HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Global Institution for Collaborative Research and Education : GI-CoRE >
Peer-reviewed Journal Articles, etc >

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

This item is licensed under:Creative Commons Attribution 4.0 International

Files in This Item:

The file(s) associated with this item can be obtained from the following URL: https://doi.org/10.1186/s12894-015-0087-5


Title: Five-point Likert scaling on MRI predicts clinically significant prostate carcinoma
Authors: Harada, Taisuke Browse this author
Abe, Takashige Browse this author →KAKEN DB
Kato, Fumi Browse this author →KAKEN DB
Matsumoto, Ryuji Browse this author →KAKEN DB
Fujita, Hiromi Browse this author
Murai, Sachiyo Browse this author
Miyajima, Naoto Browse this author
Tsuchiya, Kunihiko Browse this author
Maruyama, Satoru Browse this author →KAKEN DB
Kudo, Kohsuke Browse this author →KAKEN DB
Shinohara, Nobuo Browse this author →KAKEN DB
Issue Date: 4-Sep-2015
Publisher: BioMed Central
Journal Title: BMC urology
Volume: 15
Start Page: 91
Publisher DOI: 10.1186/s12894-015-0087-5
PMID: 26334874
Abstract: Background: 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. Methods: 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. Results: 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 cm3 tumors increased according to the upgrade of Likert scores (score 1 or 2: 33 %; score 3: 68.8 %; score 4 or 5: 90.9 %, χ2 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 %, χ2 test, p = 0.0001). On using score 3 or higher as the threshold of cancer detection on MRI, the detection rate markedly improved if the tumor volume exceeded 0.5 cm3 (<0.2 cm3: 10.3 %; 0.2-0.5 cm3: 25 %; 0.5-1.0 cm3: 66.7 %; 1.0 < cm3: 92.1 %). Conclusions: Each Likert scale favobably reflected the corresponding tumor’s volume and Gleason score. Our observations show that “score 3 or higher” could be a useful threshold to predict clinically significant carcinoma when considering treatment options.
Rights: https://creativecommons.org/licenses/by/4.0/
Type: article
URI: http://hdl.handle.net/2115/75504
Appears in Collections:北海道大学病院 (Hokkaido University Hospital) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
国際連携研究教育局 : GI-CoRE (Global Institution for Collaborative Research and Education : GI-CoRE) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 

 - Hokkaido University