Venkatesh Rangarajan

ORCID: 0000-0003-2581-3086
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About
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Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications
  • Lymphoma Diagnosis and Treatment
  • Sarcoma Diagnosis and Treatment
  • Head and Neck Cancer Studies
  • Medical Imaging and Pathology Studies
  • Lung Cancer Diagnosis and Treatment
  • Radiopharmaceutical Chemistry and Applications
  • Cancer Diagnosis and Treatment
  • Glioma Diagnosis and Treatment
  • Prostate Cancer Treatment and Research
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Neuroendocrine Tumor Research Advances
  • Neuroblastoma Research and Treatments
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • CNS Lymphoma Diagnosis and Treatment
  • Bone Tumor Diagnosis and Treatments
  • Lung Cancer Treatments and Mutations
  • Brain Metastases and Treatment
  • Viral-associated cancers and disorders
  • Advanced Radiotherapy Techniques
  • Lung Cancer Research Studies
  • Cardiac tumors and thrombi
  • MRI in cancer diagnosis
  • Head and Neck Surgical Oncology

Homi Bhabha National Institute
2019-2025

Tata Memorial Hospital
2016-2025

Advanced Centre for Treatment, Research and Education in Cancer
2015-2025

Jacksonville College
2024

Mayo Clinic in Florida
2024

Apollo Hospitals
2023

Society of Nuclear Medicine and Molecular Imaging
2013-2022

Merck (Germany)
2022

Bristol-Myers Squibb (Germany)
2022

Pfizer (United Kingdom)
2022

We report the clinical outcomes of a randomized trial comparing prophylactic whole-pelvic nodal radiotherapy to prostate-only (PORT) in high-risk prostate cancer.This phase III, single center, controlled enrolled eligible patients undergoing radical for node-negative adenocarcinoma, with estimated risk ≥ 20%. Randomization was 1:1 PORT (68 Gy/25# prostate) or (WPRT, 68 prostate, 50 pelvic nodes, including common iliac) using computerized stratified block randomization, by Gleason score, type...

10.1200/jco.20.03282 article EN Journal of Clinical Oncology 2021-01-26

Abstract Lung cancer is one of the leading causes cancer-related deaths. Accurate assessment disease extent important in deciding optimal treatment approach. To play an role multidisciplinary management lung patients, it necessary that radiologist understands principles staging and implications radiological findings on various descriptors eventual decisions.

10.4103/0971-3026.155831 article EN cc-by-nc-nd Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging 2015-04-01

Background Because the addition of nimotuzumab to chemoradiation in patients with locally advanced head and neck cancer improved outcomes a phase 2 study, authors conducted 3 study confirm these findings. Methods This open‐label, investigator‐initiated, 3, randomized trial was from 2012 2018. Adult who were fit for radical 1:1 receive either radiotherapy (66‐70 grays) concurrent weekly cisplatin (30 mg/m ) (CRT) or same schedule CRT (200 mg) (NCRT).The primary endpoint progression‐free...

10.1002/cncr.32179 article EN Cancer 2019-05-31

Abstract Background Grade ≥2 acute xerostomia between 3D conformal radiotherapy (RT) and intensity‐modulated (IMRT) was evaluated in patients with head neck squamous cell carcinomas (HNSCCs) treated radically. Methods Between 2005 2007, 59 HNSCC (T1–3, N0–2b) were randomized to IMRT or 3D‐RT. On RT, weekly xerostomia, dysphagia, dermatitis, mucositis graded by Radiation Therapy Oncology Group (RTOG) toxicity criteria. Patients underwent examination under anesthesia, positron emission...

10.1002/hed.24263 article EN Head & Neck 2015-11-11

Abstract The repeatability and reproducibility of radiomic features extracted from CT scans need to be investigated evaluate the temporal stability imaging with respect a controlled scenario (test–retest), as well their dependence on acquisition parameters such slice thickness, or tube current. Only robust stable should used in prognostication/prediction models improve generalizability across multiple institutions. In this study, we three different scanners, variable current, use intravenous...

10.1038/s41598-021-81526-8 article EN cc-by Scientific Reports 2021-01-21

Bone marrow is an important extranodal site in diffuse large B-cell lymphoma (DLBCL), and histology has been incorporated into the new National Comprehensive Cancer Network international prognostic index. Marrow involvement demonstrated histologically confers poor prognosis but identified by staging PET more cases. How information from biopsy should be combined to optimize outcome prediction remains unclear.The International Atomic Energy Agency sponsored a prospective cohort study better...

10.2967/jnumed.113.134486 article EN Journal of Nuclear Medicine 2014-09-11

Biochemical recurrence (BCR) is a clinical challenge in prostate cancer (PCa) patients, as localization guides subsequent therapies. The use of PET with prostate-specific membrane antigen (PSMA) provides better accuracy than conventional imaging practice. This prospective, multicenter, international study was performed to evaluate the diagnostic performance and impact PSMA PET/CT for evaluating BCR PCa patients worldwide scenario. <b>Methods:</b> Patients were recruited from 17 centers 15...

10.2967/jnumed.120.261886 article EN cc-by Journal of Nuclear Medicine 2021-07-02

Grading of gliomas is a piece critical information related to prognosis and survival. Classifying glioma grade by semantic radiological features subjective, requires multiple MRI sequences, quite complex clinically demanding, can very often result in erroneous diagnosis. We used radiomics approach with machine learning classifiers determine the gliomas. Eighty-three patients histopathologically proven underwent brain. Whenever available, immunohistochemistry was additionally augment...

10.3390/jpm13060920 article EN Journal of Personalized Medicine 2023-05-30

Localization of phosphatonin-producing mesenchymal tumours in patients with primary tumour-induced osteomalacia (pTIO) is challenging. Functional imaging plays an important role the localization these tumours.We studied relative performance different functional modalities ((18) F-FDG PET/CT, (99) Tc-HYNIC-TOC SPECT/CT and (68) Ga-DOTATATE PET/CT) tumour cases pTIO.Retrospective chart evaluation 16 confirmed TIO treated from 2006 to 2013 was conducted a tertiary care referral centre.Of 16,...

10.1111/cen.12426 article EN Clinical Endocrinology 2014-02-17

Manual cohort building from radiology reports can be tedious. Natural Language Processing (NLP) used for automated building. In this study, we have developed and validated an NLP approach based on deep learning (DL) to select lung cancer a thoracic disease management group cohort. 4064 (CT PET/CT) of reported between 2014 2016 were used. These anonymised, cleaned, text normalized split into training, testing, validation set. External was performed the MIMIC-III clinical database. We three DL...

10.1016/j.imu.2023.101294 article EN cc-by Informatics in Medicine Unlocked 2023-01-01

Survival studies may serve as benchmarks to develop cancer-related policies and estimate baseline survival rates in a given patient population.We carried out retrospective audit of cases managed 2009 now report the disease-free (DFS) early breast cancer (EBC) locally advanced (LABC) patients registered at tertiary center India.The study included 2192 with ages ranging from 18 years 94 median 50 years. Of these, 888 (40.5%) were EBCs Stage I II, 833 (38%) LABCs (Stage III), 471 (21.5%) de...

10.4103/ijc.ijc_484_17 article EN Indian Journal of Cancer 2018-01-01

Introduction Incidental diagnosis of gall bladder cancer is increasing. The role PET‐CT in modifying the extent surgery and adjuvant treatment still unclear. We have evaluated same this study. Methods This a prospective audit from Tata Memorial Hospital, Mumbai, India. Patients found non‐metastatic on initial imaging underwent laparotomy for revision surgery. Results One hundred eight patients had scan done before Median duration primary was 42 days. PET 64 (59.3%) no uptake body (N‐PET)....

10.1002/jso.24198 article EN Journal of Surgical Oncology 2016-02-05

Rising incidence and mortality of cancer have led to an incremental amount research in the field. To learn from preexisting data, it has become important capture maximum information related disease type, stage, treatment, outcomes. Medical imaging reports are rich this kind but only present as free text. The extraction such unstructured text is labor-intensive. use Natural Language Processing (NLP) tools extract radiology can make less time-consuming well more effective. In study, we...

10.1007/s10278-023-00787-z article EN cc-by Journal of Digital Imaging 2023-02-14

Development and validation of outcome prediction models in multi-centric cancer datasets are essential to ensure their applicability accuracy across diverse populations. This study addresses the challenges model generalizability Head Neck research by utilizing combined clinical radiomics data from centers India Netherlands, following Findable-Accessible-Interoperable-Reusable - F.A.I.R. principles. We use Vantage6, a federated learning software infrastructure that implements Personal Health...

10.1101/2025.01.29.25321214 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2025-01-29
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