前列腺成像的未来:评估前列腺磁共振成像的人工智能。

IF 1.4 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING World journal of radiology Pub Date : 2023-05-28 DOI:10.4329/wjr.v15.i5.136
Lyubomir Chervenkov, Nikolay Sirakov, Gancho Kostov, Tsvetelina Velikova, George Hadjidekov
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引用次数: 1

摘要

前列腺癌;腺癌是成年男性中最常见的癌症之一,也是男性和女性死亡的主要原因之一。前列腺癌的诊断需要丰富的经验,即使这样,病变也很难发现。此外,尽管随着多参数磁共振的出现,这种疾病的诊断方法有了显著改善,但该技术仍有某些未解决的局限性。近年来,人工智能(AI)被引入放射学领域,为前列腺诊断提供了新的软件解决方案。通过人工智能,前列腺的精确定位已经成为可能,这大大提高了活检的准确性。人工智能还允许根据前列腺成像报告和数据系统分类将某些可疑病变归因于给定组。最后,人工智能促进了从临床、实验室(前列腺特异性抗原)、成像(磁共振)和活检检查中获得的数据的结合,通过这种方式可以发现目前仍然隐藏的新规律。人工智能在这一领域的进一步发展是必然的,几乎可以肯定的是,人工智能将显著提高Pca的疗效、准确性和治疗效率。
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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Future of prostate imaging: Artificial intelligence in assessing prostatic magnetic resonance imaging.

Prostate cancer (Pca; adenocarcinoma) is one of the most common cancers in adult males and one of the leading causes of death in both men and women. The diagnosis of Pca requires substantial experience, and even then the lesions can be difficult to detect. Moreover, although the diagnostic approach for this disease has improved significantly with the advent of multiparametric magnetic resonance, that technology has certain unresolved limitations. In recent years artificial intelligence (AI) has been introduced to the field of radiology, providing new software solutions for prostate diagnostics. Precise mapping of the prostate has become possible through AI and this has greatly improved the accuracy of biopsy. AI has also allowed for certain suspicious lesions to be attributed to a given group according to the Prostate Imaging-Reporting & Data System classification. Finally, AI has facilitated the combination of data obtained from clinical, laboratory (prostate-specific antigen), imaging (magnetic resonance), and biopsy examinations, and in this way new regularities can be found which at the moment remain hidden. Further evolution of AI in this field is inevitable and it is almost certain to significantly expand the efficacy, accuracy and efficiency of diagnosis and treatment of Pca.

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来源期刊
World journal of radiology
World journal of radiology RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
自引率
8.00%
发文量
35
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