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检测下限 - 版本历史
2026-04-18T07:14:09Z
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2026年1月29日 (四) 00:10 77921020
2026-01-29T00:10:00Z
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">←上一版本</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2026年1月29日 (四) 00:10的版本</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l38" >第38行：</td>
<td colspan="2" class="diff-lineno">第38行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <tr></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <tr></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <th style="text-align: left; padding: 6px 12px; background-color: #f8fafc; color: #475569; border-bottom: 1px solid #e2e8f0;">计算公式</th></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <th style="text-align: left; padding: 6px 12px; background-color: #f8fafc; color: #475569; border-bottom: 1px solid #e2e8f0;">计算公式</th></div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> <td style="padding: 6px 12px; border-bottom: 1px solid #e2e8f0; color: #0f172a;">3.3 × (<del class="diffchange diffchange-inline">SD </del>/ <del class="diffchange diffchange-inline">Slope</del>)</td></div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> <td style="padding: 6px 12px; border-bottom: 1px solid #e2e8f0; color: #0f172a;">3.3 × (<ins class="diffchange diffchange-inline">σ </ins>/ <ins class="diffchange diffchange-inline">S</ins>)</td></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> </tr></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> </tr></div></td></tr>
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<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l89" >第89行：</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <tr></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <tr></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <td style="padding: 10px; border: 1px solid #cbd5e1; font-weight: 600;">计算公式 (ICH)</td></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <td style="padding: 10px; border: 1px solid #cbd5e1; font-weight: 600;">计算公式 (ICH)</td></div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> <td style="padding: 10px; border: 1px solid #cbd5e1;"><del class="diffchange diffchange-inline">$</del>3.3 <del class="diffchange diffchange-inline">\times \sigma </del>/ S<del class="diffchange diffchange-inline">$</del></td></div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> <td style="padding: 10px; border: 1px solid #cbd5e1;">3.3 <ins class="diffchange diffchange-inline">× (σ </ins>/ S<ins class="diffchange diffchange-inline">)</ins></td></div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> <td style="padding: 10px; border: 1px solid #cbd5e1;"><del class="diffchange diffchange-inline">$</del>10 <del class="diffchange diffchange-inline">\times \sigma </del>/ S<del class="diffchange diffchange-inline">$</del></td></div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> <td style="padding: 10px; border: 1px solid #cbd5e1;">10 <ins class="diffchange diffchange-inline">× (σ </ins>/ S<ins class="diffchange diffchange-inline">)</ins></td></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> </tr></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> </tr></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <tr></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <tr></div></td></tr>
<tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l106" >第106行：</td>
<td colspan="2" class="diff-lineno">第106行：</td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <p style="margin-bottom: 0; text-align: justify; font-size: 0.95em; color: #334155;"></div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <p style="margin-bottom: 0; text-align: justify; font-size: 0.95em; color: #334155;"></div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> 在 ctDNA 检测中，LOD 是决定技术成败的关键：</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> 在 ctDNA 检测中，LOD 是决定技术成败的关键：</div></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> <br>1. <strong>早筛：</strong> 早期肿瘤释放到血液中的 DNA 极少（AF <del class="diffchange diffchange-inline">< </del>0.1%），需要极低 LOD 的技术（如 NGS 加 UMI 分子条码）才能避免漏诊。</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div> <br>1. <strong>早筛：</strong> 早期肿瘤释放到血液中的 DNA 极少（AF <ins class="diffchange diffchange-inline">&lt; </ins>0.1%），需要极低 LOD 的技术（如 NGS 加 UMI 分子条码）才能避免漏诊。</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <br>2. <strong>微小残留病灶 (MRD)：</strong> 术后监测需要检测痕量肿瘤细胞，LOD 越低，发现复发的时间越早。目前顶级技术的 LOD 可达 0.01% 甚至更低。</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div> <br>2. <strong>微小残留病灶 (MRD)：</strong> 术后监测需要检测痕量肿瘤细胞，LOD 越低，发现复发的时间越早。目前顶级技术的 LOD 可达 0.01% 甚至更低。</div></td></tr>
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77921020
https://www.yiliao.com/index.php?title=%E6%A3%80%E6%B5%8B%E4%B8%8B%E9%99%90&diff=316126&oldid=prev
77921020：建立内容为“<div style="padding: 0 4%; line-height: 1.8; color: #1e293b; font-family: 'Helvetica Neue', Helvetica, 'PingFang SC', Arial, sans-serif; background-color: #ffffff…”的新页面
2026-01-29T00:02:36Z
<p>建立内容为“<div style="padding: 0 4%; line-height: 1.8; color: #1e293b; font-family: 'Helvetica Neue', Helvetica, 'PingFang SC', Arial, sans-serif; background-color: #ffffff…”的新页面</p>
<p><b>新页面</b></p><div><div style="padding: 0 4%; line-height: 1.8; color: #1e293b; font-family: 'Helvetica Neue', Helvetica, 'PingFang SC', Arial, sans-serif; background-color: #ffffff; max-width: 1200px; margin: auto;"><br />
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<strong>检测下限</strong>（Limit of Detection，简称 <strong>LOD</strong>），又称最低检测限，是指在规定的实验条件下，分析方法能够从背景噪音中以一定置信度（通常为 95% 或 99%）区分出的被测物的<strong>最低浓度</strong>或量。LOD 是定性检测的阈值（即回答“有还是无”），不同于<strong>定量下限 (LOQ)</strong>，后者要求测定值必须达到一定的准确度和精密度。在肿瘤<strong>液体活检</strong>（如 ctDNA 检测）和传染病核酸检测中，LOD 是衡量试剂盒灵敏度最关键的“硬指标”。<br />
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<div style="font-size: 1.2em; font-weight: bold; letter-spacing: 1.2px;">检测下限</div><br />
<div style="font-size: 0.7em; opacity: 0.85; margin-top: 4px; white-space: nowrap;">Limit of Detection (LOD) (点击展开)</div><br />
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<div style="font-size: 0.8em; color: #64748b; margin-top: 12px; font-weight: 600;">原理：从噪音中识别信号</div><br />
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<th colspan="2" style="padding: 8px 12px; background-color: #e0f2fe; color: #1e40af; text-align: left; font-size: 0.9em; border-top: 1px solid #bae6fd;">参数特征</th><br />
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<th style="text-align: left; padding: 6px 12px; background-color: #f8fafc; color: #475569; border-bottom: 1px solid #e2e8f0; width: 45%;">缩写</th><br />
<td style="padding: 6px 12px; border-bottom: 1px solid #e2e8f0; color: #0f172a;">LOD / DL</td><br />
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<th style="text-align: left; padding: 6px 12px; background-color: #f8fafc; color: #475569; border-bottom: 1px solid #e2e8f0;">核心定义</th><br />
<td style="padding: 6px 12px; border-bottom: 1px solid #e2e8f0; color: #1e40af;"><strong>定性</strong>阈值 (Qualitative)</td><br />
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<th style="text-align: left; padding: 6px 12px; background-color: #f8fafc; color: #475569; border-bottom: 1px solid #e2e8f0;">信噪比 (S/N)</th><br />
<td style="padding: 6px 12px; border-bottom: 1px solid #e2e8f0; color: #b91c1c;">通常 ≥ 3:1</td><br />
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<th style="text-align: left; padding: 6px 12px; background-color: #f8fafc; color: #475569; border-bottom: 1px solid #e2e8f0;">计算公式</th><br />
<td style="padding: 6px 12px; border-bottom: 1px solid #e2e8f0; color: #0f172a;">3.3 × (SD / Slope)</td><br />
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<th style="text-align: left; padding: 6px 12px; background-color: #f8fafc; color: #475569;">临床意义</th><br />
<td style="padding: 6px 12px; color: #16a34a;">避免假阴性 (False Negative)</td><br />
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<h2 style="background: #f1f5f9; color: #0f172a; padding: 10px 18px; border-radius: 0 6px 6px 0; font-size: 1.25em; margin-top: 40px; border-left: 6px solid #0f172a; font-weight: bold;">统计学原理：信噪比的博弈</h2><br />
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LOD 的确定本质上是一个统计学过程，旨在解决“信号是否真实存在”的问题：<br />
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<li style="margin-bottom: 12px;"><strong>空白标准差 (σ)：</strong> <br />
<br>首先测定多次（通常 20 次）空白样本（Blank），计算背景噪音的标准差。LOD 必须显著高于这个背景波动。<br />
<br><em>经验公式：</em> <strong>LOD = 空白均值 + 3 × 空白标准差</strong> (3σ 原则)。</li><br />
<li style="margin-bottom: 12px;"><strong>信噪比 (S/N)：</strong> <br />
<br>在色谱分析中，LOD 通常定义为信噪比（Signal-to-Noise Ratio）达到 <strong>3:1</strong> 时的浓度。这意味着信号强度是背景噪音的 3 倍，此时误判的概率极低。</li><br />
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<h2 style="background: #f1f5f9; color: #0f172a; padding: 10px 18px; border-radius: 0 6px 6px 0; font-size: 1.25em; margin-top: 40px; border-left: 6px solid #0f172a; font-weight: bold;">核心辨析：LOD vs LOQ</h2><br />
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<strong>常见误区：</strong> 许多人混淆了“能检测到”和“能测准”。LOD 仅代表能看到信号（定性），而 LOQ 代表能准确算出数值（定量）。<br />
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<th style="padding: 12px; border: 1px solid #cbd5e1; color: #0f172a; width: 25%;">参数</th><br />
<th style="padding: 12px; border: 1px solid #cbd5e1; color: #1e40af; width: 35%;">检测下限 (LOD)</th><br />
<th style="padding: 12px; border: 1px solid #cbd5e1; color: #475569;">定量下限 (LOQ)</th><br />
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<td style="padding: 10px; border: 1px solid #cbd5e1; font-weight: 600;">定义</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;">能被检出的最低浓度</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;">能被<strong>准确测定</strong>的最低浓度</td><br />
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<td style="padding: 10px; border: 1px solid #cbd5e1; font-weight: 600;">信噪比要求</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;">S/N ≥ 3</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;">S/N ≥ 10</td><br />
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<td style="padding: 10px; border: 1px solid #cbd5e1; font-weight: 600;">计算公式 (ICH)</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;">$3.3 \times \sigma / S$</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;">$10 \times \sigma / S$</td><br />
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<td style="padding: 10px; border: 1px solid #cbd5e1; font-weight: 600;">结果报告</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;">阳性 / 阴性</td><br />
<td style="padding: 10px; border: 1px solid #cbd5e1;">具体的数值 (如 50 copies/mL)</td><br />
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<h3 style="margin-top: 0; color: #1e40af; font-size: 1.1em;">液体活检 (Liquid Biopsy)</h3><br />
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在 ctDNA 检测中，LOD 是决定技术成败的关键：<br />
<br>1. <strong>早筛：</strong> 早期肿瘤释放到血液中的 DNA 极少（AF < 0.1%），需要极低 LOD 的技术（如 NGS 加 UMI 分子条码）才能避免漏诊。<br />
<br>2. <strong>微小残留病灶 (MRD)：</strong> 术后监测需要检测痕量肿瘤细胞，LOD 越低，发现复发的时间越早。目前顶级技术的 LOD 可达 0.01% 甚至更低。<br />
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<span style="color: #0f172a; font-weight: bold; font-size: 1.05em; display: inline-block; margin-bottom: 15px;">学术参考文献 [Academic Review]</span><br />
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[1] <strong>ICH Expert Working Group. (2005).</strong> <em>Validation of Analytical Procedures: Text and Methodology Q2(R1).</em> <strong>[[ICH Guidelines]]</strong>. <br><br />
<span style="color: #475569;">[点评]：药物分析领域的金标准指南，定义了全球通用的 LOD 和 LOQ 计算方法。</span><br />
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[2] <strong>Armbruster DA, et al. (2008).</strong> <em>Limit of blank, limit of detection and limit of quantitation.</em> <strong>[[The Clinical Biochemist Reviews]]</strong>. <br><br />
<span style="color: #475569;">[点评]：临床检验领域的经典综述，详细区分了 LOB、LOD 和 LOQ 在医学诊断中的实际应用。</span><br />
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分析化学 · 知识图谱<br />
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<td style="width: 85px; background-color: #f8fafc; color: #334155; font-weight: 600; padding: 10px 12px; text-align: right; vertical-align: middle;">相关参数</td><br />
<td style="padding: 10px 15px; color: #334155;">[[定量下限]] (LOQ) • [[灵敏度]] (Sensitivity) • [[特异性]] (Specificity)</td><br />
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<td style="width: 85px; background-color: #f8fafc; color: #334155; font-weight: 600; padding: 10px 12px; text-align: right; vertical-align: middle;">应用技术</td><br />
<td style="padding: 10px 15px; color: #334155;">[[PCR]] • [[ELISA]] • [[NGS]] • [[质谱]] (LC-MS)</td><br />
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<td style="width: 85px; background-color: #f8fafc; color: #334155; font-weight: 600; padding: 10px 12px; text-align: right; vertical-align: middle;">法规标准</td><br />
<td style="padding: 10px 15px; color: #334155;">[[ICH Q2]] • [[CLSI]] • [[方法学验证]]</td><br />
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