Affiliation:
1. Department of Nuclear Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
Abstract
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 99mtechnetium-hydroxymethylene 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.
Funder
Nihon Medi-Physics Co., Ltd.
Publisher
Bentham Science Publishers Ltd.
Subject
Radiology Nuclear Medicine and imaging
Cited by
6 articles.
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