Search Results

-level factors related to the decision to use surveillance imaging are not well understood. Several studies have found that physician demographic and practice characteristics correlate with surveillance testing use in breast and colon cancers. 7 , 10 , 11

myelofibrosis (MF). 3 Bone marrow (BM) specimens from these patients usually show characteristic findings, including atypical megakaryocytic hyperplasia with or without reticulin fibrosis. JAK2 V617F mutation also has been reported in chronic myelomonocytic

included in the study when the claim included an indication of breast cancer (ICD-9 codes 174.0–174.9). Patient characteristics examined included age group, whether RT was received, whether hormonal therapy was received, payer class, and MSA. Patients

on characteristic radiographic imaging on dynamic contrasted-enhanced CT or MRI. Most of these diagnostic imaging studies are ordered by primary care physicians, who are at the beginning of the cancer care continuum and must not only discern an

stage IV disease without AGMs were identified. Patients without a valid research consent, incomplete medical records, or inadequate follow-up information were excluded. The following patient and tumor characteristics were collected from electronic

studies grouped colon and rectal surgeries together 3 , 4 or only examined colon surgery, 5 , 6 whereas patient characteristics, complication risks, and clinical outcomes are clearly different for colon and rectal cancers. 9 Another important

Incidental pulmonary embolisms (IPE) are commonly discovered in cancer patients during their cancer staging and surveillance imaging studies. Examining the clinical characteristics and outcomes of these incidents in cancer patients may guide the

characteristics and outcomes. Categorical variables were reported as absolute number and percent, and continuous variables were reported as mean with SD or median with interquartile range (IQR). Comparison testing was undertaken using the chi-square test for

baseline characteristics of the cohort and outcomes, stratified by distance category and geographic region of residence. Patients were linked to geographic regions using the PCCF. Choropleth maps of the primary outcomes across each geographic region

. Statistical Analysis All completed surveys were analyzed. There were no additional inclusion or exclusion criteria. A predefined statistical plan was used to minimize inflation of type I error. Patient characteristics and survey responses for office visit