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Publications 2026 - Journal papers (32)

Articles (24):

  1. LIFEx-Main: Peng, L., Perronne, L., Gennaro, N. et al. Performance of deep learning-based segmentation of soft tissue sarcoma by MRI sequence, tumor type and location. Skeletal Radiol (2026). https://doi.org/10.1007/s00256-026-05178-3
  2. LIFEx-texture: Peian Hu, Lei Chen, Zhengrong Zhou. The Feasibility of ADC Histogram Analysis in Differentiating Recurrences from Postsurgical Changes of Soft Tissue Sarcoma, Clinical Radiology, 2026, 107295, ISSN 0009-9260, https://doi.org/10.1016/j.crad.2026.107295.
  3. LIFEx-texture: Natalia Villarreal-del Bosque, Andrea C. Garza-Acosta, Dionicio A. Galarza-Delgado, Jose R. Azpiri-Lopez, Iris J. Colunga-Pedraza, Alejandra B. Rodriguez-Romero, and Karla V. Rodriguez-Alanis. US-based radiomics and conventional US of subclinical carotid plaques in patients with psoriatic arthritis and control subjects: A pilot study. J Mex Fed Radiol Imaging. 2022;1(3):184-193. https://doi.org/10.24875/JMEXFRI.M22000023
  4. LIFEx-texture: Dwivedi P, Barage S, Jha A. K, Agrawal A, Rangarajan V. External Validation of PET Radiomics-Based ML Model for Non-Invasive Lung Cancer Subtype Classification. Biomed Pharmacol J 2026;19(1). Available from: https://bit.ly/4amtcMa
  5. LIFEx-texture: Prasanth, Pratheek N.*,a,*; Ravina, Mudalshaa; Ganga, Ranganath T.*,b,*; Raju, Shobhanaa; Kumar, Amitc; Kote, Rutujaa; Reddy, Moulisha; Naik, Vamshi B.a; Krishnan, Saratha; Shukla, Arvind Kumard. Role of [18F]fluorodeoxyglucose positron emission tomography-computed tomography metabolic radiomics in predicting response to chemotherapy in patients with non-small cell lung cancer. Nuclear Medicine Communications ():10.1097/MNM.0000000000002127, February 20, 2026. | https://doi.org/10.1097/MNM.0000000000002127
  6. LIFEx-texture: Spiegel, T.; Rasul, S.; Pötsch, N.; Stiglbauer-Tscholakoff, A.; Kapetas, P.; Nics, L.; Gebhart, P.; Rausch, I.; Bago-Horvath, Z.; Clauser, P.; et al. Uptake Patterns of [18F]Fluoroestradiol PET/MRI in Benign Breast Lesions and Molecular Breast Cancer Subtypes. Cancers 2026, 18, 696. https://doi.org/10.3390/cancers18040696
  7. LIFEx-texture: Amrane, K., Cabarrou, B., Le Meur, C. et al. Prognostic value of TMTV and Dmax calculated from 18F-fluorodeoxyglucose positron emission tomography images in metastatic cutaneous melanoma treated with immune checkpoint blockade. Eur J Nucl Med Mol Imaging (2026). https://doi.org/10.1007/s00259-025-07727-9
  8. LIFEx-texture: Dambrain, A., Lacombe, M., Dufour, P.A. et al. Clinical value of artificial intelligence in reducing PET image acquisition time: routine clinical validation using qualitative, quantitative, and radiomic analysis on a cohort of 282 patients undergoing [18F]FDG and [68Ga]Ga-PSMA-11 PET/CT. EJNMMI Phys (2026). https://doi.org/10.1186/s40658-026-00835-x
  9. LIFEx-texture: Müller, L.; Gairing, S.J.; Kloeckner, R.; Foerster, F.; Weinmann, A.; Mittler, J.; Stoehr, F.; Emrich, T.; Düber, C.; Galle, P.R.; et al. Baseline Splenic Volume Outweighs Immuno-Modulated Size Changes with Regard to Survival Outcome in Patients with Hepatocellular Carcinoma under Immunotherapy. Cancers 2022, 14, 3574. https://doi.org/10.3390/cancers14153574
  10. LIFEx-texture: Erba, P.A., Zanca, R., Sollini, M. et al. Diagnostic value and interpretability of [18F]FDG-PET/CT radiomics in infective endocarditis. EJNMMI Res 16, 33 (2026). https://doi.org/10.1186/s13550-025-01366-9
  11. LIFEx-texture: Tang, P., Li, M., Kang, Y., Wu, X. Development of an Individualized CT-based Radiomics Nomogram for Preoperative Differentiation Between Gastric Stromal Tumors and Gastric Leiomyomas. J. Vis. Exp. (228), e69527, https://doi.org/10.3791/69527 (2026).
  12. LIFEx-texture: Aksu, A., Us, A., Güç, Z.G. et al. Pseudotime-Based derivation of a PET-Based metabolic progression index for prognostic stratification in Extensive-Stage SCLC. Ann Nucl Med (2026). https://doi.org/10.1007/s12149-026-02162-8
  13. LIFEx-texture: Filippi, L., Bianconi, F., Marongiu, A. et al. SPECT-based radiomics in oncology: current evidence, technical challenges, and future directions. Clin Transl Imaging (2026). https://doi.org/10.1007/s40336-026-00750-2
  14. LIFEx-texture: Durmaz, Mustafa et al. CT-based radiomics for predicting PD-L1 expression status in non-small cell lung cancer using a hybrid machine learning model. Clinical Imaging, Volume 132, 110742. Cardiothoracic Imaging Volume 132, 110742 April 2026. https://doi.org/10.1016/j.clinimag.2026.110742
  15. LIFEx-texture: Tomoki Matsushita, Takayoshi Shinya, Toshihiko Nishisho, Koichi Sairyo, Yoshimi Bando, Hisanori Uehara and Masafumi Harada. The Diagnostic Ability of Texture Analysis in MR Imaging for Neurogenic Tumors. The Journal of Medical Investigation Vol. 72 2025. https://doi.org/10.2152/jmi.72.367
  16. LIFEx-MTV: Bosque, J.J., Molina-García, D., Pérez-Beteta, J. et al. Complementary prognostic value of hotspot-to-centroid distance (NHOCpeak) to SUVpeak in high-grade glioma. Ann Nucl Med (2026). https://doi.org/10.1007/s12149-025-02138-0
  17. LIFEx-MTV: Mirshahvalad, S.A., Kohan, A., Kulanthaivelu, R. et al. Added prognostic value of baseline pre-infusion 18F-FDG PET/CT in diffuse large B-cell lymphoma patients receiving chimeric antigen receptor T-cell therapy. Sci Rep 15, 39540 (2025). https://doi.org/10.1038/s41598-025-23159-9
  18. LIFEx-MTV: Dondi, F., Bertoli, M., Bellini, P. et al. Relationship between epicardial adipose tissue and coronary function evaluated with [13 N]NH3 PET/CT.. Int J Cardiovasc Imaging (2026). https://doi.org/10.1007/s10554-026-03612-0
  19. LIFEx-texture: Brunese, M.C., Clemente, A., De Chiara, M. et al. Radiomics of portal-phase ring enhancement: a novel imaging biomarker for bevacizumab response associated with overall survival rates. It might help with surgical decision-making in colorectal liver metastases?. Updates Surg (2026). https://doi.org/10.1007/s13304-025-02501-w
  20. LIFEx-texture: S. Hai et al., "Multimodal Radiomic Profiling Can Distinguish AT1- and AT2- Cell of Origin Lung Adenocarcinoma Models," 2025 21st International Symposium on Biomedical Image Processing and Analysis (SIPAIM), Pasto, Colombia, 2025, pp. 1-4, https://doi.org/10.1109/SIPAIM67325.2025.11283389
  21. LIFEx-texture: Feng J, Yang Y, Liu S, Qin A, Ye J, Jiang Y. [Predictive value of a multimodal radiomics model for central lymph node metastasis in clinically node-negative papillary thyroid microcarcinoma based on machine learning]. Zhejiang Da Xue Xue Bao Yi Xue Ban. 2026 Jan 21:1-10. Chinese. http://doi.org10.3724/zdxbyxb-2025-0648. Epub ahead of print. PMID: 41558987.
  22. LIFEx-texture: Xu, Q., Chen, Y., Song, J. et al. Prognostic value of baseline [68Ga]Ga‑DOTA‑NOC PET/CT in paediatric neuroblastoma. Eur J Nucl Med Mol Imaging (2026). https://doi.org/10.1007/s00259-025-07745-7
  23. LIFEx-texture: Crombé, A., Sitruk, L.A., Masson-Grehaigne, C. et al. Single and multi-site CT-based radiogenomics analysis of metastatic lung adenocarcinoma and correlations with outcome. Eur Radiol (2026). https://doi.org/10.1007/s00330-025-12292-8
  24. LIFEx-main: Yuqi Zhao, Ying Chen, Furui Duan, Xixi Li, Yu Zhao, Funing Yang, Ping Li. Non-invasive Prediction of CYP11B2-Defined Subtypes in Primary Aldosteronism Using 18F-Pentixafor PET/CT and Machine Learning. Academic Radiology, 2026, ISSN 1076-6332, https://doi.org/10.1016/j.acra.2025.12.026

Review (4):

  1. LIFEx-texture: Dang, Y.; Li, W.; Liu, Z.; Lei, J. Research Progress on the Application of Radiomics and Deep Learning in Liver Fibrosis. J. Imaging 2026, 12, 82. https://doi.org/10.3390/jimaging12020082
  2. LIFEx-texture: Anna D. Darenskaya, Bela M. Medvedeva, Tigran G. Gevorkyan, Alexander V. Petrovsky, Iuliia V. MolostovaTexture Analysis of MR Imaging for Hepatocellular Cancer Diagnosis: Reality and Prospects (Literature Review). Вопросы онкологии, 2025. Том 71, № 6. УДК 616.36-006. https://doi.org/10.37469/0507-3758-2025-71-6-OF-2405
  3. LIFEx-texture: Luo X, Wang Z, Lu D, Wang Y, Wang W, Dong P, Gou Y, Yang Y. Quality and accuracy of radiomics models in predicting KRAS status in lung cancer: a systematic review and meta-analysis. Front Oncol. 2026 Jan 9;15:1701122. https://doi.org/10.3389/fonc.2025.1701122. PMID: 41584578; PMCID: PMC12827150.

  4. LIFEx-texture: Avanzo M, Soda P, Bertolini M, Bettinelli A, Rancati T, Stancanello J, Rampado O, Pirrone G and Drigo A (2026) Robust radiomics: a review of guidelines for radiomics in medical imaging. Front. Radiol. 5:1701110. https://doi.org/10.3389/fradi.2025.1701110

Suppl. (5):

    1. LIFEx-texture: Zhala Mammadkhanli1, Selin Soyluoglu2, Ulku Korkmaz1, Funda Ustun1, Ali SARIKAYA. FDG PET/CT Based Radiomic and Metabolic Parameter Analysis in Gastric Cancer: Prognostic Predictive Power. 12th Balkan Congress of Nuclear Medicine, Athens, Greece, 08 May 2025, pp.72 (link)
    2. LIFEx-texture: Latipova Dilnoza Ilxomovna. Clinical case of pleomorfic adenoma of parotid gland managed by new algorithm. International conference on business & management 2026. https://doi.org/10.5281/zenodo.1842789
    3. LIFEx-texture: Коваленко А.А.1, Синицын В.Е. Сравнительная оценка клинического и клинико-радиомического анализа МРТ-исследований в прогнозировании мышечной инвазии при раке мочевого пузыря. Конгресс Российского общества рентгенологов и радиологов 5–7 ноября 2025 г., Москва. Тезисы https://doi.org/10.20862/0042-4676-2025-106-5-132-151
    4. LIFEx-MTV: Khaoula Chahdi. Modélisation mathématique en oncologie pour une meilleure prise en charge de l’hétérogénéité lésionnelle en imagerie médicale. Mathématiques [math]. Université de Bordeaux, 2025. Français. NNT:tel-05463931 https://inria.hal.science/tel-05463931/document
    5. LIFEx-texture: Righetti F, Barberis G, Bella G, Copeta FF, De Vita LVM, Gerlach D, Rabineau J, Migeotte PF, Tank J, Caiani EG. T2 mapping-based radiomic features show decreased myocardial extracellular matrix hydration during 60-day bed rest simulated microgravity. Eur Heart J Digit Health. 2026 Jan 12;7(Suppl 1):ztaf143.104. https://doi.org/10.1093/ehjdh/ztaf143.104. PMCID: PMC12795231