[en] The topics of the conference are divided in five thematic scientific sessions - Radiation Protection & Dosimetry, Nuclear Medicine Practices & Regulations, Radiochemistry & Radio-pharmacy, Instrumentation & Image processing, Artificial Intelligence (AI). The theoretical aspects and newer advance in the field which will provide a great platform to improve our knowledge

[en] Nuclear medicine involves the handling of unsealed radioactive materials which causes external and internal contamination of staff and patients. The presence of radioactive substances in or on the human body or other places where they are undesirable or could be harmful is known as contamination. The magnitude of radiation contamination depends on the radionuclide, its activity, and the type of work within the department in which the person is involved. The radioactive contamination in a laboratory is minimised by: in the laboratory, it needs careful design, selecting proper handling equipment, and following correct operating procedures. In addition to strict management, disposal of radioactive waste, good housekeeping, and routine contamination monitoring, Smoking, consuming food and drinks, chewing pans and gums, using cosmetics, etc. must be prohibited in laboratories

[en] This talk will discuss the use of nuclear medicine methods in brain imaging and review the recent literature on artificial intelligence (AI) for dementia diagnosis. The following topics will be introduced: Dementia prevalence and diagnostic methods SPECT and PET imaging for dementia diagnosis, quantitative analysis of brain scans AI: machine learning and deep learning neuroimaging applications of AI

[en] Rectosigmoid carcinoma is a common malignant pathology which requires multimodality approach of management. The treatment depends on the stage of cancer during detection, ranging from surgery, loco regional radiotherapy and even systemic chemotherapy in the presence of distant metastatic disease. FDG PET-CT is very important in the staging of colorectal malignancies as it can detect rare distant metastatic disease which might not be possible with conventional regional radiological imaging modalities

[en] Thyroid nodules are a common occurrence in the general population, and the incidental ones are often referred for ultrasound (US) evaluation. In order to save some bucks and form the trouble to visit an ultrasound facility, we are designing a digital model which can detect the abnormalities present in the Thyroid nodules by using machine learning over the imagery data of the patient. In this study, we are providing the algorithm which allows us to find the above features under Region of Interest (ROI) which is drawn by us. On the basis of the data collected, Artificial Intelligence applications may be developed for the medical image analysis including but not limited to abnormality detection, segmentation and computer-aided diagnosis

[en] The dose of patient radiation and image quality are primary concerns in the conduct of nuclear medicine procedures. Accurate interpretation of nuclear medicine image data depends on understanding the image patterns and quantitative results. This also applies to both quality control testing and clinical studies. Such understanding comes by learning from different examples, in addition to having in-depth knowledge of the underlying and how to achieve optimal results

[en] Low dose ¹³¹I (< 30 mCi) given to hyperthyroid patients on an outdoor patient basis. While the radioactive iodine is beneficial for these patients, it is a potential source of radiation exposure to their comforters and family members which need to be minimized. In this present study we tried to find out the Total Accumulative Exposure (TAE) to the family members/ comforters and from the patient treated with low dose iodine therapy (LDIT) using OF as 0.25. The radiation exposure rate for each patient was measured using an Ionizing Chamber-based survey meter at a distance of 1 meter from the patient immediately post LDIT. The mean radiation exposure rate was then calculated for Group A & B patients

[en] The MPI study whether performed in a Single Day or Dual Day Protocol (SDP or DDP) is a potential source of radiation exposure to radiation health workers (RHW) who tends to be in close proximity of injected patients. The present study compared two different MPI protocols to find out which protocol resulted in more radiation exposure to RHW. The radiation exposure rate was measured with an ionization chamber-based portable survey meter. We conclude that DDP is better than the SDP as it results in lesser radiation exposure to RHW. Secondly, the significance of the reduction in radiation exposure rate with time and distance is reinforced as a key radiation safety principle

[en] In this research work, analysis of nuclear medicine imaging implies the quantitative analysis in nuclear medicine imaging (QANMI) which is an in-depth review of single-photon and PET nuclear medicine image reconstruction, correction, modelling and analysis techniques with a particular emphasis on quantitative imaging for both diagnostic and therapeutic. Radionuclide imaging, including planar scintigraphy, single-photon emission computed tomography (SPECT) and positron emission tomography (PET) relies on the tracer principle, in which a minute quantity of a radiopharmaceutical is introduced into the body to monitor the patient’s physiological function. Conditions diagnosed by nuclear medicine imaging include Blood disorders, Thyroid disease, including hypothyroidism, Heart disease, Gallbladder disease, Lung problems, Bone problems, including infections or breaks, Kidney disease, including infections, scars or blockages. The absolute quantification of radionuclide distribution has been a goal since the early days of nuclear medicine

[en] ¹⁷⁷Lu based targeted radionuclide therapy (TRT) or ¹⁷⁷Lu-DOTATATE therapy, is an important emerging treatment modality for the management of neuroendocrine tumors resulting in enhanced survival rates in subjects with this ailment. The present study concludes that exosomes play a crucial role to propagate ROS generation at non-targeted sites following ¹⁷⁷Lu-DOTATATE therapy and further studies are warranted to investigate its mechanistic insights to improve the outcome of TRT in cancer patients