A Prospective Study Comparing Dosimetry between Computed Tomography (CT) based Radiation Planning and Positron Emission Computed Tomography (PET-CT) based Radiation Planning in Treatment of Non-Metastatic Non Small Cell Lung Carcinoma.

BACKGROUND: To evaluate dosimetry between CT based radiation planning and PET-CT based radiation planning. MATERIAL & METHODS: Histologically proven 40 cases of locally advanced non-small cell carcinoma of lung were accrued for the prospective study. Contrast enhanced planning CT images and PET images were acquired. Target volume delineation, organs of interest & radiation planning were performed in Eclipse V 14.5 followed by dosimetric comparison among GTV, PTV and OARs. A p-value of <0.05 was considered significant. RESULTS: The mean of GTV were 141.18 ± 119.76 cc in CT and 115.54 ± 91.02 cc in PET-CT based and the difference was statistically significant (p=0.03). The mean of CTV were 313.91 ± 180.87 cc in CT and 260.81 ± 148.83 cc in PET-CT based and the difference was statistically significant (p=0.03). The contralateral lung mean dose was statistically very significant (p<0.01) among both the 3D-CRT plans which were 8.49 Gy in CECT based planning and 9.53 Gy in PET CT based planning. The heart mean dose was also statistically significant (p=0.03) among the plans which were 17.90 Gy in CECT based planning and 17.06 Gy in PET CT based planning. Mann-Whitney U test showed the CT based PTV D90 was 58.20 Gy vs 57.58 Gy in PET CT based planning (p=0.02). PTV V95 were also comparable in both of the plans (p=0.02). CONCLUSIONS: GTV measured using PET-CT, may be greater or lesser than the CECT-based GTV. PET-CT-based contouring is more accurate for identifying tumour margins and new lymph node volumes.

Barriers and explanatory mechanisms in diagnostic delay in four cancers - A health-care disparity?

INTRODUCTION: Most cancer disparities research has traditionally focused on two key outcomes, access to appropriate treatment and survival, but they do not encompass important aspects of patient-centered care such as the timeliness of diagnosis and treatment. Prolonged time intervals between symptom onset and treatment initiation increase the risk of poorer clinical outcomes and are associated with worse patient experience of subsequent cancer care. This study aims to assess the delay from symptom onset to the start of definitive treatment and to identify the possible contributory factors and its impact on response in cancers of head and neck, breast, cervix, and lung. MATERIALS AND METHODS: This was a retrospective study of patients enrolled between 2015 and 2017. A questionnaire was filled in about socioeconomic aspects, patient history, tumor data, professionals who evaluated the patients, and the respective time delays. Statistical test included Mann-Whitney U test, univariate and multivariate test, and one-way ANOVA to evaluate the correlations. RESULTS: Stage migration was significant with patient delay (P < 0.01). In head and neck squamous cell carcinoma (HNSCC) and Carcinoma lung, a significant correlation was found between referral delay and residence (P < 0.01) and treatment delay and reason for referral (HNSCC only) (P = 0.04). Referral delay and treatment delay were correlated to response in breast and cervix, respectively (P < 0.01). CONCLUSION: Social awareness, regularly updating primary care physicians about alarming symptoms of cancer, developing guidelines to identify these symptoms, promoting continuity of care, and enabling access to specialist expertise through prompt referral should all help prevent delays in cancer diagnosis.

A case of akathisia induced by escitalopram: case report & review of literature.

Although cases of Selective Serotonin Reuptake Inhibitor (SSRI) induced akathisia have often been reported in literature, this adverse effect has not adequately been mentioned in major pharmacology textbooks. As a result, SSRIinduced akathisia is very frequently under-recognized. A review of literature showed that almost all frequently used SSRIs such as Fluvoxamine, Fluoxetine, Sertraline, Citalopram have been reported to be causing akathisia. SSRI-induced restless legs syndrome and movement disorders have also been reported. However, Escitalopram-induced akathisia is rare. In our review of literature, we could find only one single case of Escitalopram-induced severe akathisia. And this specific SSRI drug has rarely been implicated with occurrence of restless legs syndrome and extra-pyramidal side-effects like dytonia etc. Here, we present a case of Escitalopram-induced severe akathisia - a 53year old female, who had developed severe akathisia after taking Escitalopram for a few days. According to the Barnes Akathisia Rating Scale (BARS), her Global Clinical Assessment of Akathisia Score was 5 i.e. severe akathisia. As per Naronjo Adverse Drug Reaction Scale the probability of association of this adverse reaction with Escitalopram was 7 (i.e. probable). Her symptoms continued in spite of prompt discontinuation of the drug. But, she improved rapidly with the use of Propranolol and Clonazepam. On the last follow-up, she was free from any symptoms. As new generation antidepressants are rarely associated with extra-pyramidal symptoms, the recognition of such adverse effects requires a high index of suspicion. Early recognition of the symptoms and discontinuation of the offending agent along with supportive therapy like a short course of benzodiazepines, beta-adrenergic antagonists or anticholinergics may rapidly relieve the patient from this distressing symptom.