015) T1 relaxivities of gadolinium-based magnetic resonance contrast agents in human whole blood at 1.5, 3, and 7 T. Invest Radiol 50:330–338CrossRefPubMed
23.
Zurück zum Zitat Xu L, Gu S, Feng Q, Liang C, Xin SX (2015) Quantitative study of liver magnetic resonance spectroscopy quality at 3T using body and phased array coils with physical analysis and clinical evaluation. PLoS One 10:e0122999CrossRefPubMedPubMedCentral Xu L, Gu S, Feng Q, Liang C, Xin SX (2015) Quantitative study of liver magnetic resonance spectroscopy quality at 3T using body and phased array coils with physical analysis and clinical evaluation. PLoS One 10:e0122999CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Seale MK, Catalano OA, Saini S, Hahn PF, Sahani DV (2009) Hepatobiliary-specific MR contrast agents: role in imaging the liver and biliary tree. Radiographics 29:1725–1748CrossRefPubMed Seale MK, Catalano OA, Saini S, Hahn PF, Sahani DV (2009) Hepatobiliary-specific MR contrast agents: role in imaging the liver and biliary tree. Radiographics 29:1725–1748CrossRefPubMed
Metadaten
Titel
Late gadolinium enhancement of colorectal liver metastases post-chemotherapy is associated with tumour fibrosis and overall survival post-hepatectomy
verfasst von
Helen M. C. Cheung
Paul J. Karanicolas
Eugene Hsieh
Natalie Coburn
Tishan Maraj
Jin K. Kim
Howaida Elhakim
Masoom A. Haider
Calvin Law
Laurent Milot
Publikationsdatum
23.02.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 8/2018
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-018-5331-4

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