Here is the list of conference abstracts related to LIFEx software and texture analysis.

  • 2018:
    • Comparison of histogram-based and textural feature performance on FDG PET/CT and DCE-MRI to distinguish histological and immuno-histo-chemical parameters in breast cancer. S Boughdad, F Orlhac, AS Dirand, C Nioche, L Champion and I Buvat. the SNMMI 2018 Annual Meeting. June 23 – June 26, 2018 ; Philadelphia, Pennsylvania (no link yet)
    • Physiological variations of SUV and textural indices in normal breast tissue in 18FDG PET/CT according to age: a two-centers comparison. S Boughdad, F Orlhac, M Chekroune, C Nioche, AS Dirand, L Champion and I Buvat. the SNMMI 2018 Annual Meeting. June 23 – June 26, 2018 ; Philadelphia, Pennsylvania (no link yet)
    • Prediction of complete pathological response after neoadjuvant chemotherapy in breast cancer using texture analysis: comparison of FDG PET-CT and DCE-MRI. S Boughdad, AS Dirand, F Orlhac, C Nioche, L Champion and I Buvat. the SNMMI 2018 Annual Meeting. June 23 – June 26, 2018 ; Philadelphia, Pennsylvania (no link yet)
    • Validation of a harmonization method to correct SUV and radiomic features variability in multi-center studies. F Orlhac, O Humbert, S Boughdad, M Lasserre, M Soussan, C Nioche, N Ayache, J Darcourt, F Frouin, I Buvat. the SNMMI 2018 Annual Meeting. June 23 – June 26, 2018 ; Philadelphia, Pennsylvania (no link yet)
    • FDG-PET radiomic twins often share molecular subtype and hormonal receptor status in breast cancer patients. F Orlhac, S Boughdad, L Champion, C Nioche, I Buvat. the SNMMI 2018 Annual Meeting. June 23 – June 26, 2018 ; Philadelphia, Pennsylvania (no link yet)
    • Investigating the radiomic signatures of metastatic and non-metastatic breast cancer patients based on F18-FDG PET/CT images. AS Dirand, F Orlhac, S Boughdad, L Champion, C Nioche, I Buvat. the SNMMI 2018 Annual Meeting. June 23 – June 26, 2018 ; Philadelphia, Pennsylvania (no link yet)
    • OC14 Texture and shape analysis of striatum and thalamus in 18F-FDG PET in Parkinson’s Disease, parkinsonian variant of Multiple System Atrophy and Progressive Supranuclear Palsy. F Hives, P Péran, P Gantet, F Ory-Magne, C Brefel-Courbon, J Dupouy, A Pavy-Le Traon, O Rascol, P Payoux ; (link)
  •  2017:
    • OP-636 A post-acquisition normalization to co-analyze textural features from multi-center PET images F. Orlhac, S. Boughdad, C. Nioche, J. Alberini, M. Soussan, I. Buvat ; (link)
    • EP-0034 An efficient software tool for measuring the total metabolic tumor volume in whole body PET C. Nioche, A. Cotterau, M. Meignan, I. Buvat ; (link)
    • EP-0696 Do PET textural features have an additional value over visual assessment for the diagnosis of bone involvement on baseline FDG PET scans in diffuse large B cell lymphomas patients? N. Aide, M. Talbot , C. Nganoa , C. Fruchart , G. Damaj , C. Lasnon ; (link)
    • OP-240 The Role of Texture Features Derived from FDG-PET/CT to Characterize Lung Lesions and Predict Survival in NonSmall Cell Lung Cancer Patients Undergoing Surgery M. Kirienko , M. Sollini , L. Cozzi , L. Antunovic , E. Voulaz , G. Veronesi , N. Gennaro , R. Muglia , O. Santonocito , A. Chiti ; (link)
    • OP-599 Inter-observer and inter-contouring method variability for textural analysis in head and neck cancer in pretherapeutic 18-FDG PET/CT C. Guezennec, J. Corre, D. Bourhis, P. Robin, O. Delcroix, Y. Gobel, U. Schick, P. Salaün, R. Abgral; (link)
    • A freeware for tumor heterogeneity characterization in PET, SPECT, CT, MRI and US to accelerate advances in radiomics. C Nioche, F Orlhac, S. Boughdad, S. Reuze, M Soussan, C Robert, C Barakat, I Buvat. J Nucl Med 58:1316 (link)
    • ​Computer Tomography (CT) Texture Analysis as Prediction Factor in Non-Small Cell Lung Cancer Patients Undergoing Nivolumab Treatment ; V. Nardone, P. Tini, E. Aldi, P. Pastina, S. Croci, L. Sebaste, G. Battaglia, S.F. Carbone, V. Ricci, M.A. Mazzei, L. Pirtoli, P. Correale ; November 2017 ; Journal of Thoracic Oncology; Volume 12, Issue 11, Supplement 2, Page S1601, S2382 (linklink)
    • Philipp Lohmann, Christoph Lerche, Elena Bauer, Jan Steger, Gabriele Stoffels, Tobias Blau, Veronika Dunkl, Christian P Filss, Carina Stegmayr, Bernd Neumaier, Nadim J Shah, Gereon Fink, Karl-Josef Langen, Norbert Galldiks; NIMG-32. Differentiation of pseudoprogression from tumor progression in glioblastoma patients based on FET PET radiomics; Neuro-Oncology, Volume 19, Issue suppl_6, 6 November 2017, Pages vi148–vi149 (link)
    • Predicting isocitrate dehydrogenase genotype in malignant glioma using FET PET radiomics. P. Lohmann, C. Lerche, E. Bauer, J. Steger, G. Stoffels, C.P. Filss, C. Stegmayr, B. Neumaier, N.J. Shah, K. Langen, N. Galldiks. Neuro Oncol (2017) 19 (suppl_3): iii88-iii89 (link)
    • FET PET radiomics - diagnosis of pseudoprogression in glioblastoma patients based on textural features. P. Lohmann, C. Lerche, G. Stoffels, C. P. Filss, C. Stegmayr, B. Neumaier, N. J. Shah, K. Langen, N. Galldiks. Neuro Oncol (2017) 19 (suppl_3): iii75. (link)
    • Variations in SUV and textural indices in breast tissue satellite to breast cancer compared to normal breast tissue in FDG-PET. S Boughdad, C Nioche, F Orlhac, L Champion, Irene Buvat. J Nucl Med May 1, 2017 vol. 58:1058 (link)
    • Physiological variations of SUV and textural indices in normal breast tissue as a function of age and body mass index in FDG-PET. S Boughdad, C Nioche, F Orlhac, L Champion, Irene Buvat. J Nucl Med May 1, 2017 vol. 58:470, no. supplement 1 470 (link)
    • Textural features can distinguish between different tissues characterized by the same metabolic activity in FDG PET. F Orlhac, S Boughdad, C Nioche, M Soussan, I Buvat. J Nucl Med May 1, 2017 vol. 58:505 (link)
    • Towards the identification of tumors with similar radiomic features: introducing the concept of numerical twins. F Orlhac, C Nioche, I Faouzi, M Soussan, I Buvat. J Nucl Med May 1, 2017 vol. 58:502 (link)
    • An original approach to deal with multi-center variability of PET textural features. F Orlhac, S Boughdad, C Nioche, JL Alberini, M Soussan, I Buvat. J Nucl Med May 1, 2017 vol. 58:506 (link)
    • Interest of textural analysis and standard parameters on 18F-FET PET-CT to differentiate low and high grades gliomas. G. Dissaux, O. El Kabbaj, R. Abgral, R. Seizeur, P. Robin, P.Y. Le Roux, P. Salaun, U. Schick, O. Pradier, D. Bourhis and S. Querellou. J Nucl Med May 1, 2017 vol. 58 no. supplement 1 963 (link)
    • Interest of textural analysis and standard parameters on 18F-FET PET-CT to differentiate low and high-grades gliomas. S.Q. Lefranc, G. Dissaux, O.E. Kabbaj, R. Abgral,R. Seizeur, Robin, P.Y. Le Roux, P.Y. Salaun, U. Schick, D. Bourhis. Médecine Nucléaire, Volume 41(3):195, May–June 2017 (link)
    • Predictive value of CT texture analysis in lung cancer patients undergoing Nivolumab. V. Nardone, P. Tini, E. Aldi, P. Pastina, L. Sebaste, G. Battaglia, S.F. Carbone, V. Ricci, L. Pirtoli, P. Correale; European Lung Cancer Conference (ELCC) 2017, (link)
    • Volumetric texture analysis in the characterisation of interstitial lung diseases in lung transplant patients. F. Gentili, V. Nardone, D. Spina, D. Bennett, A. Fausto, P. Tini, P. Rottoli, L. Volterrani, M. A. Mazzei; Siena/IT (link). ECR2017
    • Influence of multidetector computed tomography acquisition parameters on texture indices; preliminary phantom study. C. Caramella, F. Bidault, S. Ammari, F. Orlhac, B. Asselain, C. Nioche, N. Lassau, S. Pitre-Champagnat; European Conference of Radiology (ECR) 2017 (link)
    • Influence of the intensity of MRI magnetic field on the textural features; S. Ammari, S. Pitre-Champagnat, L. Dercle, C. Caramella, F. Orlhac, A. Samy, S. Moalla, N. Lassau, F. Bidault; European Conference of Radiology (ECR) 2017 (no link)
    • Utilizzo dell’analisi texture in TC per predire l’insorgenza di metastasi nei sarcomi dei tessuti molli delle estremità. R. Casale, M. Maris Bogdan, M. Scandola, G. Addonisio, P. Orlando, P. Fiorini (no link)
    • Applicazione dell’analisi texture in TC per la valutazione del grading nei sarcomi dei tessuti molli delle estremità. M. Maris Bogdan, R. Casale, M. Scandola, G. Addonisio, P. Orlando, P. Fiorini (no link) 
  • 2016:
    • LIFEx: un logiciel gratuit pour caractériser l’hétérogénéité intra-tumorale en imagerie multimodale. C Nioche, F Orlhac, I Buvat. Journal de Médecine Nucléaire, Volume 40, Issue 3, May 2016, p. 208 (link)
    • Comparison of PET textural indices measured in PET/MR and in PET/CT. M Soussan, C Nioche, F Orlhac, I Buvat. J Nucl Med 57: 425, 2016. (link)
    • Texture analysis in PET: which values reflect heterogeneous tracer uptake? A multicentric study. F Orlhac, S Boughdad, M Soussan, C Nioche, JL Alberini, I Buvat. J Nucl Med, 57: 1920, 2016.(link)
    • FDG-PET texture analysis in breast cancer according to molecular subtypes. S Boughdad, C Nioche, F Orlhac, L Champion, JL Alberini, I Buvat. J Nucl Med, 57: 1488, 2016. (link)
    • Potential of textural indices for characterizing the spatial organization of tumor cells in radionuclide imaging. F Orlhac, B Theze, M. Soussan, R Boisgard, I Buvat. J Nucl Med, 57: 427, 2016. (link)
    • Textural indices in normal breast vary as a function of age in F18-FDG PET. S Boughdad, C Nioche, F Orlhac, L Champion, JL Alberini, I Buvat. J Nucl Med, 57: 1487, 2016. (link)
    • Perdiction of cervical cancer recurrence using textural features calculated from 18F-FDG PET images. S Reuzé, F Orlhac, C Nioche, C Chargari, I Buvat, E Deutsch, C Robert. J Nucl Med 57: 422, 2016.(link)
  •  2015:
    • Enhanced textural indices distinguish tissue types in FDG PET. F Orlhac, M Soussan, K Chouahnia, E Martinod, I Buvat. J Nucl Med 56: 430, 2015. (link)
    • Entropy of tumor FDG uptake measured in-vivo from PET images reflects the tumor entropy seen in autoradiography. F Orlhac, B Theze, R Boisgard, I Buvat. J Nucl Med 56: 1777, 2015
    • Entropy characterizes intratumoral hypometabolism in FDG PET. F Orlhac, M Soussan, S Djelbani, J Tordjmann, I Buvat. J Nucl Med, 56: 1779, 2015 (link)
    • Co-analysis of textural pattern and SUVpeak in F18-FDOPA PET/CT significantly improves glioma staging. C Nioche, F Orlhac, M Soret, E Gontier, I Buvat. J Nucl Med 56: 327, 2015 (link)
  • 2014:
    • Do texture indices derived from PET improve tumor characterization in non-small-cell lung cancer (NSCLC) patients? F Orlhac, M Soussan, V Eder, I Buvat. J Nucl Med 55: 453, 2014 (link).
    • Glioma grading in 18F-FDopa PET/CT: comparison between textural features, shape index and SUV. F Orlhac, C Nioche, M Soret, E Gontier, I Buvat. J Nucl Med 55: 1895, 2014 (link).
    • Comparison of tumor textural features in PET and CT images in non-small-cell lung cancer (NSCLC) patients. F Orlhac, M Soussan, V Eder, I Buvat. J Nucl Med 55: 1610, 2014 (link).
  • 2013:
    • FDG-PET/CT textural features in triple negative breast tumors. M Soussan, F Orlhac, M Boubaya, L Zelek, M Ziol, V Eder, I Buvat. Eur J Nucl Med Mol Imaging 40: S213, 2013.
    • Texture indices for tumor characterization in FDG PET: robustness and relationship with SUV and metabolic volume. F Orlhac, M Soussan, JA Maisonoble, CA Garcia, B Vanderlinden, I Buvat. Eur J Nucl Med Mol Imaging 40: S210, 2013.

 

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