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Record W3176976111 · doi:10.1002/hon.35_2880

CLINICAL UTILITY OF INTERIM CT SCANS IN PATIENTS RECEIVING CHEMOIMMUNOTHERAPY FOR FIRST LINE TREATMENT OF FOLLICULAR LYMPHOMA

2021· article· en· W3176976111 on OpenAlexaffabout
Farheen Manji, Sita Bhella, Robert Kridel, Vishal Kukreti, John Kuruvilla, Anca Prica, Michael Crump

Bibliographic record

VenueHematological Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineChemoimmunotherapyRituximabFollicular lymphomaInternal medicineSurgeryInterim analysisPrednisoneVincristineProgressive diseaseCyclophosphamideClinical trialLymphomaChemotherapy

Abstract

fetched live from OpenAlex

Interim imaging with computed tomography scanning (CT) has been performed midway through treatment during most clinical trials of chemoimmunotherapy in patients with follicular lymphoma (FL) receiving first line systemic therapy. Based on this, interim imaging is commonly performed, but there is little evidence of its utility in clinical practice. The objective of this study was to retrospectively review the outcomes of interim CTs (iCT) in adult patients with biopsy proven FL (grade 1-3a, 3b excluded) who met criteria for treatment and received first line therapy with rituximab with cyclophosphamide, vincristine and prednisone (RCVP) or bendamustine and rituximab (BR) at Princess Margaret Cancer Centre from January 1 2003- December 31 2018. Baseline patient characteristics and treatment were retrieved from a prospectively populated database, and results of interim and end of treatment CTs were evaluated from the electronic medical record. Disease response was assessed using Lugano response criteria as partial response (PR), complete response (CR), stable disease (SD) or progressive disease (PD). Descriptive statistics and Kaplan Meier Survival functions with a log rank test were used for analysis. The study was approved by the Princess Margaret Research Ethics Board. A total of 190 patients were identified: mean age at diagnosis 58.6 years (IQR 49.2-67.8), 78% with stage III/IV disease, 26.8% bulky (>10cm) and 41.1% FLIPI score >2. Patients received either 6-8 cycles of RCVP (n = 69, 36.3%) or 6 cycles of BR (n = 121, 63.7%) with a median follow up of 75 months (range 6.6-204.0 months). Most patients (n = 177,93.1%) had interim imaging done between the end of cycle 2 and prior to cycle 5, most commonly CT scan (n = 174,91.5%). Most iCTs showed a PR (n = 147, 77.4 %), with a minority showing a CR (n = 15, 7.9%) and SD (n = 8, 4.2 %). Seven patients (3.7%) had PD noted on iCT. Four patients had a second malignancy identified on repeat biopsy of lesions found on iCT (thymoma, poorly differentiated carcinoma, lung adenocarcinoma and spindle cell tumour), 2 of whom were symptomatic at the time of imaging. Of the 3 remaining patients, 2 were symptomatic at the time of iCT and only 1 had asymptomatic PD; all 3 had biopsies demonstrating transformation to diffuse large B cell lymphoma (DLBCL). The 3 year PFS of all patients was 85.29%. Patients with a PR on iCT had similar 3 year PFS compared to those with CR (86.25% vs 85.71%, p = .80) as well as overall survival (94.46% vs 92.31%, p = 0.58). Conclusion: iCT is not useful in identifying patients with asymptomatic early progression of FL during frontline treatment with BR or RCVP. The majority of patients receiving systemic treatment for FL with BR or RCVP have at least a PR on iCT, which is not associated with inferior PFS or OS compared to those with CR. Patients with symptomatic or asymptomatic PD during treatment warrant biopsy to identify histologic transformation or other malignancies. EA – previously submitted to ASCO 2021. The research was funded by: The Princess Margaret Cancer Foundation Keywords: Indolent non-Hodgkin lymphoma Conflicts of interests pertinent to the abstract S. Bhella Consultant or advisory role: Celgene R. Kridel Research funding: Gilead Sciences, Roche V. Kukreti Consultant or advisory role: Kirin Kyoto J. Kuruvilla Consultant or advisory role: Abbvie, BMS, Gilead, Karyopharm, Merck, Roche, Seattle Genetics Honoraria: Amgen, Antengene, Astra Zeneca, BMS, Gilead, Incyte, Janssen, Karyopharm, Merck, Novartis, Pfizer, Roche, Seattle Genetics, TG Therapeutics Research funding: Canadian Cancer Society, Leukemia and Lymphoma Society Canada, Princess Margaret Cancer Foundation, Janssen, Roche, Astra Zeneca Other remuneration: Lymphoma Canada (Chair) A. Prica Honoraria: Astra-Zeneca, Gilead M. Crump Honoraria: Kite/Gilead, Novartis, Servier Research funding: Roche, epizyme

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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)0.0000.000

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 head0.077
GPT teacher head0.390
Teacher spread0.313 · 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.

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
Published2021
Admission routes2
Has abstractyes

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