Quantitative classification of invasive and noninvasive breast cancer using dynamic magnetic resonance imaging of the mammary gland.

IF 1.1 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Clinical Imaging Science Pub Date : 2022-08-05 eCollection Date: 2022-01-01 DOI:10.25259/JCIS_56_2022

Yoshiaki Miyazaki, Juichiro Shimizu, Yuichiro Kubo, Nobuyuki Tabata, Tomohiko Aso

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引用次数: 0

Abstract

Objectives: Breast cancers are classified as invasive or noninvasive based on histopathological findings. Although time-intensity curve (TIC) analysis using magnetic resonance imaging (MRI) can differentiate benign from malignant disease, its diagnostic ability to quantitatively distinguish between invasive and noninvasive breast cancers has not been determined. In this study, we evaluated the ability of TIC analysis of dynamic MRI data (MRI-TIC) to distinguish between invasive and noninvasive breast cancers.

Material and methods: We collected and analyzed data for 429 cases of epithelial invasive and noninvasive breast carcinomas. TIC features were extracted in washout areas suggestive of malignancy.

Results: The graph determining the positive diagnosis rate for invasive and noninvasive cases revealed that the cut-off θ_i/ni value was 21.6° (invasive: θ_w > 21.6°, noninvasive: θ_w ≤ 21.6°). Tissues were classified as invasive or noninvasive using this cut-off value, and each result was compared with the histopathological diagnosis. Using this method, the accuracy of tissue classification by MRI-TIC was 88.6% (380/429), which was higher than that using ultrasound (73.4%, 315/429).

Conclusion: MRI-TIC is effective for the classification of invasive vs. noninvasive breast cancer.

Abstract Image

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乳腺动态磁共振成像对浸润性和非浸润性乳腺癌的定量分类。

目的:根据组织病理学结果将乳腺癌分为浸润性和非浸润性。虽然使用磁共振成像(MRI)的时间强度曲线(TIC)分析可以区分良性和恶性疾病，但其定量区分浸润性和非浸润性乳腺癌的诊断能力尚未确定。在这项研究中，我们评估了动态MRI数据的TIC分析(MRI-TIC)区分浸润性和非浸润性乳腺癌的能力。材料和方法:我们收集并分析了429例上皮性浸润性和非浸润性乳腺癌的资料。在提示恶性肿瘤的洗脱区提取TIC特征。结果:有创和无创病例的阳性诊断率曲线图显示，cut cut θi/ni值为21.6°(有创:θw > 21.6°，无创:θw≤21.6°)。使用该临界值将组织分类为侵入性或非侵入性，并将每种结果与组织病理学诊断进行比较。采用该方法，MRI-TIC对组织分类的准确率为88.6%(380/429)，高于超声(73.4%，315/429)。结论:MRI-TIC对浸润性和非浸润性乳腺癌的分类是有效的。

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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来源期刊

Journal of Clinical Imaging Science RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

2.00

自引率

0.00%

发文量

期刊介绍： The Journal of Clinical Imaging Science (JCIS) is an open access peer-reviewed journal committed to publishing high-quality articles in the field of Imaging Science. The journal aims to present Imaging Science and relevant clinical information in an understandable and useful format. The journal is owned and published by the Scientific Scholar. Audience Our audience includes Radiologists, Researchers, Clinicians, medical professionals and students. Review process JCIS has a highly rigorous peer-review process that makes sure that manuscripts are scientifically accurate, relevant, novel and important. Authors disclose all conflicts, affiliations and financial associations such that the published content is not biased.