PMID- 38165207
OWN - NLM
STAT- Publisher
LR  - 20240102
IS  - 1827-675X (Electronic)
IS  - 0392-100X (Linking)
DP  - 2023 Dec 29
TI  - Thyroid cartilage infiltration in advanced laryngeal cancer: prognostic 
      implications and predictive modelling.
LID - 10.14639/0392-100X-N2739 [doi]
AB  - 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.
CI  - Copyright (c) 2023 Societa Italiana di Otorinolaringoiatria e Chirurgia 
      Cervico-Facciale, Rome, Italy.
FAU - Montenegro, Claudia
AU  - Montenegro C
AD  - Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of 
      Brescia, Brescia, Italy.
AD  - Department of Medical and Surgical Specialties, Radiological Sciences and Public 
      Health, University of Brescia, School of Medicine, Brescia, Italy.
FAU - Paderno, Alberto
AU  - Paderno A
AD  - Unit of Otorhinolaryngology, IRCCS Humanitas Research Hospital, Milan, Italy.
FAU - Ravanelli, Marco
AU  - Ravanelli M
AD  - Department of Medical and Surgical Specialties, Radiological Sciences and Public 
      Health, University of Brescia, School of Medicine, Brescia, Italy.
AD  - Unit of Radiology, Department of Medical and Surgical Specialties, Radiological 
      Sciences and Public Health, University of Brescia, School of Medicine, Brescia, 
      Italy.
FAU - Pessina, Carlotta
AU  - Pessina C
AD  - Department of Medical and Surgical Specialties, Radiological Sciences and Public 
      Health, University of Brescia, School of Medicine, Brescia, Italy.
AD  - Unit of Radiology, Department of Medical and Surgical Specialties, Radiological 
      Sciences and Public Health, University of Brescia, School of Medicine, Brescia, 
      Italy.
FAU - Nassih, Fatima-Ezzahra
AU  - Nassih FE
AD  - Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of 
      Brescia, Brescia, Italy.
AD  - Department of Medical and Surgical Specialties, Radiological Sciences and Public 
      Health, University of Brescia, School of Medicine, Brescia, Italy.
FAU - Lancini, Davide
AU  - Lancini D
AD  - Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of 
      Brescia, Brescia, Italy.
AD  - Department of Medical and Surgical Specialties, Radiological Sciences and Public 
      Health, University of Brescia, School of Medicine, Brescia, Italy.
FAU - Del Bon, Francesca
AU  - Del Bon F
AD  - Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of 
      Brescia, Brescia, Italy.
AD  - Department of Medical and Surgical Specialties, Radiological Sciences and Public 
      Health, University of Brescia, School of Medicine, Brescia, Italy.
FAU - Mattavelli, Davide
AU  - Mattavelli D
AD  - Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of 
      Brescia, Brescia, Italy.
AD  - Department of Medical and Surgical Specialties, Radiological Sciences and Public 
      Health, University of Brescia, School of Medicine, Brescia, Italy.
FAU - Farina, Davide
AU  - Farina D
AD  - Department of Medical and Surgical Specialties, Radiological Sciences and Public 
      Health, University of Brescia, School of Medicine, Brescia, Italy.
AD  - Unit of Radiology, Department of Medical and Surgical Specialties, Radiological 
      Sciences and Public Health, University of Brescia, School of Medicine, Brescia, 
      Italy.
FAU - Piazza, Cesare
AU  - Piazza C
AD  - Unit of Otorhinolaryngology - Head and Neck Surgery, ASST Spedali Civili of 
      Brescia, Brescia, Italy.
AD  - Department of Medical and Surgical Specialties, Radiological Sciences and Public 
      Health, University of Brescia, School of Medicine, Brescia, Italy.
LA  - eng
PT  - Journal Article
DEP - 20231229
PL  - Italy
TA  - Acta Otorhinolaryngol Ital
JT  - Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di 
      otorinolaringologia e chirurgia cervico-facciale
JID - 8213019
SB  - IM
OTO - NOTNLM
OT  - cartilage infiltration
OT  - laryngeal cancer
OT  - machine learning
OT  - predictive model
OT  - prognostic factors
OT  - thyroid cartilage
EDAT- 2024/01/02 11:46
MHDA- 2024/01/02 11:46
CRDT- 2024/01/02 09:32
PHST- 2023/08/30 00:00 [received]
PHST- 2023/09/15 00:00 [accepted]
PHST- 2024/01/02 11:46 [medline]
PHST- 2024/01/02 11:46 [pubmed]
PHST- 2024/01/02 09:32 [entrez]
AID - 10.14639/0392-100X-N2739 [doi]
PST - aheadofprint
SO  - Acta Otorhinolaryngol Ital. 2023 Dec 29. doi: 10.14639/0392-100X-N2739.