Deep learning-based imaging reconstruction for MRI after neoadjuvant chemoradiotherapy for rectal cancer: effects on image quality and assessment of treatment response.

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

To investigate the effects of deep learning-based imaging reconstruction (DLR) on the image quality of MRI of rectal cancer after chemoradiotherapy (CRT), and its accuracy in diagnosing pathological complete responses (pCR).

Related collections

Author and article information

Journal

Journal ID (iso-abbrev): Abdom Radiol (NY)

Title: Abdominal radiology (New York)

Publisher: Springer Science and Business Media LLC

ISSN (Electronic): 2366-0058

Publication date (Electronic): Jan 2023

Volume: 48

Issue: 1

Affiliations

[1 ] Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.

[2 ] Department of Radiology, Hanyang University Medical Center, 222-1, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Republic of Korea.

[3 ] Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea. jongkeon.jang@gmail.com.

[4 ] Department of Pathology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.

[5 ] Division of Colon and Rectal Surgery, Department of Surgery, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.

Article

Publisher Item ID: 10.1007/s00261-022-03701-3

DOI: 10.1007/s00261-022-03701-3

PubMed ID: 36261505

SO-VID: 11346fbe-16a2-401c-8501-023b5222d606

History

Keywords: High resolution,Magnetic resonance imaging,Rectal cancer,Chemoradiotherapy,Deep learning,Complete response

Data availability:

Keywords: High resolution, Magnetic resonance imaging, Rectal cancer, Chemoradiotherapy, Deep learning, Complete response

Deep learning-based imaging reconstruction for MRI after neoadjuvant chemoradiotherapy for rectal cancer: effects on image quality and assessment of treatment response.

Read this article at

Abstract

Related collections

Karger: Neurology and Neuroscience

Author and article information

Journal

Affiliations

Article

History

Comments

Comment on this article

Similar content 16

Cited by 2