Deep learning radiomics-based prediction model of metachronous distant metastasis following curative resection for retroperitoneal leiomyosarcoma: a bicentric study

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  PubMed  Google Scholar 

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.

Article  CAS  PubMed  Google Scholar 

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