<?xml version="1.0" encoding="UTF-8"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-10-19T00:02:00Z</responseDate><request verb="GetRecord" identifier="oai:ebyu-rdlopen.rawdatalibrary.net:ebyu/16544" metadataPrefix="oai_dc">https://ebyu-rdlopen.rawdatalibrary.net/oai/request</request><GetRecord><record><header><identifier>oai:ebyu-rdlopen.rawdatalibrary.net:ebyu/16544</identifier><datestamp>2026-10-18T21:14:18Z</datestamp><setSpec>openaire</setSpec><setSpec>driver</setSpec><setSpec>com_ebyu_10000</setSpec><setSpec>col_ebyu_10001</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:title>Type 2 dynamic curves: A diagnostic dilemma</dc:title><dc:creator>Karavas, Erdal</dc:creator><dc:creator>Ece, Bunyamin</dc:creator><dc:creator>Aydin, Sonay</dc:creator><dc:subject>Type 2</dc:subject><dc:subject>Dynamic curve</dc:subject><dc:subject>Benign</dc:subject><dc:subject>Malignant</dc:subject><dc:subject>Breast</dc:subject><dc:subject>Magnetic resonance imaging</dc:subject><dc:subject>CONTRAST-ENHANCED MRI</dc:subject><dc:subject>BREAST-LESIONS</dc:subject><dc:subject>CONTRALATERAL BREAST</dc:subject><dc:subject>IMAGING FINDINGS</dc:subject><dc:subject>WOMEN</dc:subject><dc:subject>CANCER</dc:subject><dc:subject>CARCINOMA</dc:subject><dc:subject>ACCURACY</dc:subject><dc:subject>Radiology, Nuclear Medicine &amp; Medical Imaging</dc:subject><dc:description>BACKGROUND Magnetic resonance imaging (MRI) with multiparametric dynamic contrast plays a critical role in the assessment of breast lesions. Dynamic curves are a critical parameter in determining the benign or malignant nature of lesions. Dynamic curves of type 1 are known to represent benign masses, while dynamic curves of type 3 are known to identify malignant masses. Type 2 dynamic curves have a sensitivity of 42.6% and specificity of 75% for malignancy detection. AIM To investigate the pathological diagnosis of lesions with type 2 dynamic curves. METHODS We evaluated breast MRI examinations performed between 2020 and 2021 retrospectively and included lesions with type 2 dynamic curves. We included 38 lesions from 33 patients. The lesions were evaluated for their pathological diagnosis and morphological characteristics. RESULTS Twenty-six lesions were malignant, while twelve were benign. The most frequently encountered benign lesion (7/12, 58.3%) was sclerosing adenosis, while the most frequently encountered malignant diagnosis was invasive ductal cancer. 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 sensitivity and specificity were increased. CONCLUSION The high rates of malignancy detected histopathologically among patients with type 2 dynamic curves in our study are remarkable. Type 2 dynamic curves can be detected in benign breast masses, especially in sclerosing adenosis cases. Considering morphological features can increase the diagnostic accuracy in cases with type 2 dynamic curves.</dc:description><dc:publisher>BAISHIDENG PUBLISHING GROUP INC</dc:publisher><dc:date>2022</dc:date><dc:type>Article</dc:type><dc:identifier>https://rdlopen.rawdatalibrary.net/r/ebyu/16544</dc:identifier><dc:identifier>https://doi.org/10.4329/wjr.v14.i7.229</dc:identifier><dc:identifier>1949-8470</dc:identifier><dc:language>en</dc:language><dc:relation>WORLD JOURNAL OF RADIOLOGY</dc:relation><dc:rights>info:eu-repo/semantics/openAccess</dc:rights><dc:type>info:eu-repo/semantics/article</dc:type><dc:identifier>https://ebyu-rdlopen.rawdatalibrary.net/tr/items/ebyu/16544</dc:identifier></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>