A DWI histogram-based nomogram for preoperative prediction of pathogens and antibiotic resistance in perianal abscesses.
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| Title: | A DWI histogram-based nomogram for preoperative prediction of pathogens and antibiotic resistance in perianal abscesses. |
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| Authors: | Wang J; School of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China., Li C; Department of Radiology, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China., Li Y; Department of Traditional Chinese Medicine Anorectal Surgery, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China., Tang Z; School of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China., Jiang N; Department of Clinical Laboratory Medicine, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China., Sun G; School of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China., Wang Y; Shanghai Health Commission Key Lab of Artificial Intelligence (AI)-Based Management of Inflammation and Chronic Diseases, Sino-French Cooperative Central Lab, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China., Huang B; Department of Radiology, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China., Lu W; Department of Radiology, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences, Shanghai, China. wayne_loo@163.com. |
| Source: | International journal of colorectal disease [Int J Colorectal Dis] 2026 Feb 19; Vol. 41 (1), pp. 67. Date of Electronic Publication: 2026 Feb 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 8607899 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-1262 (Electronic) Linking ISSN: 01791958 NLM ISO Abbreviation: Int J Colorectal Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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