Sir,68 Gallium-prostate-specific membrane antigen (68Ga-PSMA) positron emission tomography–computed tomography (PET-CT) has been shown to be a highly sensitive and specific technique for imaging prostate cancer in the last few years. While there are multitudes of studies showing superiority of 68Ga-PSMA PET-CT over presently recommended standard conventional imaging (contrast CT of the chest, abdomen, and pelvis plus bone scan) for staging of high-risk prostate cancer, the scientific level of evidence remains low. Many of these studies are retrospective, few are multicenter, and none randomized.[1] In fact, the latest National Comprehensive Cancer Network (NCCN) guidelines in prostate cancer (version 2. 2020) still recommend the use of CT plus bone scan for staging high-risk prostate cancer.[2] The use of PET-CT is recommended only in certain circumstances, that too11 C-choline and18 F-fluciclovine PET-CT, both of which have been shown to be inferior to 68Ga-PSMA PET-CT.[34] Fortunately, this is likely to change after a recent landmark randomized trial by Hofman et al., published in Lancet.[5]This prostate-specific membrane antigen PET-CT in patients with high-risk prostate cancer before curative-intent surgery or radiotherapy (proPSMA) study was a prospective, multicenter, two-armed, randomized trial with crossover,[6] where the primary outcome was accuracy of first-line imaging (68Ga-PSMA-111 PET-CT versus conventional imaging with CT plus bone scan with single-photon emission computerized tomography [SPECT]-CT) for detection of pelvic nodal and distant site of metastasis. Total 302 patients with high-risk prostate cancer were randomized into conventional imaging (n = 152) and 68Ga-PSMA PET-CT (n = 150) arms. 68Ga-PSMA PET-CT showed significantly higher accuracy (92% vs. 65%, P < 0.0001), sensitivity (85% vs. 38%), and specificity (98% vs. 91%). In subgroup analysis, 68Ga-PSMA PET-CT was superior to conventional imaging for detecting pelvic nodal (91% vs. 59%) and distant metastasis (95% vs. 74%). It was also seen that 68Ga-PSMA PET-CT conferred significantly more management changes than conventional imaging (41% vs. 23%, P = 0.008). Two additional significant findings were less equivocal lesions (7% vs. 23%) and lower radiation dose (8.4 mSv vs. 19.2 mSv, P < 0.001) with 68Ga-PSMA PET-CT than conventional imaging. The latter was because of universal use of SPECT-CT for bone scan in this study, which leads to raised radiation burden in conventional imaging arm[7] but, at the same time, made it more comparable. The authors concluded 68Ga-PSMA PET-CT to be a suitable replacement for current standard of care conventional imaging with superior accuracy in staging high-risk prostate cancer. This high-quality Category 1 evidence will definitely be reflected in NCCN guidelines for prostate cancer when they are modified or updated next.Another, in my opinion more important, lesson to be learned from this study is that nuclear medicine physicians should come to the forefront and start generating high-quality evidence with randomized trials in imaging rather than waiting for our oncology colleagues to do the same. While the traditional, single-center, retrospective, and prospective studies routinely performed by us do provide important and significant scientific information, they fall short as a level of evidence when framing management guidelines. It is time that our observations in reporting rooms become part of general clinical discourse, with the help of well-thought-out, simple, and meticulously performed multicenter randomized trials. Indian nuclear medicine community, with its advanced molecular imaging resources and huge patient load, can lead the path, probably in liaison with national societies. I hope that this study by Hofman et al.[5] is a beginning that inspires and not just an aberration.
Authors: Michael S Hofman; Declan G Murphy; Scott G Williams; Tatenda Nzenza; Alan Herschtal; Richard De Abreu Lourenco; Dale L Bailey; Ray Budd; Rodney J Hicks; Roslyn J Francis; Nathan Lawrentschuk Journal: BJU Int Date: 2018-06-03 Impact factor: 5.588
Authors: Cordula A Jilg; Vanessa Drendel; H Christian Rischke; Teresa I Beck; Kathrin Reichel; Malte Krönig; Ulrich Wetterauer; Wolfgang Schultze-Seemann; Philipp T Meyer; Werner Vach Journal: J Nucl Med Date: 2019-01-25 Impact factor: 10.057
Authors: Jeremie Calais; Francesco Ceci; Matthias Eiber; Thomas A Hope; Michael S Hofman; Christoph Rischpler; Tore Bach-Gansmo; Cristina Nanni; Bital Savir-Baruch; David Elashoff; Tristan Grogan; Magnus Dahlbom; Roger Slavik; Jeannine Gartmann; Kathleen Nguyen; Vincent Lok; Hossein Jadvar; Amar U Kishan; Matthew B Rettig; Robert E Reiter; Wolfgang P Fendler; Johannes Czernin Journal: Lancet Oncol Date: 2019-07-30 Impact factor: 41.316
Authors: Michael S Hofman; Nathan Lawrentschuk; Roslyn J Francis; Colin Tang; Ian Vela; Paul Thomas; Natalie Rutherford; Jarad M Martin; Mark Frydenberg; Ramdave Shakher; Lih-Ming Wong; Kim Taubman; Sze Ting Lee; Edward Hsiao; Paul Roach; Michelle Nottage; Ian Kirkwood; Dickon Hayne; Emma Link; Petra Marusic; Anetta Matera; Alan Herschtal; Amir Iravani; Rodney J Hicks; Scott Williams; Declan G Murphy Journal: Lancet Date: 2020-03-22 Impact factor: 79.321