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1.
J Surg Oncol ; 112(6): 650-3, 2015 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-26420733

RESUMO

OBJECTIVE: Laparoscopic adrenalectomy has become the standard of care for many adrenal tumors. However, the success of the operation hinges on identifying the adrenal vein and complete tumor resection. We demonstrate the use of a commercially available near infrared fluorescent imaging system to clearly delineate the vascular anatomy of adrenal neoplasms and enhance the border between tumor and normal tissue. We hypothesize that this will increase the safety of laparoscopic adrenalectomy. MATERIALS AND METHODS: We performed laparoscopic adrenalectomy utilizing indocyanine green (ICG) and a specialized laparoscopic fluorescence imaging system on four consecutive patients undergoing laparoscopic adrenalectomy over a 4-month period. RESULTS: The adrenal arteries and vein were vividly enhanced with ICG fluorescence guidance, and the border between tumor and adjacent tissue was clearly demarcated. The operations were performed safely with minimal blood loss and short operative times. There were no complications. CONCLUSIONS: Adrenal neoplasms can be resected laparoscopically under ICG fluorescence guidance and can be used to clearly identify vascular structures and enhance the borders of the tumor. This technique allows for clear identification of the adrenal vein and has the potential to improve the safety of laparoscopic adrenalectomy.


Assuntos
Adenoma/cirurgia , Neoplasias das Glândulas Suprarrenais/cirurgia , Adrenalectomia , Corantes Fluorescentes , Verde de Indocianina , Feocromocitoma/cirurgia , Cirurgia Assistida por Computador , Adenoma/patologia , Neoplasias das Glândulas Suprarrenais/patologia , Adulto , Feminino , Humanos , Laparoscopia , Pessoa de Meia-Idade , Estadiamento de Neoplasias , Posicionamento do Paciente , Feocromocitoma/patologia , Prognóstico , Adulto Jovem
2.
Surg Endosc ; 27(9): 3478-84, 2013 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-23494511

RESUMO

BACKGROUND: To demonstrate the feasibility of an innovative technique for the surgical management of rectal cancer, we performed transanal minimally invasive surgery assisted low anterior resection with total mesorectal excision (TAMIS-assisted LAR with TME) in a cadaver model. Transanal LAR via natural orifice transluminal endoscopic surgery has been reported in cadaveric series using rigid transanal platforms. This procedure has not been described using a combination of a single incision laparoscopy and TAMIS transanal endoscopic platform. We describe the first cadaveric series of TAMIS-assisted LAR with TME. METHODS: TAMIS-assisted LAR with TME was successfully performed in five fresh human cadavers. The procedure was performed using the mini-Gelpoint single incision platform and the Gelpoint Path TAMIS platform (Applied Medical, Rancho Santa Margarita, CA). The variables recorded were age, body mass index (BMI), operative time, complications, and specimen length. The grade of the TME was determined by evaluation of the specimen by photo documentation by a gastrointestinal pathologist. RESULTS: All cadavers were male with a mean age of 71 ± 8 years and mean BMI of 28 ± 3 kg/m(2). The mean operative time was 200 ± 55 min (range 128-249 min). The quality of the TME was grade I (complete) with intact mesorectum in all five cases. The mean specimen length was 36.8 ± 3.4 cm. CONCLUSIONS: TAMIS-assisted LAR with TME was feasible. A high-quality TME can be achieved using this innovative technique. Transanal endoscopic total mesorectal dissection may revolutionize the surgical management of rectal cancer. However, multicenter clinical trials are needed to further evaluate the oncologic safety and surgical outcomes of transanal endoscopic TME using various platforms before widespread application of this new technique.


Assuntos
Procedimentos Cirúrgicos do Sistema Digestório/métodos , Cirurgia Endoscópica por Orifício Natural/métodos , Reto/cirurgia , Abdome/cirurgia , Idoso , Canal Anal , Cadáver , Estudos de Viabilidade , Humanos , Masculino , Pneumoperitônio Artificial
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