Srikanth Puttagunta

ORCID: 0000-0001-9158-5179
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About
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Research Areas
  • Venous Thromboembolism Diagnosis and Management
  • Ultrasound in Clinical Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Lung Cancer Diagnosis and Treatment
  • COVID-19 diagnosis using AI
  • Hepatocellular Carcinoma Treatment and Prognosis
  • Abdominal Trauma and Injuries
  • Electron Spin Resonance Studies
  • Nuclear Physics and Applications
  • Emergency and Acute Care Studies
  • Colorectal Cancer Screening and Detection
  • Healthcare cost, quality, practices
  • Photoacoustic and Ultrasonic Imaging
  • Thyroid Cancer Diagnosis and Treatment
  • Reproductive System and Pregnancy
  • Pancreatic and Hepatic Oncology Research
  • Cancer Mechanisms and Therapy
  • Autopsy Techniques and Outcomes
  • Radiation Effects and Dosimetry
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • Prostate Cancer Diagnosis and Treatment
  • Global Cancer Incidence and Screening
  • Ectopic Pregnancy Diagnosis and Management
  • Advanced MRI Techniques and Applications
  • Thyroid and Parathyroid Surgery

McMaster University
2019-2024

Queen Elizabeth University Hospital
2023

NHS Greater Glasgow and Clyde
2021-2023

Juravinski Hospital
2019-2020

Hamilton Health Sciences
2020

Hairmyres Hospital
2016

Glasgow Royal Infirmary
2014

King's College London
2010

Ameerah Mohd Azmil Gaurav Jyoti Bansal Eleri Davies Matthew Wallis Fleur Kilburn‐Toppin and 95 more Sian Taylor-Phillip Anne F. Buckley Nuala Healy Aine Quinn Sylvia O’Keeffe Teri Ang Anthony Maxwell Yit Yoong Lim Elaine F. Harkness Richard Emsley Susan Astley Soujanya Gadde Teri Ang Anthony Maxwell Yit Yoong Lim Elaine F. Harkness Richard Emsley Susan Astley Soujanya Gadde Jennifer A. Ferguson G. Melvin Stevens Robert K. Hills Kate Thomas Sabrina Rajan Nisha Sharma A. Kishore John O’ Dowd Claire Murphy Ken Lindsay Guneesh Dadayal Anne Nielsen Moody Madeleine Whitaker Stephen Wolstenhulme Jane Bull Nisha Sharma Anne-Marie Culpan Natalia Roszkowski Alexis Grima M Stahnke Caroline Rubin Ruth Walker R.S. Oeppen Srikanth Puttagunta Karen A. Gray Shama Puri Nisha Sharma Rebecca Millican‐Slater Sana Pascaline Mohamad Hajaj Janet Flinn Kim Thomson Beatrix Elsberger Anne Turnbull Mark Bagnall Joanne York Stuart Benney Amit Goyal Ashley Topps Simon P. Barr Panagiotis Pikoulas Susan Pritchard Anthony Maxwell Sophie Greenhalgh Muthyala Sreenivas Sophie Greenhalgh Muthyala Sreenivas Sophie Greenhalgh Muthyala Sreenivas Anju Nandhra Sheetal Sharma Archita Gulati F. Razzaq Sana Ullah Khan J McKillen Rupert Larkin Muthyala Sreenivas Sachin Kamat C. R. Gonçalves Alan Tan Asha Eleti Nithya Vidyaprakash Michelle A. McMahon B. Dall Nisha Sharma Faisal Majid Muthyala Sreenivas Ramachadra Rattehalli Vandana Gaur Alistair Mackenzie Lucy M. Warren Mishal Patel Mark Halling‐Brown Louise Wilkinson Kenneth C. Young James Tanner

31.12.13).Chi squared analysis was used to compare the rate between two groups and of false negative (FN) minimal signs (MS) categories considered together. ResultsOf 87,868 screened before digital 1.1.10and 31.12.11,103 developed IC (0.12%) 100,672 with 1.1.12and 31.12.13,145 (0.14%) (p = 0.12).Those women FN MS interval cancer numbered 17 (16.5%)predigital 41 (28.3%) digital; 0.04).The number true similar in pre (49.5%) post (46.9%) groups. ConclusionThe if is NHSBSP standard (1.2 per 1000...

10.1186/s13058-016-0766-5 article EN cc-by Breast Cancer Research 2016-11-01

To develop and validate a deep learning model for detection of nasogastric tube (NGT) malposition on chest radiographs assess impact as clinical decision support tool junior physicians to help determine whether feeding can be safely performed in patients (feed/do not feed).A neural network ensemble was pretrained 1 132 142 retrospectively collected (June 2007-August 2019) frontal further fine-tuned 7081 labeled by three radiologists. Clinical relevance assessed an independent set 335 images....

10.1148/ryai.220165 article EN Radiology Artificial Intelligence 2023-02-01

Abstract Chest X-rays (CXRs) are the first-line investigation in patients presenting to emergency departments (EDs) with dyspnoea and a valuable adjunct clinical management of COVID-19 associated lung disease. Artificial intelligence (AI) has potential facilitate rapid triage CXRs for further patient testing and/or isolation. In this work we develop an AI algorithm, CovIx, differentiate normal, abnormal, non-COVID-19 pneumonia, using multicentre cohort 293,143 CXRs. The algorithm is...

10.1038/s41598-021-99986-3 article EN cc-by Scientific Reports 2021-10-14

<p>Background</p> <p>Many evidence-based clinical decision tools are available for the diagnosis of pulmonary embolism (PE). However, these have had suboptimal uptake in everyday practice emergency departments (EDs), despite numerous implementation efforts. We aimed to test feasibility a multi-faceted intervention implement an PE protocol.</p> <p>Methods</p> <p>We conducted interrupted time series study three EDs Ontario, Canada. enrolled consecutive...

10.32920/27922134.v1 preprint EN cc-by 2024-11-29

<p>Background</p> <p>Many evidence-based clinical decision tools are available for the diagnosis of pulmonary embolism (PE). However, these have had suboptimal uptake in everyday practice emergency departments (EDs), despite numerous implementation efforts. We aimed to test feasibility a multi-faceted intervention implement an PE protocol.</p> <p>Methods</p> <p>We conducted interrupted time series study three EDs Ontario, Canada. enrolled consecutive...

10.32920/27922134 preprint EN cc-by 2024-11-29

Objective The aim of this study was to determine if texture analysis can classify liver observations likely be hepatocellular carcinoma based on the Liver Imaging Reporting and Data System (LI-RADS) using single portal venous phase computed tomography. Methods This research ethics board–approved retrospective cohort included 64 consecutive LI-RADS observations. Individual observation features were compared Kruskal-Wallis 2 sample t tests. Logistic regression used for prediction group....

10.1097/rct.0000000000001003 article EN Journal of Computer Assisted Tomography 2020-03-01

Many evidence-based clinical decision tools are available for the diagnosis of pulmonary embolism (PE). However, these have had suboptimal uptake in everyday practice emergency departments (EDs), despite numerous implementation efforts. We aimed to test feasibility a multi-faceted intervention implement an PE protocol.We conducted interrupted time series study three EDs Ontario, Canada. enrolled consecutive adult patients accessing ED with suspected from January 1, 2018, February 28, 2020....

10.1186/s40814-020-00741-8 article EN cc-by Pilot and Feasibility Studies 2021-01-04

In this case report, we present a of hitherto undescribed "pseudoembryo" appearance in fluid-filled endometrial cavity ectopic pregnancy. Knowledge sonographic finding is clinically important, since the presence could lead to misidentification pseudogestational sac as an intrauterine pregnancy setting This paper discuss reviews and imaging findings which differentiate it from true gestation.

10.1016/j.ejro.2019.06.004 article EN cc-by-nc-nd European Journal of Radiology Open 2019-01-01

Objective The COVID-19 pandemic had an undoubted impact on the provision of elective and emergency cancer care, including diagnosis management patients with hepatocellular carcinoma (HCC). Our aim was to determine effects HCC in West Scotland. Design This a retrospective audit prospectively collated database presented Scotland Multidisciplinary Team (MDT) between April October 2020 (during pandemic), comparing baseline demographics, characteristics disease at presentation, diagnostic workup,...

10.1136/bmjgast-2023-001231 article EN cc-by-nc BMJ Open Gastroenterology 2023-11-01

Abstract Background: Many evidence-based clinical decision tools are available for the diagnosis of pulmonary embolism (PE). However, these have had suboptimal uptake in everyday practice emergency departments (EDs), despite numerous implementation efforts. We aimed to test feasibility a multi-faceted intervention implement an PE protocol. Methods : conducted interrupted time series study three EDs Ontario, Canada. enrolled consecutive adult patients accessing ED with suspected from January...

10.21203/rs.3.rs-44888/v2 preprint EN cc-by Research Square (Research Square) 2020-10-19

Abstract Background: Many evidence-based clinical decision tools are available for the diagnosis of pulmonary embolism (PE). However, these have had suboptimal uptake in everyday practice emergency departments (EDs), despite numerous implementation efforts. We aimed to test feasibility a multi-faceted intervention implement an PE protocol. Methods : conducted interrupted time series study three EDs Ontario, Canada. enrolled consecutive adult patients accessing ED with suspected from January...

10.21203/rs.3.rs-44888/v3 preprint EN cc-by Research Square (Research Square) 2020-12-15
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