Accuracy of an Automated Bone Scan Index Measurement System Enhanced by Deep Learning of the Female Skeletal Structure in Patients with Breast Cancer.

• Tác giả: Hiromitsu Daisaki, Shohei Fukai, Mitsuru Koizumi, Issei Kuromori, Kazuki Motegi, Naoki Shimada, Kazuaki Takatsu, Takashi Terauchi, Takuro Umeda, Kosuke Yamashita
• Ngôn ngữ: eng
• Ký hiệu phân loại: 297.1248 Sources of Islam
• Thông tin xuất bản: Germany : Nuclear medicine and molecular imaging , 2025
• Bộ sưu tập: NCBI
• ID: 747508

Tóm tắt

PURPOSE: VSBONE METHODS: In total, 220 Japanese patients with breast cancer who underwent bone scintigraphy with single-photon emission computed tomography/computed tomography (SPECT/CT) were retrospectively analyzed. The patients were diagnosed with active bone metastases ( RESULTS: VSBONE ver.2 and VSBONE ver.3 had segmentation errors in four and two patients. Significant positive linear correlations were confirmed in both versions of the BSI ( CONCLUSION: The diagnostic accuracy of VSBONE was improved through deep learning of the female skeletal structures. The updated VSBONE ver.3 can be a reliable automated system for measuring BSI in patients with breast cancer.