Peer Review History
| Original SubmissionMay 8, 2025 |
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Dear Dr. Gould, In particular, the reviewers have pointed out the need of providing more details about the methodology and improving the discussion of the results. Please submit your revised manuscript by Aug 21 2025 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org . When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.
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Thank you for stating the following financial disclosure: [HEU H2022 project “Metastra - Computer- Aided Effective Fracture Risk Stratification Of Patients With Vertebral Metastases For Personalised Treatment Through Robust Computational Models Validated In Clinical Settings” (topic HLTH-2022-12-01, grant ID 101080135). Please state what role the funders took in the study. If the funders had no role, please state: ""The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript."" If this statement is not correct you must amend it as needed. Please include this amended Role of Funder statement in your cover letter; we will change the online submission form on your behalf. [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? Reviewer #1: Yes Reviewer #2: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? -->?> Reviewer #1: Yes Reviewer #2: No ********** 3. Have the authors made all data underlying the findings in their manuscript fully available??> The PLOS Data policy Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English??> Reviewer #1: Yes Reviewer #2: Yes ********** Reviewer #1: The manuscript titled “Generation of severly scoliotic subject-specific musculoskeletal models” presents a semi-automatic workflow for the generation of subject-specific musculoskeletal models of the scoliotic spine, with a focus on severe deformities. The study is timely and relevant, and the effort to build a reproducible and open-source tool is truly commendable. The manuscript falls within the scope of Plos One journal and represents a relevant study in the advancement of musculoskeletal spinal biomechanics state-of-the-art. However, there are some points that require further clarification or improvement, below described: - The description of how the vertebrae were displaced relative to one another during the reconstruction process still requires improvements. The authors mention aligning the vertebrae based on virtually palpated anatomical landmarks and applying affine transformations, but the specific procedure used to reposition the vertebral bodies to achieve the target curvature lacks sufficient detail. Similarly, the method for anisotropic scaling of the vertebrae is not fully explained. Although affine transformations are said to be computed using specific landmarks, a more precise and step-by-step description would significantly improve the manuscript. - The definition of the intervertebral joint based on ISB recommendations is appropriate; however, the implementation itself would benefit from a brief explanation. Additionally, the manuscript mentions the addition of linear and spring dampers in the form of bushings, but several critical aspects are not clarified: were the connectors inserted after the morphological adjustments? Otherwise a pre-load would be introduced due to the roto-translation of adjacent vertebrae following the new curvature. Were the bushings replaced in the same relative location of traditional spherical joints? - Concerning the virtual palpation performed by the operators, it is unclear whether they were clinicians or engineers. This distinction is important, as it relates directly to the reliability of the process. Furthermore, it is essential to specify what instructions were given to the operators for the virtual palpation. Although the variability analyses are detailed and statistically thorough, without knowledge of the protocol followed by the operators, it is difficult to assess whether the observed reliability is due to the method itself or to the operators’ expertise. - Model accuracy is primarily assessed based on vertebral center position and curve fitting. While this is a valuable metric, but how anatomically implausible results (e.g., muscle paths intersecting bone) were identified and addressed? Was this done purely via visual inspection, or was a systematic metric or validation method used? - A noticeable mismatch is observed between vertebrae L3 to L5 in Fig. 6. The lumbar vertebrae appear to be more spaced than expected, especially imagining the posterior region where the facet joints are located. It would be important to clarify whether this discrepancy is due to the scaling procedure, landmark definition, or reference alignment. Was this a visual artifact? How the authors think this could reflect a recurring issue in the model output? - In the results, lumbar lordosis is reported as a negative angle. While this is likely due to an inverted curvature, angle convention generally refer to positive angles. Moreover, in the table, some terminology doesn’t appear straightforwardly clear: what is intended for “main curve type” and “main secondary curve type” ? Do they refer to anatomical regions (e.g., thoracic vs. lumbar)? Similarly, the term “pelvic mismatch” is used without adequate context regarding its clinical significance or its impact on the model. - The authors point out that the reconstructed models align well with CT scans acquired in the supine position but not with standing radiographs. This could turn into significant limitation of musculoskeletal models based on CT data. Since evaluations and model-based analyses are typically conducted in standing posture, the inability of the model to replicate anatomical parameters across postures could impact the reliability of the estimations. This limitation should be emphasized more strongly in the Discussion for further debate with scientific community. - The statement on page 25 suggesting that systematic error affected the model more than operator variability appears in contradiction with earlier results where inter-operator differences were significant in several directions. Could the authors please motivate the sentence? - The issue of low reproducibility in vertebral geometry is mentioned, which is a known challenge in musculoskeletal modeling. In this perspective, does the proposed opensource tool requires a prior adjustment of vertebral geometry, or this is handled automatically by the workflow, or the method can also be applied to traditional vertebral .vtp files (which often suffer from low resolution)? The authors should consider adding a summary table or schematic—either in the Discussion or as Supplementary Material—outlining the expected inputs required for the tool shared opensource, which are the key steps, and the limitations of the current pipeline. This would greatly enhance the practical utility of the work. Reviewer #2: The introduction is largely clear and poses an interesting research aim. The promise of an open-source package to generate subject-specific MSK spine models from CT is very welcome. Unfortunately, I believe that the manuscript lacks many relevant details and that the proposed code requires further development to achieve accuracy relevant for publication. Please see my more specific comments below: 1. First, regarding the accuracy of the model, in the results a comparison is made with another paper where submillimeter accuracy was achieved, whereas the current proposed methodology leads to errors of multiple millimeters. Considering that this model was developed and tested on only one subject leads me to seriously doubt the reliability of the model. The authors rightfully mention in the discussion that 'a better definition or method is required to identify the vertebral endplate's center'. 2. A key point of the methodology is the virtual palpation of CT scans. The protocol for how to do this is missing. It is also not fully clear to me if the palpations are actually performed on the CT scans, or if they are performed on segmentations of the spine. If segmentation of the spine is required before palpations can be done, I do not believe there is much merit in this method over directly registering the vertebrae of the generic model to the segmentations. 3. In relation to the previous comment, it is unclear how the operators were instructed to perform the palpations and what their experience level is working with CT images (were these operators radiologists, orthopedic surgeons, students?). 4. A very big portion of the manuscript is about the interobserver and intraobserver variation. I believe this to be of minor relevance to the actual accuracy of the model. If instructions for virtual palpations are good enough to reach submillimeter repeatability, then that's sufficient. I suggest reporting the intraclass correlation coefficients and put more emphasis on the actual accuracy of the model. Especially the information about all repetitions (table 3) and comparisons between individual operators (table 4) doesn't mean much in my opinion. 5. The aim posed in the introduction strongly suggests that muscle-paths and IVJ stiffnesses are personalized. The IVJ stiffnesses are not personalized, and the muscle paths rely on the bone shape and predefined connection points of a generic healthy spine. The only true subject-specificity is the position and size of the vertebrae, the rest naturally follows from how the generic model was already developed and is thus not novel for this study. 6. The effect of the palpations on the final positions of the vertebrae in the model is well-presented. It would also be interesting to see how this would affect actual modelling outcomes. Is the difference in position relevant for intended use of this model? The introduction mentions that these model can be used to predict treatment outcomes and simulate instrumentation strategies. It would be interesting to see some examples tested in this paper. Similarly, what is the effect of having the muscles go around the vertebrae on model predictions? And, what is the effect of adding the translational DoFs to the IVJ? 7. The introduction states '...development of high-quality automatic segmentation methods, as the review by Galbusera et al. notes, work is ongoing (26).'. The reference here is 6 years old and plenty of development has been completed since then. Also already 5 years ago open-source neural networks have been published for automatic segmentation of the spine from CT, e.g.,: Payer, C., Štern, D., Bischof, H., Urschler, M., 2020. Coarse to Fine Vertebrae Localization and Segmentation with SpatialConfiguration-Net and U-Net:, in: Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Presented at the 15th International Conference on Computer Vision Theory and Applications, SCITEPRESS - Science and Technology Publications, Valletta, Malta, pp. 124–133. https://doi.org/10.5220/0008975201240133 8. More details need to be mentioned regarding the patient and the scans under 2.1. Apparently there is also an x-ray that now only gets mentioned in table 2. 9. For future reviews: please add line numbers to make referencing text easier. ********** 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 #1: No Reviewer #2: Yes: Joeri Kok ********** [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/ . PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org . 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| Revision 1 |
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Generation of severely scoliotic subject-specific musculoskeletal models PONE-D-25-23772R1 Dear Dr. Samuele Luca Gould 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. An invoice will be generated when your article is formally accepted. Please note, if your institution has a publishing partnership with PLOS and your article meets the relevant criteria, all or part of your publication costs will be covered. Please make sure your user information is up-to-date by logging into Editorial Manager at Editorial Manager® and clicking the ‘Update My Information' link at the top of the page. For questions related to billing, please contact billing support . 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, Muhammad Mohsin Khan Academic Editor PLOS ONE Reviewers' comments: Reviewer's Responses to Questions Comments to the Author Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions??> Reviewer #1: Yes Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? -->?> Reviewer #1: Yes Reviewer #2: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available??> The PLOS Data policy Reviewer #1: Yes Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English??> Reviewer #1: Yes Reviewer #2: Yes ********** Reviewer #1: (No Response) Reviewer #2: (No Response) ********** 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 #1: Yes: Simone Borrelli Reviewer #2: No ********** |
| Formally Accepted |
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PONE-D-25-23772R1 PLOS ONE Dear Dr. Gould, I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team. At this stage, our production department will prepare your paper for publication. This includes ensuring the following: * All references, tables, and figures are properly cited * All relevant supporting information is included in the manuscript submission, * There are no issues that prevent the paper from being properly typeset You will receive further instructions from the production team, including instructions on how to review your proof when it is ready. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few days to review your paper and let you know the next and final steps. Lastly, 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. You will receive an invoice from PLOS for your publication fee after your manuscript has reached the completed accept phase. If you receive an email requesting payment before acceptance or for any other service, this may be a phishing scheme. Learn how to identify phishing emails and protect your accounts at https://explore.plos.org/phishing. If we can help with anything else, please email us at customercare@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. Muhammad Mohsin Khan Academic Editor PLOS ONE |
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