BACKGROUND: The optimal strategy remains controversial for adrenal incidentaloma, 4 to 6 cm in size, nonfunctioning, and without malignant imaging characteristics. A decision analysis model was used to identify relevant variables for selecting the optimal management (observation versus adrenalectomy). MATERIAL/ METHODS: Risk/benefit analysis in tertiary care center. The probabilities of each health outcome states were determined by a review of the literature from 1980 to 2002 (n=2844 patients); and from a retrospective review of experience at University of California San Francisco (UCSF). RESULTS: The baseline probabilities of morbidity after laparoscopic unilateral adrenalectomy and a new indication developing during initial observation (hypersecretion, size increase, malignancy) were 7.8% and 3.1%, respectively. We found observation to be the preferred approach when using baseline probabilities and utilities. Laparoscopic adrenalectomy becomes the preferred approach however if: (1) The morbidity rate from laparoscopic unilateral adrenalectomy is < 3.0%, 2) The probability of a new indication developing for adrenalectomy during observation is > 7.5%, 3) A patient's perspective of observation has a utility of lower than 98.6%, and (4) A patient views having a complication from adrenalectomy is not much deleterious (utility > 88.1%). CONCLUSIONS: This decision analysis model identifies the important variables for selecting the optimal management approach for adrenal incidentalomas. These results can be used to select the optimal management strategy based on individual patient preference and surgeon-specific complication rate.
BACKGROUND: The optimal strategy remains controversial for adrenal incidentaloma, 4 to 6 cm in size, nonfunctioning, and without malignant imaging characteristics. A decision analysis model was used to identify relevant variables for selecting the optimal management (observation versus adrenalectomy). MATERIAL/ METHODS: Risk/benefit analysis in tertiary care center. The probabilities of each health outcome states were determined by a review of the literature from 1980 to 2002 (n=2844 patients); and from a retrospective review of experience at University of California San Francisco (UCSF). RESULTS: The baseline probabilities of morbidity after laparoscopic unilateral adrenalectomy and a new indication developing during initial observation (hypersecretion, size increase, malignancy) were 7.8% and 3.1%, respectively. We found observation to be the preferred approach when using baseline probabilities and utilities. Laparoscopic adrenalectomy becomes the preferred approach however if: (1) The morbidity rate from laparoscopic unilateral adrenalectomy is < 3.0%, 2) The probability of a new indication developing for adrenalectomy during observation is > 7.5%, 3) A patient's perspective of observation has a utility of lower than 98.6%, and (4) A patient views having a complication from adrenalectomy is not much deleterious (utility > 88.1%). CONCLUSIONS: This decision analysis model identifies the important variables for selecting the optimal management approach for adrenal incidentalomas. These results can be used to select the optimal management strategy based on individual patient preference and surgeon-specific complication rate.
Authors: Antonio Toniato; Isabella Boschin; Paolo Bernante; Mirto Foletto; Anna Maria Guolo; Maria Rosa Pelizzo; Giuseppe Opocher; Enzo Ballotta; Franco Mantero Journal: Surg Endosc Date: 2008-07-15 Impact factor: 4.584
Authors: Jesús María Villar; Pablo Moreno; Joaquín Ortega; Elisabeth Bollo; César Pablo Ramírez; Nuria Muñoz; Cristina Martínez; Eduardo Domínguez-Adame; Juan Sancho; José Miguel del Pino; José Manuel Couselo; Ana Carrión; Marifé Candel; Nieves Cáceres; José María Octavio; Francisco Mateo; Lourdes Galán; José Manuel Ramia; Javier Aguiló; Francisco Herrera Journal: Langenbecks Arch Surg Date: 2010-07-25 Impact factor: 3.445
Authors: Andreas Muth; Charles Taft; Lilian Hammarstedt; Lena Björneld; Mikael Hellström; Bo Wängberg Journal: Endocrine Date: 2012-12-20 Impact factor: 3.633