Citations

Objectives The current lack of agreement regarding standardized terminology in musculoskeletal and sports ultrasound presents challenges in education, clinical practice, and research. This consensus was developed to provide a reference to improve clarity and consistency in communication. Methods A multidisciplinary expert panel was convened consisting of 18 members representing multiple specialty societies identified as key stakeholders in musculoskeletal and sports ultrasound. A Delphi process was used to reach consensus which was defined as group level agreement >80%. Results Content was organized into seven general topics including: 1) General Definitions, 2) Equipment and Transducer Manipulation, 3) Anatomic and Descriptive Terminology, 4) Pathology, 5) Procedural Terminology, 6) Image Labeling, and 7) Documentation. Terms and definitions which reached consensus agreement are presented herein. Conclusions The historic use of multiple similar terms in the absence of precise definitions has led to confusion when conveying information between colleagues, patients, and third‐party payers. This multidisciplinary expert consensus addresses multiple areas of variability in diagnostic ultrasound imaging and ultrasound‐guided procedures related to musculoskeletal and sports medicine.

BACKGROUNDPatients with renal cell carcinoma (RCC) brain metastases are frequently treated with immune checkpoint inhibitors (ICIs) and stereotactic radiosurgery (SRS). However, data reporting on the risk of developing radiation necrosis (RN) are limited.METHODSRN rates were compared for concurrent therapy (ICI/SRS administration within 4 weeks of one another) and nonconcurrent therapy with the χ2 test. Univariable logistic regression was used to identify factors associated with developing RN.RESULTSFifty patients (23 concurrent and 27 nonconcurrent) with 395 brain metastases were analyzed. The median follow‐up was 12.1 months; the median age was 65 years. The median margin dose was 20 Gy, and 4% underwent prior whole‐brain radiation therapy (WBRT). The median treated tumor volume was 3.32 cm3 (range, 0.06‐42.38 cm3); the median volume of normal brain tissue receiving a dose of 12 Gy or higher (V12 Gy) was 8.42 cm3 (range, 0.27‐111.22 cm3). Any‐grade RN occurred in 17.4% and 22.2% in the concurrent and nonconcurrent groups, respectively (P = .67). Symptomatic RN occurred in 4.3% and 14.8% in the concurrent and nonconcurrent groups, respectively (P = .23). Increased tumor volume during SRS (odds ratio [OR], 1.08; 95% confidence interval [CI], 1.01‐1.19; P = .04) was associated with developing RN, although V12 Gy (OR, 1.03; 95% CI, 0.99‐1.06; P = .06), concurrent therapy (OR, 0.74; 95% CI, 0.17‐2.30; P = .76), prior WBRT, and ICI agents were not statistically significant.CONCLUSIONSSymptomatic RN occurs in a minority of patients with RCC brain metastases treated with ICI/SRS. The majority of events were grade 1 to 3 and were managed medically. Concurrent ICI/SRS does not appear to increase this risk. Attempts to improve dose conformality (reduce V12) may be the most successful mitigation strategy in single‐fraction SRS.

Abstract Background There is controversy regarding the postoperative outcomes in Crohn’s disease [CD] patients exposed to vedolizumab [VDZ] or ustekinumab [UST]. We aimed to describe our surgical outcomes in patients who underwent minimally invasive ileocolonic resection [MIS-ICR] for CD who had preoperative biologic therapy. Methods All consecutive adult patients who had MIS-ICR for CD between 2014 and 2021 at our institution were included. Patients were divided into four groups: VDZ, UST, anti-tumour necrosis factor [anti-TNF], and no biologic group. Timing between the last dose of biologics and surgery was per surgeon’s discretion. The primary outcome was intra-abdominal septic complications. Secondary outcomes included all 30-day complications. Results A total of 274 patients were identified. Of these, 113 [41.2%] patients had received anti-TNF, 52 [19%] had received UST, and 19 [7%] had received VDZ. There was no difference between the four groups regarding baseline risk factors. There was no difference between the four groups regarding intra-abdominal septic complications [4.4% for no biologic, 5.3% for anti-TNF, 5.8% for UST, and 5.3% for VDZ; p = 0.987], surgical site infection rate, overall 30-day morbidity, overall 30-day readmission, overall surgical and medical complications, urinary tract infection, pulmonary infections, or length of stay. Those results were consistent after a subgroup analysis based on complexity of the disease. Conclusions This retrospective analysis demonstrates an equivalent postoperative safety profile for patients treated with preoperative anti-TNF, VDZ, or UST versus no biologic therapy within 3 months of MIS-ICR for Crohn’s disease. Preoperative biologic therapy may not increase complications after minimally invasive ileocolonic resection in Crohn’s disease. Further studies with larger sample sizes are needed to confirm results.

Abstract Aim The aim of this study was to describe the surgical management, outcomes and risk of malignancy of presacral tailgut cysts. Method A retrospective analysis of all patients who underwent resection of tailgut cyst at Mayo Clinic in Arizona, Florida and Minnesota between 2008 and 2020 was performed. Demographics, presentation, evaluation, surgical approach, postoperative complications, pathology and recurrence rates were reviewed. Results Seventy‐three patients were identified (81% female) with a mean age of 45 years. Thirty‐nine patients (53%) were symptomatic, most commonly with pelvic pain (26 patients). Digital rectal examination identified a palpable mass in 68%. Mean tumour size was 6 cm. Resection was primarily performed through a posterior approach (77%, n = 56), followed by a transabdominal approach (18%, n = 13) and a combined approach (5%, n = 4). Six patients underwent a minimally invasive resection (laparoscopic/robotic). Coccygectomy or distal sacrectomy was performed in 41 patients (56%). Complete resection was achieved in 94% of patients. Thirty‐day morbidity occurred in 18% and was most commonly wound related; there was no mortality. Malignancy was identified in six patients (8%). For the 30 patients with follow‐up greater than 1 year, the median follow‐up was 39 months (range 1.0–11.1 years). Local recurrence was identified in three patients and distant metastatic disease in one patient. Conclusion The rate of malignancy in presacral tailgut cysts based on this current review was 8%. Overall recurrence was 5% at a median of 24 months.

(1) Background: COVID-19 computed tomography (CT) lung segmentation is critical for COVID lung severity diagnosis. Earlier proposed approaches during 2020–2021 were semiautomated or automated but not accurate, user-friendly, and industry-standard benchmarked. The proposed study compared the COVID Lung Image Analysis System, COVLIAS 1.0 (GBTI, Inc., and AtheroPointTM, Roseville, CA, USA, referred to as COVLIAS), against MedSeg, a web-based Artificial Intelligence (AI) segmentation tool, where COVLIAS uses hybrid deep learning (HDL) models for CT lung segmentation. (2) Materials and Methods: The proposed study used 5000 ITALIAN COVID-19 positive CT lung images collected from 72 patients (experimental data) that confirmed the reverse transcription-polymerase chain reaction (RT-PCR) test. Two hybrid AI models from the COVLIAS system, namely, VGG-SegNet (HDL 1) and ResNet-SegNet (HDL 2), were used to segment the CT lungs. As part of the results, we compared both COVLIAS and MedSeg against two manual delineations (MD 1 and MD 2) using (i) Bland–Altman plots, (ii) Correlation coefficient (CC) plots, (iii) Receiver operating characteristic curve, and (iv) Figure of Merit and (v) visual overlays. A cohort of 500 CROATIA COVID-19 positive CT lung images (validation data) was used. A previously trained COVLIAS model was directly applied to the validation data (as part of Unseen-AI) to segment the CT lungs and compare them against MedSeg. (3) Result: For the experimental data, the four CCs between COVLIAS (HDL 1) vs. MD 1, COVLIAS (HDL 1) vs. MD 2, COVLIAS (HDL 2) vs. MD 1, and COVLIAS (HDL 2) vs. MD 2 were 0.96, 0.96, 0.96, and 0.96, respectively. The mean value of the COVLIAS system for the above four readings was 0.96. CC between MedSeg vs. MD 1 and MedSeg vs. MD 2 was 0.98 and 0.98, respectively. Both had a mean value of 0.98. On the validation data, the CC between COVLIAS (HDL 1) vs. MedSeg and COVLIAS (HDL 2) vs. MedSeg was 0.98 and 0.99, respectively. For the experimental data, the difference between the mean values for COVLIAS and MedSeg showed a difference of <2.5%, meeting the standard of equivalence. The average running times for COVLIAS and MedSeg on a single lung CT slice were ~4 s and ~10 s, respectively. (4) Conclusions: The performances of COVLIAS and MedSeg were similar. However, COVLIAS showed improved computing time over MedSeg.

Abstract Mature T-cell lymphomas constitute the most common indication for allogeneic hematopoietic cell transplantation (allo-HCT) of all lymphomas. Large studies evaluating contemporary outcomes of allo-HCT in mature T-cell lymphomas relative to commonly used donor sources are not available. Included in this registry study were adult patients who had undergone allo-HCT for anaplastic large cell lymphoma, angioimmunoblastic T-cell lymphoma (AITL), or peripheral T-cell lymphoma not otherwise specified (PTCL-NOS) between 2008 and 2018. Hematopoietic cell transplantation (HCT) platforms compared were posttransplant cyclophosphamide-based haploidentical (haplo-)HCT, matched sibling donor (MSD) HCT, matched unrelated donor HCT with in vivo T-cell depletion (MUD TCD+), and matched unrelated donor HCT without in vivo T-cell depletion (MUD TCD−). Coprimary end points were overall survival (OS) and progression-free survival (PFS); secondary end points included nonrelapse mortality (NRM), and relapse/progression incidence (RI). A total of 1942 patients were eligible (237 haplo-HCT; 911 MSD; 468 MUD TCD+; 326 MUD TCD−). Cohorts were comparable for baseline characteristics with the exception of higher proportions of patients with decreased performance status (PS) and marrow graft recipients in the haplo-HCT group. Using univariate and multivariate comparisons, OS, PFS, RI, and NRM were not significantly different among the haplo-HCT, MSD, MUD TCD+, and MUD TCD− cohorts, with 3-year OS and PFS of 60%, 63%, 59%, and 64%, respectively, and 50%, 50%, 48%, and 52%, respectively. Significant predictors of inferior OS and PFS on multivariate analysis were active disease status at HCT and decreased PS. AITL was associated with significantly reduced relapse risk and better PFS compared with PTCL-NOS. Allo-HCT can provide durable PFS in patients with mature T-cell lymphoma (TCL). Outcomes of haplo-HCT were comparable to those of matched donor allo-HCT.

Background: Atherosclerosis is the primary cause of the cardiovascular disease (CVD). Several risk factors lead to atherosclerosis, and altered nutrition is one among those. Nutrition has been ignored quite often in the process of CVD risk assessment. Altered nutrition along with carotid ultrasound imaging-driven atherosclerotic plaque features can help in understanding and banishing the problems associated with the late diagnosis of CVD. Artificial intelligence (AI) is another promisingly adopted technology for CVD risk assessment and management. Therefore, we hypothesize that the risk of atherosclerotic CVD can be accurately monitored using carotid ultrasound imaging, predicted using AI-based algorithms, and reduced with the help of proper nutrition. Layout: The review presents a pathophysiological link between nutrition and atherosclerosis by gaining a deep insight into the processes involved at each stage of plaque development. After targeting the causes and finding out results by low-cost, user-friendly, ultrasound-based arterial imaging, it is important to (i) stratify the risks and (ii) monitor them by measuring plaque burden and computing risk score as part of the preventive framework. Artificial intelligence (AI)-based strategies are used to provide efficient CVD risk assessments. Finally, the review presents the role of AI for CVD risk assessment during COVID-19. Conclusions: By studying the mechanism of low-density lipoprotein formation, saturated and trans fat, and other dietary components that lead to plaque formation, we demonstrate the use of CVD risk assessment due to nutrition and atherosclerosis disease formation during normal and COVID times. Further, nutrition if included, as a part of the associated risk factors can benefit from atherosclerotic disease progression and its management using AI-based CVD risk assessment.

Abstract Background: In the ELARA (E2202) trial (NCT03568461), tisagenlecleucel (tisa-cel) demonstrated high response rates in patients with relapsed/refractory follicular lymphoma (r/r FL), including those with high-risk disease, with an overall response rate (ORR) of 86% and complete response rate (CRR) of 66%. As ELARA did not include a comparator arm, an adjusted indirect treatment comparison (ITC) using patient-level data from a global retrospective cohort study was conducted. This study aimed to provide comparative, contextual evidence to the efficacy outcomes of tisa-cel from ELARA relative to standard of care (SOC) in routine practice. Methods: ELARA is an ongoing, single-arm, global, multicenter, phase II trial which evaluates the efficacy and safety of tisa-cel in adult patients with r/r FL. As of March 29, 2021, 98 patients were enrolled with a median follow-up of 15 months. SOC data were obtained from ReCORD-FL, a global retrospective cohort study of clinical outcomes in patients with r/r FL meeting the ELARA eligibility criteria who were treated per routine practice at 10 academic centers across North America and Europe; 7 ReCORD-FL sites are also participating in ELARA, but no patients are enrolled in both studies. In ReCORD-FL, with a data cutoff date of December 31, 2020, a total of 187 patients with ≥2 lines of previous treatment were identified for inclusion, with a median follow-up from third-line of 57 months. A complete-case comparison analysis was performed for 97 ELARA apheresed patients and 143 ReCORD-FL patients with complete data on all baseline variables and prognostic factors used for adjustment. For the comparative analysis, one line of therapy (LoT) per patient was selected using a propensity score model to identify the LoT which had the highest chance of being enrolled in ELARA conditional on baseline characteristics and prognostic factors available at the start of the LoT (i.e., the selected LoT was the one with the highest propensity score to be in ELARA). After selection of LoT, an adjusted ITC was performed to assess the effect of tisa-cel versus SOC by measuring CRR, ORR, progression-free survival (PFS), overall survival (OS), and time to next treatment (TTNT). A subgroup analysis of SOC patients with ≥1 eligible LoT initiated from 2014 on (coinciding with the introduction of the Lugano response criteria as well as regulatory approval of idelalisib) was performed for all endpoints. Results: Baseline characteristics for the tisa-cel and SOC cohorts are described in Table 1; after weighting, baseline variables, including number of previous lines of systemic therapy (median: 4 lines) were well balanced between the tisa-cel and SOC cohorts. Treatment regimens observed for ReCORD-FL patients at LoT selection were: anti-CD20 antibody plus alkylator (31.5% of patients), anti-CD20 antibody without alkylator (25.9%), alkylator without anti-CD20 antibody (17.5%), and regimens other than anti-CD20 antibody and alkylator (25.2%). After LoT selection and adjusting for differences in baseline variables, tisa-cel was associated with improvement over SOC in CRR (69.1% vs. 37.3%), ORR (85.6% vs. 63.6%), as well as PFS, TTNT and OS (Table 2, Figures 1-2), with a numerically higher 6-month PFS rate vs. SOC (85.3% vs. 66.5%), as well as higher 24-month OS rate (87.8% vs. 64.8%). Further, there was an estimated 80% reduction in death risk in favor of tisa-cel over SOC, a 40% reduction in risk of progression in favor of tisa-cel over SOC and a 69% reduction in risk of death or requiring a new anticancer therapy (Table 1). In the sub-analysis of SOC patients with lines of therapy initiated in or after 2014, the superiority of tisa-cel over SOC was confirmed in all the efficacy outcomes (CRR: 69.1% vs. 30.5%; ORR: 85.6% vs. 58.8%; hazard ratios substantially &lt; 1 for OS, PFS, TTNT). Conclusion: The ITC results suggest that tisa-cel has superior efficacy over SOC in r/r FL for all evaluated endpoints. A key limitation of this study is that response assessment criteria and schedule was more heterogeneous in ReCORD-FL than in ELARA. However, the sub-analysis on SOC patients assessed with a LoT selected in 2014 or later (when more patients could have been assessed using the Lugano response criteria) showed similar favorability for tisa-cel over SOC in all the efficacy outcomes. Moreover, outcome parameters independent of response criteria, namely OS and TTNT, were also significantly better for tisa-cel vs. SOC. Figure 1 Figure 1. Disclosures Salles: Abbvie, Epizyme, Morphosys, Regeneron: Consultancy, Honoraria; Bayer: Honoraria; Beigene, BMS/Celgene, Debiopharm, Genentech/Roche, Genmab, Incyte, Ipsen, anssen, Novartis. Kite/Gilead, Loxo, Miltneiy, Rapt, TAKEDA, Velosbio, Allogene: Consultancy. Schuster: Acerta Pharma/AstraZeneca: Consultancy; Alimera Sciences: Consultancy; BeiGene: Consultancy; Juno Theraputics: Consultancy, Research Funding; Loxo Oncology: Consultancy; Tessa Theraputics: Consultancy; Genentech/Roche: Consultancy, Research Funding; Merck: Research Funding; Pharmacyclics: Research Funding; Adaptive Biotechnologies: Research Funding; Incyte: Research Funding; TG Theraputics: Research Funding; Novartis: Consultancy, Honoraria, Patents & Royalties, Research Funding; Abbvie: Consultancy, Research Funding; Nordic Nanovector: Consultancy; Celgene: Consultancy, Honoraria, Research Funding. Dreyling: BeiGene: Consultancy; Celgene: Consultancy, Research Funding, Speakers Bureau; Amgen: Speakers Bureau; Genmab: Consultancy; Gilead/Kite: Consultancy, Research Funding, Speakers Bureau; Incyte: Consultancy, Speakers Bureau; Janssen: Consultancy, Research Funding, Speakers Bureau; Novartis: Consultancy, Speakers Bureau; Roche: Consultancy, Research Funding, Speakers Bureau; Abbvie: Research Funding; Astra Zeneca: Consultancy, Speakers Bureau; Bayer HealthCare Pharmaceuticals: Consultancy, Research Funding, Speakers Bureau. Kuruvilla: AbbVie: Honoraria; Amgen: Honoraria; AstraZeneca: Honoraria, Research Funding; Antengene: Honoraria; Roche: Honoraria, Research Funding; Incyte: Honoraria; BMS: Honoraria; Merck: Honoraria; Janssen: Honoraria, Research Funding; Karyopharm: Honoraria, Other: Data and Safety Monitoring Board; Novartis: Honoraria; Medison Ventures: Honoraria; Pfizer: Honoraria; Gilead: Honoraria; Seattle Genetics: Honoraria; TG Therapeutics: Honoraria. Patten: ROCHE: Research Funding; GILEAD SCIENCES: Honoraria, Research Funding; ABBVIE: Honoraria; NOVARTIS: Honoraria; ASTRA ZENECA: Honoraria; JANSSEN: Honoraria. Von Tresckow: AbbVie: Other: Congress and travel support; Amgen: Consultancy, Honoraria; AstraZeneca: Honoraria, Other: Congress and travel support; BMS-Celgene: Consultancy, Honoraria, Other: Congress and travel support; Kite-Gilead: Consultancy, Honoraria; MSD: Consultancy, Honoraria, Other: Congress and travel support, Research Funding; Novartis: Consultancy, Honoraria, Other: Congress and travel support, Research Funding; Pentixafarm: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Roche: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Other, Research Funding. Smith: Alexion, AstraZeneca Rare Disease: Other: Study investigator; Celgene, Genetech, AbbVie: Consultancy. Davis: Novartis, Vertex Pharmaceuticals, Pfizer, Eisai, Eli Lilly, AstraZeneca: Research Funding. Anjos: Novartis: Current Employment. Chu: Novartis: Current Employment, Current equity holder in publicly-traded company. Zhang: Novartis: Current Employment, Current equity holder in publicly-traded company. Lobetti Bodoni: Spouse: Harlcok Healthcare: Current holder of individual stocks in a privately-held company; Spouse: Takeda: Consultancy, Honoraria, Speakers Bureau; Spouse: Celgene: Honoraria; Spouse: Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Spouse: Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Spouse: Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees; Spouse: NHS: Ended employment in the past 24 months; Spouse: F. Hoffmann-La Roche: Current Employment, Current equity holder in publicly-traded company; Gilead: Other: Travel sponsorship in June 2019; Novartis: Current Employment, Current equity holder in publicly-traded company. Thieblemont: Kyte: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses ; Gilead Sciences: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses ; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses , Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses ; Bristol Myers Squibb/Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses ; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses ; Cellectis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses ; Hospira: Research Funding; Bayer: Honoraria; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses . Fowler: BostonGene, Corp: Current Employment, Current holder of stock options in a privately-held company; Bristol Myers Squibb, F. Hoffmann-La Roche Ltd, TG Therapeutics and Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding. Dickinson: Janssen: Consultancy, Honoraria; Takeda: Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria; MSD: Consultancy, Honoraria, Research Funding, Speakers Bureau; Gilead Sciences: Consultancy, Honoraria, Speakers Bureau; Amgen: Honoraria; Celgene: Research Funding; Roche: Consultancy, Honoraria, Other: travel, accommodation, expenses, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau. Martinez-Lopez: Novartis: Consultancy, Speakers Bureau; BMS: Consultancy, Research Funding, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Incyte: Consultancy, Research Funding, Speakers Bureau; Roche: Consultancy, Research Funding, Speakers Bureau; Astellas: Research Funding, Speakers Bureau. Wang: Eli Lilly: Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding; InnoCare: Research Funding; LOXO Oncology: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; MorphoSys: Research Funding; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees. Link: Genentech/Roche: Consultancy, Research Funding; MEI: Consultancy; Novartis, Jannsen: Research Funding.

Abstract Background: Novel therapies for multiply relapsed follicular lymphoma (FL) are often evaluated in single arm trials with no comparative data on patients receiving usual care. This study (ReCORD-FL) therefore sought to construct a historical control cohort to augment current and future single arm trials in relapsed/refractory (r/r) FL. The analytic aims were to document patient characteristics, treatment patterns and clinical outcomes in a r/r FL population treated with standard therapies in routine practice. Methods: This was a retrospective cohort study via medical record review in 10 oncology centers across North America and Europe. Adult patients were required to meet several criteria defining multiply r/r FL (i.e., r/r after ≥2 lines of therapy, or relapsed during or within 6 months after completion of anti-CD20 antibody maintenance, or relapsed after autologous HSCT). Patients were also required to have ≥1 line of systemic therapy (i.e., first qualifying salvage therapy) after first meeting the r/r FL criteria; the date of first qualifying salvage therapy defined the study index date. At index, patients were required to have grade 1-3A FL, Eastern Cooperative Oncology Group (ECOG) performance status of 0 or 1, and no evidence of prior histological transformation. Outcomes were observed from the index date and from the start of each therapy line until the earliest of death, last follow-up, or December 31, 2020 (data cutoff). Endpoints were complete response (CR) rate, overall response rate (ORR), time to next treatment (TTNT), progression-free survival (PFS), and overall survival (OS). In a subgroup analysis, endpoints were examined by double refractoriness (r/r to both an anti-CD20 mAb and an alkylator) and POD24 status at index (best response of stable/progressive disease or relapsed within 24 months of front-line anti-CD20 mAb-containing therapy). Time to event outcomes were analyzed using the Kaplan-Meier method. Results: A total of 187 patients were identified for inclusion (Table 1). Most patients' (80.2%) first qualifying salvage (index) therapy occurred in third line (3L) (range: 3L - 6L). Anti-CD20 mAb plus chemotherapy (including alkylating and/or non-alkylating agents) was the most common index regimen (64.2% of patients); 8% received anti-CD20 mAb monotherapy, 11.2% received alkylator-based chemotherapy alone (i.e., an alkylator-containing regimen without anti-CD20 mAb), and 16.6% received other therapies (i.e., other regimens containing neither anti-CD20 mAb nor alkylator). Median follow-up from FL diagnosis was 9 years (range: 1 - 21 years), over which a median of 5 (range: 3 - 11) lines of therapy were observed per patient. CR rate and ORR to the index treatment were 39.0% and 70.6%, respectively (Table 2). Median (95% confidence interval [CI]) TTNT and PFS from index were 14.4 (11.8 - 18.6) and 14.6 (11.0 - 18.0) months, respectively; median OS from index was 128 months (10.6 years). Compared with non-double refractory, those with double refractory disease at index had numerically lower CR (34.3% vs. 45.1%) and ORR (67.6% vs. 74.4%) and substantially shorter median (95% CI) TTNT (11.8 [9.0 - 15.2] vs. 20.9 [14.4 - 26.2] months), PFS (10.7 [7.7 - 14.5] vs. 20.1 [14.4 - 25.4] months), and OS (78.1 [45.8 - 146.7] vs. [Not Reached] months). Outcomes were similarly less favorable for patients who were POD24 at index. All outcomes steadily worsened across successive treatment lines (Table 2, Figures 1a-c). ORR, for example, decreased from 69.5% in 3L (n = 187) to 45.8% in 5L (n = 96) and 41.2% in ≥8L (n = 51), while median (95% CI) PFS decreased from 11.8 (10.1 - 16.6) months in 3L to 9.4 (6.8 - 13.1) months in 5L and 4.4 (1.7 - 5.9) months in ≥8L; median (95% CI) OS had a similar trend: 133.7 (78.1 - 232.4), 46.3 (31.7 - 76.5), and 11.4 (5.9 - 21.2) months in 3L, 5L, and ≥8L, respectively. Conclusions: Our findings further demonstrate the poor outcomes and limited survival in FL patients with multiply r/r, double refractory, or POD24 disease. In assessing response rates and PFS, it is important to consider that response assessment criteria and schedules were more heterogenous in the routine practice settings of ReCORD-FL than in clinical trials. Based on comparability of results with another similar study (SCHOLAR-5), the robustness of data collected, and continued low likelihood of randomized trials in this area, ReCORD-FL provides valuable historical control data for new r/r FL therapies in development. Figure 1 Figure 1. Disclosures Salles: Beigene, BMS/Celgene, Debiopharm, Genentech/Roche, Genmab, Incyte, Ipsen, anssen, Novartis. Kite/Gilead, Loxo, Miltneiy, Rapt, TAKEDA, Velosbio, Allogene: Consultancy; Abbvie, Epizyme, Morphosys, Regeneron: Consultancy, Honoraria; Bayer: Honoraria. Schuster: Abbvie: Consultancy, Research Funding; Acerta Pharma/AstraZeneca: Consultancy; Alimera Sciences: Consultancy; BeiGene: Consultancy; Juno Theraputics: Consultancy, Research Funding; Loxo Oncology: Consultancy; Tessa Theraputics: Consultancy; Genentech/Roche: Consultancy, Research Funding; Merck: Research Funding; Pharmacyclics: Research Funding; Adaptive Biotechnologies: Research Funding; Incyte: Research Funding; TG Theraputics: Research Funding; Novartis: Consultancy, Honoraria, Patents & Royalties, Research Funding; Nordic Nanovector: Consultancy; Celgene: Consultancy, Honoraria, Research Funding. Kuruvilla: Seattle Genetics: Honoraria; Merck: Honoraria; Novartis: Honoraria; Gilead: Honoraria; BMS: Honoraria; Antengene: Honoraria; Amgen: Honoraria; AbbVie: Honoraria; Karyopharm: Honoraria, Other: Data and Safety Monitoring Board; Janssen: Honoraria, Research Funding; Incyte: Honoraria; Medison Ventures: Honoraria; Roche: Honoraria, Research Funding; AstraZeneca: Honoraria, Research Funding; Pfizer: Honoraria; TG Therapeutics: Honoraria. Patten: GILEAD SCIENCES: Honoraria, Research Funding; ROCHE: Research Funding; ASTRA ZENECA: Honoraria; NOVARTIS: Honoraria; JANSSEN: Honoraria; ABBVIE: Honoraria. von Tresckow: Amgen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Other, Research Funding; Pentixafarm: Consultancy, Honoraria; AbbVie: Other: congress and travel support; BMS-Celgene: Consultancy, Honoraria, Other: congress and travel support; AstraZeneca: Honoraria, Other: congress and travel support; Pfizer: Consultancy, Honoraria; Roche: Consultancy, Honoraria; Kite-Gilead: Consultancy, Honoraria; MSD: Consultancy, Honoraria, Other: congress and travel support, Research Funding; Novartis: Consultancy, Honoraria, Other: congress and travel support, Research Funding. Smith: Alexion, AstraZeneca Rare Disease: Other: Study investigator; Celgene, Genetech, AbbVie: Consultancy. Davis: Novartis, Vertex Pharmaceuticals, Pfizer, Eisai, Eli Lilly, AstraZeneca: Research Funding. Nagar: Novartis, AstraZeneca, Eisai: Research Funding. Zhang: Novartis: Current Employment, Current equity holder in publicly-traded company. Bollu: Novartis: Current Employment, Current equity holder in publicly-traded company. Jousseaume: Novartis: Current Employment, Current equity holder in publicly-traded company. Ramos: Novartis: Current Employment, Current equity holder in publicly-traded company. Wang: Eli Lilly: Membership on an entity's Board of Directors or advisory committees; Novartis: Research Funding; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; MorphoSys: Research Funding; Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding; InnoCare: Research Funding; LOXO Oncology: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding. Link: Genentech/Roche: Consultancy, Research Funding; MEI: Consultancy; Novartis, Jannsen: Research Funding.