Abstract:

Objective: By studying the morphological and quantitative characteristics that malign and benign breast masses show in uncontrasted sequences, we wanted to explore the effectiveness of uncontrasted sequences in the distinction of malign and benign lesions and in the prediction of malinity. Instruments and Methods: With the uncontrasted T1 weight imaging (T1AG) of fifty benign and 45 malign breast damage, we have also analyzed quantitative characteristics with the morphological, oil-printed T1AG, turbo inversion recovery magnitude (TRIM) T2AG and diffusion-weight imaging (DAG) as well as retrospective. From the morphological characteristics, the shape and boundary characteristics of the lesions were assessed. The quantitative characteristics were also measured through the ROI with the FGD intensity ratio of injury/fibroglandular tissue. The student-t test was used to compare quantitative values in malign and benign lesions, while the chisquare test was used to compare morphological characteristics. Results: In T1AGs there was a meaningful relationship between the condition of malignity and benignity and the boundary and shape characteristics of the injury respectively (p <0,001, p =0,002). In DAG, in malign and benign lesions, the ADC value was significantly different and statistically very meaningful (p <0,001). The average ADC value was 0.98±0.27x10-3 mm2/s for malignant injury and 1.24±0.34x10-3 mm2/s for benign injury. The ADC cut-off value was determined as 1.20x10-3 mm2/s. Cut-off sensitivity is 88, specificity is 60, PPV is 66, NPV is 85% and accuracy is 73%. Result: In the uncontrasted MRG, DAG is the most important uncontrasted image that we will make quantitative assessment in the distinction of malign and benign lesions and in the detection of malign lesions. The assessment of the morphology of the injury with T1AG is indicative in the prediction of malignity.

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