New Approaches: Combined Local and Multimodal Strategies in the Treatment of Complex Neuroendocrine Liver Metastases

2014 ◽  
pp. 405-420
Author(s):  
Alexander Petrovitch ◽  
Merten Hommann ◽  
Dieter Hörsch ◽  
Patricia Grau ◽  
Sándor Kónya ◽  
...  
Keyword(s):  
Liver Metastases ◽  
New Approaches ◽  
Neuroendocrine Liver Metastases

scholarly journals Automatized Hepatic Tumor Volume Analysis of Neuroendocrine Liver Metastases by Gd-EOB MRI—A Deep-Learning Model to Support Multidisciplinary Cancer Conference Decision-Making

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2726
Author(s):  
Uli Fehrenbach ◽  
Siyi Xin ◽  
Alexander Hartenstein ◽  
Timo Alexander Auer ◽  
Franziska Dräger ◽  
...  
Keyword(s):  
Liver Metastases ◽  
External Validation ◽  
High Accuracy ◽  
Hepatic Tumor ◽  
Liver Malignancies ◽  
Internal Validation ◽  
Matthew’S Correlation Coefficient ◽  
Therapy Success ◽  
Neuroendocrine Liver Metastases

Background: Rapid quantification of liver metastasis for diagnosis and follow-up is an unmet medical need in patients with secondary liver malignancies. We present a 3D-quantification model of neuroendocrine liver metastases (NELM) using gadoxetic-acid (Gd-EOB)-enhanced MRI as a useful tool for multidisciplinary cancer conferences (MCC). Methods: Manual 3D-segmentations of NELM and livers (149 patients in 278 Gd-EOB MRI scans) were used to train a neural network (U-Net architecture). Clinical usefulness was evaluated in another 33 patients who were discussed in our MCC and received a Gd-EOB MRI both at baseline and follow-up examination (n = 66) over 12 months. Model measurements (NELM volume; hepatic tumor load (HTL)) with corresponding absolute (ΔabsNELM; ΔabsHTL) and relative changes (ΔrelNELM; ΔrelHTL) between baseline and follow-up were compared to MCC decisions (therapy success/failure). Results: Internal validation of the model’s accuracy showed a high overlap for NELM and livers (Matthew’s correlation coefficient (φ): 0.76/0.95, respectively) with higher φ in larger NELM volume (φ = 0.80 vs. 0.71; p = 0.003). External validation confirmed the high accuracy for NELM (φ = 0.86) and livers (φ = 0.96). MCC decisions were significantly differentiated by all response variables (ΔabsNELM; ΔabsHTL; ΔrelNELM; ΔrelHTL) (p < 0.001). ΔrelNELM and ΔrelHTL showed optimal discrimination between therapy success or failure (AUC: 1.000; p < 0.001). Conclusion: The model shows high accuracy in 3D-quantification of NELM and HTL in Gd-EOB-MRI. The model’s measurements correlated well with MCC’s evaluation of therapeutic response.

scholarly journals Erratum to: Chemoembolization of Neuroendocrine Liver Metastases Using Streptozocin and Tris-acryl Microspheres: Embozar (EMBOsphere + ZAnosaR) Study

2017 ◽  
Vol 40 (3) ◽  
pp. 480-480 ◽  
Author(s):  
Jean-Pierre Pelage ◽  
Audrey Fohlen ◽  
Emmanuel Mitry ◽  
Christine Lagrange ◽  
Alain Beauchet ◽  
...  
Keyword(s):  
Liver Metastases ◽  
Neuroendocrine Liver Metastases

scholarly journals Hepatic Resection for Neuroendocrine Liver Metastases: Contemporary Indications and Outcomes from a Population-Based Cohort

HPB ◽  
2021 ◽  
Vol 23 ◽  
pp. S113
Author(s):  
S. Scoville ◽  
D. Xourafas ◽  
A. Ejaz ◽  
M. Dillhoff ◽  
A. Tsung ◽  
...  
Keyword(s):  
Liver Metastases ◽  
Hepatic Resection ◽  
Population Based ◽  
Neuroendocrine Liver Metastases

Cryotherapy for neuroendocrine liver metastases

1998 ◽  
Vol 14 (2) ◽  
pp. 175-183 ◽  
Author(s):  
Joachim K. Seifert ◽  
Paul J. Cozzi ◽  
David L. Morris
Keyword(s):  
Liver Metastases ◽  
Neuroendocrine Liver Metastases

Neuroendocrine Liver Metastases

2021 ◽  
pp. 267-281
Author(s):  
Ashley Kieran Clift ◽  
Andrea Frilling
Keyword(s):  
Liver Metastases ◽  
Neuroendocrine Liver Metastases

scholarly journals Diagnosis and Prediction of Neuroendocrine Liver Metastases: A Protocol of Six Systematic Reviews

2013 ◽  
Vol 2 (2) ◽  
pp. e60
Author(s):  
Stephan Arigoni ◽  
Stefan Ignjatovic ◽  
Patrizia Sager ◽  
Jonas Betschart ◽  
Tobias Buerge ◽  
...  
Keyword(s):  
Liver Metastases ◽  
Systematic Reviews ◽  
Neuroendocrine Liver Metastases

scholarly journals The lack of selection criteria for surgery in patients with non-colorectal non-neuroendocrine liver metastases

2020 ◽  
Author(s):  
Ali Bohlok ◽  
Valerio Lucidi ◽  
Fikri Bouazza ◽  
Ali Daher ◽  
Desislava Germanova ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Liver Metastases ◽  
Selection Criteria ◽  
Disease Free Survival ◽  
Population Level ◽  
Survival Group ◽  
Term Survival ◽  
Clinicopathologic Parameters ◽  
Therapeutic Decision Making ◽  
Neuroendocrine Liver Metastases

Abstract Background: The benefit of surgery in patients with non-colorectal non-neuroendocrine liver metastases (NCRNNELM) remains controversial. At the population level, several statistical prognostic factors and scores have been proposed but inconsistently verified. At the patient level, no selection criteria have been demonstrated to guide individual therapeutic decision making. We aimed to evaluate potential individual selection criteria to predict the benefit of surgery in patients undergoing treatment for NCRNNELM.Methods: Data for 114 patients undergoing surgery for NCRNNELM were reviewed. In this population, we identified an early relapse group (ER), defined as patients with unresectable recurrence <1 year postoperatively who did not benefit from surgery (N=28), and a long-term survival group (LTS), defined as patients who were recurrence-free ≥5-years postoperatively and benefited from surgery (N=20). Clinicopathologic parameters, the Association Française de Chirurgie (AFC) score, and a modified 4-point Clinical Risk Score (mCRS) (excluding CEA level) were analyzed and compared between LTS and ER groups.Results: The majority of patients were female and a majority had an ASA score ≤2 at the time of liver surgery. Median age was 55 years. Almost half of the patients (46%) presented with a single liver metastasis. Intermediate- and low-risk AFC scores represented 40% and 60% of the population, respectively. Five- and ten-year overall survival (OS) and disease-free survival (DFS) rates were 56% and 27%, and 30% and 12%, respectively. Negative prognostic factors were size of liver metastases >50 mm and delay between primary and NCRNNELM <24 months for OS and DFS, respectively. AFC score was not prognostic while high-risk mCRS (score 3-4) was predictive for poorer OS. The clinicopathologic parameters were similar in the ER and LTS groups, except the presence of N+ primary tumor and the size of liver metastases were significantly higher in the ER group. Conclusion: In patients with resectable NCRNNELM, no predictive factors or scores were found to accurately preoperatively differentiate individual cases in whom surgery would be futile from those in whom surgery could be associated with a significant oncological benefit.

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