do we need a radiology zoo?

1
Do We Need a Radiology Zoo? There already exists a Galaxy Zoo. Maybe we need a Radiology Zoo, too. The Galaxy Zoo was born at a pub in Oxford in 2007 [1]. Two physicists wrestling with how to classify the 930,000 galaxies in the Sloan Digital Sky Survey came up with Galaxy Zoo, a website where interested amateurs could help out. After an online tuto- rial, amateurs were ready to classify galaxies by whether they were ellip- tical or spiral, the directions in which their arms spiraled, and other partic- ulars. The volunteersresults closely matched those of professional as- tronomers. When they were let loose on all 930,000 galaxies, the volun- teers classied them in a small fraction of the time it would have taken the two physicists. Galaxy Zoo is a collective intelli- gence platform,a digital space where volunteers can help solve a chal- lenging problem [2]. This kind of platform is often associated with an afnity space,a digital community where people with a shared interest post ideas and ask questions. The Galaxy Zoo volunteers made discoveries that led to peer-reviewed publications [3]. The volunteersreward was their own satisfaction and pride in contributing to important science, as well as a strengthened sense of community in the afnity space. Clear scientic importance is a re- quirement if researchers expect enthusiastic and dedicated help on their collective intelligence projects. Also needed are good instructional tools [4], which can be taped lectures, documents, or even direct communi- cation with experts. Could collective intelligence plat- forms help with radiology research? Probably. Consider the example of the National Lung Screening Trial, in which 75,126 thoracic CT scans were performed over 3 rounds of screening, with positive results (a noncalcied nodule 4 mm in diameter or other abnormalities that were suspicious for lung cancer) in 18,146 scans [5]. Radiologists re- viewed CT scans and characterized lung nodules larger than the 4-mm threshold by location, size, margin (spiculated, smooth, poorly dened, indeterminate), and attenuation (soft tissue, ground glass, mixed, uid or water, fat) [6]. The National Lung Screening Trial required large amounts of time from highly paid medical professionals. Given the high monetary and political stakes, the participation of radiologists was essential. However, with modern technology, such as maximum-intensity projection images to facilitate nodule detection and clear instructions on nodule characterization, one wonders whether nonmedical amateurs might have been able to analyze the thousands of nodules in this Radiology Zoo at a fraction of the cost. The importance of the scientic question at the heart of this Radiology Zoo was clear and compelling: we needed to know if early detection could reduce cancer mortality. Vol- unteers for future Radiology Zoos on this same issue could be recruited from a pool of citizen stakeholders: heavy smokers, cancer patients, or family members of cancer victims. Volunteers might be engaged by educational material posted on an afnity space, where discussion threads might range from smoking cessation to regional variation in incidence of fungal granulomas. The success of the Galaxy Zoo project depended on access to images from the Sloan Digital Sky Survey. Open access to medical images would be needed for a Radiology Zoo, and of course, HIPAA requirements for pri- vacy would have to be addressed. Not every question can be addressed with collective intelligence; networked volunteers are not going to come up with a unied eld theory for physics, but they crunched through 930,000 galaxies, and they might put a dent in a work list of 75,126 thoracic CT scans. Tech pundit Clay Shirky calls this force of amateur volunteers the cognitive surplusand estimates that the networked public has 1 trillion hours of free time at its disposal every year [7]. The challenge for medical scien- tists, radiologists included, is to harness this force with compelling and well-designed projects. Coming soon to a Zoo near you? ACKNOWLEDGMENT The author would like to acknowl- edge David Godwin, MD, for his help with manuscript review. REFERENCES 1. Nielsen M. Reinventing discovery: the new era of networked science. Princeton, New Jersey: Princeton University Press; 2012. 2. Gee JP. Feature: games and impact. February 12, 2013. Available at: http://www.astd.org/ Publications/Newsletters/LX-Brieng/LXB- Archives/2013/02/Feature-Games-and-Impact. Accessed August 26, 2013. 3. Galaxy Zoo. The story so far. Available at: http:// www.galaxyzoo.org/#/story. Accessed May 5, 2012. 4. Gee JP. What video games have to teach us about learning and literacy. Presented at: ASU/ GSV Education Innovation Summit; 2012. Available at: http://vimeo.com/channels/3 90827/40633166. Accessed June 21, 2013. 5. The National Lung Cancer Screening Trial Research Team. Reduced lung-cancer mor- tality with low-dose computed tomographic screening. N Engl J Med 2011;365:395-409. 6. Aberle DR, Berg CD, Black WC, et al. The National Lung Screening Trial: overview and study design. Radiology 2011;258:243-53. 7. Shirky C. How cognitive surplus will change the world. TED. June 2010. Available at: http://www.ted.com/talks/clay_shirky_how_ cognitive_surplus_will_change_the_world. html. Accessed August 26, 2013. Douglas Green, MD, University of Washington, Department of Radiology, 1959 NE Pacific Street, Seattle, WA 98195-0001; e-mail: [email protected]. 84 ª 2014 American College of Radiology 1546-1440/13/$36.00 http://dx.doi.org/10.1016/j.jacr.2013.08.007 READING ROOM WITH A VIEW DOUGLAS GREEN, MD

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READING ROOM WITH A VIEW DOUGLAS GREEN, MD

Do We Need a Radiology Zoo?

There already exists a Galaxy Zoo.Maybe we need a Radiology Zoo, too.

The Galaxy Zoo was born at a pubinOxford in 2007 [1]. Twophysicistswrestling with how to classify the930,000 galaxies in the Sloan DigitalSkySurvey cameupwithGalaxyZoo,a website where interested amateurscould help out. After an online tuto-rial, amateurs were ready to classifygalaxies by whether they were ellip-tical or spiral, the directions in whichtheir arms spiraled, and other partic-ulars. The volunteers’ results closelymatched those of professional as-tronomers. When they were let looseon all 930,000 galaxies, the volun-teers classified them in a small fractionof the time it would have taken thetwo physicists.

Galaxy Zoo is a “collective intelli-gence platform,” a digital space wherevolunteers can help solve a chal-lenging problem [2]. This kind ofplatform is often associated with an“affinity space,” a digital communitywhere people with a shared interestpost ideas and ask questions.

The Galaxy Zoo volunteers madediscoveries that led to peer-reviewedpublications [3]. The volunteers’reward was their own satisfaction andpride in contributing to importantscience, as well as a strengthened senseof community in the affinity space.Clear scientific importance is a re-quirement if researchers expectenthusiastic and dedicated help ontheir collective intelligence projects.Also needed are good instructionaltools [4], which can be taped lectures,documents, or even direct communi-cation with experts.

Could collective intelligence plat-forms help with radiology research?

Probably. Consider the exampleof the National Lung Screening Trial,in which 75,126 thoracic CT scanswere performed over 3 rounds ofscreening, with positive results (a

noncalcified nodule �4 mm indiameter or other abnormalities thatwere suspicious for lung cancer) in18,146 scans [5]. Radiologists re-viewed CT scans and characterizedlung nodules larger than the 4-mmthreshold by location, size, margin(spiculated, smooth, poorly defined,indeterminate), and attenuation (softtissue, ground glass, mixed, fluid orwater, fat) [6].

The National Lung Screening Trialrequired large amounts of time fromhighly paid medical professionals.Given the high monetary and politicalstakes, the participation of radiologistswas essential. However, with moderntechnology, suchasmaximum-intensityprojection images to facilitate noduledetection and clear instructions onnodule characterization, one wonderswhether nonmedical amateurs mighthave been able to analyze the thousandsof nodules in this Radiology Zoo at afraction of the cost.

The importance of the scientificquestion at the heart of this RadiologyZoo was clear and compelling: weneeded to know if early detectioncould reduce cancer mortality. Vol-unteers for future Radiology Zoos onthis same issue could be recruitedfrom a pool of citizen stakeholders:heavy smokers, cancer patients, orfamily members of cancer victims.Volunteers might be engaged byeducational material posted onan affinity space, where discussionthreads might range from smokingcessation to regional variation inincidence of fungal granulomas.

The success of the Galaxy Zooproject depended on access to imagesfrom the Sloan Digital Sky Survey.Open access to medical images wouldbe needed for a Radiology Zoo, and ofcourse, HIPAA requirements for pri-vacy would have to be addressed.

Not every question can beaddressedwith collective intelligence;

1546-1440/13/$

networked volunteers are not goingto come upwith a unifiedfield theoryfor physics, but they crunchedthrough 930,000 galaxies, and theymight put a dent in a work list of75,126 thoracic CT scans.

Tech pundit Clay Shirky calls thisforce of amateur volunteers the“cognitive surplus” and estimates thatthe networked public has 1 trillionhours of free time at its disposal everyyear [7].

The challenge for medical scien-tists, radiologists included, is toharness this force with compellingand well-designed projects. Comingsoon to a Zoo near you?

ACKNOWLEDGMENT

The author would like to acknowl-edge David Godwin, MD, for hishelp with manuscript review.

REFERENCES

1. Nielsen M. Reinventing discovery: the newera of networked science. Princeton, NewJersey: Princeton University Press; 2012.

2. Gee JP. Feature: games and impact. February12, 2013. Available at: http://www.astd.org/Publications/Newsletters/LX-Briefing/LXB-Archives/2013/02/Feature-Games-and-Impact.Accessed August 26, 2013.

3. Galaxy Zoo. The story so far. Available at: http://www.galaxyzoo.org/#/story. Accessed May 5,2012.

4. Gee JP. What video games have to teach usabout learning and literacy. Presented at: ASU/GSV Education Innovation Summit; 2012.Available at: http://vimeo.com/channels/390827/40633166. Accessed June 21, 2013.

5. The National Lung Cancer Screening TrialResearch Team. Reduced lung-cancer mor-tality with low-dose computed tomographicscreening. N Engl J Med 2011;365:395-409.

6. Aberle DR, Berg CD, Black WC, et al. TheNational Lung Screening Trial: overview andstudy design. Radiology 2011;258:243-53.

7. Shirky C. How cognitive surplus will changethe world. TED. June 2010. Available at:http://www.ted.com/talks/clay_shirky_how_cognitive_surplus_will_change_the_world.html. Accessed August 26, 2013.

Douglas Green, MD, University of Washington, Department of Radiology, 1959 NE Pacific Street, Seattle, WA 98195-0001;

e-mail: [email protected].

ª 2014 American College of Radiology

36.00 � http://dx.doi.org/10.1016/j.jacr.2013.08.007