2/26/25-Writing the Paper and Ensuring Clarity

Marina B -

Hi everyone!

I hope you’re all doing well! This week has been another productive step forward in my research project, and I wanted to share the progress I’ve made.

I’ve continued working with the multiparametric MRI data from benign and biopsy-naive patient groups. This week, my focus was on further refining the analysis of clinical factors such as age, PSA (Prostate-Specific Antigen) levels, and PI-RADS (Prostate Imaging Reporting and Data System) scores. 

This week, we ran into a bit of an issue regarding the clarity of our data. Since many patients get multiple MRIs, we were left with many more MRIs than patients, which made it seem like we had almost 1000 additional patients. To ensure clarity and consistency, we excluded non-first MRIs for patients who had gotten multiple.

Additionally, I’ve made some progress on the paper. I’ve started writing the results and methods sections and updating our consort diagram. This diagram is crucial for clearly illustrating how we selected our patient population and ensuring transparency in our research process. We carefully defined inclusion and exclusion criteria, which are vital for ensuring that the data we’re analyzing is both relevant and reliable.

This week, I also virtually met with my mentor, Dr. Tan, a postgraduate student who helped with the data collection, and a senior undergraduate student at ASU who is helping me write the paper. This week has been full of its ups and downs, but I’m so grateful to be learning from such a knowledgeable, understanding, and helpful team.

I’m excited to keep moving forward and look forward to sharing more updates with you soon!

All the best,

Marina Braggio

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    payton_d
    Hi Marina! I love what you have so far! When it came to only looking at the first MRI for those who received multiple, what if the non-first MRI's showed more relevant data? Do you explain this more in the paper?
    March 3, 2025 at 10:22 am - Reply
      marina_b
      Great question! We chose to include only the first MRI per patient to avoid overrepresenting individuals and maintain consistency, since follow-up MRIs could bias the results toward more severe cases. We acknowledge this limitation in the paper and note that future research could explore how MRI findings evolve over time.
      May 2, 2025 at 10:39 pm - Reply
    David Guo
    Hi Marina, Your project is very intriguing! Since there is so much data, I was wondering if you guys looked into using AI and computer analysis models to analyze the data. Thank you!
    March 3, 2025 at 5:01 pm - Reply

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