Literature DB >> 25430530

Radiomics and circulating tumor cells: personalized care in hepatocellular carcinoma?

Richard L Hesketh1, Andrew X Zhu, Rahmi Oklu.   

Abstract

Personalized care in oncology is expected to significantly improve morbidity and mortality, facilitated by our increasing understanding of the molecular mechanisms driving tumors and the ability to target those drivers. Hepatocellular carcinoma has a very high mortality to incidence ratio despite localized disease being curable, emphasizing the importance of early diagnosis. Radiomics, the use of imaging technology to extrapolate molecular tumor data, and the detection of circulating tumor cells (CTCs) are two new technologies that could be incorporated into the clinical setting with relative ease. Here we discuss the molecular mechanisms leading to the development of hepatocellular carcinoma focusing on the latest developments in liver magnetic resonance imaging, CTC, and radiomic technology and their potential to improve diagnosis, staging, and therapy.

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Year:  2015        PMID: 25430530      PMCID: PMC4463354          DOI: 10.5152/dir.2014.14237

Source DB:  PubMed          Journal:  Diagn Interv Radiol        ISSN: 1305-3825            Impact factor:   2.630


  47 in total

1.  beta-Catenin mutation and overexpression in hepatocellular carcinoma: clinicopathologic and prognostic significance.

Authors:  C M Wong; S T Fan; I O Ng
Journal:  Cancer       Date:  2001-07-01       Impact factor: 6.860

2.  Use of surveillance for hepatocellular carcinoma among patients with cirrhosis in the United States.

Authors:  Jessica A Davila; Robert O Morgan; Peter A Richardson; Xianglin L Du; Katherine A McGlynn; Hashem B El-Serag
Journal:  Hepatology       Date:  2010-07       Impact factor: 17.425

3.  Hepatitis B vaccination in children: the Taiwan experience.

Authors:  Y-H Ni; D-S Chen
Journal:  Pathol Biol (Paris)       Date:  2010-01-29

Review 4.  Mechanisms of HBV-related hepatocarcinogenesis.

Authors:  Christine Neuveut; Yu Wei; Marie Annick Buendia
Journal:  J Hepatol       Date:  2010-01-07       Impact factor: 25.083

Review 5.  The incidence and epidemiology of hepatocellular carcinoma: a global and regional perspective.

Authors:  Alan P Venook; Christos Papandreou; Junji Furuse; Laura Ladrón de Guevara
Journal:  Oncologist       Date:  2010

6.  Pinched flow coupled shear-modulated inertial microfluidics for high-throughput rare blood cell separation.

Authors:  Ali Asgar S Bhagat; Han Wei Hou; Leon D Li; Chwee Teck Lim; Jongyoon Han
Journal:  Lab Chip       Date:  2011-04-19       Impact factor: 6.799

7.  Isolation of circulating tumor cells in patients with hepatocellular carcinoma using a novel cell separation strategy.

Authors:  Wen Xu; Lu Cao; Lei Chen; Jing Li; Xiao-Feng Zhang; Hai-Hua Qian; Xiao-Yan Kang; Yu Zhang; Jian Liao; Le-Hua Shi; Ye-Fa Yang; Meng-Chao Wu; Zheng-Feng Yin
Journal:  Clin Cancer Res       Date:  2011-04-28       Impact factor: 12.531

8.  Sorafenib improves the survival of patients with advanced hepatocellular carcinoma: a meta-analysis of randomized trials.

Authors:  Tao Zhang; Xin Ding; Dong Wei; Peng Cheng; Xiaomei Su; Huanyi Liu; Daoyuan Wang; Hui Gao
Journal:  Anticancer Drugs       Date:  2010-03       Impact factor: 2.248

9.  Loss of miR-122 expression in liver cancer correlates with suppression of the hepatic phenotype and gain of metastatic properties.

Authors:  C Coulouarn; V M Factor; J B Andersen; M E Durkin; S S Thorgeirsson
Journal:  Oncogene       Date:  2009-07-20       Impact factor: 9.867

10.  Management of hepatocellular carcinoma: an update.

Authors:  Jordi Bruix; Morris Sherman
Journal:  Hepatology       Date:  2011-03       Impact factor: 17.425

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  7 in total

Review 1.  Novel Quantitative Imaging for Predicting Response to Therapy: Techniques and Clinical Applications.

Authors:  Kaustav Bera; Vamsidhar Velcheti; Anant Madabhushi
Journal:  Am Soc Clin Oncol Educ Book       Date:  2018-05-23

2.  Magnetic resonance imaging (MRI) radiomics of papillary thyroid cancer (PTC): a comparison of predictive performance of multiple classifiers modeling to identify cervical lymph node metastases before surgery.

Authors:  Hui Qin; Qiao Que; Peng Lin; Xin Li; Xin-Rong Wang; Yun He; Jun-Qiang Chen; Hong Yang
Journal:  Radiol Med       Date:  2021-07-08       Impact factor: 3.469

3.  CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis.

Authors:  Armin Eilaghi; Sameer Baig; Yucheng Zhang; Junjie Zhang; Paul Karanicolas; Steven Gallinger; Farzad Khalvati; Masoom A Haider
Journal:  BMC Med Imaging       Date:  2017-06-19       Impact factor: 1.930

4.  Potential Application of Radiomics for Differentiating Solitary Pulmonary Nodules.

Authors:  Kaikai Wei; Huifang Su; Guofeng Zhou; Rong Zhang; Peiqiang Cai; Yi Fan; Chuanmiao Xie; Baowei Fei; Zhenfeng Zhang
Journal:  OMICS J Radiol       Date:  2016-03-21

5.  Correlating Radiomic Features of Heterogeneity on CT with Circulating Tumor DNA in Metastatic Melanoma.

Authors:  Andrew B Gill; Leonardo Rundo; Jonathan C M Wan; Doreen Lau; Jeries P Zawaideh; Ramona Woitek; Fulvio Zaccagna; Lucian Beer; Davina Gale; Evis Sala; Dominique-Laurent Couturier; Pippa G Corrie; Nitzan Rosenfeld; Ferdia A Gallagher
Journal:  Cancers (Basel)       Date:  2020-11-24       Impact factor: 6.639

Review 6.  Deep Learning in Medical Imaging: General Overview.

Authors:  June-Goo Lee; Sanghoon Jun; Young-Won Cho; Hyunna Lee; Guk Bae Kim; Joon Beom Seo; Namkug Kim
Journal:  Korean J Radiol       Date:  2017-05-19       Impact factor: 3.500

7.  Discovery and Validation of a CT-Based Radiomic Signature for Preoperative Prediction of Early Recurrence in Hypopharyngeal Carcinoma.

Authors:  Wenming Li; Dongmin Wei; Aihemaiti Wushouer; Shengda Cao; Tongtong Zhao; Dexin Yu; Dapeng Lei
Journal:  Biomed Res Int       Date:  2020-08-08       Impact factor: 3.411

  7 in total

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