| Literature DB >> 36032465 |
Nathalie Ambounda Ledaga1,2, Sylvain Honore Woromogo1, Felicite Emma Yagata-Moussa3, Audin Serge Mavoungou2, Vicky Noel Simo Tekem2.
Abstract
Background: 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.Entities:
Keywords: Diagnosis; Tchibanga; cervical precancerous lesions; smartphone
Mesh:
Year: 2022 PMID: 36032465 PMCID: PMC9382470 DOI: 10.4314/ahs.v22i1.12
Source DB: PubMed Journal: Afr Health Sci ISSN: 1680-6905 Impact factor: 1.108
Socio-demographics and clinical characteristics of participants
| Characteristics | Participants N=144 | |
|
| ||
| n | % | |
| Age | ||
| Range age (years) | (18 ;70) | |
| Average age | 34 years ± 3.2 | |
| Median age (Q1 ; Q3) | 34 years (23 ; 61) | |
| 18–24 | 46 | 32.0 |
| 25–34 | 36 | 25.0 |
| 35–44 | 27 | 18.8 |
| 45–54 | 28 | 19.4 |
| 55–70 | 07 | 4.8 |
| Marital status | ||
| Married | 112 | 77.8 |
| Unmarried | 26 | 18.0 |
| Widows | 06 | 4.2 |
| Hormonal status | ||
| Menopausal women | 19 | 13.2 |
| Premenopausal | 125 | 86.8 |
| Family antecedents | ||
| Uterine cancer | 11 | 7.6 |
| Breast cancer | 06 | 4.3 |
| Others | 07 | 4.8 |
| No cancer | 120 | 83.3 |
| Parity | ||
| 0 | 49 | 34.03 |
| 1 | 34 | 23.61 |
| 2–3 | 16 | 11.11 |
| > 3 | 45 | 31.25 |
| Histiry of STIs | ||
| Chlamydia | 57 | 39.58 |
| HIV | 07 | 4.86 |
| Others | 19 | 13.20 |
| None /unknown | 61 | 42.36 |
Leukaemia, oropharyngeal cancer
Characteristics of the smartphonic images analysed on site 1 and 2
| Characteristics | Examiner 1(on site) | Examiner 2 (off site) | ||
|
| ||||
| n | % | n | % | |
| Lesions types | ||||
| Inflammation (red) | 13 | 9.0 | 22 | 15.3 |
| Others | 02 | 1.4 | 02 | 1.4 |
| No lesion | 129 | 89.6 | 120 | 83.3 |
| Connecting area | ||||
| Visible | 136 | 94.4 | 134 | 93.0 |
| Partially visible | 02 | 1.4 | 04 | 2.8 |
| Not visible | 06 | 4.2 | 06 | 4.2 |
| Images after VIA | ||||
| Positive | 19 | 13.2 | 21 | 14.6 |
| Negative | 125 | 86.8 | 123 | 85.4 |
| VIL image | ||||
| Positive | 35 | 24.3 | 32 | 22.22 |
| Negative | 109 | 75.7 | 112 | 77.78 |
| Smart phonic impressions | ||||
| ATG1 | 24 | 16.7 | 23 | 16.0 |
| ATG2 | 11 | 7.6 | 09 | 6.2 |
| Normal impressions | 105 | 72.9 | 104 | 72.2 |
| Others (cervical | 04 | 2.8 | 08 | 5.6 |
ATG: Atypical Transformation of Grade
Concordance between the two sites regarding VIA, VIL and smartphonic impressions results
| Examiner1(on site) | Examiner 2(off site) | |||
|
| ||||
| Positive test | Negative test | Total | k | |
| Acetic acid inspection (VIA) | 0.83 | |||
| VIA test positive | 17 | 2 | 19 | |
| VIA test negative | 4 | 121 | 125 | |
| Total | 21 | 123 | 144 | |
| Lugol-based inspection (VIL) | 0.86 | |||
| VIL test positive | 30 | 05 | 35 | |
| VIL test negative | 02 | 107 | 109 | |
| Total | 32 | 112 | 144 | |
| Smartphonic impression | 0.86 | |||
| Impression+ | 30 | 05 | 35 | |
| Impression- | 02 | 107 | 109 | |
| Total | 32 | 112 | 144 | |
Performance of VIA/VIL tests at the Tchibanga site in 2018 compared to cytology results
| Test to explore | Reference test (cytology) | Total | Sensitivity (95 % CI) | Specificity (95% CI) | |||
|
| |||||||
| Positive (N=17) | Negative (N =118) | ||||||
|
| |||||||
| n | % | n | % | ||||
| VIA test | 70.6 (62.9–78.3) | 94.1 (90.1–98.1 | |||||
| Positive | 12 | 70.6 | 07 | 5.9 | 19 | ||
| Négative | 05 | 29.4 | 111 | 94.1 | 116 | ||
| VIL test | 82.4 (75.9 – 88.9) | 82.2 (75.7 – 88.7) | |||||
| Positive | 14 | 82.4 | 21 | 17.8 | 35 | ||
| Négative | 03 | 17.6 | 97 | 82.2 | 100 | ||