scholarly journals Supervised Machine-Learning Enables Segmentation and Evaluation of Heterogeneous Post-treatment Changes in Multi-Parametric MRI of Soft-Tissue Sarcoma

2019 ◽  
Vol 9 ◽  
Author(s):  
Matthew D. Blackledge ◽  
Jessica M. Winfield ◽  
Aisha Miah ◽  
Dirk Strauss ◽  
Khin Thway ◽  
...  
2020 ◽  
Vol 24 (06) ◽  
pp. e1-e1
Author(s):  
Iris-M Noebauer-Huhmann ◽  
Snehansh R. Chaudhary ◽  
Olympia Papakonstantinou ◽  
Joannis Panotopoulos ◽  
Marc-André Weber ◽  
...  

2020 ◽  
Vol 215 (4) ◽  
pp. 963-969
Author(s):  
Wenjian Xu ◽  
Dapeng Hao ◽  
Feng Hou ◽  
Dejing Zhang ◽  
Hexiang Wang

2018 ◽  
Vol 45 (5) ◽  
pp. E7 ◽  
Author(s):  
Nikhil Paliwal ◽  
Prakhar Jaiswal ◽  
Vincent M. Tutino ◽  
Hussain Shallwani ◽  
Jason M. Davies ◽  
...  

OBJECTIVEFlow diverters (FDs) are designed to occlude intracranial aneurysms (IAs) while preserving flow to essential arteries. Incomplete occlusion exposes patients to risks of thromboembolic complications and rupture. A priori assessment of FD treatment outcome could enable treatment optimization leading to better outcomes. To that end, the authors applied image-based computational analysis to clinically FD-treated aneurysms to extract information regarding morphology, pre- and post-treatment hemodynamics, and FD-device characteristics and then used these parameters to train machine learning algorithms to predict 6-month clinical outcomes after FD treatment.METHODSData were retrospectively collected for 84 FD-treated sidewall aneurysms in 80 patients. Based on 6-month angiographic outcomes, IAs were classified as occluded (n = 63) or residual (incomplete occlusion, n = 21). For each case, the authors modeled FD deployment using a fast virtual stenting algorithm and hemodynamics using image-based computational fluid dynamics. Sixteen morphological, hemodynamic, and FD-based parameters were calculated for each aneurysm. Aneurysms were randomly assigned to a training or testing cohort in approximately a 3:1 ratio. The Student t-test and Mann-Whitney U-test were performed on data from the training cohort to identify significant parameters distinguishing the occluded from residual groups. Predictive models were trained using 4 types of supervised machine learning algorithms: logistic regression (LR), support vector machine (SVM; linear and Gaussian kernels), K-nearest neighbor, and neural network (NN). In the testing cohort, the authors compared outcome prediction by each model trained using all parameters versus only the significant parameters.RESULTSThe training cohort (n = 64) consisted of 48 occluded and 16 residual aneurysms and the testing cohort (n = 20) consisted of 15 occluded and 5 residual aneurysms. Significance tests yielded 2 morphological (ostium ratio and neck ratio) and 3 hemodynamic (pre-treatment inflow rate, post-treatment inflow rate, and post-treatment aneurysm averaged velocity) discriminants between the occluded (good-outcome) and the residual (bad-outcome) group. In both training and testing, all the models trained using all 16 parameters performed better than all the models trained using only the 5 significant parameters. Among the all-parameter models, NN (AUC = 0.967) performed the best during training, followed by LR and linear SVM (AUC = 0.941 and 0.914, respectively). During testing, NN and Gaussian-SVM models had the highest accuracy (90%) in predicting occlusion outcome.CONCLUSIONSNN and Gaussian-SVM models incorporating all 16 morphological, hemodynamic, and FD-related parameters predicted 6-month occlusion outcome of FD treatment with 90% accuracy. More robust models using the computational workflow and machine learning could be trained on larger patient databases toward clinical use in patient-specific treatment planning and optimization.


2018 ◽  
Vol 194 (9) ◽  
pp. 824-834 ◽  
Author(s):  
Jan C. Peeken ◽  
Tatyana Goldberg ◽  
Christoph Knie ◽  
Basil Komboz ◽  
Michael Bernhofer ◽  
...  

Author(s):  
Sam Sedaghat ◽  
Frederick Schmitz ◽  
Anne Krieger ◽  
Maya Sedaghat ◽  
Benjamin Reichardt

2014 ◽  
Vol 32 (10) ◽  
pp. 1252-1263 ◽  
Author(s):  
Fred Nicholls ◽  
Adeline H. Ng ◽  
Sally Hu ◽  
Katarina Janic ◽  
Cara Fallis ◽  
...  

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 11544-11544
Author(s):  
Sylvie Bonvalot ◽  
Piotr Rutkowski ◽  
Juliette Thariat ◽  
Sebastien Carrère ◽  
Anne Ducassou ◽  
...  

11544 Background: NBTXR3, a novel radioenhancer activated by radiotherapy (RT) demonstrated superior efficacy, as preoperative treatment, in patients with locally advanced soft tissue sarcoma (LA STS), compared to RT alone. Primary endpoint of pCR rate was 16% vs 8% (p=0.044) and R0 margin rate was 77% vs 64% (p=0.042) (Bonvalot et al. Lancet Oncol. 2019). No modification of the early safety profile of RT was observed, leading to market authorization. Here we report on the long-term safety, limb function and quality of life. Methods: This phase II/III randomized (1:1), international trial included adult patients with LA STS of the extremity or trunk wall, requiring preoperative RT (NCT02379845). Patients were treated with either a single intratumoral injection of NBTXR3 (volume equivalent to 10% of tumor volume, at 53.3g/L) plus EBRT (arm A), or EBRT alone (arm B) (50 Gy in 25 fractions), followed by surgery. The primary and main secondary efficacy endpoints were previously reported. Safety of NBTXR3+RT, as preoperative treatment, was evaluated as secondary endpoint. We present the safety analyses done in the “all treated population”, with data recorded during at least a two-year follow-up. Important parameters related to HR-QoL, including functional outcome were studied using the EQ-5D, RNLI, TESS and MSTS questionnaires. Results: Patients had at least two-year follow-up and the lost to follow-up rate was very low (1.9%). RT-related SAEs were observed in 11.2% (10/89) vs 13.3% (12/90) in A vs B. Post-treatment AEs, any grade, were observed in 51.7% (46/89) vs 57.8% (52/90) and serious post-treatment AEs in 13.5% (12/89) vs 24.4% (22/90) of patients in A vs B. Second primary cancer was observed in 1 patient in arm A and 6 patients in arm B. Long-term safety continues to demonstrate that NBTXR3 plus RT has no impact on post-surgical wound complications (24.7% vs 36.7%, A vs B). Furthermore, the evaluation of radiation late toxicities in limbs such as fibrosis (4.5% vs 7.7%), arthrosis (2.2% vs 0.0%) and edema (6.7% vs 2.2%) that may alter limb function showed no difference between arms. Accordingly, HR-QoL evaluation yielded no difference in functional outcome. In addition, the intratumoral injection of NBTXR3 did not induce cancer cell seeding at the former tumor site. Finally, sequelae or chronic tissue disturbances at the former tumor localization were similar in both treatment arms, confirming that the increase of energy dose deposit and the physical presence of NBTXR3 did not impact post-treatment limb functions. Conclusions: The long-term safety results demonstrate that the addition of NBTXR3 to EBRT neither added toxicity nor modified the bystander effect of RT. The results presented here associated with the efficacy data reported previously reinforce the favorable benefit-risk ratio of the use of NBTXR3 in patients with LA STS. Clinical trial information: NCT02379845.


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