Comparison of Two High Dose Rate Brachytherapy Regimes.

Background: Two HDR brachytherapy regimes were compared, 9.5 Gray per fraction for two fractions and 7.5 Gray per fraction for three fractions. Materials and Methods: A total of 80 patients with histologically evident squamous cell carcinoma cervix were taken in the current research after randomization. Radiotherapy dose delivered was 50 Gray/25#/5 weeks with concomitant chemotherapy with weekly cisplatin 35 mg/m2. Following external chemoradiation, patients were randomized into two arms. In Arm A, 40 patients were given high dose rate (HDR) brachytherapy of weekly 7.5 Gray in three fractions over 3 weeks. In Arm B, 40 patients were given high dose rate (HDR) brachytherapy of weekly 9.5 Gray in two fractions over 2 weeks. BED and LQED had been calculated, and the evaluation of response and consequences was examined. Results: In Arm A, BED to point A was 99.38 ± 0.00 and EQD2 to point A was 82.81 ± 0.00. In Arm B, BED to point A was 97.05 ± 0.00 and EQD2 to point A was 80.89 ± 0.00. With respect to rectum in Arm A, BED rectum was 108.66 ± 11.43 and EQD2 rectum was 65.07 ± 6.84. In Arm B, BED rectum was 107 ± 10.83 and EQD2 rectum was 64.21 ± 6.49. Similarly in Arm A, BED bladder was 107.86 ± 10.23 and EQD2 bladder was 64.59 ± 6.13. In arm B, BED bladder was 104.14 ± 10.79 and EQD2 bladder was 62.36 ± 6.46. Conclusion: In a follow-up of 6 months, no statistical significance in terms of local control as well as complications rates in both the arms. Our research demonstrates that two fractions of HDR are comparable with three fractions of HDR.

Single-shell to multi-shell dMRI transformation using spatial and volumetric multilevel hierarchical reconstruction framework.

Single or Multi-shell high angular resolution diffusion imaging (HARDI) has become an important dMRI acquisition technique for studying brain white matter fibers. Existing single-shell HARDI makes it challenging to estimate the intravoxel structure up to the desired resolution. However, multi-shell acquisition (with multiple b-values) can provide higher resolution for the intravoxel structure, which further helps in getting accurate fiber tracts; But, this comes at the cost of larger acquisition time and larger setup. Hence, we propose a novel deep learning architecture for the reconstruction of diffusion MRI volumes for different b-values (degree of diffusion weighting) using acquisitions at a fixed b-value (termed as single-shell) acquisition. This reconstruction has been performed in the spherical harmonics space to better manage varying gradient directions. In this work, we have demonstrated such a reconstruction for b = 3000 s/mm2 and b = 2000 s/mm2 from b = 1000 s/mm2. The proposed Multilevel Hierarchical Spherical Harmonics Coefficients Reconstruction (MHSH) framework takes advantage of contextual information within each slice as well as across the slices by involving Slice Level ReconNet (SLRNet) network and a Volumetric ROI Level ReconNet (VPLRNet) network, respectively. Three-loss functions have been used to optimize network learning, i.e., L1, Adversarial, and Total Variation Loss. Finally, the network is trained and validated on the publicly available HCP data-set with standard qualitative and quantitative performance measures and achieves promising results.

To Evaluate the Role of Positron Emission Tomography-Computerized Tomography in Initial Staging of Carcinoma Breast.

BACKGROUND: Breast cancer is the most common cancer in urban and second common in rural Indian women. In India, in spite of the best treatment available being given to the patients they lose their lives because of paucity of diagnostic aids and lack of an organized breast cancer screening program. Early detection, accurate staging, and initiation of appropriate therapy are the key factors for improving the treatment outcome and prognosis of the disease for the patients. Traditional staging methods include clinical examination, blood tests, chest X-ray, ultrasound of the abdomen, and/or skeletal survey. As these tests lack sensitivity and specificity, these are being scaled down. The hybrid positron emission tomography-computerized tomography (PET-CT) is a unique tool in the field of imaging modalities that combines the effectiveness of PET and CT. This study was undertaken to assess the efficacy and accuracy of PET-CT as a single-session staging modality in the very initial stage itself and if it can replace the conventional means of staging. METHODS: This was a cross-sectional study conducted in the Radiotherapy department at GGS Medical College and Hospital Faridkot from March 2014 to October 2015. 52 patients with newly diagnosed and histopathologically proven carcinoma breast were staged by conventional modalities (clinical examination, blood tests, X-ray chest, mammography, ultrasonography abdomen, skeletal survey) and by 18F-fluorodeoxyglucose (18F FDG) PET/CT. PET-CT images were used for the detection, localization, staging of tumors and detection, evaluation, and diagnosis of metastatic lesions, disease burden and organ function along with treatment planning and planning therapeutic procedures. Following the completion of initial study, the results of 18F FDG PET-CT staging in comparison with conventional staging method were assessed. Along with this, the accuracy, changes in staging of cases of carcinoma breast and cost-effectiveness of 18F-FDG PET-CT were also studied. RESULTS: All the pathologic entities identified by conventional imaging were also perceived with 18F-FDG PET/CT. Therefore, we recommend the use of PET/CT as an important imaging modality for initial diagnosis of carcinoma breast.