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Record W3030318971 · doi:10.7759/cureus.8378

Case of a Long-Time Survivor with Recurrent Multiple Brain Metastases from Lung Cancer: Terminal Stage Cancer or Chronic Disease

2020· article· en· W3030318971 on OpenAlexaff
Ming Pan

Bibliographic record

VenueCureus · 2020
Typearticle
Languageen
FieldMedicine
TopicBrain Metastases and Treatment
Canadian institutionsWindsor Regional Hospital
Fundersnot available
KeywordsMedicineBrain metastasisLung cancerCancerRadiation therapyStage (stratigraphy)RadiologyBiopsyMetastasisLungOncologyInternal medicine

Abstract

fetched live from OpenAlex

Lung cancer with brain metastasis has a poor prognosis and has always been treated with palliative intent in the past. We report a case of good response to two courses of whole brain irradiation (WBI) and one course of hypofractionated stereotactic radiotherapy (HSRT) over a nine-year period, with no significant neurotoxicity. We present the case of a 43-year-old non-smoker female with biopsy-proven adenocarcinoma of right lower lobe lung, stage T1N2M0, positive for anaplastic lymphoma kinase (ALK). She received concurrent 60-Gy chemoradiation in 30 fractions in 2010. She had no local recurrence, but biopsy confirmed distant metastases in neck lymph nodes nine months later. As a result of a 3-cm brain metastasis in the right cerebellum on computed tomography (CT), she received 20-Gy WBI in five fractions. We did not treat any other distant metastases with radiation. She only received systemic tyrosine kinase inhibitors (TKIs). Four years after the first WBI, she developed headaches and balance problem. MRI showed at least nine metastatic lesions in the brain. She had a craniotomy to remove the largest 4-cm lesion in the right cerebellum followed by 21-Gy WBI in seven fractions. Her symptoms disappeared, and she went back to her normal life. Another MRI three years after the second WBI showed progression of the largest brain metastases in the right cerebellum. We offered her 20-Gy HSRT in five fractions every other day. She tolerated HSRT very well, with no neurotoxicity. She was able to walk without a walker or cane. She could manage all her daily activities. On examination, there was no neurological deficit. CT scan nine months after HSRT showed excellent local control. Stage 4 non-small cell lung cancer with positive ALK can have a good response to TKI, and long survival is possible even with multiple brain metastases. Not all patients will have severe neurotoxicity after multiple courses of WBI. HSRT can be a good alternative treatment to symptomatic brain metastases if craniotomy is not desirable. The acute and late toxicities can be reasonably tolerated. Long-term local control and good quality of life are achievable.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.255
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.039
GPT teacher head0.334
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2020
Admission routes1
Has abstractyes

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