Article
Radiology, Nuclear Medicine & Medical Imaging
Davide Tosi, Sara Pieropan, Maria Cattoni, Gianluca Bonitta, Sara Franzi, Paolo Mendogni, Andrea Imperatori, Nicola Rotolo, Massimo Castellani, Marco Cuzzocrea, Ilaria Schiorlin, Sabrina Casagrande, Diego De Palma, Mario Nosotti, Lorenzo Dominioni
Summary: This study found a significant correlation between F-18-FDG PET/CT metabolic parameters and disease-free survival in stage I adenocarcinoma patients, with SUVmean showing the highest accuracy in predicting recurrence. Analysis revealed a higher rate of recurrence-free survival in patients with specific values within a certain range.
CLINICAL NUCLEAR MEDICINE
(2021)
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
Otorhinolaryngology
Hale Aslan, Gul Cekin, Ercan Pinar, Mustafa Yazir, Abdulkadir Imre, Murat Songu, Akif Islek, Ibrahim Aladag, Ismail Semih Oncel
Summary: This study investigated the prognostic value of F-18-fluorodeoxyglucose positron emission tomography/computed tomography parameters in head and neck cancer patients, and found that these parameters were not associated with disease-free survival and overall survival.
BRAZILIAN JOURNAL OF OTORHINOLARYNGOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Louise M. Risor, Malene M. Clausen, Zaza Ujmajuridze, Mohammed Farhadi, Kim F. Andersen, Annika Loft, Jeppe Friborg, Andreas Kjaer
Summary: The study aimed to evaluate the prognostic value of uPAR PET/CT and compare it with F-18-FDG in head and neck cancer patients. The results showed promising results for the use of Ga-68-uPAR PET SUVmax in predicting relapse-free survival in these patients.
JOURNAL OF NUCLEAR MEDICINE
(2022)
Article
Otorhinolaryngology
Brendan C. Stack, Fenghai Duan, Rathan M. Subramaniam, Justin Romanoff, JoRean D. Sicks, Twyla Bartel, Chien Chen, Val J. Lowe
Summary: FDG-PET/CT is effective for assessing neck nodal disease. This study reports the risks and patterns of nodal disease based on primary site and nodal level, with oral cavity (level I), pharynx (level II), and larynx (level VI) being the levels at greatest risk for nodal disease in cN0.
OTOLARYNGOLOGY-HEAD AND NECK SURGERY
(2021)
Article
Biochemistry & Molecular Biology
Maria Morales-Lozano, Paula Rodriguez-Otero, Lidia Sancho, Jorge M. Nunez-Cordoba, Elena Prieto, Maria Marcos-Jubilar, Juan J. Rosales, Ana Alfonso, Edgar F. Guillen, Jesus San-Miguel, Maria J. Garcia-Velloso
Summary: This study compares the diagnostic accuracy and prognostic value of FDG and MET in multiple myeloma patients. The study finds that MET has higher sensitivity than FDG in detecting myeloma lesions. Additionally, the TMTV and TLMU of MET PET/CT have prognostic value in the evaluation of patients with multiple myeloma.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
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
Oncology
Guillemette Fouquet, Myriam Wartski, Amina Dechmi, Lise Willems, Benedicte Deau-Fischer, Patricia Franchi, Justine Descroocq, Paul Deschamps, Estelle Blanc-Autran, Jerome Clerc, Didier Bouscary, Sylvain Barreau, Nicolas Chapuis, Marguerite Vignon, Anne-Segolene Cottereau
Summary: Although anti-CD38 monoclonal antibodies have improved the prognosis of RRMM, some patients still experience early relapses with poor outcomes. This study evaluated the predictive value of FDG PET/CT parameters prior to anti-CD38 treatment in RRMM cases, showing that >3 FLs and the ISS score are associated with inferior PFS and OS, which can help identify an ultra-high-risk RRMM population.
Article
Oncology
Alessio Annovazzi, Sandra Rea, Daria Maccora, Laura Pizzuti, Gianluigi Ferretti, Patrizia Vici, Federico Cappuzzo, Rosa Sciuto
Summary: This retrospective study aimed to assess the role of [18F]-FDG PET/CT in predicting PFS and OS in breast cancer patients treated with CDK4/6i. The results showed that TMTV1 and Deauville score were independent prognostic factors for PFS, which could help physicians select patients who may need closer follow-up.
FRONTIERS IN ONCOLOGY
(2023)
Article
Hematology
Na Sun, Wenli Qiao, Yan Xing, Taisong Wang, Jinhua Zhao
Summary: The purpose of this study was to investigate the prognostic value of interim F-18-FDG PET/CT (I-PET) in adult follicular lymphoma (FL) patients treated with R-CHOP. The results showed that I-PET using the D-5PS criteria could not predict PFS in FL patients, but the variation in SUVmax between B-PET and I-PET was predictive of PFS.
ANNALS OF HEMATOLOGY
(2023)
Article
Oncology
Andrea G. Rockall, Tara D. Barwick, William Wilson, Naveena Singh, Nishat Bharwani, Aslam Sohaib, Marielle Nobbenhuis, Victoria Warbey, Marc Miquel, Dow-Mu Koh, Katja N. De Paepe, Pierre Martin-Hirsch, Sadaf Ghaem-Maghami, Christina Fotopoulou, Helen Stringfellow, Sudha Sundar, Ranjit Manchanda, Anju Sahdev, Allan Hackshaw, Gary J. Cook
Summary: The study compared FEC-PET/CT, FDG-PET/CT, and DW-MRI with conventional MRI for nodal staging accuracy in cervical and endometrial cancer patients. All imaging techniques had low sensitivity for detecting nodal metastases and cannot replace surgical nodal staging. FDG-PET/CT showed higher sensitivity in detecting nodal metastases compared to nodal size.
CLINICAL CANCER RESEARCH
(2021)
Article
Oncology
Brane Grambozov, Forough Kalantari, Mohsen Beheshti, Markus Stana, Josef Karner, Elvis Ruznic, Barbara Zellinger, Felix Sedlmayer, Gabriel Rinnerthaler, Franz Zehentmayr
Summary: This study aimed to assess whether quantitative pretreatment 18F-FDG-PET/CT parameters could predict prognostic clinical outcome of recurrent NSCLC patients who may benefit from ablative reirradiation. The study found that pretreatment tumor and metastastic lymph node MTV, TLG and tumor SUL peak significantly correlated with clinical outcome in recurrent NSCLC patients treated with reirradiationchemoimmunotherapy.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Medicine, General & Internal
Akram Al-Ibraheem, Ahmed Saad Abdlkadir, Dhuha Al-Adhami, Taher Abu Hejleh, Asem Mansour, Issa Mohamad, Malik E. Juweid, Ula Al-Rasheed, Nabeela Al-Hajaj, Dima Abu Laban, Enrique Estrada-Lobato, Omar Saraireh
Summary: This study aimed to compare the diagnostic accuracy of PET/CT and neck MRI in patients with laryngeal carcinoma and investigate the predictive value of PET/CT for survival outcomes. The results showed that PET/CT had higher sensitivity and accuracy for nodal metastasis than MRI. Additionally, PET parameters were significant prognostic factors for overall survival and progression-free survival. The study concluded that PET/CT improves nodal staging accuracy and provides valuable information for survival prognostication in laryngeal carcinoma.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Laure Michaud, Kurt Bantilan, Audrey Mauguen, Craig H. Moskowitz, Andrew D. Zelenetz, Heiko Schoder
Summary: This study aimed to evaluate the prognostic value of 18F-FDG PET/CT parameters in DLBCL patients. The study found that baseline metabolic tumor volume (MTV) and interim maximum standardized uptake value (Delta SUVmax) were important predictors for both PFS and OS. Combining interim Deauville score with interim Delta SUVmax can identify an extremely high-risk DLBCL population.
JOURNAL OF NUCLEAR MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hao-Jun Xie, Xue-Song Sun, Xu Zhang, Bei-Bei Xiao, Da-Feng Lin, Xiao-Ping Lin, Xiao-Fei Lv, Li-Zhi Liu, Feng Han, Ru-Hai Zou, Ji-Bin Li, Wei Fan, Qiu-Yan Chen, Hai-Qiang Mai, Lin-Quan Tang
Summary: The study evaluated the superiority of MRI, [F-18]FDG PET/CT, and M-PET/CT in prognostic stratification of nasopharyngeal carcinoma (NPC) patients based on long-term survival evidence. The results showed that MRI performed better in T stage, while [F-18]FDG PET/CT performed better in N and M stage. The TNM staging method involving T-MRI + N-PET/CT + M-PET/CT significantly improved NPC patients' long-term prognostic stratification.
EUROPEAN RADIOLOGY
(2023)
Article
Engineering, Biomedical
Carlos Sosa-Marrero, Renaud de Crevoisier, Alfredo Hernandez, Pierre Fontaine, Nathalie Rioux-Leclercq, Romain Mathieu, Alain Fautrel, Francois Paris, Oscar Acosta
Summary: The study developed a computational model of tumor response to radiotherapy and successfully predicted biochemical recurrence in prostate cancer. The simplified model could be utilized in the future for optimizing personalized fractionation schedules.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Review
Radiology, Nuclear Medicine & Medical Imaging
M. Boulanger, Jean-Claude Nunes, H. Chourak, A. Largent, S. Tahri, O. Acosta, R. De Crevoisier, C. Lafond, A. Barateau
Summary: This review of 57 studies focused on the generation of synthetic CT (sCT) from MRI data using deep learning methods for radiotherapy dose calculation. Most studies examined brain and pelvis regions, with satisfactory image and dose evaluations. Challenges for DL-based sCT generation methods include managing movement in abdominal and thoracic regions, standardizing sCT evaluations, and investigating multicenter impacts.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2021)
Review
Engineering, Biomedical
Martin A. Ebert, Sarah Gulliford, Oscar Acosta, Renaud de Crevoisier, Todd McNutt, Wilma D. Heemsbergen, Marnix Witte, Giuseppe Palma, Tiziana Rancati, Claudio Fiorino
Summary: Incorporating spatial dose distribution and its correlation with anatomy can lead to more robust predictions of toxicity and the development of more general NTCP models. Current research is moving towards computationally intensive methods like machine learning and neural networks for personalized treatment and expanding the solution space for radiation therapy.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Oncology
G. Creff, F. Jegoux, M-K Bendiane, E. Babin, I Licaj
Summary: Despite a good prognostic, up to 12.3% of TC survivors had not returned to work and 61.6% reported an income decline, 5 years post-diagnosis. Weight gain, fatigue, being a woman, and working-type arrangement were associated with a higher probability of not returning to work.
JOURNAL OF CANCER SURVIVORSHIP
(2022)
Article
Oncology
Gwenaelle Creff, Franck Jegoux, Marc Karim Bendiane, Emmanuel Babin, Idlir Licaj
Summary: This study assessed the social and sexual health of thyroid cancer survivors after 2- and 5-year follow-up, revealing that their quality of life is affected, especially in terms of sexual health. Factors such as depression, embarrassment regarding physical appearance post-treatment, and reduced gestures of affection were associated with decreased sexual desire among survivors.
SUPPORTIVE CARE IN CANCER
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
S. Tahri, A. Barateau, C. Cadin, H. Chourak, S. Ribault, F. Nozahic, O. Acosta, J. A. Dowling, P. B. Greer, A. Largent, C. Lafond, R. De Crevoisier, J. C. Nunes
Summary: The study on generating sCT images from MRI data using the Pix2Pix architecture shows that this method has the lowest imaging errors and similar dose uncertainties compared to other deep learning methods, making it a more superior option for prostate radiotherapy planning.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2022)
Article
Oncology
Hilda Chourak, Anais Barateau, Safaa Tahri, Capucine Cadin, Caroline Lafond, Jean-Claude Nunes, Adrien Boue-Rafle, Mathias Perazzi, Peter B. Greer, Jason Dowling, Renaud de Crevoisier, Oscar Acosta
Summary: The quality assurance of synthetic CT (sCT) is crucial for safe clinical transfer to an MRI-only radiotherapy planning workflow. This study proposes a population-based method to evaluate errors in sCT generation and analyze their impact on dose distribution. The proposed method accurately identifies the major discrepancies in sCT generation methods and highlights the heterogeneity of image and dose errors across the pelvic anatomy.
FRONTIERS IN ONCOLOGY
(2022)
Article
Physics, Multidisciplinary
Lucia Cubero, Joel Castelli, Antoine Simon, Renaud de Crevoisier, Oscar Acosta, Javier Pascau
Summary: This study trained a robust DL-based segmentation tool using a clinical partially labeled dataset for accurate delineation of organs at risk (OAR) in radiotherapy for head and neck cancer. The proposed method showed superior performance in segmenting fifteen OARs.
Article
Oncology
Lucia Cubero, Laura Garcia-Elcano, Eugenia Mylona, Adrien Boue-Rafle, Cesare Cozzarini, Maria Giulia Ubeira Gabellini, Tiziana Rancati, Claudio Fiorino, Renaud de Crevoisier, Oscar Acosta, Javier Pascau
Summary: This study proposed an automatic pipeline for intraprostatic urethra segmentation in CT images and compared the predictions to magnetic resonance (MR) contours. The dose to the urethra was analyzed and a slight deviation between the predicted and manual MR delineations was found.
PHYSICS & IMAGING IN RADIATION ONCOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jeremy Beaumont, Jurgen Fripp, Parnesh Raniga, Oscar Acosta, Jean-Christophe Ferre, Katie McMahon, Julie Trinder, Tobias Kober, Giulio Gambarota
Summary: The study aims to reduce the acquisition time of FLAWS MRI sequence by using a new sequence optimization based on Cartesian phyllotaxis k-space undersampling and compressed sensing reconstruction. It also demonstrates that T1 mapping can be performed with FLAWS at 3T. In-silico, in-vitro, and in-vivo experiments show that the proposed optimization reduces the acquisition time of a 1mm-isotropic full-brain scan from 8mins to 6mins without decreasing image quality.
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
(2023)
Proceedings Paper
Computer Science, Information Systems
Carlos Sosa-Marrero, Aurelien Briens, Pierre Fontaine, Bastien Rigaud, Renaud de Crevoisier, Oscar Acosta
Summary: Prostate cancer is typically treated with a standard radiation dose, but biochemical recurrence is still common. Hypofractionated treatments may have positive effects on tumor control. This study aimed to predict biochemical recurrence after standard fractionation using a mechanistic model and explore the impact of hypofractionated treatments for patients with biochemical failure. The results showed that hypofractionated schedules resulted in lower tumor cell numbers and decreased total doses for tumor control.
2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22)
(2022)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Guillaume Pelluet, Mira Rizkallah, Mickael Tardy, Oscar Acosta, Diana Mateus
Summary: This paper addresses the challenges in breast cancer diagnosis and lesion detection in mammograms by proposing supervised and weakly-supervised approaches. By extracting superpixels at different scales and introducing graph connections, the size and shape variability of lesions are better modeled. The proposed Graph Neural Network (GNN) combines information from different regions and learns features based on local textures, superpixels' geometrical distribution, and topological relations. The GNN is trained in a weakly-supervised manner for abnormality detection, resulting in a superpixelized heatmap of abnormality probabilities.
MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2022
(2022)
Article
Oncology
Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Daniel Abler, Joel Castelli, Oscar Acosta, Renaud De Crevoisier, Martin Vallieres, Mario Jreige, John O. Prior, Adrien Depeursinge
Summary: The majority of studies in the field of radiomics use contours from radiotherapy planning, which often overestimate the true tumoral volume. This study compares the performance of models using two types of contours and finds that using dedicated contours that accurately represent the tumor volume is important for predicting progression-free survival in radiomics studies.
CLINICAL AND TRANSLATIONAL RADIATION ONCOLOGY
(2022)
Proceedings Paper
Engineering, Biomedical
Hilda Chourak, Anais Barateau, Eugenia Mylona, Capucine Cadin, Caroline Lafond, Peter Greer, Jason Dowling, Renaud de Crevoisier, Oscar Acosta
Summary: A population voxel-based workflow was proposed to allow local assessment of errors in pCT generation from MRI. Deep learning methods were found to be superior in both global and local scores, with cortical bones identified as the main source of errors. This work paves the way for quality control procedures within the clinical workflow.
2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
(2021)
Proceedings Paper
Engineering, Biomedical
Carlos Sosa-Marrero, Pierre Fontaine, Eugenia Mylona, Khemara Gnep, Alfredo Hernandez, Francois Paris, Renaud de Crevoisier, Oscar Acosta
Summary: In prostate cancer radiotherapy, traditional radiomics approaches for predicting biochemical recurrence have limited performance. However, using a mechanistic in silico model of tumor growth and response to irradiation leads to significantly improved predictions compared to conventional radiomics approaches based on MRI features.
2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
(2021)