In this prospective observational study involving 341 women with adnexal mass, 112 were diagnosed to have ovarian malignancy. Symptom score≥ 9 was found to be the appropriate cut-off score in them. Using this cut-off, the sensitivity, specificity, PPV, and NPV was found to be 84.8%, 88.6%,78.5%, and 92.3%, respectively. CA125≥ 35 U/ml was found to have slightly better sensitivity (86.6%) than the symptom score, but the specificity, PPV, and NPV were found to be lower. Combining CA125 and symptom score resulted in high sensitivity (96.4%) and NPV (97.4%) with specificity and PPV of 65.5% and 57.8%, respectively.
CA125, human epididymis protein 4(HE4), and OVA1 are commonly used biomarkers in women presenting with adnexal mass [10,11,12]. HE4 may have better sensitivity than CA125 in stage 1 ovarian cancer [13]. The sensitivity of OVA1 for epithelial ovarian cancers has been reported to be 99% [14]. However, these latest biomarkers may not be readily available in many developing countries. Symptom-based scoring system in combination with CA125 seems to be an attractive option in such a setting. Combining CA125 and symptom score resulted in high sensitivity (96.4%) in our study. This symptom-based scoring system in combination with CA125 can be used as a triaging tool to decide appropriate surgical care or referral for women with adnexal mass. If symptom score≥ 9 or if CA125≥ 35 U/ml, they can be referred to an oncology centre for better management of the disease. Several studies have shown that outcome in ovarian cancer is significantly improved when managed by gynecologic oncologists [15, 16].
The symptom score used in this study was developed by Grewal et al. for ovarian cancer screening in patients attending primary care clinic [9]. Symptoms of 212 women with ovarian cancer were compared with symptoms in 1060 age and practice-matched controls. The scoring system includes 7 symptoms and patients’ age. Using a score of ≥4 cut-off, the scoring system was found to have a specificity of 91.32% and sensitivity of 72.64%. In our study, we evaluated this scoring system in women with adnexal masses and found a score of ≥4 to have poor specificity. Score ≥9 was found to be a better cut-off. Using a cut-off ≥9, the sensitivity, specificity, PPV, and NPV were found to be 84.8%, 88.6%,78.5%, and 92.3%, respectively.
SI is another symptom-based scoring system developed for ovarian cancer screening in primary care clinic [6]. It consists of 6 symptoms (increased abdominal size, bloating, difficulty eating, or feeling full quickly and abdominal or pelvic pain). The SI is considered positive if these symptoms occur for more than 12 times a month and for a duration of less than 1 year. The main limitation of this scoring system is recall bias [17]. The scoring system described by Grewal et al. and used in this study eliminates this recall bias [9].
SI in combination with biomarkers has been evaluated in women presenting with adnexal mass to predict ovarian malignancy [7, 8]. A combination of SI and OVA1 was evaluated in 218 women who underwent surgery for pelvic mass in a prospective study [8]. The combination of SI and OVA1 was found to have a sensitivity of 100%, specificity of 36.3% with a NPV of 100%. They also evaluated a combination of SI and CA125 in these women. This combination was found to have a sensitivity of 96.9%, specificity of 59.7% with NPV of 97.3%. This is similar to the findings of our study where a combination of CA125 and symptom score was found to have a sensitivity of 96.4%, specificity of 65.5%, and NPV of 97.4%.
In another study involving 218 women, three markers (CA125, HE4, and SI) were evaluated in women with adnexal mass [7]. Patients were considered triple screen positive “if at least 2 of the 3 markers were abnormal” (CA125 ≥ 35 U/mL, HE4 ≥ 140 pmol/L, positive SI). The triple screen was found to have a sensitivity of 79%, specificity of 91%, and a NPV of 89%.
The strength of this study is that it is a prospective study and that the symptom score and CA125 levels were documented in all the patients. The relatively large sample size is another strength of the study. Investigators were blinded to the ultrasound findings and CA125 levels. This was done to eliminate observer bias. The limitation of the study is the high prevalence of ovarian cancer in our study population. As our centre is a tertiary referral hospital, this high prevalence was expected. The results of our study may not be applicable when dealing with a cohort with lower prevalence of ovarian malignancy. Further evaluation of this symptom-based scoring is needed in centres with lower prevalence of ovarian malignancy.