Early prediction of cancer progression by depth-resolved nanoscale mapping of nuclear architecture from unstained tissue specimens

Cancer Research

Volumn 75, Issue 22, 2015, Pages 4718-4727

  Uttam, Shikhar ^a   Pham, Hoa V ^a   LaFace, Justin ^a   Leibowitz, Brian ^b,c   Yu, Jian ^b,c   Brand, Randall E ^b   Hartman, Douglas J ^b   Liu, Yang ^a,b,c  

^a UNIVERSITY OF PITTSBURGH   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF PITTSBURGH CANCER INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; CANCER DIAGNOSIS; CANCER GROWTH; CANCER RISK; COLITIS; COLON BIOPSY; COLON CANCER; COLON CARCINOGENESIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIFFRACTION; DYSPLASIA; EARLY DIAGNOSIS; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMAGE RESOLUTION; IMAGING AND DISPLAY; MOUSE; NANOANALYSIS; NANOSCALE NUCLEAR ARCHITECTURE MAPPING; NONHUMAN; PATHOGENESIS; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; SENSITIVITY ANALYSIS; ULCERATIVE COLITIS; VALIDATION PROCESS; ADENOCARCINOMA; ANIMAL; COLONIC NEOPLASMS; COMPUTER ASSISTED DIAGNOSIS; DISEASE COURSE; EARLY CANCER DIAGNOSIS; NANOTECHNOLOGY; OPTICAL COHERENCE TOMOGRAPHY; PATHOLOGY; PRECANCER; PROCEDURES;

ADENOCARCINOMA; ANIMALS; COLITIS, ULCERATIVE; COLONIC NEOPLASMS; DISEASE PROGRESSION; EARLY DETECTION OF CANCER; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NANOTECHNOLOGY; PRECANCEROUS CONDITIONS; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 84954505982     PISSN: 00085472     EISSN: 15387445     Source Type: Journal    
DOI: 10.1158/0008-5472.CAN-15-1274     Document Type: Article

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