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  • LIFEx-Main: Müller, L., Kloeckner, R., Mähringer-Kunz, A. et al. Fully automated AI-based splenic segmentation for predicting survival and estimating the risk of hepatic decompensation in TACE patients with HCC. Eur Radiol (2022). (doi)
  • LIFEx-texture: Zhu S, Wang WT, Wu WC, Lou WH, Zeng MS, Rao SX. MR quantitative 3D shape analysis helps to distinguish mucinous cystic neoplasm from serous oligocystic adenoma. Diagn Interv Radiol 2022; (doi)
  • LIFEx-texture: Jang, S.J.; Lee, J.W.; Lee, J.-H.; Jo, I.Y.; Lee, S.M. Different Prognostic Values of Dual-Time-Point FDG PET/CT Imaging Features According to Treatment Modality in Patients with Non-Small Cell Lung Cancer. Tomography 2022, 8, 1066–1078 (doi)
  • LIFEx-COMP: Fiz, Francesco; Bini, Fabiano; Gabriele, Edoardo; Bottoni, Gianluca; Garrè, Maria Luisa; Marinozzi, Franco; Milanaccio, Claudia; Verrico, Antonio; Massollo, Michela; Bosio, Victoria; Lattuada, Marco; Rossi, Andrea; Ramaglia, Antonia; Puntoni, Matteo; Morana, Giovanni, Piccardo, Arnoldo. Role of Dynamic Parameters of 18F-DOPA PET/CT in Pediatric Gliomas, Clinical Nuclear Medicine: March 30, 2022 - Volume - Issue - 10.1097/RLU.0000000000004185 (doi)
  • LIFEx-texture: Uchida Y, Yoshida S, Arita Y, Shimoda H, Kimura K, Yamada I, Tanaka H, Yokoyama M, Matsuoka Y, Jinzaki M, Fujii Y. Apparent Diffusion Coefficient Map-Based Texture Analysis for the Differentiation of Chromophobe Renal Cell Carcinoma from Renal Oncocytoma. Diagnostics. 2022; 12(4):817 (doi)
  • LIFEx-texture: Fiz, F., Masci, C., Costa, G. et al. PET/CT-based radiomics of mass-forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival. Eur J Nucl Med Mol Imaging (2022) (doi)
  • LIFEx-texture: Beleù A, Autelitano D, Geraci L, Aluffi G, Cardobi N, De Robertis R, Martone E, Conci S, Ruzzenente A, D'Onofrio, Mirko. Radiofrequency ablation of hepatocellular carcinoma: CT texture analysis of the ablated area to predict local recurrence. European Journal of Radiology. 18 March 2022, 110250 (doi)
  • LIFEx-texture: T. Escobar, S. Vauclin, F. Orlhac, C. Nioche, P. Pineau, L. Champion, H. Brisse, I. Buvat. Voxel-wise supervised analysis of tumors with multimodal engineered features to highlight interpretable biological patterns. Medical Physics, 2022 18 March 2022 (doi)
  • LIFEx-texture: Alongi, P.; Stefano, A.; Comelli, A.; Spataro, A.; Formica, G.; Laudicella, R.; Lanzafame, H.; Panasiti, F.; Longo, C.; Midiri, F.; et al. Artificial Intelligence Applications on Restaging [ 18 F]FDG PET/CT in Metastatic Colorectal Cancer: A Preliminary Report of Morpho-Functional Radiomics Classification for Prediction of Disease Outcome. Appl. Sci. 2022, 12, 2941 (doi)
  • LIFEx-texture: Jo, J.-H.; Chung, H.W.; So, Y.; Yoo, Y.B.; Park, K.S.; Nam, S.E.; Lee, E.J.; Noh, W.C. FDG PET/CT to Predict Recurrence of Early Breast Invasive Ductal Carcinoma. Diagnostics 2022, 12, 694 (doi)
  • LIFEx-texture: Annovazzi, A., Ferraresi, V., Rea, S. et al. Correction to: Prognostic value of total metabolic tumour volume and therapy-response assessment by [18F]FDG PET/CT in patients with metastatic melanoma treated with BRAF/MEK inhibitors. Eur Radiol (2022) (doi)
  • LIFEx-texture: Cattell, R., Ying, J., Lei, L. et al. Preoperative prediction of lymph node metastasis using deep learning-based features. Vis. Comput. Ind. Biomed. Art 5, 8 (2022) (doi)
  • LIFEx-texture: Orkun Sarıoğlu, Fatma Ceren Sarıoğlu, Bahar Konuralp Atakul, Deniz Öztekin, Özgür Öztekin. The Role of Fetal MRI-based Texture Analysis in Differentiating Congenital Pulmonary Airway Malformation and Pulmonary Sequestration.  J Pediatr Res 2022;9(1):52-59 (doi)
  • LIFEx-texture: Cabini, R.F., Brero, F., Lancia, A. et al. Preliminary report on harmonization of features extraction process using the ComBat tool in the multi-center “Blue Sky Radiomics” study on stage III unresectable NSCLC. Insights Imaging 13, 38 (2022) (doi)
  • LIFEx-texture: Hasan Önner, Nazım Coşkun, Mustafa Erol, Meryem İlkay Eren Karanis. The Role of Histogram-Based Textural Analysis of 18F-FDG PET/CT in Evaluating Tumor Heterogeneity and Predicting the Prognosis of Invasive Lung Adenocarcinoma. Mol Imaging Radionucl Ther. 2022 Feb; 31(1): 33–41 (doi)
  • LIFEx-MTV: Ezgi Başak Erdoğan, Mehmet Aydın. Investigation of Added Value of Imaging Performed in a Prone Position to Standard 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography Imaging for Staging in Patients with Breast Cancer. Mol Imaging Radionucl Ther. 2022 Feb; 31(1): 23–32 (doi)
  • LIFEx-main: Ying, P., Chen, J., Ye, Y. et al. Adipose tissue is a predictor of 30-days mortality in patients with bloodstream infection caused by carbapenem-resistant Klebsiella pneumoniae. BMC Infect Dis 22, 173 (2022) (doi)
  • LIFEx-texture: Hasan Önner, Nazım Coşkun, Mustafa Erol, Meryem İlkay Eren Karanis. The Role of Histogram-Based Textural Analysis of 18 F-FDG PET/CT in Evaluating Tumor Heterogeneity and Predicting the Prognosis of Invasive Lung Adenocarcinoma. Mol Imaging Radionucl Ther 2022;31:33-41 (doi)
  • LIFEx-MTV: Gaia Ninatti, Martina Sollini, Beatrice Bono, Noemi Gozzi, Daniil Fedorov, Lidija Antunovic, Fabrizia Gelardi, Pierina Navarria, Letterio S. Politi, Federico Pessina, Arturo Chiti. Preoperative [11C]methionine PET to personalize treatment decisions in patients with lower-grade gliomas. Neuro-Oncology, 2022 (doi)
  • LIFEx-texture: Laudicella, R.; Comelli, A.; Liberini, V.; Vento, A.; Stefano, A.; Spataro, A.; Crocè, L.; Baldari, S.; Bambaci, M.; Deandreis, D.; et al. [ 68Ga]DOTATOC PET/CT Radiomics to Predict the Response in GEP-NETs Undergoing [177Lu]DOTATOC PRRT: The “Theragnomics” Concept. Cancers 2022, 14, 984 (doi)
  • LIFEx-Main: Lee, S.M.; Lee, J.W.; Kim, W.C.; Min, C.K.; Kim, E.S.; Jo, I.Y. Effects of Tumor-Rib Distance and Dose-Dependent Rib Volume on Radiation-Induced Rib Fractures in Patients with Breast Cancer. J. Pers. Med. 2022, 12, 240. (doi)
  • LIFEx-MTV: Jiang, C., Chen, K., Teng, Y. et al. Deep learning–based tumour segmentation and total metabolic tumour volume prediction in the prognosis of diffuse large B-cell lymphoma patients in 3D FDG-PET images. Eur Radiol (2022) (doi)
  • LIFEx-texture: Zhang, L., Zhao, H., Jiang, H. et al. Correction to: 18F‑FDG texture analysis predicts the pathological Fuhrman nuclear grade of clear cell renal cell carcinoma. Abdom Radiol (2022) (doi)
  • LIFEx-Main: Arnaud Beddok, Leslie Guzene, Alexandre Coutte, David Thomson, Sue Yom, Valentin Calugaru, Eivind Blais, Olivier Gilliot, Séverine Racadot, Yoann Pointreau, June Corry, Kenneth Jensen, Sandro Porceddu, Nazim Khalladi, Vianney Bastit, Audrey Lasne-Cardon, Pierre-Yves Marcy, Florent Carsuzaa, Christophe Nioche, Jean Bourhis, Julia Salleron, Thariat Juliette & on behalf of the GORTEC (2022) International assessment of interobserver reproducibility of flap delineation in head and neck carcinoma, Acta Oncologica (doi)
  • LIFEx-texture: Hasan Önner, Nazım Coşkun, Mustafa Erol, Meryem İlkay Eren Karanis. The Role of Histogram-Based Textural Analysis of 18 F-FDG PET/CT in Evaluating Tumor Heterogeneity and Predicting the Prognosis of Invasive Lung Adenocarcinoma. Mol Imaging Radionucl Ther 2022;31:33-41 DOI:10.4274/mirt.galenos.2021.79037 (doi)
  • LIFEx-texture: Тихонова В.С., Груздев И.С., Кондратьев Е.В., Михайлюк К.А., Кармазановский Г.Г. Differential diagnosis of pseudotumorous pancreatitis and pancreatic ductal adenocarcinoma: characteristics of contrast-enhanced CT and texture analysis. medical imaging. (doi)
  • LIFEx-texture: Zhou Y, Li J, Zhang X, Jia T, Zhang B, Dai N, Sang S and Deng S (2022) Prognostic Value of Radiomic Features of 18F-FDG PET/CT in Patients With B-Cell Lymphoma Treated With CD19/CD22 Dual-Targeted Chimeric Antigen Receptor T Cells. Front. Oncol. 12:834288. doi: 10.3389/fonc.2022.834288 (doi)
  • LIFEx-texture: Flaus, A.; Habouzit, V.; de Leiris, N.; Vuillez, J.-P.; Leccia, M.-T.; Simonson, M.; Perrot, J.-L.; Cachin, F.; Prevot, N. Outcome Prediction at Patient Level Derived from Pre-Treatment 18F-FDG PET Due to Machine Learning in Metastatic Melanoma Treated with Anti-PD1 Treatment. Diagnostics 2022, 12, 388 (doi)
  • LIFEx-texture: Dondi, F.; Pasinetti, N.; Gatta, R.; Albano, D.; Giubbini, R.; Bertagna, F. Comparison between Two Different Scanners for the Evaluation of the Role of 18 F-FDG PET/CT Semiquantitative Parameters and Radiomics Features in the Prediction of Final Diagnosis of Thyroid Incidentalomas. J. Clin. Med.2022, 11, 615. (doi)
  • LIFEx-MTV-texture: Pedraza, S., Seiffert, A.P., Sarandeses, P. et al. The value of metabolic parameters and textural analysis in predicting prognosis in locally advanced cervical cancer treated with chemoradiotherapy. Strahlenther Onkol (2022) (doi)
  • LIFEx-texture: Han, E.J.; O, J.H.; Yoon, H.; Ha, S.; Yoo, I.R.; Min, J.W.; Choi, J.-I.; Choi, B.-O.; Park, G.; Lee, H.H.; Jeon, Y.-W.; Min, G.-J.; Cho, S.-G., on behalf of Catholic University Lymphoma Group. Comparison of FDG PET/CT and Bone Marrow Biopsy Results in Patients with Diffuse Large B Cell Lymphoma with Subgroup Analysis of PET Radiomics. Diagnostics 2022, 12, 222 (doi)

 

About LIFEx (but not verified):

  • LIFEx-texture: Erol, M., Önner, H. & Küçükosmanoğlu, İ. Association of Fluorodeoxyglucose Positron Emission Tomography Radiomics Features with Clinicopathological Factors and Prognosis in Lung Squamous Cell Cancer. Nucl Med Mol Imaging (2022) (doi)
  • LIFEx-texture: Iafrate, F., Ciccarelli, F., Masci, G.M. et al. Predictive role of diffusion-weighted MRI in the assessment of response to total neoadjuvant therapy in locally advanced rectal cancer. Eur Radiol (2022) (doi)
  • LIFEx-texture: Agüloğlu N, Aksu A, Akyol M, Katgı N, Doksöz TÇ. Importance of pretreatment 18F-FDG PET/CT Texture analysis in predicting EGFR and ALK mutation in patients with non-small cell lung cancer. Nuklearmedizin. Nuclear medicine [Nuklearmedizin] 2022 Aug 17 (doi)
  • LIFEx-texture: Tikhonova VS, Karmazanovsky GG, Kondratyev EV, Gruzdev IS, Mikhaylyuk KA, Sinelnikov MY, Revishvili AS. Radiomics model-based algorithm for preoperative prediction of pancreatic ductal adenocarcinoma grade. Eur Radiol. 2022 Aug 20. doi: 10.1007/s00330-022-09046-1. Epub ahead of print. PMID: 35986774 (doi)
  • LIFEx-texture: Kirienko M. (2022) Imaging Biomarkers: Radiomics and the Use of Artificial Intelligence in Nuclear Oncology. In: Volterrani D., Erba P.A., Strauss H.W., Mariani G., Larson S.M. (eds) Nuclear Oncology. Springer, Cham (doi)
  • LIFEx-texture: Oğuz Lafcı, Pınar Celepli, Pelin Seher Öztekinn Pınar Nercis Koşa. DCE-MRI Radiomics Analysis in Differentiating Luminal A and Luminal B Breast Cancer Molecular Subtypes. Academic Radiology.  Published:May 17, 2022 (doi)
  • LIFEx-texture: DCE-MRI Radiomics Analysis in Differentiating Luminal A and Luminal B Breast Cancer Molecular Subtypes. Oğuz Lafcı, Pınar Celepli, Pelin Seher Öztekin, Pınar Nercis Koşar. Academic Radiology, 2022 (17 May 2022) (doi)
  • LIFEx-main: Park, J., Kang, S.K., Hwang, D. et al. Automatic Lung Cancer Segmentation in [18F]FDG PET/CT Using a Two-Stage Deep Learning Approach. Nucl Med Mol Imaging (2022) (doi)
  • LIFEx-texture: Anconina R, Ortega C, Metser U, Liu ZA, Elimova E, Allen M, Darling GE, Wong R, Taylor K, Yeung J, Chen EX, Swallow CJ, Jang RW, Veit-Haibach P. Combined 18F-FDG PET/CT Radiomics and Sarcopenia Score in Predicting Relapse-Free Survival and Overall Survival in Patients With Esophagogastric Cancer. Clin Nucl Med. 2022 May 11. (doi)
  • LIFEx-texture: Anconina R, Ortega C, Metser U, Liu ZA, Elimova E, Allen M, Darling GE, Wong R, Taylor K, Yeung J, Chen EX, Swallow CJ, Jang RW, Veit-Haibach P. Combined 18F-FDG PET/CT Radiomics and Sarcopenia Score in Predicting Relapse-Free Survival and Overall Survival in Patients With Esophagogastric Cancer. Clin Nucl Med. 2022 May 11. (doi)
  • LIFEx-texture: Aydos, Uğuray; Sever, Tayyibe; Vural, Özge; Topuz Türkcan, Büşra; Okur, Arzu; Akdemir, Ümit Özgür; Poyraz, Aylar; Pinarli, Faruk Güçlü; Atay, Lütfiye Özlem; Karadeniz, Ceyda. Prognostic value of fluorodeoxyglucose positron emission tomography derived metabolic parameters and textural features in pediatric sarcoma, Nuclear Medicine Communications: May 04, 2022 - Volume - Issue - 10.1097/MNM.0000000000001577 (doi)
  • LIFEx-main: Park, J., Kang, S.K., Hwang, D. et al. Automatic Lung Cancer Segmentation in [18F]FDG PET/CT Using a Two-Stage Deep Learning Approach. Nucl Med Mol Imaging (2022) (doi)
  • LIFEx-texture: Karahan Şen, Nazli Pinar; Alataş, Özkan; Gülcü, Aytaç; Özdoğan, Özhan; Derebek, Erkan; Çapa Kaya, Gamze. The role of volumetric and textural analysis of pretreatment 18F-fluorodeoxyglucose PET/computerized tomography images in predicting complete response to transarterial radioembolization in hepatocellular cancer, Nuclear Medicine Communications: May 04, 2022 - Volume - Issue - 10.1097/MNM.0000000000001572 (doi)
  • LIFEx-texture: M. M. Yunus, A. Sabarudin, N. I. Hamid, A. K. M. Yusof, P. N. E. Nohuddin and M. K. A. Karim, "Automated Classification of Atherosclerosis in Coronary Computed Tomography Angiography Images Based on Radiomics Study Using Automatic Machine Learning," 2022 International Conference on Electronics and Renewable Systems (ICEARS), 2022, pp. 1895-1903 (doi)
  • LIFEx-texture: Matsumoto, S., Arita, Y., Yoshida, S. et al. Utility of radiomics features of diffusion-weighted magnetic resonance imaging for differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma: model development and external validation. Abdom Radiol (2022) (doi)
  • LIFEx-texture: M. M. Yunus, A. Sabarudin, N. I. Hamid, A. K. M. Yusof, P. N. E. Nohuddin and M. K. A. Karim, "Automated Classification of Atherosclerosis in Coronary Computed Tomography Angiography Images Based on Radiomics Study Using Automatic Machine Learning," 2022 International Conference on Electronics and Renewable Systems (ICEARS), 2022, pp. 1895-1903, doi: 10.1109/ICEARS53579.2022.9752423 (doi)
  • LIFEx-texture: Okuda K, Saito H, Yamashita S, et al. Beads phantom for evaluating heterogeneity of SUV on 18 F-FDG PET images. Annals of nuclear medicine. April 2022 (doi)
  • LIFEx-texture: Sahin, S., Yildiz, G., Oguz, S.H. et al. Discrimination between non-functioning pituitary adenomas and hypophysitis using machine learning methods based on magnetic resonance imaging‑derived texture features. Pituitary (2022) (doi)
  • LIFEx-texture: Eleonora D'Arnese, Guido Walter Di Donato, Emanuele Del Sozzo, Martina Sollini, Donatella Sciuto, Marco Domenico Santambrogio. On the Automation of Radiomics-based Identification and Characterization of NSCLC. IEEE Journal of Biomedical and Health Informatics. 07 March 2022 (doi)
  • LIFEx-texture: Hideyuki orikai, Masanori Inoue, Jitsuro Tsukada, Koji Togawa, Yosuke Yamamoto, Manabu Hase, Masashi Tamura, Nobutake Ito, Shigeyoshi Soga, Seishi Nakatsuka, Masahiro Jinzaki, Comparison of foaming properties between Shirasu porous glass membrane device and Tessari’s three-way stopcock techniques for polidocanol and ethanolamine oleate foam production: A Benchtop Study. Journal of Vascular and Interventional Radiology 2022,  022/02/02, SN  - 1051-0443 (doi)
  • LIFEx-texture: Masci, G.M., Ciccarelli, F., Mattei, F.I. et al. Role of CT texture analysis for predicting peritoneal metastases in patients with gastric cancer. Radiol med (2022)(doi)
  • LIFEx-texture: Kelahan, L.C., Kim, D., Soliman, M. et al. Role of hepatic metastatic lesion size on inter-reader reproducibility of CT-based radiomics features. Eur Radiol (2022) (doi)
  • LIFEx-texture: Franzese, C., Cozzi, L., Badalamenti, M. et al. Radiomics-based prognosis classification for high-risk prostate cancer treated with radiotherapy. Strahlenther Onkol (2022) (doi)

 

About LIFEx (Failure to comply with the LIFEx license agreement):

  • Chae Hong Lim, Young Wha Koh, Seung Hyup Hyun and Su Jin Lee. A Machine Learning Approach Using PET/CT-based
    Radiomics for Prediction of PD-L1 Expression. ANTICANCER RESEARCH 42: 5875-5884 (2022) (doi)
    in Non-small Cell Lung Cancer
  • Rui-Fang Wang, Yan-Peng Li, Han-Yue Zhang, Sha-Sha Xu, Zhuo Wang, Xing-Min Han, Bao-Ping Liu. Sleep benefit in patients with Parkinson’s disease is associated with the dopamine transporter expression in putamen, Brain Research,
    2022, 148173, ISSN 0006-8993 (doi)
  • LIFEx-texture: Jing Jing Liu, Yan Zhou Wang, Na Chen, Qian Nan Wang, Li Liu, Ying Li, Ling Lei and Yi Wu. Hypothesis generation: Quantitative research to levatorani muscle injury based on MRI texture analysis. J. Obstet. Gynaecol. Res. 2022 (doi)
  • LIFEx-texture: Sanaat, A., Akhavanalaf, A., Shiri, I., Salimi, Y., Arabi, H., & Zaidi, H. (2022). Deep-TOF-PET: Deep learning-guided generation of time-of-flight from non-TOF brain PET images in the image and projection domains. Human Brain Mapping, 1–12 (doi)
  • LIFEx-texture: Tsai, Y.-L.; Chen, S.-W.; Kao, C.-H.; Cheng, D.-C. Neck Lymph Node Recurrence in HNC Patients Might Be Predicted before Radiotherapy Using Radiomics Extracted from CT Images and XGBoost Algorithm. J. Pers. Med. 2022, 12, 1377 (doi)
  • LIFEx-texture: Wang Q, Xu S, ZhangG, et al. Applying a CT texture analysis model trained with deep-learning reconstruction images to iterative reconstruction images in pulmonary nodule diagnosis. JApplClinMedPhys.2022;e13759 (doi)
  • LIFEx-texture: Amandine Crombé, Mathilde Lafon, Stéphanie Nougaret, Michèle Kind, Sophie Cousin. Ranking the most influential predictors of CT-based radiomics feature values in metastatic lung adenocarcinoma. European Journal of Radiology 155 (2022) 110472 (doi)
  • LIFEx-texture: Kenta Anai,Yoshiko Hayashida, Issei Ueda, Eri Hozuki, Yuuta Yoshimatsu, Jun Tsukamoto, Toshihiko Hamamura, Norihiro Onari, Takatoshi Aoki, Yukunori Korogi. The effect of CT texture‑based analysis using machine learning approaches on radiologists' performance in differentiating focal‑type autoimmune pancreatitis and pancreatic duct carcinoma. 
    Japanese Journal of Radiology, 2022 (doi)
  • LIFEx-texture: Tumay Bekci, Ismet Mirac Cakir, Serdar Aslan. Differentiation of affected and nonaffected ovaries in ovarian torsion with magnetic resonance imaging texture analysis. Rev. Assoc. Med. Bras. vol.68 no.5 São Paulo May 2022  Epub May 13, 2022 (doi)
  • LIFEx-texture: Sparacia, G., Parla, G., Cannella, R. et al. Brain magnetic resonance imaging radiomics features associated with hepatic encephalopathy in adult cirrhotic patients. Neuroradiology (2022). (doi)
  • LIFEx-texture: E. Abenavoli, F. Linguanti, M. Barbetti, F. Mungai, V. Miele, L. Nassi, B. Puccini, I. Romano, R. Santi, A. Passeri, R. Sciagrà, C. Talamonti, A. M Vannucchi, V. Berti. Machine-Learning Approach Using FDG-PET-based Radiomics in the Characterization of Mediastinal Bulky lymphomas.  Research Square, February 9th, 2022 (doi)
  • LIFEx-texture: PA Erba, M Sollini, R Zanca, L Cavinato, A Ragni, D Ten Hove, AWJM Glaudemans, MN Pizzi, A Roque, F Ieva, RHJA Slart, [18F]FDG-PET/CT radiomics in patients suspected of infective endocarditis, European Heart Journal - Cardiovascular Imaging, Volume 23, Issue Supplement_1, February 2022, jeab289.443, (doi)
  • LIFEx-texture: Mine Araz, Çiğdem Soydal, Pınar Gündüz, Ayça Kırmızı, Batuhan Bakırarar, Serpil Dizbay Sak, Elgin Özkan, Can Radiomics Analyses in 18 F-FDG PET/CT Images of Primary Breast Carcinoma Predict Hormone Receptor Status? Mol Imaging Radionucl Ther 2022;31:49-56 DOI:10.4274/mirt.galenos.2022.59140 (doi)