Thyroid cartilage infiltration in advanced laryngeal cancer : prognostic implications and predictive modelling
Copyright © 2023 Società Italiana di Otorinolaringoiatria e Chirurgia Cervico-Facciale, Rome, Italy..
Objective: Detection of laryngeal cartilage invasion is of great importance in staging of laryngeal squamous cell carcinoma (LSCC). The role of prognosticators in locally advanced laryngeal cancer are still widely debated. This study aimed to assess the impact of volume of thyroid cartilage infiltration, as well as other histopathologic variables, on patient survival.
Materials and methods: We retrospectively analysed 74 patients affected by pT4 LSCC and treated with total laryngectomy between 2005 and 2021 at the Department of Otorhinolaryngology - Head and Neck Surgery of the University of Brescia, Italy. We considered as potential prognosticators histological grade, perineural (PNI) and lympho-vascular invasion (LVI), thyroid cartilage infiltration, and pTN staging. Pre-operative CT or MRI were analysed to quantify the volume of cartilage infiltration using 3D Slicer software.
Results: The 1-, 3-, and 5-year disease free survivals (DFS) were 76%, 66%, and 64%, respectively. Using machine learning models, we found that the volume of thyroid cartilage infiltration had high correlation with DFS. Patients with a higher volume (> 670 mm3) of infiltration had a worse prognosis compared to those with a lower volume.
Conclusions: Our study confirms the essential role of LVI as prognosticator in advanced LSCC and, more innovatively, highlights the volume of thyroid cartilage infiltration as another promising prognostic factor.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2023 |
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| Enthalten in: |
Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale - (2023) vom: 29. Dez. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Montenegro, Claudia [VerfasserIn] |
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| Links: |
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| Themen: |
Cartilage infiltration |
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| Anmerkungen: |
Date Revised 02.01.2024 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.14639/0392-100X-N2739 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM366558455 |
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| 500 | |a Date Revised 02.01.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status Publisher | ||
| 520 | |a Copyright © 2023 Società Italiana di Otorinolaringoiatria e Chirurgia Cervico-Facciale, Rome, Italy. | ||
| 520 | |a Objective: Detection of laryngeal cartilage invasion is of great importance in staging of laryngeal squamous cell carcinoma (LSCC). The role of prognosticators in locally advanced laryngeal cancer are still widely debated. This study aimed to assess the impact of volume of thyroid cartilage infiltration, as well as other histopathologic variables, on patient survival | ||
| 520 | |a Materials and methods: We retrospectively analysed 74 patients affected by pT4 LSCC and treated with total laryngectomy between 2005 and 2021 at the Department of Otorhinolaryngology - Head and Neck Surgery of the University of Brescia, Italy. We considered as potential prognosticators histological grade, perineural (PNI) and lympho-vascular invasion (LVI), thyroid cartilage infiltration, and pTN staging. Pre-operative CT or MRI were analysed to quantify the volume of cartilage infiltration using 3D Slicer software | ||
| 520 | |a Results: The 1-, 3-, and 5-year disease free survivals (DFS) were 76%, 66%, and 64%, respectively. Using machine learning models, we found that the volume of thyroid cartilage infiltration had high correlation with DFS. Patients with a higher volume (> 670 mm3) of infiltration had a worse prognosis compared to those with a lower volume | ||
| 520 | |a Conclusions: Our study confirms the essential role of LVI as prognosticator in advanced LSCC and, more innovatively, highlights the volume of thyroid cartilage infiltration as another promising prognostic factor | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a cartilage infiltration | |
| 650 | 4 | |a laryngeal cancer | |
| 650 | 4 | |a machine learning | |
| 650 | 4 | |a predictive model | |
| 650 | 4 | |a prognostic factors | |
| 650 | 4 | |a thyroid cartilage | |
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| 700 | 1 | |a Ravanelli, Marco |e verfasserin |4 aut | |
| 700 | 1 | |a Pessina, Carlotta |e verfasserin |4 aut | |
| 700 | 1 | |a Nassih, Fatima-Ezzahra |e verfasserin |4 aut | |
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| 700 | 1 | |a Mattavelli, Davide |e verfasserin |4 aut | |
| 700 | 1 | |a Farina, Davide |e verfasserin |4 aut | |
| 700 | 1 | |a Piazza, Cesare |e verfasserin |4 aut | |
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