Renal scintigraphy plays an important role in the diagnosis of various kidney disorders. This procedure can be performed with different radiopharmaceuticals. The patients undergoing renal scintigraphy receive a radiation dose that should be assessed. In this study, the effective dose of patients due to renal scintigraphy with 99mTc (DMSA, DTPA, EC and MAG3) was calculated for the International Commission on Radiological Protection (ICRP) 110 adult reference phantoms using the Medical Internal Radiation Dose method and the ICRP 60 and 103 tissue weighting factors. The results show that the highest effective dose per unit activity administered is due to 99mTc DMSA. On average, the effective dose per unit activity administered of 99mTc DMSA is almost twice the effective dose per unit activity administered of other radiopharmaceuticals. The effective doses per unit activity administered calculated using the ICRP 103 tissue weighting factors are always lower than that calculated using the ICRP 60 tissue weighting factors and the ICRP 128 data.

The calculation of absorbed and effective doses due to the administration of radiopharmaceuticals needs physical data such as radionuclide's half-life and nuclear decay data. Also, it needs the data on the biodistribution of the radiopharmaceutical in the body. This process is time-consuming, and there is a possibility of human error in the calculations. Therefore, computer programs were developed to facilitate and speed up the dose calculation. The purpose of this paper is to report the steps taken for the development of the second version of InRaDoS. InRaDoS 2 is a free computer program for internal dosimetry. This program was developed using the tkinter module of Python programming language. The dose calculations were based on the MIRD method and only for adults. The user can calculate the doses for revised ORNL or ICRP adult reference phantoms. For now, 98 and 29 radiopharmaceuticals (138 and 42 biokinetic models) are available for the revised ORNL and ICRP adult reference phantoms, respectively. The results of the InRaDoS 2 show good agreement with the published data and free available software. InRaDoS 2 is freely available for download on GitHub (https://github.com/farzinsafarnejad/InRaDoS-2).

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