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通过呼吸实现前列腺癌可靠诊断。

Towards reliable diagnostics of prostate cancer via breath.

机构信息

Lehrstuhl für Experimental Physik, Ludwig-Maximilians-Universität München, Am Coulombwall 1, 85748, Garching, Germany.

Max-Planck-Institut für Quantenoptik, Hans-Kopfermann-Strasse 1, 85748, Garching, Germany.

出版信息

Sci Rep. 2021 Sep 15;11(1):18381. doi: 10.1038/s41598-021-96845-z.

Abstract

Early detection of cancer is a key ingredient for saving many lives. Unfortunately, cancers of the urogenital system are difficult to detect at early stage. The existing noninvasive diagnostics of prostate cancer (PCa) suffer from low accuracy (< 70%) even at advanced stages. In an attempt to improve the accuracy, a small breath study of 63 volunteers representing three groups: (1) of 19 healthy, (2) 28 with PCa, (3) with 8 kidney cancer (KC) and 8 bladder cancer (BC) was performed. Ultrabroadband mid-infrared Fourier absorption spectroscopy revealed eight spectral ranges (SRs) that differentiate the groups. The resulting accuracies of supervised analyses exceeded 95% for four SRs in distinguishing (1) vs (2), three for (1) vs (3) and four SRs for (1) vs (2) + (3). The SRs were then attributed to volatile metabolites. Their origin and involvement in urogenital carcinogenesis are discussed.

摘要

癌症的早期检测是拯救许多生命的关键因素。不幸的是,泌尿生殖系统癌症很难在早期被发现。现有的前列腺癌(PCa)非侵入性诊断方法即使在晚期也存在准确率低(<70%)的问题。为了提高准确性,对代表三个组的 63 名志愿者进行了一项小型呼吸研究:(1)19 名健康人,(2)28 名 PCa 患者,(3)8 名肾癌(KC)和 8 名膀胱癌(BC)患者。超宽带中红外傅里叶吸收光谱揭示了 8 个区分组的光谱范围(SRs)。在区分(1)与(2)、(1)与(3)和(1)与(2)+(3)方面,监督分析的准确率超过了 95%,其中有四个 SRs 用于区分(1)与(2),三个 SRs 用于区分(1)与(3),四个 SRs 用于区分(1)与(2)+(3)。然后将这些 SRs归因于挥发性代谢物。讨论了它们的来源及其在泌尿生殖系统癌变中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33dd/8443711/d6abb4b6bc79/41598_2021_96845_Fig1_HTML.jpg

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