LANDINI, NICHOLAS
LANDINI, NICHOLAS
DIPARTIMENTO DI SCIENZE RADIOLOGICHE, ONCOLOGICHE E ANATOMO-PATOLOGICHE
A three-dimensional measurement method on MR arthrography of the hip to classify femoro-acetabular impingement
2021 Nardi, C.; De Falco, L.; Caracchini, G.; Calistri, L.; Mercatelli, L.; Cristin, S.; Lorini, C.; Cavigli, E.; Landini, N.; Orlandi, M.; Carulli, C.; Miele, V.
Advanced and traditional chest MRI sequence for the clinical assessment of systemic sclerosis related interstitial lung disease, compared to CT: disease extent analysis and correlations with pulmonary function tests
2023 Landini, Nicholas; Orlandi, Martina; Calistri, Linda; Nardi, Cosimo; Ciet, Pierluigi; Bellando-Randone, Silvia; Guiducci, Serena; Benkert, Thomas; Panebianco, Valeria; Morana, Giovanni; Matucci-Cerinic, Marco; Colagrande, Stefano
AI-assessed sarcopenia as an independent predictor of neoadjuvant chemotherapy outcomes in muscle-invasive bladder cancer
2026 Borrelli, Antonella; Novelli, Simone; Messina, Emanuele; Laschena, Ludovica; Dehghanpour, Ailin; Mezzapesa, Francesca; Landini, Nicholas; Simone, Giuseppe; Muscaritoli, Maurizio; Panebianco, Valeria
An update on appropriate lung management in patients with primary antibody deficiencies
2025 Buso, Helena; Costanzo, Giulia A M L; Monaco, Nicola; Landini, Nicholas; Firinu, Davide; Rattazzi, Marcello; Cinetto, Francesco; Milito, Cinzia
Artificial intelligence-assisted reading of non-contrast prostate MRI: application and concordance with expert interpretation in a screening population within the PROSA trial
2026 Messina, Emanuele; Borrelli, Antonella; Mezzapesa, Francesca; Laschena, Ludovica; Lucciola, Sara; Novelli, Simone; Landini, Nicholas; Pecoraro, Martina; Sciarra, Alessandro; Santini, Daniele; Panebianco, Valeria
Artificial Intelligence-Based Automated Detection of Chest X-ray Abnormalities as Support for Young Radiologists
2026 Giuliani, Luca; Masci, Giorgio Maria; Landini, Nicholas; Bosi, Leonardo; Nardi, Cosimo; De Cristofaro, Flaminia; Perotti, Stefano; Panebianco, Valeria; Giuliani, Paolo; Catalano, Carlo
Automated lung texture analysis for assessing interstitial lung disease in systemic sclerosis: Diagnostic accuracy in photon-counting-detector and conventional energy-integrating-detector CT
2026 Happe, Jasmin; Bruni, Cosimo; Jungblut, Lisa; Landini, Nicholas; Strappa, Cecilia; Bluethgen, Christian; Elhai, Muriel; Dobrota, Rucsandra; Mihai, Carina; Muraru, Sinziana; Hoffmann-Vold, Anna-Maria; Larici, Anna Rita; Frauenfelder, Thomas; Distler, Oliver; Kroschke, Jonas
Bilateral Spontaneous Hemothorax: A Rare Case of Primary Pleural Angiosarcoma and Literature Review
2025 1, Daniel Piamonti; 1, Silvia Giannone; 1, Letizia D’Antoni; 1, Arianna Sanna; Landini, Nicholas; 2, Angelina Pernazza; Bassi, Massimiliano; 3, Carolina Carillo; 3, Daniele Diso; 3, Federico Venuta; Graziano, Paolo; Pignatelli, Pasquale; Corbetta, Lorenzo; 1, Matteo Bonini Paolo Palange
Chest radiography findings of COVID-19 pneumonia: a specific pattern for a confident differential diagnosis
2021 Landini, N.; Colzani, G.; Ciet, P.; Tessarin, G.; Dorigo, A.; Bertana, L.; Felice, C.; Scaldaferri, L.; Orlandi, M.; Nardi, C.; Romagnoli, M.; Saba, L.; Rigoli, R.; Morana, G.
Common and uncommon CT findings in CVID-related GL-ILD: correlations with clinical parameters, therapeutic decisions and potential implications in the differential diagnosis
2023 Scarpa, Riccardo; Cinetto, Francesco; Milito, Cinzia; Gianese, Sabrina; Soccodato, Valentina; Buso, Helena; Garzi, Giulia; Carrabba, Maria; Messina, Emanuele; Panebianco, Valeria; Catalano, Carlo; Morana, Giovanni; Lougaris, Vassilios; Landini, Nicholas; Pia Bondioni, Maria
Comparison of quantitative lung ultrasound scores with automated quantitative CT: to overcome the ultrasound limitations
2025 Mohammad Reza Beigi, Davide; Pellegrino, Greta; Landini, Nicholas; Diana, Marco Emanuele; Paone, Gregorino; Bisconti, Ilaria; Di Ciommo, Francesca Romana; Cadar, Marius; Platania, Elena; Landro, Jacopo; Truglia, Simona; Panebianco, Valeria; Conti, Fabrizio; Riccieri, Valeria
Computed tomography - Histology correlations of unusual lung tumors
2016 Landini, N.; Milanese, G.; Zambrini, E.; Ariozzi, I.; Gnetti, L.; Carloni, A.; Nosenzo, F.; Silva, M.; Sverzellati, N.
Computed tomography findings of pneumonia resistant to empirical therapy in patients with hematologic diseases
2025 Giuliani, Luca; Landini, Nicholas; Masci, Giorgio Maria; Palladino, Silvia; Panebianco, Valeria; Raponi, Giammarco; Rocco, Alice Di; Gentile, Giuseppe; Catalano, Carlo
Computed tomography predictors of mortality or disease progression in systemic sclerosis–interstitial lung disease: a systematic review
2022 Landini, N.; Orlandi, M.; Bruni, C.; Carlesi, E.; Nardi, C.; Calistri, L.; Morana, G.; Tomassetti, S.; Colagrande, S.; Matucci-Cerinic, M.
CT evaluation of interstitial lung disease related to systemic sclerosis: visual versus automated assessment. A systematic review
2024 Landini, N.; Mattone, M.; De Nardo, C.; Ottaviani, F.; Reza Beigi, D. M.; Riccieri, V.; Orlandi, M.; Cipollari, S.; Catalano, C.; Panebianco, V.
Deep‐Learning Algorithm Diagnostic Support for Usual Interstitial Pneumonia Pattern Recognition in Fibrotic Interstitial Lung Disease
2026 Fermoyle, Caitlin C.; Mackintosh, John A.; Navaratnam, Vidya; Ellis, Samantha J.; Cooper, Wendy A.; Goh, Nicole S. L.; Moodley, Yuben; Reynolds, Paul N.; Zappala, Christopher J.; Hopkins, Peter; Glaspole, Ian N.; Corte, Tamera J.; Landini, Nicholas; Walsh, Simon L. F.
Development and analysis of a finite element model to simulate pulmonary emphysema in CT imaging
2015 Diciotti, S.; Nobis, A.; Ciulli, S.; Landini, N.; Mascalchi, M.; Sverzellati, N.; Innocenti, B.
Development of digital phantoms based on a finite element model to simulate low-attenuation areas in CT imaging for pulmonary emphysema quantification
2017 Diciotti, S.; Nobis, A.; Ciulli, S.; Landini, N.; Mascalchi, M.; Sverzellati, N.; Innocenti, B.
Diagnostic accuracy of imaging-guided biopsy of peripheral pulmonary lesions: a systematic review
2024 Magnini, Andrea; Fissi, Armitha; Cinci, Lorenzo; Calistri, Linda; Landini, Nicholas; Nardi, Cosimo
Diagnostic performance of lung ultrasound for systemic sclerosis-associated interstitial lung disease: an international cross-sectional study from two tertiary care centers
2026 Mohammad Reza Beigi, Davide; Loarce-Martos, Jesús; Pellegrino, Greta; Landini, Nicholas; Panebianco, Valeria; De La Puente Bujidos, Carlos; García De Vicente, Ana; Bisconti, Ilaria; Di Ciommo, Francesca Romana; Cadar, Marius; Arechavala Hita, Javier; Truglia, Simona; Bachiller-Corral, Javier; Conti, Fabrizio; Riccieri, Valeria
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A three-dimensional measurement method on MR arthrography of the hip to classify femoro-acetabular impingement | 2021 | Nardi, C.; De Falco, L.; Caracchini, G.; Calistri, L.; Mercatelli, L.; Cristin, S.; Lorini, C.; Cavigli, E.; Landini, N.; Orlandi, M.; Carulli, C.; Miele, V. | |
| Advanced and traditional chest MRI sequence for the clinical assessment of systemic sclerosis related interstitial lung disease, compared to CT: disease extent analysis and correlations with pulmonary function tests | 2023 | Landini, Nicholas; Orlandi, Martina; Calistri, Linda; Nardi, Cosimo; Ciet, Pierluigi; Bellando-Randone, Silvia; Guiducci, Serena; Benkert, Thomas; Panebianco, Valeria; Morana, Giovanni; Matucci-Cerinic, Marco; Colagrande, Stefano | |
| AI-assessed sarcopenia as an independent predictor of neoadjuvant chemotherapy outcomes in muscle-invasive bladder cancer | 2026 | Borrelli, Antonella; Novelli, Simone; Messina, Emanuele; Laschena, Ludovica; Dehghanpour, Ailin; Mezzapesa, Francesca; Landini, Nicholas; Simone, Giuseppe; Muscaritoli, Maurizio; Panebianco, Valeria | |
| An update on appropriate lung management in patients with primary antibody deficiencies | 2025 | Buso, Helena; Costanzo, Giulia A M L; Monaco, Nicola; Landini, Nicholas; Firinu, Davide; Rattazzi, Marcello; Cinetto, Francesco; Milito, Cinzia | |
| Artificial intelligence-assisted reading of non-contrast prostate MRI: application and concordance with expert interpretation in a screening population within the PROSA trial | 2026 | Messina, Emanuele; Borrelli, Antonella; Mezzapesa, Francesca; Laschena, Ludovica; Lucciola, Sara; Novelli, Simone; Landini, Nicholas; Pecoraro, Martina; Sciarra, Alessandro; Santini, Daniele; Panebianco, Valeria | |
| Artificial Intelligence-Based Automated Detection of Chest X-ray Abnormalities as Support for Young Radiologists | 2026 | Giuliani, Luca; Masci, Giorgio Maria; Landini, Nicholas; Bosi, Leonardo; Nardi, Cosimo; De Cristofaro, Flaminia; Perotti, Stefano; Panebianco, Valeria; Giuliani, Paolo; Catalano, Carlo | |
| Automated lung texture analysis for assessing interstitial lung disease in systemic sclerosis: Diagnostic accuracy in photon-counting-detector and conventional energy-integrating-detector CT | 2026 | Happe, Jasmin; Bruni, Cosimo; Jungblut, Lisa; Landini, Nicholas; Strappa, Cecilia; Bluethgen, Christian; Elhai, Muriel; Dobrota, Rucsandra; Mihai, Carina; Muraru, Sinziana; Hoffmann-Vold, Anna-Maria; Larici, Anna Rita; Frauenfelder, Thomas; Distler, Oliver; Kroschke, Jonas | |
| Bilateral Spontaneous Hemothorax: A Rare Case of Primary Pleural Angiosarcoma and Literature Review | 2025 | 1, Daniel Piamonti; 1, Silvia Giannone; 1, Letizia D’Antoni; 1, Arianna Sanna; Landini, Nicholas; 2, Angelina Pernazza; Bassi, Massimiliano; 3, Carolina Carillo; 3, Daniele Diso; 3, Federico Venuta; Graziano, Paolo; Pignatelli, Pasquale; Corbetta, Lorenzo; 1, Matteo Bonini Paolo Palange | |
| Chest radiography findings of COVID-19 pneumonia: a specific pattern for a confident differential diagnosis | 2021 | Landini, N.; Colzani, G.; Ciet, P.; Tessarin, G.; Dorigo, A.; Bertana, L.; Felice, C.; Scaldaferri, L.; Orlandi, M.; Nardi, C.; Romagnoli, M.; Saba, L.; Rigoli, R.; Morana, G. | |
| Common and uncommon CT findings in CVID-related GL-ILD: correlations with clinical parameters, therapeutic decisions and potential implications in the differential diagnosis | 2023 | Scarpa, Riccardo; Cinetto, Francesco; Milito, Cinzia; Gianese, Sabrina; Soccodato, Valentina; Buso, Helena; Garzi, Giulia; Carrabba, Maria; Messina, Emanuele; Panebianco, Valeria; Catalano, Carlo; Morana, Giovanni; Lougaris, Vassilios; Landini, Nicholas; Pia Bondioni, Maria | |
| Comparison of quantitative lung ultrasound scores with automated quantitative CT: to overcome the ultrasound limitations | 2025 | Mohammad Reza Beigi, Davide; Pellegrino, Greta; Landini, Nicholas; Diana, Marco Emanuele; Paone, Gregorino; Bisconti, Ilaria; Di Ciommo, Francesca Romana; Cadar, Marius; Platania, Elena; Landro, Jacopo; Truglia, Simona; Panebianco, Valeria; Conti, Fabrizio; Riccieri, Valeria | |
| Computed tomography - Histology correlations of unusual lung tumors | 2016 | Landini, N.; Milanese, G.; Zambrini, E.; Ariozzi, I.; Gnetti, L.; Carloni, A.; Nosenzo, F.; Silva, M.; Sverzellati, N. | |
| Computed tomography findings of pneumonia resistant to empirical therapy in patients with hematologic diseases | 2025 | Giuliani, Luca; Landini, Nicholas; Masci, Giorgio Maria; Palladino, Silvia; Panebianco, Valeria; Raponi, Giammarco; Rocco, Alice Di; Gentile, Giuseppe; Catalano, Carlo | |
| Computed tomography predictors of mortality or disease progression in systemic sclerosis–interstitial lung disease: a systematic review | 2022 | Landini, N.; Orlandi, M.; Bruni, C.; Carlesi, E.; Nardi, C.; Calistri, L.; Morana, G.; Tomassetti, S.; Colagrande, S.; Matucci-Cerinic, M. | |
| CT evaluation of interstitial lung disease related to systemic sclerosis: visual versus automated assessment. A systematic review | 2024 | Landini, N.; Mattone, M.; De Nardo, C.; Ottaviani, F.; Reza Beigi, D. M.; Riccieri, V.; Orlandi, M.; Cipollari, S.; Catalano, C.; Panebianco, V. | |
| Deep‐Learning Algorithm Diagnostic Support for Usual Interstitial Pneumonia Pattern Recognition in Fibrotic Interstitial Lung Disease | 2026 | Fermoyle, Caitlin C.; Mackintosh, John A.; Navaratnam, Vidya; Ellis, Samantha J.; Cooper, Wendy A.; Goh, Nicole S. L.; Moodley, Yuben; Reynolds, Paul N.; Zappala, Christopher J.; Hopkins, Peter; Glaspole, Ian N.; Corte, Tamera J.; Landini, Nicholas; Walsh, Simon L. F. | |
| Development and analysis of a finite element model to simulate pulmonary emphysema in CT imaging | 2015 | Diciotti, S.; Nobis, A.; Ciulli, S.; Landini, N.; Mascalchi, M.; Sverzellati, N.; Innocenti, B. | |
| Development of digital phantoms based on a finite element model to simulate low-attenuation areas in CT imaging for pulmonary emphysema quantification | 2017 | Diciotti, S.; Nobis, A.; Ciulli, S.; Landini, N.; Mascalchi, M.; Sverzellati, N.; Innocenti, B. | |
| Diagnostic accuracy of imaging-guided biopsy of peripheral pulmonary lesions: a systematic review | 2024 | Magnini, Andrea; Fissi, Armitha; Cinci, Lorenzo; Calistri, Linda; Landini, Nicholas; Nardi, Cosimo | |
| Diagnostic performance of lung ultrasound for systemic sclerosis-associated interstitial lung disease: an international cross-sectional study from two tertiary care centers | 2026 | Mohammad Reza Beigi, Davide; Loarce-Martos, Jesús; Pellegrino, Greta; Landini, Nicholas; Panebianco, Valeria; De La Puente Bujidos, Carlos; García De Vicente, Ana; Bisconti, Ilaria; Di Ciommo, Francesca Romana; Cadar, Marius; Arechavala Hita, Javier; Truglia, Simona; Bachiller-Corral, Javier; Conti, Fabrizio; Riccieri, Valeria |