Browsing by Author "Valentini, Vincenzo"

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    Delphi Initiative for Early-Onset Colorectal Cancer (DIRECt) International Management Guidelines
    (Elsevier, 2023) Cavestro, Giulia Martina; Mannucci, Alessandro; Balaguer, Francesc; Hampel, Heather; Kupfer, Sonia S.; Repici, Alessandro; Sartore-Bianchi, Andrea; Seppälä, Toni T.; Valentini, Vincenzo; Boland, Clement Richard; Brand, Randall E.; Buffart, Tineke E.; Burke, Carol A.; Caccialanza, Riccardo; Cannizzaro, Renato; Cascinu, Stefano; Cercek, Andrea; Crosbie, Emma J.; Danese, Silvio; Dekker, Evelien; Daca-Alvarez, Maria; Deni, Francesco; Dominguez-Valentin, Mev; Eng, Cathy; Goel, Ajay; Guillem, Josè G.; Houwen, Britt B. S. L.; Kahi, Charles; Kalady, Matthew F.; Kastrinos, Fay; Kühn, Florian; Laghi, Luigi; Latchford, Andrew; Liska, David; Lynch, Patrick; Malesci, Alberto; Mauri, Gianluca; Meldolesi, Elisa; Møller, Pål; Monahan, Kevin J.; Möslein, Gabriela; Murphy, Caitlin C.; Nass, Karlijn; Ng, Kimmie; Oliani, Cristina; Papaleo, Enrico; Patel, Swati G.; Puzzono, Marta; Remo, Andrea; Ricciardiello, Luigi; Ripamonti, Carla Ida; Siena, Salvatore; Singh, Satish K.; Stadler, Zsofia K.; Stanich, Peter P.; Syngal, Sapna; Turi, Stefano; Urso, Emanuele Damiano; Valle, Laura; Vanni, Valeria Stella; Vilar, Eduardo; Vitellaro, Marco; You, Yi-Qian Nancy; Yurgelun, Matthew B.; Zuppardo, Raffaella Alessia; Stoffel, Elena M.; Associazione Italiana Familiarità Ereditarietà Tumori; Collaborative Group of the Americas on Inherited Gastrointestinal Cancer; European Hereditary Tumour Group; International Society for Gastrointestinal Hereditary Tumours; Medicine, School of Medicine
    Background & aims: Patients with early-onset colorectal cancer (eoCRC) are managed according to guidelines that are not age-specific. A multidisciplinary international group (DIRECt), composed of 69 experts, was convened to develop the first evidence-based consensus recommendations for eoCRC. Methods: After reviewing the published literature, a Delphi methodology was used to draft and respond to clinically relevant questions. Each statement underwent 3 rounds of voting and reached a consensus level of agreement of ≥80%. Results: The DIRECt group produced 31 statements in 7 areas of interest: diagnosis, risk factors, genetics, pathology-oncology, endoscopy, therapy, and supportive care. There was strong consensus that all individuals younger than 50 should undergo CRC risk stratification and prompt symptom assessment. All newly diagnosed eoCRC patients should receive germline genetic testing, ideally before surgery. On the basis of current evidence, endoscopic, surgical, and oncologic treatment of eoCRC should not differ from later-onset CRC, except for individuals with pathogenic or likely pathogenic germline variants. The evidence on chemotherapy is not sufficient to recommend changes to established therapeutic protocols. Fertility preservation and sexual health are important to address in eoCRC survivors. The DIRECt group highlighted areas with knowledge gaps that should be prioritized in future research efforts, including age at first screening for the general population, use of fecal immunochemical tests, chemotherapy, endoscopic therapy, and post-treatment surveillance for eoCRC patients. Conclusions: The DIRECt group produced the first consensus recommendations on eoCRC. All statements should be considered together with the accompanying comments and literature reviews. We highlighted areas where research should be prioritized. These guidelines represent a useful tool for clinicians caring for patients with eoCRC.
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    The Image Biomarker Standardization Initiative: Standardized Convolutional Filters for Reproducible Radiomics and Enhanced Clinical Insights
    (Radiological Society of North America, 2024) Whybra, Philip; Zwanenburg, Alex; Andrearczyk, Vincent; Schaer, Roger; Apte, Aditya P.; Ayotte, Alexandre; Baheti, Bhakti; Bakas, Spyridon; Bettinelli, Andrea; Boellaard, Ronald; Boldrini, Luca; Buvat, Irène; Cook, Gary J. R.; Dietsche, Florian; Dinapoli, Nicola; Gabryś, Hubert S.; Goh, Vicky; Guckenberger, Matthias; Hatt, Mathieu; Hosseinzadeh, Mahdi; Iyer, Aditi; Lenkowicz, Jacopo; Loutfi, Mahdi A. L.; Löck, Steffen; Marturano, Francesca; Morin, Olivier; Nioche, Christophe; Orlhac, Fanny; Pati, Sarthak; Rahmim, Arman; Rezaeijo, Seyed Masoud; Rookyard, Christopher G.; Salmanpour, Mohammad R.; Schindele, Andreas; Shiri, Isaac; Spezi, Emiliano; Tanadini-Lang, Stephanie; Tixier, Florent; Upadhaya, Taman; Valentini, Vincenzo; van Griethuysen, Joost J. M.; Yousefirizi, Fereshteh; Zaidi, Habib; Müller, Henning; Vallières, Martin; Depeursinge, Adrien; Pathology and Laboratory Medicine, School of Medicine
    Filters are commonly used to enhance specific structures and patterns in images, such as vessels or peritumoral regions, to enable clinical insights beyond the visible image using radiomics. However, their lack of standardization restricts reproducibility and clinical translation of radiomics decision support tools. In this special report, teams of researchers who developed radiomics software participated in a three-phase study (September 2020 to December 2022) to establish a standardized set of filters. The first two phases focused on finding reference filtered images and reference feature values for commonly used convolutional filters: mean, Laplacian of Gaussian, Laws and Gabor kernels, separable and nonseparable wavelets (including decomposed forms), and Riesz transformations. In the first phase, 15 teams used digital phantoms to establish 33 reference filtered images of 36 filter configurations. In phase 2, 11 teams used a chest CT image to derive reference values for 323 of 396 features computed from filtered images using 22 filter and image processing configurations. Reference filtered images and feature values for Riesz transformations were not established. Reproducibility of standardized convolutional filters was validated on a public data set of multimodal imaging (CT, fluorodeoxyglucose PET, and T1-weighted MRI) in 51 patients with soft-tissue sarcoma. At validation, reproducibility of 486 features computed from filtered images using nine configurations × three imaging modalities was assessed using the lower bounds of 95% CIs of intraclass correlation coefficients. Out of 486 features, 458 were found to be reproducible across nine teams with lower bounds of 95% CIs of intraclass correlation coefficients greater than 0.75. In conclusion, eight filter types were standardized with reference filtered images and reference feature values for verifying and calibrating radiomics software packages. A web-based tool is available for compliance checking.