scholarly journals Quantification of Bone Metastasis of Castration-resistant Prostate Cancer After Enzalutamide and Abiraterone Acetate Using Bone Scan Index on Bone Scintigraphy

2019 ◽  
Vol 39 (5) ◽  
pp. 2553-2559 ◽  
Author(s):  
SUGURU KADOMOTO ◽  
HIROSHI YAEGASHI ◽  
KAZUFUMI NAKASHIMA ◽  
MASASHI IIJIMA ◽  
SHOHEI KAWAGUCHI ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Bone Metastasis ◽  
Bone Scintigraphy ◽  
Bone Scan ◽  
Abiraterone Acetate ◽  
Castration Resistant Prostate Cancer ◽  
Bone Scan Index ◽  
Castration Resistant

Evaluation of bone metastasis of castration-resistant prostate cancer after enzalutamide and abiraterone using Bone Scan Index on bone scintigraphy.

2017 ◽  
Vol 35 (6_suppl) ◽  
pp. e596-e596
Author(s):  
Suguru Kadomoto ◽  
Kouji Izumi ◽  
Takahiro Nohara ◽  
Konaka Hiroyuki ◽  
Yoshifumi Kadono ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Bone Metastasis ◽  
Bone Metastases ◽  
Bone Scintigraphy ◽  
Bone Scan ◽  
Average Rate ◽  
Castration Resistant Prostate Cancer ◽  
Bone Scan Index ◽  
Castration Resistant ◽  
Better Than

e596 Background: It was ambiguous till now to evaluate the change of bone metastasis by various treatments. To quantify the change of bone metastases by enzalutamide, abiraterone, and docetaxel for the castration-resistant prostate cancer (CRPC) with bone metastases (bmCRPC), we employed Bone Scan Index (BSI) on bone scintigraphy. Methods: We retrospectively evaluated the change of PSA and bone metastases of CRPC patients who were treated with enzalutamide (Enz), abiraterone (Abi) and/or docetaxel (DOC) in our hospital. All patients underwent Tc-99m MDP bone scintigraphy. The degree of bone metastases was analyzed using BSI, which was calculated by BONENAVI (FUJIFILM RI Pharma, Japan; EXINIbone, EXINI Diagnostics, Sweden). 19 patients were treated with enzalutamide (8 cases: pre-docetaxel, 11 cases: post-docetaxel). The median PSA of patients treated with Enz was 12.64 ng/ml (1.63-199 ng/ml). And 11 patients were treated with abiraterone (5 cases: pre-docetaxel, 6 cases: post-docetaxel). The median PSA of patients treated with Abi was 26.37 ng/ml (2.29-199 ng/ml). Results: We observed decline of PSA in 18/30 cases (9 cases: pre-DOC, 9 cases: post-DOC). Decline of PSA to 50% or more was observed in 14 cases. In contrast, decline of BSI was observed in 53.3% (16/30) cases and decline of PSA to 25% or more was observed in only 6 cases. BSI decreased in 84.6% (11/13) of pre-DOC setting and in 29.4% (5/17) of post-DOC setting indicating that change of BSI was poor in post-DOC setting. However, DOC had already decreased BSI in 91.7% (11/12) before Abi or Enz treatment. Moreover, the average rate of BSI decline in the patients that BSI decreased by DOC was better than the patients that BSI decreased by Abi/Enz (-48.46% vs -28.56%). Finally, although the rate of BSI change by Enz was weakly correlated with the rate of PSA decline (y = 0.3906x + 25.35, R2 = 0.3423), BSI continued to increase in four cases in spite of PSA decline. Conclusions: BSI using BONENAVI on bone scintigraphy was helpful for evaluating the effectiveness of treatment and following-up of bmCRPC.

Automated bone scan index as an imaging biomarker in metastatic castration resistant prostate cancer (mCRPC) patients treated with radium-223.

2016 ◽  
Vol 34 (15_suppl) ◽  
pp. e16600-e16600
Author(s):  
Aseem Anand ◽  
Stephanie Daignault ◽  
Luke T. Nordquist ◽  
Jorge Ramos ◽  
Rohit K. Jain ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Bone Scan ◽  
Imaging Biomarker ◽  
Castration Resistant Prostate Cancer ◽  
Bone Scan Index ◽  
Castration Resistant ◽  
Radium 223

Study of the Usefulness of Bone Scan Index Calculated From 99m-Technetium-Hydroxymethylene Diphosphonate (99mtc-HMDP) Bone Scintigraphy for Bone Metastases from Prostate Cancer Using Deep Learning Algorithms

2020 ◽  
Vol 16 ◽  
Author(s):  
Shigeaki Higashiyama ◽  
Atsushi Yoshida ◽  
Joji Kawabe
Keyword(s):  
Prostate Cancer ◽  
Deep Learning ◽  
Bone Metastasis ◽  
Bone Metastases ◽  
Bone Scintigraphy ◽  
Bone Scan ◽  
Learning Algorithms ◽  
Bone Imaging ◽  
Bone Scan Index ◽  
Metabolic Biomarkers

Background: BSI calculated from bone scintigraphy using 99mtechnetium-methylene diphosphonate (99mTc-MDP) is used as a quantitative indicator of metastatic bone involvement in bone metastasis diagnosis, therapeutic effect assessment, and prognosis prediction. However, the BONE NAVI, which calculates BSI, only supports bone scintigraphy using 99mTc-MDP. Aims: We developed a method in collaboration with the Tokyo University of Agriculture and Technology to calculate bone scan index (BSI) employing deep learning algorithms with bone scintigraphy images using 99mtechnetiumhydroxymethylene diphosphonate (99mTc-HMDP). We used a convolutional neural network (CNN) enabling the simultaneous processing of anterior and posterior bone scintigraphy images named CNNapis. Objectives: The purpose of this study is to investigate the usefulness of the BSI calculated by CNNapis as bone imaging and bone metabolic biomarkers in patients with bone metastases from prostate cancer. Methods: At our hospital, 121 bone scintigraphy scans using 99mTc-HMDP were performed and analyzed to examine bone metastases from prostate cancer, revealing the abnormal accumulation of radioisotope (RI) at bone metastasis sites. Blood tests for serum prostate-specific antigen (PSA) and alkaline phosphatase (ALP) were performed concurrently. BSI values calculated by CNNapis were used to quantify the metastatic bone tumor involvement. Correlations between BSI and PSA and between BSI and ALP were calculated. Subjects were divided into four groups by BSI values (Group 1, 0 to <1; Group 2, 1 to <3; Group 3, 3 to <10; Group 4, >10), and the PSA and ALP values in each group were statistically compared. Results: Patients diagnosed with bone metastases after bone scintigraphy were also diagnosed with bone metastases using CNNapis. BSI corresponding to the range of abnormal RI accumulation was calculated. PSA and BSI (r = 0.2791) and ALP and BSI (r = 0.6814) correlated positively. Significant intergroup differences in PSA between Groups 1 and 2, Groups 1 and 4, Groups 2 and 3, and Groups 3 and 4 and in ALP between Groups 1 and 4, Groups 2 and 4, and Groups 3 and 4 were found. Conclusion : BSI calculated using CNNapis correlated with ALP and PSA values and is useful as bone imaging and bone metabolic biomarkers, indicative of the activity and spread of bone metastases from prostate cancer.

Results of a phase II trial of abiraterone acetate (AA) combined with dutasteride (DUT) for men with metastatic castration resistant prostate cancer (mCRPC).

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 126-126
Author(s):  
Rana R. McKay ◽  
Lillian Werner ◽  
Katherine A. Zukotynski ◽  
Liran Domachevsky ◽  
Aymen Elfiky ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Bone Scan ◽  
Specific Antigen ◽  
Abiraterone Acetate ◽  
Type I ◽  
Castration Resistant Prostate Cancer ◽  
Prior Therapy ◽  
Castration Resistant ◽  
Psa Nadir ◽  
Grade 3

126 Background: Although abiraterone acetate (AA), a CYP17 inhibitor, increases survival in men with metastatic castration resistant prostate cancer (mCRPC), tumors eventually progress on therapy. The primary purpose of this study was to identify mechanisms of resistance to AA via analysis of the androgen receptor signaling pathway in serial tumor biopsies of men receiving AA and dutasteride (DUT), a type I and II 5-α reductase inhibitor. In this analysis, we report secondary endpoints including prostate specific antigen (PSA) response, toxicity, and incidence of flare. Methods: We enrolled 40 men with mCRPC. Patients initially received AA (1,000 mg daily) and prednisone (5 mg daily). After two months (mos), DUT (3.5 mg daily) was added. Therapy was continued until radiographic progression. A flare was recorded on bone scan, CT, or both if there were worsening lesions from baseline to 3 mos, decreasing PSA more than 50% from baseline at 3 mos, and stabilization or reduction of lesions at 6 mos. Results: Median follow-up was 13 mos. At the time of analysis, nine men remain on treatment. Twenty five percent and 18% of men received prior therapy with ketoconazole and/or chemotherapy, respectively. The median PSA at baseline was 28.8 ng/mL. After 2 mos of AA, median PSA declined by 54% to 10.9 ng/mL. Median PSA nadir was 6.3 ng/mL, reached at a median of 3.2 mos from baseline. 34 men (85%) experienced some degree of PSA decline. Twenty four men (60%) had a greater than or equal to 50% PSA decline and 12 (30%) had a greater than or equal to 90% PSA decline, reached at a median of 1.4 and 2.4 mos from baseline, respectively. There were 73% grade 1, 23% grade 2, 4% grade 3, and no grade 4 adverse events (AEs).AEs of interest included fatigue (45%), hypertension (38%, n=2 grade 3), hypokalemia (15%, n=0 grade 3), liver function test increases (15%), and edema (2%, n=0 grade 3). Seventeen men had imaging available for analysis, of whom four (23%) had flare on both 3 mos CT and bone scan and four (23%) had flare on only 3 mos CT scan. Conclusions: Given time of median PSA nadir, DUT may enhance efficacy of AA, though this warrants further investigation. Therapy with AA, prednisone (5 mg daily), and DUT is well tolerated with low rates of severe mineralocorticoid toxicity. Flare is seen on imaging in 47% of patients receiving AA. Biopsy data evaluating mechanisms for resistance to AA are not yet available. Clinical trial information: NCT01393730.

scholarly journals Bone Scan Index: A Quantitative Treatment Response Biomarker for Castration-Resistant Metastatic Prostate Cancer

2012 ◽  
Vol 30 (5) ◽  
pp. 519-524 ◽  
Author(s):  
Elizabeth R. Dennis ◽  
Xiaoyu Jia ◽  
Irina S. Mezheritskiy ◽  
Ryan D. Stephenson ◽  
Heiko Schoder ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Bone Scintigraphy ◽  
Bone Scan ◽  
Metastatic Prostate Cancer ◽  
Univariate Analysis ◽  
Imaging Biomarker ◽  
Bone Scan Index ◽  
Risk Of Death ◽  
Percent Change ◽  
Castration Resistant

Purpose There is currently no imaging biomarker for metastatic prostate cancer. The bone scan index (BSI) is a promising candidate, being a reproducible, quantitative expression of tumor burden seen on bone scintigraphy. Prior studies have shown the prognostic value of a baseline BSI. This study tested whether treatment-related changes in BSI are prognostic for survival and compared BSI to prostate-specific antigen (PSA) as an outcome measure. Patients and Methods We retrospectively examined serial bone scans from patients with castration-resistant metastatic prostate cancer (CRMPC) enrolled in four clinical trials. We calculated BSI at baseline and at 3 and 6 months on treatment and performed univariate and bivariate analyses of PSA, BSI, and survival. Results Eighty-eight patients were scanned, 81 of whom have died. In the univariate analysis, the log percent change in BSI from baseline to 3 and 6 months on treatment prognosticated for survival (hazard ratio [HR], 2.44; P = .0089 and HR, 2.54; P < .001, respectively). A doubling in BSI resulted in a 1.9-fold increase in risk of death. Log percent change in PSA at 6 months on treatment was also associated with survival (HR, 1.298; P = .013). In the bivariate analysis, change in BSI while adjusting for PSA was prognostic at 3 and 6 months on treatment (HR, 2.368; P = .012 and HR, 2.226; P = .002, respectively), but while adjusting for BSI, PSA was not prognostic. Conclusion These data furnish early evidence that on-treatment changes in BSI are a response indicator and support further exploration of bone scintigraphy as an imaging biomarker in CRMPC.

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