人工智能辅助分析乳腺钼靶片对浸润性乳腺癌广泛导管内成分的诊断潜力。 - Suppr

Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer.

作者信息

Chan Heang-Ping

机构信息

Department of Radiology, University of Michigan, 1500 E. Medical Center Dr., Med Inn Building C477, Ann Arbor, MI, 48109-5842, USA.

出版信息

Eur Radiol. 2024 Apr;34(4):2590-2592. doi: 10.1007/s00330-023-10449-x. Epub 2023 Nov 16.

DOI:10.1007/s00330-023-10449-x

PMID:37971682

Abstract

摘要

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Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer.人工智能辅助分析乳腺钼靶片对浸润性乳腺癌广泛导管内成分的诊断潜力。

Eur Radiol. 2024 Apr;34(4):2590-2592. doi: 10.1007/s00330-023-10449-x. Epub 2023 Nov 16.

Mammographic features predicting an extensive intraductal component in early-stage infiltrating ductal carcinoma.预测早期浸润性导管癌广泛导管内成分的乳腺钼靶特征。

AJR Am J Roentgenol. 1992 Feb;158(2):269-72. doi: 10.2214/ajr.158.2.1309620.

Multitask deep learning on mammography to predict extensive intraductal component in invasive breast cancer.基于乳腺 X 线摄影的多任务深度学习预测浸润性乳腺癌广泛导管内成分。

Eur Radiol. 2024 Apr;34(4):2593-2604. doi: 10.1007/s00330-023-10254-6. Epub 2023 Oct 9.

A practical approach to breast ductal carcinoma in situ and tumors with an extensive intraductal component.乳腺导管原位癌及具有广泛导管内成分肿瘤的实用诊疗方法

Pathology. 1994 Apr;26(2):90-3. doi: 10.1080/00313029400169271.

Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features.基于深度学习特征预测导管原位癌中的隐匿性浸润性疾病。

J Am Coll Radiol. 2018 Mar;15(3 Pt B):527-534. doi: 10.1016/j.jacr.2017.11.036. Epub 2018 Feb 2.

Evaluation of an AI Model to Assess Future Breast Cancer Risk.评估人工智能模型预测未来乳腺癌风险的研究

Radiology. 2023 Jun;307(5):e222679. doi: 10.1148/radiol.222679.

Correlation of suspicious mammograms and x-rays of breast biopsies during surgery. Results in 60 cases.手术期间乳腺钼靶可疑影像与乳腺活检X线检查的相关性。60例结果。

Cancer. 1973 Mar;31(3):656-9. doi: 10.1002/1097-0142(197303)31:3<656::aid-cncr2820310325>3.0.co;2-g.

Circumscribed intraductal carcinoma of the breast.乳腺导管内局限性癌

Radiology. 1989 Feb;170(2):423-5. doi: 10.1148/radiology.170.2.2536186.

StatBite: Percent change in DCIS, invasive breast cancer, and mammography.数据要点：导管原位癌、浸润性乳腺癌及乳腺X线摄影的百分比变化。

J Natl Cancer Inst. 2011 Mar 16;103(6):457. doi: 10.1093/jnci/djr084. Epub 2011 Mar 10.

Circumscribed intraductal carcinoma of the breast.乳腺导管内局限性癌

Radiology. 1989 Aug;172(2):579-80. doi: 10.1148/radiology.172.2.579-a.

引用本文的文献

Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review.人工智能辅助乳腺钼靶摄影在乳腺成像中的诊断测试准确性：一项叙述性综述。

PeerJ Comput Sci. 2025 Feb 19;11:e2476. doi: 10.7717/peerj-cs.2476. eCollection 2025.

本文引用的文献

Extensive Intraductal Component in Breast Cancer: What Role in Disease-Free Survival?乳腺癌广泛导管内成分：在无病生存中扮演什么角色？

J Surg Res. 2023 Mar;283:233-240. doi: 10.1016/j.jss.2022.10.094. Epub 2022 Nov 21.

The Accuracy of Mammography, Ultrasound, and Magnetic Resonance Imaging For the Measurement of Invasive Breast Cancer With Extensive Intraductal Components.乳腺摄影、超声和磁共振成像在测量广泛导管内成分的浸润性乳腺癌中的准确性。

Clin Breast Cancer. 2023 Jan;23(1):45-53. doi: 10.1016/j.clbc.2022.10.004. Epub 2022 Oct 13.

Breast Cancer: Let Imaging Be Our Guide and Improving Patient Outcomes Be Our Goal.乳腺癌：以影像为指引，以改善患者预后为目标。

Radiology. 2019 Aug;292(2):309-310. doi: 10.1148/radiol.2019190949. Epub 2019 May 28.

Mammography, US, and MRI to Assess Outcomes of Invasive Breast Cancer with Extensive Intraductal Component: A Matched Cohort Study.乳腺 X 线摄影术、超声、MRI 用于评估广泛导管内成分的浸润性乳腺癌的结局：一项匹配队列研究。

Radiology. 2019 Aug;292(2):299-308. doi: 10.1148/radiol.2019182762. Epub 2019 May 28.

Impact of an In Situ Component on Outcome After In-Breast Tumor Recurrence in Patients Treated with Breast-Conserving Therapy.保乳治疗后乳腺内肿瘤复发患者中局部区域治疗模式对结局的影响。

Ann Surg Oncol. 2018 Jan;25(1):154-163. doi: 10.1245/s10434-017-6209-4. Epub 2017 Nov 1.

Impact of Preoperative Breast MR Imaging and MR-guided Surgery on Diagnosis and Surgical Outcome of Women with Invasive Breast Cancer with and without DCIS Component.术前乳腺磁共振成像和磁共振引导手术对有和无 DCIS 成分的浸润性乳腺癌患者诊断和手术结果的影响。

Radiology. 2017 Sep;284(3):645-655. doi: 10.1148/radiol.2017161449. Epub 2017 Apr 26.

Mammography, US, and MRI for Preoperative Prediction of Extensive Intraductal Component of Invasive Breast Cancer: Interobserver Variability and Performances.乳腺钼靶、超声及磁共振成像用于术前预测浸润性乳腺癌广泛导管内成分：观察者间差异及性能

Clin Breast Cancer. 2016 Aug;16(4):305-11. doi: 10.1016/j.clbc.2016.02.005. Epub 2016 Feb 11.

Presence of an in situ component is associated with reduced biological aggressiveness of size-matched invasive breast cancer.原位成分的存在与大小匹配的浸润性乳腺癌的生物学侵袭性降低有关。

Br J Cancer. 2010 Apr 27;102(9):1391-6. doi: 10.1038/sj.bjc.6605655.

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Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer.

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