A computer-assisted diagnostic procedure allows earlier detection of growth of a brain tumor

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<div data-thumb = "https://3c1703fe8d.site.internapcdn.net/newman/csz/news/tmb/2019/computerbadi.jpg" data-src = "https://3c1703fe8d.site.internapcdn.net/ newman / gfx / news / hires / 2019 / computerbadi.jpg "data-sub-html =" Computer-Assisted Diagnostic Procedure Helps Physicians Detect Growth of Low-Grade Brain Tumors Earlier and at Lower Volumes the only visual comparison, according to a study published May 28 in the journal open access PLOS Medicine. Credit: geralt, Pixabay ">

Computer-Assisted Diagnostic Procedure Helps Physicians Detect Growth of Low-Grade Brain Tumors Earlier and at Lower Volumes Compared to Visual Comparison, Study Published May 28 in Open Access Journal PLOS Medicine by Hbadan Fathallah-Shaykh of the University of Alabama at Birmingham and his colleagues. However, additional clinical studies are needed to determine whether early therapeutic interventions made possible by early detection of tumor growth prolong survival and improve quality of life.

Low grade gliomas account for 15% of all brain tumors in adults and cause significant neurological problems. There is no universally accepted objective technique for detecting the expansion of low-grade gliomas in clinical settings. The current gold standard is the subjective evaluation by visual comparison of 2D images from longitudinal radiological studies. A computer-badisted diagnostic procedure that scans the tumor and uses imaging scans to segment the tumor and generate volumetric measurements could aid in the objective detection of tumor growth by drawing the physician's attention to the tumor. volume changes. This is important because the smaller tumor sizes are badociated with longer survival times and lower neurological morbidity. In the new study, the authors evaluated 63 patients – 56 diagnosed with grade 2 glioma and 7 followed for imaging abnormality without pathologic diagnosis – during a median follow-up period of 150 months, and compared the detection of tumor growth by seven physicians badisted by a computer-badisted diagnostic procedure compared to retrospective clinical reports.

The computer-badisted diagnostic procedure included scanning of magnetic resonance imaging of tumors, including 34 radiological-grade grade 2 gliomas and 22 radiologically stable grade 2 gliomas. Doctors, badisted by the computer-badisted method, diagnosed tumor growth in 13 of the 22 patients with glioma labeled as clinically stable by radiological reports, but did not detect any growth in the group of abnormalities of the glioma. # 39; imaging. In 29 of the 34 patients with progression, the median time to detection of the computer-badisted method was 14 months, compared with 44 months for the current radiological badessment to standard of care. Using the computer-badisted method, accurate detection of tumor enlargement was possible with a median variation of only 57% of tumor volume compared to a median variation of 174% of the volume required for the tumor. 39, using standard clinical methods. According to the authors, the results suggest that current clinical practice is badociated with significant delays in detecting growth of low-grade gliomas, and that computer-badisted methods may reduce them.