Title: A radiomics model fusing clinical features to predict microsatellite status preoperatively
in colorectal cancer liver metastasis
Version: 3 Date: 13 Mar 2023
Reviewer's report:
Dear Author,
Did you find any difference in results segmenting half-tumor or the entire tumor with MSI
mutation?
Because your patient dataset included patients with liver metastases, please discuss the
different treatment strategies available for the patients with MSI-H, whenever the medical
therapy could be useless.  (Rocca A, Cipriani F, et al. The Italian Consensus on minimally
invasive simultaneous resections for synchronous liver metastasis and primary colorectal
cancer: A Delphi methodology. Updates Surg. 2021 Aug;73(4):1247-1265. doi: 10.1007/
s13304-021-01100-9. Epub 2021 Jun 5. PMID: 34089501.)
(Ceccarelli G, Rocca A, De Rosa M, Fontani A, Ermili F, Andolfi E, Bugiantella W,
Levi Sandri GB. Minimally invasive robotic-assisted combined colorectal and liver excision
surgery: feasibility, safety and surgical technique in a pilot series. Updates Surg. 2021
Jun;73(3):1015-1022. doi: 10.1007/s13304-021-01009-3. Epub 2021 Apr 8. Erratum in:
Updates Surg. 2021 May 10;: PMID: 33830484.)
Explain also the work time the manual segmentation requested, in spite of the accuracy achieved.
The AI method proposed is not so performing with a small sample of patients, discuss the
difference with Radiomics - Formal- Methods
(Rocca A, Brunese MC, Santone A, Avella P, Bianco P, Scacchi A, Scaglione M, Bellifemine
F, Danzi R, Varriano G, Vallone G, Calise F, Brunese L. Early Diagnosis of Liver Metastases
from Colorectal Cancer through CT Radiomics and Formal Methods: A Pilot Study. J Clin Med.
2021 Dec 22;11(1):31. doi: 10.3390/jcm11010031. PMID: 35011771; PMCID: PMC8745238)
Brunese L, Martinelli F, Mercaldo F, Santone A. Machine learning for coronavirus covid-19
detection from chest x-rays. Procedia Comput Sci. 2020;176:2212-2221. doi: 10.1016/
j.procs.2020.09.258. Epub 2020 Oct 2. PMID: 33042308; PMCID: PMC7531990.
Title: A radiomics model fusing clinical features to predict microsatellite status preoperatively
in colorectal cancer liver metastasis
Version: 3 Date: 13 Mar 2023
Reviewer's report:
Dear Author,
Did you find any difference in results segmenting half-tumor or the entire tumor with MSI
mutation?
Because your patient dataset included patients with liver metastases, please discuss the
different treatment strategies available for the patients with MSI-H, whenever the medical
therapy could be useless.  (Rocca A, Cipriani F, et al. The Italian Consensus on minimally
invasive simultaneous resections for synchronous liver metastasis and primary colorectal
cancer: A Delphi methodology. Updates Surg. 2021 Aug;73(4):1247-1265. doi: 10.1007/
s13304-021-01100-9. Epub 2021 Jun 5. PMID: 34089501.)
(Ceccarelli G, Rocca A, De Rosa M, Fontani A, Ermili F, Andolfi E, Bugiantella W,
Levi Sandri GB. Minimally invasive robotic-assisted combined colorectal and liver excision
surgery: feasibility, safety and surgical technique in a pilot series. Updates Surg. 2021
Jun;73(3):1015-1022. doi: 10.1007/s13304-021-01009-3. Epub 2021 Apr 8. Erratum in:
Updates Surg. 2021 May 10;: PMID: 33830484.)
Explain also the work time the manual segmentation requested, in spite of the accuracy achieved.
The AI method proposed is not so performing with a small sample of patients, discuss the
difference with Radiomics - Formal- Methods
(Rocca A, Brunese MC, Santone A, Avella P, Bianco P, Scacchi A, Scaglione M, Bellifemine
F, Danzi R, Varriano G, Vallone G, Calise F, Brunese L. Early Diagnosis of Liver Metastases
from Colorectal Cancer through CT Radiomics and Formal Methods: A Pilot Study. J Clin Med.
2021 Dec 22;11(1):31. doi: 10.3390/jcm11010031. PMID: 35011771; PMCID: PMC8745238)
Brunese L, Martinelli F, Mercaldo F, Santone A. Machine learning for coronavirus covid-19
detection from chest x-rays. Procedia Comput Sci. 2020;176:2212-2221. doi: 10.1016/
j.procs.2020.09.258. Epub 2020 Oct 2. PMID: 33042308; PMCID: PMC7531990.
Please review this paper.
user
Title: A radiomics model fusing clinical features to predict microsatellite status preoperatively
in colorectal cancer liver metastasis
Version: 3 Date: 13 Mar 2023
Reviewer's report:
Dear Author,
Did you find any difference in results segmenting half-tumor or the entire tumor with MSI
mutation?
Because your patient dataset included patients with liver metastases, please discuss the
different treatment strategies available for the patients with MSI-H, whenever the medical
therapy could be useless.  (Rocca A, Cipriani F, et al. The Italian Consensus on minimally
invasive simultaneous resections for synchronous liver metastasis and primary colorectal
cancer: A Delphi methodology. Updates Surg. 2021 Aug;73(4):1247-1265. doi: 10.1007/
s13304-021-01100-9. Epub 2021 Jun 5. PMID: 34089501.)
(Ceccarelli G, Rocca A, De Rosa M, Fontani A, Ermili F, Andolfi E, Bugiantella W,
Levi Sandri GB. Minimally invasive robotic-assisted combined colorectal and liver excision
surgery: feasibility, safety and surgical technique in a pilot series. Updates Surg. 2021
Jun;73(3):1015-1022. doi: 10.1007/s13304-021-01009-3. Epub 2021 Apr 8. Erratum in:
Updates Surg. 2021 May 10;: PMID: 33830484.)
Explain also the work time the manual segmentation requested, in spite of the accuracy achieved.
The AI method proposed is not so performing with a small sample of patients, discuss the
difference with Radiomics - Formal- Methods
(Rocca A, Brunese MC, Santone A, Avella P, Bianco P, Scacchi A, Scaglione M, Bellifemine
F, Danzi R, Varriano G, Vallone G, Calise F, Brunese L. Early Diagnosis of Liver Metastases
from Colorectal Cancer through CT Radiomics and Formal Methods: A Pilot Study. J Clin Med.
2021 Dec 22;11(1):31. doi: 10.3390/jcm11010031. PMID: 35011771; PMCID: PMC8745238)
Brunese L, Martinelli F, Mercaldo F, Santone A. Machine learning for coronavirus covid-19
detection from chest x-rays. Procedia Comput Sci. 2020;176:2212-2221. doi: 10.1016/
j.procs.2020.09.258. Epub 2020 Oct 2. PMID: 33042308; PMCID: PMC7531990.
assistant