Semi-quantitative visual assessment of hepatic tumor burden can reliably predict survival in neuroendocrine liver metastases treated with transarterial chemoembolization

2019 ◽  
Vol 29 (11) ◽  
pp. 5804-5812 ◽  
Author(s):  
Yan Luo ◽  
Sanaz Ameli ◽  
Ankur Pandey ◽  
Pegah Khoshpouri ◽  
Mounes Aliyari Ghasabeh ◽  
...  
Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2726
Author(s):  
Uli Fehrenbach ◽  
Siyi Xin ◽  
Alexander Hartenstein ◽  
Timo Alexander Auer ◽  
Franziska Dräger ◽  
...  

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.


2019 ◽  
Vol 29 (10) ◽  
pp. 5160-5171 ◽  
Author(s):  
Yan Luo ◽  
Ankur Pandey ◽  
Mounes Aliyari Ghasabeh ◽  
Pallavi Pandey ◽  
Farnaz Najmi Varzaneh ◽  
...  

2020 ◽  
Vol 230 (4) ◽  
pp. 363-370 ◽  
Author(s):  
Michael E. Egger ◽  
Emily Armstrong ◽  
Robert CG. Martin ◽  
Charles R. Scoggins ◽  
Prejesh Philips ◽  
...  

2021 ◽  
Author(s):  
Xiaofen Li ◽  
Linjuan Li ◽  
Jin Pu ◽  
Jiaojiao Suo ◽  
Xuefeng Luo ◽  
...  

Abstract Aim Transarterial embolization (TAE) or transarterial chemoembolization (TACE) is an important treatment approach for unresectable liver metastatic gastroenteropancreatic neuroendocrine tumors (GEP-NETs). The prediction tool for therapeutic evaluation is still unclear. This study was performed to assess the prediction role of baseline digital substraction angiography (DSA) in synchronous liver metastatic GEP-NETs treated with TAE/ TACE. Methods Twenty-two patients with synchronous unresectable liver metastatic GEP-NETs (G1/2) and treated with TAE/ TACE were retrospectively enrolled. Clinical characteristics, baseline DSA and computed tomography (CT) information were collected. Results Totally, the overall response rate of TAE/ TACE on liver metastasis was 45.5%. The average baseline CT ratio (the density of the target lesion / the density of abdominal aorta during arterial phase) between responsive group and nonresponsive group were not statistically different (0.30±0.06 versus 0.36±0.11, P=0.149). Whereas, the average baseline DSA ratio (the density of target lesion / the density of liver background on DSA imaging before TAE/ TACE) of responsive group was significantly lower compared with that of nonresponsive group (0.57±0.13 versus 0.70±0.15, P=0.037). Patients with a DSA ratio ≤0.64 were more responsive to TAE/ TACE than those with a DSA ratio ༞0.64 (58.3% versus 30%). Univariate and multivariate analysis indicated that patients with lower hepatic tumor burden had longer PFS. Conclusions Baseline DSA ratio is a simple and potentially useful method to predict therapeutic effect of TAE/ TACE in liver metastases from GEP-NETs. And patients with lower hepatic tumor burden might indicate better prognosis. Prospective large-scale study is warranted.


2014 ◽  
Author(s):  
Sanja Ognjanovic ◽  
Milan Petakov ◽  
Valentina Elezovic ◽  
Tatjana Isailovic ◽  
Djuro Macut ◽  
...  

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