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1.
Obes Surg ; 34(7): 2553-2561, 2024 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-38822904

RESUMO

BACKGROUND: Bariatric surgery patients may develop common bile duct stones, and the alterations in their anatomy present challenges in treating this condition. Methods such as laparoscopic bile duct exploration is impractical in many healthcare facilities, due to the absence of a choledochoscope. This study assesses the feasibility of laparoscopic exploration of the common bile duct using a disposable bronchoscope in these individuals. METHOD: The study involved 32 participants who had undergone gastric bypass surgery. These participants presented with both bile duct stones and bile ducts exceeding 8 mm in diameter, diagnosed through either MRCP or cholangiography conducted during the surgery. Stone extraction was carried out through either choledotomy or transcystic routes using a disposable bronchoscope and endoscopic baskets. RESULTS: The patients' ages ranged from 27 to 66 years, with a mean bile duct diameter of 11.6 mm (SD 3.1 mm). A 100% stone clearance rate was achieved for all patients. None of the patients required conversion to open surgery. No T-tubes were placed. One patient developed biloma and intra-abdominal abscesses, which were successfully treated with a percutaneous drain over the course of a week. No mortalities were recorded during the course of this study. CONCLUSION: Our study results demonstrate that laparoscopic bile duct exploration is both feasible and safe in patients who have undergone gastric bypass surgery. The utilization of a disposable bronchoscope emerges as a practical and cost-effective alternative to a choledochoscope in this procedure.


Assuntos
Equipamentos Descartáveis , Estudos de Viabilidade , Cálculos Biliares , Derivação Gástrica , Laparoscopia , Obesidade Mórbida , Humanos , Pessoa de Meia-Idade , Feminino , Adulto , Masculino , Derivação Gástrica/métodos , Idoso , Laparoscopia/métodos , Obesidade Mórbida/cirurgia , Cálculos Biliares/cirurgia , Broncoscópios , Resultado do Tratamento , Ducto Colédoco/cirurgia
2.
Obes Surg ; 33(12): 3971-3980, 2023 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-37889368

RESUMO

BACKGROUND: Recent advancements in artificial intelligence, such as OpenAI's ChatGPT-4, are revolutionizing various sectors, including healthcare. This study investigates the use of ChatGPT-4 in identifying suitable candidates for bariatric surgery and providing surgical recommendations to improve decision-making in obesity treatment amid the global obesity epidemic. METHODS: We devised ten patient scenarios, thoughtfully encompassing a spectrum that spans from uncomplicated cases to more complex ones. Our objective was to delve into the decision-making process regarding the recommendation of bariatric surgery. From July 29th to August 10th, 2023, we conducted a voluntary online survey involving thirty prominent bariatric surgeons, ensuring that there was no predetermined bias in the selection of a specific type of bariatric surgery. This survey was designed to collect their insights on these scenarios and gain a deeper understanding of their professional experience and background in the field of bariatric surgery. Additionally, we consulted ChatGPT-4 in two separate conversations to evaluate its alignment with expert opinions on bariatric surgery options. RESULTS: In 40% of the scenarios, disparities were identified between the two conversations with ChatGPT-4. It matched expert opinions in 30% of cases. Differences were noted in cases like gastrointestinal metaplasia and gastric adenocarcinoma, but there was alignment with conditions like endometriosis and GERD. CONCLUSION: The evaluation of ChatGPT-4's role in determining bariatric surgery suitability uncovered both potential and shortcomings. Its alignment with experts was inconsistent, and it often overlooked key factors, emphasizing human expertise's value. Its current use requires caution, and further refinement is needed for clinical application.


Assuntos
Bariatria , Obesidade Mórbida , Feminino , Humanos , Prova Pericial , Inteligência Artificial , Obesidade Mórbida/cirurgia , Obesidade
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