Five-point Likert scaling on MRI predicts clinically significant prostate carcinoma

BMC Urology
Taisuke HaradaNobuo Shinohara

Abstract

To clarify the relationship between the probability of prostate cancer scaled using a 5-point Likert system and the biological characteristics of corresponding tumor foci. The present study involved 44 patients undergoing 3.0-Tesla multiparametric MRI before laparoscopic radical prostatectomy. Tracing based on pathological and MRI findings was performed. The relationship between the probability of cancer scaled using the 5-point Likert system and the biological characteristics of corresponding tumor foci was evaluated. A total of 102 tumor foci were identified histologically from the 44 specimens. Of the 102 tumors, 55 were assigned a score based on MRI findings (score 1: n = 3; score 2: n = 3; score 3: n = 16; score 4: n = 11 score 5: n = 22), while 47 were not pointed out on MRI. The tracing study revealed that the proportion of >0.5 cm(3) tumors increased according to the upgrade of Likert scores (score 1 or 2: 33%; score 3: 68.8%; score 4 or 5: 90.9%, χ(2) test, p < 0.0001). The proportion with a Gleason score >7 also increased from scale 2 to scale 5 (scale 2: 0%; scale 3: 56.3%; scale 4: 72.7%; 5: 90.9%, χ(2) test, p = 0.0001). On using score 3 or higher as the threshold of cancer detection on MRI, the detection rate mark...Continue Reading

References

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Aug 16, 2006·Virchows Archiv : an International Journal of Pathology·Sara JonmarkerLars Egevad
Feb 11, 2012·European Radiology·Jelle O BarentszUNKNOWN European Society of Urogenital Radiology
Feb 26, 2015·AJR. American Journal of Roentgenology·Andrew B RosenkrantzSamir S Taneja

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Citations

Jan 21, 2017·Diagnostics·Stephen J Assinder, Vanitha Bhoopalan
Feb 17, 2019·Journal of Magnetic Resonance Imaging : JMRI·Vincent Stephen EvansDavid Atkinson
Oct 8, 2021·Environmental Science and Pollution Research International·Alaba Olasunkanmi OsosanmiAyodeji Emmanuel Oke

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Methods Mentioned

BETA
biopsy

Software Mentioned

JMP®
Image J

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