Multidisciplinary Management of Cutaneous Squamous Cell Carcinoma of the Scalp: An Algorithm for Reconstruction and Treatment.
Manuela RodioMatilde TettamanziEmilio TrignanoSilvia RampazzoPietro Luciano SerraFederica GriecoRiccardo BoccalettiFilippo Veneziani SantonioGiovanni Maria FaddaFabrizio SannaDalila Di MarioCorrado RubinoPublished in: Journal of clinical medicine (2024)
Background : Scalp-associated cutaneous squamous cell carcinoma (cSCC) presents formidable treatment challenges, especially when it leads to full-thickness defects involving bone. Aggressive or recurring cases often demand a multidisciplinary approach. Leveraging our surgical experience and a literature review, we introduce a therapeutic algorithm to guide the selection of reconstruction methods, particularly for locally advanced lesions, furthermore showing the synergy between surgery and other therapies for comprehensive, multidisciplinary disease management. Methods : Our algorithm stems from a retrospective analysis of 202 patients undergoing scalp cSCC resection and reconstruction over a 7-year period, encompassing 243 malignancies. After rigorous risk assessment and documentation of surgical procedures, reconstruction methods were therefore related to malignancy extent, depth, and individual clinical status. Results : The documented reconstructions included 76 primary closures, 115 skin grafts, 7 dermal substitute reconstructions, 33 local flaps, 1 locoregional flap, and 1 microsurgical free flap. Patients unsuitable for surgery received radiotherapy or immunotherapy after histological confirmation. Precise analysis of tumor characteristics in terms of infiltration extent and depth guided the selection of appropriate reconstruction and treatment strategies Combining these insights with an extensive literature review enabled us to formulate our algorithm for managing scalp cSCCs. Conclusions : Effectively addressing scalp cSCC, especially in locally advanced or recurrent cases, demands a systematic approach integrating surgery, radiotherapy, and immunotherapy. Our multidisciplinary team's decision-making algorithm improved patient outcomes by offering a broader spectrum of therapeutic options that can synergistically achieve optimal results.
Keyphrases
- locally advanced
- squamous cell carcinoma
- machine learning
- deep learning
- minimally invasive
- coronary artery bypass
- risk assessment
- rectal cancer
- patients undergoing
- quality improvement
- soft tissue
- neoadjuvant chemotherapy
- optical coherence tomography
- radiation therapy
- decision making
- early stage
- neural network
- case report
- surgical site infection
- end stage renal disease
- lymph node metastasis
- newly diagnosed
- palliative care
- radiation induced
- clinical trial
- body composition
- breast reconstruction
- magnetic resonance
- bone mineral density
- climate change
- percutaneous coronary intervention
- drug induced
- patient reported outcomes
- atrial fibrillation
- electronic health record
- contrast enhanced
- replacement therapy