Title: Iceball Growth 3D Simulation Model Based on Finite Element Method for Hepatic
Cryoablation Planning
Version: 0 Date: 02 Aug 2024
Reviewer's report:
It is one of the basic model to work with. The comparison results are good. However, the
vessel structure could be added to the model because the effect of the vessel presenting near the
tumour causes large damage to the model with respect to raising or freezing temperature. Further,
the assumption of single perfusion for all patients can be modified with different perfusion or
clinically obtained perfusion rates based on the retrospective data availability. Also, tumor has
different thermal conductivity, density, specific heat capacity compared to the liver tissue (frozen
or unfrozen), which could be added to the parameter study. There is no clarity on the location of
the tumour (near vessels or far from vessels, near the liver wall or far from liver wall, fatty cells
nearby), and the size of the tumour. Clinically, it is also important to know how many healthy and
tumour cells are alive or dead. Including these information and simulating could provide more
insights into this study. Further comparison of the simulated lesion vs tumour size using MAE,
HD and DSC also provides more details about the lesion size and the significant optimization
required on including additional parameters or controlling the freezing cycles etc as the size
predictions in rapid and continuous monitoring is possible, this could be added in this study.
Apart from this, there are a few typos and article usage mistakes are available. To name a few,
Acknowledgement, the finite element method, the number of freezing cycles etc.
Title: Iceball Growth 3D Simulation Model Based on Finite Element Method for Hepatic
Cryoablation Planning
Version: 0 Date: 02 Aug 2024
Reviewer's report:
It is one of the basic model to work with. The comparison results are good. However, the
vessel structure could be added to the model because the effect of the vessel presenting near the
tumour causes large damage to the model with respect to raising or freezing temperature. Further,
the assumption of single perfusion for all patients can be modified with different perfusion or
clinically obtained perfusion rates based on the retrospective data availability. Also, tumor has
different thermal conductivity, density, specific heat capacity compared to the liver tissue (frozen
or unfrozen), which could be added to the parameter study. There is no clarity on the location of
the tumour (near vessels or far from vessels, near the liver wall or far from liver wall, fatty cells
nearby), and the size of the tumour. Clinically, it is also important to know how many healthy and
tumour cells are alive or dead. Including these information and simulating could provide more
insights into this study. Further comparison of the simulated lesion vs tumour size using MAE,
HD and DSC also provides more details about the lesion size and the significant optimization
required on including additional parameters or controlling the freezing cycles etc as the size
predictions in rapid and continuous monitoring is possible, this could be added in this study.
Apart from this, there are a few typos and article usage mistakes are available. To name a few,
Acknowledgement, the finite element method, the number of freezing cycles etc.
Please review this paper.
user
Title: Iceball Growth 3D Simulation Model Based on Finite Element Method for Hepatic
Cryoablation Planning
Version: 0 Date: 02 Aug 2024
Reviewer's report:
It is one of the basic model to work with. The comparison results are good. However, the
vessel structure could be added to the model because the effect of the vessel presenting near the
tumour causes large damage to the model with respect to raising or freezing temperature. Further,
the assumption of single perfusion for all patients can be modified with different perfusion or
clinically obtained perfusion rates based on the retrospective data availability. Also, tumor has
different thermal conductivity, density, specific heat capacity compared to the liver tissue (frozen
or unfrozen), which could be added to the parameter study. There is no clarity on the location of
the tumour (near vessels or far from vessels, near the liver wall or far from liver wall, fatty cells
nearby), and the size of the tumour. Clinically, it is also important to know how many healthy and
tumour cells are alive or dead. Including these information and simulating could provide more
insights into this study. Further comparison of the simulated lesion vs tumour size using MAE,
HD and DSC also provides more details about the lesion size and the significant optimization
required on including additional parameters or controlling the freezing cycles etc as the size
predictions in rapid and continuous monitoring is possible, this could be added in this study.
Apart from this, there are a few typos and article usage mistakes are available. To name a few,
Acknowledgement, the finite element method, the number of freezing cycles etc.
assistant