Posttransplant lymphoproliferative disorder: A pictorial review
Bibliographic record
Abstract
Posttransplant lymphoproliferative disorder (PTLD) is a serious and potentially fatal complication after solid organ and haemopoietic stem cell transplantation. The frequency of PTLD varies with the type of organ transplant but overall it affects 2-10% of all solid organ transplant recipients. Most cases develop within 1 year after the transplant, although occasional cases present 5-10 years later. Posttransplant lymphoproliferative disorder is clinically and pathologically heterogeneous - the majority are of the non-Hodgkin's lymphoma type, whereas Hodgkin's lymphoma arising after transplantation is rare. We have retrospectively reviewed patients with a histological diagnosis of PTLD after a solid organ transplant. We present the imaging features and a clinical review of this condition. Early diagnosis of PTLD may alter the management and outcome of the disease. The radiologist can play a vital role in establishing the diagnosis by imaging features supplemented with percutaneous biopsy and also in monitoring the disease response to treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.006 |
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 source (direct Gemma or distilled Codex), 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".