 Hey, hi everyone. Let's discuss about my study in short span of time. And my study is regarding the role of magnetic resonance imaging in the evaluation of phylloid tumor of breast. It's done under the guidance of Professor Dr. Pratik Shah Yadumman. It is done in the department of radio diagnosis, Dr. D.Y. Patil Medical College Hospital and Research Center, Pune, Maharashtra. When it comes to the introduction of phylloid tumor, few lines regarding phylloid tumor. It is also known as Cysto sarcoma phylloids because of its leaf-like pattern of growth. It is a rare fibroepithelial tumor of breast which has some resemblance to a fibroidinoma. It is a large fast-growing mass that forms from the periductal stroma of breast. It accounts for less than 0.3 to 1% of all breast neoblasms. It is a most common predominantly occurring tumor in adult women before the menopause in between the ages of 40 and 60 and very few are reported in the adolescents. Mammography and ultrasound breast cannot provide adequate evaluation and MRI is an excellent modality for evaluation of the phylloids. When it comes to the clinical presentation, this presence has a painless rapidly growing mobile mass over the breast region. The exact etiology is unknown. Factors like trauma, lactation, pregnancy, and increased estrogenic activity occasionally are involved in stimulating the tumor growth. When it comes to the histology, it is of three types, benign, borderline, and malignant. On histopathology, the findings will be like double-layered epithelial component arrayed in clefs and surrounded by hypercellular stromal mesenchymal component. The aims and objectives of my study are involving utility of MRI in evaluation and characterization of phylloids tumor. Objectives involved evaluating the phylloids tumor in size, extent, pectoralis, muscle, and chest wall involvement on MRI to differentiate benign and malignant phylloids tumor, MR spectroscopy correlation, and histopathological correlation whenever it is possible. When it comes to the materials and methods, it is done in D.Y. Partle Medical College Hospital and Research Center Pune. It is a prospectus type of study done in between March 2022, February 2021. Six months is the period I have taken for the data collection and six months is the period I have taken for data analysis and reporting. Sample size is 20 cases. And study design is observational and descriptive type. And this is this study is done by using machine Siemens Magnetum Veda MRI machine, which is 3D and IEC clearance and informed consent are taken from all the patients. When it comes to the inclusion criteria, this includes patients with clinical signs and symptoms indicating phylloids tumor of breast, ultrasonography and mammography evidence of phylloids tumor of breast, histopathological evidence of phylloids tumor of breast, exclusion criteria are the patients which are falling out of inclusion criteria and patients with contraindications of MRI. This is the machine I have used for my study. When it comes to the imaging findings of one case, image A is an axial T1 weighted image showing a large iso-to-hypo-intense irregular mass in right breast with few hypo-intense septic. Image B is the axial T2 weighted image showing large hyper-intense mass in the right breast with multiple hypo-intense septic. Image C and D are axial diffusion weighted images which are not showing any diffusion restriction and image D is the ADC image which is showing high corresponding ADC values. These are the imaging findings in one more case. Image A is an axial T2 weighted image showing large well circumscribed heterogeneous mixed signal intensity mass with multiple septations and cystic spaces involving the entire breast, right breast. Image B is sagittal T2 weighted image which is showing septations and cystic spaces more clearly. Image C is post-contrast image showing heterogeneous enhancement and image D is post-contrast subtracted image which is showing enhancement of septa and non-enhancing cystic spaces within. This is the MR spectroscopy graph which is showing Collin peak in the mass lesion. When it comes to the discussion of elotes tumor, it is of three types, benign borderline and malignant. On MRI, all the three will show more or less the same findings like large mass lesions with well circumscribed margins, internal septations and low to high signal intensity on T2 weighted image and sometimes on T1 weighted image some hyper intense foci will be seen which are representing hyper edge. Few cases showing inhomogeneous signal intensities on T1 weighted and T2 weighted are due to cystic areas with internal septations within. When it comes to the cystic spaces in benign category they will appear like smooth margins and homogenous signal intensity on T2 weighted image. In borderline and malignant they will show irregular margins with heterogeneous signal intensities on T2 weighted image due to rapid growth in case of malignance. When it comes to the dynamic contrast study in case of benign category they will show progressive enhancement pattern type which is type 1 and in borderline and malignant they show type 2 which is platu pattern and type 3 which is washout pattern due to increased angiogenesis. When it comes to the MR spectroscopy in benign category they do not show any Collin peak in borderline and malignant category they will show Collin peak. When it comes to the results of my study out of 20 cases 17 cases are of benign type and 3 cases are of malignant type 10 cases are showing cystic spaces remaining cases are not showing cystic spaces. When it comes to the kinetic curves 10 are of type 1 6 are of type 2 4 are of type 3. Concluding this fill out tumor MRI is an excellent non-invasive modality for characterization and evaluation of the fill out tumor as they are very large many times which cannot be evaluated on mammography and USG pressed most of the times. Multi parametric MRI involving dynamic contrast enhancement diffusion weighted imaging and spectroscopy is very very helpful to differentiate between malignant and benign lesions. These are the references I have used for my study. I thank Indian team radiologist for giving me this opportunity.