Page 49 - ARNM-1-2
P. 49

Advances in Radiotherapy
            & Nuclear Medicine                                               SUVmax relating to patient and tumor factors



            forward  stepwise  regression  model.  These  suggestions,   Availability of data
            in turn, could have enhanced the external validity of the
            constructed model and also the identification of valid   Supporting data is available from the corresponding author
            predictors. Other limitations of this study include the   on reasonable request.
            lack of analysis of factors such as tumor size, which has   References
            shown some associations in various studies, along with
            other factors such as hematological, biochemical, and   1.   Budak  E,  Çok  G,  Akgün  A,  2018,  The  contribution  of
            radiological parameters.                              fluorine 18F FDG PET/CT to lung cancer diagnosis, staging
                                                                  and  treatment planning.  Mol Imaging Radionucl Ther,
            5. Conclusion                                         27: 73–80.

            Patient’s age and gender, as well as locations and stages      https://doi.org/10.4274/mirt.53315
            of their tumors, do not exhibit any particular association   2.   Hu Y, Wu D, Tian C,  et  al., 2018, Diagnosis of multiple
            with SUV , and any discernible trends are likely mere   primary intestinal type adenocarcinoma in the lung by 18F
                    max
            coincidences. On the contrary, there exists a potential   FDG PET/CT. Clin Nucl Med, 43: 693–694.
            correlation of SUV  with histology, as evidenced in our      https://doi.org/10.1097/RLU.0000000000002171
                           max
            study, and with the grade of tumor differentiation, as   3.   Goense  L,  Ruurda  JP,  Carter  BW,  et al.,  2018,  Prediction
            described in various other studies. Further extensive studies   and  diagnosis  of interval  metastasis  after  neoadjuvant
            with larger sample sizes are required and recommended to   chemoradiotherapy for oesophageal cancer using 18F FDG
            validate this finding.                                PET/CT. Eur J Nucl Med Mol Imaging, 45: 1742–17451.
            Acknowledgments                                       https://doi.org/10.1007/s00259-018-4011-6

            None.                                              4.   Farwell MD, Pryma DA, Mankoff DA, 2014, PET/
                                                                  CT imaging in cancer: Current applications and future
            Funding                                               directions. Cancer, 120: 3433–3445.
            None.                                                 https://doi.org/10.1002/cncr.28860
                                                               5.   Annunziata S, Cuccaro A, Tisi MC, et al., 2018, FDG PET/CT
            Conflict of interest                                  at the end of immuno chemotherapy in follicular lymphoma:
            The authors declare that they have no competing interests.  The prognostic role of the ratio between target lesion and
                                                                  liver SUVmax (rPET). Ann Nucl Med, 32: 372–377.
            Author contributions                                  https://doi.org/10.1007/s12149-018-1243-2
            Conceptualization: Nishant Lohia, Sankalp Singh    6.   Verhagen AF, Bootsma GP, Tjan-Heijnen VC, et al., 2004,
            Formal analysis: Sirshendu Ghosh, Indranil Sinha      FDG-PET in staging lung cancer: How does it change the
            Investigation:  Abhishek Mahato, Dharmesh Paliwal,    algorithm? Lung Cancer, 44: 175–181.
               Nishant Lohia, Indranil Sinha, Gaurav Trivedi      https://doi.org/10.1016/j.lungcan.2003.11.007
            Methodology: Sankalp Singh, Sirshendu Ghosh
            Writing—original draft: Nishant Lohia, Abhishek Mahato  7.   Erdi YE, Macapinlac H, Rosenzweig KE, et al., 2000, Use
                                                                  of PET to monitor the response of lung cancer to radiation
            Writing—review & editing: Sankalp Singh, Dharmesh     treatment. Eur J Nucl Med, 27: 861–866.
               Paliwal
                                                                  https://doi.org/10.1007/s002590000258
            Ethics approval and consent to participate         8.   Zheng D, Niu L, Liu W, et al., 2019, Relationship between

            Ethics approval for the study was obtained from the   the maximum standardized uptake value of fluoro-2-
            Institutional Review Board of Command Hospital,       deoxyglucose-positron emission tomography/computed
            Lucknow  (IEC/32/19).  Written  informed  consent  was   tomography and clinicopathological characteristics in tongue
                                                                  squamous cell carcinoma. J Can Res Ther, 15: 842–848.
            obtained from all study participants for their inclusion in
            the study.                                            https://doi.org/10.4103/jcrt.JCRT_855_18
                                                               9.   Sunnetcioglu A, Arısoy A, Demir Y, et al., 2015, Associations
            Consent for publication                               between the standardized uptake value of (18)F-FDG PET/
            A written informed consent was obtained from all study   CT and demographic, clinical, pathological, radiological
            participants for the use and publication of their clinical   factors in lung cancer. Int J Clin Exp Med, 8: 15794–15800.
            data without any identifying information about the   10.  Liu S, Feng Z, Wen H,  et al., 2018,  FFDG PET/CT can
                                                                                              18
            participants.                                         predict chemosensitivity and proliferation of epithelial

            Volume 1 Issue 2 (2024)                         7                       https://doi.org/10.36922/arnm.2032
   44   45   46   47   48   49   50   51   52   53   54