J Lewin1, L Sayers2, D Kee3, I Walpole3, A Sanelli3, L Te Marvelde4, A Herschtal4, J Spillane5, D Gyorki6, D Speakman5, V Estall7, S Donahoe5, M Pohl5, K Pope7, M Chua7, S Sandhu3, G A McArthur8, C J McCormack9, M Henderson6, R J Hicks10, M Shackleton11. 1. Department of Cancer Medicine, Peter MacCallum Cancer Centre, Victoria, Australia; Princess Margaret Cancer Centre, Toronto, Canada. 2. Cancer Treatment and Development Laboratory, Peter MacCallum Cancer Centre, Victoria, Australia. 3. Department of Cancer Medicine, Peter MacCallum Cancer Centre, Victoria, Australia. 4. Centre for Biostatistics and Clinical Trials, Peter MacCallum Cancer Centre, Victoria, Australia. 5. Department of Surgery, Peter MacCallum Cancer Centre, Victoria, Australia. 6. Department of Surgery, Peter MacCallum Cancer Centre, Victoria, Australia; Department of Surgery, St Vincent's Hospital, Victoria, Australia. 7. Department of Radiation Oncology, Peter MacCallum Cancer Centre, Victoria, Australia. 8. Department of Cancer Medicine, Peter MacCallum Cancer Centre, Victoria, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria, Australia. 9. Department of Dermatology, Peter MacCallum Cancer Centre, Victoria, Australia. 10. Department of Surgery, St Vincent's Hospital, Victoria, Australia; Department of Cancer Imaging, Peter MacCallum Cancer Centre, Victoria, Australia. 11. Department of Cancer Medicine, Peter MacCallum Cancer Centre, Victoria, Australia; Cancer Treatment and Development Laboratory, Peter MacCallum Cancer Centre, Victoria, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Victoria, Australia; Department of Pathology, The University of Melbourne, Victoria, Australia; Department of Oncology, Alfred Health, Victoria, Australia; Central Clinical School, Faculty of Medicine, Nursing and Allied Health, Monash University, Victoria, Australia. Electronic address: mark.shackleton@monash.edu.
Abstract
Background: As early detection of recurrent melanoma maximizes treatment options, patients usually undergo post-operative imaging surveillance, increasingly with FDG-PET/CT (PET). To assess this, we evaluated stage 3 melanoma patients who underwent prospectively applied and sub-stage-specific schedules of PET surveillance. Patients and methods: From 2009, patients with stage 3 melanoma routinely underwent PET +/- MRI brain scans via defined schedules based on sub-stage-specific relapse probabilities. Data were collected regarding patient characteristics and outcomes. Contingency analyses were carried out of imaging outcomes. Results: One hundred and seventy patients (stage 3A: 34; 3B: 93; 3C: 43) underwent radiological surveillance. Relapses were identified in 65 (38%) patients, of which 45 (69%) were asymptomatic. False-positive imaging findings occurred in 7%, and 6% had treatable second (non-melanoma) malignancies. Positive predictive values (PPV) of individual scans were 56%-83%. Negative scans had predictive values of 89%-96% for true non-recurrence [negative predictive values (NPV)] until the next scan. A negative PET at 18 months had NPVs of 80%-84% for true non-recurrence at any time in the 47-month (median) follow-up period. Sensitivity and specificity of the overall approach of sub-stage-specific PET surveillance were 70% and 87%, respectively. Of relapsed patients, 33 (52%) underwent potentially curative resection and 10 (16%) remained disease-free after 24 months (median). Conclusions: Application of sub-stage-specific PET in stage 3 melanoma enables asymptomatic detection of most recurrences, has high NPVs that may provide patient reassurance, and is associated with a high rate of detection of resectable and potentially curable disease at relapse.
Background: As early detection of recurrent melanoma maximizes treatment options, patients usually undergo post-operative imaging surveillance, increasingly with FDG-PET/CT (PET). To assess this, we evaluated stage 3 melanomapatients who underwent prospectively applied and sub-stage-specific schedules of PET surveillance. Patients and methods: From 2009, patients with stage 3 melanoma routinely underwent PET +/- MRI brain scans via defined schedules based on sub-stage-specific relapse probabilities. Data were collected regarding patient characteristics and outcomes. Contingency analyses were carried out of imaging outcomes. Results: One hundred and seventy patients (stage 3A: 34; 3B: 93; 3C: 43) underwent radiological surveillance. Relapses were identified in 65 (38%) patients, of which 45 (69%) were asymptomatic. False-positive imaging findings occurred in 7%, and 6% had treatable second (non-melanoma) malignancies. Positive predictive values (PPV) of individual scans were 56%-83%. Negative scans had predictive values of 89%-96% for true non-recurrence [negative predictive values (NPV)] until the next scan. A negative PET at 18 months had NPVs of 80%-84% for true non-recurrence at any time in the 47-month (median) follow-up period. Sensitivity and specificity of the overall approach of sub-stage-specific PET surveillance were 70% and 87%, respectively. Of relapsed patients, 33 (52%) underwent potentially curative resection and 10 (16%) remained disease-free after 24 months (median). Conclusions: Application of sub-stage-specific PET in stage 3 melanoma enables asymptomatic detection of most recurrences, has high NPVs that may provide patient reassurance, and is associated with a high rate of detection of resectable and potentially curable disease at relapse.
Authors: Martine Bloemendal; Wouter W van Willigen; Kalijn F Bol; Marye J Boers-Sonderen; Johannes J Bonenkamp; J E M Werner; Erik H J G Aarntzen; Rutger H T Koornstra; Jan Willem B de Groot; I Jolanda M de Vries; Jacobus J M van der Hoeven; Winald R Gerritsen; Johannes H W de Wilt Journal: Ann Surg Oncol Date: 2019-03-04 Impact factor: 5.344
Authors: Annie Wong; Jason Callahan; Marleen Keyaerts; Bart Neyns; Johanna Mangana; Susanne Aberle; Alan Herschtal; Sonia Fullerton; Donna Milne; Amir Iravani; Grant A McArthur; Rodney J Hicks Journal: Cancer Imaging Date: 2020-05-14 Impact factor: 3.909
Authors: Eric A Deckers; Kevin P Wevers; Anneke C Muller Kobold; Samantha Damude; Otis M Vrielink; Robert J van Ginkel; Lukas B Been; Barbara L van Leeuwen; Harald J Hoekstra; Schelto Kruijff Journal: J Surg Oncol Date: 2019-08-29 Impact factor: 3.454