Literature DB >> 31231435

Perspectives in Radiomics for Personalized Medicine and Theranostics.

Seunggyun Ha1,2.   

Abstract

Radiomics handles imaging biomarker from high-throughput feature extraction through complex pattern recognition that is difficult for human to process. Recent medical paradigms are rapidly changing to personalized medicine, including molecular targeted therapy, immunotherapy, and theranostics, and the importance of biomarkers for these is growing day by day. Even though biopsy continues to gold standard for tumor assessment in personalized medicine, imaging is expected to complement biopsy because it allows whole tumor evaluation, whole body evaluation, and non-invasive and repetitive evaluation. Radiomics is known as a useful method to get imaging biomarkers related to intratumor heterogeneity in molecular targeted therapy as well as one-size-fits-all therapy. It is also expected to be useful in new paradigms such as immunotherapy and somatostatin receptor (SSTR) or prostate-specific membrane antigen (PSMA)-targeted theranostics. Radiomics research should move to multimodality (CT, MR, PET, etc.), multicenter, and prospective studies from current single modality, single institution, and retrospective studies. Image-quality harmonization, intertumor heterogeneity, and integrative analysis of information from different scales are thought to be important keywords in future radiomics research. It is clear that radiomics will play an important role in personalized medicine.

Entities:  

Keywords:  Oncology; PET; Personalized medicine; Radiomics; Theranostics

Year:  2019        PMID: 31231435      PMCID: PMC6554363          DOI: 10.1007/s13139-019-00578-x

Source DB:  PubMed          Journal:  Nucl Med Mol Imaging        ISSN: 1869-3474


  28 in total

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3.  Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters.

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Journal:  N Engl J Med       Date:  2012-06-02       Impact factor: 91.245

Review 5.  Radiomics: extracting more information from medical images using advanced feature analysis.

Authors:  Philippe Lambin; Emmanuel Rios-Velazquez; Ralph Leijenaar; Sara Carvalho; Ruud G P M van Stiphout; Patrick Granton; Catharina M L Zegers; Robert Gillies; Ronald Boellard; André Dekker; Hugo J W L Aerts
Journal:  Eur J Cancer       Date:  2012-01-16       Impact factor: 9.162

Review 6.  How Darwinian models inform therapeutic failure initiated by clonal heterogeneity in cancer medicine.

Authors:  M Gerlinger; C Swanton
Journal:  Br J Cancer       Date:  2010-09-28       Impact factor: 7.640

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Journal:  N Engl J Med       Date:  2009-08-19       Impact factor: 91.245

Review 8.  Impact of EGFR inhibitor in non-small cell lung cancer on progression-free and overall survival: a meta-analysis.

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Journal:  J Natl Cancer Inst       Date:  2013-04-17       Impact factor: 13.506

9.  Crizotinib versus chemotherapy in advanced ALK-positive lung cancer.

Authors:  Alice T Shaw; Dong-Wan Kim; Kazuhiko Nakagawa; Takashi Seto; Lucio Crinó; Myung-Ju Ahn; Tommaso De Pas; Benjamin Besse; Benjamin J Solomon; Fiona Blackhall; Yi-Long Wu; Michael Thomas; Kenneth J O'Byrne; Denis Moro-Sibilot; D Ross Camidge; Tony Mok; Vera Hirsh; Gregory J Riely; Shrividya Iyer; Vanessa Tassell; Anna Polli; Keith D Wilner; Pasi A Jänne
Journal:  N Engl J Med       Date:  2013-06-01       Impact factor: 91.245

10.  Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.

Authors:  Marco Gerlinger; Andrew J Rowan; Stuart Horswell; James Larkin; David Endesfelder; Eva Gronroos; Pierre Martinez; Nicholas Matthews; Aengus Stewart; Charles Swanton; M Math; Patrick Tarpey; Ignacio Varela; Benjamin Phillimore; Sharmin Begum; Neil Q McDonald; Adam Butler; David Jones; Keiran Raine; Calli Latimer; Claudio R Santos; Mahrokh Nohadani; Aron C Eklund; Bradley Spencer-Dene; Graham Clark; Lisa Pickering; Gordon Stamp; Martin Gore; Zoltan Szallasi; Julian Downward; P Andrew Futreal
Journal:  N Engl J Med       Date:  2012-03-08       Impact factor: 91.245

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  5 in total

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Journal:  Nat Rev Endocrinol       Date:  2020-08-24       Impact factor: 43.330

Review 2.  Advantages and Applications of Total-Body PET Scanning.

Authors:  Sanaz Katal; Liesl S Eibschutz; Babak Saboury; Ali Gholamrezanezhad; Abass Alavi
Journal:  Diagnostics (Basel)       Date:  2022-02-07

Review 3.  Radiomics in prostate cancer: an up-to-date review.

Authors:  Matteo Ferro; Ottavio de Cobelli; Gennaro Musi; Francesco Del Giudice; Giuseppe Carrieri; Gian Maria Busetto; Ugo Giovanni Falagario; Alessandro Sciarra; Martina Maggi; Felice Crocetto; Biagio Barone; Vincenzo Francesco Caputo; Michele Marchioni; Giuseppe Lucarelli; Ciro Imbimbo; Francesco Alessandro Mistretta; Stefano Luzzago; Mihai Dorin Vartolomei; Luigi Cormio; Riccardo Autorino; Octavian Sabin Tătaru
Journal:  Ther Adv Urol       Date:  2022-07-04

4.  Automated detection of dental artifacts for large-scale radiomic analysis in radiation oncology.

Authors:  Colin Arrowsmith; Reza Reiazi; Mattea L Welch; Michal Kazmierski; Tirth Patel; Aria Rezaie; Tony Tadic; Scott Bratman; Benjamin Haibe-Kains
Journal:  Phys Imaging Radiat Oncol       Date:  2021-04-21

5.  Radiomics Assessment of the Tumor Immune Microenvironment to Predict Outcomes in Breast Cancer.

Authors:  Xiaorui Han; Wuteng Cao; Lei Wu; Changhong Liang
Journal:  Front Immunol       Date:  2022-01-03       Impact factor: 7.561

  5 in total

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