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

IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Nuclear Medicine and Molecular Imaging Pub Date : 2025-06-01 Epub Date: 2025-01-13 DOI:10.1007/s13139-025-00905-5

Shohei Fukai, Hiromitsu Daisaki, Kosuke Yamashita, Issei Kuromori, Kazuki Motegi, Takuro Umeda, Naoki Shimada, Kazuaki Takatsu, Takashi Terauchi, Mitsuru Koizumi

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引用次数: 0

Abstract

Purpose: VSBONE^® BSI (VSBONE), an automated bone scan index (BSI) measurement system was updated from version 2.1 (ver.2) to 3.0 (ver.3). VSBONE ver.3 incorporates deep learning of the skeletal structures of 957 new women, and it can be applied in patients with breast cancer. However, the performance of the updated VSBONE remains unclear. This study aimed to validate the diagnostic accuracy of the VSBONE system in patients with breast cancer.

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 (n = 20) and non-bone metastases (n = 200) according to the physician's radiographic image interpretation. The patients were assessed using the VSBONE ver.2 and VSBONE ver.3, and the BSI findings were compared with the interpretation results by the physicians. The occurrence of segmentation errors, the association of BSI between VSBONE ver.2 and VSBONE ver.3, and the diagnostic accuracy of the systems were evaluated.

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 (r = 0.92). The diagnostic accuracy was 54.1% in VSBOBE ver.2, and 80.5% in VSBONE ver.3 (P < 0.001), respectively.

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.

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基于女性乳腺癌患者骨骼结构深度学习的自动骨扫描指数测量系统的准确性

目的：VSBONE®BSI （VSBONE）是一种自动骨扫描指数（BSI）测量系统，从2.1版本（版本2）更新到3.0版本（版本3）。VSBONE版本。3纳入了对957名新女性骨骼结构的深度学习，可应用于乳腺癌患者。但是，更新后的VSBONE的性能仍然不清楚。本研究旨在验证VSBONE系统对乳腺癌患者的诊断准确性。方法：回顾性分析220例接受单光子发射计算机断层扫描/计算机断层扫描（SPECT/CT）的日本乳腺癌患者。根据医生的x线图像解释，诊断为活动性骨转移（n = 20）和非骨转移（n = 200）。采用VSBONE评分法对患者进行评估。2和VSBONE版本。3、将BSI结果与医师的解释结果进行比较。出现分段错误时，BSI与VSBONE之间存在关联。2和VSBONE版本。3，对系统的诊断精度进行了评价。结果：VSBONE版本。2和VSBONE版本。分割错误3例，4例，2例。两种版本的BSI均证实了显著的正线性相关（r = 0.92）。VSBOBE的诊断准确率为54.1%。在VSBONE版本中，这一比例为80.5%结论：通过对女性骨骼结构的深度学习，提高了VSBONE的诊断准确性。更新后的VSBONE版本。3可以是一个可靠的自动化系统，用于测量乳腺癌患者的BSI。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nuclear Medicine and Molecular Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

2.20

自引率

7.70%

发文量

期刊介绍： Nuclear Medicine and Molecular Imaging (Nucl Med Mol Imaging) is an official journal of the Korean Society of Nuclear Medicine, which bimonthly publishes papers on February, April, June, August, October, and December about nuclear medicine and related sciences such as radiochemistry, radiopharmacy, dosimetry and pharmacokinetics / pharmacodynamics of radiopharmaceuticals, nuclear and molecular imaging analysis, nuclear and molecular imaging instrumentation, radiation biology and radionuclide therapy. The journal specially welcomes works of artificial intelligence applied to nuclear medicine. The journal will also welcome original works relating to molecular imaging research such as the development of molecular imaging probes, reporter imaging assays, imaging cell trafficking, imaging endo(exo)genous gene expression, and imaging signal transduction. Nucl Med Mol Imaging publishes the following types of papers: original articles, reviews, case reports, editorials, interesting images, and letters to the editor. The Korean Society of Nuclear Medicine (KSNM) KSNM is a scientific and professional organization founded in 1961 and a member of the Korean Academy of Medical Sciences of the Korean Medical Association which was established by The Medical Services Law. The aims of KSNM are the promotion of nuclear medicine and cooperation of each member. The business of KSNM includes holding academic meetings and symposia, the publication of journals and books, planning and research of promoting science and health, and training and qualification of nuclear medicine specialists.