时间标签：数据日期 2026-10-31 · 生成时间 2026-11-01 05:30（Asia/Shanghai）｜ 检索窗口 PubMed edat 2026/10/28–2026/10/31 ｜ 情报发生日期 2026-10-31
研究问题
TRUS is widely used in clinical practice and remains the most common imaging modality due to its cost-effectiveness and accessibility, despite its limitations in accurately distinguishing BPH from prostate cancer.
方法
Images were cropped to isolate the prostate and remove background water artifacts, followed by contrast and brightness adjustments to improve visualization similar to Pathour et al.
核心结论
For comparison, Dice scores of 0.755 were obtained at both 20 and 50 epochs, while performance slightly decreased to 0.748 at 150 epochs, suggesting diminishing returns beyond 100 epochs.；The relatively high recall suggests that the model effectively identifies most stromal tissue regions, though the slightly lower precision indicates a tendency toward mild over-segmentation in challenging or low-contrast regions.；Overall, these findings demonstrate that SAM2 can extract stromal tissue features from ultrasound images despite inherent noise, texture variability, and limited dataset size. ‖ 结论：These findings highlight the potential of deep learning-based models to support noninvasive prostate tissue characterization.
局限
While segmentation performance remains constrained by limited dataset size and specimen heterogeneity, these findings provide a proof-of-concept of using deep learning-based segmentation for stroma detection on ultrasound images.；Nevertheless, this study has several limitations.；The small number of ex-vivo specimens limited the generalizability.
对本项目的价值
★☆☆☆☆ 方法学进展决定我们能否在有限样本下检出真实效应，属基础设施级收益。
全文来源
PMC JATS 全文（正文 13,221 字符，已过标题/DOI 逐字归属校验）
原文题录
- 英文标题：Preliminary Study on Stromal Nodule Detection Using B-Mode Ultrasound Images and Deep Learning.
- 期刊与标识：Proc SPIE Int Soc Opt Eng · PMID 42947740 · DOI 10.1117/12.3085907
B 级证据分级：B 级（同行评议临床前研究，主要为动物模型）
本文核心结论来自动物模型或体外细胞学，属临床前证据，不能外推至人体。「延长健康寿命」「改善功能」等表述在小鼠中的意义，与人类临床结局之间仍有距离。
关于本文的文献来源：本站依据 IMA 知识库「五刊监控·深度文献卡片」撰写，依据已获取的期刊全文（方法、样本量与结论已回到原文核对）；未能获取全文的同批条目另行标注「摘要级」，全程未做任何数值推算补全。