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  • LIFEx-Texture: Implications of reconstruction protocol for histo-biological characterisation of breast cancers using FDG-PET radiomics. Aide N, Salomon T, Blanc-Fournier C, Grellard JM, Levy C, Lasnon C. EJNMMI Research, Dec 2018 (springer)
  • LIFEx-Texture: Prognostic value of textural indices extracted from pretherapeutic 18-F FDG-PET/CT in head and neck squamous cell carcinoma. Guezennec C, Robin P, Orlhac F, Bourhis D, Delcroix O, Gobel Y, Rousset J, Schick U, Salaün PY, Abgral R. Head & Neck, Dec 2018 (doi)
  • LIFEx-Texture: The value of MR textural analysis in prostate cancer. Patel N, Henry A, Scarsbrook A. Clinical Radiology ; Available online 17 December 2018
  • LIFEx-Texture: Effects of CT FOV displacement and acquisition parameters variation on texture analysis features. Biondi M, Vanzi E, De Otto G, Carbone SF, Nardone V, Banci Buonamici F. Physics in Medicine and Biology, 2018 Nov, 1361-6560 (link)
  • LIFEx-Texture: Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS. Masudaae T, Nakaura T, Funamad Y, Okimoto T, Satob T, Higakie T, Noda N, Imadaa N, Babae Y, Awai K ; Journal of Cardiovascular Computed Tomography ; Oct 2018 (link)
  • LIFEx-Texture: Meignan M and Cottereau AS. FDG-PET in PMBCL: which heterogeneity? Blood 2018 132:117-118 (link)
  • LIFEx-MTV: Chantepie S, Hovhannisyan N, Guillouet S, Pelage JP, Ibazizene M, Bodet-Milin C, Carlier T, Gac AC, Réboursière E, Vilque JP, Kraeber-Bodéré F, Manrique A, Damaj G, Leporrier M, Barré L. 18F-Fludarabine PET for Lymphoma Imaging: First-in-Humans Study on DLBCL and CLL Patients. J Nucl Med. 2018 Sep;59(9):1380-1385 (link)
  • LIFEx-Texture: Nakagawa M, Nakaura T, Namimoto T, Kitajima M, Uetani H, Tateishi M, Oda S, Utsunomiya D, Makino K, Nakamura H, Mukasa A, Hirai T, Yamashita Y. Machine learning based on multi-parametric magnetic resonance imaging to differentiate glioblastoma multiforme from primary cerebral nervous system lymphoma. European Journal of Radiology. 2018 Sep (link)
  • LIFEx-Texture: Vendrami CL, Velichko YS, Miller FH, Chatterjee A, Villavicencio CP, Yaghmai V, McCarthy RJ. Differentiation of Papillary Renal Cell Carcinoma Subtypes on MRI: Qualitative and Texture Analysis. AJR Am J Roentgenol. 2018 Sep 21:1-12 (link)
  • LIFEx-Texture: Lohmann P, Lerche C, Bauer EK, Steger J, Stoffels G, Blau T, Dunkl V, Kocher M, Viswanathan S, Filss CP, Stegmayr C, Ruge MI, Neumaier B, Shah NJ, Fink GR, Langen KJ & Galldiks N. Predicting IDH genotype in gliomas using FET PET radiomics. Scientific Reports 8, Article number: 13328 (2018) (link)
  • LIFEx-Texture: Liu C, Ding J, Spuhler K, Gao Y, Serrano Sosa M, Moriary M, Hussain S, He X, Liang C, Huang C. Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI. J Magn Reson Imaging, 2018 Sep (link)
  • LIFEx-Texture: R Sun, EJ Limkin, M Vakalopoulou, L Dercle, S Champiat, S Rong Han, L Verlingue, D Brandao, A Lancia, S Ammari, A Hollebecque, JY Scoazec, A Marabelle, C Massard, JC Soria, C Robert, N Paragios, E Deutsch, C Ferté. A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study; The Lancet Oncology ; Published:August 14, 2018 (link)
  • LIFEx-Texture: P Lohmann, M Kocher, G Ceccon, EK Bauer, G Stoffels, S Viswanathan, MI Ruge, B Neumaier, NJ Shah, GR Fink, KJ Langen, N Galldiks. Combined FET PET/MRI radiomics differentiates radiation injury from recurrent brain metastasis. Neuroimage Clinical. 2018, 20:537-542 (link).
  • LIFEx-Texture: C Nioche, F Orlhac, S Boughdad, S Reuzé, J Goya-Outi, C Robert, C Pellot-Barakat, M Soussan, F Frouin, and I Buvat. LIFEx: a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity. Cancer Research 2018; 78(16):4786-4789 (link).
  • LIFEx-Texture: S Boughdad, C Nioche, F Orlhac, L Jehl, L Champion, I Buvat. Influence of age on radiomic features in 18F-FDG PET in normal breast tissue and in breast cancer tumors. Oncotarget 2018; 9:30855-30868 (link).
  • LIFEx-Texture: A Parvez, N Tau, D Hussey, M Maganti, U Metser. 18F-FDG PET/CT metabolic tumor parameters and radiomics features in aggressive non-Hodgkin’s lymphoma as predictors of treatment outcome and survival. Ann Nucl Med (2018). (link)
  • LIFEx-Texture: T Tsujikawa, H Tsuyoshi, M Kanno, S Yamada, M Kobayashi, N Narita, H Kimura, S Fujieda, Y Yoshida and H Okazawa. Selected PET radiomic features remain the same. Oncotarget. 2018; 9:20734-20746. (link)
  • LIFEx-MTV: P Blanc-Durand, A Van Der Gucht, N Schaefer, E Itti, J O. Prior. Automatic lesion detection and segmentation of 18F-FET PET in gliomas: A full 3D U-Net convolutional neural network study. Plos One April 13, 2018 (link)
  • LIFEx-Texture: M Kirienko M, L Cozzi, A Rossi, E Voulaz, L Antunovic, A Fogliata, A Chiti, M Sollini. Ability of FDG PET and CT radiomics features to differentiate between primary and metastatic lung lesions. Eur J Nucl Med Mol Imaging. 2018 Apr 6. doi: 10.1007/s00259-018-3987-2. (link)
  • LIFEx-Texture: V Nardone, P Tini, S Croci, SF Carbone, L Sebaste, T Carfagno, G Battaglia, P Pastina, G Rubino, MA Mazzei, L Pirtoli. 3D bone texture analysis as a potential predictor of radiationinduced insufficiency fractures. Quant Imaging Med Surg 2018;8(1):14-24 (link)
  • LIFEx-Texture: C Caramella, A Allorant, F Orlhac, F Bidault, B Asselain, S Ammari, P Jaranowski, A Moussier, C Balleyguier, N Lassau, S Pitre-Champagnat. Can we trust the calculation of texture indices of CT images? A phantom study. Med Phys. 2018 Feb 14. doi: 10.1002/mp.12809 (link)
  • LIFEx-Texture: V Nardone, P Tini, C Nioche, MA Mazzei, T Carfagno, G Battaglia, P Pastina, R Grassi, L Sebaste, L Pirtoli. Texture analysis as a predictor of radiation-induced xerostomia in head and neck patients undergoing IMRT. Radiol Med. 2018 Jan 24. doi: 10.1007/s11547-017-0850-7 (link)
  • LIFEx-Texture: F Orlhac, S Boughdad, C Philippe, H Stalla-Bourdillon, C Nioche, L Champion, M Soussan, F Frouin, V Frouin, I Buvat. A post-reconstruction harmonization method for multicenter radiomic studies in PET. J Nucl Med. 2018  doi: 10.2967/jnumed.117.199935. [Epub ahead of print] (link)
  • LIFEx-Texture: M Kirienko, L Cozzi, L Antunovic, L Lozza, A Fogliata, E Voulaz, A Rossi, A Chiti, M Sollini ; Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery. Eur J Nucl Med Mol Imaging 45:207-217, 2018 (link)
  • LIFEx-Texture: N Aide, M Talbot, C Fruchart, G Damaj, C Lasnon ; Diagnostic and prognostic value of baseline FDG PET/CT skeletal textural features in diffuse large B cell lymphoma. Eur J Nucl Med Mol Imaging. 2018;45(5):699-711 (link)
  • LIFEx-Texture: A Schernberg, S Reuze, F Orlhac, I Buvat, L Dercle, R Sun, E Limkin, A Escande, C Haie-Meder, E Deutsch, C Chargari, C Robert ; A score combining baseline neutrophilia and primary tumor SUVpeak measured from FDG PET is associated with outcome in locally advanced cervical cancer ; Eur J Nucl Med Mol Imaging. 2018;45(2):187-195. doi: 10.1007/s00259-017-3824-z (link)

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