Ovarian cancer: An update on imaging in the era of radiomics

被引：79

作者：

Nougaret, S. ^{[1
,7
]}

Tardieu, M. ^{[1
]}

Vargas, H. A. ^{[2
]}

Reinhold, C. ^{[3
]}

Vande Perre, S. ^{[4
]}

Bonanno, N. ^{[5
]}

Sala, E. ^{[6
]}

Thomassin-Naggara, I ^{[4
]}

机构：

[1] Montpellier Canc Res Inst, IRCM, F-34295 Montpellier, France

[2] Mem Sloan Kettering Canc Ctr, Dept Radiol, New York, NY 10065 USA

[3] McGill Univ, Dept Radiol, Hlth Ctr, Montreal, PQ, Canada

[4] Sorbonne Univ, Hop Tenon, AP HP, Dept Radiol,ISCD, F-75020 Paris, France

[5] Mater Dei Hosp, Med Imaging Dept, Msida, Malta

[6] Dept Radiol, Box 218,Cambridge Biomed Campus, Cambridge, England

[7] Univ Montpellier, Dept Radiol, Montpellier Canc Inst, INSERM,U1194, F-34295 Montpellier, France

来源：

DIAGNOSTIC AND INTERVENTIONAL IMAGING | 2019年 / 100卷 / 10期

关键词：

Ovarian cancer; Radiomics; Texture analysis; Genomics; Advanced imaging; CT TEXTURE ANALYSIS; GENE MUTATION CARRIERS; RENAL-CELL CARCINOMA; DNA-REPAIR DEFECT; TUMOR HETEROGENEITY; TISSUE CHARACTERIZATION; PROSTATE-CANCER; BRCA2; MUTATIONS; SURVIVAL; RADIOGENOMICS;

D O I：

10.1016/j.diii.2018.11.007

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Tumor heterogeneity in ovarian cancer has been reported at the histological and genetic levels and is associated with adverse clinical outcomes. Tumor evaluation using standard computed tomography or magnetic resonance imaging techniques does not account for the intraor inter-tumoral heterogeneity in advanced ovarian cancer with peritoneal carcinomatosis. As such, computational approaches in assessing tumor heterogeneity have been proposed using radiomics and radiogenomics in order to analyze the whole tumor heterogeneity as opposed to single biopsy sampling. As part of radiomics, texture analysis, which includes the extraction of multiple data from images has been proposed recently to evaluate advanced ovarian tumor heterogeneity. In this short review, we explain the basics of radiomics, how to perform texture analysis, and its applications to ovarian cancer imaging. (C) 2018 Societe francaise de radiologie. Published by Elsevier Masson SAS. All rights reserved.

引用

页码：647 / 655

页数：9

共 98 条

[1]

[Anonymous], INITIATIVE IBS

[2]

Artioli G, 2010, EUR J GYNAECOL ONCOL, V31, P658

[3] Distinct evolutionary trajectories of primary high-grade serous ovarian cancers revealed through spatial mutational profiling [J].

Bashashati, Ali ;

Ha, Gavin ;

Tone, Alicia ;

Ding, Jiarui ;

Prentice, Leah M. ;

Roth, Andrew ;

Rosner, Jamie ;

Shumansky, Karey ;

Kalloger, Steve ;

Senz, Janine ;

Yang, Winnie ;

McConechy, Melissa ;

Melnyk, Nataliya ;

Anglesio, Michael ;

Luk, Margaret T. Y. ;

Tse, Kane ;

Zeng, Thomas ;

Moore, Richard ;

Zhao, Yongjun ;

Marra, Marco A. ;

Gilks, Blake ;

Yip, Stephen ;

Huntsman, David G. ;

McAlpine, Jessica N. ;

Shah, Sohrab P. .

JOURNAL OF PATHOLOGY, 2013, 231 (01) :21-34

[4] Integrated genomic analyses of ovarian carcinoma [J].

Bell, D. ;

Berchuck, A. ;

Birrer, M. ;

Chien, J. ;

Cramer, D. W. ;

Dao, F. ;

Dhir, R. ;

DiSaia, P. ;

Gabra, H. ;

Glenn, P. ;

Godwin, A. K. ;

Gross, J. ;

Hartmann, L. ;

Huang, M. ;

Huntsman, D. G. ;

Iacocca, M. ;

Imielinski, M. ;

Kalloger, S. ;

Karlan, B. Y. ;

Levine, D. A. ;

Mills, G. B. ;

Morrison, C. ;

Mutch, D. ;

Olvera, N. ;

Orsulic, S. ;

Park, K. ;

Petrelli, N. ;

Rabeno, B. ;

Rader, J. S. ;

Sikic, B. I. ;

Smith-McCune, K. ;

Sood, A. K. ;

Bowtell, D. ;

Penny, R. ;

Testa, J. R. ;

Chang, K. ;

Dinh, H. H. ;

Drummond, J. A. ;

Fowler, G. ;

Gunaratne, P. ;

Hawes, A. C. ;

Kovar, C. L. ;

Lewis, L. R. ;

Morgan, M. B. ;

Newsham, I. F. ;

Santibanez, J. ;

Reid, J. G. ;

Trevino, L. R. ;

Wu, Y. -Q. ;

Wang, M. .

NATURE, 2011, 474 (7353) :609-615

[5] Radiomics of CT Features May Be Nonreproducible and Redundant: Influence of CT Acquisition Parameters [J].

Berenguer, Roberto ;

del Rosario Pastor-Juan, Maria ;

Canales-Vazquez, Jesus ;

Castro-Garcia, Miguel ;

Villas, Maria Victoria ;

Mansilla Legorburo, Francisco ;

Sabater, Sebastia .

RADIOLOGY, 2018, 288 (02) :407-415

[6] Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values [J].

Bonekamp, David ;

Kohl, Simon ;

Wiesenfarth, Manuel ;

Schelb, Patrick ;

Radtke, Jan Philipp ;

Goetz, Michael ;

Kickingereder, Philipp ;

Yaqubi, Kaneschka ;

Hitthaler, Bertram ;

Gaehlert, Nils ;

Kuder, Tristan Anselm ;

Deister, Fenja ;

Freitag, Martin ;

Hohenfellner, Markus ;

Hadaschik, Boris A. ;

Schlemmer, Heinz-Peter ;

Maier-Hein, Klaus H. .

RADIOLOGY, 2018, 289 (01) :128-137

[7] Clinicopathologic features of BRCA-linked and sporadic ovarian cancer [J].

Boyd, J ;

Sonoda, Y ;

Federici, MG ;

Bogomolniy, F ;

Rhei, E ;

Maresco, DL ;

Saigo, PE ;

Almadrones, LA ;

Barakat, RR ;

Brown, CL ;

Chi, DS ;

Curtin, JP ;

Poynor, EA ;

Hoskins, WJ .

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2000, 283 (17) :2260-2265

[8] New emerging drugs targeting the genomic integrity and replication machinery in ovarian cancer [J].

Bruening, Ansgar ;

Mylonas, Ioannis .

ARCHIVES OF GYNECOLOGY AND OBSTETRICS, 2011, 283 (05) :1087-1096

[9] Effect of BRCA1/2 mutations on long-term survival of patients with invasive ovarian cancer:: The national Israeli study of ovarian cancer [J].

Chetrit, Angela ;

Hirsh-Yechezkel, Galit ;

Ben-David, Yehuda ;

Lubin, Flora ;

Friedman, Eitan ;

Sadetzki, Siegal .

JOURNAL OF CLINICAL ONCOLOGY, 2008, 26 (01) :20-25

[10] Assessment of tumor heterogeneity: An emerging imaging tool for clinical practice? [J].

Davnall F. ;

Yip C.S.P. ;

Ljungqvist G. ;

Selmi M. ;

Ng F. ;

Sanghera B. ;

Ganeshan B. ;

Miles K.A. ;

Cook G.J. ;

Goh V. .

Insights into Imaging, 2012, 3 (6) :573-589

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