Radiomics systematic review in cervical cancer: gynecological oncologists' perspective

被引:11
作者
Bizzarri, Nicolo [1 ,4 ]
Russo, Luca [2 ]
Dolciami, Miriam [2 ]
Zormpas-Petridis, Konstantinos [2 ]
Boldrini, Luca [2 ]
Querleu, Denis [1 ]
Ferrandina, Gabriella [1 ,3 ]
Pedone Anchora, Luigi [1 ]
Gui, Benedetta [2 ]
Sala, Evis [2 ,3 ]
Scambia, Giovanni [1 ,3 ]
机构
[1] Fdn Policlin Univ Agostino Gemelli IRCCS, UOC Ginecol Oncolog, Dipartimento salute Donna & Bambino & Salute Pubbl, Rome, Italy
[2] Fdn Policlin Univ Agostino Gemelli IRCCS, Dept Bioimaging Radiat Oncol & Hematol, Rome, Italy
[3] Univ Cattolica Sacro Cuore, Rome, Italy
[4] Fdn Policlin Univ Agostino Gemelli IRCCS, UOC Ginecol Oncolog, Dipartimento salute Donna & Bambino & Salute Pubbl, I-00168 Rome, Italy
关键词
Cervical Cancer; Cervix Uteri; Lymphatic Metastasis; DISEASE-FREE SURVIVAL; IMAGING RADIOMICS; TEXTURE ANALYSIS; RECURRENCE; IMAGES; METASTASIS; PREDICTION; MRI; FEATURES; MODEL;
D O I
10.1136/ijgc-2023-004589
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
ObjectiveRadiomics is the process of extracting quantitative features from radiological images, and represents a relatively new field in gynecological cancers. Cervical cancer has been the most studied gynecological tumor for what concerns radiomics analysis. The aim of this study was to report on the clinical applications of radiomics combined and/or compared with clinical-pathological variables in patients with cervical cancer.MethodsA systematic review of the literature from inception to February 2023 was performed, including studies on cervical cancer analysing a predictive/prognostic radiomics model, which was combined and/or compared with a radiological or a clinical-pathological model.ResultsA total of 57 of 334 (17.1%) screened studies met inclusion criteria. The majority of studies used magnetic resonance imaging (MRI), but positron emission tomography (PET)/computed tomography (CT) scan, CT scan, and ultrasound scan also underwent radiomics analysis. In apparent early-stage disease, the majority of studies (16/27, 59.3%) analysed the role of radiomics signature in predicting lymph node metastasis; six (22.2%) investigated the prediction of radiomics to detect lymphovascular space involvement, one (3.7%) investigated depth of stromal infiltration, and one investigated (3.7%) parametrial infiltration. Survival prediction was evaluated both in early-stage and locally advanced settings. No study focused on the application of radiomics in metastatic or recurrent disease.ConclusionRadiomics signatures were predictive of pathological and oncological outcomes, particularly if combined with clinical variables. These may be integrated in a model using different clinical-pathological and translational characteristics, with the aim to tailor and personalize the treatment of each patient with cervical cancer.
引用
收藏
页码:1522 / 1541
页数:20
相关论文
共 89 条
  • [1] Cervical Cancer, Version 1.2020 Featured Updates to the NCCN Guidelines
    Abu-Rustum, Nadeem R.
    Yashar, Catheryn M.
    Bean, Sarah
    Bradley, Kristin
    Campos, Susana M.
    Chon, Hye Sook
    Chu, Christina
    Cohn, David
    Crispens, Marta Ann
    Damast, Shari
    Fisher, Christine M.
    Frederick, Peter
    Gaffney, David K.
    Giuntoli, Robert, II
    Han, Ernest
    Huh, Warner K.
    Lurain, John R., III
    Mariani, Andrea
    Mutch, David
    Nagel, Christa
    Nekhlyudov, Larissa
    Fader, Amanda Nickles
    Remmenga, Steven W.
    Reynolds, R. Kevin
    Sisodia, Rachel
    Tillmanns, Todd
    Ueda, Stefanie
    Urban, Renata
    Wyse, Emily
    McMillian, Nicole R.
    Motter, Angela D.
    [J]. JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK, 2020, 18 (06): : 661 - 666
  • [2] Imaging side effects and complications of chemotherapy and radiation therapy: a pictorial review from head to toe
    Albano, Domenico
    Benenati, Massimo
    Bruno, Antonio
    Bruno, Federico
    Calandri, Marco
    Caruso, Damiano
    Cozzi, Diletta
    De Robertis, Riccardo
    Gentili, Francesco
    Grazzini, Irene
    Micci, Giuseppe
    Palmisano, Anna
    Pessina, Carlotta
    Scalise, Paola
    Vernuccio, Federica
    Barile, Antonio
    Miele, Vittorio
    Grassi, Roberto
    Messina, Carmelo
    [J]. INSIGHTS INTO IMAGING, 2021, 12 (01)
  • [3] Revised FIGO staging for carcinoma of the cervix uteri
    Bhatla, Neerja
    Berek, Jonathan S.
    Cuello Fredes, Mauricio
    Denny, Lynette A.
    Grenman, Seija
    Karunaratne, Kanishka
    Kehoe, Sean T.
    Konishi, Ikuo
    Olawaiye, Alexander B.
    Prat, Jaime
    Sankaranarayanan, Rengaswamy
    [J]. INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS, 2019, 145 (01) : 129 - 135
  • [4] Radiomic models for lymph node metastasis prediction in cervical cancer: can we think beyond sentinel lymph node?
    Bizzarri, Nicolo
    Boldrini, Luca
    Ferrandina, Gabriella
    Fanfani, Francesco
    Anchora, Luigi Pedone
    Scambia, Giovanni
    Alletti, Salvatore Gueli
    [J]. TRANSLATIONAL ONCOLOGY, 2021, 14 (10):
  • [5] Integrated genomic and molecular characterization of cervical cancer
    Burk, Robert D.
    Chen, Zigui
    Saller, Charles
    Tarvin, Katherine
    Carvalho, Andre L.
    Scapulatempo-Neto, Cristovam
    Silveira, Henrique C.
    Fregnani, Jose H.
    Creighton, Chad J.
    Anderson, Matthew L.
    Castro, Patricia
    Wang, Sophia S.
    Yau, Christina
    Benz, Christopher
    Robertson, A. Gordon
    Mungall, Karen
    Lim, Lynette
    Bowlby, Reanne
    Sadeghi, Sara
    Brooks, Denise
    Sipahimalani, Payal
    Mar, Richard
    Ally, Adrian
    Clarke, Amanda
    Mungall, Andrew J.
    Tam, Angela
    Lee, Darlene
    Chuah, Eric
    Schein, Jacqueline E.
    Tse, Kane
    Kasaian, Katayoon
    Ma, Yussanne
    Marra, Marco A.
    Mayo, Michael
    Balasundaram, Miruna
    Thiessen, Nina
    Dhalla, Noreen
    Carlsen, Rebecca
    Moore, Richard A.
    Holt, Robert A.
    Jones, Steven J. M.
    Wong, Tina
    Pantazi, Angeliki
    Parfenov, Michael
    Kucherlapati, Raju
    Hadjipanayis, Angela
    Seidman, Jonathan
    Kucherlapati, Melanie
    Ren, Xiaojia
    Xu, Andrew W.
    [J]. NATURE, 2017, 543 (7645) : 378 - +
  • [6] MRI Radiomic Features: A Potential Biomarker for Progression-Free Survival Prediction of Patients With Locally Advanced Cervical Cancer Undergoing Surgery
    Cai, Mengting
    Yao, Fei
    Ding, Jie
    Zheng, Ruru
    Huang, Xiaowan
    Yang, Yunjun
    Lin, Feng
    Hu, Zhangyong
    [J]. FRONTIERS IN ONCOLOGY, 2021, 11
  • [7] Noninvasive CT radiomic model for preoperative prediction of lymph node metastasis in early cervical carcinoma
    Chen, Jiaming
    He, Bingxi
    Dong, Di
    Liu, Ping
    Duan, Hui
    Li, Weili
    Li, Pengfei
    Wang, Lu
    Fan, Huijian
    Wang, Siwen
    Zhang, Liwen
    Tian, Jie
    Huang, Zhipei
    Chen, Chunlin
    [J]. BRITISH JOURNAL OF RADIOLOGY, 2020, 93 (1108)
  • [8] Textural features of cervical cancers on FDG-PET/CT associate with survival and local relapse in patients treated with definitive chemoradiotherapy
    Chen, Shang-Wen
    Shen, Wei-Chih
    Hsieh, Te-Chun
    Liang, Ji-An
    Hung, Yao-Ching
    Yeh, Lian-Shung
    Chang, Wei-Chun
    Lin, Wu-Chou
    Yen, Kuo-Yang
    Kao, Chia-Hung
    [J]. SCIENTIFIC REPORTS, 2018, 8
  • [9] ESGO/ESTRO/ESP Guidelines for the management of patients with cervical cancer - Update 2023*
    Cibula, David
    Raspollini, Maria Rosaria
    Planchamp, Francois
    Centeno, Carlos
    Chargari, Cyrus
    Felix, Ana
    Fischerova, Daniela
    Jahnn-Kuch, Daniela
    Joly, Florence
    Kohler, Christhardt
    Lax, Sigurd
    Lorusso, Domenica
    Mahantshetty, Umesh
    Mathevet, Patrice
    Naik, Raj
    Nout, Remi A.
    Oaknin, Ana
    Peccatori, Fedro
    Persson, Jan
    Querleu, Denis
    Bernabe, Sandra Rubio
    Schmid, Maximilian P.
    Stepanyan, Artem
    Svintsitskyi, Valentyn
    Tamussino, Karl
    Zapardiel, Ignacio
    Lindegaard, Jacob
    [J]. INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER, 2023, 33 (05) : 649 - 666
  • [10] Early-stage intermediate-risk-the group with the most heterogenous management among patients with cervical cancer
    Cibula, David
    [J]. INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER, 2022, 32 (10) : 1227 - 1228