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Tumor Discovery                                                  CE-SWI in desmoid fibromatosis assessment




            Table 1. Summary of trends in mean, skewness, 10  and 90  percentile proportions in CE‑SWI and T2 and their concordance
                                                        th
                                                  th
            (Y/N) with response category for each of the 10 desmoid fibromatosis patients included in this study
             Modality  Progression by RECIST T2  Stable RECIST discrepancy with progression  Stable RECIST discrepancy with response
                        Case 1    Case 2   Case 3   Case 4  Case 6  Case 10  Case 5  Case 7   Case 8   Case 9
                       SWI  T2  SWI   T2  SWI  T2  SWI  T2  SWI  T2  SWI  T2  SWI  T2  SWI  T2  SWI  T2  SWI  T2
            Mean        Y    Y   Y    N    N   N    N   Y   Y   Y    N   N   N   N   Y   Y    Y   Y   N    N
            Skewness    N    N   Y    Y    N   N    Y   Y   N   N    N   Y   N   N   Y   Y    N   Y   N    Y
            10  percentile  Y  Y  Y   N    N   N    N   N   Y   Y    N   Y   N   Y   Y   Y    Y   Y   N    N
              th
            90  percentile  Y  Y  Y   Y    N   N    N   Y   Y   Y    N   N   N   N   Y   Y    Y   Y   N    N
              th
            Total       3    3    4   2    0    0   1   3   3   3    0   2   0   1   4    4   3   4   0    1
            Notes: Y: Yes; N: No; CE-SWI: Contrast-enhanced susceptibility-weighted imaging; RECIST: Response evaluation criteria in solid tumors.

            overall performance advantage of CE-SWI volumetric   Data curation: Elvis Duran Sierra, Mathew A.
            and  mChoi  assessments  over  conventional  T2-weighted   Canjirathinkal, Behrang Amini
            equivalents and traditional RECIST. The observed results   Formal  analysis: Raul Valenzuela, Elvis Duran Sierra,
            align with the statistical power expected from a small sample   Mathew A. Canjirathinkal, Behrang Amini
            size, outlining the need for a larger population analysis to   Funding acquisition: John E. Madewell, William A. Murphy Jr.
            extend this pilot study.                           Methodology:  Raul Valenzuela, Elvis Duran Sierra,
                                                                  Mathew  A.  Canjirathinkal,  Colleen  M.  Costelloe,
            5. Conclusion                                         John E. Madewell, William A. Murphy Jr.

            RRR is relatively insensitive to volumetric tumor changes   Writing – original draft: Raul Valenzuela, Elvis Duran
            before RECIST progression and tends to be better tuned   Sierra, Colleen M. Costelloe, John E. Madewell,
            with T2* signal and enhancement changes. Our study    William A. Murphy Jr.
            suggests that the novel use of CE-SWI-based volumetric   Writing – review and editing: Raul Valenzuela, Elvis Duran
            and mChoi measurements could improve the prediction   Sierra, Colleen M. Costelloe, John E. Madewell,
            of response/progression in desmoid tumors by providing a   William A. Murphy Jr., Behrang Amini
            better assessment by means of 3D tumor size measurements
            and could enhance the discrimination between the mature   Ethics approval and consent to participate
            collagenized  component  and  the  enhancing  immature   An approved waiver of consent was obtained for this
            components, respectively, predominant in mature    retrospective study.
            responsive and immature progressive disease. In line
            with these encouraging early results, a larger population   Consent for publication
            study that includes multifocal disease as a disease of   An IRB granted a waiver of informed consent for this study.
            interest, enrols RECIST-based positive response cases, and
            performs treatment efficacy analysis is warranted.  Availability of data

            Acknowledgments                                    Data can be obtained from corresponding author following
                                                               formal request.
            None.
                                                               References
            Funding
                                                               1.   Fletcher CD, Unni K, Mertens F, 2002, World Health
            This work was partly supported by M.R. Evelyn Hudson   Organization classification of tumours. In: Pathology and
            Foundation Endowed Professorship and the John S. Dunn,   Genetics of Tumours of Soft Tissue and Bone. Lyon, France:
            Sr. Distinguished Chair in Diagnostic Imaging.        IARC press.

            Conflict of interest                               2.   Crombé A, Kind M, Ray-Coquard I, et al., 2020, Progressive
                                                                  desmoid tumor: Radiomics compared with conventional
            The authors declare that they have no competing interests.  response criteria for predicting progression during systemic
                                                                  therapy-a multicenter study by the French sarcoma group.
            Author contributions                                  AJR Am J Roentgenol, 215(6): 1539–1548.
            Conceptualization: Raul Valenzuela, Behrang Amini     https://doi.org/10.2214/AJR.19.22635


            Volume 2 Issue 3 (2023)                         7                          https://doi.org/10.36922/td.1414
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