Scientific Papers

Multimodal MRI-based radiomics models for the preoperative prediction of lymphovascular space invasion of endometrial carcinoma | BMC Medical Imaging


  • Ferrari F, Giannini A. Approaches to prevention of gynecological malignancies. BMC Womens Health. 2024;24:254.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Koskas M, Amant F, Mirza MR, Creutzberg CL. Cancer of the corpus uteri: 2021 update. Int J Gynaecol Obstet. 2021;155(Suppl 1):45–60.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Colombo N, Creutzberg C, Amant F, Bosse T, González-Martín A, Ledermann J, et al. ESMO-ESGO-ESTRO Consensus Conference on Endometrial Cancer: diagnosis, treatment and follow-up. Ann Oncol. 2016;27:16–41.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Bosse T, Peters EE, Creutzberg CL, Jürgenliemk-Schulz IM, Jobsen JJ, Mens JW, et al. Substantial lymph-vascular space invasion (LVSI) is a significant risk factor for recurrence in endometrial cancer–A pooled analysis of PORTEC 1 and 2 trials. Eur J Cancer. 2015;51:1742–50.

    Article 
    PubMed 

    Google Scholar
     

  • Saketh R, Guntupalli. and, Israel, Zighelboim Lymphovascular space invasion is an independent risk factor for nodal disease and poor outcomes in endometrioid endometrial cancer. Gynecol Oncol 2012.

  • Avesani G, Bonatti M, Venkatesan AM, Nougaret S, Sala E. RadioGraphics Update: 2023 FIGO Staging System for Endometrial Cancer. Radiographics. 2024;44:e240084.

    Article 
    PubMed 

    Google Scholar
     

  • Sala E, Rockall A, Kubik-Huch RA. Advances in magnetic resonance imaging of endometrial cancer. Eur Radiol. 2011;21:468–73.

    Article 
    PubMed 

    Google Scholar
     

  • Nougaret S, Horta M, Sala E, Lakhman Y, Thomassin-Naggara I, Kido A, et al. Endometrial Cancer MRI staging: updated guidelines of the European Society of Urogenital Radiology. Eur Radiol. 2019;29:792–805.

    Article 
    PubMed 

    Google Scholar
     

  • Braun MM, Overbeek-Wager EA, Grumbo RJ. Diagnosis and management of Endometrial Cancer. Am Fam Physician. 2016;93:468–74.

    PubMed 

    Google Scholar
     

  • Di Donato V, Kontopantelis E, Cuccu I, Sgamba L, Golia D’Augè T, Pernazza A, et al. Magnetic resonance imaging-radiomics in endometrial cancer: a systematic review and meta-analysis. Int J Gynecol Cancer. 2023;33:1070–6.

    Article 
    PubMed 

    Google Scholar
     

  • D’Oria O, Giannini A, Besharat AR, Caserta D. Management of Endometrial Cancer: Molecular Identikit and tailored therapeutic Approach. CEOG 2023; 50.

  • Di Donato V, Giannini A, Bogani G. Recent advances in Endometrial Cancer Management. J Clin Med 2023; 12.

  • Lambin P, Rios-Velazquez E, Leijenaar R, Carvalho S, van Stiphout RG, Granton P, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer. 2012;48:441–6.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Aerts HJ, Velazquez ER, Leijenaar RT, Parmar C, Grossmann P, Carvalho S, et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014;5:4006.

    Article 
    CAS 
    PubMed 

    Google Scholar
     

  • Kickingereder P, Burth S, Wick A, Götz M, Eidel O, Schlemmer HP, et al. Radiomic Profiling of Glioblastoma: identifying an imaging predictor of patient survival with improved performance over established clinical and radiologic risk models. Radiology. 2016;280:880–9.

    Article 
    PubMed 

    Google Scholar
     

  • Antunes J, Viswanath S, Rusu M, Valls L, Hoimes C, Avril N, et al. Radiomics Analysis on FLT-PET/MRI for characterization of early treatment response in renal cell carcinoma: a proof-of-Concept Study. Transl Oncol. 2016;9:155–62.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Lee SH, Park H, Ko ES. Radiomics in breast imaging from techniques to clinical applications: a review. Korean J Radiol. 2020;21:779–92.

    Article 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Ytre-Hauge S, Dybvik JA, Lundervold A, Salvesen ØO, Krakstad C, Fasmer KE, et al. Preoperative tumor texture analysis on MRI predicts high-risk disease and reduced survival in endometrial cancer. J Magn Reson Imaging. 2018;48:1637–47.

    Article 
    PubMed 

    Google Scholar
     

  • Pecorelli S. Revised FIGO staging for carcinoma of the vulva, cervix, and endometrium. Int J Gynaecol Obstet. 2009;105:103–4.

    Article 
    PubMed 

    Google Scholar
     

  • Stålberg K, Bjurberg M, Borgfeldt C, Carlson J, Dahm-Kähler P, Flöter-Rådestad A, et al. Lymphovascular space invasion as a predictive factor for lymph node metastases and survival in endometrioid endometrial cancer – a Swedish Gynecologic Cancer Group (SweGCG) study. Acta Oncol. 2019;58:1628–33.

    Article 
    PubMed 

    Google Scholar
     

  • Zhang K, Zhang Y, Fang X, Dong J, Qian L. MRI-based radiomics and ADC values are related to recurrence of endometrial carcinoma: a preliminary analysis. BMC Cancer. 2021;21:1266.

    Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar
     

  • Bogani G, Chiappa V, Lopez S, Salvatore C, Interlenghi M, D’Oria O et al. Radiomics and Molecular classification in Endometrial Cancer (the ROME Study): a Step Forward to a simplified Precision Medicine. Healthc (Basel). 2022; 10.

  • Bonatti M, Stuefer J, Oberhofer N, Negri G, Tagliaferri T, Schifferle G, et al. MRI for local staging of endometrial carcinoma: is endovenous contrast medium administration still needed? Eur J Radiol. 2015;84:208–14.

    Article 
    PubMed 

    Google Scholar
     

  • Ueno Y, Forghani B, Forghani R, Dohan A, Zeng XZ, Chamming’s F, et al. Endometrial carcinoma: MR Imaging-based texture model for preoperative risk Stratification-A preliminary analysis. Radiology. 2017;284:748–57.

    Article 
    PubMed 

    Google Scholar
     

  • Luo Y, Mei D, Gong J, Zuo M, Guo X. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymphovascular Space Invasion in Endometrial Carcinoma. J Magn Reson Imaging. 2020;52:1257–62.

    Article 
    PubMed 

    Google Scholar
     

  • Long L, Sun J, Jiang L, Hu Y, Li L, Tan Y, et al. MRI-based traditional radiomics and computer-vision nomogram for predicting lymphovascular space invasion in endometrial carcinoma. Diagn Interv Imaging. 2021;102:455–62.

    Article 
    PubMed 

    Google Scholar
     

  • Ben-Shachar I, Pavelka J, Cohn DE, Copeland LJ, Ramirez N, Manolitsas T, et al. Surgical staging for patients presenting with grade 1 endometrial carcinoma. Obstet Gynecol. 2005;105:487–93.

    Article 
    PubMed 

    Google Scholar
     

  • Lefebvre TL, Ueno Y, Dohan A, Chatterjee A, Vallières M, Winter-Reinhold E, et al. Development and Validation of Multiparametric MRI-based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer. Radiology. 2022;305:375–86.

    Article 
    PubMed 

    Google Scholar
     

  • Miccò M, Gui B, Russo L, Boldrini L, Lenkowicz J, Cicogna S et al. Preoperative Tumor Texture Analysis on MRI for high-risk Disease Prediction in Endometrial Cancer: A Hypothesis-Generating Study. J Pers Med 2022; 12.

  • Mainenti PP, Stanzione A, Cuocolo R, Del Grosso R, Danzi R, Romeo V, et al. MRI radiomics: a machine learning approach for the risk stratification of endometrial cancer patients. Eur J Radiol. 2022;149:110226.

    Article 
    PubMed 

    Google Scholar
     

  • Celli V, Guerreri M, Pernazza A, Cuccu I, Palaia I, Tomao F et al. MRI- and histologic-molecular-based Radio-Genomics Nomogram for Preoperative Assessment of risk classes in Endometrial Cancer. Cancers (Basel) 2022; 14.

  • Lobo JM. AUC: a misleading measure of the performance of predictive distribution models. Global Ecol Biogeogr. 2010;17:145–51.

    Article 

    Google Scholar
     



  • Source link