Non-invasive detection of anaemia using digital photographs of the conjunctiva

PLoS ONE

Volumn 11, Issue 4, 2016, Pages

  Collings, Shaun ^a,b   Thompson, Oliver ^c   Hirst, Evan ^c   Goossens, Louise ^d   George, Anup ^d   Weinkove, Robert ^b,d,e  

^a UNIVERSITY OF OTAGO   (New Zealand)

^b MALAGHAN INSTITUTE OF MEDICAL RESEARCH   (New Zealand)

^c CALLAGHAN INNOVATION   (New Zealand)

^d CAPITAL AND COAST DISTRICT HEALTH BOARD   (New Zealand)

^e UNIVERSITY OF OTAGO WELLINGTON   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

HEMOGLOBIN;

ADULT; ANEMIA; ARTICLE; CAMERA; CLINICAL ASSESSMENT; CONJUNCTIVA; CONJUNCTIVA DISEASE; CONJUNCTIVA PALLOR; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DIGITAL PHOTOGRAPHY; FEMALE; HOSPITAL PATIENT; HUMAN; MAJOR CLINICAL STUDY; MALE; NON INVASIVE MEASUREMENT; OBSERVATIONAL STUDY; OUTPATIENT; PALLOR; PHOTOGRAPHY; PREDICTION; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SMARTPHONE; AGED; BLOOD; COMPUTER ASSISTED DIAGNOSIS; ERYTHEMA; MASS SCREENING; MIDDLE AGED; OBSERVER VARIATION; PATHOLOGY; PROCEDURES; REPRODUCIBILITY;

AGED; ANEMIA; CONJUNCTIVA; CROSS-SECTIONAL STUDIES; ERYTHEMA; FEMALE; HEMOGLOBINS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; MASS SCREENING; MIDDLE AGED; OBSERVER VARIATION; PALLOR; PHOTOGRAPHY; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; SMARTPHONE;

EID: 84963716518     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0153286     Document Type: Article

References (19)

1. World Health Organisation. Nutritional Anaemias. Report of a WHO scientific group. World Heal Organ -Tech Rep Ser. 1968; 503: 1-29.
2. World Health Organisation. Worldwide prevalence of anaemia. WHO Rep. 2005; 51.
3. Hickner J, Graham DG, Elder NC, Brandt E, Emsermann CB, Dovey S, et al. Testing process errors and their harms and consequences reported from family medicine practices: A study of the American Academy of Family Physicians National Research Network. Qual Saf Health Care. 2008; 17: 194-200. doi: 10.1136/qshc.2006.021915 PMID: 18519626
4. Sanchis-Gomar F, Cortell-Ballester J, Pareja-Galeano H, Banfi G, Lippi G. Hemoglobin point-of-care testing: The HemoCue system. J Lab Autom. 2013; 18: 198-205. doi: 10.1177/2211068212457560 PMID: 22961038
5. Butt Z, Ashfaq U, Sherazi SFH, Jan NU, Shahbaz U. Diagnostic accuracy of "pallor" for detecting mild and severe anaemia in hospitalized patients. J Pak Med Assoc. 2010; 60: 762-5. PMID: 21381587
6. Kalantri A, Karambelkar M, Joshi R, Kalantri S, Jajoo U. Accuracy and reliability of pallor for detecting anaemia: A hospital-based diagnostic accuracy study. Malaga G, editor. PLoS One. Public Library of Science; 2010; 5: E8545. doi: 10.1371/journal.pone.0008545 PMID: 20049324
7. Chalco JP, Huicho L, Alamo C, Carreazo NY, Bada CA. Accuracy of clinical pallor in the diagnosis of anaemia in children: A meta-analysis. BMC Pediatr. 2005; 5: 46. doi: 10.1186/1471-2431-5-46 PMID: 16336667
8. Chowdhury M-E-EK, Chongsuvivatwong V, Geater AF, Akhter HH, Winn T. Taking a medical history and using a colour scale during clinical examination of pallor improves detection of anaemia. Trop Med Int Health. 2002; 7: 133-9. PMID: 11841703
9. Setaro M, Sparavigna A. Quantification of erythema using digital camera and computer-based colour image analysis: A multicentre study. Skin Res Technol. 2002; 8: 84-8. PMID: 12060471
10. Yamamoto T, Takiwaki H, Arase S, Ohshima H. Derivation and clinical application of special imaging by means of digital cameras and Image J freeware for quantification of erythema and pigmentation. Skin Res Technol. 2008; 14: 26-34. doi: 10.1111/j.1600-0846.2007.00256.x PMID: 18211599
11. Schneider CA, Rasband WS, Eliceiri KW. NIH Image to ImageJ: 25 years of image analysis. Nat Methods. 2012; 9: 671-5. PMID: 22930834
12. Coffin D. IJ Plugins: DCRaw [Internet]. [cited 3 Oct 2014]. Available: Http://ij-plugins.sourceforge.net/plugins/dcraw/
13. Zhao Y, Tao J, Tu P. Quantitative evaluation of efficacy of photodynamic therapy for port-wine stains using erythema index image analysis. Photodiagnosis Photodyn Ther. 2013; 10: 96-102. doi: 10.1016/j.pdpdt.2012.10.001 PMID: 23769274
14. Suner S, Crawford G, McMurdy J, Jay G. Non-invasive determination of hemoglobin by digital photography of palpebral conjunctiva. J Emerg Med. 2007; 33: 105-11. doi: 10.1016/j.jemermed.2007.02.011 PMID: 17692757
15. Van Poucke S, Haeghen Y Vander, Vissers K, Meert T, Jorens P. Automatic colorimetric calibration of human wounds. BMC Med Imaging. 2010; 10: 7. doi: 10.1186/1471-2342-10-7 PMID: 20298541
16. Vander Haeghen Y, Naeyaert JM. Consistent cutaneous imaging with commercial digital cameras. Arch Dermatol. American Medical Association; 2006; 142: 42-6. doi: 10.1001/archderm.142.1.42 PMID: 16415385
17. Apple. Apple Events-Special Event September 2013 [Internet]. 2013 [cited 11 Sep 2015]. Available: Http://www.apple.com/apple-events/september-2013/
18. LG USA. LG G4 Specs-Screen Size, Resolution & Memory [Internet]. 2015 [cited 11 Sep 2015]. Available: Http://www.lg.com/us/mobile-phones/g4/tech-specs
19. Klasnja P, Pratt W. Healthcare in the pocket: Mapping the space of mobile-phone health interventions. J Biomed Inform. 2012; 45: 184-98. doi: 10.1016/j.jbi.2011.08.017 PMID: 21925288