Radiogenomic Analysis to Identify Imaging Phenotypes Associated with Drug Response Gene Expression Programs in Hepatocellular Carcinoma
Open accessAbstract
Purpose To determine whether conventional contrast-enhanced computed tomography (CT) could be used to identify imaging phenotypes associated with a doxorubicin drug response gene expression program in hepatocellular carcinoma (HCC) by using an integrated imaging-genomic approach.Materials and methods Thirty HCCs were analyzed and scored individually across six predefined imaging phenotypes. Unsupervised and supervised bioinformatics analyses were performed to correlate the imaging scores with the corresponding tumor microarray data (each microarray contained gene expression measurements across approximately 18,000 genes) to identify relationships between the imaging traits and underlying tumor gene expression. Enrichment for a predefined doxorubicin-response gene expression program was then performed against the imaging phenotype-associated genes and enrichment determined.Results An imaging phenotype related to tumor margins on arterial phase images demonstrated significant correlation with the doxorubicin-response transcriptional program (P < .05, q < 0.1). It was also significantly associated with HCC venous invasion and tumor stage (P < .05, q < 0.1). Tumors with higher tumor margin scores were more strongly associated with the doxorubicin resistance transcriptional program and had a greater prevalence of venous invasion and worse stage. Tumors with lower tumor margin scores, however, demonstrated a converse relationship.Conclusions It is possible to identify HCC imaging phenotypes at CT that correlate with a doxorubicin drug response gene expression program. Given the role of doxorubicin in regional therapies for HCC management, it is possible that such an approach could be used to guide HCC therapy on a tumor-by-tumor basis on the basis of underlying tumor gene expression patterns.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Seminal radiogenomic studies were the first to show a relationship between quantitative image features and gene expression patterns in patients with cancer.
“Seminal radiogenomic studies were the first to show a relationship between quantitative image features and gene expression patterns in patients with cancer (40,54,55).”
From Radiomics: Images Are More than Pictures, They Are Data (2016) · cites this paper as [55]
Kuo et al identified hepatocellular carcinoma imaging phenotypes that correlated with a doxorubicin drug response gene expression program.
“In a seminal study, Kuo et al identified hepatocellular carcinoma imaging phenotypes that correlated with a doxorubicin drug response gene expression program (55).”
From Radiomics: Images Are More than Pictures, They Are Data (2016) · cites this paper as [55]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
Molecular portraits of human breast tumours
Perou, C., Sørlie, T., Eisen, M., van de Rijn, M., Jeffrey, S., Rees, C. A., Pollack, J., Ross, D., Johnsen, H., Akslen, L., et al. (2000) · Nature · doi:10.1038/35021093 · Cited by 16,551 · see citing works
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 12,617 · see citing works
Golub, T. R., Slonim, D. K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J. P., Coller, H., Loh, M. L., Downing, J. R., Caligiuri, M. A., et al. (1999) · Science · doi:10.1126/science.286.5439.531 · Cited by 11,516 · see citing works
In silico prediction of protein-protein interactions in human macrophages
Souiai, O., Guerfali, F. Z., Miled, S. B., Brun, C., & Benkahla, A. (2014) · BMC Research Notes · doi:10.1186/1756-0500-7-157 · Cited by 10,785 · see citing works
Significance analysis of microarrays applied to the ionizing radiation response
Tusher, V. G., Tibshirani, R., & Chu, G. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.091062498 · Cited by 10,568 · see citing works
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
Alizadeh, A. A., Eisen, M. B., Davis, R. E., Ma, C., Lossos, I. S., Rosenwald, A., Boldrick, J. C., Sabet, H., Tran, T., Yu, X., et al. (2000) · Nature · doi:10.1038/35000501 · Cited by 9,925 · see citing works
Quantitative Monitoring of Gene Expression Patterns with a Complementary DNA Microarray
Schena, M., Shalon, D., Davis, R. W., & Brown, P. O. (1995) · Science · doi:10.1126/science.270.5235.467 · Cited by 9,609 · see citing works
<i>EGFR</i> Mutations in Lung Cancer: Correlation with Clinical Response to Gefitinib Therapy
Paez, J. G., Jänne, P. A., Lee, J. C., Tracy, S., Greulich, H., Gabriel, S., Herman, P., Kaye, F. J., Lindeman, N., Boggon, T. J., et al. (2004) · Science · doi:10.1126/science.1099314 · Cited by 9,368 · see citing works
Multidrug resistance in cancer: role of ATP–dependent transporters
Gottesman, M. M., Fojo, T., & Bates, S. E. (2002) · Nature Reviews Cancer · doi:10.1038/nrc706 · Cited by 5,536 · see citing works
Exploring the metabolic and genetic control of gene expression on a genomic scale.
Derisi, J., Iyer, V., & Brown, P. (1997) · Science · doi:10.1126/science.278.5338.680 · Cited by 4,832 · see citing works
Llovet, J. M., Real, M. I., Montañá, X., Planas, R., Coll, S., Aponte, J. Á. N., Ayuso, C., Sala, M., Muchart, J., Sola, R. L., et al. (2002) · The Lancet · doi:10.1016/s0140-6736(02)08649-x · Cited by 3,490 · see citing works
Lo, C., Ngan, H., Tso, W., Liu, C., Lam, C., Poon, R. T. P., Fan, S.-T., & Wong, J. (2002) · Hepatology · doi:10.1053/jhep.2002.33156 · Cited by 2,609 · see citing works
Prediction of central nervous system embryonal tumour outcome based on gene expression
Pomeroy, S. L., Tamayo, P., Gaasenbeek, M., Sturla, L. M., Angelo, M., McLaughlin, M. E., Kim, J. Y. H., Goumnerova, L. C., Black, P. M., Lau, C. C., et al. (2002) · Nature · doi:10.1038/415436a · Cited by 2,369 · see citing works
Molecular determinants of the response of glioblastomas to EGFR kinase inhibitors
Mellinghoff, I. K., Wang, M. Y., Vivanco, I., Haas-Kogan, D. A., Zhu, S., Dia, E. Q., Lu, K. V., Yoshimoto, K., Huang, J. H. Y., Chute, D. J., et al. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa051918 · Cited by 1,442 · see citing works
Gene expression profiling identifies clinically relevant subtypes of prostate cancer
Lapointe, J., Li, C., Higgins, J., van de Rijn, M., Bair, E., Montgomery, K. D., Ferrari, M. K., Egevad, L., Rayford, W., Bergerheim, U. S. R., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0304146101 · Cited by 1,292 · see citing works
Expression of Multidrug Resistance Gene in Human Cancers
Goldstein, L. J., Galski, H., Fojo, A. T., Willingham, M. C., Lai, S.-L., Gazdar, A. F., Pirker, R., Green, A., Crist, W., Brodeur, G. M., et al. (1989) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/81.2.116 · Cited by 1,290 · see citing works
Edwards, B. K., Brown, M. L., Wingo, P. A., Howe, H. L., Ward, E., Ries, L. A. G., Schrag, D., Jamison, P. M., Jemal, A., Wu, X. C., et al. (2005) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/dji289 · Cited by 952 · see citing works
Classification and prediction of survival in hepatocellular carcinoma by gene expression profiling
Lee, J., Chu, I., Heo, J., Calvisi, D. F., Sun, Z., Roskams, T., Durnez, A., Demetris, A. J., & Thorgeirsson, S. S. (2004) · Hepatology · doi:10.1002/hep.20375 · Cited by 922 · see citing works
Gene Expression Patterns in Human Liver Cancers
Chen, X., Cheung, S., So, S. K., Fan, S. T., Barry, C. T., Higgins, J., Lai, K.-M., Ji, J., Dudoit, S., Ng, I. O., et al. (2002) · Molecular Biology of the Cell · doi:10.1091/mbc.02-02-0023 · Cited by 879 · see citing works
Self-citationChang, J. C., Wooten, E. C., Tsimelzon, A. I., Hilsenbeck, S. G., Gutierrez, M. C., Elledge, R. M., Mohsin, S. K., Osborne, C. K., Chamness, G. C., Allred, D. C., et al. (2003) · The Lancet · doi:10.1016/s0140-6736(03)14023-8 · Cited by 875 · see citing works
Chemosensitivity prediction by transcriptional profiling
Staunton, J. E., Slonim, D. K., Coller, H. A., Tamayo, P., Angelo, M., Park, J., Scherf, U., Lee, J. K., Reinhold, W. C., Weinstein, J. N., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.191368598 · Cited by 684 · see citing works
de Haar-Holleman, A., Cheok, M. H.-C., den Boer, M. L., Yang, W., Veerman, A. J. P., Kazemier, K. M., Pei, D., Cheng, C., Pui, C., Relling, M. V., et al. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa033513 · Cited by 629 · see citing works
Kang, H. C., Kim, I.-J., Park, J., Shin, Y., Ku, J., Jung, M. S., Yoo, B. C., Kim, H. K., & Park, J. (2004) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-1025-3 · Cited by 190 · see citing works
Cell-Type-Specific Responses to Chemotherapeutics in Breast Cancer
Troester, M. A., Hoadley, K. A., Sørlie, T., Herbert, B., Børresen‐Dale, A., Lønning, P. E., Shay, J. W., Kaufmann, W. K., & Perou, C. M. (2004) · Cancer Research · doi:10.1158/0008-5472.can-04-0107 · Cited by 179 · see citing works
Győrffy, B., Surowiak, P., Kiesslich, O., Denkert, C., Schäfer, R., Dietel, M., & Lage, H. (2005) · International Journal of Cancer · doi:10.1002/ijc.21570 · Cited by 155 · see citing works
Iizuka, N., Oka, M., Yamada‐Okabe, H., Mori, N., Tamesa, T., Okada, T., Takemoto, N., 橋本, 毅., Tangoku, A., Hamada, K., et al. (2003) · Oncogene · doi:10.1038/sj.onc.1206401 · Cited by 85 · see citing works
Győrffy, B., Serra, V., Jürchott, K., Abdul‐Ghani, R., Garber, M., Stein, U., Petersen, I., Lage, H., Dietel, M., & Schäfer, R. (2005) · Oncogene · doi:10.1038/sj.onc.1208908 · Cited by 72 · see citing works
Overexpression of p53 in hepatocellular carcinomas: A clinicopathological and prognostic correlation
Ng, I. O., Lai, E. C. S., Chan, A. S. Y., & So, M. K. P. (1995) · Journal of Gastroenterology and Hepatology · doi:10.1111/j.1440-1746.1995.tb01089.x · Cited by 44 · see citing works
High-throughput Biology in the Postgenomic Era
Hsiao, A., & Kuo, M. D. (2006) · Journal of Vascular and Interventional Radiology · doi:10.1097/01.rvi.0000228840.12260.ff · Cited by 12 · see citing works
Self-citationExploring the Human Genome in Cancer with Genomic Approaches
Scheel, J. R., & Kuo, M. D. (2006) · Journal of Vascular and Interventional Radiology · doi:10.1097/01.rvi.0000232498.25928.a1 · Cited by 7 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- Scheel JR, Kuo MD. Exploring the hu- man genome in cancer using genomic approaches. J Vasc Interv Radiol 2006; 17:1225-1233.
- Eisen MB, Spellman PT, Brown PO, Botstein D. Cluster analysis and dis- play of genome-wide expression pat- terns. Proc Natl Acad Sci U S A 1998; 95:14863-14868.
Cited by
Sorted by citations
Radiomics: Images Are More than Pictures, They Are Data
Gillies, R. J., Kinahan, P. E., & Hricak, H. (2016) · Radiology · doi:10.1148/radiol.2015151169 · Cited by 8,421 · see citing works
Radiomics: extracting more information from medical images using advanced feature analysis
Lambin, P., Rios-Velazquez, E., Leijenaar, R., Carvalho, S., van Stiphout, R. G. P. M., Granton, P., Zegers, C. M. L., Gillies, R., Boellard, R., Dekker, A., et al. (2012) · European Journal of Cancer · doi:10.1016/j.ejca.2011.11.036 · Cited by 6,084 · see citing works
Huang, Y., Liang, C., He, L., Tian, J., Liang, C., Chen, X., Ma, Z., & Liu, Z. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2015.65.9128 · Cited by 1,745 · see citing works
Self-citationHuang, Y., Liu, Z., He, L., Chen, X., Pan, D., Ma, Z., Liang, C., Tian, J., & Liang, C. (2016) · Radiology · doi:10.1148/radiol.2016152234 · Cited by 741 · see citing works
Self-citationIntrinsic dependencies of CT radiomic features on voxel size and number of gray levels
Shafiq‐ul‐Hassan, M., Zhang, G. G., Latifi, K., Ullah, G., Hunt, D., Balagurunathan, Y., Abdalah, M. A., Schabath, M. B., Goldgof, D. B., Mackin, D., et al. (2017) · Medical Physics · doi:10.1002/mp.12123 · Cited by 587 · see citing works
Reproducibility of radiomics for deciphering tumor phenotype with imaging
Zhao, B., Tan, Y., Tsai, W., Qi, J., Xie, C., Lü, L., & Schwartz, L. H. (2016) · Scientific Reports · doi:10.1038/srep23428 · Cited by 509 · see citing works
Beyond imaging: The promise of radiomics
Avanzo, M., Stancanello, J., & Naqa, I. E. (2017) · Physica Medica · doi:10.1016/j.ejmp.2017.05.071 · Cited by 489 · see citing works
Predicting outcomes in radiation oncology—multifactorial decision support systems
Lambin, P., van Stiphout, R. G. P. M., Starmans, M. H. W., Velazquez, E. R., Nalbantov, G. I., Aerts, H. J. W. L., Roelofs, E., van Elmpt, W., Boutros, P. C., Granone, P. M., et al. (2012) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2012.196 · Cited by 396 · see citing works
Gevaert, O., Xu, J., Hoang, C. D., Leung, A. N. C., Xu, Y., Quon, A. S. W., Rubin, D. L., Napel, S. A., & Plevritis, S. K. (2012) · Radiology · doi:10.1148/radiol.12111607 · Cited by 395 · see citing works
Sala, E., Mema, E., Himoto, Y., Veeraraghavan, H., Brenton, J. D., Snyder, A., Weigelt, B., & Vargas, H. A. (2016) · Clinical Radiology · doi:10.1016/j.crad.2016.09.013 · Cited by 369 · see citing works
Radiogenomics: Creating a link between molecular diagnostics and diagnostic imaging
Rutman, A. M., & Kuo, M. (2009) · European Journal of Radiology · doi:10.1016/j.ejrad.2009.01.050 · Cited by 314 · see citing works
Self-citationRadiogenomics: bridging imaging and genomics
Bodalal, Z., Trebeschi, S., Nguyen-Kim, T. D. L., Schats, W., & Beets-Tan, R. (2019) · Abdominal Radiology · doi:10.1007/s00261-019-02028-w · Cited by 310 · see citing works
Radiogenomics: What It Is and Why It Is Important
Mazurowski, M. A. (2015) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2015.04.019 · Cited by 289 · see citing works
Park, H., Lim, Y., Ko, E. S., Cho, H.-H., Lee, J. E., Han, B., Ko, E. Y., Choi, J. S., & Park, K. W. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-17-3783 · Cited by 243 · see citing works
Kuo, M. D., & Jamshidi, N. (2014) · Radiology · doi:10.1148/radiol.13132195 · Cited by 238 · see citing works
Self-citationHu, H.-T., Wang, Z., Huang, X.-W., Chen, S., Zheng, X., Ruan, S., Xie, X., Lu, M., Yu, J., Tian, J., et al. (2018) · European Radiology · doi:10.1007/s00330-018-5797-0 · Cited by 190 · see citing works
Jiang, Y., Chen, C., Xie, J., Wang, W., Zha, X., Lv, W., Chen, H., Hu, Y., Li, T., Yu, J., et al. (2018) · EBioMedicine · doi:10.1016/j.ebiom.2018.09.007 · Cited by 184 · see citing works
Peng, J., Zhang, J., Zhang, Q., Xu, Y., Zhou, J., & Liu, L. (2018) · Diagnostic and Interventional Radiology · doi:10.5152/dir.2018.17467 · Cited by 179 · see citing works
Radiogenomic Analysis of Breast Cancer Using MRI: A Preliminary Study to Define the Landscape
Yamamoto, S., Maki, D. D., Korn, R. L., & Kuo, M. (2012) · American Journal of Roentgenology · doi:10.2214/ajr.11.7824 · Cited by 174 · see citing works
Self-citationALKMolecular Phenotype in Non–Small Cell Lung Cancer: CT Radiogenomic Characterization
Yamamoto, S., Korn, R. L., Öklü, R., Migdal, C., Gotway, M. B., Weiss, G. J., Iafrate, A. J., Kim, D., & Kuo, M. (2014) · Radiology · doi:10.1148/radiol.14140789 · Cited by 159 · see citing works
Self-citationDecision support systems for personalized and participative radiation oncology
Lambin, P., Zindler, J. D., Vanneste, B. G. L., Voorde, L. V. D., Eekers, D. B. P., Compter, I., Panth, K. M., Peerlings, J., Larue, R. T. H. M., Deist, T. M., et al. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2016.01.006 · Cited by 154 · see citing works
Joint EANM/SNMMI guideline on radiomics in nuclear medicine
Hatt, M., Krizsan, A. K., Rahmim, A., Bradshaw, T., Costa, P. F., Forgács, A., Seifert, R., Zwanenburg, A., Naqa, I. E., Kinahan, P. E., et al. (2022) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-022-06001-6 · Cited by 156 · see citing works
Ashraf, A. B., Daye, D., Gavenonis, S. C., Mies, C., Feldman, M. D., Rosen, M. A., & Despina Kontos, B. (2014) · Radiology · doi:10.1148/radiol.14131375 · Cited by 151 · see citing works
Zheng, B.-H., Liu, L., Zhang, Z.-Z., Shi, J.-Y., Dong, L., Tian, L., Ding, Z., Ji, Y., Rao, S., Zhou, J., et al. (2018) · BMC Cancer · doi:10.1186/s12885-018-5024-z · Cited by 148 · see citing works
Systematic review: radiomics for the diagnosis and prognosis of hepatocellular carcinoma
Harding-Theobald, E. R., Louissaint, J., Maraj, B., Cuaresma, E., Townsend, W. A., Mendiratta‐Lala, M., Singal, A. G., Su, G. L., Lok, A. S.-F., & Parikh, N. D. (2021) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.16563 · Cited by 147 · see citing works
Artificial intelligence in diagnostic and interventional radiology: Where are we now?
Boeken, T., Feydy, J., Lecler, A., Soyer, P. A., Feydy, A., Barat, M., & Duron, L. (2022) · Diagnostic and Interventional Imaging · doi:10.1016/j.diii.2022.11.004 · Cited by 149 · see citing works
Shui, L., Ren, H., Yang, X., Li, J., Chen, Z., Cheng, Y., Zhu, H., & Shui, P. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2020.570465 · Cited by 141 · see citing works
Kong, C., Zhao, Z., Chen, W., Lv, X., Shu, G., Ye, M., Song, J., Ying, X., Weng, Q., Weng, W., et al. (2021) · European Radiology · doi:10.1007/s00330-021-07910-0 · Cited by 143 · see citing works
Panth, K. M., Leijenaar, R. T. H., Carvalho, S., Lieuwes, N. G., Yaromina, A., Dubois, L., & Lambin, P. (2015) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2015.06.013 · Cited by 133 · see citing works
Radiogenomic Analysis of Oncological Data: A Technical Survey
Incoronato, M., Aiello, M., Infante, T., Cavaliere, C., Grimaldi, A., Mirabelli, P., Monti, S., & Salvatore, M. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18040805 · Cited by 136 · see citing works
Fluorescent imaging of cancerous tissues for targeted surgery
Bu, L., Shen, B., & Cheng, Z. (2014) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2014.07.008 · Cited by 135 · see citing works
Exploring Variability in CT Characterization of Tumors: A Preliminary Phantom Study
Zhao, B., Tan, Y., Tsai, W. Y., Schwartz, L. H., & Lü, L. (2014) · Translational Oncology · doi:10.1593/tlo.13865 · Cited by 133 · see citing works
Radiomics in hepatocellular carcinoma: a quantitative review
Wakabayashi, T., Ouhmich, F., Gonzalez-Cabrera, C., Felli, E., Saviano, A., Agnus, V., Savadjiev, P., Baumert, T. F., Pessaux, P., Marescaux, J., et al. (2019) · Hepatology International · doi:10.1007/s12072-019-09973-0 · Cited by 134 · see citing works
Ellingson, B. M. (2015) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-014-0506-0 · Cited by 132 · see citing works
Jamshidi, N., Diehn, M., Bredel, M., & Kuo, M. (2013) · Radiology · doi:10.1148/radiol.13130078 · Cited by 131 · see citing works
Self-citationWei, J., Yang, G., Hao, X., Gu, D., Tan, Y. Q., Wang, X., Dong, D., Zhang, S., Wang, L., Zhang, H., et al. (2018) · European Radiology · doi:10.1007/s00330-018-5575-z · Cited by 131 · see citing works
Permuth, J. B., Collaborative, T. F. P., Choi, J., Balarunathan, Y., Kim, J., Chen, D.-T., Chen, L., Orcutt, S., Doepker, M. P., Gage, K., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.11768 · Cited by 127 · see citing works
Luo, W., Huang, Q.-X., Huang, X.-W., Hu, H.-T., Zeng, F.-Q., & Wang, W. (2019) · Scientific Reports · doi:10.1038/s41598-019-48488-4 · Cited by 127 · see citing works
Yamamoto, S., Han, W., Kim, Y., Du, L., Jamshidi, N., Huang, D., Kim, J. H., & Kuo, M. (2015) · Radiology · doi:10.1148/radiol.15142698 · Cited by 120 · see citing works
Self-citationZhang, Z., Jiang, H., Chen, J., Wei, Y., Cao, L., Ye, Z., Li, X., Ma, L., & Song, B. (2019) · Cancer Imaging · doi:10.1186/s40644-019-0209-5 · Cited by 119 · see citing works
Tam, A. L., Lim, H. J., Wistuba, I. I., Tamrazi, A., Kuo, M. D., Ziv, E., Wong, S. T. C., Shih, A. J., Webster, R. J., III, Fischer, G. S., et al. (2015) · Journal of Vascular and Interventional Radiology · doi:10.1016/j.jvir.2015.10.019 · Cited by 117 · see citing works
Self-citationImaging genomics in cancer research: limitations and promises
Bai, H. X., Lee, A. M., Yang, L., Zhang, P. J., Davatzikos, C. A., Maris, J. M., & Diskin, S. J. (2016) · British Journal of Radiology · doi:10.1259/bjr.20151030 · Cited by 112 · see citing works
Radiogenomics: a key component of precision cancer medicine
Liu, Z.-Q., Duan, T., Zhang, Y.-Y., Weng, S.-Y., Xu, H.-X., Ren, Y.-Q., Zhang, Z.-Y., & Han, X.-W. (2023) · British Journal of Cancer · doi:10.1038/s41416-023-02317-8 · Cited by 98 · see citing works
Naeini, K. M., Pope, W. B., Cloughesy, T. F., Harris, R. J., Lai, A., Eskin, A., Chowdhury, R., PHILLIPS, H. S., Nghiemphu, P. L., Behbahanian, Y., et al. (2013) · Neuro-Oncology · doi:10.1093/neuonc/not008 · Cited by 100 · see citing works
Hectors, S. J. C. G., Wagner, M., Bane, O., Besa, C., Lewis, S. C., Remark, R., Chen, N., Fiel, M. I., Zhu, H., Gnjatic, S., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-02706-z · Cited by 94 · see citing works
Wu, J., Mayer, A. T., & Li, R. (2020) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2020.12.005 · Cited by 89 · see citing works
Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies
Moskowitz, C. S., Welch, M. L., Jacobs, M. A., Kurland, B. F., & Simpson, A. L. (2022) · Radiology · doi:10.1148/radiol.211597 · Cited by 81 · see citing works
Yopp, A. C., Schwartz, L. H., Kemeny, N. E., Gültekin, D. H., Gönen, M., Bamboat, Z. M., Shia, J., Haviland, D., D'Angelica, M. I., Fong, Y., et al. (2011) · Annals of Surgical Oncology · doi:10.1245/s10434-011-1570-1 · Cited by 80 · see citing works
Gene Signatures in the Management of Hepatocellular Carcinoma
Hoshida, Y., Moeini, A., Alsinet, C., Kojima, K., & Villanueva, A. (2012) · Seminars in Oncology · doi:10.1053/j.seminoncol.2012.05.003 · Cited by 73 · see citing works
Radiogenomics and Radiomics in Liver Cancers
Saini, A., Breen, I. D., Pershad, Y., Naidu, S., Knuttinen, M. G., Alzubaidi, S. J., Sheth, R. A., Albadawi, H., Kuo, M., & Öklü, R. (2018) · Diagnostics · doi:10.3390/diagnostics9010004 · Cited by 73 · see citing works
Self-citationZhang, Y., He, K., Guo, Y., Liu, X.-C., Yang, Q., Zhang, C.-Y., Xie, Y., Mu, S., Guo, Y., Fu, Y., et al. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.00457 · Cited by 64 · see citing works
Radiomics of hepatocellular carcinoma
Lewis, S. C., Hectors, S. J. C. G., & Taouli, B. A. (2020) · Abdominal Radiology · doi:10.1007/s00261-019-02378-5 · Cited by 70 · see citing works
Jansen, R. W., van Amstel, P., Martens, R. M., Kooi, I. E., Wesseling, P., de Langen, A. J., Menke-Van der Houven van Oordt, C. W., Jansen, B. H. E., Moll, A. C., Dorsman, J. C., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.24893 · Cited by 63 · see citing works
Enzmann, D. R. (2012) · Radiology · doi:10.1148/radiol.12110227 · Cited by 65 · see citing works
Jamshidi, N., Jonasch, E. W., Zapala, M. A., Korn, R. L., Aganović, L., Zhao, H., Sitaram, R. T., Tibshirani, R. J., Banerjee, S., Brooks, J. D., et al. (2015) · Radiology · doi:10.1148/radiol.2015150800 · Cited by 64 · see citing works
Self-citationNCTN Assessment on Current Applications of Radiomics in Oncology
Nie, K., Al‐Hallaq, H., Li, X. A., Benedict, S., Sohn, J. W., Moran, J. M., Yong Fan, A., Huang, M., Knopp, M. V., Michalski, J. M., et al. (2019) · International Journal of Radiation Oncology*Biology*Physics · doi:10.1016/j.ijrobp.2019.01.087 · Cited by 63 · see citing works
Saltz, J. H., Almeida, J. S., Gao, Y., Sharma, A., Bremer, E., DiPrima, T., Saltz, M. M., Kalpathy–Cramer, J., & Kurç, T. (2017) · PubMed Central · Cited by 60 · see citing works
Blanc‐Durand, P., Gucht, A. V. D., Jreige, M., Lalonde, M. N., Silva-Monteiro, M., Prior, J. O., Denys, A. L., Depeursinge, A., & Schaefer, N. G. (2017) · Oncotarget · doi:10.18632/oncotarget.23423 · Cited by 56 · see citing works
Taouli, B. A., Hoshida, Y., Kakite, S., Chen, X., Tan, P. S., Sun, X., Kihira, S., Kojima, K., Toffanin, S., Fiel, M. I., et al. (2017) · European Radiology · doi:10.1007/s00330-017-4844-6 · Cited by 55 · see citing works
Self-citationBotta, F., Raimondi, S., Rinaldi, L. M., Bellerba, F., Corso, F., Bagnardi, V., Origgi, D., Minelli, R., Pitoni, G., Petrella, F., et al. (2020) · Cancers · doi:10.3390/cancers12061432 · Cited by 53 · see citing works
Radiomic analysis of magnetic resonance fingerprinting in adult brain tumors
Dastmalchian, S., Kilinç, Ö., Onyewadume, L., Tippareddy, C., McGivney, D., Ma, D., Griswold, M. A., Sunshine, J. L., Gulani, V., Barnholtz‐Sloan, J. S., et al. (2020) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-020-05037-w · Cited by 50 · see citing works
Hepatocellular Carcinoma: State of the Art Imaging and Recent Advances
Navin, P. J., & Venkatesh, S. K. (2019) · Journal of Clinical and Translational Hepatology · doi:10.14218/jcth.2018.00032 · Cited by 48 · see citing works
Radiogenomics in renal cell carcinoma
Alessandrino, F., Shinagare, A. B., Bossé, D., Choueiri, T. K., & Krajewski, K. M. (2018) · Abdominal Radiology · doi:10.1007/s00261-018-1624-y · Cited by 45 · see citing works
Radiomics and Radiogenomics in Evaluation of Colorectal Cancer Liver Metastasis
Wang, Y., Ma, L., Yin, X., & Gao, B. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2021.689509 · Cited by 44 · see citing works
Prime Time for Artificial Intelligence in Interventional Radiology
Seah, J. C. Y., Boeken, T., Sapoval, M. R., & Goh, G. S. (2022) · CardioVascular and Interventional Radiology · doi:10.1007/s00270-021-03044-4 · Cited by 45 · see citing works
Guo, Y., Li, T., Gong, B., Hu, Y., Wang, S., Yang, L., & Zheng, C. (2024) · Advanced Science · doi:10.1002/advs.202408069 · Cited by 47 · see citing works
Yamamoto, S., Huang, D., Du, L., Korn, R. L., Jamshidi, N., Burnette, B., & Kuo, M. (2016) · Radiology · doi:10.1148/radiol.2016160259 · Cited by 42 · see citing works
Self-citationRadiomic Phenotyping in Brain Cancer to Unravel Hidden Information in Medical Images
Abrol, S., Kotrotsou, A., Salem, A., Zinn, P. O., & Colen, R. R. (2017) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000117 · Cited by 41 · see citing works
New Paradigm for Management of Hepatocellular Carcinoma by Imaging
Joo, I., & Choi, B. I. (2012) · Liver Cancer · doi:10.1159/000342404 · Cited by 38 · see citing works
Next Generation Radiologic-Pathologic Correlation in Oncology: Rad-Path 2.0
Kuo, M., & Yamamoto, S. (2011) · American Journal of Roentgenology · doi:10.2214/ajr.11.7163 · Cited by 35 · see citing works
Self-citationThe radiogenomic risk score stratifies outcomes in a renal cell cancer phase 2 clinical trial
Jamshidi, N., Jonasch, E. W., Zapala, M. A., Korn, R. L., Brooks, J. D., Ljungberg, B., & Kuo, M. (2015) · European Radiology · doi:10.1007/s00330-015-4082-8 · Cited by 35 · see citing works
Self-citationFu, S., Chen, S., Liang, C., Liu, Z., Zhu, Y., Li, Y., & Lu, L. (2016) · Oncotarget · doi:10.18632/oncotarget.13675 · Cited by 35 · see citing works
Ivanics, T., Salinas-Miranda, E., Abreu, P., Khalvati, F., Namdar, K., Dong, X., Deniffel, D., Gorgen, A., Erdman, L., Jhaveri, K. S., et al. (2021) · Transplantation · doi:10.1097/tp.0000000000003605 · Cited by 34 · see citing works
Comprehensive Computed Tomography Radiomics Analysis of Lung Adenocarcinoma for Prognostication
Lee, G., Park, H., Sohn, I., Lee, S.-H., Song, S. H., Kim, H. S., Lee, K. S., Shim, Y. M., & Lee, H. Y. (2018) · The Oncologist · doi:10.1634/theoncologist.2017-0538 · Cited by 33 · see citing works
Radiomics and imaging genomics in precision medicine
Lee, G., Lee, H. Y., Ko, E. S., & Jeong, W. K. (2017) · Precision and Future Medicine · doi:10.23838/pfm.2017.00101 · Cited by 32 · see citing works
Plodkowski, A. J., Drilon, A. E. D. C., Halpenny, D. F., O’Driscoll, D., Blair, D., Litvak, A. M., Zheng, J., Moskowitz, C. S., & Ginsberg, M. S. (2015) · Lung Cancer · doi:10.1016/j.lungcan.2015.09.018 · Cited by 30 · see citing works
An Assessment of Imaging Informatics for Precision Medicine in Cancer
Chennubhotla, C., Clarke, L., Fedorov, A., Foran, D. J., Harris, G. J., Helton, E. D., Nordstrom, R. J., Prior, F., Rubin, D. L., Saltz, J. H., et al. (2017) · Yearbook of Medical Informatics · doi:10.15265/iy-2017-041 · Cited by 27 · see citing works
Radioproteomics in Breast Cancer: Prediction of Ki-67 Expression With MRI-based Radiomic Models
Kayadibi, Y., Koçak, B., Uçar, N., Akan, Y. N., Akbas, P., & Bektaş, S. (2021) · Academic Radiology · doi:10.1016/j.acra.2021.02.001 · Cited by 27 · see citing works
Applying Precision Oncology Principles in Radiation Oncology
Kamran, S. C., & Mouw, K. W. (2018) · JCO Precision Oncology · doi:10.1200/po.18.00034 · Cited by 26 · see citing works
Machine learning with multimodal data for COVID-19
Chen, W., Sá, R. C., Bai, Y., Napel, S. A., Gevaert, O., Lauderdale, D. S., & Giger, M. L. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e17934 · Cited by 26 · see citing works
Cancer Genomics and Important Oncologic Mutations: A Contemporary Guide for Body Imagers
Cox, V. L., Bhosale, P., Varadhachary, G. R., Wagner‐Bartak, N. A., Glitza, I. C., Gold, K. A., Atkins, J. T., Soliman, P. T., Hong, D. S., & Qayyum, A. (2017) · Radiology · doi:10.1148/radiol.2017152224 · Cited by 26 · see citing works
Zhang, K., Ren, Y., Xu, S., Lu, W., Xie, S., Qu, J., Wang, X., Shen, B., Pang, P., Cai, X., et al. (2021) · Medical Physics · doi:10.1002/mp.15001 · Cited by 26 · see citing works
Integrating Radio Imaging With Gene Expressions Toward a Personalized Management of Cancer
Mitra, S., & Shankar, B. U. (2014) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2014.2325744 · Cited by 25 · see citing works
Radiogenomics in Interventional Oncology
Moussa, A. M., & Ziv, E. (2021) · Current Oncology Reports · doi:10.1007/s11912-020-00994-9 · Cited by 25 · see citing works
Borhani, A. A., Catania, R., Velichko, Y., Hectors, S. J. C. G., Taouli, B. A., & Lewis, S. C. (2021) · Abdominal Radiology · doi:10.1007/s00261-021-03085-w · Cited by 25 · see citing works
Hong, Z.-L., Chen, S., Peng, X.-R., Li, J., Yang, J.-C., & Wu, S. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.894476 · Cited by 25 · see citing works
Wang, Y., Xie, B., Wang, K., Zou, W., Liu, A., Xue, Z., Liu, M., & Ma, Y. (2025) · Academic Radiology · doi:10.1016/j.acra.2025.02.009 · Cited by 24 · see citing works
Digital liver biopsy: Bio-imaging of fatty liver for translational and clinical research
Mancini, M., Summers, P. E., Faita, F., Brunetto, M. R., Callea, F., Nicola, A. D., Lascio, N. D., Farinati, F., Gastaldelli, A., Gridelli, B. G., et al. (2018) · World Journal of Hepatology · doi:10.4254/wjh.v10.i2.231 · Cited by 24 · see citing works
Hesketh, R. L., Zhu, A. X., & Öklü, R. (2014) · American Journal of Clinical Oncology · doi:10.1097/coc.0000000000000123 · Cited by 23 · see citing works
Integrative radiogenomic analysis for multicentric radiophenotype in glioblastoma
Kong, D., Kim, J., Lee, I., Kim, S. T., Seol, H. J., Lee, J.-I., Park, W., Ryu, G.-H., Wang, Z., Ma’ayan, A., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.7115 · Cited by 22 · see citing works
State of the art in magnetic resonance imaging of hepatocellular carcinoma
Horvat, N. D. S. M. R., Monti, S., Oliveira, B. C., Rocha, C. C. T., Giancipoli, R. G., & Mannelli, L. (2018) · Radiology and Oncology · doi:10.2478/raon-2018-0044 · Cited by 22 · see citing works
Shi, S., An, X., & Li, Y. (2022) · Journal of Ultrasound in Medicine · doi:10.1002/jum.16078 · Cited by 22 · see citing works
Xie, C., Hu, Y., Ho, J. W. K., Han, L., Yang, H., Wen, J., Lam, K. O., Wong, Y., Law, S. Y.-K., Chiu, K. W.-H., et al. (2021) · Cancers · doi:10.3390/cancers13092145 · Cited by 22 · see citing works
Radiomics and circulating tumor cells: personalized care in hepatocellular carcinoma?
Hesketh, R. L., Zhu, A. X., & Öklü, R. (2014) · Diagnostic and Interventional Radiology · doi:10.5152/dir.2014.14237 · Cited by 21 · see citing works
Hoshino, I., & Yokota, H. (2021) · Annals of Gastroenterological Surgery · doi:10.1002/ags3.12437 · Cited by 19 · see citing works
Quantitative Computed Tomography Image Analysis to Predict Pancreatic Neuroendocrine Tumor Grade
Pulvirenti, A., Yamashita, R., Chakraborty, J., Horvat, N. D. S. M. R., Seier, K., McIntyre, C. A., Lawrence, S., Midya, A., Koszalka, M. A., Gönen, M., et al. (2021) · JCO Clinical Cancer Informatics · doi:10.1200/cci.20.00121 · Cited by 18 · see citing works
Cao, X., Yang, H., Luo, X., Zou, L., Zhang, Q., Li, Q., Zhang, J., Xiang-feng, L., Shi, Y. X., & Jin, C. (2023) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.28725 · Cited by 18 · see citing works
Feasibility of MRI Radiomics for Predicting KRAS Mutation in Rectal Cancer
Guo, X., Yang, W.-Q., Yang, Q., Yuan, Z., Liu, Y., Niu, X., & Xu, H. (2020) · Current Medical Science · doi:10.1007/s11596-020-2298-6 · Cited by 19 · see citing works
Hsu, C.-Y., Wang, C., Kuo, C., Chen, Y., Lan, K.-H., Cheng, A., & Kuo, S. (2016) · Oncotarget · doi:10.18632/oncotarget.13855 · Cited by 17 · see citing works
Detection and Analysis of Lung Cancer Using Radiomic Approach
Shallu, Nanglia, P., Kumar, S., & Luhach, A. K. (2019) · Springer eBooks · doi:10.1007/978-981-13-6295-8_2 · Cited by 17 · see citing works
- Authors
- Kuo, M. D., Gollub, J., Sirlin, C. B., Ooi, C., & Chen, X.
- Affiliations
- University of California San Diego Medical Center (US)
- Stanford University (US)
- University of Hong Kong (HK)
- University of California, San Francisco (US)
- Corresponding author
- Kuo, Michael D.
- Venue
- Journal of Vascular and Interventional Radiology
- Publisher
- Elsevier BV
- Published
- 2007-07
- Volume
- 18
- Issue
- 7
- Pages
- 821-830
- ISSN
- 1051-0443 (ISSN-L)
- OpenAlex
- W2052040374
- Cited by
- 168
- References
- 31
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 6 · 2023: 8 · 2022: 14 · 2021: 19 · 2020: 12 · 2019: 13 · 2018: 21 · 2017: 15 · 2016: 14 · 2015: 9 · 2014: 14 · 2013: 3 · 2012: 8
- FWCI
- 0.75
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Vascular and Interventional Radiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
- Health Sciences › Medicine › Hepatology › Hepatocellular Carcinoma Treatment and Prognosis
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Keywords
- hepatocellular carcinoma, radiogenomics, imaging phenotypes, contrast-enhanced CT, tumor margin, venous invasion, tumor stage, doxorubicin resistance, personalized treatment
- MeSH terms
- Antibiotics, Antineoplastic, Contrast Media, Doxorubicin, Carcinoma, Hepatocellular, Humans, Iopamidol, Liver Neoplasms, Phenotype, Tomography, X-Ray Computed, Gene Expression Regulation, Neoplastic, Least-Squares Analysis, Drug Resistance, Neoplasm, Gene Expression Profiling, Microarray Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
