Gamboa AC, Gronchi A, Cardona K. Soft-tissue sarcoma in adults: an update on the current state of histiotype-specific management in an era of personalized medicine. CA Cancer J Clin. 2020;70(3):200–29.
Improta L, Tzanis D, Bouhadiba T, Abdelhafidh K, Bonvalot S. Overview of primary adult retroperitoneal tumours. Eur J Surg Oncol. 2020;46(9):1573–9.
Ishii T, Kohashi K, Ootsuka H, Iura K, Maekawa A, Yamada Y, et al. Comparison between retroperitoneal leiomyosarcoma and dedifferentiated liposarcoma. Pathol Res Pract. 2017;213(6):634–8.
Article CAS PubMed Google Scholar
Marko J, Wolfman DJ. Retroperitoneal Leiomyosarcoma from the Radiologic Pathology Archives. Radiographics. 2018;38(5):1403–20.
Tan MC, Brennan MF, Kuk D, Agaram NP, Antonescu CR, Qin LX, et al. Histology-based classification predicts pattern of recurrence and improves risk stratification in primary Retroperitoneal Sarcoma. Ann Surg. 2016;263(3):593–600.
Xu J, Guo J, Yang HQ, Ji QL, Song RJ, Hou F et al. Preoperative contrast-enhanced CT-based radiomics nomogram for differentiating benign and malignant primary retroperitoneal tumors. Eur Radiol, 2023.
Devaud N, Vornicova O, Abdul Razak AR, Khalili K, Demicco EG, Mitric C, et al. Leiomyosarcoma: current Clinical Management and Future Horizons. Surg Oncol Clin N Am. 2022;31(3):527–46.
Kannan S, Chong HH, Chew B, Ferguson JD, Galloway E, McCulloch T, et al. Leiomyosarcoma in the extremities and trunk wall: systematic review and meta-analysis of the oncological outcomes. World J Surg Oncol. 2022;20(1):124.
Article PubMed PubMed Central Google Scholar
Li X, Dong R, Xiao M, Min L, Luo C. Neoadjuvant radiotherapy for resectable retroperitoneal sarcoma: a meta-analysis. Radiat Oncol. 2022;17(1):215.
Article PubMed PubMed Central Google Scholar
Harris JC, Eide JG, Kshirsagar RS, Brant JA, Palmer JN, Adappa ND. Carcinosarcoma of the nasal cavity and paranasal sinuses: review of the national cancer database. World J Otorhinolaryngol Head Neck Surg. 2023;9(2):115–22.
Callegaro D, Miceli R, Mariani L, Raut CP, Gronchi A. Soft tissue sarcoma nomograms and their incorporation into practice. Cancer. 2017;123(15):2802–20.
Callegaro D, Barretta F, Swallow CJ, Strauss DC, Bonvalot S, Honorè C, et al. Longitudinal prognostication in retroperitoneal sarcoma survivors: development and external validation of two dynamic nomograms. Eur J Cancer. 2021;157:291–300.
von Mehren M, Kane JM, Agulnik M, Bui MM, Carr-Ascher J, Choy E, et al. Soft tissue sarcoma, Version 2.2022, NCCN Clinical Practice guidelines in Oncology. J Natl Compr Canc Netw. 2022;20(7):815–33.
Liu S, Sun W, Yang S, Duan L, Huang C, Xu J, et al. Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study. Eur Radiol. 2022;32(2):793–805.
Italiano A, Le Cesne A, Mendiboure J, Blay JY, Piperno-Neumann S, Chevreau C, et al. Prognostic factors and impact of adjuvant treatments on local and metastatic relapse of soft-tissue sarcoma patients in the competing risks setting. Cancer. 2014;120(21):3361–9.
Zhu Z, Zhao X, Zhao Y, Yang L, Zhao J, Dai J, et al. Evaluation of CT findings for the differentiation of benign from malignant primary retroperitoneal tumors. Chin Med J (Engl). 2014;127(1):114–9.
Bera K, Braman N, Gupta A, Velcheti V, Madabhushi A. Predicting cancer outcomes with radiomics and artificial intelligence in radiology. Nat Rev Clin Oncol. 2022;19(2):132–46.
Article CAS PubMed Google Scholar
Guiot J, Vaidyanathan A, Deprez L, Zerka F, Danthine D, Frix AN, et al. A review in radiomics: making personalized medicine a reality via routine imaging. Med Res Rev. 2022;42(1):426–40.
Kermany DS, Goldbaum M, Cai W, Valentim CCS, Liang H, Baxter SL, et al. Identifying Medical diagnoses and Treatable diseases by Image-based deep learning. Cell. 2018;172(5):1122–e11319.
Article CAS PubMed Google Scholar
van der Velden BHM, Kuijf HJ, Gilhuijs KGA, Viergever MA. Explainable artificial intelligence (XAI) in deep learning-based medical image analysis. Med Image Anal. 2022;79:102470.
Liu X, Zhang D, Liu Z, Li Z, Xie P, Sun K, et al. Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: a multicentre study. EBioMedicine. 2021;69:103442.
Article PubMed PubMed Central Google Scholar
Liang HY, Yang SF, Zou HM, Hou F, Duan LS, Huang CC, et al. Deep learning Radiomics Nomogram to predict lung metastasis in soft-tissue sarcoma: a Multi-center Study. Front Oncol. 2022;12:897676.
Article PubMed PubMed Central Google Scholar
Strauss DC, Hayes AJ, Thway K, Moskovic EC, Fisher C, Thomas JM. Surgical management of primary retroperitoneal sarcoma. Br J Surg. 2010;97(5):698–706.
Article CAS PubMed Google Scholar
Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74.
Article CAS PubMed Google Scholar
Amin MB, Greene FL, Edge SB, Compton CC, Gershenwald JE, Brookland RK, et al. The Eighth Edition AJCC Cancer staging Manual: continuing to build a bridge from a population-based to a more personalized approach to cancer staging. CA Cancer J Clin. 2017;67(2):93–9.
Orlhac F, Frouin F, Nioche C, Ayache N, Buvat I. Validation of a method to compensate Multicenter effects affecting CT Radiomics. Radiology. 2019;291(1):53–9.
Orlhac F, Lecler A, Savatovski J, Goya-Outi J, Nioche C, Charbonneau F, et al. How can we combat multicenter variability in MR radiomics? Validation of a correction procedure. Eur Radiol. 2021;31(4):2272–80.
Wang T, Hao J, Gao A, Zhang P, Wang H, Nie P, et al. An MRI-Based Radiomics Nomogram to assess recurrence risk in Sinonasal Malignant tumors. J Magn Reson Imaging. 2023;58(2):520–31.
Zhang X, Jiang L, Yang D, Yan J, Lu X. Urine sediment Recognition Method based on Multi-view Deep residual learning in microscopic image. J Med Syst. 2019;43(11):325.
Nessim C, Raut CP, Callegaro D, Barretta F, Miceli R, Fairweather M, et al. Analysis of differentiation changes and outcomes at Time of First Recurrence of Retroperitoneal Liposarcoma by Transatlantic Australasian Retroperitoneal Sarcoma Working Group (TARPSWG). Ann Surg Oncol. 2021;28(12):7854–63.
Takatsu F, Yamamoto H, Tomioka Y, Tanaka S, Shien K, Suzawa K, et al. Survival and prognostic factors in patients undergoing pulmonary metastasectomy for lung metastases from retroperitoneal sarcoma. World J Surg Oncol. 2022;20(1):114.
Article PubMed PubMed Central Google Scholar
Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures. They Are Data Radiol. 2016;278(2):563–77.
Cui E, Li Z, Ma C, Li Q, Lei Y, Lan Y, et al. Predicting the ISUP grade of clear cell renal cell carcinoma with multiparametric MR and multiphase CT radiomics. Eur Radiol. 2020;30(5):2912–21.
Ni XQ, Yin HK, Fan GH, Shi D, Xu L, Jin D. Differentiation of pulmonary sclerosing pneumocytoma from solid malignant pulmonary nodules by radiomic analysis on multiphasic CT. J Appl Clin Med Phys. 2021;22(2):158–64.
Song H, Yang S, Yu B, Li N, Huang Y, Sun R, et al. CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study. Cancer Imaging. 2023;23(1):89.
Article PubMed PubMed Central Google Scholar
Mazin A, Hawkins SH, Stringfield O, Dhillon J, Manley BJ, Jeong DK, et al. Identification of sarcomatoid differentiation in renal cell carcinoma by machine learning on multiparametric MRI. Sci Rep. 2021;11(1):3785.
Article CAS PubMed PubMed Central Google Scholar
Kundu R, Singh PK, Mirjalili S, Sarkar R. COVID-19 detection from lung CT-Scans using a fuzzy integral-based CNN ensemble. Comput Biol Med. 2021;138:104895.
Article CAS PubMed PubMed Central Google Scholar
Keung EZ, Chiang YJ, Cormier JN, Torres KE, Hunt KK, Feig BW, et al. Treatment at low-volume hospitals is associated with reduced short-term and long-term outcomes for patients with retroperitoneal sarcoma. Cancer. 2018;124(23):4495–503.
Bonvalot S, Gaignard E, Stoeckle E, Meeus P, Decanter G, Carrere S, et al. Survival Benefit of the Surgical Management of Retroperitoneal Sarcoma in a Reference Center: a nationwide study of the French Sarcoma Group from the NetSarc Database. Ann Surg Oncol. 2019;26(7):2286–93.
留言 (0)