![Nonhlanhla Chambara PhD, FHEA](https://profiles-cardiff.imgix.net/attachments/4183?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Nonhlanhla Chambara
PhD, FHEA
- Available for postgraduate supervision
Teams and roles for Nonhlanhla Chambara
Lecturer: Diagnostic Radiography and Imaging
Overview
I am a lecturer and an early career researcher with an academic background in diagnostic radiography and experience teaching and mentoring undergraduate and postgraduate radiography students. My ambition is to contribute to diagnostic imaging research, teaching and scholarship and foster evidence-based practice in a continuously technologically advancing healthcare environment.
My research interests include optimisation of diagnostic imaging techniques and artificial intelligence health technologies for cancer detection and infectious disease imaging; computed/simulation-based learning in healthcare education and radiation protection in ionising and non-ionising imaging techniques. My doctoral research focused on evaluating the diagnostic efficacy of advanced novel ultrasound imaging techniques and computer-aided diagnosis in thyroid cancer detection to optimise ultrasound use and limit the over-diagnosis of indolent cases of this type of cancer.
Publication
2024
- Miller, T., Chambara, N., Ying, M. T. C. and Pang, M. Y. C. 2024. Using ultrafast angio planewave ultrasensitive and conventional doppler imaging techniques to assess intramuscular blood perfusion in older adults. BMC Medical Imaging 24(1), article number: 324. (10.1186/s12880-024-01495-y)
- Chen, Z. et al. 2024. Assessing the feasibility of ChatGPT-4o and Claude 3-Opus in thyroid nodule classification based on ultrasound images.. Endocrine (10.1007/s12020-024-04066-x)
- Chen, Z., Chambara, N., Lo, X., Liu, S. Y. W., Gunda, S. T., Han, X. and Ying, M. T. C. 2024. Improving the diagnostic strategy for thyroid nodules: a combination of artificial intelligence-based computer-aided diagnosis system and shear wave elastography. Endocrine (10.1007/s12020-024-04053-2)
2022
- Chambara, N., Lo, X., Chow, T. C. M., Lai, C. M. S., Liu, S. Y. W. and Ying, M. 2022. Combined shear wave elastography and EU TIRADS in differentiating malignant and benign thyroid nodules. Cancers 14(22), article number: 5521. (10.3390/cancers14225521)
- Takadiyi Gunda, S., Chambara, N., Chen, X. F., Pang, M. Y. C. and Ying, M. T. 2022. Diagnostic efficacy of advanced ultrasonography imaging techniques in infants with biliary atresia (BA): a systematic review and meta-analysis. Children 9(11), article number: 1676. (10.3390/children9111676)
- Chambara, N., Yuk Wah Liu, S., Lo, X. and Ying, M. 2022. Diagnostic value of angioPLUS microvascular imaging in thyroid nodule diagnosis using quantitative and qualitative vascularity grading. Biomedicines 10(7), article number: 1554. (10.3390/biomedicines10071554)
2021
- Chambara, N., Liu, S. Y. W., Lo, X. and Ying, M. 2021. Comparative analysis of computer-aided diagnosis and computer-assisted subjective assessment in thyroid ultrasound. Life 11(11), article number: 1148. (10.3390/life11111148)
- Chambara, N., Liu, S. Y. W., Lo, X. and Ying, M. 2021. Diagnostic performance evaluation of different TI-RADS using ultrasound computer-aided diagnosis of thyroid nodules: an experience with adjusted settings. PLoS ONE 16(1), article number: e0245617. (10.1371/journal.pone.0245617)
2019
- Chambara, N. and Ying, M. 2019. The diagnostic efficiency of ultrasound computer–aided diagnosis in differentiating thyroid nodules: a systematic review and narrative synthesis. Cancers 11(11), article number: 1759. (10.3390/cancers11111759)
Articles
- Miller, T., Chambara, N., Ying, M. T. C. and Pang, M. Y. C. 2024. Using ultrafast angio planewave ultrasensitive and conventional doppler imaging techniques to assess intramuscular blood perfusion in older adults. BMC Medical Imaging 24(1), article number: 324. (10.1186/s12880-024-01495-y)
- Chen, Z. et al. 2024. Assessing the feasibility of ChatGPT-4o and Claude 3-Opus in thyroid nodule classification based on ultrasound images.. Endocrine (10.1007/s12020-024-04066-x)
- Chen, Z., Chambara, N., Lo, X., Liu, S. Y. W., Gunda, S. T., Han, X. and Ying, M. T. C. 2024. Improving the diagnostic strategy for thyroid nodules: a combination of artificial intelligence-based computer-aided diagnosis system and shear wave elastography. Endocrine (10.1007/s12020-024-04053-2)
- Chambara, N., Lo, X., Chow, T. C. M., Lai, C. M. S., Liu, S. Y. W. and Ying, M. 2022. Combined shear wave elastography and EU TIRADS in differentiating malignant and benign thyroid nodules. Cancers 14(22), article number: 5521. (10.3390/cancers14225521)
- Takadiyi Gunda, S., Chambara, N., Chen, X. F., Pang, M. Y. C. and Ying, M. T. 2022. Diagnostic efficacy of advanced ultrasonography imaging techniques in infants with biliary atresia (BA): a systematic review and meta-analysis. Children 9(11), article number: 1676. (10.3390/children9111676)
- Chambara, N., Yuk Wah Liu, S., Lo, X. and Ying, M. 2022. Diagnostic value of angioPLUS microvascular imaging in thyroid nodule diagnosis using quantitative and qualitative vascularity grading. Biomedicines 10(7), article number: 1554. (10.3390/biomedicines10071554)
- Chambara, N., Liu, S. Y. W., Lo, X. and Ying, M. 2021. Comparative analysis of computer-aided diagnosis and computer-assisted subjective assessment in thyroid ultrasound. Life 11(11), article number: 1148. (10.3390/life11111148)
- Chambara, N., Liu, S. Y. W., Lo, X. and Ying, M. 2021. Diagnostic performance evaluation of different TI-RADS using ultrasound computer-aided diagnosis of thyroid nodules: an experience with adjusted settings. PLoS ONE 16(1), article number: e0245617. (10.1371/journal.pone.0245617)
- Chambara, N. and Ying, M. 2019. The diagnostic efficiency of ultrasound computer–aided diagnosis in differentiating thyroid nodules: a systematic review and narrative synthesis. Cancers 11(11), article number: 1759. (10.3390/cancers11111759)
Research
My research interests are in harnessing the applications of artificial intelligence (AI) health technologies in diagnostic imaging for improving cancer detection and infectious disease imaging. I believe the optimised use of advanced imaging approaches and AI technologies can improve efficiency, speed up diagnostic procedures and patient management, and ultimately improve patient outcomes. My doctoral work focused on optimising the use of advanced ultrasound imaging techniques such as shear wave elastography, microvascularity assessments based on ultrafast Doppler techniques, and computer-aided diagnosis based on multiple malignancy risk stratification systems, for the detection/diagnosis of thyroid cancer.
My other research interests are radiation protection in low-dose and non-ionising diagnostic imaging procedures and computed/simulation-based learning in radiography and healthcare education.
Teaching
I am currently the module lead for the DRI third-year research module. My other teaching responsibilities are in the undergraduate and postgraduate radiation Physics modules and undergraduate radiographic imaging and technique modules. I assist with clinical tutorials and clinical assessments in the DRI undergraduate clinical practice modules. I am also involved in research supervision and have pastoral care responsibilities as a personal tutor to students at both undergraduate and postgraduate levels.
Biography
Education and Qualifications:
2018 - 2022: Ph.D. (Radiography), Hong Kong Polytechnic University
Thesis: Malignancy-risk stratification of thyroid nodules: Diagnostic utility of the ultrasound computer-aided diagnosis and advanced ultrasound imaging techniques
2016 - 2017: Postgraduate Diploma in Higher Education, National University of Science and Technology (NUST, Zimbabwe)
2014 - 2016: MSc Radiography, NUST, Zimbabwe
2007 - 2011: BSc Diagnostic Imaging, Quinnipiac University, USA
Appointments:
2022 - current: Lecturer (Diagnostic Imaging and Radiography), Cardiff University
2021- 2022: Part-time Research Assistant, Hong Kong Polytechnic University
2013 - 2018: Teaching/Lecturing Assistant (Diagnostic Radiography), NUST, Zimbabwe
2013: Diagnostic radiographer, Baines Imaging Group, Harare, Zimbabwe
Honours and awards
Awards
2023: The Hong Kong Polytechnic University Faculty Distinguished Thesis Award of the Faculty of Health and Social Sciences (Graduation Year 2022)
2016: Diagnostic Medical Ultrasound Services Prize for Best Graduating Student in MSc Radiography (Bulawayo, Zimbabwe)
2011: Quinnipiac University Student Affairs Outstanding Senior Student Award (Connecticut, USA)
2011: Quinnipiac University Mallinckrodt Award for Outstanding Diagnostic Imaging Senior Student (Connecticut, USA)
2010: Joint Review Committee on Education in Radiologic Technology (JRCERT) Certificate of Excellence for Outstanding Performance in Radiologic Sciences (USA)
Professional memberships
- Health and Care Professionals Council (HCPC)
- Fellow of the Higher Education Academy (FHEA)
- Allied Health Practitioners Council of Zimbabwe (AHPCZ)
- American Registry of Radiologic Technologists (ARRT)
Committees and reviewing
Committee membership:
Interprofessional Student Leadership Academy (ISLA) Development Group
DRI Proportionate Research Ethics Review
Reviewer:
Cancer Imaging Journal
European Radiology Journal
Supervisions
My research expertise is primarily in quantitative research methods and I am interested in supervising students in the following areas:
- Application of artificial intelligence in improving diagnostic imaging procedures and workflow
- Cancer imaging
- Infectious disease imaging
- Healthcare computer-based or simulation-based learning
- Radiation protection in ionising and non-ionising imaging
Contact Details
Ty Dewi Sant, Room 1.19, University Hospital of Wales, Heath Park, Cardiff, CF14 4XN
Research themes
Specialisms
- Cancer diagnosis
- Radiology and organ imaging
- Allied health and rehabilitation science
- Applied AI
- Applied clinical research