MétaCan
Menu
← Back to cohort

Impact of PET Staging of Follicular Lymphoma on Treatment Outcomes and Prognosis

2017· article· en· W3165001243 on OpenAlexaboutno aff
Anna Alperovich, Connie Lee Batlevi, Andrew M. Intlekofer, Craig H. Moskowitz, Steven M. Horwitz, Andrew D. Zelenetz, Maria Lia Palomba, Alison J. Moskowitz, John F. Gerecitano, Paul A. Hamlin, Matthew J. Matasar, Craig S. Sauter, Anita Kumar, Ariela Noy, David J. Straus, Carol S. Portlock, Audrey Hamilton, Pamela Drullinsky, Philip Caron, Ai Ni, Venkatraman Seshan, Anas Younes

Bibliographic record

VenueBlood · 2017
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsFollicular lymphomaMedicineOncologyInternal medicineLymphomaRituximab

Abstract

fetched live from OpenAlex

Abstract Introduction Early relapse after frontline therapy of follicular lymphoma (FL) has been previously shown to correlate with a shorter survival. However, earlier studies were analyzed based on standard CT scan imaging. In this study, we examined the impact of early relapse on FL survival using 18FDG PET (PET) imaging. Patients and Methods We identified 1,120 patients (≥ 18 years) with follicular lymphoma (FL) diagnosed between 1998 and 2009 excluding those with ≤2 visits, divergent histology at initial diagnosis, and presence of concurrent malignancy. OS was defined as time of diagnosis to last follow up or death. Patients were excluded from event free survival analysis if they were never treated, or died before or during frontline treatment. Achieving event free survival at 24 mo (EFS24) was defined as being alive and event free 24 months from start of treatment. Not achieving EFS24 was defined as being alive but having an event by 24 months from start of treatment. An event was progression or change of treatment. Subsequent OS was defined as time from 24 months after start of treatment to last follow up or death and was compared between patients who achieved or did not achieve EFS24 by Kaplan-Meier method and log-rank test. Results Stage at diagnosis for 1,110 patients was I, N=196; II, N=143; III-IV, N=745. Median age of diagnosis was 57 years with 51% males. With a median follow up of 8.2 years (range 0.2-17.5 years), median overall survival was not reached. At diagnosis, 676 patients were imaged with PET while 408 patients were imaged with CT. Stage I and II patients imaged with a PET at diagnosis had a significantly better OS than those imaged with a CT scan (log-rank p=0.003 and 0.041, respectively) (Figure 1A-B). In advanced stage patients (III/IV), PET versus CT imaging did not affect OS (Figure 1C). For stage I patients the 10-year OS was 82% using CT imaging and 94% using PET imaging. For stage II patients 10 year OS was 68% by CT imaging and 90% by PET imaging. We subsequently analyzed the predictive value of EFS24 using PET imaging using a subset of 303 stage II-IV FL patients treated with RCHOP as frontline therapy evaluable for EFS24 (Figure 2A). CT imaged patients demonstrated a better OS benefit for patients achieving EFS24 (Figure 2B). In contrast, the impact of EFS24 on OS was insignificant for PET imaged patients (Figure 2C). The 10 year OS for CT imaged patients was 83% (95% CI 74-93%) for those achieving EFS24, and 41% (95% CI 20-84%) for those not achieving EFS24. For patients imaged with PET prior to first treatment, 10 year OS was 80% (95% CI 69-93%) for those achieving EFS24, and 75% (95% CI 61-92%) for those not achieving EFS24. Conclusion Use of PET imaging is an increasingly common practice in management of lymphoma. Analyzing the overall survival of PET imaging versus CT imaged patients, PET imaging at diagnosis more accurately predicts overall survival for stage I and II patients. EFS24 as examined using CT based imaging has been proposed to inform OS in FL. In this single center subset, the predictive value of EFS24 is not observed in patients imaged with PET at the time of treatment. Therefore, EFS24 as a clinical marker for poor outcome may need to be re-examined using modern PET imaging. In conclusion, PET imaging is an important component of the management of FL for appropriate staging and assessment of prognosis. Download : Download high-res image (240KB) Download : Download full-size image Disclosures Moskowitz: Genentech BioOncology: Consultancy; Merck: Consultancy, Research Funding; Pharmacyclics: Research Funding; Celgene: Consultancy; Seattle Genetics: Consultancy, Other: Ad Board, Research Funding. Horwitz: Kyowa-Hakka-Kirin: Consultancy, Research Funding; Forty-Seven: Consultancy, Research Funding; Infinity/Verastem: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; ADCT Therapeutics: Research Funding; Mundipharma: Consultancy; Celgene: Consultancy, Research Funding; Millenium/Takeda: Consultancy, Research Funding; Aileron Therapeutics: Research Funding; BMS: Consultancy; HUYA: Consultancy. Zelenetz: Celgene: Consultancy; Amgen: Consultancy. Moskowitz: Seattle Genetics: Honoraria, Research Funding; ADC Therapeutics: Research Funding; Incyte: Research Funding; Takeda: Honoraria; Bristol Myers-Squibb: Consultancy, Research Funding. Gerecitano: Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees; Genentech: Honoraria, Membership on an entity's Board of Directors or advisory committees; Mass Medical International: Honoraria, Membership on an entity's Board of Directors or advisory committees; Orexo: Honoraria, Membership on an entity's Board of Directors or advisory committees; Royal Bank of Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees; Arcus Medica: Consultancy, Membership on an entity's Board of Directors or advisory committees; Aratana: Consultancy, Membership on an entity's Board of Directors or advisory committees; Samus Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees. Hamlin: Seattle Geneitcs: Other: research support; Novartis: Other: research support; Incyte: Other: research support; Gilead: Consultancy, Honoraria; Portola: Consultancy, Honoraria, Other: research support; Celgene: Consultancy, Honoraria. Kumar: Celgene: Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Research Funding. Noy: Pharmacyclics LLC, an AbbVie Company: Honoraria, Other: Travel, Accommodation, Expenses, Research Funding, Speakers Bureau. Straus: Received consulting fee from Seattle Genetics for involvement in the research: Consultancy. Drullinsky: Seattle Genetics: Honoraria, Other: Ad Board. Younes: Sanofi: Honoraria; Bayer: Honoraria; Janssen: Honoraria; Roche: Consultancy, Honoraria, Other: Third-party medical writing assistance, under the direction of Anas Younes, was provided by Scott Malkin of Gardiner-Caldwell Communications, and was funded by F. Hoffmann-La Roche Ltd.; Curis: Research Funding; Celgene: Honoraria; Seattle Genetics: Honoraria; Novartis: Research Funding; Takeda Millenium: Honoraria; Johnson & Johnson: Research Funding; Incyte: Honoraria; Bristol-Myers Squibb: Honoraria; Merck: Honoraria.

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)0.002
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 score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.023
GPT teacher head0.316
Teacher spread0.293 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicLymphoma Diagnosis and Treatment→French-language works237,207→