Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020;70(1):7–30.
Article
Google Scholar
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global Cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.
Article
Google Scholar
Liu J, Dong M, Sun X, Li W, Xing L, Yu J. Prognostic value of 18F-FDG PET/CT in surgical non-small cell lung Cancer: a Meta-analysis. PLoS One. 2016;11(1):e0146195.
Article
Google Scholar
National Comprehensive Cancer Network. Breast Cancer (Version 4.2022), https://www.nccn.org/professionals/physician_gls/pdf/breast.pdf; 2022 Accessed 1 Dec 2022.
Amin MB, Edge SB, Greene FL, Byrd DR, Brookland RK, Washington MK, et al. AJCC Cancer staging manual. 8th ed. New York: Springer International Publishing; 2017.
Giuliano AE, Connolly JL, Edge SB, Mittendorf EA, Rugo HS, Solin LJ, et al. Breast Cancer-major changes in the American joint committee on Cancer eighth edition cancer staging manual. CA Cancer J Clin. 2017;67(4):290–303.
Article
Google Scholar
Chavez-MacGregor M, Mittendorf EA, Clarke CA, Lichtensztajn DY, Hunt KK, Giordano SH. Incorporating tumor characteristics to the American joint committee on Cancer breast Cancer staging system. Oncologist. 2017;22(11):1292–300.
Article
CAS
Google Scholar
Kitajima K, Miyoshi Y, Yamano T, Odawara S, Higuchi T, Yamakado K. Prognostic value of FDG-PET and DWI in breast cancer. Ann Nucl Med. 2018;32(1):44–53.
Article
Google Scholar
Toledano MN, Vera P, Tilly H, Jardin F, Becker S. Comparison of therapeutic evaluation criteria in FDG-PET/CT in patients with diffuse large-cell B-cell lymphoma: prognostic impact of tumor/liver ratio. PLoS One. 2019;14(2):e0211649.
Article
CAS
Google Scholar
Lee SW, Park HL, Yoon N, Kim JH, Oh JK, Buyn JH, et al. Prognostic impact of Total lesion glycolysis (TLG) from preoperative (18)F-FDG PET/CT in stage II/III colorectal adenocarcinoma: extending the value of PET/CT for Resectable disease. Cancers (Basel). 2022;14(3).
Park HL, Yoo IR, Boo SH, Park SY, Park JK, Sung SW, et al. Does FDG PET/CT have a role in determining adjuvant chemotherapy in surgical margin-negative stage IA non-small cell lung cancer patients? J Cancer Res Clin Oncol. 2019;145(4):1021–6.
Article
Google Scholar
Chotchutipan T, Rosen BS, Hawkins PG, Lee JY, Saripalli AL, Thakkar D, et al. Volumetric (18) F-FDG-PET parameters as predictors of locoregional failure in low-risk HPV-related oropharyngeal cancer after definitive chemoradiation therapy. Head Neck. 2019;41(2):366–73.
Google Scholar
Elston CW, Ellis IO. Pathological prognostic factors in breast cancer. I. the value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology. 1991;19(5):403–10.
Article
CAS
Google Scholar
Allison KH, Hammond MEH, Dowsett M, McKernin SE, Carey LA, Fitzgibbons PL, et al. Estrogen and progesterone receptor testing in breast Cancer: American Society of Clinical Oncology/College of American Pathologists Guideline Update. Arch Pathol Lab Med. 2020;144(5):545–63.
Article
CAS
Google Scholar
Wolff AC, Hammond MEH, Allison KH, Harvey BE, Mangu PB, Bartlett JMS, et al. Human epidermal growth factor receptor 2 testing in breast Cancer: American Society of Clinical Oncology/College of American Pathologists Clinical Practice Guideline Focused Update. Arch Pathol Lab Med. 2018;142(11):1364–82.
Article
Google Scholar
Coates AS, Winer EP, Goldhirsch A, Gelber RD, Gnant M, Piccart-Gebhart M, et al. Tailoring therapies--improving the management of early breast cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer. Ann Oncol. 2015;26(8):1533–46.
Article
CAS
Google Scholar
Petrelli F, Viale G, Cabiddu M, Barni S. Prognostic value of different cut-off levels of Ki-67 in breast cancer: a systematic review and meta-analysis of 64,196 patients. Breast Cancer Res Treat. 2015;153(3):477–91.
Article
Google Scholar
Miller R, Siegmund D. Maximally selected Chi Square statistics. Biometrics. 1982;38(4):1011–6.
Article
Google Scholar
Caresia Aroztegui AP, García Vicente AM, Alvarez Ruiz S, Delgado Bolton RC, Orcajo Rincon J, Garcia Garzon JR, et al. 18F-FDG PET/CT in breast cancer: evidence-based recommendations in initial staging. Tumour Biol. 2017;39(10):1010428317728285.
Article
CAS
Google Scholar
Groheux D, Cochet A, Humbert O, Alberini JL, Hindié E, Mankoff D. 18F-FDG PET/CT for staging and restaging of breast Cancer. J Nucl Med. 2016;57(Suppl 1):17s–26s.
Article
CAS
Google Scholar
Qu YH, Long N, Ran C, Sun J. The correlation of (18)F-FDG PET/CT metabolic parameters, clinicopathological factors, and prognosis in breast cancer. Clin Transl Oncol. 2021;23(3):620–7.
Article
CAS
Google Scholar
Cochet A, Dygai-Cochet I, Riedinger JM, Humbert O, Berriolo-Riedinger A, Toubeau M, et al. 18F-FDG PET/CT provides powerful prognostic stratification in the primary staging of large breast cancer when compared with conventional explorations. Eur J Nucl Med Mol Imaging. 2014;41(3):428–37.
Article
Google Scholar
Champion L, Lerebours F, Alberini JL, Fourme E, Gontier E, Bertrand F, et al. 18F-FDG PET/CT to predict response to neoadjuvant chemotherapy and prognosis in inflammatory breast Cancer. J Nucl Med. 2015;56(9):1315–21.
Article
CAS
Google Scholar
Groheux D, Martineau A, Teixeira L, Espié M, de Cremoux P, Bertheau P, et al. (18)FDG-PET/CT for predicting the outcome in ER+/HER2- breast cancer patients: comparison of clinicopathological parameters and PET image-derived indices including tumor texture analysis. Breast Cancer Res. 2017;19(1):3.
Article
Google Scholar
Biehl KJ, Kong FM, Dehdashti F, Jin JY, Mutic S, El Naqa I, et al. 18F-FDG PET definition of gross tumor volume for radiotherapy of non-small cell lung cancer: is a single standardized uptake value threshold approach appropriate? J Nucl Med. 2006;47(11):1808–12.
Google Scholar
Sher A, Lacoeuille F, Fosse P, Vervueren L, Cahouet-Vannier A, Dabli D, et al. For avid glucose tumors, the SUV peak is the most reliable parameter for [(18)F]FDG-PET/CT quantification, regardless of acquisition time. EJNMMI Res. 2016;6(1):21.
Article
Google Scholar
Giuliano AE, Hunt KK, Ballman KV, Beitsch PD, Whitworth PW, Blumencranz PW, et al. Axillary dissection vs no axillary dissection in women with invasive breast cancer and sentinel node metastasis: a randomized clinical trial. Jama. 2011;305(6):569–75.
Article
CAS
Google Scholar
Weiss A, Chavez-MacGregor M, Lichtensztajn DY, Yi M, Tadros A, Hortobagyi GN, et al. Validation study of the American joint committee on Cancer eighth edition prognostic stage compared with the anatomic stage in breast Cancer. JAMA Oncol. 2018;4(2):203–9.
Article
Google Scholar
Pedersen RN, Esen B, Mellemkjær L, Christiansen P, Ejlertsen B, Lash TL, et al. The incidence of breast Cancer recurrence 10-32 years after primary diagnosis. J Natl Cancer Inst. 2022;114(3):391–9.
Article
Google Scholar
Avril N. GLUT1 expression in tissue and (18)F-FDG uptake. J Nucl Med. 2004;45(6):930–2.
CAS
Google Scholar
Younes M, Brown RW, Mody DR, Fernandez L, Laucirica R. GLUT1 expression in human breast carcinoma: correlation with known prognostic markers. Anticancer Res. 1995;15(6b):2895–8.
CAS
Google Scholar
Zeng K, Ju G, Wang H, Huang J. GLUT1/3/4 as novel biomarkers for the prognosis of human breast cancer. Transl Cancer Res. 2020;9(4):2363–77.
Article
CAS
Google Scholar
Grover-McKay M, Walsh SA, Seftor EA, Thomas PA, Hendrix MJ. Role for glucose transporter 1 protein in human breast cancer. Pathol Oncol Res. 1998;4(2):115–20.
Article
CAS
Google Scholar
Ito K, Ogata H, Honma N, Shibuya K, Mikami T. Expression of mTOR signaling pathway molecules in triple-negative breast Cancer. Pathobiology. 2019;86(5–6):315–21.
Article
CAS
Google Scholar
Lin C, Xu X. YAP1-TEAD1-Glut1 axis dictates the oncogenic phenotypes of breast cancer cells by modulating glycolysis. Biomed Pharmacother. 2017;95:789–94.
Article
CAS
Google Scholar
Vander Heiden MG, Cantley LC, Thompson CB. Understanding the Warburg effect: the metabolic requirements of cell proliferation. Science. 2009;324(5930):1029–33.
Article
CAS
Google Scholar
Lee SH, Ha S, An HJ, Lee JS, Han W, Im SA, et al. Association between partial-volume corrected SUVmax and Oncotype DX recurrence score in early-stage, ER-positive/HER2-negative invasive breast cancer. Eur J Nucl Med Mol Imaging. 2016;43(9):1574–84.
Article
CAS
Google Scholar