Publications by authors named "Carlos M Chiesa Estomba"

Purpose: Head and neck cancer (HNC) remains a significant global health concern with rising incidence and substantial impacts on patients' quality of life. Patients often experience adverse effects from both the disease and its treatment, affecting daily functions and social interactions. This study assesses the usability, interest, and satisfaction of HNC patients in using Step Oncology platform for improved treatment adherence and quality of life.

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This study evaluates the quality and readability of informed consent documents generated by AI platforms ChatGPT-4 and Bard Gemini Advanced compared to those written by a first-year oral surgery resident for common oral surgery procedures. The evaluation, conducted by 18 experienced oral and maxillofacial surgeons, assessed consents for accuracy, completeness, readability, and overall quality. ChatGPT-4 consistently outperformed both Bard and human-written consents.

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  • * A total of 41 ENS patients were assessed alongside control groups, revealing that ENS patients exhibited significantly higher LPRD symptoms and severity, as well as a notable prevalence of depression.
  • * The results indicated that LPRD symptoms were much more common in ENS patients than in controls, suggesting a strong association that warrants further research using objective methods to confirm these findings.
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  • Benign neck masses are common in head & neck clinics and are often diagnosed using fine needle aspiration cytology (FNAC) and core needle biopsy (CNB), which are effective and can reduce the need for surgery.
  • A study analyzed data from 192 patients undergoing ultrasound-guided FNAC or CNB for benign neck conditions, finding that most complications were minor, with infections being the most frequent.
  • The results indicate that both FNAC and CNB are safe procedures for diagnosing neck lumps, but doctors should be cautious of potential risks, especially in specific conditions like branchial cleft cysts.
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  • Oral cavity cancer (OCC) is the most common type of head and neck cancer, with limited studies suggesting that chronic irritation from factors like poor dental hygiene and ill-fitting dentures may contribute to its development, especially in non-smokers and non-drinkers.
  • This scoping review analyzed existing research from several databases to assess the relationship between dental trauma and OCC, following established guidelines for systematic reviews.
  • Results indicate a potential link between chronic dental trauma and OCC, particularly highlighting the risks associated with dentures and poor oral hygiene, while also noting a lack of data on the impact of gender and the specific vulnerability of women without smoking or drinking habits.
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  • Non-melanoma skin cancers like basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC) are increasingly common, necessitating better diagnostic tools.
  • A prospective study evaluated a CE-certified deep learning-based medical device for diagnosing skin lesions in a head & neck outpatient clinic, involving 135 patients with a focus on BCC, cSCC, and benign lesions.
  • The device showed over 90% accuracy in identifying malignant lesions as one of the top-5 diagnoses, indicating its potential for early detection and treatment of skin cancers, and further research is recommended to explore its applications in various medical settings.
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  • A study compared the performance of ChatGPT 3.5 and GPT-4 (Microsoft Copilot) in a public healthcare otolaryngology exam against actual specialist scores.
  • The examination consisted of 135 questions, and GPT-4 scored 88.5 points while ChatGPT scored 60 points, highlighting significant differences in accuracy.
  • GPT-4 ranked as the second-best performer among 108 candidates, while ChatGPT placed 83rd, demonstrating that GPT-4 has a better ability to answer medical questions accurately.
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  • The study aimed to assess how consistently ChatGPT-4 analyzes clinical images of common laryngological conditions and compares its performance to that of expert laryngologists.
  • The results showed that while ChatGPT-4 had a mean consistency score for image interpretation of 2.46 out of 5, it accurately analyzed cases only 15% of the time and had notable errors in diagnosing vocal fold issues.
  • The conclusion indicates that ChatGPT-4 is better at suggesting initial diagnoses than at accurately analyzing clinical images or recommending appropriate additional examinations and treatments.*
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Introduction: Juvenile recurrent parotitis is a rare disease characterized by repeated episodes of inflammation affecting, unilaterally or bilaterally, the parotid glands during childhood.

Material And Methods: Retrospective study including patients diagnosed with juvenile recurrent parotitis between January 2010 and September 2020 at a tertiary level hospital, with the aim of evaluating the results of medical treatment and sialendoscopy.

Results: A total of 48 patients met the inclusion criteria and had a mean follow-up of 4 years (SD = 3; Min: 2/Max: 12).

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Objective: Antibiotics have been prescribed routinely in sialendoscopy procedures to reduce the risk of postoperative infection, despite the limited evidence supporting this practice. Being necessary to assess the need for antibiotics in Sialendoscopy, aiming to provide evidence-based guidance to clinicians regarding antibiotic administration in this procedure.

Materials & Method: A prospective, randomized, double-blind, controlled clinical trial to evaluate the of prophylactic antibiotics in Sialendoscopy was designed.

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Previous studies have assessed the capability of PRAAT for acoustic voice analysis in total laryngectomized (TL) patients, although this software was designed for acoustic analysis of laryngeal voice. Recently, we have witnessed the development of specialized acoustic analysis software, Tracheoesophageal Voice Analysis (TEVA). This study aims to compare the analysis with both programs in TL patients.

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Stereotactic body radiotherapy (SBRT) is characterized by a high dose per fraction, well-defined small targets, superior dose conformity, and a steep off-target dose gradient. A literature search was conducted to examine the experience with SBRT as a curative treatment for newly diagnosed mucosal carcinoma of the head and neck (MCHN). Four retrospective case series and one prospective phase I clinical trial published between 2012 and 2020 described 124 patients.

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  • The study introduced the Quality Assessment of Medical Artificial Intelligence (QAMAI), a tool aimed at evaluating the quality of health information from AI platforms, highlighting the need for such assessments as AI use expands in healthcare.
  • QAMAI was validated through a rigorous process involving 27 reviewers who evaluated responses generated by ChatGPT4, demonstrating strong reliability and validity metrics, including a high internal consistency (Cronbach's alpha = 0.837) and excellent inter-rater reliability (ICC = 0.983).
  • The successful validation of QAMAI suggests it could be an important resource for healthcare professionals as more patients turn to AI for medical information, helping ensure they receive quality data.
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Objective: To study the performance of Chatbot Generative Pretrained Transformer-4 (ChatGPT-4) in the management of cases in otolaryngology-head and neck surgery.

Study Design: Prospective case series.

Setting: Multicenter University Hospitals.

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  • A study was done to see if adding voice therapy to regular medicine helps people with laryngopharyngeal reflux (LPR) feel better.
  • 52 patients were split into two groups: one got just medicine, and the other got medicine plus voice therapy.
  • After 3 months, the group with voice therapy showed more improvement in their symptoms and voice than the group with just medicine.
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Introduction: Machine learning (ML)-based facial nerve injury (FNI) forecasting grounded on multicentric data has not been released up to now. Three distinct ML models, random forest (RF), -nearest neighbor, and artificial neural network (ANN), for the prediction of FNI were evaluated in this mode.

Methods: A retrospective, longitudinal, multicentric study was performed, including patients who went through parotid gland surgery for benign tumors at three different university hospitals.

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  • * A group of 48 international experts used a modified Delphi process to review and reach a consensus on 48 statements regarding LPR, achieving agreement on 38 of them (79.2%) after three voting rounds.
  • * The consensus defines LPR as a disease caused by reflux of stomach contents affecting the upper aerodigestive tract, and highlights specific symptoms and diagnostic tools to aid clinicians in recognizing and diagnosing the condition.
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The velopalatine sphincter is a muscular valve that creates a hermetic seal between the nasopharynx and the oropharynx. It guarantees phonation, swallowing, and breathing (forces expirations). In wind musicians, sphincter closure must be precise during sound generation.

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 Oral cavity squamous cell carcinoma (OCSCC) is the most common malignancy in the oral cavity. Two types of mandibular resections have been described: the segmental mandibulectomy and the marginal mandibulectomy. Both may have a different impact over the quality of life, oncological prognosis, and functional or aesthetic result.

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Objectives: To study the performance of ChatGPT in the management of laryngology and head and neck (LHN) cases.

Methods: History and clinical examination of patients consulting at the Otolaryngology-Head and Neck Surgery department were presented to ChatGPT, which was interrogated for differential diagnosis, management, and treatment. The ChatGPT performance was assessed by two blinded board-certified otolaryngologists using the following items of a composite score and the Ottawa Clinic Assessment Tool: differential diagnosis; additional examination; and treatment options.

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