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| 1 | A phase Ⅱ trial of celecoxib,irinotecan,5-fluorouraciland leucovorin in patients with unresectable or metastatic colorectal cancer显示文摘 | Blanke CD Benson A Dragovich T | 2002 | Proc Am Soc Clin Oncol2002，2，4： | 1 |
| 2 | The antitumor thioredoxin-linhibitor PX-12 (1-methylpropyl 2-imidazolyl disulfide) decreases thioredoxin-1 and VEGF levels in cancer patient plasma显示文摘 | Baker A F Dragovich T Tate W R | 2006 | Lab Clin Med2006，147，： | 1 |
| 3 | Food of skipjack tuna in the Caribbean Sea and adjacent oceanic waters显示文摘 | Dragovich A | | 0，，02： | 1 |
| 4 | Intrathecal Analgesia显示文摘 | Cohen SP Dragovich A | | 0，，04： | 1 |
| 5 | Randomized, double - blind, placebo - controlled, dose - response, and preclinical safety study of transforaminal epidural etanercept for the treatment of sciati- ca显示文摘 | Cohen SP Bogduk N Dragovich A | 2009 | Anesthesiology2009，110，： | 1 |
| 6 | A phase Ⅱ trial of celecoxib, erinotecan,5-fluorouracil and leucovofin in patients with unresectable or metastatic colorectal cancer显示文摘 | Blanke CD Benson A Dragovich T | 2002 | Proc Am Soc Clin Oncol2002，21，4： | 1 |
| 7 | Estimating catchment-scale annual soil loss in managed native eucalypt forests,Australia显示文摘 | Jamshidi R Dragovich D Webb A A | 2013 | Forest Ecology and Management2013，304，： | 1 |
| 8 | A phase Ⅱ trial of celecoxib, irinotecan, 5-fluorouracil and leucovorin in patients with unresectable or metastatic colorectal cancer显示文摘 | Blanke CD Benson A Dragovich T | 2002 | Proc Am Soc Clin Oncol2002，21，4： | 1 |
| 9 | A phase II trial of celecoxib,irinotecan, 5-fluorouracil and leucovorin in patients with unresectable or metastatic colorectal cancer 显示文摘 | Blanke CD Benson A Dragovich T et d | 2002 | Proc Am Soe Clin Oncol2002，21，4： | 1 |
| 10 | The antitumor thioredoxin-1 inhibitor PX-12 ( 1-methylpropyl 2-imidazolyl disulfide) decreases thioredoxin-1 and VEGF levels in cancer patient plasma显示文摘 | BAKER A F DRAGOVICH T TATE W R | 2006 | Lab Clin Med2006，147，2： | 1 |
| 11 | Structure-assisted design of mechanism-based irreversible inhibitors of human rhinovirus 3C protease with potent antiviral activity against multiple rhinovirus serotypes显示文摘 | DRAGOVICH P S WEBBER S E | 1999 | Proc Natl Acad Sci USA1999，96，11： | 1 |
| 12 | Erlotinib + gemcitabine in patients with unresectable pancreatic carcinoma:Results from a phase IB trial显示文摘 | Porterfield BW Dragovich T Patnaik A | 2004 | Journal of Clinical Oncology2004，22，14： | 1 |
| 13 | The antitumor thioredoxin-1 inhibitor PX-12 (1- methylpropyl-2-imidazolyl disulfide) decreases thioredoxin-1 and VEGF levels in cancer patient plasma显示文摘 | BAKER A F DRAGOVICH T TATE W R | 2006 | J Lab Clin Med2006，147，2： | 1 |
| 14 | The food of skipjack and yellowfin tunas in the Atlantic Ocean显示文摘 | Dragovich A | 1970 | Fish Bull1970，68，3： | 1 |
| 15 | Comparative study of food of skipjack and yellowfin tunas off the coast of West Africa 显示文摘 | Dragovich A Potthoff T | 1972 | Fishery Bulletin1972，70，4： | 1 |
| 16 | Methods for improving colorectal cancer annotation efficiency for artificial intelligence-observer training显示文摘BACKGROUND Missing occult cancer lesions accounts for the most diagnostic errors in retrospective radiology reviews as early cancer can be small or subtle,making the lesions difficult to detect.Secondobserver is the most effective technique for reducing these events and can be economically implemented with the advent of artificial intelligence(AI).AIM To achieve appropriate AI model training,a large annotated dataset is necessary to train the AI models.Our goal in this research is to compare two methods for decreasing the annotation time to establish ground truth:Skip-slice annotation and AI-initiated annotation.METHODS We developed a 2D U-Net as an AI second observer for detecting colorectal cancer(CRC)and an ensemble of 5 differently initiated 2D U-Net for ensemble technique.Each model was trained with 51 cases of annotated CRC computed tomography of the abdomen and pelvis,tested with 7 cases,and validated with 20 cases from The Cancer Imaging Archive cases.The sensitivity,false positives per case,and estimated Dice coefficient were obtained for each method of training.We compared the two methods of annotations and the time reduction associated with the technique.The time differences were tested using Friedman’s two-way analysis of variance.RESULTS Sparse annotation significantly reduces the time for annotation particularly skipping 2 slices at a time(P<0.001).Reduction of up to 2/3 of the annotation does not reduce AI model sensitivity or false positives per case.Although initializing human annotation with AI reduces the annotation time,the reduction is minimal,even when using an ensemble AI to decrease false positives.CONCLUSION Our data support the sparse annotation technique as an efficient technique for reducing the time needed to establish the ground truth. | Matthew Grudza Brandon Salinel Sarah Zeien Matthew Murphy Jake Adkins Corey T Jensen Curtis Bay Vikram Kodibagkar Phillip Koo Tomislav Dragovich Michael A Choti Madappa Kundranda Tanveer Syeda-Mahmood Hong-Zhi Wang John Chang | 2023 | World Journal of Radiology2023，15，12： | 0 |
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