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Allen, J.D. and Esquela-Kerscher, A., 2013. Gongylonema pulchrum infection in a resident of Williamsburg, Virginia, verified by genetic analysis. The American journal of tropical medicine and hygiene, 89(4), pp.755-757.
The American Cancer Society offers programs and services to help you during and after cancer treatment. Below are some of the resources we provide. We can also help you find other free or low-cost resources available.
Some anal cancers cause no symptoms at all. But symptoms of anal cancer can include changes in your poop, bleeding, itching, and pain or a lump at the anal opening. The doctor will ask you questions about your health and do a physical exam. The doctor will also look at your anus and may put a gloved finger inside to check for lumps. (This is called a rectal exam. The rectum is the part of the large intestine that connects to the anus.)
Endoscopy: For this test, a flexible (not firm) tube with a tiny video camera and light on the end (called an endoscope) is put into the anus, rectum, and sometimes the entire colon to look inside. This flexible tube is much longer than the anoscope and might be used to make sure that an anal cancer symptom, such as bleeding, is not coming from another area like the rectum or colon. It can also be used to take out cells (a biopsy) from inside these areas. You will be given medicine to stay drowsy or asleep during this test.
Ultrasound: For this test, a small thin probe is put into the anus and rectum. This can be uncomfortable, but should not hurt. The probe gives off sound waves to make pictures of the inside of the body. This test can be used to see how deep the cancer has grown into the tissues around the anus.
CT scan or CAT scan: A CT scan is like an x-ray, but the pictures of your insides are more detailed. CT scans can also be used to help do a biopsy and can show if the cancer has spread.
MRI scan: This test uses radio waves and strong magnets instead of x-rays to make detailed pictures. This test may be used to check the nearby lymph nodes or the liver for cancer spread.
In a biopsy, the doctor takes out a small piece of tissue where the cancer seems to be. The tissue is checked for cancer cells. A biopsy is the only way to know for sure if you have cancer. For anal cancer, a biopsy is most often done during an endoscopy. If the tumor is very small and is only on the lining of the anus, the doctor may be able to take out all of the tumor during the biopsy.
If you have anal cancer, the doctor will want to find out how far it has spread. This is called staging. Your doctor will want to find out the stage of your cancer to help decide what type of treatment is best for you.
Anyone with cancer, their caregivers, families, and friends, can benefit from help and support. The American Cancer Society offers the Cancer Survivors Network (CSN), a safe place to connect with others who share similar interests and experiences. We also partner with CaringBridge, a free online tool that helps people dealing with illnesses like cancer stay in touch with their friends, family members, and support network by creating their own personal page where they share their journey and health updates.
Air circulation within the free tropospheric (FT) is a global transport vector for many anthropogenic pollutants including mercury, lead and carbon particulates. The lack of friction from surface topography results in elevated wind speeds and a greater potential for long-distance transport of particle matter. Continental dust that enters the FT has been recorded to circuit the globe, illustrating the extensive transport distances of particulate matter entrained into the FT15. If MP is found to occur in the FT, this would suggest that atmospheric MP pollution has the potential to influence the most remote and isolated areas of the globe through FT transport, and that local atmospheric MP pollution may influence a spatial extent far beyond the regional area if the MP are entrained into the FT. With knowledge of FT MP pollution and FT atmospheric MP transport, the presence of MP in the Arctic, Antarctic and remote mountain regions could be explained, and back-trajectory and dispersion modelling of FT MP particles may identify the possible remote area MP pollution sources.
This study presents samples collected at the high altitude long-term monitoring station, Pic du Midi (PDM) Observatory in the French Pyrenees. PDM is defined as a clean station due to its limited influence by local climatic conditions or the environment16. PDM has only occasional planetary boundary level (PBL) influence from anabatic (i.e., upslope or valley) winds17,18,19, making it an ideal (and established) site for FT monitoring and analysis16,17,20. In this work, we evidence the occurrence, quantity and characteristics of MP at this high elevation, in the FT air masses and its transport pathways. Knowledge of PBL MP pollution illustrates regional atmospheric transport (from key MP emission sources such as cities, agriculture activities, industry, landfills to remote areas3,5,7,8,14,21), however, evidence of MP in the FT support long-range, trans-continental and trans-oceanic MP transport.
MP particles were comprised of polyethylene (LD/HDPE), polystyrene (PS), polyvinylchloride (PVC), polyethylene terephthalate (PET) and polypropylene (PP) (in order of abundance 44%,18%,15%,14%,10%). The polymer type did not correlate significantly with fibre or fragment quantities in the samples or their relative particle-size distribution, with all samples presenting a mix of the five polymer types analysed in the study. This suggests that polymer type or density may not be a key variable influencing MP occurrence at PDM within this study period (however source availability is potentially important).
The mechanics and dynamics of MP atmospheric transport are relatively unknown and un-evidenced. The in-cloud and below-cloud scavenging coefficients have tentatively been considered for tyre and brake wear in a recent study (using statistical assumptions due to lack of physical parameterisation14), tyre and brake wear MP particles that are notably more dense than those analysed in the PDM atmospheric study. The wet and dry deposition rate, triboelectric effect, chemical and physical particle interaction in the atmosphere, the influence of humidity, temperature, acidity, precipitation and surface vegetation are all currently unquantified or characterised. Future research is needed to characterise and parameterise MP atmospheric transport dynamics and to identify the key drivers for entrainment, wet and dry deposition and long-distance atmospheric transport. This future parameterisation and transport characterisation will enable more detailed modelling, including particle dispersion analysis, that may provide more detailed insight into atmospheric MP sources and transport.
Three 30-mm diameter circular areas (stamp outs, randomly selected) of the quartz filter were analysed for MP. There is a necessary assumption that the TISCH high-volume sampler collects MP evenly across the filter in a similar manner to Hg and PM10 particulates. The three 30-mm diameter sub-samples were removed from the quartz filter sheet using a kiln sterilised stainless-steel circular stamp in a positively pressurised room and under a class 100 flow hood. The sub-samples, for MP samples and field blanks, were then placed in kiln sterilised aluminium envelopes and stored in a glass container in dark, refrigerated conditions.
Filters were then analysed by confocal microscopy and imaging to provide a secondary or validation of particle count (actual reported particle counts are µRaman results) and particle dimension dataset similar to the visual method defined in Brahney et al.7. Due to the small size of the particles in the sample dataset fibres were defined as elongated particles with a length to width ratio of 3:1. All other particles are counted as general fragments (a compilation of fragments, films and foams), with no definition provided between fragments, films and foams to limit potential errors in visual identification. Fragment and fibre size and the count was completed using ImageJ (FIJI)44 covering the full extent of the 25-mm aluminium oxide filters.
Local meteorological data was publicly available through the P2OA database, generally in hourly format. The sample MP counts, polymer sample compositions and fibre:fragment content of each sample were analysed relative to the mean, mode, maximum, minimum and variance of each sample period (ensuring shutdown periods were not included). Independence and correlation for parametric and non-parametric datasets were considered (as appropriate to the individual dataset) to identify any statistically significant trends (Pearson or Spearmen U tests) and the MP dataset transformation by Log10 was used where datasets were non-parametric to provide additional insight.
HYSPLIT back-trajectory elevations were extracted from individual HYSPLIT model runs and analysed to define the 25th, 50th, 75th, maximum and minimum elevations. Extracted HYSPLIT 3D datasets were converted to ArcGIS (ESRI) shape files and used to calculate trajectory distances from PDM relative to elevation and trajectory duration (Fig. 2 and Supplementary Figs. 1 and 2). FLEXPART dispersion model results were extracted to present emission sensitivity (PES), trajectories, mixing depth elevations and particle content (%) relative to time and location. The PBL/FT mixing points were extracted from these datasets and mapped relative to the respective sample period using ArcGIS (ESRI) (Fig. 3a). 59ce067264
This post was a great read, providing a well-rounded overview of the topic with valuable insights and practical takeaways.