Radiomic biomarkers for head and neck squamous cell carcinoma

被引:34
作者
Tanadini-Lang, Stephanie [1 ]
Balermpas, Panagiotis [1 ]
Guckenberger, Matthias [1 ]
Pavic, Matea [1 ]
Riesterer, Oliver [2 ]
Vuong, Diem [1 ]
Bogowicz, Marta [1 ]
机构
[1] Univ Zurich, Univ Zurich Hosp, Dept Radiat Oncol, Ramistr 100, CH-8091 Zurich, Switzerland
[2] Canton Hosp Aarau, Ctr Radiat Oncol KSA KSB, Aarau, Switzerland
关键词
Prognostic biomarkers; Quantitative image analysis; Computed tomography; Positron emission tomography; Magnetic resonance imaging; NON-OROPHARYNGEAL HEAD; LOCALLY ADVANCED HEAD; HUMAN-PAPILLOMAVIRUS; TEXTURE ANALYSIS; PROGNOSTIC VALUE; TUMOR-CONTROL; CT RADIOMICS; HPV STATUS; RADIATION-THERAPY; IMAGE-BIOMARKERS;
D O I
10.1007/s00066-020-01638-4
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:868 / 878
页数:11
相关论文
共 88 条
[1]   Cochlea CT radiomics predicts chemoradiotherapy induced sensorineural hearing loss in head and neck cancer patients: A machine learning and multi-variable modelling study [J].
Abdollahi, Hamid ;
Mostafaei, Shayan ;
Cheraghi, Susan ;
Shiri, Isaac ;
Mandavi, Seied Rabi ;
Kazemnejad, Anoshirvan .
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2018, 45 :192-197
[2]   Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach [J].
Aerts, Hugo J. W. L. ;
Velazquez, Emmanuel Rios ;
Leijenaar, Ralph T. H. ;
Parmar, Chintan ;
Grossmann, Patrick ;
Cavalho, Sara ;
Bussink, Johan ;
Monshouwer, Rene ;
Haibe-Kains, Benjamin ;
Rietveld, Derek ;
Hoebers, Frank ;
Rietbergen, Michelle M. ;
Leemans, C. Rene ;
Dekker, Andre ;
Quackenbush, John ;
Gillies, Robert J. ;
Lambin, Philippe .
NATURE COMMUNICATIONS, 2014, 5
[3]   Human Papillomavirus and Survival of Patients with Oropharyngeal Cancer [J].
Ang, K. Kian ;
Harris, Jonathan ;
Wheeler, Richard ;
Weber, Randal ;
Rosenthal, David I. ;
Nguyen-Tan, Phuc Felix ;
Westra, William H. ;
Chung, Christine H. ;
Jordan, Richard C. ;
Lu, Charles ;
Kim, Harold ;
Axelrod, Rita ;
Silverman, C. Craig ;
Redmond, Kevin P. ;
Gillison, Maura L. .
NEW ENGLAND JOURNAL OF MEDICINE, 2010, 363 (01) :24-35
[4]   Dual-energy computed tomography for prediction of loco-regional recurrence after radiotherapy in larynx and hypopharynx squamous cell carcinoma [J].
Bahig, Houda ;
Lapointe, Andreanne ;
Bedwani, Stephane ;
de Guise, Jacques ;
Lambert, Louise ;
Filion, Edith ;
Roberge, David ;
Letourneau-Guillon, Laurent ;
Blais, Danis ;
Ng, Sweet Ping ;
Nguyen-Tan, Phuc Felix .
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 110 :1-6
[5]   The PD-1/PD-L1 axis and human papilloma virus in patients with head and neck cancer after adjuvant chemoradiotherapy: A multicentre study of the German Cancer Consortium Radiation Oncology Group (DKTK-ROG) [J].
Balermpas, Panagiotis ;
Roedel, Franz ;
Krause, Mechthild ;
Linge, Annett ;
Lohaus, Fabian ;
Baumann, Michael ;
Tinhofer, Inge ;
Budach, Volker ;
Sak, Ali ;
Stuschke, Martin ;
Gkika, Eleni ;
Grosu, Anca-Ligia ;
Abdollahi, Amir ;
Debus, Juergen ;
Stangl, Stefan ;
Ganswindt, Ute ;
Belka, Claus ;
Pigorsch, Steffi ;
Multhoff, Gabriele ;
Combs, Stephanie E. ;
Welz, Stefan ;
Zips, Daniel ;
Lim, Su Yin ;
Roedel, Claus ;
Fokas, Emmanouil .
INTERNATIONAL JOURNAL OF CANCER, 2017, 141 (03) :594-603
[6]   Voxel-based identification of local recurrence sub-regions from pre-treatment PET/CT for locally advanced head and neck cancers [J].
Beaumont, J. ;
Acosta, O. ;
Devillers, A. ;
Palard-Novello, X. ;
Chajon, E. ;
de Crevoisier, R. ;
Castelli, J. .
EJNMMI RESEARCH, 2019, 9 (01)
[7]   FDG PET based prediction of response in head and neck cancer treatment: Assessment of new quantitative imaging features [J].
Beichel, Reinhard R. ;
Ulrich, Ethan J. ;
Smith, Brian J. ;
Bauer, Christian ;
Brown, Bartley ;
Casavant, Thomas ;
Sunderland, John J. ;
Graham, Michael M. ;
Buatti, John M. .
PLOS ONE, 2019, 14 (04)
[8]   A model using concomitant markers for predicting outcome in human papillomavirus positive oropharyngeal cancer [J].
Bersani, Cinzia ;
Mints, Michael ;
Tertipis, Nikolaos ;
Haeggblom, Linnea ;
Sivars, Lars ;
Ahrlund-Richter, Andreas ;
Vlastos, Andrea ;
Smedberg, Cecilia ;
Grun, Nathalie ;
Munck-Wikland, Eva ;
Nasman, Anders ;
Ramqvist, Torbjorn ;
Dalianis, Tina .
ORAL ONCOLOGY, 2017, 68 :53-59
[9]   Perfusion CT radiomics as potential prognostic biomarker in head and neck squamous cell carcinoma [J].
Bogowicz, M. ;
Tanadini-Lang, S. ;
Veit-Haibach, P. ;
Pruschy, M. ;
Bender, S. ;
Sharma, A. ;
Hullner, M. ;
Studer, G. ;
Stieb, S. ;
Hemmatazad, H. ;
Glatz, S. ;
Guckenberger, M. ;
Riesterer, O. .
ACTA ONCOLOGICA, 2019, 58 (10) :1514-1518
[10]   Privacy-preserving distributed learning of radiomics to predict overall survival and HPV status in head and neck cancer [J].
Bogowicz, Marta ;
Jochems, Arthur ;
Deist, Timo M. ;
Tanadini-Lang, Stephanie ;
Huang, Shao Hui ;
Chan, Biu ;
Waldron, John N. ;
Bratman, Scott ;
O'Sullivan, Brian ;
Riesterer, Oliver ;
Studer, Gabriela ;
Unkelbach, Jan ;
Barakat, Samir ;
Brakenhoff, Ruud H. ;
Nauta, Irene ;
Gazzani, Silvia E. ;
Calareso, Giuseppina ;
Scheckenbach, Kathrin ;
Hoebers, Frank ;
Wesseling, Frederik W. R. ;
Keek, Simon ;
Sanduleanu, Sebastian ;
Leijenaar, Ralph T. H. ;
Vergeer, Marije R. ;
Leemans, C. Rene ;
Terhaard, Chris H. J. ;
van den Brekel, Michiel W. M. ;
Hamming-Vrieze, Olga ;
van der Heijden, Martijn A. ;
Elhalawani, Hesham M. ;
Fuller, Clifton D. ;
Guckenberger, Matthias ;
Lambin, Philippe .
SCIENTIFIC REPORTS, 2020, 10 (01)