Inter State Centre for Higher Public Health Education in Central Africa (CIESPAC), Brazzaville, Congo.
University Hospital Centre of Libreville, Gynecology and Obstetric Service, Gabon.
Afr Health Sci. 2022 Mar;22(1):92-97. doi: 10.4314/ahs.v22i1.12.
Cervical precancerous lesions are disorders that can induce discolouration changes. Their detection is difficult in remote areas in the absence of adequate equipment. The objectives were to evaluate Smartphone performance in diagnosing cervical precancerous lesions in Tchibanga, Gabon.
It was an interventional cross-sectional study to evaluate the validity and reliability of the smartphone as a tool for diagnosing atypical changes in the cervix. Study period was between July 1, 2017 to February 28, 2018 at the Tchibanga Regional Hospital (CHRT) and the University Hospital (CHU). The variability between examiners was determined according to Cohen's Kappa formula. The Gold standard test was the cytology.
Compared to the examiner -1, the examiner - 2 found a high percentage of inflammations as atypical transformations : 15.3% versus 9%. With regard to smartphonic impressions, the examiner-1 found the normal impressions almost equal to that of the examiner-2, 72.9% versus 72.2%. The concordance between positive smartphonic impressions was 93.8% and 95.5% between negative smartphonic impressions, with k = 0.86.
In view of the above, the concordance between positive and negative smart phonic impressions was 93.8 and 95.5% with k = 0.86. The performance parameters being good, there is a need to use the smartphone as a tool for the diagnosis of precancerous lesions.
宫颈前病变是一种可引起变色改变的疾病。在缺乏足够设备的偏远地区,其检测较为困难。本研究旨在评估智能手机在加蓬 Tchibanga 地区诊断宫颈前病变的性能。
这是一项评价智能手机作为诊断宫颈不典型改变的工具的有效性和可靠性的干预性横断面研究。研究期间为 2017 年 7 月 1 日至 2018 年 2 月 28 日,地点为 Tchibanga 地区医院(CHRT)和大学医院(CHU)。根据 Cohen 的 Kappa 公式确定检查者之间的变异性。金标准测试是细胞学。
与检查者 1 相比,检查者 2 发现宫颈炎等不典型转化的比例较高:15.3%比 9%。关于智能手机印象,检查者 1 发现正常印象与检查者 2 几乎相同,分别为 72.9%和 72.2%。阳性智能手机印象的一致性为 93.8%,阴性智能手机印象的一致性为 95.5%,K 值为 0.86。
鉴于上述情况,阳性和阴性智能手机印象的一致性分别为 93.8%和 95.5%,K 值为 0.86。由于性能参数良好,因此有必要使用智能手机作为诊断前病变的工具。