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Purpose: Hepatic organic anion transporting polypeptides (OATPs) transport off-the-shelf, FDA-approved, hepatospecific Gd-based MRI contrast agents into cells that express the transporters enhancing signal on T1-weighted MRI. Studies have used MRI to identify OATP-overexpressing tumors and metastases transplanted in mice following the delivery of Gd-EOB-DTPA at 27-67-fold higher than clinical doses. With safety and regulatory concerns over Gd-based contrast agents, translating OATPs as an MRI reporter protein to humans for regenerative medicine will require substantially lower doses of agent.
Procedures: We engineered the MyC-CaP mouse tumor cell line to express rat OATP1B2, which influxes both Gd-EOB-DTPA and Gd-BOPTA, resulting in signal enhancement on T1-weighted MRI. We then inoculated mice with rat OATP1B2 and non-expressing cells bilaterally to generate tumors. 3-4 weeks after inoculation, when tumors had formed, in-vivo MRI imaging was performed with delivery of 0.025 mmol/kg or 0.25 mmol/kg of the Gd-based contrast agents. We complemented static T1-weighted MRI and T1-mapping with dynamic contrast enhanced (DCE)-MRI and performed area under the curve (AUC) analysis to discriminate the two tumor types.
Results: While all OATP1B2-expressing tumors were easily visible at the high dose of 0.25 mmol/kg on T1-weighted MRI and easy to distinguish from control tumors, OATP1B2-expressing tumors were hard to identify and distinguish from non-expressing tumors at the lower, clinical dose of 0.025 mmol/kg with standard T1-weighted MRI or T1-mapping. However, AUC analyses of the DCE-MRI curves could identify and distinguish these tumors, needing 30 (Gd-EOB-DTPA) or 45 (Gd-BOPTA) minutes acquisition time.
Conclusions: By performing AUC analyses of DCE-MRI curves following delivery of clinical concentration of MRI contrast agents, OATP1B2-expressing tumors could be identified and distinguished from control tumors, suggesting this imaging approach as a path to substantially reducing the amount of contrast agent needed to use OATPs as a clinically viable reporter protein for imaging regenerative medicine.
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http://dx.doi.org/10.1007/s11307-025-01986-6 | DOI Listing |
Front Oncol
August 2025
Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Background: Low-grade endometrial stromal sarcoma (LG-ESS) is a rare malignant tumor of the female reproductive system with atypical clinical symptoms and slow progression.
Case: A 44-year-old female with a history of intermittent severe dysmenorrhea, previous laparoscopic myomectomy, and uterine artery embolization (UAE) presented with rapidly enlarging pelvic masses. Imaging revealed uterine masses suggestive of leiomyomas, although an adnexal origin could not be excluded.
Psychol Med
September 2025
Department of Psychiatry, https://ror.org/04wjghj95The First Hospital of China Medical University, Shenyang, China.
Background: This study investigates structural abnormalities in hippocampal subfield volumes and shapes, and their association with plasma CC chemokines in individuals with major depressive disorder (MDD).
Methods: A total of 61 patients with MDD and 65 healthy controls (HC) were recruited. All participants underwent high-resolution T1-weighted imaging and provided blood samples for the detection of CC chemokines (CCL2, CCL7, and CCL11).
Comput Med Imaging Graph
August 2025
Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China. Electronic address:
Bipolar disorder (BD) is a debilitating mental illness characterized by significant mood swings, posing a substantial challenge for accurate diagnosis due to its clinical complexity. This paper presents CS2former, a novel approach leveraging a dual channel-spatial feature extraction module within a Transformer model to diagnose BD from resting-state functional MRI (Rs-fMRI) and T1-weighted MRI (T1w-MRI) data. CS2former employs a Channel-2D Spatial Feature Aggregation Module to decouple channel and spatial information from Rs-fMRI, while a Channel-3D Spatial Attention Module with Synchronized Attention Module (SAM) concurrently computes attention for T1w-MRI feature maps.
View Article and Find Full Text PDFMagn Reson Med
September 2025
Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Purpose: Gadoxetic acid-enhanced hepatobiliary phase T-weighted (Tw) MRI is effective for the detection of focal liver lesions but lacks sufficient T contrast to distinguish benign from malignant lesions. Although the addition of T, diffusion, and dynamic contrast-enhanced Tw imaging improves lesion characterization, these methods often do not provide adequate spatial resolution to identify subcentimeter lesions. This work proposes a high-resolution, volumetric, free-breathing liver MRI method that produces colocalized fat-suppressed, variable Tw images from a single acquisition, thereby improving both lesion detection and characterization.
View Article and Find Full Text PDFFront Oncol
August 2025
Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China.
Purpose: To develop a magnetic resonance imaging (MRI)-based radiomics nomogram to predict lymphovascular space invasion (LVSI) status in patients with early-stage cervical adenocarcinoma (CAC).
Methods: Clinicopathological and MRI data from 310 patients with histopathologically confirmed early-stage CAC were retrospectively analyzed. Patients were divided into training (n = 186) and validation (n = 124) cohorts.