Karavas E, Ece B, Aydın S. Type 2 dynamic curves: A diagnostic dilemma. World J Radiol 2022; 14(7): 229-237 [PMID: 36160627 DOI: 10.4329/wjr.v14.i7.229]
Corresponding Author of This Article
Bunyamin Ece, MD, Associate Professor, Doctor, Department of Radiology, Kastamonu University, Kuzeykent 57, Alay Street No. 4, Kastamonu 37150, Turkey. bunyaminece@hotmail.com
Research Domain of This Article
Radiology, Nuclear Medicine & Medical Imaging
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Radiol. Jul 28, 2022; 14(7): 229-237 Published online Jul 28, 2022. doi: 10.4329/wjr.v14.i7.229
Type 2 dynamic curves: A diagnostic dilemma
Erdal Karavas, Bunyamin Ece, Sonay Aydın
Erdal Karavas, Sonay Aydın, Department of Radiology, Erzincan University, Erzincan 24142, Turkey
Bunyamin Ece, Department of Radiology, Kastamonu University, Kastamonu 37150, Turkey
Author contributions: Karavas E participated in design and oversight of the study, and drafted the manuscript; Ece B participated in design of the study and drafted the manuscript; and Aydin S participated in design of the study, drafted the manuscript, and performed statistical analysis.
Institutional review board statement: The study was reviewed and approved by the Erzincan University Institutional Review Board (ethics committee number: 34336249-604.01.02-E.30236).
Conflict-of-interest statement: All authors report no relevant conflicts of interest for this article.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at bunyaminece@hotmail.com. Informed consent was not obtained since the presented data are anonymized and risk of identification is low.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Bunyamin Ece, MD, Associate Professor, Doctor, Department of Radiology, Kastamonu University, Kuzeykent 57, Alay Street No. 4, Kastamonu 37150, Turkey. bunyaminece@hotmail.com
Received: February 19, 2022 Peer-review started: February 19, 2022 First decision: April 8, 2022 Revised: April 16, 2022 Accepted: July 6, 2022 Article in press: July 6, 2022 Published online: July 28, 2022 Processing time: 158 Days and 5 Hours
Core Tip
Core Tip: Dynamic contrast-enhanced magnetic resonance imaging (MRI) plays a critical role in the evaluation of breast lesions. The sensitivity and specificity of dynamic curves acquired using MRI are variable. While type 1 curves indicate more benign pathologies and type 3 curves indicate more malignant pathologies, there is a significant overlap in type 2 dynamic curves. We examined the histopathological outcomes of lesions with type 2 curves retrospectively. The histopathology results of lesions with type 2 curves were malignant at a rate of 68.4%. The presence of a type 2 dynamic curve had a sensitivity of 40.2% and specificity of 73.4% for predicting malignancy. By combining type 2 curves and morphological features, the area under the curve, sensitivity, and specificity were increased.
