Utility of quantitative pathologic analysis of pT1 colorectal carcinomas to improve prediction of lymph node metastasis.

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Bibliographic Details
Title: Utility of quantitative pathologic analysis of pT1 colorectal carcinomas to improve prediction of lymph node metastasis.
Authors: Nayak P; Department of Pathology and Laboratory Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA., Kosiorek H; Department of Quantitative Health Sciences, Mayo Clinic, Phoenix, AZ, USA., Pai RK; Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA., Shivji S; Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, 600 University Ave, Toronto, ON, Canada., Hagen CE; Department of Pathology and Laboratory Medicine, Mayo Clinic, Rochester, MN, USA., Graham RP; Department of Pathology and Laboratory Medicine, Mayo Clinic, Rochester, MN, USA., Buchanan DD; Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia.; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia.; Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, VIC, Australia., Jenkins MA; University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, VIC, Australia.; Melbourne School of Population and Global Health, Centre for Epidemiology and Biostatistics, The University of Melbourne, Carlton, VIC, Australia., Phipps AI; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.; Department of Epidemiology, University of Washington, Seattle, WA, USA., Le Marchand L; Population Sciences in the Pacific Program (Epidemiology), University of Hawaii, Honolulu, HI, USA., Wu C; Division of Medical Oncology, Department of Medicine, Mayo Clinic, Phoenix, AZ, USA., Samadder NJ; Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Phoenix, AZ, USA., Swallow CJ; Sinai Health System, Lunenfeld-Tanenbaum Research Institute, Toronto, ON, Canada.; Department of Surgical Oncology, Princess Margaret Cancer Centre, Mount Sinai Hospital, Toronto, ON, Canada.; Division of General Surgery, Department of Surgery, University of Toronto, Toronto, ON, Canada.; Institute of Medical Science, University of Toronto, Toronto, ON, Canada., Gallinger SJ; Sinai Health System, Lunenfeld-Tanenbaum Research Institute, Toronto, ON, Canada.; Ontario Institute for Cancer Research, Toronto, ON, Canada.; Surgical Oncology Program, University Health Network, Toronto, ON, Canada., Grant RC; Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada., Westerling-Bui T; Aiforia Inc., Cambridge, MA, USA., Conner J; Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, 600 University Ave, Toronto, ON, Canada.; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada., Cyr DP; Sinai Health System, Lunenfeld-Tanenbaum Research Institute, Toronto, ON, Canada.; Institute of Medical Science, University of Toronto, Toronto, ON, Canada., Kirsch R; Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, 600 University Ave, Toronto, ON, Canada.; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada., Pai RK; Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, 600 University Ave, Toronto, ON, Canada. rish.pai@sinaihealth.ca.; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada. rish.pai@sinaihealth.ca.
Source: Virchows Archiv : an international journal of pathology [Virchows Arch] 2026 Jun; Vol. 488 (6), pp. 1319-1330. Date of Electronic Publication: 2025 Oct 08.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9423843 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2307 (Electronic) Linking ISSN: 09456317 NLM ISO Abbreviation: Virchows Arch Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-2307
DOI:10.1007/s00428-025-04284-2