PURPOSE: The objective of this study was to evaluate the role of (18)F-FDG PET/CT in predicting overall survival in inflammatory breast cancer patients undergoing neoadjuvant chemotherapy. METHODS: Included in this retrospective study were 53 patients with inflammatory breast cancer who had at least two PET/CT studies including a baseline study before the start of neoadjuvant chemotherapy. Univariate and multivariate analyses were performed to assess the effects on survival of the following factors: tumor maximum standardized uptake value (SUVmax) at baseline, preoperatively and at follow-up, decrease in tumor SUVmax, histological tumor type, grade, estrogen, progesterone, HER2/neu receptor status, and extent of disease at presentation including axillary nodal and distant metastases. RESULTS: By univariate analysis, survival was significantly associated with decrease in tumor SUVmax and tumor receptor status. Patients with decrease in tumor SUVmax had better survival (P = 0.02). Patients with a triple-negative tumor (P = 0.0006), a Her2/neu-negative tumor (P = 0.038) or an ER-negative tumor (P = 0.039) had worse survival. Multivariate analysis confirmed decrease in tumor SUVmax and triple-negative receptor status as significant predictors of survival. Every 10% decrease in tumor SUVmax from baseline translated to a 15% lower probability of death, and complete resolution of tumor FDG uptake translated to 80% lower probability of death (P = 0.014). Patients with a triple-negative tumor had 4.11 times higher probability of death (P = 0.004). CONCLUSION: Decrease in tumor SUVmax is an independent predictor of survival in patients with inflammatory breast cancer undergoing neoadjuvant chemotherapy. Further investigation with prospective studies is warranted to clarify its role in assessing response and altering therapy.
PURPOSE: The objective of this study was to evaluate the role of (18)F-FDG PET/CT in predicting overall survival in inflammatory breast cancerpatients undergoing neoadjuvant chemotherapy. METHODS: Included in this retrospective study were 53 patients with inflammatory breast cancer who had at least two PET/CT studies including a baseline study before the start of neoadjuvant chemotherapy. Univariate and multivariate analyses were performed to assess the effects on survival of the following factors: tumor maximum standardized uptake value (SUVmax) at baseline, preoperatively and at follow-up, decrease in tumor SUVmax, histological tumor type, grade, estrogen, progesterone, HER2/neu receptor status, and extent of disease at presentation including axillary nodal and distant metastases. RESULTS: By univariate analysis, survival was significantly associated with decrease in tumor SUVmax and tumor receptor status. Patients with decrease in tumor SUVmax had better survival (P = 0.02). Patients with a triple-negative tumor (P = 0.0006), a Her2/neu-negative tumor (P = 0.038) or an ER-negative tumor (P = 0.039) had worse survival. Multivariate analysis confirmed decrease in tumor SUVmax and triple-negative receptor status as significant predictors of survival. Every 10% decrease in tumor SUVmax from baseline translated to a 15% lower probability of death, and complete resolution of tumor FDG uptake translated to 80% lower probability of death (P = 0.014). Patients with a triple-negative tumor had 4.11 times higher probability of death (P = 0.004). CONCLUSION: Decrease in tumor SUVmax is an independent predictor of survival in patients with inflammatory breast cancer undergoing neoadjuvant chemotherapy. Further investigation with prospective studies is warranted to clarify its role in assessing response and altering therapy.
Authors: N T Ueno; A U Buzdar; S E Singletary; F C Ames; M D McNeese; F A Holmes; R L Theriault; E A Strom; B J Wasaff; L Asmar; D Frye; G N Hortobagyi Journal: Cancer Chemother Pharmacol Date: 1997 Impact factor: 3.333
Authors: H Young; R Baum; U Cremerius; K Herholz; O Hoekstra; A A Lammertsma; J Pruim; P Price Journal: Eur J Cancer Date: 1999-12 Impact factor: 9.162
Authors: P Bassa; E E Kim; T Inoue; F C Wong; M Korkmaz; D J Yang; W H Wong; K W Hicks; A U Buzdar; D A Podoloff Journal: J Nucl Med Date: 1996-06 Impact factor: 10.057
Authors: Eleanor E R Harris; Delray Schultz; Helaine Bertsch; Kevin Fox; John Glick; Lawrence J Solin Journal: Int J Radiat Oncol Biol Phys Date: 2003-04-01 Impact factor: 7.038
Authors: J Emmering; N C Krak; J J M Van der Hoeven; M D Spreeuwenberg; J W R Twisk; S Meijer; H M Pinedo; O S Hoekstra Journal: Ann Oncol Date: 2008-06-13 Impact factor: 32.976
Authors: Colleen M Costelloe; Homer A Macapinlac; John E Madewell; Nancy E Fitzgerald; Osama R Mawlawi; Eric M Rohren; A Kevin Raymond; Valerae O Lewis; Peter M Anderson; Roland L Bassett; Robyn K Harrell; Edith M Marom Journal: J Nucl Med Date: 2009-03 Impact factor: 10.057
Authors: Benjamin E Ueberroth; Jawana M Lawhorn-Crews; Lance K Heilbrun; Daryn W Smith; Janice Akoury; Rouba Ali-Fehmi; Nicole T Eiseler; Anthony F Shields Journal: Ann Nucl Med Date: 2019-02-27 Impact factor: 2.668
Authors: Eric M Rohren; Elba C Etchebehere; John C Araujo; Brian P Hobbs; Nancy M Swanston; Michael Everding; Tracy Moody; Homer A Macapinlac Journal: J Nucl Med Date: 2015-07-01 Impact factor: 10.057
Authors: Sara Caceres; Laura Peña; Paloma J de Andres; Maria J Illera; Mirtha S Lopez; Wendy A Woodward; James M Reuben; Juan C Illera Journal: PLoS One Date: 2015-03-25 Impact factor: 3.240
Authors: Ana E Brito; Allan Santos; André Deeke Sasse; Cesar Cabello; Paulo Oliveira; Camila Mosci; Tiago Souza; Barbara Amorim; Mariana Lima; Celso D Ramos; Elba Etchebehere Journal: Oncotarget Date: 2017-05-30
Authors: Naoto T Ueno; Jose Rodrigo Espinosa Fernandez; Massimo Cristofanilli; Beth Overmoyer; Dan Rea; Fedor Berdichevski; Mohamad El-Shinawi; Jennifer Bellon; Huong T Le-Petross; Anthony Lucci; Gildy Babiera; Sarah M DeSnyder; Mediget Teshome; Edward Chang; Bora Lim; Savitri Krishnamurthy; Michael C Stauder; Simrit Parmar; Mona M Mohamed; Angela Alexander; Vicente Valero; Wendy A Woodward Journal: J Cancer Date: 2018-04-06 Impact factor: 4.207