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
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
复制标题
DOI:
10.2174/1573405616666200528153453
复制
发表时间:
2021-01-01
影响因子:
1.4
通讯作者:
Kawabe, Joji
中科院分区:
文献类型:
--
作者:
Higashiyama, Shigeaki;Yoshida, Atsushi;Kawabe, Joji
Background: BSI calculated from bone scintigraphy using (99m)technetium-methylene diphosphonate (Tc-99m-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 Tc-99m-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 (99m)Technetium-hydroxymethylene diphosphonate (Tc-99m-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 CN-Napis as bone imaging and bone metabolic biomarkers in patients with bone metastases from prostate cancer.Methods: At our hospital, 121 bone scintigraphy scans using Tc-99m-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