Breast Reconstruction Following Breast Implant–Associated Anaplastic Large Cell Lymphoma
Bibliographic record
Abstract
BACKGROUND: Standard of care treatment of breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) involves surgical resection with implant removal and complete capsulectomy. We report a case series of BIA-ALCL reconstruction with proposals for timing and technique selection. METHODS: We retrospectively reviewed and prospectively enrolled all BIA-ALCL patients at 2 tertiary care centers and 1 private plastic surgery practice from 1998 to 2017. Demographics, treatment, reconstruction, pathology staging, patient satisfaction, and oncologic outcomes were reviewed. RESULTS: We treated 66 consecutive BIA-ALCL patients and 18 (27%) received reconstruction. Seven patients (39%) received immediate reconstruction, and 11 (61%) received delayed reconstruction. Disease stage at presentation was IA (T1N0M0 disease confined to effusion or a layer on luminal side of capsule with no lymph node involvement and no distant spread) in 56%, IB in 17%, IC (T3N0M0 cell aggregates or sheets infiltrating the capsule, no lymph node involvement and no distant spread) in 6%, IIA (T4N0M0 lymphoma infiltrating beyond the capsule, no lymph node involvement and no distant spread) in 11%, and III in 11%. Types of reconstruction included smooth implants (72%), immediate mastopexy (11%), autologous flaps (11%), and fat grafting (6%). Outcomes included no surgical complications, but 1 patient progressed to widespread bone metastasis (6%); ultimately, all patients achieved complete remission. Ninety-four percent were satisfied/highly satisfied with reconstructions, whereas 6% were highly unsatisfied with immediate smooth implants. CONCLUSIONS: Breast reconstruction following BIA-ALCL management can be performed with acceptable complications if complete surgical ablation is possible. Immediate reconstruction is reserved for disease confined to capsule on preoperative positive emission tomography/computed tomography scan. Genetic predisposition and bilateral cases suggest that BIA-ALCL patients should not receive textured implants. Autologous options are preferable for implant adverse BIA-ALCL patients. Patients with extensive disease at presentation should be considered for 6- to 12-month delayed reconstruction with interval positive emission tomography/computed tomography evaluation.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".