PURPOSE: We aimed to evaluate the benefit of adding CT texture analysis on conventional CT features of benign adnexal cystic lesions, especially in identifying mucinous cystadenoma. METHODS: This retrospective study included patients who underwent surgical removal of benign ovarian cysts (44 mucinous cystadenomas, 32 serous cystadenomas, 16 follicular/simple cysts and 43 endometriotic cysts) at our institution between January 2015 and November 2017. The CT images were independently reviewed by an abdominal radiologist (reviewer 1) and a resident (reviewer 2). Both reviewers recorded the conventional characteristics and performed texture analysis. Based on reviewer 1's results, two decision trees for differential diagnosis were developed. Reviewer 2's results were then applied to the decision trees. The diagnostic performances of each reviewer with and without the decision trees were compared. RESULTS: Several conventional features and texture analysis parameters showed significant differences between mucinous cystadenomas and other benign adnexal cysts. The first decision tree selected septum number and thickness as significant features, whereas the second decision tree selected septum number and the mean values at spatial scaling factor (SSF) 0. Reviewer 1's performance did not change significantly with or without the use of the decision trees. Reviewer 2's interpretations were significantly less sensitive than reviewer 1's interpretations (p = 0.001). However, when aided by the first and second decision trees, Reviewer 2's interpretations were significantly more sensitive than reviewer 1's interpretations (86.4%, p < 0.001; 72.7%, p = 0.001). CONCLUSION: This study suggests the benefit of CT texture analysis on conventional images to differentiate mucinous cystadenoma from other benign adnexal cysts, particularly for less experienced radiologists.
PURPOSE: We aimed to evaluate the benefit of adding CT texture analysis on conventional CT features of benign adnexal cystic lesions, especially in identifying mucinous cystadenoma. METHODS: This retrospective study included patients who underwent surgical removal of benign ovarian cysts (44 mucinous cystadenomas, 32 serous cystadenomas, 16 follicular/simple cysts and 43 endometriotic cysts) at our institution between January 2015 and November 2017. The CT images were independently reviewed by an abdominal radiologist (reviewer 1) and a resident (reviewer 2). Both reviewers recorded the conventional characteristics and performed texture analysis. Based on reviewer 1's results, two decision trees for differential diagnosis were developed. Reviewer 2's results were then applied to the decision trees. The diagnostic performances of each reviewer with and without the decision trees were compared. RESULTS: Several conventional features and texture analysis parameters showed significant differences between mucinous cystadenomas and other benign adnexal cysts. The first decision tree selected septum number and thickness as significant features, whereas the second decision tree selected septum number and the mean values at spatial scaling factor (SSF) 0. Reviewer 1's performance did not change significantly with or without the use of the decision trees. Reviewer 2's interpretations were significantly less sensitive than reviewer 1's interpretations (p = 0.001). However, when aided by the first and second decision trees, Reviewer 2's interpretations were significantly more sensitive than reviewer 1's interpretations (86.4%, p < 0.001; 72.7%, p = 0.001). CONCLUSION: This study suggests the benefit of CT texture analysis on conventional images to differentiate mucinous cystadenoma from other benign adnexal cysts, particularly for less experienced radiologists.
Authors: F Faschingbauer; M W Beckmann; T Weyert Goecke; S Renner; L Häberle; M Benz; T Wittenberg; C Münzenmayer Journal: Ultraschall Med Date: 2012-05-23 Impact factor: 6.548
Authors: N F Vlahos; C Iavazzo; M C Marcopoulos; A Alamanou; P Kouiroukidou; V Chatzidakis; D Botsis; G Creatsas Journal: Surg Innov Date: 2012-02-26 Impact factor: 2.058
Authors: T Fukuda; M Ikeuchi; H Hashimoto; M Shakudo; M Oonishi; S Saiwai; H Nakazima; T Miyamoto; E Takashima; Y Inoue Journal: J Comput Assist Tomogr Date: 1986 Nov-Dec Impact factor: 1.826
Authors: J N Buy; M A Ghossain; A S Mark; L Deligne; D Hugol; J B Truc; P Poitout; D Vadrot Journal: AJR Am J Roentgenol Date: 1992-10 Impact factor: 3.959
Authors: Pietro Valerio Foti; Giancarlo Attinà; Saveria Spadola; Rosario Caltabiano; Renato Farina; Stefano Palmucci; Giuseppe Zarbo; Rosario Zarbo; Maria D'Arrigo; Pietro Milone; Giovanni Carlo Ettorre Journal: Insights Imaging Date: 2015-12-16