UNLABELLED: What's known on the subject? and What does the study add? A bone scan index (BSI) can quantify the extent of bone involvement and response to treatment, but it has not been widely accepted, because of its time-consuming nature. The study is the first to demonstrate that automated BSI calculated with a computer-assisted diagnosis system is effective in judging the chemotherapeutic response of bone metastatic lesions in patients with castration-resistant prostate cancer. OBJECTIVE: • To evaluate the value of an automated bone scan index (aBSI), calculated using a computer-assisted diagnosis system, to indicate chemotherapy response and to predict prognosis in patients with castration-resistant prostate cancer (CRPC) with bone metastasis. PATIENTS AND METHODS: • Forty-two consecutive CRPC patients underwent taxane-based chemotherapy between November 2004 and March 2011 at our institution. • The aBSIs were retrospectively calculated at the diagnosis of CRPC and 16 weeks after starting chemotherapy. • Cox proportional hazards regression models were applied to multivariate analyses with and without aBSI response in addition to the basic model. • Based on the difference in the concordance index (c-index) between each model, the prognostic relevance of adding the aBSI response was determined. RESULTS: • A decrease in aBSI was found in 28 patients (66.7%), whereas a response was shown by bone scan in only 23.8% of patients. • Patients with a reduction in aBSI had longer overall survival (OS) in comparison with the other patients (P= 0.0157). • Multivariate analysis without aBSI response showed that performance status (P= 0.0182) and PSA response (P= 0.0375) were significant prognosticators. • By adding the aBSI response to this basic model, the prognostic relevance of the model was improved with an increase in the c-index from 0.621 to 0.660. CONCLUSIONS: • The aBSI reflected the chemotherapy response in bone metastasis. • The index detected small changes of bone metastasis response as quantified values and was a strong prognostic indicator for patients with CRPC.
UNLABELLED: What's known on the subject? and What does the study add? A bone scan index (BSI) can quantify the extent of bone involvement and response to treatment, but it has not been widely accepted, because of its time-consuming nature. The study is the first to demonstrate that automated BSI calculated with a computer-assisted diagnosis system is effective in judging the chemotherapeutic response of bone metastatic lesions in patients with castration-resistant prostate cancer. OBJECTIVE: • To evaluate the value of an automated bone scan index (aBSI), calculated using a computer-assisted diagnosis system, to indicate chemotherapy response and to predict prognosis in patients with castration-resistant prostate cancer (CRPC) with bone metastasis. PATIENTS AND METHODS: • Forty-two consecutive CRPC patients underwent taxane-based chemotherapy between November 2004 and March 2011 at our institution. • The aBSIs were retrospectively calculated at the diagnosis of CRPC and 16 weeks after starting chemotherapy. • Cox proportional hazards regression models were applied to multivariate analyses with and without aBSI response in addition to the basic model. • Based on the difference in the concordance index (c-index) between each model, the prognostic relevance of adding the aBSI response was determined. RESULTS: • A decrease in aBSI was found in 28 patients (66.7%), whereas a response was shown by bone scan in only 23.8% of patients. • Patients with a reduction in aBSI had longer overall survival (OS) in comparison with the other patients (P= 0.0157). • Multivariate analysis without aBSI response showed that performance status (P= 0.0182) and PSA response (P= 0.0375) were significant prognosticators. • By adding the aBSI response to this basic model, the prognostic relevance of the model was improved with an increase in the c-index from 0.621 to 0.660. CONCLUSIONS: • The aBSI reflected the chemotherapy response in bone metastasis. • The index detected small changes of bone metastasis response as quantified values and was a strong prognostic indicator for patients with CRPC.
Authors: Andrew J Armstrong; Aseem Anand; Lars Edenbrandt; Eva Bondesson; Anders Bjartell; Anders Widmark; Cora N Sternberg; Roberto Pili; Helen Tuvesson; Örjan Nordle; Michael A Carducci; Michael J Morris Journal: JAMA Oncol Date: 2018-07-01 Impact factor: 31.777
Authors: Ali H D Alshehri; Sarah O S Osman; Kevin M Prise; Caoimhghin Campfield; P G Turner; Suneil Frcr PhD Jain; Joe M O'Sullivan; Aidan J Cole Journal: Br J Radiol Date: 2020-09-03 Impact factor: 3.039
Authors: Andrew J Armstrong; Reza Kaboteh; Michael A Carducci; Jan-Erik Damber; Walter M Stadler; Mats Hansen; Lars Edenbrandt; Göran Forsberg; Örjan Nordle; Roberto Pili; Michael J Morris Journal: Urol Oncol Date: 2014-09-16 Impact factor: 3.498
Authors: Aseem Anand; Michael J Morris; Steven M Larson; David Minarik; Andreas Josefsson; John T Helgstrand; Peter S Oturai; Lars Edenbrandt; Martin Andreas Røder; Anders Bjartell Journal: EJNMMI Res Date: 2016-03-09 Impact factor: 3.138
Authors: Reza Kaboteh; Jan-Erik Damber; Peter Gjertsson; Peter Höglund; Milan Lomsky; Mattias Ohlsson; Lars Edenbrandt Journal: EJNMMI Res Date: 2013-02-06 Impact factor: 3.138