Demographic Pattern of Cervical Cancer Patients Seen in a Radiotherapy Treatment Facility in Northern Nigeria

2017 ◽  
Vol 15 (3) ◽  
Author(s):  
Ismail Hadi Zubairu ◽  
Hadiza Enias Theyra ◽  
Tumba Nuhu
Author(s):  
Brijesh Goswami ◽  
Rakesh Kumar Jain ◽  
Suresh Yadav ◽  
Sunil Kumar ◽  
Saji Oommen ◽  
...  

Introduction: The method of radiotherapy has moved away from two-dimensional and three-dimensional conformal radiotherapy towards Volumetric-Modulated Arc Therapy (VMAT) for advanced carcinomas. VMAT treatments often result in significant clinical advantage, particularly when concave dose distributions are required as is often the situation since these tumours are in close proximity to several critical structures. Aim:To investigate the potential clinical role of volumetric arc therapy on cervical cancer patients and its comparison with fixed-field Intensity-Modulated Radiotherapy (IMRT) was used as a benchmark. Materials and Methods: Retrospectively, radiotherapy treatment plans of fifteen cervical cancer patients were selected for this study. These patients were previously treated with sliding window IMRT techniques during January 2020 to November 2020. For dosimetric comparison of sliding window IMRT techniques with RapidArc, a new set of plans were created using VMAT/RapidArc technique. For each patient two plans were generated and in this way total 30 plans were analysed. The prescription dose to Planning Target Volume (PTV) was 50.4 Gy in 28 fractions (1.8Gy/fraction) for the 6 MV photon beam. Comparison of each plan done on the basis of Organs At Risk (OARs) sparing, coverage index (C), Conformity Index (CI), Homogeneity Index (HI), dose Gradient Index (GI), and Unified Dosimetry Index (UDI). This study utilised UDI scoring for evaluation and comparison of RapidArc and IMRT plans. Treatment Time (TT) for patient comfort and the number of Monitor Units (MUs) for long-term side-effects was also taken into consideration. A paired two-tailed t-test was executed for the dosimetric study of volumetric arc modulation with RapidArc and its comparison with the IMRT technique in the radiotherapy treatment of cervical cancer patients. All the collected data was analysed using Statistical Package for Social Sciences (SPSS) version 20.0. The (p-value<0.05) was contemplated for the level of statistical significance. Results: Comparable target coverage and better sparing of OARs were achieved with the RapidArc technique in comparison to IMRT. As was evident with results of present study, the values of CI (1.55±0.07), HI (1.07±0.07), GI (0.98±0.01) and UDI (1.25±0.11) of RapidArc technique showed significant difference from respective values of IMRT Technique (1.67±0.06, 1.10±0.06, 0.96±0.01 and 1.38±0.13). Values of MUs (1560.47±52.16) and treatment time (3.71±0.73 mins) were significantlly high in IMRT technique as compared to RapidArc technique (542.33±51.09 and 2.39±0.35 mins respectively). Conclusion: From this study, it is clear that a similar planning goal can be achieved by RapidArc in comparison to fixed-field IMRT with less normal organ toxicity. RapidArc is a faster and precise treatment technique. The most significant change comes to see in the number of MUs and TT, which is much lesser in RapidArc.


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Travis T. Sims ◽  
Molly B. El Alam ◽  
Tatiana V. Karpinets ◽  
Stephanie Dorta-Estremera ◽  
Venkatesh L. Hegde ◽  
...  

AbstractDiversity of the gut microbiome is associated with higher response rates for cancer patients receiving immunotherapy but has not been investigated in patients receiving radiation therapy. Additionally, current studies investigating the gut microbiome and outcomes in cancer patients may not have adjusted for established risk factors. Here, we sought to determine if diversity and composition of the gut microbiome was independently associated with survival in cervical cancer patients receiving chemoradiation. Our study demonstrates that the diversity of gut microbiota is associated with a favorable response to chemoradiation. Additionally, compositional variation among patients correlated with short term and long-term survival. Short term survivor fecal samples were significantly enriched in Porphyromonas, Porphyromonadaceae, and Dialister, whereas long term survivor samples were significantly enriched in Escherichia Shigella, Enterobacteriaceae, and Enterobacteriales. Moreover, analysis of immune cells from cervical tumor brush samples by flow cytometry revealed that patients with a high microbiome diversity had increased tumor infiltration of CD4+ lymphocytes as well as activated subsets of CD4 cells expressing ki67+ and CD69+ over the course of radiation therapy. Modulation of the gut microbiota before chemoradiation might provide an alternative way to enhance treatment efficacy and improve treatment outcomes in cervical cancer patients.


2006 ◽  
Vol 16 (Suppl 1) ◽  
pp. 179-182 ◽  
Author(s):  
M. Ueda ◽  
Y. Terai ◽  
K. Kanda ◽  
M. Kanemura ◽  
M. Takehara ◽  
...  

Single-nucleotide polymorphism at −670 of Fas gene promoter (A/G) was examined in a total of 354 blood samples from normal healthy women and gynecological cancer patients. They consisted of 95 normal, 83 cervical, 108 endometrial, and 68 ovarian cancer cases. Eighty-three patients with cervical cancer had statistically higher frequency of GG genotype and G allele than 95 controls (P= 0.0353 and 0.0278, respectively). There was no significant difference in the genotype or allele prevalence between control subjects and endometrial or ovarian cancer patients. The Fas −670 GG genotype was associated with an increased risk for the development of cervical cancer (OR = 2.56, 95% CI = 1.08–6.10) compared with the AA genotype. The G allele also increased the risk of cervical cancer (OR = 1.60, 95% CI = 1.05–2.43) compared with the A allele. Germ-line polymorphism of Fas gene promoter −670 may be associated with the risk of cervical cancer in a Japanese population.


2021 ◽  
pp. 1-9
Author(s):  
Sahar Ahangari ◽  
Naja Liv Hansen ◽  
Anders Beck Olin ◽  
Trine Jakobi Nøttrup ◽  
Heidi Ryssel ◽  
...  

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