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1.
PLOS Digit Health ; 2(10): e0000357, 2023 Oct.
Article in English | MEDLINE | ID: mdl-37801433

ABSTRACT

One of the key biomarkers evaluating liver disease progression is an elevated bilirubin level. Here we apply smartphone imaging to non-invasive assessment of bilirubin in patients with cirrhosis. Image data was processed using two different approaches to remove variation introduced by ambient conditions and different imaging devices-a per-image calibration using a color chart in each image, and a two-step process using pairs of flash/ no-flash images to account for ambient light in combination with a one-time calibration. For the first time, results from the forehead, sclera (white of the eye) and lower eyelid were compared. The correlation coefficients between the total serum bilirubin and the predicted bilirubin via the forehead, sclera and lower eyelid were 0.79, 0.89 and 0.86 (all with p<0.001, n = 66), respectively. Given the simpler image capture for the sclera, the recommended imaging site for this patient cohort is the sclera.

2.
PLoS One ; 18(3): e0281736, 2023.
Article in English | MEDLINE | ID: mdl-36867642

ABSTRACT

BACKGROUND: Anaemia affects approximately a quarter of the global population. When anaemia occurs during childhood, it can increase susceptibility to infectious diseases and impair cognitive development. This research uses smartphone-based colorimetry to develop a non-invasive technique for screening for anaemia in a previously understudied population of infants and young children in Ghana. METHODS: We propose a colorimetric algorithm for screening for anaemia which uses a novel combination of three regions of interest: the lower eyelid (palpebral conjunctiva), the sclera, and the mucosal membrane adjacent to the lower lip. These regions are chosen to have minimal skin pigmentation occluding the blood chromaticity. As part of the algorithm development, different methods were compared for (1) accounting for varying ambient lighting, and (2) choosing a chromaticity metric for each region of interest. In comparison to some prior work, no specialist hardware (such as a colour reference card) is required for image acquisition. RESULTS: Sixty-two patients under 4 years of age were recruited as a convenience clinical sample in Korle Bu Teaching Hospital, Ghana. Forty-three of these had quality images for all regions of interest. Using a naïve Bayes classifier, this method was capable of screening for anaemia (<11.0g/dL haemoglobin concentration) vs healthy blood haemoglobin concentration (≥11.0g/dL) with a sensitivity of 92.9% (95% CI 66.1% to 99.8%), a specificity of 89.7% (72.7% to 97.8%) when acting on unseen data, using only an affordable smartphone and no additional hardware. CONCLUSION: These results add to the body of evidence suggesting that smartphone colorimetry is likely to be a useful tool for making anaemia screening more widely available. However, there remains no consensus on the optimal method for image preprocessing or feature extraction, especially across diverse patient populations.


Subject(s)
Colorimetry , Smartphone , Child , Child, Preschool , Humans , Infant , Bayes Theorem , Feasibility Studies , Ghana , Hospitals, Teaching
3.
J Gastroenterol Hepatol ; 38(2): 330-336, 2023 Feb.
Article in English | MEDLINE | ID: mdl-36574965

ABSTRACT

BACKGROUND AND AIM: Serum bilirubin is an established marker of liver disease. Reliable tools for non-invasive assessment of jaundice in cirrhosis patients, at risk of clinical decompensation, are highly desirable. While smartphone-based imaging has been described in neonatal jaundice, it has not been investigated in advanced cirrhosis patients. METHODS: We included 46 hospitalized patients with acute cirrhosis decompensation and jaundice. Scleral images using an Android smartphone were taken to derive "Scleral Color Values (SCV)," which were matched with same day serum bilirubin measurements. In 29 patients, repeat SCV and bilirubin measurements were performed over time. We analyzed the relationship of SCV and its dynamics with serum bilirubin, clinical scores, and patient outcomes. RESULTS: Of 46 patients, 26 (57%) had alcoholic hepatitis as the decompensation precipitant. Seven patients died during admission; a further 12 following hospital discharge. SCV had an excellent linear correlation with serum bilirubin (rho = 0.90, P < 0.001); changes in SCV and serum bilirubin across different time points, were also closely associated (rho = 0.77, P < 0.001). SCV correlated significantly with CLIF Consortium Acute Decompensation score (rho = 0.38, P < 0.001) and grade of Acute-on-Chronic Liver Failure (rho = 0.42, P = 0.039). SCV was higher in patients who died, however, not significantly (86.1 [IQR 83.0-89.7] vs 82.3 [IQR 78.5-83.3], P = 0.22). The associations of SCV with clinical parameters mirrored those of serum bilirubin. CONCLUSION: Smartphone-based assessment of jaundice shows excellent concordance with serum bilirubin and is associated with clinical parameters in acute cirrhosis decompensation. This approach offers promise for remote assessment of cirrhosis patients at-risk of decompensation, post hospital discharge.


Subject(s)
Jaundice , Smartphone , Infant, Newborn , Humans , Liver Cirrhosis/complications , Hospitalization , Jaundice/complications , Bilirubin , Prognosis
4.
Pediatrics ; 150(1)2022 07 01.
Article in English | MEDLINE | ID: mdl-35656782

ABSTRACT

OBJECTIVES: Reducing the burden of bilirubin-induced neurologic complications in low-resource countries requires reliable and accessible screening tools. We sought to optimize and validate a sclera-based smartphone application, Neonatal Scleral-Conjunctival Bilirubin (neoSCB), for screening neonatal jaundice. METHODS: Using a cross-sectional design, consecutive eligible infants (aged 0-28 days, in the hospital, not critically ill) were enrolled in Ghana from March 2019 to April 2020. Jaundice screening was performed with neoSCB (Samsung Galaxy S8) to quantify SCB and JM-105 (Dräger) for transcutaneous bilirubin (TcB). Screening values were compared with total serum bilirubin (TSB) measured at the point of care. RESULTS: Overall, 724 infants participated in the optimization and validation phases of the study. The analysis for validation included 336 infants with no previous treatment of jaundice. Single neoSCB image captures identified infants with TSB >14.62 mg/dL (250 µmol/L) with reasonably high sensitivity, specificity, and receiver operating characteristic area under the curve at 0.94 (95% confidence interval [CI], 0.91 to 0.97), 0.73 (95% CI, 0.68 to 0.78), and 0.90, respectively. These findings were comparable to the sensitivity and specificity of JM-105 (0.96 [95% CI, 0.90 to 0.99] and 0.81 [95% CI, 0.76 to 0.86], respectively). The TcB/TSB had a larger correlation coefficient (r = 0.93; P < .01) than SCB/TSB (r = 0.78; P < .01). Performance of both devices was lower in infants with previous phototherapy (n = 231). CONCLUSIONS: The diagnostic performance of neoSCB was comparable to JM-105 and is a potential, affordable, contact-free screening tool for neonatal jaundice.


Subject(s)
Jaundice, Neonatal , Jaundice , Bilirubin , Cross-Sectional Studies , Ghana , Humans , Infant , Infant, Newborn , Jaundice, Neonatal/therapy , Neonatal Screening/methods , Sclera/chemistry , Smartphone
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