Next Article in Journal
Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology
Next Article in Special Issue
Enhancing Medical Imaging Segmentation with GB-SAM: A Novel Approach to Tissue Segmentation Using Granular Box Prompts
Previous Article in Journal
Correction: Sung et al. Linear Tumor Regression of Rectal Cancer in Daily MRI during Preoperative Chemoradiotherapy: An Insight of Tumor Regression Velocity for Personalized Cancer Therapy. Cancers 2022, 14, 3749
Previous Article in Special Issue
Quantification of Resection Margin following Sublobar Resection in Lung Cancer Patients through Pre- and Post-Operative CT Image Comparison: Utilizing a CT-Based 3D Reconstruction Algorithm
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Cancers
Volume 16
Issue 12
10.3390/cancers16122221
Review Report
cancers-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
Article
Peer-Review Record

Ex Vivo Fluorescence Confocal Microscopy for Intraoperative Examinations of Lung Tumors as Alternative to Frozen Sections—A Proof-of-Concept Study

Cancers 2024, 16(12), 2221; https://doi.org/10.3390/cancers16122221
by Max Kamm 1, Felix Hildebrandt 1, Barbara Titze 1, Anna Janina Höink 2, Hagen Vorwerk 3, Karl-Dietrich Sievert 4, Jan Groetzner 5 and Ulf Titze 1,*
Reviewer 1:
Itay Barnea
Cancers 2024, 16(12), 2221; https://doi.org/10.3390/cancers16122221
Submission received: 6 May 2024 / Revised: 9 June 2024 / Accepted: 12 June 2024 / Published: 14 June 2024
(This article belongs to the Special Issue Advances in Oncological Imaging)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

The aim of this work is to test the suitability of Ex Vivo fluorescence confocal microscopy for use for intraoperative diagnosis of lung tumors. The result suggests that FCM provide almost similar results to frozen section in predicting the presents of cancer in a given sample. If implemented this method can  revolutions lung surgeries as it will remove the need for frozen section. Overall the writers make a good clam for the suitability of this method to replace FC in most cases of lung tumor surgery

The two minor noted I have are:

·       I don’t understand the meaning of word "dignity" in the context of H&E staining.

·       AO have several excitation wave lengths, which was used in the VivaScope 2500-G4

Author Response

Please see the attachment

Author Response File: Author Response.docx

Reviewer 2 Report

Comments and Suggestions for Authors

 

In this study authors performed ex vivo FCM and demonstrated a potential alternative to frozen sections (FS) in the intraoperative diagnosis using tissues from the lung tumors. Ex vivo tissue imaging studies were compared with FCM, IHC and FS. Overall study highlighted FCM data results were comparable (Table 1) to FS, while FCM can be carried out quickly and easily. In addition, specimen material can be preserved without loss from native form. However, the key weakness of this study is limited number of samples size, and it was tested in only one tumor model. Although FCM could be an efficient technique, but it requires more rigorous testing approach. Hence, one cannot conclude FCM can be used in routine clinical diagnosis. I would recommend, this manuscript can be accepted after inclusion of additional data sets performed with one more tumor model as like current studies, e.g., GBM or Breast cancer.

Comments on the Quality of English Language

Good

Author Response

Please see the attachment

Author Response File: Author Response.docx

Back to TopTop