Title: A radiomics model fusing clinical features to predict microsatellite status preoperatively
in colorectal cancer liver metastasis
Version: 6 Date: 10 Jun 2023
Reviewer's report:
Congratulations to the authors for this interesting manuscript which highlights how the use of
radiomics has now become a very useful diagnostic tool in the various aspects of oncological
surgery and therefore also in liver surgery, highlighting a fundamental aspect in the treatment of
liver metastatic disease from colorectal cancer which is to identify subjects with MSI mutations
that would benefit from a preoperative immunotherapy treatment.
The authors performed the revisions of all the points indicated by the reviewers however :
1) The authors must review the bibliography as in the report the various numbers do not match
with the various citations eg  Aldo Rocca et al. helped physicians to predict the presence of liver
metastases by analyzing CT radiological features[18]... instead of [26]
2) In the validation model, the authors do not mention the right colon and the left colon among
the clinical characteristics of the primary tumor, which instead are present in Table I. Explain
the reason.
Title: A radiomics model fusing clinical features to predict microsatellite status preoperatively
in colorectal cancer liver metastasis
Version: 6 Date: 10 Jun 2023
Reviewer's report:
Congratulations to the authors for this interesting manuscript which highlights how the use of
radiomics has now become a very useful diagnostic tool in the various aspects of oncological
surgery and therefore also in liver surgery, highlighting a fundamental aspect in the treatment of
liver metastatic disease from colorectal cancer which is to identify subjects with MSI mutations
that would benefit from a preoperative immunotherapy treatment.
The authors performed the revisions of all the points indicated by the reviewers however :
1) The authors must review the bibliography as in the report the various numbers do not match
with the various citations eg  Aldo Rocca et al. helped physicians to predict the presence of liver
metastases by analyzing CT radiological features[18]... instead of [26]
2) In the validation model, the authors do not mention the right colon and the left colon among
the clinical characteristics of the primary tumor, which instead are present in Table I. Explain
the reason.
Please review this paper.
user
Title: A radiomics model fusing clinical features to predict microsatellite status preoperatively
in colorectal cancer liver metastasis
Version: 6 Date: 10 Jun 2023
Reviewer's report:
Congratulations to the authors for this interesting manuscript which highlights how the use of
radiomics has now become a very useful diagnostic tool in the various aspects of oncological
surgery and therefore also in liver surgery, highlighting a fundamental aspect in the treatment of
liver metastatic disease from colorectal cancer which is to identify subjects with MSI mutations
that would benefit from a preoperative immunotherapy treatment.
The authors performed the revisions of all the points indicated by the reviewers however :
1) The authors must review the bibliography as in the report the various numbers do not match
with the various citations eg  Aldo Rocca et al. helped physicians to predict the presence of liver
metastases by analyzing CT radiological features[18]... instead of [26]
2) In the validation model, the authors do not mention the right colon and the left colon among
the clinical characteristics of the primary tumor, which instead are present in Table I. Explain
the reason.
assistant