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1.
Surg Endosc ; 37(7): 5591-5602, 2023 07.
Article in English | MEDLINE | ID: mdl-36344895

ABSTRACT

BACKGROUND: Surgical resection of colorectal liver metastasis (CRLM) provides the best opportunity for prolonged survival. Eligibility for metastasectomy has expanded with technical advancements including parenchymal-sparing hepatectomy (PSH). Meanwhile, enthusiasm for minimally invasive surgery (MIS) has increased, though this approach may be preferentially utilized for technically straightforward cases. The purpose of this study is to characterize modern trends in open versus MIS approaches to partial hepatectomy and anatomic hepatectomy for CRLM within a nationwide cohort. METHODS: The American College of Surgeons' National Surgical Quality Improvement Program (ACS-NSQIP) was used to investigate trends in MIS versus open hepatectomy for CRLM from 2015 to 2019. We examined baseline clinicopathologic and disease-related characteristics and compared trends in treatments over the study period. RESULTS: A total of 7457 patients undergoing hepatectomy for CRLM were identified (1367 MIS, 6090 open). Patients had similar clinicopathologic features between the two groups. Patients undergoing MIS resection less frequently received neoadjuvant therapy (51.1% vs 64.0%, p < 0.001) or concurrent intraoperative ablation (15.0% vs 21.3%, p < 0.001). Patients with tumors < 2 cm (34.9% vs 26.8%, p < 0.001) or only one to two tumors (82.8% vs 65.0%, p < 0.001) more commonly underwent MIS. MIS and open partial hepatectomies both significantly increased over the study period, but open partial hepatectomy increased at a greater rate than MIS (p < 0.001). Rates of anatomic resections have remained the same, with a greater proportion performed using an open approach (34.9% vs 16.4%, p < 0.001). Rates of operations consisting of > 1 concurrent partial hepatectomy are stable, but significantly more likely to be performed open (p < 0.001). CONCLUSIONS: Hepatectomy for CRLM has increased from a rise in partial hepatectomy, potentially translating to increased use of PSH. Current trends suggest MIS approaches appear to be increasing, but selectively implemented for patients with less technically demanding disease characteristics. Educational efforts should be directed towards increased dissemination of parenchymal-sparing MIS techniques for more complex resections.


Subject(s)
Colorectal Neoplasms , Liver Neoplasms , Humans , Hepatectomy/methods , Quality Improvement , Liver Neoplasms/secondary , Minimally Invasive Surgical Procedures , Postoperative Complications/surgery , Colorectal Neoplasms/surgery , Colorectal Neoplasms/pathology , Retrospective Studies
2.
Parasitol Int ; 59(4): 565-70, 2010 Dec.
Article in English | MEDLINE | ID: mdl-20688189

ABSTRACT

Chagas disease affects 8-11 million people, mostly in Latin America. Sequelae include cardiac, peripheral nervous and/or gastrointestinal disorders, thus placing a large economic and social burden on endemic countries. The pathogenesis and the evolutive pattern of the disease are not fully clarified. Moreover, available drugs are partially effective and toxic, and there is no vaccine. Therefore, there is an urgent need to speed up basic and translational research in the field. Here, we applied automated high-content imaging to generate multiparametric data on a cell-by-cell basis to precisely and quickly determine several parameters associated with in vitro infection of host cell by Trypanosoma cruzi, the causative agent of Chagas disease. Automated and manual quantifications were used to determine the percentage of T. cruzi-infected cells in a 96-well microplate format and the data generated was statistically evaluated. Most importantly, this automated approach can be widely applied for discovery of potential drugs as well as molecular pathway elucidation not only in T. cruzi but also in other human intracellular pathogens.


Subject(s)
Fibroblasts/cytology , Fibroblasts/parasitology , Host-Parasite Interactions , Image Processing, Computer-Assisted/methods , Trypanosoma cruzi/pathogenicity , Animals , Automation , Fibroblasts/metabolism , Green Fluorescent Proteins/genetics , Green Fluorescent Proteins/metabolism , Humans , Linear Models , Mice , NIH 3T3 Cells , Software
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