scholarly journals Histopathological Growth Pattern, Proteolysis and Angiogenesis in Chemonaive Patients Resected for Multiple Colorectal Liver Metastases

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
Rikke Løvendahl Eefsen ◽  
Gert G. Van den Eynden ◽  
Gunilla Høyer-Hansen ◽  
Pnina Brodt ◽  
Ole Didrik Laerum ◽  
...  
Keyword(s):  
Liver Metastases ◽  
Growth Pattern ◽  
Colorectal Liver Metastases ◽  
Growth Patterns ◽  
Type Plasminogen Activator ◽  
Second Growth ◽  
Urokinase Type Plasminogen Activator ◽  
Pattern Distribution ◽  
A Minor ◽  
Multiple Liver Metastases

The purpose of this study was to characterise growth patterns, proteolysis, and angiogenesis in colorectal liver metastases from chemonaive patients with multiple liver metastases. Twenty-four patients were included in the study, resected for a median of 2.6 metastases. The growth pattern distribution was 25.8% desmoplastic, 33.9% pushing, and 21% replacement. In 20 patients, identical growth patterns were detected in all metastases, but in 8 of these patients, a second growth pattern was also present in one or two of the metastases. In the remaining 4 patients, no general growth pattern was observed, although none of the liver metastases included more than two growth patterns. Overall, a mixed growth pattern was demonstrated in 19.3% of the liver metastases. Compared to metastases with pushing, those with desmoplastic growth pattern had a significantly up-regulated expression of urokinase-type plasminogen activator receptor (P=0.0008). Angiogenesis was most pronounced in metastases with a pushing growth pattern in comparison to those with desmoplastic (P=0.0007) and replacement growth pattern (P=0.021). Although a minor fraction of the patients harboured metastases with different growth patterns, we observed a tendency toward growth pattern uniformity in the liver metastases arising in the same patient. The result suggests that the growth pattern of liver metastases is not a random phenomenon.

Altered growth patterns of colorectal liver metastases after thermal ablation

Surgery ◽  
2006 ◽  
Vol 139 (1) ◽  
pp. 73-81 ◽  
Author(s):  
Mehrdad Nikfarjam ◽  
Vigayaragavan Muralidharan ◽  
Christopher Christophi
Keyword(s):  
Liver Metastases ◽  
Thermal Ablation ◽  
Colorectal Liver Metastases ◽  
Growth Patterns

scholarly journals Histopathological growth patterns as biomarker for adjuvant systemic chemotherapy in patients with resected colorectal liver metastases

2020 ◽  
Vol 37 (5) ◽  
pp. 593-605
Author(s):  
Florian E. Buisman ◽  
Eric P. van der Stok ◽  
Boris Galjart ◽  
Peter B. Vermeulen ◽  
Vinod P. Balachandran ◽  
...  
Keyword(s):  
New York ◽  
Liver Metastases ◽  
Preoperative Chemotherapy ◽  
Colorectal Liver Metastases ◽  
Systemic Chemotherapy ◽  
Disease Free Survival ◽  
Growth Patterns ◽  
Cancer Center ◽  
Pretreated Patients ◽  
Histopathological Growth Patterns

Abstract Adjuvant systemic chemotherapy (CTx) is widely administered in patients with colorectal liver metastases (CRLM). Histopathological growth patterns (HGPs) are an independent prognostic factor for survival after complete resection. This study evaluates whether HGPs can predict the effectiveness of adjuvant CTx in patients with resected CRLM. Two main types of HGPs can be distinguished; the desmoplastic type and the non-desmoplastic type. Uni- and multivariable analyses for overall survival (OS) and disease-free survival (DFS) were performed, in both patients treated with and without preoperative chemotherapy. A total of 1236 patients from two tertiary centers (Memorial Sloan Kettering Cancer Center, New York, USA; Erasmus MC Cancer Institute, Rotterdam, The Netherlands) were included (period 2000–2016). A total of 656 patients (53.1%) patients received preoperative chemotherapy. Adjuvant CTx was only associated with a superior OS in non-desmoplastic patients that had not been pretreated (adjusted hazard ratio (HR) 0.52, 95% confidence interval (CI) 0.37–0.73, p < 0.001), and not in desmoplastic patients (adjusted HR 1.78, 95% CI 0.75–4.21, p = 0.19). In pretreated patients no significant effect of adjuvant CTx was observed, neither in the desmoplastic group (adjusted HR 0.83, 95% CI 0.49–1.42, p = 0.50) nor in the non-desmoplastic group (adjusted HR 0.96, 95% CI 0.71–1.29, p = 0.79). Similar results were found for DFS, with a superior DFS in non-desmoplastic patients treated with adjuvant CTx (HR 0.71, 95% CI 0.55–0.93, p < 0.001) that were not pretreated. Adjuvant CTx seems to improve OS and DFS after resection of non-desmoplastic CRLM. However, this effect was only observed in patients that were not treated with chemotherapy.

scholarly journals The relationship between circulating tumour cells and the histopathological growth pattern of resectable colorectal liver metastases

HPB ◽  
2018 ◽  
Vol 20 ◽  
pp. S354-S355
Author(s):  
D.J. Höppener ◽  
P.M.H. Nierop ◽  
P.B. Vermeulen ◽  
D.J. Grünhagen ◽  
C. Verhoef
Keyword(s):  
Liver Metastases ◽  
Growth Pattern ◽  
Colorectal Liver Metastases ◽  
Tumour Cells ◽  
Circulating Tumour Cells ◽  
The Relationship

scholarly journals Distinguishing pure histopathological growth patterns of colorectal liver metastases on CT using deep learning and radiomics: a pilot study

2021 ◽  
Vol 38 (5) ◽  
pp. 483-494
Author(s):  
Martijn P. A. Starmans ◽  
Florian E. Buisman ◽  
Michel Renckens ◽  
François E. J. A. Willemssen ◽  
Sebastian R. van der Voort ◽  
...  
Keyword(s):  
Liver Metastases ◽  
Colorectal Liver Metastases ◽  
Cross Validation ◽  
Area Under The Curve ◽  
Growth Patterns ◽  
Learning Approaches ◽  
Intra Class Correlation ◽  
Preoperative Prediction ◽  
Intra Class Correlation Coefficient ◽  
Histopathological Growth Patterns

AbstractHistopathological growth patterns (HGPs) are independent prognosticators for colorectal liver metastases (CRLM). Currently, HGPs are determined postoperatively. In this study, we evaluated radiomics for preoperative prediction of HGPs on computed tomography (CT), and its robustness to segmentation and acquisition variations. Patients with pure HGPs [i.e. 100% desmoplastic (dHGP) or 100% replacement (rHGP)] and a CT-scan who were surgically treated at the Erasmus MC between 2003–2015 were included retrospectively. Each lesion was segmented by three clinicians and a convolutional neural network (CNN). A prediction model was created using 564 radiomics features and a combination of machine learning approaches by training on the clinician’s and testing on the unseen CNN segmentations. The intra-class correlation coefficient (ICC) was used to select features robust to segmentation variations; ComBat was used to harmonize for acquisition variations. Evaluation was performed through a 100 × random-split cross-validation. The study included 93 CRLM in 76 patients (48% dHGP; 52% rHGP). Despite substantial differences between the segmentations of the three clinicians and the CNN, the radiomics model had a mean area under the curve of 0.69. ICC-based feature selection or ComBat yielded no improvement. Concluding, the combination of a CNN for segmentation and radiomics for classification has potential for automatically distinguishing dHGPs from rHGP, and is robust to segmentation and acquisition variations. Pending further optimization, including extension to mixed HGPs, our model may serve as a preoperative addition to postoperative HGP assessment, enabling further exploitation of HGPs as a biomarker.

scholarly journals Histopathological Growth Pattern of Colorectal Liver Metastases Impacts Local Recurrence Risk and the Adequate Width of Surgical Margin

HPB ◽  
2021 ◽  
Vol 23 ◽  
pp. S709-S710
Author(s):  
B. Branciforte ◽  
L. Viganò ◽  
V. Laurenti ◽  
G. Costa ◽  
F. Procopio ◽  
...  
Keyword(s):  
Local Recurrence ◽  
Liver Metastases ◽  
Growth Pattern ◽  
Colorectal Liver Metastases ◽  
Surgical Margin ◽  
Recurrence Risk

scholarly journals Comparison of the clinicopathological characteristics and their impact on outcomes of resected colorectal liver metastases across time

2020 ◽  
Author(s):  
Lionel Chen ◽  
Nicholas L. Syn ◽  
Brian K. P. Goh ◽  
Peng Chung Cheow ◽  
Prema Raj ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Liver Metastases ◽  
Colorectal Liver Metastases ◽  
Independent Predictor ◽  
Clinicopathological Characteristics ◽  
Nodal Metastases ◽  
Primary Colorectal Cancer ◽  
Poor Survival ◽  
Time Periods ◽  
Multiple Liver Metastases

Abstract Background Resection of colorectal liver metastases (CLM) has been established as the standard of care. This study aims to compare the change in clinicopathological characteristics of patients who underwent curative resection of CLM across two time periods – 2000 to 2010 (P1) and 2011 to 2016 (P2) and evaluate the prognostic impact of these characteristics on survival outcomes. Methods Patients who undergo liver resection for CLM at Singapore General Hospital from January 2000 to December 2016 were identified from a prospectively maintained database. The primary end point was overall survival. Results There were 183/318 (57.5%) patients and 135/318 (42.5%) patients in P1 and P2 respectively. There was a lower proportion of patients who had nodal metastases from primary colorectal cancer and clinical risk score (CRS) less than 3 in P2 when compared to P1. There was no difference in survival between both time periods. Independent predictors of survival for the cohort were CEA levels ≥200ng/ml, primary tumour grade and lymph nodal status. Independent predictors of poor survival in P1 were poorly differentiated colorectal cancer and nodal metastases while in P2, independent predictors of poor survival were multiple liver metastases and nodal metastases.Conclusion Nodal metastases from primary colorectal cancer is an independent predictor of poor survival across time for resectable CLM. Although there is no difference in survival between the two time periods, patients with multiple liver metastases should be carefully considered prior to surgery as it is also an independent predictor of overall survival.

scholarly journals Comparison of the clinicopathological characteristics and their impact on outcomes of resected colorectal liver metastases across time

2020 ◽  
Author(s):  
Lionel Chen ◽  
Nicholas L. Syn ◽  
Brian K. P. Goh ◽  
Peng Chung Cheow ◽  
Prema Raj ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Liver Metastases ◽  
Colorectal Liver Metastases ◽  
Independent Predictor ◽  
Clinicopathological Characteristics ◽  
Nodal Metastases ◽  
Primary Colorectal Cancer ◽  
Poor Survival ◽  
Time Periods ◽  
Multiple Liver Metastases

Abstract Background Resection of colorectal liver metastases (CLM) has been established as the standard of care. This study aims to compare the change in clinicopathological characteristics of patients who underwent curative resection of CLM across two time periods – 2000 to 2010 (P1) and 2011 to 2016 (P2) and evaluate the prognostic impact of these characteristics on survival outcomes. Methods Patients who undergo liver resection for CLM at Singapore General Hospital from January 2000 to December 2016 were identified from a prospectively maintained database. The primary end point was overall survival. Results There were 183/318 (57.5%) patients and 135/318 (42.5%) patients in P1 and P2 respectively. There was a lower proportion of patients who had nodal metastases from primary colorectal cancer and clinical risk score (CRS) less than 3 in P2 when compared to P1. There was no difference in survival between both time periods. Independent predictors of survival for the cohort were CEA levels ≥200ng/ml, primary tumour grade and lymph nodal status. Independent predictors of poor survival in P1 were poorly differentiated colorectal cancer and nodal metastases while in P2, independent predictors of poor survival were multiple liver metastases and nodal metastases.Conclusion Nodal metastases from primary colorectal cancer is an independent predictor of poor survival across time for resectable CLM. Although there is no difference in survival between the two time periods, patients with multiple liver metastases should be carefully considered prior to surgery as it is also an independent predictor of overall survival.

Prediction of Histopathologic Growth Patterns of Colorectal Liver Metastases with a Noninvasive Imaging Method

2019 ◽  
Vol 26 (13) ◽  
pp. 4587-4598 ◽  
Author(s):  
Jin Cheng ◽  
Jingwei Wei ◽  
Tong Tong ◽  
Weiqi Sheng ◽  
Yinli Zhang ◽  
...  
Keyword(s):  
Liver Metastases ◽  
Colorectal Liver Metastases ◽  
Noninvasive Imaging ◽  
Growth Patterns ◽  
Imaging Method
Sign in / Sign up

Export Citation Format

Share Document