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Record W2214920690 · doi:10.1200/jco.2015.64.8097

Can Stereotactic Body Radiotherapy Effectively Treat Hepatocellular Carcinoma?

2015· article· en· W2214920690 on OpenAlexaff
Aisling Barry, Jennifer J. Knox, Alice C. Wei, Laura A. Dawson

Bibliographic record

VenueJournal of Clinical Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineHepatocellular carcinomaRadiation therapyOncologyInternal medicineRadiology

Abstract

fetched live from OpenAlex

The Oncology Grand Rounds series is designed to place original reports published in the Journal into clinical context. A case presentation is followed by a description of diagnostic and management challenges, a review of the relevant literature, and a summary of the authors' suggested management approaches. The goal of this series is to help readers better understand how to apply the results of key studies, including those published in Journal of Clinical Oncology, to patients seen in their own clinical practice.A 78-year-old woman with a past medical history of hepatitis C virus (HCV) presented on routine examination to her family doctor with abnormal liver function tests. She was referred for liver ultrasound, which detected a liver mass. Multiphasic magnetic resonance imaging (MRI) diagnosed liver cirrhosis and a segment 7/8 lesion measuring 4 cm, suspicious for a hepatocellular carcinoma (HCC), without evidence of portal hypertension. Child-Pugh (CP) score (ranging from 5 to 15) is a clinically relevant measure of synthetic liver function, based on international normalized ratio and albumin and bilirubin levels, as well as presence or absence of ascites and encephalopathy. A score of A5 or 6 is associated with better postoperative survival compared with CP B7 to 9 or CP C10 to 15, in which surgery is contraindicated. Her CP score was A6, based on a low albumin of 34 g/L. Platelets were slightly depressed at 121,000 μL, and alpha-fetoprotein level was 89 μg/L. She had not received treatment of her HCV because of her age and low viral load. She does not drink alcohol. Clinically the patient had an Eastern Cooperative Oncology Group performance status (PS) of 1, no stigmata of chronic liver disease, and no ascites or encephalopathy or other associated clinical symptoms. An HCC multidisciplinary cancer conference recommended surgical resection. The patient was taken to the operating room for a planned liver nonanatomic wedge resection. At the time of laparotomy, extensive cirrhosis was found and resection was abandoned because of the high risk of liver failure. A biopsy was not obtained, as the tumor had classic arterial enhancement and washout on venous and delayed-phase computed tomography (CT) imaging, which is diagnostic for HCC. After laparotomy, the patient developed liver insufficiency manifested by new ascites and peripheral edema, treated with diuretics, a low-salt diet, and fluid restriction. She was discharged home after a week and referred for a radiation oncology opinion. Three months after laparotomy, her liver function had recovered, with resolution of her ascites and PS of 2. It was decided to proceed with nonsurgical local therapy to the liver mass with curative intent.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.221
GPT teacher head0.413
Teacher spread0.192 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations19
Published2015
Admission routes1
Has abstractyes

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