Reliability of a Multidisciplinary Multiparametric Approach in the Surgical Planning of Laryngeal Squamous Cell Carcinomas: A Retrospective Observational Study.
Davide RizzoClaudia CrescioPierangela TramaloniLaura Maria De LucaNicola TurraAlessandra MancaPaola CrivelliChiara R TianaAlberto FaraAntonio CossuStefano ProfiliMariano ScaglioneFrancesco BussuPublished in: Journal of personalized medicine (2022)
(1) Background: Endoscopy and morphological imaging are the mainstay of the diagnostic work up of laryngeal squamous cell carcinomas (LSCCs), which can be integrated in a multidisciplinary discussion to obtain a shared pretreatment staging. (2) Methods: A retrospective evaluation of patients, managed at a tertiary university hospital in Italy and submitted to major laryngeal surgery, has been performed. Four different stagings have been defined and compared: epTN (based on endoscopy and physical ENT examination); radTN (based on CT scan); cTN (based on multidisciplinary integration of the two above); pTN based on pathology on surgical samples. Oncological outcomes have been assessed. (3) Results: Three-year relapse free and disease specific survival were 88% and 92.5%, respectively, without significant differences between partial surgeries ( n = 13) and total laryngectomies ( n = 32). As for the pretreatment staging, and in particular the T classification, the cTN has been revealed as more reliable than epTN and radTN alone in predicting the final pT (Cohen kappa coefficient: 0.7 for cT, 0.44 for radT, 0.32 for epT). In the partial surgery group, we did not record any positive margin nor local recurrence, with a 100% overall and disease-specific survival. (4) Conclusions: The multidisciplinary approach is fundamental in the definition of the primary lesion in LSCC, in particular in order to safely perform surgical preservation of laryngeal function, which is associated with a higher laryngectomy-free survival than irradiation but to a lower salvageability in case of recurrence.
Keyphrases
- free survival
- squamous cell
- minimally invasive
- computed tomography
- end stage renal disease
- coronary artery bypass
- quality improvement
- lymph node
- dual energy
- image quality
- chronic kidney disease
- ejection fraction
- newly diagnosed
- contrast enhanced
- high grade
- pet ct
- deep learning
- high resolution
- prognostic factors
- machine learning
- mental health
- nuclear factor
- prostate cancer
- type diabetes
- peritoneal dialysis
- small bowel
- rectal cancer
- magnetic resonance
- immune response
- coronary artery disease
- radiation therapy
- skeletal muscle