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Record W3168451941 · doi:10.1055/s-0041-1730698

A Retrospective Comparative Study of Four Different Transarterial Regimens for Treatment of Hepatocellular Carcinoma

2018· article· en· W3168451941 on OpenAlexaff
Abdulaziz Almat Hami, Hatim Alobaidi, Yousof Alzahrani, Rebecca Zener, Daniele Wiseman, Amol Mujoomdar

Bibliographic record

VenueThe Arab Journal of Interventional Radiology · 2018
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineHepatocellular carcinomaLipiodolRegimenRetrospective cohort studyDoxorubicinInternal medicineGastroenterologyCisplatinPortal vein thrombosisSurgeryChemotherapyThrombosis

Abstract

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Background: Transarterial chemoembolization (TACE) is known to be a valid palliative measure in treating hepatocellular carcinoma (HCC). Indeed, it is considered as the first option in treating patients with unresectable multinodular HCC in the absence of portal vein thrombosis or invasion with preserved liver function. Furthermore, chemoembolization is also used as an adjuvant therapy to prevent tumor progression or to downstage the tumor to meet the transplantation criteria. Despite that, there is no standardized treatment regimen for chemoembolization. This single-center retrospective study aims to compare four different regimens of TACE for the treatment of unresectable HCC to assess tumor response, time to progression (TTP), and median survival. Methods: Ninety-eight TACE procedures on 88 patients with unresectable HCC (77 males and 11 females; mean age 68.4 years) performed between June 2007 and July 2014 were included. Four groups based on the regimen were compared. This includes 10 patients treated with I-131-lipiodol combined with cisplatin and doxorubicin (Group A), 15 patients treated with cisplatin and doxorubicin mixed with lipiodol (Group B), 53 patients treated with doxorubicin mixed with lipiodol (Group C), and 10 patients treated with doxorubicin-eluting beads (DEB-TACE) (Group D). The outcome measures reviewed were imaging response, TTP, technical success, and median survival. The tumor measurements were analyzed based on mRECIST criteria. Statistical analysis was performed using ANOVA and post hoc Tukey’s test. Results: There is no statistically significant difference in the baseline tumor size among the study groups ( P = 0.67): (Group A: mean 7.9 cm, median 6.3 cm; Group B: mean 6.1 cm, median 5.6 cm; Group C: mean 6.2 cm, median 5.7 cm; and Group D: mean 6.0 cm, median 4.7 cm). A complete response to the treatment was slightly higher in Groups B and C (15% and 13%, respectively) compared to Groups A and D (10%). The median TTP was shorter in Group A (4 months) compared to (6 months) Groups B, C, and D. There is no significant difference in median survival among the study groups ( P = 0.96). Conclusion: Based on our review, there is no significant difference in imaging response, TTP, and survival between single agent TACE, dual agent TACE, radio-chemoembolization with dual agents, and DEB-TACE. Publication History Article published online: 11 May 2021 © 2018. The Arab Journal of Interventional Radiology. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/). Thieme Medical and Scientific Publishers Pvt. Ltd. A-12, 2nd Floor, Sector 2, Noida-201301 UP, India

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)0.000
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.129
GPT teacher head0.323
Teacher spread0.194 · 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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