Literature DB >> 32495038

Radiomic biomarkers for head and neck squamous cell carcinoma.

Stephanie Tanadini-Lang1, Panagiotis Balermpas2, Matthias Guckenberger2, Matea Pavic2, Oliver Riesterer3, Diem Vuong2, Marta Bogowicz2.   

Abstract

Tumor heterogeneity is a well-known prognostic factor in head and neck squamous cell carcinoma (HNSCC). A major limitation of tissue- and blood-derived tumor markers is the lack of spatial resolution to image tumor heterogeneity. Tissue markers derived from tumor biopsies usually represent only a small tumor subregion at a single timepoint and are therefore often not representative of the tumors' biology or the biological alterations during and after treatment. Similarly, liquid biopsies give an overall picture of the tumors' secreted factors but completely lack any spatial resolution. Radiomics has the potential to give complete three-dimensional information about the tumor. We conducted a comprehensive literature search to assess the correlation of radiomics to tumor biology and treatment outcome in HNSCC and to assess current limitations of the radiomic biomarkers. In total, 25 studies that explored the ability of radiomics to predict tumor biology and phenotype in HNSCC and 28 studies that explored radiomics to predict post-treatment events were identified. Out of these 53 studies, only three failed to show a significant correlation. The major technical challenges are currently artifacts due to metal implants, non-standardized contrast injection, and delineation uncertainties. All studies to date were retrospective and none of the above-mentioned radiomics signatures have been validated in an independent cohort using an independent software implementation, which shows that transferability due to the numerous technical challenges is currently a major limitation. However, radiomics is a very young field and these studies hopefully pave the way for clinical implementation of radiomics for HNSCC in the future.

Entities:  

Keywords:  Computed tomography; Magnetic resonance imaging; Positron emission tomography; Prognostic biomarkers; Quantitative image analysis

Mesh:

Substances:

Year:  2020        PMID: 32495038     DOI: 10.1007/s00066-020-01638-4

Source DB:  PubMed          Journal:  Strahlenther Onkol        ISSN: 0179-7158            Impact factor:   3.621


  9 in total

1.  F18-FDG PET/CT imaging early predicts pathologic complete response to induction chemoimmunotherapy of locally advanced head and neck cancer: preliminary single-center analysis of the checkrad-cd8 trial.

Authors:  M Hecht; S Semrau; M Beck; J Hartwich; M Eckstein; D Schmidt; A O Gostian; S Müller; S Rutzner; U S Gaipl; J von der Grün; T Illmer; M G Hautmann; G Klautke; J Döscher; T Brunner; B Tamaskovics; A Hartmann; H Iro; T Kuwert; R Fietkau
Journal:  Ann Nucl Med       Date:  2022-05-10       Impact factor: 2.258

2.  Radio(chemo)therapy in anaplastic thyroid cancer-high locoregional but low distant control rates-a monocentric analysis of a tertiary referral center.

Authors:  Matthias Schmied; Sebastian Lettmaier; Sabine Semrau; Maximilian Traxdorf; Konstantinos Mantsopoulos; Sarina K Mueller; Heinrich Iro; Axel Denz; Robert Grützmann; Rainer Fietkau; Marlen Haderlein
Journal:  Strahlenther Onkol       Date:  2022-05-06       Impact factor: 4.033

3.  MR-Guided Radiotherapy for Head and Neck Cancer: Current Developments, Perspectives, and Challenges.

Authors:  Simon Boeke; David Mönnich; Janita E van Timmeren; Panagiotis Balermpas
Journal:  Front Oncol       Date:  2021-03-19       Impact factor: 6.244

4.  Predictive Value of Multiparametric MRI for Response to Single-Cycle Induction Chemo-Immunotherapy in Locally Advanced Head and Neck Squamous Cell Carcinoma.

Authors:  Konstantin Hellwig; Stephan Ellmann; Markus Eckstein; Marco Wiesmueller; Sandra Rutzner; Sabine Semrau; Benjamin Frey; Udo S Gaipl; Antoniu Oreste Gostian; Arndt Hartmann; Heinrich Iro; Rainer Fietkau; Michael Uder; Markus Hecht; Tobias Bäuerle
Journal:  Front Oncol       Date:  2021-10-21       Impact factor: 6.244

5.  Acquisition repeatability of MRI radiomics features in the head and neck: a dual-3D-sequence multi-scan study.

Authors:  Cindy Xue; Jing Yuan; Yihang Zhou; Oi Lei Wong; Kin Yin Cheung; Siu Ki Yu
Journal:  Vis Comput Ind Biomed Art       Date:  2022-04-01

6.  Machine Learning for Head and Neck Cancer: A Safe Bet?-A Clinically Oriented Systematic Review for the Radiation Oncologist.

Authors:  Stefania Volpe; Matteo Pepa; Mattia Zaffaroni; Federica Bellerba; Riccardo Santamaria; Giulia Marvaso; Lars Johannes Isaksson; Sara Gandini; Anna Starzyńska; Maria Cristina Leonardi; Roberto Orecchia; Daniela Alterio; Barbara Alicja Jereczek-Fossa
Journal:  Front Oncol       Date:  2021-11-18       Impact factor: 6.244

7.  Targeting Treatment Resistance in Head and Neck Squamous Cell Carcinoma - Proof of Concept for CT Radiomics-Based Identification of Resistant Sub-Volumes.

Authors:  Marta Bogowicz; Matea Pavic; Oliver Riesterer; Tobias Finazzi; Helena Garcia Schüler; Edna Holz-Sapra; Leonie Rudofsky; Lucas Basler; Manon Spaniol; Andreas Ambrusch; Martin Hüllner; Matthias Guckenberger; Stephanie Tanadini-Lang
Journal:  Front Oncol       Date:  2021-05-27       Impact factor: 6.244

8.  FCGR2A Could Function as a Prognostic Marker and Correlate with Immune Infiltration in Head and Neck Squamous Cell Carcinoma.

Authors:  Yongmei Dai; Wenhan Chen; Junpeng Huang; Tongjian Cui
Journal:  Biomed Res Int       Date:  2021-07-05       Impact factor: 3.411

9.  CD44, γ-H2AX, and p-ATM Expressions in Short-Term Ex Vivo Culture of Tumour Slices Predict the Treatment Response in Patients with Oral Squamous Cell Carcinoma.

Authors:  Pierre Philouze; Arnaud Gauthier; Alexandra Lauret; Céline Malesys; Giovanna Muggiolu; Sylvie Sauvaigo; Antoine Galmiche; Philippe Ceruse; Gersende Alphonse; Anne-Sophie Wozny; Claire Rodriguez-Lafrasse
Journal:  Int J Mol Sci       Date:  2022-01-14       Impact factor: 5.923

  9 in total

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