Article
Radiology, Nuclear Medicine & Medical Imaging
John P. Crandall, Tyler J. Fraum, MinYoung Lee, Linda Jiang, Perry Grigsby, Richard L. Wahl
Summary: The study aimed to evaluate the test-retest repeatability of radiomic features extracted from F-18-FDG PET images of cervical tumors, showing that shape, gray-level cooccurrence matrix, and neighborhood gray-level difference matrix features were consistently repeatable, while gray-level run length matrix and gray-level zone length matrix features were variable. Radiomic features extracted from VOI40 were more repeatable than those extracted from VOIWT. Changes in voxel size or SUV discretization parameters typically resulted in relatively small differences in feature value.
JOURNAL OF NUCLEAR MEDICINE
(2021)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Ludwig Opalinski, Sandra Schmitz, Pascal Van Eeckhout, Philippe d'Abadie, Olivier Gheysens
Summary: A 54-year-old man with a history of tonsillar squamous cell carcinoma and seropositive rheumatoid arthritis presented with right cervical pain and dysphagia. Imaging showed a necrotic lesion connected to the hyoid bone. Surgical resection revealed a necrotizing granuloma consistent with a rheumatoid nodule.
CLINICAL NUCLEAR MEDICINE
(2023)
Article
Multidisciplinary Sciences
Karim Amrane, Philippe Thuillier, David Bourhis, Coline Le Meur, Chloe Quere, Jean-Christophe Leclere, Marc Ferec, Veronique Jestin-Le Tallec, Laurent Doucet, Pierre Alemany, Pierre-Yves Salaun, Jean-Philippe Metges, Ulrike Schick, Ronan Abgral
Summary: The purpose of this study was to evaluate the prognostic value of the radiomic approach in FDG-PET/CT scans for patients with gastro-esophageal junction cancer (GEJC). A total of 97 consecutive patients with GEJC were included in this retrospective study, and their FDG-PET scans were analyzed using radiomic features. The results showed that certain radiomic parameters were significantly correlated with relapse-free survival and overall survival, suggesting that the radiomic approach can provide independent prognostic factors for survival in patients with GEJC.
SCIENTIFIC REPORTS
(2023)
Article
Biochemistry & Molecular Biology
Philippe Thuillier, Virginia Liberini, Osvaldo Rampado, Elena Gallio, Bruno De Santi, Francesco Ceci, Jasna Metovic, Mauro Papotti, Marco Volante, Filippo Molinari, Desiree Deandreis
Summary: Conventional PET parameters are able to distinguish between lung neuroendocrine carcinomas and lung neuroendocrine tumors, but do not differentiate between typical and atypical carcinoids. Radiomic features do not provide additional information in this context.
Article
Radiology, Nuclear Medicine & Medical Imaging
Arnaud Beddok, Fanny Orlhac, Valentin Calugaru, Laurence Champion, Catherine Ala Eddine, Christophe Nioche, Gilles Crehange, Irene Buvat
Summary: The purpose of this study was to evaluate whether radiomics from [18F]-FDG PET and/or MRI before re-irradiation could predict the occurrence and location of a second locoregional recurrence in patients with recurrent head and neck cancer. Radiomic features extracted from pre-reRT PET and MRI were used to create prediction models. The results showed that the models based on MRI and PET could predict the occurrence and location of recurrence with accuracy rates ranging from 78.5% to 84.5%.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Article
Medicine, General & Internal
Daniela Travaglio Morales, Carlos Huerga Cabrerizo, Itsaso Losantos Garcia, Monica Coronado Poggio, Jose Manuel Cordero Garcia, Elena Lopez Llobet, Domenico Monachello Araujo, Sebastian Rizkallal Monzon, Luis Dominguez Gadea
Summary: This study evaluated the prognostic value of pretreatment 18F-FDG PET radiomic features in patients with HGSOC. The results indicated that TLG, GLSZM_ZSNU, and GLRLM_RLNU were significantly associated with DFS. Survival curve analysis showed a significant difference in DFS between patients with GLRLM_RLNU > 7388.3 and those with lower values, indicating that these features may be used for predicting the prognosis of HGSOC patients.
Article
Radiology, Nuclear Medicine & Medical Imaging
Gwenaelle Creff, Franck Jegoux, Xavier Palard, Adrien Depeursinge, Ronan Abgral, Remi Marianowski, Jean-Christophe Leclere, Thomas Eugene, Olivier Malard, Renaud De Crevoisier, Anne Devillers, Joel Castelli
Summary: This study confirmed the association of nodal MTV and maximal tumor-node distance with the risk of DMFS, as well as a higher risk of death. These prognostic factors can guide individualized treatment.
JOURNAL OF NUCLEAR MEDICINE
(2022)
Article
Medicine, Research & Experimental
Lilang Lv, Bowen Xin, Yichao Hao, Ziyi Yang, Junyan Xu, Lisheng Wang, Xiuying Wang, Shaoli Song, Xiaomao Guo
Summary: This study developed and validated a survival model using machine learning, integrating clinico-biological features and F-18-FDG PET/CT radiomic features for predicting prognosis in colorectal cancer. The radiomics signature achieved the best result for prognostic prediction of 196 patients, while selected features accurately predicted the prognosis of 78 stage III patients. The models successfully stratified low-risk and high-risk groups, showing potential value in guiding precision treatment decisions for colorectal cancer.
JOURNAL OF TRANSLATIONAL MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Eirini Katirtzidou, Olivier Rager, Arthur Damien Varoquaux, Antoine Poncet, Vincent Lenoir, Nicolas Dulguerov, Alexandra Platon, Valentina Garibotto, Habib Zaidi, Minerva Becker
Summary: PET/MRI and PET/CT have high and similar diagnostic performance in detecting distant metastases and distant second primary cancers in patients with head and neck squamous cell carcinoma (HNSCC).
INSIGHTS INTO IMAGING
(2022)
Article
Oncology
Yu-Jin Lee, Nynke S. van den Berg, Heying Duan, E. Carmen Azevedo, Valentina Ferri, Marisa Hom, Roan C. Raymundo, Alex Valencia, Jessa Castillo, Bin Shen, Quan Zhou, Laura Freeman, Mary Ellen Koran, Michael J. Kaplan, A. Dimitrios Colevas, Fred M. Baik, Frederick T. Chin, Brock A. Martin, Andrei Iagaru, Eben L. Rosenthal
Summary: This study aimed to evaluate the safety and specificity of a tumor-targeted radiotracer in combination with PET/CT for improving the diagnostic accuracy of head and neck squamous cell carcinoma. The results showed that the combined use of two imaging techniques significantly improved the ability to detect HNSCC with higher specificity.
CLINICAL CANCER RESEARCH
(2022)
Article
Oncology
Wyanne A. Noortman, Nicolas Aide, Dennis Vriens, Lisa S. Arkes, Cornelis H. Slump, Ronald Boellaard, Jelle J. Goeman, Christophe M. Deroose, Jean-Pascal Machiels, Lisa F. Licitra, Renaud Lhommel, Alessandra Alessi, Erwin Woff, Karolien Goffin, Christophe Le Tourneau, Jocelyn Gal, Stephane Temam, Jean-Pierre Delord, Floris H. P. van Velden, Lioe-Fee de Geus-Oei
Summary: The study aimed to build and externally validate an [F-18]FDG PET radiomic model for predicting overall survival in patients with head and neck squamous cell carcinoma. Two multicentre datasets were used to train and validate the model, which included patients treated with preoperative afatinib. The radiomic model outperformed the clinical model in predicting overall survival.
Review
Radiology, Nuclear Medicine & Medical Imaging
Robert J. O'Shea, Chris Rookyard, Sam Withey, Gary J. R. Cook, Sophia Tsoka, Vicky Goh
Summary: Radiomic models offer potential for improving the assessment of oesophageal adenocarcinoma through quantitative medical image analysis. However, the selection and generalizability of these models remain challenges. Although radiomic models show promise in predicting and distinguishing clinical features of oesophageal adenocarcinoma, further improvements in sensitivity and generalizability are needed. Future research should prioritize the prospective validation of proposed models to facilitate their clinical translation.
INSIGHTS INTO IMAGING
(2022)
Article
Oncology
Yangmeihui Song, Fang Liu, Weiwei Ruan, Fan Hu, Muhsin H. Younis, Zairong Gao, Jie Ming, Tao Huang, Weibo Cai, Xiaoli Lan
Summary: PET/MR technology, combining MRI and PET capabilities, shows potential in achieving high diagnostic performance for refractory malignancies in DTC patients. Compared to PET/CT, PET/MR demonstrates better detection rates and sensitivity in assessing recurrent DTC lesions and lymph node metastases, providing more precise diagnostic information without additional ionizing radiation. Further studies and economic analysis are needed for scaling-up prospective applications.
Article
Oncology
Yan Li, Nanna Maria Sijtsema, Suzanne Petronella Maria de Vette, Roel Johannes Henricus Marinus Steenbakkers, Fan Zhang, Walter Noordzij, Lisa Van den Bosch, Johannes Albertus Langendijk, Lisanne Vania van Dijk
Summary: This study aimed to validate the predictive ability of PET image biomarkers (PET-IBMs) for late-xerostomia after radiotherapy. The results showed that the PET-P90 model and PET-Mean model performed well in predicting late-xerostomia, and their performance was better than the base model.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Medicine, General & Internal
Wyanne A. Noortman, Dennis Vriens, Charlotte D. Y. Mooij, Cornelis H. Slump, Erik H. Aarntzen, Anouk van Berkel, Henri J. L. M. Timmers, Johan Bussink, Tineke W. H. Meijer, Lioe-Fee de Geus-Oei, Floris H. P. van Velden
Summary: This study found that central necrosis significantly affects the radiomic features in PET analysis, with almost two-thirds of the features being affected. However, the predictive performances of the two delineation methods were comparable.
Article
Oncology
Salvatore Cozzi, Andrea Botti, Giorgia Timon, Gladys Blandino, Masoumeh Najafi, Moana Manicone, Lilia Bardoscia, Maria Paola Ruggieri, Patrizia Ciammella, Cinzia Iotti
Summary: This retrospective study evaluated the efficacy and safety of involved-pelvic-node SBRT for oligorecurrent prostate cancer and found it to be a safe and effective treatment with a 100% local control rate in the series. In addition, prognostic factors such as number of secondary lesions, time-to-nadir PSA, PSA nadir value, and the time interval between primary treatment and SBRT were identified. Future prospective randomized studies are needed to further understand oligorecurrent prostate cancer.
STRAHLENTHERAPIE UND ONKOLOGIE
(2022)
Article
Multidisciplinary Sciences
Giulia Besutti, Paolo Giorgi Rossi, Marta Ottone, Lucia Spaggiari, Simone Canovi, Filippo Monelli, Efrem Bonelli, Tommaso Fasano, Nicola Sverzellati, Andrea Caruso, Nicola Facciolongo, Giulia Ghidoni, Anna Simonazzi, Mauro Iori, Andrea Nitrosi, Stefania Fugazzaro, Stefania Costi, Stefania Croci, Elisabetta Teopompi, Annalisa Gallina, Marco Massari, Giovanni Dolci, Fabio Sampaolesi, Pierpaolo Pattacini, Carlo Salvarani
Summary: Inflammatory burden during COVID-19 is associated with residual lung CT abnormalities in severe COVID-19 pneumonia survivors, suggesting that inflammation is linked to short- and medium-term lung damage in COVID-19 patients.
SCIENTIFIC REPORTS
(2022)
Review
Environmental Sciences
Stefania Fugazzaro, Angela Contri, Otmen Esseroukh, Shaniko Kaleci, Stefania Croci, Marco Massari, Nicola Cosimo Facciolongo, Giulia Besutti, Mauro Iori, Carlo Salvarani, Stefania Costi
Summary: This systematic review investigates the effectiveness of rehabilitation interventions for individuals with post-acute COVID-19 syndrome (PACS). The study suggests that rehabilitation can improve dyspnea, anxiety, and kinesiophobia, although results on pulmonary function are inconsistent. However, improvements were detected in muscle strength, walking capacity, sit-to-stand performance, and quality of life. Further high-quality studies are needed to confirm these findings.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Chemistry, Multidisciplinary
Mauro Iori, Carlo Di Castelnuovo, Laura Verzellesi, Greta Meglioli, Davide Giosue Lippolis, Andrea Nitrosi, Filippo Monelli, Giulia Besutti, Valeria Trojani, Marco Bertolini, Andrea Botti, Gastone Castellani, Daniel Remondini, Roberto Sghedoni, Stefania Croci, Carlo Salvarani
Summary: This study aimed to develop robust prognostic models for mortality prediction of COVID-19 patients using radiomic and neural network features extracted from chest X-rays. The results showed that the prediction of COVID-19 mortality is robust in different scenarios.
APPLIED SCIENCES-BASEL
(2022)
Review
Oncology
Salvatore Cozzi, Emanuele Ali, Lilia Bardoscia, Masoumeh Najafi, Andrea Botti, Gladys Blandino, Lucia Giaccherini, Maria Paola Ruggieri, Matteo Augugliaro, Federico Iori, Angela Sardaro, Cinzia Iotti, Patrizia Ciammella
Summary: This paper reviews the use of SBRT in the treatment of mediastinal and hilar lymph node metastasis. Despite heterogeneity and data limitations, the study suggests that SBRT is a safe and effective option with good clinical outcomes. However, more prospective studies are needed for definitive conclusions.
Article
Chemistry, Multidisciplinary
Giacomo Feliciani, Claretta Guidi, Maria Luisa Belli, Vincenzo D'Errico, Emiliano Loi, Emilio Mezzenga, Anna Sarnelli
Summary: This study investigates the application of the DirectDensity(R) CT reconstruction algorithm in radiation therapy dose calculations and demonstrates its effectiveness in most clinical cases, enabling personalized radiotherapy workflows.
APPLIED SCIENCES-BASEL
(2022)
Article
Medicine, General & Internal
Lucia Merolle, Davide Schiroli, Daniela Farioli, Agnese Razzoli, Gaia Gavioli, Mauro Iori, Vando Piccagli, Daniele Lambertini, Maria Chiara Bassi, Roberto Baricchi, Chiara Marraccini
Summary: Intraoperative cell salvage reduces the need for blood transfusion in cancer surgery, but concerns about re-infusing cancer cells have hindered its use. This study monitored cancer cells in salvaged blood and showed that cell salvage does not concentrate proliferating cancer cells. Leucodepletion and irradiation steps preserve the quality of salvaged blood, making irradiation unnecessary. Prospective trials are needed to establish a consensus on the use of cell salvage in complex cancer surgery.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mauro Iori, Elisa Grassi, Lorenzo Piergallini, Greta Meglioli, Andrea Botti, Giada Sceni, Noemi Cucurachi, Laura Verzellesi, Domenico Finocchiaro, Annibale Versari, Beatrice Fraboni, Federica Fioroni
Summary: This study aimed to propose a new technique for monitoring and managing extravasation events during FDG PET/CT imaging by providing an early evaluation and correction to the estimated SUV value through an SUV correction coefficient. A cohort of 70 patients undergoing examinations was enrolled, and two portable detectors were secured on their arms to acquire dose-rate time curves. The proposed metrics allowed for the characterization of extravasation events and early SUV correction, highlighting the potential usefulness of this technique in clinical practice.
Article
Oncology
Lucia Mangone, Domenico Penna, Francesco Marinelli, Francesca Roncaglia, Isabella Bisceglia, Francesco Merli, Alessia Ruffini, Barbara Gamberi, Alessia Tieghi, Riccardo Valli, Laura Albertazzi, Mauro Iori, Paolo Giorgi Rossi, Claudia Vener, Fortunato Morabito, Antonino Neri, Stefano Luminari
Summary: The accurate registration of hematological malignancies (HMs) is challenging due to the de-hospitalization of patients and the transition to molecular diagnosis. However, the Reggio Emilia Province Cancer Registry (RE-CR) successfully registered HMs by adopting a software capable of automatically identifying suspected cases. The study highlights the importance of collecting information from multiple sources and the need for the digitalization of cancer registries to improve efficiency.
FRONTIERS IN ONCOLOGY
(2023)
Article
Computer Science, Information Systems
Laura Verzellesi, Andrea Botti, Marco Bertolini, Valeria Trojani, Gianluca Carlini, Andrea Nitrosi, Filippo Monelli, Giulia Besutti, Gastone Castellani, Daniel Remondini, Gianluca Milanese, Stefania Croci, Nicola Sverzellati, Carlo Salvarani, Mauro Iori
Summary: This study aims to propose a user-friendly and low-cost tool for COVID-19 mortality prediction using both machine learning and deep learning approaches.
Article
Medicine, General & Internal
Fabrizio Gozzi, Marco Bertolini, Pietro Gentile, Laura Verzellesi, Valeria Trojani, Luca De Simone, Elena Bolletta, Valentina Mastrofilippo, Enrico Farnetti, Davide Nicoli, Stefania Croci, Lucia Belloni, Alessandro Zerbini, Chantal Adani, Michele De Maria, Areti Kosmarikou, Marco Vecchi, Alessandro Invernizzi, Fiorella Ilariucci, Magda Zanelli, Mauro Iori, Luca Cimino
Summary: This cross-sectional single-center study investigated the ability of anterior segment optical coherence tomography (AS-OCT) to distinguish vitreous involvement due to vitreoretinal lymphoma (VRL) from vitritis in uveitis. AS-OCT images from 28 patients were analyzed using radiomics software, and a classification model was built using xgboost python function. The model achieved an 87% accuracy in diagnosing VRL or uveitis.
Article
Radiology, Nuclear Medicine & Medical Imaging
Giacomo Feliciani, Francesco Serra, Enrico Menghi, Fabio Ferroni, Anna Sarnelli, Carlo Feo, Maria Chiara Zatelli, Maria Rosaria Ambrosio, Melchiore Giganti, Aldo Carnevale
Summary: In this study, a radiomic signature was developed to classify benign lipid-poor adenomas, which can potentially reduce the number of unnecessary investigations. Different values of key radiomics features may be found in indeterminate adrenal lesions of benign and malignant nature.
EUROPEAN RADIOLOGY
(2023)
Article
Oncology
Marco Bertolini, Valeria Trojani, Andrea Botti, Noemi Cucurachi, Marco Galaverni, Salvatore Cozzi, Paolo Borghetti, Salvatore La Mattina, Edoardo Pastorello, Michele Avanzo, Alberto Revelant, Matteo Sepulcri, Chiara Paronetto, Stefano Ursino, Giulia Malfatti, Niccolo Giaj-Levra, Lorenzo Falcinelli, Cinzia Iotti, Mauro Iori, Patrizia Ciammella
Summary: This multi-centric study investigated the relationship between radiomic features extracted from pre-treatment CT and PET imaging and clinical outcomes for SBRT in early-stage NSCLC. Harmonized CT features and SVM models showed potential in predicting patient prognosis.