1
|
Ferrari M, Mularoni F, Taboni S, Crosetti E, Pessina C, Carobbio ALC, Montalto N, Marchi F, Vural A, Paderno A, Caprioli S, Gaudioso P, Fermi M, Rigoni F, Saccardo T, Contro G, Ruaro A, Lo Manto A, Varago C, Baldovin M, Bandolin L, Filauro M, Sampieri C, Missale F, Ioppi A, Carta F, Ramanzin M, Ravanelli M, Maiolo V, Bertotto I, Del Bon F, Lancini D, Mariani C, Marrosu V, Tatti M, Cağlı S, Yüce I, Gündoğ M, Dogan S, Anile G, Gottardi C, Busato F, Vallin A, Gennarini F, Bossi P, Ghi MG, Lionello M, Zanoletti E, Marioni G, Maroldi R, Mattioli F, Puxeddu R, Bertolin A, Presutti L, Piazza C, Succo G, Peretti G, Nicolai P. How reliable is assessment of true vocal cord-arytenoid unit mobility in patients affected by laryngeal cancer? a multi-institutional study on 366 patients from the ARYFIX collaborative group. Oral Oncol 2024; 152:106744. [PMID: 38520756 DOI: 10.1016/j.oraloncology.2024.106744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 03/01/2024] [Accepted: 03/05/2024] [Indexed: 03/25/2024]
Abstract
PURPOSE In clinical practice the assessment of the "vocal cord-arytenoid unit" (VCAU) mobility is crucial in the staging, prognosis, and choice of treatment of laryngeal squamous cell carcinoma (LSCC). The aim of the present study was to measure repeatability and reliability of clinical assessment of VCAU mobility and radiologic analysis of posterior laryngeal extension. METHODS In this multi-institutional retrospective study, patients with LSCC-induced impairment of VCAU mobility who received curative treatment were included; pre-treatment endoscopy and contrast-enhanced imaging were collected and evaluated by raters. According to their evaluations, concordance, number of assigned categories, and inter- and intra-rater agreement were calculated. RESULTS Twenty-two otorhinolaryngologists evaluated 366 videolaryngoscopies (total evaluations: 2170) and 6 radiologists evaluated 237 imaging studies (total evaluations: 477). The concordance of clinical rating was excellent in only 22.7% of cases. Overall, inter- and intra-rater agreement was weak. Supraglottic cancers and transoral endoscopy were associated with the lowest inter-observer reliability values. Radiologic inter-rater agreement was low and did not vary with imaging technique. Intra-rater reliability of radiologic evaluation was optimal. CONCLUSIONS The current methods to assess VCAU mobility and posterior extension of LSCC are flawed by weak inter-observer agreement and reliability. Radiologic evaluation was characterized by very high intra-rater agreement, but weak inter-observer reliability. The relevance of VCAU mobility assessment in laryngeal oncology should be re-weighted. Patients affected by LSCC requiring imaging should be referred to dedicated radiologists with experience in head and neck oncology.
Collapse
Affiliation(s)
- M Ferrari
- Otorhinolaryngology and Head and Neck Unit, Department of Neuroscience, Azienda Ospedale Università di Padova, Padova, Italy.
| | - F Mularoni
- Otorhinolaryngology and Head and Neck Unit, Department of Neuroscience, Azienda Ospedale Università di Padova, Padova, Italy
| | - S Taboni
- Otorhinolaryngology and Head and Neck Unit, Department of Neuroscience, Azienda Ospedale Università di Padova, Padova, Italy
| | - E Crosetti
- Otorhinolaryngology Department - Head Neck Cancer Unit, San Giovanni Bosco Hospital, Turin, Italy
| | - C Pessina
- Radiology Unit, Sant'Antonio Hospital, University of Padova, Padova, Italy
| | - A L C Carobbio
- Otorhinolaryngology and Head and Neck Unit, Department of Neuroscience, Azienda Ospedale Università di Padova, Padova, Italy
| | - N Montalto
- Otorhinolaryngology and Head and Neck Unit, Department of Neuroscience, Azienda Ospedale Università di Padova, Padova, Italy
| | - F Marchi
- Unit of Otorhinolaryngology, Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16121 Genoa, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, Genoa, Italy
| | - A Vural
- Otorhinolaryngology Unit, Istanbul University - Cerrahpasa, Cerrahpasa Medical Faculty, Istanbul, Turkey
| | - A Paderno
- IRCCS Humanitas Research Hospital, via Manzoni 56, 20089 Rozzano, Milan, Italy
| | - S Caprioli
- Radiology Unit, San Martino Hospital, Genoa, Italy
| | - P Gaudioso
- Otorhinolaryngology and Head and Neck Unit, Department of Neuroscience, Azienda Ospedale Università di Padova, Padova, Italy
| | - M Fermi
- Otorhinolaryngology Unit, Azienda Ospedaliera Universitaria di Bologna IRCCS, Bologna, Italy; Department of Surgical and Medical Sciences, University of Bologna, Bologna, Italy
| | - F Rigoni
- Otorhinolaryngology and Head and Neck Unit, Department of Neuroscience, Azienda Ospedale Università di Padova, Padova, Italy
| | - T Saccardo
- Otorhinolaryngology and Head and Neck Unit, Department of Neuroscience, Azienda Ospedale Università di Padova, Padova, Italy
| | - G Contro
- Otorhinolaryngology and Head and Neck Unit, Department of Neuroscience, Azienda Ospedale Università di Padova, Padova, Italy
| | - A Ruaro
- Otorhinolaryngology and Head and Neck Unit, Department of Neuroscience, Azienda Ospedale Università di Padova, Padova, Italy
| | - A Lo Manto
- Otorhinolaryngology Unit, Infermi Hospital, Rimini, Italy
| | - C Varago
- Otorhinolaryngology Unit, Vittorio Veneto Hospital, Treviso, Italy
| | - M Baldovin
- Otorhinolaryngology Unit, San Martino di Belluno Hospital, Belluno, Italy
| | - L Bandolin
- Otorhinolaryngology Unit, Hospital of Santorso, Vicenza, Italy
| | - M Filauro
- Unit of Otorhinolaryngology, Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16121 Genoa, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, Genoa, Italy
| | - C Sampieri
- Department of Experimental Medicine (DIMES), University of Genoa, Italy; Unit of Head and Neck Tumors, Hospital Clínic, Barcelona, Spain
| | - F Missale
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, the Netherlands
| | - A Ioppi
- Department of Otorhinolaryngology-Head and Neck Surgery, "S. Chiara" Hospital, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy
| | - F Carta
- Otorhinolaryngology Unit, Azienda Ospedaliero-Universitaria di Cagliari, Cagliari, Italy
| | - M Ramanzin
- Radiology Unit, Hospital of Vicenza, Vicenza, Italy
| | - M Ravanelli
- Radiology Unit, ASST Spedali Civili di Brescia, University of Brescia, Brescia, Italy
| | - V Maiolo
- Pediatric and Adult Cardiothoracic and Vascular, Oncohematologic and Emergency Radiology Unit (IRCCS AOUBO), University of Bologna, Italy
| | - I Bertotto
- Radiology Unit, IRCCS Istituto di Candiolo, Turin, Italy
| | - F Del Bon
- Otorhinolaryngology Unit, ASST Spedali Civili di Brescia, University of Brescia, Brescia, Italy
| | - D Lancini
- Otorhinolaryngology Unit, ASST Spedali Civili di Brescia, University of Brescia, Brescia, Italy
| | - C Mariani
- Otorhinolaryngology Unit, Azienda Ospedaliero-Universitaria di Cagliari, Cagliari, Italy
| | - V Marrosu
- Otorhinolaryngology Unit, Azienda Ospedaliero-Universitaria di Cagliari, Cagliari, Italy
| | - M Tatti
- Otorhinolaryngology Unit, Azienda Ospedaliero-Universitaria di Cagliari, Cagliari, Italy
| | - S Cağlı
- Otorhinolaryngology Unit, Erciyes University, Kayseri, Turkey
| | - I Yüce
- Otorhinolaryngology Unit, Erciyes University, Kayseri, Turkey
| | - M Gündoğ
- Department of Radiation Oncology, Erciyes University, Kayseri, Turkey
| | - S Dogan
- Department of Radiology, Erciyes University, Kayseri, Turkey
| | - G Anile
- Unit of Medical Oncology 2, "Istituto Oncologico Veneto", Padova, Italy
| | - C Gottardi
- Unit of Medical Oncology 2, "Istituto Oncologico Veneto", Padova, Italy
| | - F Busato
- Unit of Radiation Oncology, Policlinico Abano, Padova, Italy
| | - A Vallin
- Unit of Otorhinolaryngology, Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16121 Genoa, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, Genoa, Italy
| | - F Gennarini
- Otorhinolaryngology Unit, ASST Spedali Civili di Brescia, University of Brescia, Brescia, Italy
| | - P Bossi
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele, Milan, Italy; IRCCS Humanitas Research Hospital, via Manzoni 56, 20089 Rozzano, Milan, Italy
| | - M G Ghi
- Unit of Medical Oncology 2, "Istituto Oncologico Veneto", Padova, Italy
| | - M Lionello
- Otorhinolaryngology Unit, Vittorio Veneto Hospital, Treviso, Italy
| | - E Zanoletti
- Otorhinolaryngology and Head and Neck Unit, Department of Neuroscience, Azienda Ospedale Università di Padova, Padova, Italy
| | - G Marioni
- Otorhinolaryngology and Head and Neck Unit, Department of Neuroscience, Azienda Ospedale Università di Padova, Padova, Italy
| | - R Maroldi
- Radiology Unit, ASST Spedali Civili di Brescia, University of Brescia, Brescia, Italy
| | - F Mattioli
- Otorhinolaryngology Unit, University of Modena, Modena, Italy
| | - R Puxeddu
- Otorhinolaryngology Unit, Azienda Ospedaliero-Universitaria di Cagliari, Cagliari, Italy; King's College Hospital London, Dubai, United Arab Emirates
| | - A Bertolin
- Otorhinolaryngology Unit, Vittorio Veneto Hospital, Treviso, Italy
| | - L Presutti
- Otorhinolaryngology Unit, Azienda Ospedaliera Universitaria di Bologna IRCCS, Bologna, Italy; Department of Surgical and Medical Sciences, University of Bologna, Bologna, Italy
| | - C Piazza
- Otorhinolaryngology Unit, ASST Spedali Civili di Brescia, University of Brescia, Brescia, Italy
| | - G Succo
- Otorhinolaryngology Department - Head Neck Cancer Unit, San Giovanni Bosco Hospital, Turin, Italy; Oncology Department, University of Turin, Turin, Italy
| | - G Peretti
- Unit of Otorhinolaryngology, Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16121 Genoa, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, Genoa, Italy
| | - P Nicolai
- Otorhinolaryngology and Head and Neck Unit, Department of Neuroscience, Azienda Ospedale Università di Padova, Padova, Italy
| |
Collapse
|
2
|
Sampieri C, Ioppi A, Costantino A. Comments on: "Vocal Cord Leukoplakia Classification Using Siamese Network Under Small Samples of White Light Endoscopy Images". Otolaryngol Head Neck Surg 2024. [PMID: 38385676 DOI: 10.1002/ohn.690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 01/22/2024] [Accepted: 01/26/2024] [Indexed: 02/23/2024]
Affiliation(s)
- Claudio Sampieri
- Department of Experimental Medicine (DIMES), University of Genoa, Genoa, Italy
- Functional Unit of Head and Neck Tumors, Hospital Clínic, Barcelona, Spain
- Otorhinolaryngology Department, Hospital Clínic, Barcelona, Spain
| | - Alessandro Ioppi
- Department of Otorhinolaryngology-Head and Neck Surgery, "S. Chiara" Hospital, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy
| | - Andrea Costantino
- Department of Otolaryngology-Head and Neck Surgery, AdventHealth Orlando, 410 Celebration Place, Celebration, Florida, USA
| |
Collapse
|
3
|
Sampieri C, Azam MA, Ioppi A, Baldini C, Moccia S, Kim D, Tirrito A, Paderno A, Piazza C, Mattos LS, Peretti G. Real-Time Laryngeal Cancer Boundaries Delineation on White Light and Narrow-Band Imaging Laryngoscopy with Deep Learning. Laryngoscope 2024. [PMID: 38174772 DOI: 10.1002/lary.31255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 12/05/2023] [Accepted: 12/11/2023] [Indexed: 01/05/2024]
Abstract
OBJECTIVE To investigate the potential of deep learning for automatically delineating (segmenting) laryngeal cancer superficial extent on endoscopic images and videos. METHODS A retrospective study was conducted extracting and annotating white light (WL) and Narrow-Band Imaging (NBI) frames to train a segmentation model (SegMENT-Plus). Two external datasets were used for validation. The model's performances were compared with those of two otolaryngology residents. In addition, the model was tested on real intraoperative laryngoscopy videos. RESULTS A total of 3933 images of laryngeal cancer from 557 patients were used. The model achieved the following median values (interquartile range): Dice Similarity Coefficient (DSC) = 0.83 (0.70-0.90), Intersection over Union (IoU) = 0.83 (0.73-0.90), Accuracy = 0.97 (0.95-0.99), Inference Speed = 25.6 (25.1-26.1) frames per second. The external testing cohorts comprised 156 and 200 images. SegMENT-Plus performed similarly on all three datasets for DSC (p = 0.05) and IoU (p = 0.07). No significant differences were noticed when separately analyzing WL and NBI test images on DSC (p = 0.06) and IoU (p = 0.78) and when analyzing the model versus the two residents on DSC (p = 0.06) and IoU (Senior vs. SegMENT-Plus, p = 0.13; Junior vs. SegMENT-Plus, p = 1.00). The model was then tested on real intraoperative laryngoscopy videos. CONCLUSION SegMENT-Plus can accurately delineate laryngeal cancer boundaries in endoscopic images, with performances equal to those of two otolaryngology residents. The results on the two external datasets demonstrate excellent generalization capabilities. The computation speed of the model allowed its application on videolaryngoscopies simulating real-time use. Clinical trials are needed to evaluate the role of this technology in surgical practice and resection margin improvement. LEVEL OF EVIDENCE III Laryngoscope, 2024.
Collapse
Affiliation(s)
- Claudio Sampieri
- Department of Experimental Medicine (DIMES), University of Genova, Genoa, Italy
- Functional Unit of Head and Neck Tumors, Hospital Clínic, Barcelona, Spain
- Otorhinolaryngology Department, Hospital Clínic, Barcelona, Spain
| | - Muhammad Adeel Azam
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
- Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS), University of Genova, Genoa, Italy
| | - Alessandro Ioppi
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, Genoa, Italy
- Department of Otorhinolaryngology-Head and Neck Surgery, "S. Chiara" Hospital, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy
| | - Chiara Baldini
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
- Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS), University of Genova, Genoa, Italy
| | - Sara Moccia
- The BioRobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Dahee Kim
- Department of Otorhinolaryngology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Alessandro Tirrito
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, Genoa, Italy
| | - Alberto Paderno
- Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of Brescia, Brescia, Italy
- Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Cesare Piazza
- Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of Brescia, Brescia, Italy
- Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Leonardo S Mattos
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Giorgio Peretti
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, Genoa, Italy
| |
Collapse
|
4
|
Fiz I, Filauro M, Sampieri C, Ioppi A, Vallin A, Fiz F, Koelmel JC, Lancini D, Piazza C, Sittel C, Peretti G. Analysis of Complications in (Crico-) Tracheal Resection Anastomosis in Adults: A Multicenter Study. Laryngoscope 2023; 133:2910-2919. [PMID: 36883671 DOI: 10.1002/lary.30635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 02/09/2023] [Accepted: 02/09/2023] [Indexed: 03/09/2023]
Abstract
OBJECTIVES The gold standard treatments for advanced laryngotracheal stenosis (LTS) are represented by partial crico-tracheal (PCTRA) or tracheal resection and anastomosis (TRA). These procedures are potentially burdened by high postoperative complication rates. We investigated the impact of the most common stenosis and patient-related characteristics on the onset of complications in a multicentric cohort. METHODS We retrospectively analyzed patients who underwent PCTRA or TRA for LTS of different etiologies in three referral centers. We tested the effectiveness of these procedures, the impact of complications on the outcomes, and identified factors causing postoperative complications. RESULTS A total of 267 patients were included in the study (130 females; mean age, 51.46 ± 17.64 years). The overall decannulation rate was 96.4%. Altogether, 102 (38.2%) patients presented at least one complication, whereas 12 (4.5%) had two or more. The only independent predictor of post-surgical complications was the presence of systemic comorbidities (p = 0.043). Patients experiencing complications needed additional surgery more frequently (70.1% vs. 29.9%, p < 0.001), and had a longer duration of hospitalization (20 ± 10.9 vs. 11.3 ± 4.1 days, p < 0.001). Six of 102 (5.9%) patients with complications had restenosis, although this event did not occur among patients without complications. CONCLUSION PCTRA and TRA have an excellent success rate even when performed for high-grade LTS. However, a significant percentage of patients may experience complications associated with a longer duration of hospitalization or the need for additional surgeries. The presence of medical comorbidities was independently related to an increased risk of complications. LEVEL OF EVIDENCE 4 Laryngoscope, 133:2910-2919, 2023.
Collapse
Affiliation(s)
- Ivana Fiz
- Department of Otorhinolaryngology, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Marta Filauro
- Unit of Otorhinolaryngology-Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Claudio Sampieri
- Unit of Otorhinolaryngology-Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Alessandro Ioppi
- Unit of Otorhinolaryngology-Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Alberto Vallin
- Unit of Otorhinolaryngology-Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Francesco Fiz
- Nuclear Medicine Department, Ente Ospedaliero "Ospedali Galliera", Genoa, Italy
- Department of Nuclear Medicine and Clinical Molecular Imaging, University Hospital, Tübingen, Germany
| | - Jan Costantin Koelmel
- Department of Otorhinolaryngology-Head and Neck Surgery, Klinikum Stuttgart, Stuttgart, Germany
| | - Davide Lancini
- Unit of Otorhinolaryngology-Head and Neck Surgery, ASST Spedali Civili of Brescia, Brescia, Italy
- Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Cesare Piazza
- Unit of Otorhinolaryngology-Head and Neck Surgery, ASST Spedali Civili of Brescia, Brescia, Italy
- Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Christian Sittel
- Department of Otorhinolaryngology-Head and Neck Surgery, Klinikum Stuttgart, Stuttgart, Germany
| | - Giorgio Peretti
- Unit of Otorhinolaryngology-Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| |
Collapse
|
5
|
Sampieri C, Baldini C, Azam MA, Moccia S, Mattos LS, Vilaseca I, Peretti G, Ioppi A. Artificial Intelligence for Upper Aerodigestive Tract Endoscopy and Laryngoscopy: A Guide for Physicians and State-of-the-Art Review. Otolaryngol Head Neck Surg 2023; 169:811-829. [PMID: 37051892 DOI: 10.1002/ohn.343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/03/2023] [Accepted: 03/23/2023] [Indexed: 04/14/2023]
Abstract
OBJECTIVE The endoscopic and laryngoscopic examination is paramount for laryngeal, oropharyngeal, nasopharyngeal, nasal, and oral cavity benign lesions and cancer evaluation. Nevertheless, upper aerodigestive tract (UADT) endoscopy is intrinsically operator-dependent and lacks objective quality standards. At present, there has been an increased interest in artificial intelligence (AI) applications in this area to support physicians during the examination, thus enhancing diagnostic performances. The relative novelty of this research field poses a challenge both for the reviewers and readers as clinicians often lack a specific technical background. DATA SOURCES Four bibliographic databases were searched: PubMed, EMBASE, Cochrane, and Google Scholar. REVIEW METHODS A structured review of the current literature (up to September 2022) was performed. Search terms related to topics of AI, machine learning (ML), and deep learning (DL) in UADT endoscopy and laryngoscopy were identified and queried by 3 independent reviewers. Citations of selected studies were also evaluated to ensure comprehensiveness. CONCLUSIONS Forty-one studies were included in the review. AI and computer vision techniques were used to achieve 3 fundamental tasks in this field: classification, detection, and segmentation. All papers were summarized and reviewed. IMPLICATIONS FOR PRACTICE This article comprehensively reviews the latest developments in the application of ML and DL in UADT endoscopy and laryngoscopy, as well as their future clinical implications. The technical basis of AI is also explained, providing guidance for nonexpert readers to allow critical appraisal of the evaluation metrics and the most relevant quality requirements.
Collapse
Affiliation(s)
- Claudio Sampieri
- Department of Experimental Medicine (DIMES), University of Genoa, Genoa, Italy
- Functional Unit of Head and Neck Tumors, Hospital Clínic, Barcelona, Spain
- Otorhinolaryngology Department, Hospital Clínic, Barcelona, Spain
| | - Chiara Baldini
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
- Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS), University of Genoa, Genoa, Italy
| | - Muhammad Adeel Azam
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
- Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS), University of Genoa, Genoa, Italy
| | - Sara Moccia
- Department of Excellence in Robotics and AI, The BioRobotics Institute, Pisa, Italy
| | - Leonardo S Mattos
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Isabel Vilaseca
- Functional Unit of Head and Neck Tumors, Hospital Clínic, Barcelona, Spain
- Otorhinolaryngology Department, Hospital Clínic, Barcelona, Spain
- Head Neck Clínic, Agència de Gestió d'Ajuts Universitaris i de Recerca, Barcelona, Catalunya, Spain
- Surgery and Medical-Surgical Specialties Department, Faculty of Medicine and Health Sciences, Universitat de Barcelona, Barcelona, Spain
- Translational Genomics and Target Therapies in Solid Tumors Group, Faculty of Medicine, Institut d́Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- University of Barcelona, Barcelona, Spain
| | - Giorgio Peretti
- Unit of Otorhinolaryngology-Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Alessandro Ioppi
- Unit of Otorhinolaryngology-Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| |
Collapse
|
6
|
Filauro M, Ioppi A, Vallin A, Sampieri C, De Vecchi M, Gabella G, Benzi P, Mora F, Peretti G. Office-Based Treatment of Vocal Fold Polyps and Reinke's Edema: A Rational Comparison With Suspension Laryngoscopy. Laryngoscope 2023; 133:2665-2672. [PMID: 36647733 DOI: 10.1002/lary.30576] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 12/17/2022] [Accepted: 01/05/2023] [Indexed: 01/18/2023]
Abstract
OBJECTIVE Benign laryngeal lesions have traditionally been treated through suspension laryngoscopy under general anesthesia (GA). Recently, the development of operative videoendoscopes coupled with photoangiolytic lasers has allowed clinicians to treat these conditions in the outpatient clinic. We report our experience in the office-based (OB) setting for the treatment of patients affected by vocal fold polyps (VFPs) and Reinke's edema (RE), comparing it to patients treated under GA. METHODS A retrospective analysis was conducted on patients affected by VFP or RE. A 445 nm diode blue laser was used through the operative channel of a flexible video-endoscope for OB procedures, while GA surgeries were carried out with cold steel instrumentation. The Voice Handicap Index-10 (VHI-10) represented the primary outcome. Endoscopic outcomes, duration, and morbidity of the procedures were investigated as secondary outcomes. RESULTS A total of 153 patients were retrospectively enrolled. 52 were treated in an OB setting, while 91 underwent GA. Regarding patients with RE, both the OB and GA cohorts showed a significant improvement in VHI-10 (from 12.7 to 2.6 and 19.5 to 5.1, respectively; p < 0.001), as did those with VFPs (from 11.8 to 2.3 and 15.9 to 2.9 respectively; p < 0.001). No differences were found when comparing VHI-10 in the OB and GA cohorts. The mean procedural time of OB treatment (4.9 min) was significantly shorter than GA (37.1 min). No adverse events were reported. CONCLUSION Our data demonstrate the efficacy and safety of the OB setting. For selected patients, OB treatments offer comparable vocal outcomes, favorable morbidity, and reduced operation times, making them an appealing alternative to the traditional approach. LEVEL OF EVIDENCE 3 Laryngoscope, 133:2665-2672, 2023.
Collapse
Affiliation(s)
- Marta Filauro
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
- Department of Medical Science (DIMES), University of Genoa, Genoa, Italy
| | - Alessandro Ioppi
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Alberto Vallin
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Claudio Sampieri
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Marta De Vecchi
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Giulia Gabella
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Pietro Benzi
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Francesco Mora
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Giorgio Peretti
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| |
Collapse
|
7
|
Canevari FR, Giorli A, Monti G, Biagini C, Bagnasco D, Cavaliere C, Pipolo C, De Corso E, Gelardi M, Gramellini G, Ioppi A, La Mantia I, Malvezzi L, Bignami M, Dehgani-Mobaraki P, Seccia V, Maggiore G, Macchi A. Diagnostic therapeutic assistance pathway (PDTA) of type 2 chronic rhinosinusitis. Front Allergy 2023; 4:1237131. [PMID: 37841050 PMCID: PMC10570804 DOI: 10.3389/falgy.2023.1237131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 09/06/2023] [Indexed: 10/17/2023] Open
Abstract
Chronic rhinosinusitis (CRS) is a complex and heterogeneous disorder whose etiopathogenetic picture is not yet completely known and is classically divided into CRS with (CRSwNP) and without nasal polyps (CRSsNP). But today the distinction is made with type 2 and nontype 2 variants. A rational and defined pathway for the diagnosis of chronic rhinosinusitis is an indispensable means to be able to arrive at a correct identification of the patient. This typing is essential to be able to arrive at the correct course of treatment, which turns out to be different for different types of patients. For this reason, the realization of a diagnostic therapeutic pathway represents a fundamental way for the otolaryngologist specialist but not only, since today diagnostics has a multidisciplinary framework. In the present work, precise indications have been developed to arrive at a correct diagnosis. The various diagnostic pathways and processes to arrive at a correct therapeutic framing have been highlighted. Therapy ranging from medical therapy to surgical therapy without neglecting the new biological therapies. It does not represent a guideline but a diagnostic method that can be adapted to all the various territorial realities.
Collapse
Affiliation(s)
- Frank Rikki Canevari
- Unit of Otorhinolaryngology – Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Italy
| | - Alessia Giorli
- Otolaryngology Department, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Giulia Monti
- ENT Department, ASST Sette Laghi, University of Insubria, Varese, Italy
| | - Cesare Biagini
- Otolaryngology Department, Azienda Ospedaliera Universitaria Senese, Siena, Italy
| | - Diego Bagnasco
- Allergy and Respiratory Diseases, Department of Internal Medicine (DIMI), IRCCS Policlinico San Martino, University of Genoa, Genoa, Italy
| | - Carlo Cavaliere
- Department of Sense Organs, Sapienza University of Rome, Rome, Italy
| | - Carlotta Pipolo
- Otolaryngology Unit, ASST Santi Paolo e Carlo, Department of Health Sciences, University of Milan, Milan, Italy
| | - Eugenio De Corso
- Unit of Otorhinolaryngology and Head-Neck Surgery, Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy
| | - Matteo Gelardi
- Department of Otolaryngology, University Hospital of Foggia, Foggia, Italy
| | - Giulia Gramellini
- ENT Deptartement, Asst Grande Ospedale Metropolitano Niguarda, Ear, Nose and Throat Unit of Sant'Orsola-Malpighi Hospital, Bologna, Italy
| | - Alessandro Ioppi
- Unit of Otorhinolaryngology – Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Italy
- Department of Otorhinolaryngology-Head and Neck Surgery, “S. Chiara” Hospital, Azienda Provinciale per i Servizi Sanitari (APSS), Trento, Italy
| | - Ignazio La Mantia
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, ENT Section, University of Catania, Catania, Italy
| | - Luca Malvezzi
- Otorhinolaryngology, Head and Neck Surgery Unit, Humanitas Research Hospital, IRCCS, Milan, Italy
| | - Maurizio Bignami
- Department of Otorhinolaryngology, Department of Surgery, ASST Lariana, University of Insubria, Como, Italy
| | | | - Veronica Seccia
- Otolaryngology Audiology and Phoniatric Operative Unit, Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine,Azienda Ospedaliero Universitaria Pisana, University of Pisa, Pisa, Italy
| | | | - Alberto Macchi
- ENT Department, ASST Sette Laghi, University of Insubria, Varese, Italy
| |
Collapse
|
8
|
Pistoia F, Camerino PL, Ioppi A, Picasso R, Zaottini F, Caprioli S, Mocellin D, Ascoli A, Pansecchi M, Carobbio ALC, Parrinello G, Marchi F, Peretti G, Martinoli C. High-resolution US of the facial vessels with new facial vein landmarks for reconstructive surgery and dermal injection. Eur Radiol Exp 2023; 7:49. [PMID: 37691033 PMCID: PMC10493206 DOI: 10.1186/s41747-023-00363-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 06/12/2023] [Indexed: 09/12/2023] Open
Abstract
BACKGROUND Accurate knowledge of vessel anatomy is essential in facial reconstructive surgery. The technological advances of ultrasound (US) equipment with the introduction of new high-resolution probes improved the evaluation of facial anatomical structures. Our study had these objectives: the primary objective was to identify new surgical landmarks for the facial vein and to verify their precision with US, the secondary objective was to evaluate the potential of high-resolution US examination in the study of both the facial artery and vein. METHODS Two radiologists examined a prospective series of adult volunteers with a 22-8 MHz hockey-stick probe. Two predictive lines of the facial artery and vein with respective measurement points were defined. The distance between the facial vein and its predictive line (named mandibular-orbital line) was determined at each measurement point. The distance from the skin and the area of the two vessels were assessed at every established measurement point. RESULTS Forty-one volunteers were examined. The median distance of the facial vein from its predictive line did not exceed 2 mm. The facial vein was visible at every measurement point in all volunteers on the right side, and in 40 volunteers on the left. The facial artery was visible at every measurement point in all volunteers on the right and in 37 volunteers on the left. CONCLUSIONS The facial vein demonstrated a constant course concerning the mandibular-orbital line, which seems a promising clinical and imaging-based method for its identification. High-resolution US is valuable in studying the facial artery and vein. RELEVANCE STATEMENT High-resolution US is valuable for examining facial vessels and can be a useful tool for pre-operative assessment, especially when combined with the mandibular-orbital line, a new promising imaging and clinical technique to identify the facial vein. KEY POINTS • High-resolution US is valuable in studying the facial artery and vein. • The facial vein demonstrated a constant course concerning its predictive mandibular-orbital line. • The clinical application of the mandibular-orbital line could help reduce facial surgical and cosmetic procedure complications.
Collapse
Affiliation(s)
- Federico Pistoia
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, Genoa, Italy.
| | - Paola Lovino Camerino
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, Genoa, Italy
| | - Alessandro Ioppi
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, Genoa, Italy
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genova, Genoa, Italy
| | - Riccardo Picasso
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, Genoa, Italy
| | - Federico Zaottini
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, Genoa, Italy
| | - Simone Caprioli
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, Genoa, Italy
| | - Davide Mocellin
- Department of Otorhinolaryngology, Ospedale S. Paolo, Savona, Italy
| | - Alessandro Ascoli
- Department of Otorhinolaryngology, Ospedale Giovanni Borea, Sanremo, Italy
| | - Michelle Pansecchi
- Department of Health Sciences (DISSAL), Radiology Section, University of Genova, Via Pastore 1, Genoa, Italy
| | - Andrea Luigi Camillo Carobbio
- Department of Neurosciences, Section of Otorhinolaryngology-Head and Neck Surgery, University of Padua "Azienda Ospedaliera Di Padova", 35128, Padua, Italy
| | | | - Filippo Marchi
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, Genoa, Italy
- Department of Internal Medicine (DIMI), University of Genoa, Genoa, Italy
| | - Giorgio Peretti
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, Genoa, Italy
- Department of Internal Medicine (DIMI), University of Genoa, Genoa, Italy
| | - Carlo Martinoli
- IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi, 10, Genoa, Italy
- Department of Health Sciences (DISSAL), Radiology Section, University of Genova, Via Pastore 1, Genoa, Italy
| |
Collapse
|
9
|
Bagnasco D, Nicola S, Testino E, Brussino L, Pini L, Caminati M, Piccardo F, Canevari RF, Melissari L, Ioppi A, Guastini L, Lombardi C, Milanese M, Losa F, Robbiano M, De Ferrari L, Riccio AM, Guida G, Bonavia M, Fini D, Balbi F, Caruso C, Paggiaro P, Blasi F, Heffler E, Paoletti G, Canonica GW, Senna G, Passalacqua G. Long-Term Efficacy of Mepolizumab at 3 Years in Patients with Severe Asthma: Comparison with Clinical Trials and Super Responders. Biomedicines 2023; 11:2424. [PMID: 37760865 PMCID: PMC10525371 DOI: 10.3390/biomedicines11092424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 06/23/2023] [Accepted: 08/04/2023] [Indexed: 09/29/2023] Open
Abstract
The efficacy mepolizumab in severe asthmatic patients is proven in the literature. Primarily to study the effect of mepolizumab on exacerbations, steroid dependence, and the continuation of efficacy in the long term. Secondarily to evaluate the effect of the drug on nasal polyps. Analyzing data from SANI (Severe Asthma Network Italy) clinics, we observed severe asthmatic patients treated with mepolizumab 100 mg/4 weeks, for a period of 3 years. 157 patients were observed. Exacerbations were reduced from the first year (-84.6%) and progressively to 90 and 95% in the second and third ones. Steroid-dependent patients decreased from 54% to 21% and subsequently to 11% in the second year and 6% in the third year. Patients with concomitant nasal polyps, assessed by SNOT-22, showed a 49% reduction in value from baseline to the third year. The study demonstrated the long-term efficacy of mepolizumab in a real-life setting.
Collapse
Affiliation(s)
- Diego Bagnasco
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino, University of Genoa, 16132 Genoa, Italy (M.R.); (L.D.F.); (G.P.)
- Department of Internal Medicine (DIMI), University of Genoa, 16132 Genoa, Italy;
| | - Stefania Nicola
- SCDU Immunologia e Allergologia, AO Ordine Mauriziano di Torino, C.so Re Umberto 109, 10128 Torino, Italy (L.B.)
| | - Elisa Testino
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino, University of Genoa, 16132 Genoa, Italy (M.R.); (L.D.F.); (G.P.)
- Department of Internal Medicine (DIMI), University of Genoa, 16132 Genoa, Italy;
| | - Luisa Brussino
- SCDU Immunologia e Allergologia, AO Ordine Mauriziano di Torino, C.so Re Umberto 109, 10128 Torino, Italy (L.B.)
| | - Laura Pini
- Respiratory Medicine Unit, ASST—“Spedali Civili” of Brescia, Piazzale Spedali Civili 1, 25123 Brescia, Italy;
| | - Marco Caminati
- Department of Medicine, University of Verona, 37134 Verona, Italy; (M.C.); (G.S.)
| | - Federica Piccardo
- Department of Internal Medicine (DIMI), University of Genoa, 16132 Genoa, Italy;
| | - Rikki Frank Canevari
- ENT Department, IRCCS Policlinico San Martino, University of Genoa, 16132 Genoa, Italy; (R.F.C.); (L.G.)
| | - Laura Melissari
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino, University of Genoa, 16132 Genoa, Italy (M.R.); (L.D.F.); (G.P.)
- Department of Internal Medicine (DIMI), University of Genoa, 16132 Genoa, Italy;
| | - Alessandro Ioppi
- ENT Department, IRCCS Policlinico San Martino, University of Genoa, 16132 Genoa, Italy; (R.F.C.); (L.G.)
| | - Luca Guastini
- ENT Department, IRCCS Policlinico San Martino, University of Genoa, 16132 Genoa, Italy; (R.F.C.); (L.G.)
| | - Carlo Lombardi
- Departmental Unit of Allergology, Immunology & Pulmonary Diseases, Fondazione Poliambulanza, 25124 Brescia, Italy;
| | - Manlio Milanese
- Department of Respiratory Diseases, S. Corona Hospital, ASL2, 17027 Pietra Ligure, Italy;
| | - Francesca Losa
- UO Allergology and Clinical Immunology, ASST Mantova, 46100 Mantova, Italy;
| | - Michela Robbiano
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino, University of Genoa, 16132 Genoa, Italy (M.R.); (L.D.F.); (G.P.)
- Department of Internal Medicine (DIMI), University of Genoa, 16132 Genoa, Italy;
| | - Laura De Ferrari
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino, University of Genoa, 16132 Genoa, Italy (M.R.); (L.D.F.); (G.P.)
- Department of Internal Medicine (DIMI), University of Genoa, 16132 Genoa, Italy;
| | - Anna Maria Riccio
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino, University of Genoa, 16132 Genoa, Italy (M.R.); (L.D.F.); (G.P.)
- Department of Internal Medicine (DIMI), University of Genoa, 16132 Genoa, Italy;
| | - Giuseppe Guida
- Department of Clinical and Biological Science, University of Torino, 10043 Orbassano, Italy;
| | - Marco Bonavia
- Department of Rehabilitation Pulmonology, Hospital Ge-Arenzano, ASL3, 16149 Genoa, Italy;
| | - Donatella Fini
- Department of Pneumologiy, Hospital Sarzana (SP), 19125 La Spezia, Italy;
| | - Francesco Balbi
- Department of Pneumologiy, Hospital Imperia, 18100 Imperia, Italy;
| | - Cristiano Caruso
- Department of di Medical and Surgical Science, Fondation Universitary Policlinic A. Gemelli IRCCS, University Cattolica Sacro Cuore, 20123 Rome, Italy;
| | - Pierluigi Paggiaro
- Department of Surgery, Medicine, Molecular Biology and Critical Care, University of Pisa, 56126 Pisa, Italy;
| | - Francesco Blasi
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, 20122 Milan, Italy
- Respiratory Unit and Adult Cystic Fibrosis Center, Internal Medicine Department, Fondation IRCCS Ca’ Granda-Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Enrico Heffler
- Unit of Personalized Medicine, Asthma and Allergy, IRCCS Humanitas Clinical and Research Hospital, 20089 Rozzano, Italy; (E.H.); (G.P.); (G.W.C.)
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Italy
| | - Giovanni Paoletti
- Unit of Personalized Medicine, Asthma and Allergy, IRCCS Humanitas Clinical and Research Hospital, 20089 Rozzano, Italy; (E.H.); (G.P.); (G.W.C.)
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Italy
| | - Giorgio Walter Canonica
- Unit of Personalized Medicine, Asthma and Allergy, IRCCS Humanitas Clinical and Research Hospital, 20089 Rozzano, Italy; (E.H.); (G.P.); (G.W.C.)
- Department of Biomedical Sciences, Humanitas University, 20072 Pieve Emanuele, Italy
| | - Gianenrico Senna
- Department of Medicine, University of Verona, 37134 Verona, Italy; (M.C.); (G.S.)
| | - Giovanni Passalacqua
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino, University of Genoa, 16132 Genoa, Italy (M.R.); (L.D.F.); (G.P.)
- Department of Internal Medicine (DIMI), University of Genoa, 16132 Genoa, Italy;
| | | |
Collapse
|
10
|
Mocellin D, Ioppi A, Gaglio G, Pennacchi A, Bertolini M, Tirrito A, Guastini L, Bagnasco D, Passalacqua G, Peretti G, Canevari FRM. Severe chronic rhinosinusitis treated with dupilumab, a real-life analysis of early effectiveness. Eur Rev Med Pharmacol Sci 2023; 27:7324-7336. [PMID: 37606141 DOI: 10.26355/eurrev_202308_33304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 08/23/2023]
Abstract
OBJECTIVE The present study evaluated the safety and efficacy of dupilumab in severe uncontrolled type 2 chronic rhinosinusitis with nasal polyps (CRSwNP). PATIENTS AND METHODS A retrospective analysis was conducted on a cohort of adult patients affected by severe CRSwNP treated with dupilumab. Maxillofacial computed tomography, evaluation of blood eosinophils and serum IgE levels, measurement of nasal polyp score (NPS), smell identification test (SSIT-16), sinonasal outcome test-22 (SNOT-22) and asthma control test (ACT) were performed. Follow-up was conducted at 2 weeks, and at 1, 3, and 6 months. Adverse events and the efficacy of treatment were monitored. RESULTS 23 patients were enrolled. After 15 days, scores of the SNOT-22, NPS and SSIT-16 significantly improved. These outcomes were also maintained after 1, 3, and 6 months (p < 0.001). At this latter follow-up time, SNOT-22 showed a change of -33.10 (p < 0.001), NPS -3.36 (p < 0.001) and SSIT-16 +5.60 (p < 0.001). In all, 26.1% of patients experienced early minor complications. CONCLUSIONS In the present study, dupilumab was effective in the treatment of severe uncontrolled CRSwNP, demonstrating a quick significant improvement in both questionnaires and endoscopic evaluation. Only minor complications were observed.
Collapse
Affiliation(s)
- D Mocellin
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
11
|
Mattioli F, Serafini E, Lo Manto A, Mularoni F, Abeshi A, Lionello M, Ferrari M, Paderno A, Lancini D, Mattavelli D, Confuorto G, Marchi F, Ioppi A, Sampieri C, Mercante G, De Virgilio A, Petruzzi G, Crosetti E, Pellini R, Giuseppe S, Giorgio P, Piazza C, Molteni G, Bertolin A, Succo G, Nicolai P, Alicandri-Ciufelli M, Marchioni D, Presutti L, Fermi M. The role of adjuvant therapy in pT4N0 laryngectomized patients: Multicentric observational study. Head Neck 2023; 45:197-206. [PMID: 36250285 PMCID: PMC10092371 DOI: 10.1002/hed.27225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/20/2022] [Accepted: 10/04/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND To retrospectively evaluate oncological outcomes in two groups of patients with pT4aN0 glottic SCC treated with total laryngectomy (TL) and neck dissection (ND) who underwent postoperative radiotherapy or exclusive clinical and radiological follow-up. METHODS It includes patients with pT4N0 glottic SCC who underwent TL and unilateral or bilateral ND with or without PORT. Divided in two comparison groups: the first group underwent adjuvant RT (TL-PORT); the second group referred to clinical and radiological follow-up (TL). RESULTS PORT was associated with a better OS while no differences were found in terms of DSS. A better local control is achieved when PORT is administered while no differences in terms of regional and distant control rates were found. Bilateral ND positively impacts on the regional control while the PNI negatively impact the regional control. CONCLUSIONS A tailored PORT protocol might be considered for pT4N0 glottic SCC treated with TL and ND, both considering the ND's extent and presence of PNI.
Collapse
Affiliation(s)
- Francesco Mattioli
- Department of Otorhinolaryngology - Head and Neck Surgery, University Hospital of Modena, Modena, Italy
| | - Edoardo Serafini
- Department of Otorhinolaryngology - Head and Neck Surgery, University Hospital of Modena, Modena, Italy
| | - Alfredo Lo Manto
- Department of Otorhinolaryngology - Head and Neck Surgery, University Hospital of Modena, Modena, Italy
| | - Francesca Mularoni
- Section of Otorhinolaryngology - Head and Neck Surgery, Department of Neurosciences, University of Padua - Azienda Ospedale Università di Padova, Padua, Italy
| | - Andi Abeshi
- Department of Otorhinolaryngology - Head and Neck Surgery, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Policlinico S. Orsola-Malpighi, Bologna, Italy
| | - Marco Lionello
- Otorhinolaryngology Unit, Vittorio Veneto Hospital, Vittorio Veneto, Italy
| | - Marco Ferrari
- Section of Otorhinolaryngology - Head and Neck Surgery, Department of Neurosciences, University of Padua - Azienda Ospedale Università di Padova, Padua, Italy
| | - Alberto Paderno
- Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Davide Lancini
- Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Davide Mattavelli
- Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Gennaro Confuorto
- Otolaryngology Unit, Department of Surgery, Dentistry and Paediatrics, University of Verona, Verona, Italy
| | - Filippo Marchi
- Department of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Alessandro Ioppi
- Department of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Claudio Sampieri
- Department of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Giuseppe Mercante
- Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Milan, Italy.,Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Armando De Virgilio
- Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Milan, Italy.,Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Gerardo Petruzzi
- Department of Otolaryngology - Head and Neck Surgery, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Erika Crosetti
- ENT Unit, Department of Oncology, University of Turin, San Luigi Gonzaga Hospital Orbassano, Turin, Italy
| | - Raul Pellini
- Department of Otolaryngology - Head and Neck Surgery, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Spriano Giuseppe
- Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Milan, Italy.,Department of Biomedical Sciences, Humanitas University, Milan, Italy
| | - Peretti Giorgio
- Department of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Cesare Piazza
- Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili Brescia, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Gabriele Molteni
- Otolaryngology Unit, Department of Surgery, Dentistry and Paediatrics, University of Verona, Verona, Italy.,Department of Otolaryngology - Head and Neck Surgery, University Hospital Policlinico, Verona, Italy
| | - Andy Bertolin
- Otorhinolaryngology Unit, Vittorio Veneto Hospital, Vittorio Veneto, Italy
| | | | - Piero Nicolai
- Section of Otorhinolaryngology - Head and Neck Surgery, Department of Neurosciences, University of Padua - Azienda Ospedale Università di Padova, Padua, Italy
| | - Matteo Alicandri-Ciufelli
- Department of Otorhinolaryngology - Head and Neck Surgery, University Hospital of Modena, Modena, Italy
| | - Daniele Marchioni
- Department of Otorhinolaryngology - Head and Neck Surgery, University Hospital of Modena, Modena, Italy
| | - Livio Presutti
- Department of Otorhinolaryngology - Head and Neck Surgery, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Policlinico S. Orsola-Malpighi, Bologna, Italy.,Department of Specialist, Diagnostic and Experimental Medicine (DIMES), Alma Mater Studiorum, Università di Bologna, Bologna, Italy
| | - Matteo Fermi
- Department of Otorhinolaryngology - Head and Neck Surgery, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Policlinico S. Orsola-Malpighi, Bologna, Italy.,Department of Specialist, Diagnostic and Experimental Medicine (DIMES), Alma Mater Studiorum, Università di Bologna, Bologna, Italy
| |
Collapse
|
12
|
Azam MA, Sampieri C, Ioppi A, Benzi P, Giordano GG, De Vecchi M, Campagnari V, Li S, Guastini L, Paderno A, Moccia S, Piazza C, Mattos LS, Peretti G. Videomics of the Upper Aero-Digestive Tract Cancer: Deep Learning Applied to White Light and Narrow Band Imaging for Automatic Segmentation of Endoscopic Images. Front Oncol 2022; 12:900451. [PMID: 35719939 PMCID: PMC9198427 DOI: 10.3389/fonc.2022.900451] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 04/26/2022] [Indexed: 12/13/2022] Open
Abstract
Introduction Narrow Band Imaging (NBI) is an endoscopic visualization technique useful for upper aero-digestive tract (UADT) cancer detection and margins evaluation. However, NBI analysis is strongly operator-dependent and requires high expertise, thus limiting its wider implementation. Recently, artificial intelligence (AI) has demonstrated potential for applications in UADT videoendoscopy. Among AI methods, deep learning algorithms, and especially convolutional neural networks (CNNs), are particularly suitable for delineating cancers on videoendoscopy. This study is aimed to develop a CNN for automatic semantic segmentation of UADT cancer on endoscopic images. Materials and Methods A dataset of white light and NBI videoframes of laryngeal squamous cell carcinoma (LSCC) was collected and manually annotated. A novel DL segmentation model (SegMENT) was designed. SegMENT relies on DeepLabV3+ CNN architecture, modified using Xception as a backbone and incorporating ensemble features from other CNNs. The performance of SegMENT was compared to state-of-the-art CNNs (UNet, ResUNet, and DeepLabv3). SegMENT was then validated on two external datasets of NBI images of oropharyngeal (OPSCC) and oral cavity SCC (OSCC) obtained from a previously published study. The impact of in-domain transfer learning through an ensemble technique was evaluated on the external datasets. Results 219 LSCC patients were retrospectively included in the study. A total of 683 videoframes composed the LSCC dataset, while the external validation cohorts of OPSCC and OCSCC contained 116 and 102 images. On the LSCC dataset, SegMENT outperformed the other DL models, obtaining the following median values: 0.68 intersection over union (IoU), 0.81 dice similarity coefficient (DSC), 0.95 recall, 0.78 precision, 0.97 accuracy. For the OCSCC and OPSCC datasets, results were superior compared to previously published data: the median performance metrics were, respectively, improved as follows: DSC=10.3% and 11.9%, recall=15.0% and 5.1%, precision=17.0% and 14.7%, accuracy=4.1% and 10.3%. Conclusion SegMENT achieved promising performances, showing that automatic tumor segmentation in endoscopic images is feasible even within the highly heterogeneous and complex UADT environment. SegMENT outperformed the previously published results on the external validation cohorts. The model demonstrated potential for improved detection of early tumors, more precise biopsies, and better selection of resection margins.
Collapse
Affiliation(s)
- Muhammad Adeel Azam
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Claudio Sampieri
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Alessandro Ioppi
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Pietro Benzi
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Giorgio Gregory Giordano
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Marta De Vecchi
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Valentina Campagnari
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Shunlei Li
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Luca Guastini
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Alberto Paderno
- Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of Brescia, Brescia, Italy.,Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Sara Moccia
- The BioRobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Cesare Piazza
- Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of Brescia, Brescia, Italy.,Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Leonardo S Mattos
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy
| | - Giorgio Peretti
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| |
Collapse
|
13
|
Missale F, Ioppi A, Ascoli A, Camerino PL, Camillo Carobbio AL, Larghi M, Castello EM, Guastini L, Peretti G, Criminelli D, Parrinello G, Bagnasco D, Mauritz Canevari FR. Cerebrospinal Fluid Leak Repair: Usefulness of Intrathecal Fluorescein for Correct Topographic Identification of the Skull Base Defects. World Neurosurg 2022; 160:e267-e277. [PMID: 34999266 DOI: 10.1016/j.wneu.2022.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 12/31/2021] [Accepted: 01/03/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND In the management of cerebrospinal fluid (CSF) leak, the identification of the exact discharge spot is paramount. This process can represent a challenge for the radiologist and the surgeon. In the present study, we analyzed a series of patients affected by endonasal CSF leak who underwent endoscopic surgical reconstruction aided by the use of ITF. The purpose of this work is to assess the efficacy of intraoperative ITF in addition to computed tomography (CT) and magnetic resonance imaging for correct topographic localization of the CSF leak. METHODS Eighty-three patients were enrolled in the study. The main outcome was the concordance between the supposed radiologic defect site and the actual one seen intraoperatively. Recurrence-free survival was evaluated as secondary outcome. RESULTS ITF better defined the defect site, allowing a change in the treatment in 21 patients (25.3%), in whom nonconcordance was observed between the suspected radiologic site and the actual surgical site. Good agreement was found between the specific topographic localization (κ = 0.737; P < 0.0001), whereas fair agreement was observed considering the side of the defect (κ = 0.362; P = 0.0009) and correct identification of multiple sites (κ = 0.044; P = 0.666). The 10-year 96% estimate of recurrence-free survival confirmed the correct repair of the fistula site in most cases. CONCLUSIONS Our data show the usefulness and safety of intraoperative ITF for management of patients affected by endonasal CSF leak. ITF improved the topographic diagnosis of the leak site, ensuring the best target reconstruction and very low recurrence rate.
Collapse
Affiliation(s)
- Francesco Missale
- IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Alessandro Ioppi
- IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Alessandro Ascoli
- IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Paola Lovino Camerino
- IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Andrea Luigi Camillo Carobbio
- IRCCS Ospedale Policlinico San Martino, Genova, Italy; Section of Otorhinolaryngology, Head and Neck Surgery-Azienda Ospedaliera di Padova, University of Padua, Padua, Italy
| | - Marco Larghi
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | | | - Luca Guastini
- IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Giorgio Peretti
- IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | | | | | - Diego Bagnasco
- IRCCS Ospedale Policlinico San Martino, Genova, Italy; Allergy and Respiratory Diseases, DIMI Department of Internal Medicine, University of Genoa, Genoa, Italy
| | - Frank Rikki Mauritz Canevari
- IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.
| |
Collapse
|
14
|
Piazza C, Lancini D, Filauro M, Sampieri C, Bosio P, Zigliani G, Ioppi A, Vallin A, Deganello A, Peretti G. Post-COVID-19 airway stenosis treated by tracheal resection and anastomosis: a bicentric experience. Acta Otorhinolaryngol Ital 2022; 42:99-105. [PMID: 35612502 PMCID: PMC9132000 DOI: 10.14639/0392-100x-n1952] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 01/19/2022] [Indexed: 11/23/2022]
Abstract
Objective The COVID-19 pandemic was an extraordinary challenge for the global healthcare system not only for the number of patients affected by pulmonary disease, but also for the incidence of long-term sequalae. In this regard, laryngo-tracheal stenosis (LTS) represents one of the most common complications of invasive ventilation. Methods A case series of patients who underwent tracheal resection and anastomosis (TRA) for post-COVID-19 LTS was collected from June 2020 to September 2021. Results Among 14 patients included, 50% had diabetes and 64.3% were obese. During intensive care unit stay, mean duration of orotracheal intubation (OTI) was 15.2 days and 10 patients (71.4%) underwent tracheostomy, which was maintained in 7 for an average of 31 days. According to the European Laryngological Society classification, 13 patients (92.9%) had a grade IIIa LTS and one a grade IIIa+. All patients underwent Type A TRA, according to the authors’ classification. No major perioperative complications were reported and at the last follow-up all patients were asymptomatic. Conclusions With the appropriate indications, TRA represents an effective treatment in post-COVID-19 LTS patients. Short OTI times and careful tracheostomy are required in order to reduce the incidence of airway injury.
Collapse
|
15
|
Azam MA, Sampieri C, Ioppi A, Africano S, Vallin A, Mocellin D, Fragale M, Guastini L, Moccia S, Piazza C, Mattos LS, Peretti G. Deep Learning Applied to White Light and Narrow Band Imaging Videolaryngoscopy: Toward Real-Time Laryngeal Cancer Detection. Laryngoscope 2021; 132:1798-1806. [PMID: 34821396 PMCID: PMC9544863 DOI: 10.1002/lary.29960] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 11/05/2021] [Accepted: 11/15/2021] [Indexed: 12/23/2022]
Abstract
OBJECTIVES To assess a new application of artificial intelligence for real-time detection of laryngeal squamous cell carcinoma (LSCC) in both white light (WL) and narrow-band imaging (NBI) videolaryngoscopies based on the You-Only-Look-Once (YOLO) deep learning convolutional neural network (CNN). STUDY DESIGN Experimental study with retrospective data. METHODS Recorded videos of LSCC were retrospectively collected from in-office transnasal videoendoscopies and intraoperative rigid endoscopies. LSCC videoframes were extracted for training, validation, and testing of various YOLO models. Different techniques were used to enhance the image analysis: contrast limited adaptive histogram equalization, data augmentation techniques, and test time augmentation (TTA). The best-performing model was used to assess the automatic detection of LSCC in six videolaryngoscopies. RESULTS Two hundred and nineteen patients were retrospectively enrolled. A total of 624 LSCC videoframes were extracted. The YOLO models were trained after random distribution of images into a training set (82.6%), validation set (8.2%), and testing set (9.2%). Among the various models, the ensemble algorithm (YOLOv5s with YOLOv5m-TTA) achieved the best LSCC detection results, with performance metrics in par with the results reported by other state-of-the-art detection models: 0.66 Precision (positive predicted value), 0.62 Recall (sensitivity), and 0.63 mean Average Precision at 0.5 intersection over union. Tests on the six videolaryngoscopies demonstrated an average computation time per videoframe of 0.026 seconds. Three demonstration videos are provided. CONCLUSION This study identified a suitable CNN model for LSCC detection in WL and NBI videolaryngoscopies. Detection performances are highly promising. The limited complexity and quick computational times for LSCC detection make this model ideal for real-time processing. LEVEL OF EVIDENCE 3 Laryngoscope, 2021.
Collapse
Affiliation(s)
- Muhammad Adeel Azam
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.,Department of Informatics, Bioengineering, Robotics, and System Engineering, University of Genoa, Genoa, Italy
| | - Claudio Sampieri
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Alessandro Ioppi
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Stefano Africano
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Alberto Vallin
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Davide Mocellin
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Marco Fragale
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Luca Guastini
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Sara Moccia
- The BioRobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Cesare Piazza
- Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of Brescia, Brescia, Italy.,Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Leonardo S Mattos
- Department of Advanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.,Department of Informatics, Bioengineering, Robotics, and System Engineering, University of Genoa, Genoa, Italy
| | - Giorgio Peretti
- Unit of Otorhinolaryngology - Head and Neck Surgery, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| |
Collapse
|
16
|
Carobbio ALC, Vallin A, Ioppi A, Missale F, Ascoli A, Mocellin D, Bagnasco D, Mora R, Peretti G, Canevari FRM. Application of bioendoscopy filters in endoscopic assessment of sinonasal Schneiderian papillomas. Int Forum Allergy Rhinol 2021; 11:1025-1028. [PMID: 33438339 DOI: 10.1002/alr.22760] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 12/07/2020] [Accepted: 12/08/2020] [Indexed: 11/07/2022]
Affiliation(s)
- Andrea Luigi Camillo Carobbio
- Scientific Institute for Research, Hospitalization and Healthcare (IRCCS), Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Alberto Vallin
- Scientific Institute for Research, Hospitalization and Healthcare (IRCCS), Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Alessandro Ioppi
- Scientific Institute for Research, Hospitalization and Healthcare (IRCCS), Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Francesco Missale
- Scientific Institute for Research, Hospitalization and Healthcare (IRCCS), Ospedale Policlinico San Martino, Genoa, Italy.,Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Alessandro Ascoli
- Scientific Institute for Research, Hospitalization and Healthcare (IRCCS), Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Davide Mocellin
- Scientific Institute for Research, Hospitalization and Healthcare (IRCCS), Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Diego Bagnasco
- Scientific Institute for Research, Hospitalization and Healthcare (IRCCS), Ospedale Policlinico San Martino, Genoa, Italy.,Allergy and Respiratory Diseases, Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, Genoa, Italy
| | - Renzo Mora
- Scientific Institute for Research, Hospitalization and Healthcare (IRCCS), Ospedale Policlinico San Martino, Genoa, Italy
| | - Giorgio Peretti
- Scientific Institute for Research, Hospitalization and Healthcare (IRCCS), Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Frank Rikki Mauritz Canevari
- Scientific Institute for Research, Hospitalization and Healthcare (IRCCS), Ospedale Policlinico San Martino, Genoa, Italy.,Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| |
Collapse
|
17
|
Bagnasco D, Passalacqua G, Braido F, Tagliabue E, Cosini F, Filauro M, Ioppi A, Carobbio A, Mocellin D, Riccio AM, Canevari FR. Quick Olfactory Sniffin' Sticks Test (Q-Sticks) for the detection of smell disorders in COVID-19 patients. World Allergy Organ J 2021; 14:100497. [PMID: 33495704 PMCID: PMC7816565 DOI: 10.1016/j.waojou.2020.100497] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Revised: 11/17/2020] [Accepted: 12/01/2020] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Coronavirus disease (COVID-19) infection represents a worldwide critical health burden from the sanitary perspective. This disease's symptoms range from a mild flu-like form to a severe life-threatening respiratory disease and respiratory failure. Several patients, however, remain paucisymptomatic. Among the symptoms that seem relevant are the changes in taste and smell, regardless of the disease's severity. METHODS Data from patients affected by COVID-19 infection, hospitalized from 15 to 29 April, 2020, were analyzed. Questionnaires about smell, taste, and nasal function were administered to all, and a proportion also received the Quick olfactory Sniffin' Sticks Test (q-Sticks) to objectivate the presence of anosmia or hyposmia. The results of instruments and Q-Sticks were then compared. RESULTS Thirty-seven patients (20 males, 54.1%), with a mean age 0f 69.19 years (SD = 17.96; median 76, IQR: 63-82) were evaluated. Among the patients, 8 (22%) were asymptomatic. Out of the remaining 29 patients, 28 (97%) had fever, 19 (66%) asthenia, 11 (38%) dry cough, 10 (34%) dyspnea, and 6 (21%) gastroenteric symptoms. The q-Sticks test was performed on 27 patients and showed that 6 with anosmia, and 16 patients had hyposmia, where only 5 (14%) patients complained of loss of smell by conducting the questionnaires. CONCLUSION Although olfactory disturbances may be secondary to other factors, a sudden onset of anosmia or hyposmia should be assessed as a possible symptom of COVID-19 infection. The use of questionnaires or anamnestic collection is sometimes not enough, while adding to them a simple test such as the q-Sticks test can provide more accurate and reliable data. A simple, easy-to-perform, and reliable tool (q-Sticks) for olfactory disorders assessment can be administered to identify the real size of anosmia in patients with COVID-19 infection and detect the early stage of infection or paucisymptomatic patients, therefore becoming important to reduce the spreading of the pandemic.
Collapse
Affiliation(s)
- Diego Bagnasco
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino – Department of Internal Medicine (DIMI), University of Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
| | - Giovanni Passalacqua
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino – Department of Internal Medicine (DIMI), University of Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
| | - Fulvio Braido
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino – Department of Internal Medicine (DIMI), University of Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
| | - Elena Tagliabue
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino – Department of Internal Medicine (DIMI), University of Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
| | - Filippo Cosini
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino – Department of Internal Medicine (DIMI), University of Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
| | - Marta Filauro
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
| | - Alessandro Ioppi
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
| | - Andrea Carobbio
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
| | - Davide Mocellin
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
| | - Anna Maria Riccio
- Allergy and Respiratory Diseases, IRCCS Policlinico San Martino – Department of Internal Medicine (DIMI), University of Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
| | - Frank Rikki Canevari
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
| |
Collapse
|
18
|
Deganello A, Ferrari M, Paderno A, Turri-Zanoni M, Schreiber A, Mattavelli D, Vural A, Rampinelli V, Arosio AD, Ioppi A, Cherubino M, Castelnuovo P, Nicolai P, Battaglia P. Endoscopic-assisted maxillectomy: Operative technique and control of surgical margins. Oral Oncol 2019; 93:29-38. [PMID: 31109693 DOI: 10.1016/j.oraloncology.2019.04.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 03/23/2019] [Accepted: 04/03/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND When amenable to radical excision, cancer involving the maxilla is typically treated with maxillectomy followed by adjuvant therapy. Posterior tumor extension beyond the maxillary box leads to the invasion of complex areas, where achieving clear margins may be challenging. METHODS Patients undergoing endoscopic-assisted maxillectomy for nasoethmoidal, maxillary, or hard palate cancer between 2007 and 2017 were included in the study. Surgical technique, margin status, and recurrences were analyzed. Extension of posterior resection was classified in 3 types (type 1: resection of the pterygopalatine fossa; type 2: resection of the pterygoid plates and related muscles; type 3: resection of the upper parapharyngeal space). The analysis of putative risk factors for involvement of margins and local recurrence was performed with special focus on the posterior and medial margin. RESULTS The study included 79 patients (75 with available follow-up; mean: 20.6 months, range: 6-101 months), 37 (46.8%) of whom underwent type 1 resection, 34 (43.0%) type 2, and 8 (10.1%) type 3. According to pT category, 57 (72.2%) tumors were classified as T4a/T4b. Posterior and medial clear margins were achieved in 76/79 (96.2%) and 75/79 (94.9%) patients, respectively. T4b category, extension to the ethmoid, sphenoid sinus, pterygoid process, orbital cavity, and premaxillary tissues were significantly associated with a higher rate of margin involvement. None of the factors was significantly associated with medial margin involvement. CONCLUSION Endoscopic-assisted maxillectomy combines several refinements including the facilitated detachment of the maxilla from the skull base and precise delineation of the posterior and medial margins of resection.
Collapse
Affiliation(s)
- Alberto Deganello
- Unit of Otorhinolaryngology - Head and Neck Surgery, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy.
| | - Marco Ferrari
- Unit of Otorhinolaryngology - Head and Neck Surgery, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Alberto Paderno
- Unit of Otorhinolaryngology - Head and Neck Surgery, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Mario Turri-Zanoni
- Unit of Otorhinolaryngology, Department of Biotechnology and Life Sciences, University of Insubria, Ospedale di Circolo e Fondazione Macchi, Varese, Italy; Head and Neck Surgery & Forensic Dissection Research Center (HNS&FDRc), Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
| | - Alberto Schreiber
- Unit of Otorhinolaryngology - Head and Neck Surgery, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Davide Mattavelli
- Unit of Otorhinolaryngology - Head and Neck Surgery, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Alperen Vural
- Unit of Otorhinolaryngology - Head and Neck Surgery, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy; Department of Otorhinolaryngology, Faculty of Medicine, Erciyes University, Kayseri, Turkey
| | - Vittorio Rampinelli
- Unit of Otorhinolaryngology - Head and Neck Surgery, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Alberto Daniele Arosio
- Unit of Otorhinolaryngology, Department of Biotechnology and Life Sciences, University of Insubria, Ospedale di Circolo e Fondazione Macchi, Varese, Italy; Head and Neck Surgery & Forensic Dissection Research Center (HNS&FDRc), Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
| | - Alessandro Ioppi
- Unit of Otorhinolaryngology - Head and Neck Surgery, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Mario Cherubino
- Division of Plastic and Reconstructive Surgery, Microsurgery and Lymphatic Surgery Research Center, Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
| | - Paolo Castelnuovo
- Unit of Otorhinolaryngology, Department of Biotechnology and Life Sciences, University of Insubria, Ospedale di Circolo e Fondazione Macchi, Varese, Italy; Head and Neck Surgery & Forensic Dissection Research Center (HNS&FDRc), Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
| | - Piero Nicolai
- Unit of Otorhinolaryngology - Head and Neck Surgery, Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy
| | - Paolo Battaglia
- Unit of Otorhinolaryngology, Department of Biotechnology and Life Sciences, University of Insubria, Ospedale di Circolo e Fondazione Macchi, Varese, Italy; Head and Neck Surgery & Forensic Dissection Research Center (HNS&FDRc), Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
| |
Collapse
|