Safety and Effectiveness of Transthoracic Core Needle Biopsy in a Newly Established Interventional Radiology Program in Tanzania
Bibliographic record
Abstract
Background Transthoracic core needle biopsy (TTCNB) became a routinely offered procedure in Tanzania in October 2018. This study evaluates the safety and effectiveness of establishing a TTCNB program in a resource-limited setting. Methodology A single center, prospective, observational cohort study was conducted at Muhimbili National Hospital on 90 patients who underwent computed tomography-guided TTCNB from October 2018 to May 2021. Patient and procedural data, including demographic information, complications, pathology results, and clinical outcomes, were stored in a Research Electronic Data Capture (REDCap) database. Follow-up was conducted at 4 weeks postprocedure by phone. Descriptive analysis was performed using Statistical Package for Social Sciences. Results A total of 90 patients underwent TTCNB. Seven samples were lost or never processed. In total, 68/83 (81.9%) of processed samples were diagnostic, with 89.7% ( n =61) classified as malignant and 10.3% ( n =7) classified as benign. Overall, 82.4% ( n =56) were classified as primary malignancies, 7.4% ( n =5) as metastatic malignancies, 5.9% ( n =4) as benign tumors, and 4.4% ( n =3) as infectious. Reasons for nondiagnostic samples were crashed/insufficient samples in 53.3% ( n =8) and nonspecific chronic inflammation in 46.7% ( n =7). Minor (Society of Interventional Radiology [SIR] class A and B) complications occurred in 8 cases (8.9%), while there was 1 (1.1%) major complication (SIR class F). A total of 44/90 (48.9%) patients could be reached for follow-up at 4 weeks postprocedure. In addition, 31/44 (70.5%) of these patients had a diagnosis of malignancy. Of these, 20 received chemotherapy, 8 died
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".