- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07485465
Lymphoedema Diagnosis and Treatment (CDTL)
The Role of Chat GPT in the Diagnosis and Treatment of Lymphedema
Study Overview
Status
Conditions
Detailed Description
The differential diagnosis of lower limb swelling remains problematic in clinical practice, as lymphedema, lipedema, and peripheral venous disease often present with similar features. Therefore, we developed LymphedemaGPT, a GPT-5-based clinical assistant designed to help practitioners navigate these diagnostic complexities.
LymphedemaGPT was designed to analyze structured patient data to extract clinical summaries, present possible diagnoses with percentage probabilities, create differential diagnosis tables, suggest additional diagnostic tests, and generate evidence-based treatment plans.
LymphedemaGPT's responses are based on seven scientific publications uploaded to the system, in addition to the Sleigh BC & Manna B (2023) and Rockson approaches. Owing to this resource integration, the model can provide more reliable and consistent recommendations aligned with evidence-based medicine principles based on current guidelines and scientific publications.
Extensive prompt engineering techniques were applied to optimize the diagnostic and therapeutic accuracy of LymphedemaGPT.
The model is programmed to prioritize the questioning phase until a diagnosis is confirmed. In the initial responses, only structured anamnesis questions were asked, and after sufficient information was collected, systematic analysis and treatment planning were initiated. The response flow was designed as follows: (1) history collection, (2) preliminary assessment, (3) additional questioning (if necessary), and (4) systematic analysis and treatment planning when sufficient data were obtained.
The following patient data was presented to LymphedemaGPT in a structured format:
Demographic data: Age, gender, height, weight Medical history: Additional illnesses, medications used, habits (smoking, alcohol) Complaint characteristics: Time of onset, affected area, symptoms (pain, heaviness, numbness, tingling, stiffness, limited movement, weakness, etc.) Physical examination findings: Stemmer sign, swelling change with elevation, skin findings Medical history: History of infection, history of surgery, history of malignancy (radiotherapy, chemotherapy, lymph node dissection, type of cancer) Imaging: Doppler ultrasonography and lymphoscintigraphy results, if available
LymphedemaGPT was asked to respond in the following 12-part standard format: (1) Clinical Summary, (2) Possible Diagnoses (% probability), (3) Differential Diagnosis, (4) Recommended Diagnostic Tests, (5) Treatment Plan, (6) Patient Education and Follow-up, (7) Red Flags, (8) references, (9) Level of Evidence and Confidence Score, (10) Ethical Note, (11) Data Summary (JSON/CSV), and (12) Analysis Timestamp.
The performance of LymphedemaGPT was evaluated by experienced physicians based on the following eight criteria:
- Accuracy and adequacy of clinical summary
- Accuracy of primary diagnosis
- Accuracy of differential diagnosis table
- Appropriateness of recommended diagnostic tests
- Concordance of treatment plan with current guidelines
- Appropriateness of compression class/exercise-diet recommendations
- Adequacy of red flags
- Overall clinical utility
Each criterion was scored using a 5-point Likert scale: 5 = excellent/completely suitable, 4 = good/significantly suitable, 3 = moderate/partially suitable, 2 = poor/inadequate, and 1 = very poor/not suitable. The maximum score for each case was 40 (8 criteria × 5 points), and the minimum score was 8.
Two experienced physicians independently performed the evaluation. The evaluators were physical medicine and rehabilitation specialists experienced in the management of lymphedema and lipedema, and they independently performed the scoring.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Yunus Emre Doğan, MD
- Phone Number: +90 506 051 25 00
- Email: ynsemredgn91@gmail.com
Study Locations
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Istanbul
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Istanbul, Istanbul, Turkey (Türkiye), 34704
- Istanbul Fatih Sultan Mehmet Training and Research Hospital
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Contact:
- İlknur AKTAŞ, MD, Prof.
- Phone Number: +90 533 714 63 52
- Email: iaktas@hotmail.com
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients over the age of 18
- Clinical diagnosis of lymphoedema
- Clinical diagnosis of lipoedema
- Clinical diagnosis of venous insufficiency
Exclusion Criteria:
- Lack of medical history
- Lack of demographic data
- Lack of clinical data and
- Lack of imaging methods
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Diagnostic accuracy rate
Time Frame: 1 hour
|
Percentage of cases where the primary diagnosis (most likely diagnosis) was correctly determined.
The maximum percentage for each case was 100, and the minimum percentage was 0. Higher percentages mean a better outcome.
|
1 hour
|
|
Treatment adequacy rate
Time Frame: 1 hour
|
Percentage of treatment recommendations consistent with current guidelines.
The maximum percentage for each case was 100, and the minimum percentage was 0. Higher percentages mean a better outcome.
|
1 hour
|
|
Average criterion score
Time Frame: 1 hour
|
Average Likert score of two evaluators for each criterion.
The maximum score for each case was 40, and the minimum score was 8. higher scores mean a better outcome.
|
1 hour
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Overall performance score
Time Frame: 1 hour
|
Overall average of all criteria and cases.
The maximum score for each case was 40, and the minimum score was 8. higher scores mean a better outcome.
|
1 hour
|
Collaborators and Investigators
Investigators
- Principal Investigator: Yunus Emre DOĞAN, MD, Istanbul Fatih Sultan Mehmet Training and Research Hospital
- Study Chair: Feyza Akan Begoğlu, MD, Istanbul Fatih Sultan Mehmet Training and Research Hospital
- Study Chair: Mesut Canlı, MD, Istanbul Fatih Sultan Mehmet Training and Research Hospital
- Study Chair: İlknur Aktaş, MD, Prof., Istanbul Fatih Sultan Mehmet Training and Research Hospital
- Study Chair: Feyza ÜNLÜ ÖZKAN, MD, Prof., Istanbul Fatih Sultan Mehmet Training and Research Hospital
Publications and helpful links
General Publications
- Leypold T, Lingens LF, Beier JP, Boos AM. Integrating AI in Lipedema Management: Assessing the Efficacy of GPT-4 as a Consultation Assistant. Life (Basel). 2024 May 20;14(5):646. doi: 10.3390/life14050646.
- Eldaly AS, Avila FR, Torres-Guzman RA, Maita K, Garcia JP, Serrano LP, Forte AJ. Artificial intelligence and lymphedema: State of the art. J Clin Transl Res. 2022 Jun 1;8(3):234-242. eCollection 2022 Jun 29.
- Wojcik S, Rulkiewicz A, Pruszczyk P, Lisik W, Pobozy M, Domienik-Karlowicz J. Beyond ChatGPT: What does GPT-4 add to healthcare? The dawn of a new era. Cardiol J. 2023;30(6):1018-1025. doi: 10.5603/cj.97515. Epub 2023 Oct 13.
- Mesko B. The Impact of Multimodal Large Language Models on Health Care's Future. J Med Internet Res. 2023 Nov 2;25:e52865. doi: 10.2196/52865.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- FSMLYMPHEDEMA
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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