TY - JOUR
T1 - Feasibility of Large-Scale Identification of Sessile Serrated Polyp Patients Using Electronic Records
T2 - A Utah Study
AU - Affolter, Kajsa
AU - Gligorich, Keith
AU - Samadder, Niloy Jewel
AU - Samowitz, Wade S.
AU - Curtin, Karen
N1 - Publisher Copyright:
© 2017, Springer Science+Business Media New York.
PY - 2017/6/1
Y1 - 2017/6/1
N2 - Background/Aims: The serrated pathway accounts for 15–25% of sporadic colorectal cancer (CRC). In our study, we sought to accurately characterize sessile serrated polyps (SSP) in a population by electronically interrogating colonoscopy patients’ endoscopy and pathology reports using a rules-based text search of pre-defined SSP-related terms. To this aim, we compared a sample of putative SSP and hyperplastic polyps (HP) using our algorithm to a determination of SSP or HP by pathologist and molecular examination to determine the feasibility of large-scale identification of SSP in electronic medical records. Methods: In 23,990 endoscopy reports from colonoscopies with pathology performed at a University of Utah Healthcare facility in 2000–2012, we identified serrated lesions and categorized each as putative SSP or HP using a text search algorithm. We obtained 93 tissue samples for histologic and molecular analysis. Results: Serrated polyps were categorized as putative SSP (N = 920) and putative HP (N = 7159) by text search algorithm. Histologic examination of 93 samples identified 37 SSP, 11 probable SSP, and 45 HP. Of 26 putative SSP, 25 were SSP/probable SSP (96%) by histology. Of 67 putative HP, 44 were HP (66%) by histology. Reducing size criterion from ≥1 to ≥5 mm in the search algorithm caused improved sensitivity (77.1%) without decline in specificity (97.8%). Conclusions: A simple rules-based search to identify SSP provides “proof of principle” that SSP can be identified in a large electronic record set. Pilot data indicate defining large, right-sided polyps as ≥5 mm provides adequate sensitivity to detect SSP from electronic records while maintaining high specificity.
AB - Background/Aims: The serrated pathway accounts for 15–25% of sporadic colorectal cancer (CRC). In our study, we sought to accurately characterize sessile serrated polyps (SSP) in a population by electronically interrogating colonoscopy patients’ endoscopy and pathology reports using a rules-based text search of pre-defined SSP-related terms. To this aim, we compared a sample of putative SSP and hyperplastic polyps (HP) using our algorithm to a determination of SSP or HP by pathologist and molecular examination to determine the feasibility of large-scale identification of SSP in electronic medical records. Methods: In 23,990 endoscopy reports from colonoscopies with pathology performed at a University of Utah Healthcare facility in 2000–2012, we identified serrated lesions and categorized each as putative SSP or HP using a text search algorithm. We obtained 93 tissue samples for histologic and molecular analysis. Results: Serrated polyps were categorized as putative SSP (N = 920) and putative HP (N = 7159) by text search algorithm. Histologic examination of 93 samples identified 37 SSP, 11 probable SSP, and 45 HP. Of 26 putative SSP, 25 were SSP/probable SSP (96%) by histology. Of 67 putative HP, 44 were HP (66%) by histology. Reducing size criterion from ≥1 to ≥5 mm in the search algorithm caused improved sensitivity (77.1%) without decline in specificity (97.8%). Conclusions: A simple rules-based search to identify SSP provides “proof of principle” that SSP can be identified in a large electronic record set. Pilot data indicate defining large, right-sided polyps as ≥5 mm provides adequate sensitivity to detect SSP from electronic records while maintaining high specificity.
KW - Colonoscopy
KW - Receiver operating characteristic curve
KW - Sessile serrated adenoma/polyp
KW - Text mining
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U2 - 10.1007/s10620-017-4543-9
DO - 10.1007/s10620-017-4543-9
M3 - Article
C2 - 28315031
AN - SCOPUS:85015710271
SN - 0163-2116
VL - 62
SP - 1455
EP - 1463
JO - Digestive diseases and sciences
JF - Digestive diseases and sciences
IS - 6
ER -