BACKGROUND: Advances in the management of rectal cancer have resulted in an increased application of multimodal therapy with the aim of tailoring therapy to individual patients. Complete pathological response (pCR) is associated with improved survival and may be potentially managed without radical surgical resection. Over the last decade, there has been increasing interest in the ability of functional imaging to predict complete response to treatment. The aim of this review was to assess the role of (18)F-flurordeoxyglucose positron emission tomography (FDG-PET) in prediction of pCR and prognosis in resectable locally advanced rectal cancer. METHODS: A search of the MEDLINE and Embase databases was conducted, and a systematic review of the literature investigating positron emission tomography (PET) in the prediction of pCR and survival in rectal cancer was performed. RESULTS: Seventeen series assessing PET prediction of pCR were included in the review. Seven series assessed postchemoradiation SUVmax, which was significantly different between response groups in all six studies that assessed this. Nine series assessed the response index (RI) for SUVmax, which was significantly different between response groups in seven series. Thirteen studies investigated PET response for prediction of survival. Metabolic complete response assessed by SUV2max or visual response and RISUVmax showed strong associations with disease-free survival (DFS) and overall survival (OS). CONCLUSION: SUV2max and RISUVmax appear to be useful FDG-PET markers for prediction of pCR and these parameters also show strong associations with DFS and OS. FDG-PET may have a role in outcome prediction in patients with advanced rectal cancer.
BACKGROUND: Advances in the management of rectal cancer have resulted in an increased application of multimodal therapy with the aim of tailoring therapy to individual patients. Complete pathological response (pCR) is associated with improved survival and may be potentially managed without radical surgical resection. Over the last decade, there has been increasing interest in the ability of functional imaging to predict complete response to treatment. The aim of this review was to assess the role of (18)F-flurordeoxyglucose positron emission tomography (FDG-PET) in prediction of pCR and prognosis in resectable locally advanced rectal cancer. METHODS: A search of the MEDLINE and Embase databases was conducted, and a systematic review of the literature investigating positron emission tomography (PET) in the prediction of pCR and survival in rectal cancer was performed. RESULTS: Seventeen series assessing PET prediction of pCR were included in the review. Seven series assessed postchemoradiation SUVmax, which was significantly different between response groups in all six studies that assessed this. Nine series assessed the response index (RI) for SUVmax, which was significantly different between response groups in seven series. Thirteen studies investigated PET response for prediction of survival. Metabolic complete response assessed by SUV2max or visual response and RISUVmax showed strong associations with disease-free survival (DFS) and overall survival (OS). CONCLUSION: SUV2max and RISUVmax appear to be useful FDG-PET markers for prediction of pCR and these parameters also show strong associations with DFS and OS. FDG-PET may have a role in outcome prediction in patients with advanced rectal cancer.
Authors: Eric Sorenson; Fernando Lambreton; Jian Q Yu; Tianyu Li; Crystal S Denlinger; Joshua E Meyer; Elin R Sigurdson; Jeffrey M Farma Journal: J Surg Res Date: 2019-06-21 Impact factor: 2.192
Authors: Pierre Lovinfosse; Marc Polus; Daniel Van Daele; Philippe Martinive; Frédéric Daenen; Mathieu Hatt; Dimitris Visvikis; Benjamin Koopmansch; Frédéric Lambert; Carla Coimbra; Laurence Seidel; Adelin Albert; Philippe Delvenne; Roland Hustinx Journal: Eur J Nucl Med Mol Imaging Date: 2017-10-18 Impact factor: 9.236
Authors: Azadeh Azizian; Ingo Epping; Frank Kramer; Peter Jo; Markus Bernhardt; Julia Kitz; Gabriela Salinas; Hendrik A Wolff; Marian Grade; Tim Beißbarth; B Michael Ghadimi; Jochen Gaedcke Journal: Int J Mol Sci Date: 2016-04-15 Impact factor: 5.923