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Clinical Trial Summary

This study aims to use a combination of abbreviated protocol and artificial intelligence to automatically identify lesions and make diagnosis without decreasing the diagnostic accuracy of breast cancer, thus enhancing the comfort of patient examination, accelerating the flow of examination and reducing the load of clinical work.


Clinical Trial Description

Full sequence of MRI scan is: MR scan protocol: 1. Magnetic fields and coils: Use MR scanners with high fields of 1.5 T and above with dedicated breast coils. 2. Scanning position: prone position with bilateral breasts naturally draped over the center of the breast coil. The position should ensure that all breast tissue is located in the coil, the skin and breast are not folded, the bilateral breast is symmetrical, the nipple is perpendicular to the ground, and the midline of the sternum is located in the middle line of the coil. 3. Scanning sequence and parameters: T1WI non-fat suppressed sequence, T2WI fat suppressed sequence, dynamic five-phase enhanced T1WI fat suppressed sequence, and diffusion weighted imaging (DWI); delayed sagittal T1W1 fat suppressed sequence. Imaging parameters: the thickness of the scanned layer should be ≤3 mm, the resolution within the layer should be <1.5 mm, and the single scan time should be <2 min. Enhancement scan: Gadobutrol used as the contrast agent, and the injection dose was 0.1 ml/kg, which was injected through the elbow vein at a rate of 2-3 mL/s using a pressure syringe, and 10-20 mL of saline was injected into the tube at the same rate after the contrast agent injection. The T1WI sequences before and after enhancement were preferably fat-suppressed and bilateral mammary glands were imaged simultaneously, and subtraction treatment was recommended. The recommended duration of delayed enhancement scan is 7 min, not less than 5 min. Abbreviated sequences : T1WI + dynamic enhanced T1 phase I + maximum density projection images generated by automatic reconstruction in three directions. No extra sequences are required. By adding artificial inteeligence, a diagnostic performance comparable with full sequences is expected. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05892380
Study type Observational [Patient Registry]
Source Fudan University
Contact Yajia Gu, MD
Phone +8621-64175590
Email cjr.guyajia@vip.163.com
Status Not yet recruiting
Phase
Start date July 1, 2023
Completion date August 1, 2025

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