VRVenkatesh Rangarajan

Venkatesh Rangarajan

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

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Previous Organizations / Institutes

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Venkatesh Rangarajan has a total of 151 co-authors. Here are the top co-authors by number of shared publications:

  • Sneha Shah

    Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital and Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Homi Bhabha National Institute, Mumbai, Maharashtra, India

    67 shared publications
  • Archi Agrawal

    Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital and Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Homi Bhabha National Institute, Mumbai, Maharashtra, India

    58 shared publications
  • Nilendu Purandare

    Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhaba National Institute (HBNI), E. Borges Road, Parel, Mumbai, 400 012, India

    38 shared publications
  • Nilendu C Purandare

    Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Mumbai, Maharashtra, India

    20 shared publications
  • Ameya D Puranik

    Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Centre, Tata Memorial Hospital, Mumbai, Maharashtra, India

    16 shared publications
  • Piyush Chandra

    Department of Nuclear Medicine, Tata Memorial Hospital, Mumbai, Maharashtra, India

    15 shared publications

Latest Publications

  • Open Access

    Radiomics CoxPH Model for Overall Survival Prediction in Head and Neck Cancer

    by Yash Adhikari, Shubham Ghag, Nilendu Purandare, Venkatesh Rangarajan, Ashish Jha

    From the 8th International Cancer Congress

  • Robustness of18F-FDG PET Radiomic Features in Lung Cancer: Impact of Advanced Reconstruction Algorithm

    by Pooja Dwivedi, Sagar Barage, Ashish Kumar Jha, Sayak Choudhury, Venkatesh Rangarajan

    18F-FDG PET radiomics is emerging as a promising tool to identify imaging biomarkers for quantifying intratumor heterogeneity in lung cancer. However, the robustness of PET radiomic features (RFs) is influenced by factors such as image reconstruction algorithms, tumor segmentation, and discretization. Although the impact of these factors on RFs has been explored, the specific influence of the advanced block sequential regularized expectation maximization (BSREM) reconstruction algorithm remains unclear. This study investigated the potential variations in PET RFs associated with different factors when using BSREM. Methods: Retrospective data of 18F-FDG PET from 120 lung cancer patients were reconstructed twice using advanced BSREM and conventional ordered-subset expectation maximization methods. For each reconstruction set, 3 tumor segmentations were performed, including manual, 40% threshold, and Nestle methods. Two discretization methods using absolute and relative settings were applied for each dataset before RF extraction. Stable and robust RFs were assessed by the coefficient of variance and intraclass correlation coefficient, respectively. Results: High instability was exhibited by 19%, 33%, and 36% of RFs, with a coefficient of variation of more than 20% for reconstruction, segmentation, and discretization, respectively. Conversely, 60%, 19%, and 35% of RFs demonstrated robustness against these factors, with an intraclass correlation coefficient of more than 0.90. The comparative evaluation revealed significantly greater robustness for most RF subtypes in BSREM than in ordered-subset expectation maximization under varying segmentation and discretization conditions (P < 0.05). Conclusion: The stability and robustness of PET RFs are enhanced if BSREM is applied rather than the conventional method. Study results suggest that the advanced reconstruction method could offer potential benefits in providing consistent PET-based radiomic analysis for improving diagnostic and prognostic value. Visual Abstract


  • Dose estimation in patients from different protocols of 18F-FDG PET/CT studies and analysis of optimization strategies

    by Pooja Dwivedi, Ashish Kumar Jha, Sneha Mithun, Viraj Sawant, Vishal Vajarkar, Manoj Chauhan, Sayak Choudhury, Venkatesh Rangarajan

    This study aimed to evaluate the dose in different protocols of 18F-2-fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography (PET/CT) procedure. The retrospective study involves 207 patients with confirmed malignancies who underwent PET/CT. Effective dose (E) from PET was estimated based on injected activity and dose coefficient as per International Commission on Radiation Protection (ICRP) 128. Estimation of E from CT was done utilizing the dose length product (DLP) method and conversion factors as per ICRP 102. There was a significant statistical difference observed in E between different PET/CT protocols (P < .001). E of PET in the whole body (WB) was found to be 4.9 ± 0.9 mSv, whereas mean volume computed tomography dose indexvol, DLP, and E of CT in WB were 7.0 ± 0.2 mGy, 674.3 ± 80.7 mGy.cm, and 10.1 ± 1.2 mSv, respectively. No linear correlation was seen between the size-specific dose estimate and E of CT (r = −0.003; P = .978). The total mean E in WB PET/CT was 17.0 ± 1.7 mSv. CT dose was contributing more than PET dose in all protocols except brain PET/CT. Optimization strategies can be evaluated only if monitored periodically.

  • Nuclear Medicine in Oncology

    by Venkatesh Rangarajan, Nilendu C. Purandare, Sandip Basu

  • Open Access

    Radiation Safety Assessment of 177Lu-DOTATATE Intra-arterial Peptide Receptor Therapy (PRRT)

    by Manoj Kumar Hariram Chauhan, Ashish Kumar Jha, Sneha Mithun, Rutuja Dasharath Parab, Pooja Dwivedi, Ameya D Puranik, Kunal Bharat Gala, Nitin Sudhakar Shetye, Suyash Kulkarni, Venkatesh Rangarajan

    Objective: 177 Lu-DOTATATE peptide receptor therapy (PRRT) is an established treatment for patients suffering from neuroendocrine tumors. In the last few years, intra-arterial PRRT is being considered for patients having liver metastatic disease predominantly. The aim of our study is to measure the radiation doses received by the treating intervention radiologists involved in intra-arterial PRRT treatment using 177 Lu-DOTATATE. Materials and Methods: Radiation safety-related data of 31 patients who underwent 177Lu-DOTATATE intra-arterial PRRT treatment were used for this study. The exposure rate was measured at the hand and eye and chest level of treating intervention radiologists continuously from the beginning to the end of the administration. Exposure from the patient at the body surface (at the level of liver, thigh, and extremities) and 1 m from the body surface was measured just after the administration. The mean radiation exposure from the patient at the body surface and 1 m from the body was also calculated. Results: The mean administered activity was found to be 194 (±17) mCi. The mean radiation exposure at the surface at the level of the liver, thigh, and feet and at 1 m from the surface was found to be 100 (±25.11), 9 (±1.27), 5.6 (±0.52), and 5.3± (0.50) μSv/hr, respectively. The mean administration time was found to be 23 ± 5.6 min. The mean radiation dose to the hands, and eyes, of the treating intervention radiologist per procedure, was found to be 6.425 ± 2.75 μSv, 5.43 ± 1.76 μSv and 1-m exposure from the patient was found to be 5.3 ± 0.246 μSv, respectively. Conclusion: Our result shows that the radiation exposure from the patient postadministration is below the permissible limit of discharge. The radiation exposure to the intervention radiologist is also suggestive of a safe procedure to be performed by maintaining the radiation dose well within the permissible limit for radiation professionals.


  • Optimization of the number of post-therapeutic planar imaging time points for the most reliable organ and tumour dosimetry in peptide receptor radionuclide therapy

    by Acsah Konuparamban, Amit Nautiyal, Ashish Kumar Jha, Sneha Mithun, Tusharkanta Srichandan, Ameya Puranik, Venkatesh Rangarajan

  • Open Access

    Tata Memorial Centre Evidence Based Use of Nuclear medicine diagnostic and treatment modalities in cancer

    by Ameya D. Puranik, Sayak Choudhury, Suchismita Ghosh, Indraja D. Dev, Varun Ramchandani, Abhishek Uppal, Vikrant Bhosale, Abhishek Palsapure, Rachita Rungta, Rakesh Pandey, et al.

    PET/CT and radioisotope therapy are diagnostic and therapeutic arms of Nuclear Medicine, respectively. With the emergence of better technology, PET/CT has become an accessible modality. Diagnostic tracers exploring disease-specific targets has led the clinicians to look beyond FDG PET. Moreover, with the emergence of theranostic pairs of radiopharmaceuticals, radioisotope therapy is gradually making it’s way into treatment algorithm of common cancers in India. We therefore would like to discuss in detail the updates in PET/CT imaging and radionuclide therapy and generate a consensus-driven evidence based document which would guide the practitioners of Oncology.

  • Open Access

    Primary Neuroendocrine Tumor of Prostate in a Case of Metastatic Adenocarcinoma of Lung

    by Indraja D. Dev, Ameya D. Puranik, Ayushi Sahay, Nilendu C. Purandare, Archi Agrawal, Sneha Shah, Venkatesh Rangarajan

    Neuroendocrine tumor (NET) of the prostate is an extremely rare entity which represents <1% of the prostatic cancers, but with increasing incidence. Its spectrum encompasses several histological variants ranging from well-differentiated tumor which are often indolent in nature; to aggressive neuroendocrine carcinoma which portends aggressive management. Hence, such rare entities are to be characterized and treated accordingly. We report an unusual case of well-differentiated NET of prostate which was flagged on fluorodeoxyglucose positron emission tomography computed tomography (PET/CT) performed for other indication and confirmed on Gallium-68 DOTANOC PET/CT. Histopathology and immunohistochemistry confirmed the findings subsequently.


  • A dosimetric comparison of systemic peptide receptor radionuclide therapy and intra-arterial peptide receptor radionuclide therapy in patients with liver dominant gastroenteropancreatic neuroendocrine tumours

    by Amit Nautiyal, Ashish K Jha, Acsah Konuparamban, Sneha Mithun, Tusharkanta Srichandan, Ameya Puranik, Kunal Gala, Nithin Shetty, Suyash Kulkarni, Venkatesh Rangarajan

    Objectives: Intra-arterial radionuclide therapy (IART) treatment allows direct delivery of 177Lu-DOTATATE to the overexpressed somatostatin-positive neuroendocrine liver metastases, which led to higher tumour concentration compared with systemic radionuclide therapy (SRT). The aim was to evaluate and compare the absorbed doses of both IART and SRT to organs and hepatic metastatic sites. Methods: A total of 48 patients received SRT and IART. In SRT, activity was administered intravenously, whereas in IART, activity was administered directly into hepatic arteries. The sequential whole-body images were acquired at 2, 4, 24, 72 and 160 h. The reconstructed whole-body planar and single-photon emission computed tomography-computed tomography images were processed using the Dosimetry Toolkit for the estimation of normalized cumulated activity in the organs and tumour lesions. The absorbed dose was computed using OLINDA EXM 2.0 software. Results: The median absorbed dose (mGy/MBq) of kidneys and spleen in IART was compared with SRT and found to be decreased by 30.7% (P = 0.03) and 37.5% (P = 0.08), whereas it was found to be increased by 40% (P = 0.26) and 8.1% (P = 0.28) in the liver and lungs. The median dose (mGy/MBq) of tumours determined in IART was found to be increased by 62.2% (P = 0.04). Conclusion: IART with 177Lu-DOTATATE significantly increases tumour dose while reducing overall systemic toxicity in comparison to SRT treatment. After considering the maximum tolerance limit of kidneys in peptide receptor radionuclide therapy, the number of treatment cycles and injected activity can be optimized further with IART for better response and survival.


  • Analysis of image quality by regulating beta function of BSREM reconstruction algorithm and comparison with conventional reconstructions in carcinoma breast studies of PET CT with BGO detector

    by Pooja Dwivedi, Viraj Sawant, Vishal Vajarkar, Rakhee Vatsa, Sayak Choudhury, Ashish Kumar Jha, Venkatesh Rangarajan

    Background: The study aimed to evaluate the beta penalization factor of the BSREM reconstruction algorithm on a five-ring BGO-based PET CT system and compared it with conventional reconstructions. Methods: Retrospective study involves 30 breast cancer patient data of 18F-fluorodeoxyglucose (18F-FDG) PET CT for reconstruction with OSEM, OSEM + PSF, and BSREM under variable β factors ranging from 200 to 600 in the steps of 50. Liver noise, lesion SUVmax, SBR, and SNR for each reconstruction were calculated. Quantitative parameters of each beta factor of BSREM were compared with OSEM and OSEM + PSF, using the Wilcoxon sign rank test with Bonferroni correction, a value of P < 0.002 was considered statistically significant. Visual scoring by two readers was also evaluated. Results: Thirty lesions of mean size 1.91 ± 0.58 cm range (0.7–3.6 cm) were identified. Liver noise and SBR were reduced, whereas SNR was increased with an increasing β value of BSREM. In comparison with OSEM, liver noise was not significantly different from β200 and β250. SNR of OSEM was significantly lower than any other β factors and SBR of β factor less than 500 was significantly higher than OSEM. In comparison with OSEM + PSF, liver noise was not significantly different from β400 and β350–500 do not show a significant difference in SNR and SBR compared with OSEM + PSF. β350 scored highest under visual scoring with a moderate agreement. Conclusion: The study quantitatively indicates the optimum beta range of β250–450 and the qualitative evaluation indicates that β350 is an optimum beta factor of BSREM in breast cancer cases for 18F-FDG WB-PET CT.