Peer Review History

Original SubmissionSeptember 14, 2021
Decision Letter - Sandro Pasquali, Editor

PONE-D-21-29302Radiomics and artificial intelligence in malignant uterine body cancers: protocol for a systematic reviewPLOS ONE

Dear Dr. Perrone,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

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Kind regards,

Sandro Pasquali, M.D., Ph.D.

Academic Editor

PLOS ONE

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Please, carefully address reviewers' comments both in the reply letter and in the manuscript text.

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Does the manuscript provide a valid rationale for the proposed study, with clearly identified and justified research questions?

The research question outlined is expected to address a valid academic problem or topic and contribute to the base of knowledge in the field.

Reviewer #1: Partly

Reviewer #2: Yes

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2. Is the protocol technically sound and planned in a manner that will lead to a meaningful outcome and allow testing the stated hypotheses?

The manuscript should describe the methods in sufficient detail to prevent undisclosed flexibility in the experimental procedure or analysis pipeline, including sufficient outcome-neutral conditions (e.g. necessary controls, absence of floor or ceiling effects) to test the proposed hypotheses and a statistical power analysis where applicable. As there may be aspects of the methodology and analysis which can only be refined once the work is undertaken, authors should outline potential assumptions and explicitly describe what aspects of the proposed analyses, if any, are exploratory.

Reviewer #1: No

Reviewer #2: Yes

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3. Is the methodology feasible and described in sufficient detail to allow the work to be replicable?

Descriptions of methods and materials in the protocol should be reported in sufficient detail for another researcher to reproduce all experiments and analyses. The protocol should describe the appropriate controls, sample size calculations, and replication needed to ensure that the data are robust and reproducible.

Reviewer #1: Yes

Reviewer #2: Yes

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4. Have the authors described where all data underlying the findings will be made available when the study is complete?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception, at the time of publication. The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: No

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5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: No

Reviewer #2: Yes

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6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above and, if applicable, provide comments about issues authors must address before this protocol can be accepted for publication. You may also include additional comments for the author, including concerns about research or publication ethics.

You may also provide optional suggestions and comments to authors that they might find helpful in planning their study.

(Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The Authors describe the protocol they are using to finalize a review on the use of radiomics and artificial intelligence in uterine malignancies.

The project is certainly interesting and very topical but has some weaknesses; in particular, endometrial tumors and uterine sarcomas represent two extremely different pathologies. In the case of endometrial carcinomas the salient point becomes the molecular characterization of the tumor, while in uterine sarcomas the problem is the distinction from fibroids. Linking these two pathologies in the same review doesn't seem like a good idea.

Furthermore, the protocol presented does not show anything innovative compared to a common review, so it is not worthy of separate publication. It will be interesting to see the finished work of the Authors.

The work would also require a careful revision of the english language.

Reviewer #2: Provided as attachment.

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Reviewer #1: No

Reviewer #2: No

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Attachments
Attachment
Submitted filename: PONE-D-21-29302 Review .docx
Revision 1

Dear Editor, Thank you for sending me the reviewers' comments and I thank the reviewers for taking the time to make our protocol better. We will answer the questions point by point.

Major Issues

- Add the planned timeline for the study to meet publication criteria

We added the sentence “We expect to complete and publish the analysis by June 2022”

- Add how the data used for the proposed protocol will be made available to meet publication criteria (authors mention information will be extracted using Excel 2013 so that can be possibly be made available).

- Thanks for the comment. We included the excel sheet as supplementary table 2 (line 172)

Minor Issues

- Identification of studies through Scopus seems to be missing in Figure 1

Thanks for the comment, Figure 1 has been modified according to the suggestion

- It will be helpful to have a preliminary analysis as an exemplar of the use of this proposed protocol for a systematic review of radiomics and AI

We added a description of the planned analysis (line 190)

“Based on the data extracted, the overall quality of the included studies will be critically evaluated based on the “Quality Assessment of Diagnostic Accuracy Studies” tool (QUADAS-2), assessing the four standard domains (patient selection, index test, reference standard, and flow and timing). Technical aspects of the included studies will be also analysed; in this context type of techniques (MRI, CT or PET), type of segmentation adopted and how the predictive model was generated (i.e using radiomics, machine learning (ML), or deep learning (DL). We are also particularly interested in analyse the main purpose of the study (i.e for staging purpose or for lesion characterization or for survival prediction).”

- Line 42 (mentions aim of this systematic review), 102 (mentions purpose of this systematic review), 218 (mentions aim of this systematic review) but it technically should be “aim/purpose of this protocol for systematic review” since the paper has not conducted a systematic review yet and is proposing a protocol for it.

Thank you, now Lines 42, 102, 218 have been changed as requested

- Add references to briefly talk about traditional radiomics (such as Gillies et al 2016 and others) which will link to AI radiomics

- Thank you for the comment we added the follows sentences about the radiomics use in line X page Y and the subsequent references are included line 194 page 9: “The radiomics process can be divided into distinct steps such as image acquisition and reconstruction, image segmentation, features extraction and qualification, analysis, and model building [8]. Quantitative image features based on intensity, shape, size or volume, and texture offer information on tumor phenotype and microenvironment (or habitat) that is distinct from that provided by clinical reports, laboratory test results, and genomic or proteomic assays”.

Other Comments

- The proposed protocol can be useful and be applied to perform systematic reviews for other types of cancers.

Thanks for the comment, we definitely hope that our protocol could be useful for other specialty and be cited by other authors

Attachments
Attachment
Submitted filename: Response to Reviewers.docx
Decision Letter - Sandro Pasquali, Editor

Radiomics and artificial intelligence in malignant uterine body cancers: protocol for a systematic review

PONE-D-21-29302R1

Dear Dr. Perrone,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Sandro Pasquali, M.D., Ph.D.

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

This study represents a Registered Reports and therefore falls in the scope of PLOS ONE.

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Does the manuscript provide a valid rationale for the proposed study, with clearly identified and justified research questions?

The research question outlined is expected to address a valid academic problem or topic and contribute to the base of knowledge in the field.

Reviewer #2: Yes

**********

2. Is the protocol technically sound and planned in a manner that will lead to a meaningful outcome and allow testing the stated hypotheses?

The manuscript should describe the methods in sufficient detail to prevent undisclosed flexibility in the experimental procedure or analysis pipeline, including sufficient outcome-neutral conditions (e.g. necessary controls, absence of floor or ceiling effects) to test the proposed hypotheses and a statistical power analysis where applicable. As there may be aspects of the methodology and analysis which can only be refined once the work is undertaken, authors should outline potential assumptions and explicitly describe what aspects of the proposed analyses, if any, are exploratory.

Reviewer #2: Partly

**********

3. Is the methodology feasible and described in sufficient detail to allow the work to be replicable?

Descriptions of methods and materials in the protocol should be reported in sufficient detail for another researcher to reproduce all experiments and analyses. The protocol should describe the appropriate controls, sample size calculations, and replication needed to ensure that the data are robust and reproducible.

Reviewer #2: Yes

**********

4. Have the authors described where all data underlying the findings will be made available when the study is complete?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception, at the time of publication. The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above and, if applicable, provide comments about issues authors must address before this protocol can be accepted for publication. You may also include additional comments for the author, including concerns about research or publication ethics.

You may also provide optional suggestions and comments to authors that they might find helpful in planning their study.

(Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #2: The authors have addressed my earlier comments and I am happy with them although I was expecting some data of papers that have been collected to be present in the excel sheet that was submitted as Supplementary Table 2 instead of just the template. I look forward to reading the systematic review by the authors following this protocol.

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7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #2: No

Formally Accepted
Acceptance Letter - Sandro Pasquali, Editor

PONE-D-21-29302R1

Radiomics and artificial intelligence in malignant uterine body cancers: protocol for a systematic review

Dear Dr. Perrone:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Sandro Pasquali

Academic Editor

PLOS ONE

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