A proposal for a new scoring system to evaluate pelvic masses: Pelvic Masses Score (PMS)

Rossi, Alberto; Braghin, C.; Soldano, Franca; Isola, Miriam; Capodicasa, Valentina; Londero, Ambrogio P.; Forzano, L.; Marchesoni, D.

doi:10.1016/j.ejogrb.2011.02.009

Cited by 22 publications

(29 citation statements)

References 16 publications

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“…HE4 alone (0.864), presented in our recently published article (8). Furthermore, our score system reaches high sensitivity and specificity rates (92% and 96% respectively) and high PPV and NPV (80% and 98% respectively) that completely outperforms, in terms of diagnostic power, those reported by other predictive scores used worldwide such as Risk of Ovarian Malignancy Algorithm (ROMA) or Risk Malignancy Index (RMI) that have been developed in ovarian cancer to improve the accuracy of diagnosis (16)(17)(18). In fact, the ROMA score, based on a combination of age, CA125, and HE4 levels and considered the most accurate, showed lower sensitivity (88.1%), specificity (74.9%), PPV (38.1%), and NPV (97.3%) compared with our results (16).…”

Section: Discussionmentioning

confidence: 79%

REM (Risk of Endometrial Malignancy): A Proposal for a New Scoring System to Evaluate Risk of Endometrial Malignancy

Angioli

Capriglione

Aloisi

et al. 2013

Clinical Cancer Research

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Purpose: It is often difficult to distinguish a benign endometrial disease from a malignancy and tools to help the physician are needed to triage patients into high and low risk of endometrial cancer. The purpose of this study was to obtain a predictive model to assess the risk of endometrial malignancy (REM) in women with ultrasound endometrial abnormalities.Experimental Design: Women, between ages 45 to 80 years, diagnosed through ultrasound with endometrial abnormalities and scheduled to have surgery were enrolled on a prospective study at the Department of Gynaecologic Oncology of Campus Bio-Medico, University of Rome. Preoperative clinical, ultrasound and laboratory characteristics were taken into account. Logistic regression algorithm was used to categorize patients into low-and high-risk groups for endometrial cancer.Results: A total of 675 patients were considered for the analysis: 88 with endometrial cancer and 587 with benign endometrial disease. We divided the patients into two groups: training set (TS) and verification set (VS). Preoperative age, symptom, HE4 levels, and ultrasound endometrial thickness were found statistically significant, and were included into a multivariate logistic regression model to determine the probability to have endometrial cancer. In the TS, REM reported 93.3% sensitivity and 97.1% specificity Conclusions: Our data support the use of REM to triage patients into low-and high-risk groups for endometrial cancer, even if an external validation of the model is needed.

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Section: Discussionmentioning

confidence: 79%

REM (Risk of Endometrial Malignancy): A Proposal for a New Scoring System to Evaluate Risk of Endometrial Malignancy

Angioli

Capriglione

Aloisi

et al. 2013

Clinical Cancer Research

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“…At the present moment, screening methods include transvaginal ultrasound, serum markers and the combination of both [20]. Among the serum markers, one of the most well characterized and used is cancer antigen 125 (CA125), that, if serially determined in blood samples can achieve a good specificity (up to 99.6%) [4], but its sensitivity and specificity are limited by the facts that many benign gynecological and medical conditions, as well as other malignancies can elevate CA125 levels and 20% of stage I ovarian can- cers express little or no CA125 [17].…”

Section: Introductionmentioning

confidence: 99%

Placental type alkaline phosphatase tissue expression in ovarian serous carcinoma

Orsaria

Londero

Marzinotto

et al. 2017

CBM

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Abstract. OBJECTIVE:To analyze the expression profile of placental type alkaline phosphatase (PLAP), cancer antigen 125 (CA125), and human epididymis protein 4 (HE4) in serous ovarian cancer and to correlate their expression with the tumor aggressiveness and progression. METHODS: Retrospective study considering a tissue microarray of 82 women affected by ovarian serous cancer. Protein expression was assessed by immunohistochemistry on ovarian serous cancer tissue samples. Immunohistochemical staining was semiquantitatively evaluated as H-score. RESULTS: Median H-score values were lower for PLAP, 1 (IQR 0-4) than CA125, 10 (IQR 6-12) or HE4, 8 (IQR 5-12). Even if PLAP was less expressed in the cells of serous ovarian cancer than CA125 or HE4 it was relatively more expressed in the fourth quartile of its H-score distribution among cases with low CA125 or HE4 expression. Furthermore, PLAP and HE4 high expression resulted to be significantly correlated with a better prognosis. CONCLUSIONS: PLAP could be an additional marker for early detection of serous ovarian carcinoma, together with the established CA125 and HE4. In addition, PLAP expression is correlated with prognosis, giving, in this way, an additional tool for improving treatment approach.

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“…The pelvic mass score consists of a sonographic scan (Sassone score), Doppler values (color score and resistive index value), and serum CA‐125 level 29 . The variables used in the malignancy index include the septum thickness in a cystic tumor, resistive index, peak systolic velocity, and serum CA‐125 level.…”

Section: Resultsmentioning

confidence: 99%

“…6,26,33,29,45 If no blood flow is observed in a color Doppler scan or a high-resistance flow pattern is shown (resistive index >0.6), benign lesions may be predicted with high probability (negative predictive value, 97%-99%). 29,52,53 However, others argued that supplementing the grayscale sonography with Doppler parameters did not improve the accuracy of predicting ovarian tumor malignancy. 49 Certain examination procedures and lists of several parameters were established for performing and describ-ing pelvic sonography.…”

Section: Sonographymentioning

confidence: 99%

Usefulness of Diagnostic Indices Comprising Clinical, Sonographic, and Biomarker Data for Discriminating Benign From Malignant Ovarian Masses

Stukan

Dudziak

Ratajczak³

et al. 2015

J of Ultrasound Medicine

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The objective of this study was to review the accuracy of indices combining several diagnostic variables, in comparison to other models, sonography alone, and biomarker assays, for predicting benign or malignant ovarian lesions. Different single modalities were reviewed. The most useful complex models were International Ovarian Tumor Analysis (IOTA) sonographic logistic regression model 2 (area under the curve, 0.949), risk of malignancy index-cancer antigen 125-human epididymis protein 4 (0.950), risk of malignancy algorithm (0.953), pelvic mass score (0.960), non-IOTA logistic regression model (0.970), and histoscanning score logistic regression model (0.970). None of the indices was superior to an expert subjective sonographic assessment (0.968). For women with adnexal tumors, indices with high accuracy are available that are applicable in clinical practice and comparable to an expert subjective sonographic assessment for discriminating benign from malignant masses.

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A proposal for a new scoring system to evaluate pelvic masses: Pelvic Masses Score (PMS)

Cited by 22 publications

References 16 publications

REM (Risk of Endometrial Malignancy): A Proposal for a New Scoring System to Evaluate Risk of Endometrial Malignancy

REM (Risk of Endometrial Malignancy): A Proposal for a New Scoring System to Evaluate Risk of Endometrial Malignancy

Placental type alkaline phosphatase tissue expression in ovarian serous carcinoma

Usefulness of Diagnostic Indices Comprising Clinical, Sonographic, and Biomarker Data for Discriminating Benign From Malignant Ovarian Masses

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