2015
DOI: 10.3802/jgo.2015.26.1.46
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Distinguishing benign from malignant pelvic mass utilizing an algorithm with HE4, menopausal status, and ultrasound findings

Abstract: ObjectiveThe purpose of this study was to develop a risk prediction score for distinguishing benign ovarian mass from malignant tumors using CA-125, human epididymis protein 4 (HE4), ultrasound findings, and menopausal status. The risk prediction score was compared to the risk of malignancy index and risk of ovarian malignancy algorithm (ROMA).MethodsThis was a prospective, multicenter (n=6) study with patients from six Asian countries. Patients had a pelvic mass upon imaging and were scheduled to undergo surg… Show more

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Cited by 42 publications
(36 citation statements)
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“…Although Wilailak et al, (2015) (AuROC 89.3%) and Yanaranop et al, (2016) (AuROC 92.8%) reported the use of HE-4 as a predictive parameter, we did not insert HE-4 within our model because it was not widely used in our clinical setting due to limited expenses, and usually required longer waiting time for the result. With categorization of continuous variables and exclusion of variables from previously reported models, five parameters were left within our scoring scheme.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Although Wilailak et al, (2015) (AuROC 89.3%) and Yanaranop et al, (2016) (AuROC 92.8%) reported the use of HE-4 as a predictive parameter, we did not insert HE-4 within our model because it was not widely used in our clinical setting due to limited expenses, and usually required longer waiting time for the result. With categorization of continuous variables and exclusion of variables from previously reported models, five parameters were left within our scoring scheme.…”
Section: Discussionmentioning
confidence: 99%
“…Many preoperative prediction tools for ovarian cancer were consistently developed in many institutions e.g. The Risk of Malignancy Index I-IV (Jacobs et al, 1990;Tingulstad et al, 1996;Tingulstad et al, 1999;Yamamoto et al, 2009), The Risk of Malignancy Algorithms, an ultrasound prediction model developed by the International Ovarian Tumor Analysis (IOTA) study (Moore et al, 2009), Rajavithi-Ovarian cancer predictive score (Yanaranop et al, 2016) and algorithm with HE4, menopausal status and ultrasound findings (Wilailak et al, 2015). However, none of them can effectively distinguish between early and advanced stage ovarian cancer.…”
Section: Introductionmentioning
confidence: 99%
“…It has been more helpful for diagnosis than for monitoring therapeutic response. HE-4 has most frequently been used in conjunction with CA125 and other factors to distinguish ovarian cancer from a benign abdominal process 40,46,47. The mucin-like TAG-72 is generally expressed on adenocarcinomas and less frequently in other types of malignancies 48–50.…”
Section: Discussionmentioning
confidence: 99%
“…In order to increase the sensitivity and specificity for the detection of EOC, a number of novel markers have been investigated, including matrix metalloproteinase-1, osteopontin, and human epididimis 4 [4][5][6]. Of these, high mobility group box 1 (HMGB1) was characterized as a non-histone, nuclear DNA-binding protein [7].…”
Section: Introductionmentioning
confidence: 99%
“…However, its utility as a screening marker is limited due to its low sensitivity and specificity [2]. Moreover, the serum level of CA125 can be elevated in other cancers such as uterine cancer, gastrointestinal cancer, as well as in benign disease [3].In order to increase the sensitivity and specificity for the detection of EOC, a number of novel markers have been investigated, including matrix metalloproteinase-1, osteopontin, and human epididimis 4 [4][5][6]. Of these, high mobility group box 1 (HMGB1) was characterized as a non-histone, nuclear DNA-binding protein [7].…”
mentioning
confidence: 99%