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腹内癌症的诊断困境

Diagnostic Dilemma in Intra-abdominal Cancers.

作者信息

Baral Gehanath

机构信息

Department of Obstetrics & Gynecology, Nobel Medical College, Biratnagar, Nepal.

出版信息

JNMA J Nepal Med Assoc. 2025 Mar;63(283):132-133. doi: 10.31729/jnma.8919. Epub 2025 Mar 31.

DOI:10.31729/jnma.8919
PMID:40656928
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12122273/
Abstract

PROBLEM STATEMENT

A diagnostic dilemma exists in cancer care, especially in intraabdominal lesions. Despite the diagnostic means available so far, clinical decision-making is practically difficult due to diagnostic limitations. The inherent variation of any means influences decision-making. There is an iceberg-like diagnostic inaccuracy in revealing the specific condition or disease. This clinical decision-making gap is worrisome.

CONCLUSION

Besides technological and bio-molecular advancements, the structured working framework would be protective and persuasive in mitigating dilemmas to some extent.

摘要

问题陈述

癌症治疗中存在诊断难题，尤其是在腹内病变方面。尽管目前已有多种诊断手段，但由于诊断局限性，临床决策在实际操作中仍存在困难。任何诊断手段的内在差异都会影响决策。在揭示具体病情或疾病方面存在类似冰山的诊断不准确情况。这种临床决策差距令人担忧。

结论

除了技术和生物分子方面的进步，结构化工作框架在一定程度上减轻困境方面将具有保护作用且有说服力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/707e/12122273/639cfae8a2b0/JNMA-63-283-132-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/707e/12122273/639cfae8a2b0/JNMA-63-283-132-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/707e/12122273/639cfae8a2b0/JNMA-63-283-132-g1.jpg

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本文引用的文献

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Adopting Logic Model to Predict Ovarian Cancer.采用逻辑模型预测卵巢癌。
J Nepal Health Res Counc. 2024 Dec 20;22(3):632-638. doi: 10.33314/jnhrc.v22i03.5407.
2
Enduring Dilemmas in Gastroenterology.胃肠病学中持久的困境
Diagnostics (Basel). 2023 Dec 27;14(1):65. doi: 10.3390/diagnostics14010065.
3
Past, Present, and Future of Serum Tumor Markers in Management of Ovarian Cancer: A Guide for the Radiologist.血清肿瘤标志物在卵巢癌管理中的过去、现在和未来：放射科医生的指南。
Radiographics. 2021 Oct;41(6):1839-1856. doi: 10.1148/rg.2021210005.
4
Pitfalls and Caveats in Applying Chromogenic Immunostaining to Histopathological Diagnosis.应用显色免疫组化染色进行组织病理学诊断的陷阱和注意事项。
Cells. 2021 Jun 15;10(6):1501. doi: 10.3390/cells10061501.
5
Cancer Diagnosis Using Deep Learning: A Bibliographic Review.使用深度学习进行癌症诊断：文献综述
Cancers (Basel). 2019 Aug 23;11(9):1235. doi: 10.3390/cancers11091235.
6
Difficulties in the diagnosis of an intra-abdominal mass.腹腔内肿块的诊断困难。
Postgrad Med J. 1999 Sep;75(887):559-61. doi: 10.1136/pgmj.75.887.559.