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Kelsey, Chris R.

0000-0002-4961-8982

Mayo Clinic

NewYork–Presbyterian Hospital

Citations 15

An artificial intelligence model to detect abnormal ejection fraction from non-contrast chest computed tomography: the CT–LVEF study
Raikhelkar, J. , Richter, Ilan, Liu, Fengbei , Nizam, Nusrat Binta , Kishore, Varsha, vanMaanen, David, Ruhl, Jeffrey , Tesfuzigta, Naomi, Lancet, Erica, Leb, Jay , Legasto, Alan C. , Kumaraiah, Deepa, Prince, Martin, Sayer, G. , Uriel, Nir, Raikhelkar, Jayant , Ruhl, Jeffrey , Elias, Pierre , Poterucha, Timothy, Uriel, Nir , Bai, Zilong , Beecy, Ashley , Richter, Ilan, Kishore, Varsha, Kelsey, Chris R. , vanMaanen, David, Poterucha, Timothy Joseph , Prince, Martin, Wang, Fei , Estrin, Deborah L. , Sabuncu, Mert Rory

European Heart Journal - Digital Health | June 10, 2026 | Volume: 7 | Issue: 6 | Pages: No page available

10.1093/ehjdh/ztag088 Get It

Abstract Aims Heart failure (HF), a major global health challenge, affects millions worldwide and poses substantial healthcare and economic burdens. It is estimated that a large proportion of those with early systolic dysfunction remain asymptomatic at a stage when guideline-directed medical therapies have been shown to prevent disease progression. To develop an artificial intelligence (AI) model capable of predicting abnormal left ventricular ejection fraction (EF) directly from static, non-gated, non-contrast chest computed tomography (CT) scans as a form of opportunistic screening, Methods and results Using a multi-institutional dataset of 34 058 paired non- contrast CT images and echocardiogram reports from two academic centres, we trained our model of classification for predicting left-ventricle ejection fraction (LVEF) categories: abnormal EF (EF < 50%) vs. normal on 25 948 studies. We validated the model on 8110 paired chest CT and echocardiogram results from a separate institution. The model achieved an area under the receiver operating characteristic (AUROC) curve of 0.786 on the hold-out test set and 0.762 on external validation to detect an abnormal EF (<50%). Beyond strong predictive performance, the AI model surpassed expert radiologists in both accuracy and efficiency and provided interpretable visualizations highlighting imaging features linked to reduced LVEF. Conclusion In this study, we developed and validated an AI model capable of predicting abnormal LVEF directly from static, non-gated, non-contrast chest CT scans, a novel application for an imaging modality typically used for unrelated indications as a form of opportunistic screening. This technology holds significant promise for early detection of systolic HF, reducing the diagnostic gap, and improving outcomes in asymptomatic HF patients.
Historical outcomes for patients with stage IA NLPHL: Global NLPHL One Working Group retrospective analyses
Flerlage, Jamie E. , Eichenauer, Dennis A. , Fuchs, Michael, Hartmann, Sylvia , Eich, Hans Theodor, Savage, Kerry J. , Skinnider, Brian, Akhtar, Saad , Steiner, R., Milgrom, Sarah A., Vega, Francisco, Alomari, Mohammed , Zhang, Xiaoyin , Collins, Graham P., Advani, Ranjana H, Kumar, Priyadarshini , Wirth, Andrew, Tsang, Richard, Smith, SD, Hendrickson, Peter G. , Hopkins, David, McKay, Pamela, Ng, Andrea K. , Koenig, Julie L. , Sakthivel, Gukan, Baron, Jonathan A, Roberts, Kenneth B. , Gao, Sarah, Alkendi, Jalila , Rahbi, Nasser Al, Balogh, Alexander George, Ricardi, Umberto, Sridhar, Akshay, Torka, Pallawi , Specht, Lena , Silva, Ravi De , Shah, Nimish, Osborne, Wendy , Henry, Michael, Chang, Isabela , Halperin, Daniel, Miall, Fiona , Brady, J.L. , Mikhaeel, G., Brennan, Bernadette , Penn, Anthony, Reeves, Marie, Terezakis, Stephanie A, Pepa, R Della, Picardi, Marco, Kirova, Youlia, Fergusson, Paige, Hawkes, Eliza A. , Lee, Denise , Ku, Matthew , Hamad, Nada, Mutsando, Howard , Tedjaseputra, Aditya , Gilbertson, Michael, Marconi, Tamara , Viiala, Nicholas , Palese, Monica , Kelly, Kara M, Borchmann, P, Hoppe, Richard T. , Advani, Ranjana H. , Hopkins, David , Baron, Jonathan , Vega, Francisco , Kumar, Priyadarshini , Dickinson, Michael , Smith, Sonali M , McKay, Pamela , Koenig, Julie , Casulo, Carla , Al Kendi, Jalila , Levis, Mario , Torka, Pallawi , Specht, Lena , De Silva, Ravindu , Pickard, Keir , Smith, Christine M , Brady, Jessica , Senchenko, Maria Anatolevna , Volchkov, Egor Vasilevich , Hoppe, Bradford S , Hawkes, Eliza , Lee, Denise , Doo, Nicole Wong , Barraclough, Allison , Cheah, Chan Yoon , Salvaris, Ross , Ku, Matthew , Hamad, Nada , Tedjaseputra, Aditya , Shankar, Ananth , Maurer, Matthew , Natkunam, Yasodha , Hoppe, Richard T , Binkley, Michael Sargent , Savage, Kerry J , Advani, Ranjana H , Hopkins, David , Baron, Jonathan , Eichenauer, Dennis A , Flerlage, Jamie E , Fuchs, Michael, Eich, Hans Theodor, Hodgson, David C. , Skinnider, Brian, Rauf, M. Shahzad , Maghfoor, Irfan , Pinnix, Chelsea C. , Alomari, Mohammed, Collins, Graham P. , Dickinson, Michael , Tsang, Richard , Prica, Anca A. , Major, Ajay , Kelsey, Chris R. , Constine, Louis S , Casulo, Carla , Plastaras, John Peter , Balogh, Alexander G., Levis, Mario , Ricardi, Umberto , Sridhar, Akshay, Shah, Nimish , Pickard, Keir , Blazin, Lindsay , Henry, Michael, Smith, Christine M. , Hoppe, Bradford S. , Talaulikar, Dipti , Pepa, Roberta Della , Picardi, Marco , Kirova, Youlia , Northend, Michael , Doo, Nicole Wong , Barraclough, Allison , Opat, Stephen , Cheah, Chan Y. , Hamad, Nada , Gilbertson, Michael , Maurer, Matthew J. , Natkunam, Yasodha , Kelly, Kara M. , Borchmann, Peter , Binkley, Michael S.

Blood Advances | April 14, 2026 | Volume: 10 | Issue: 15 | Pages: 5338-5347

10.1182/bloodadvances.2026020012 Get It

Abstract We evaluated outcomes by management type for patients with stage IA nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) in the Global NLPHL One Working Group retrospective database of 2243 patients with stages I to IV disease diagnosed from 1992 to 2021 at 38 international institutions. A total of 779 patients had stage IA disease with median age of 35 years (range, 3-89) and median follow-up of 6.1 years. The 6-year progression-free survival (PFS) and overall survival were 86.3% and 97.7%, respectively. Outcomes were analyzed for the 2 groups: complete resection and unresected disease. Patients with a complete resection and observation alone (n = 99) had a 6-year PFS of 65.5% vs 90.5% for those who received radiotherapy (RT) (n = 53). Patients with unresected disease (n = 627; 80.5%) had a 6-year PFS of 62.0% for rituximab alone (n = 31), 89.6% for RT alone (n = 325), 76.8% for ABVD (doxorubicin, bleomycin, vinblastine, dacarbazine) alone (n = 40), and 94.3% for ABVD plus RT (n = 130). A total of 127 patients relapsed (16.3%), of which 25 (19.7%) had transformation. Our analysis suggests the following: (1) RT improves the PFS in patients with completely resected disease; (2) rituximab or ABVD alone does not appear to achieve a durable response; and (3) chemotherapy was not observed to add additional PFS benefit when used in combination with RT. Thus, for stage IA NLPHL, RT alone is likely sufficient for definitive treatment.
Consensus radiation therapy organ at risk constraints for NCTN trials in hematologic malignancies
Sim, Austin J. , Hoppe, Bradford S. , Ballas, Leslie K, Milgrom, Sarah A. , Terezakis, Stephanie A, Ha, Chul S. , Figura, Nicholas , Parikh, Rahul R., Grecula, J.C., Flampouri, Stella , Kelsey, Christopher R, Parikh, Rahul R. , Parikh, Rahul R , Hoppe, Bradford S , Ballas, Leslie K. , Terezakis, Stephanie A , Plastaras, John Peter , Hodgson, David C. , Ryckman, Jeffrey M. , Pinnix, Chelsea C. , Kelsey, Chris R.

JNCI: Journal of the National Cancer Institute | April 7, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/jnci/djag112 Get It

Abstract Modern radiation therapy (RT) technologies allow for improved sparing of normal tissues, decreasing the risk of both acute and long-term toxicities. Existing RT dose constraints for prospective trials within the National Clinical Trials Network (NCTN) were formulated in the context of solid malignancies. As patients with hematologic malignancies are often treated with lower RT doses and are usually younger with more favorable prognoses, customized dose constraints are needed. The NRG Oncology Hematologic Malignancies Working Group (NRG HEME) commissioned a review of existing organ-at-risk (OAR) constraints from published primary literature, the NRG Center for Innovation in Radiation Oncology (CIRO), and national guidelines. Customized constraints were developed by iterative review by NRG HEME. Final recommendations were approved by radiation oncology representatives from all the lymphoma NCTN groups (NRG Oncology, Children’s Oncology Group, Alliance, ECOG-ACRIN, SWOG, Canadian Cancer Trials Group). For 49 OARs, a strict recommended constraint was determined, of which 20 were not present in CIRO. Of the remaining 29 constraints, 20 were lower, 2 were the same, and 5 used different metrics; 2 were higher than at least 1 CIRO trial constraint. Acceptable variations were determined and unacceptable variations were added for select critical OARs for plan scoring. While doses to OARs without explicit unacceptable variations should not exceed acceptable variations, violations should not be considered for plan quality assessment on trials. This consensus list of standard OAR constraints should be incorporated for all future NCTN trials in hematologic malignancies. Strict dose constraints will minimize long-term toxicities in this patient population.
Radiotherapy for indolent primary cutaneous B-cell lymphoma: an international multicenter ILROG analysis
Dabaja, Bouthaina S., Görlich, Dennis , Thomas, Bjorn , Sim, Van , Johnstone, P., Hashmi, Ayesha, Levis, M., Ackerson, Bradley, Hague, Christina J. , Roos, Daniel Edward, Kirova, Y., Fietkau, Rainer, Fang, Penny Q., Ng, A., Bock, Felix, Linde, Philipp , Dunst, Jürgen, Terezakis, Stephanie A, Easwaran, Teresa, Peeken, Jan C. , Wittig, Andrea, Yoon, Hong In , Illidge, Tim , Ricardi, U., Morris, S., Storck, Michael , Hoppe, Richard T, Eich, Hans Theodor, Hoppe, Richard T. , Levis, Mario , Oertel, Michael , Görlich, Dennis , Thomas, Bjorn R , Sim, Van , Levis, Mario , Weil, Christopher R , Bock, Felix , Peeken, Jan C , Yoon, Hong In , Tao, Randa , Binkley, Michael Sargent , Campbell, Belinda A , Elsayad, Khaled , Storck, Michael , Hoppe, Richard T , Hashmi, Ayesha , Weil, Christopher R. , Plastaras, John Peter , Roos, Daniel E. , Fietkau, Rainer , Fang, Penny , Tseng, Yolanda D. , Tao, Randa , Kelsey, Chris R. , Binkley, Michael S. , Eich, Hans Theodor

Blood | March 13, 2026 | Volume: 147 | Issue: 25 | Pages: 3051-3060

10.1182/blood.2025032050 Get It

Abstract Radiotherapy is an established treatment for low-grade primary cutaneous B-cell lymphoma. Recommendations on its use differ internationally, which prompted our group to conduct this analysis. Twenty-two institutions participated in this international study. Patient eligibility required a diagnosis of limited (T1/T2) primary cutaneous marginal zone or follicle center lymphoma treated with radiotherapy between 1995 and 2023. Data were collected retrospectively until February 2024 within the framework of the International Lymphoma Radiation Oncology Group. Overall, 535 patients were analyzed. Predominant locations were the head (40%) and trunk (36%). Radiotherapy had a median dose of 24 Gy in fractions of 2 Gy. Complete responses were observed in 91% at a median time of 3.6 months following radiotherapy. There was no statistically significant difference between treatments ≤4 Gy and >4 Gy for complete or overall response rates (P = .077 and P = .056, respectively). However, there was an inferior duration of local control with ≤4 Gy (5-year local control 73% ± 12% vs 96% ± 2%; P< .001). Radiation dose was the main prognostic factor in the univariate and multivariable Cox analysis; however, higher doses did not translate into an overall survival benefit. Toxicities rarely exceeded grade 2 but were more frequent in the >4 Gy group. Radiotherapy remains an effective treatment option for indolent skin lymphoma with low toxicity. High response rates are observed with low doses of ≤4 Gy. In comparison to conventional doses, these treatments have a shorter duration of local control but a favorable toxicity profile.
Hodgkin Lymphoma, Version 1.2026, NCCN Clinical Practice Guidelines In Oncology
Advani, Ranjana H., Kelsey, C., Armand, Philippe, Bello, Celeste, Benitez, Cecil M. , Chen, Weina , Cherian, Sheen , Czader, Magdalena , Dabaja, Bouthaina, Daly, Megan E., Gordon, L. I., Hansen, Neil, Herrera, Alex F. , Hochberg, Ephraim P. , Hoppe, Richard T., Isufi, Iris, Johnston, Patrick B., Kelly, Kara M, Kenkre, Vaishalee P. , Lynch, R., Morgan, David, Rabinovitch, R., Salavati, Ali, Sano, Dahlia , Svoboda, J., Yahalom, Joachim, Yang, Joanna C. , Stehman, Katie, Advani, Ranjana H. , Hoppe, Richard T. , Advani, Ranjana H , Hoppe, Richard T , Kelsey, Chris R. , Armand, Philippe , Bond, David A. , Dabaja, Bouthaina, Daly, Megan, Frosch, Zachary AK , Hansen, Neil, Johnston, Patrick B, Kelly, Kara M , Kline, Justin Paul , McConathy, Jonathan , Niu, Alex , Paul, Suman , Rabinovitch, Rachel , Salavati, Ali , Shah, Harsh , Spinner, Michael A. , Svoboda, Jakub , Winter, Jane N. , Yahalom, Joachim , Montgomery, Sarah E.

Journal of the National Comprehensive Cancer Network | February 9, 2026 | Volume: 24 | Issue: 2 | Pages: 41-60

10.6004/jnccn.2026.0006 Get It

The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) for Hodgkin lymphoma provide expert, multidisciplinary recommendations for the diagnosis and treatment of Hodgkin lymphoma. The panel convenes annually to update recommendations based on a review of recently published clinical trials. This selection from the NCCN Guidelines for Hodgkin Lymphoma focuses on the management of newly diagnosed and relapsed/refractory classic Hodgkin lymphoma in adults aged 18 to 60 years.
NCCN Guidelines® Insights: B-Cell Lymphomas 3.2025
Advani, Ranjana H. , Andreadis, B., Chang, Julie , Christian, Beth , deVos, Sven, Fayad, Luis , Hamid, Muhammad Saad , Hernandez‐Ilizaliturri, Francisco J. , Karimi, Yasmin , King, Rebecca L. , Krivacic, Susan, LaCasce, Ann S. , Messmer, Marcus , Rabinovitch, Rachel , Roberts, Kenneth B. , Saito, Naoyuki G. , Smith, Stephen D. , Swinnen, Lode J., Tuscano, Joseph M. , Dwyer, Mary A., Sundar, Hema, Advani, Ranjana H , Karimi, Yasmin H , Zelenetz, Andrew D. , Gordon, Leo I. , Abramson, Jeremy S. , Bartlett, Nancy L. , Budde, Lihua E. , Caimi, Paolo F. , Dholaria, Bhagirathbhai , Habermann, Thomas M. , Hu, Boyu , Kelsey, Chris R. , Kline, Justin Paul , Landsburg, Daniel J. , Lim, Megan S. , Ramakrishnan, Praveen , Reid, Erin G , Saeed, Hayder , Vose, Julie M.

Journal of the National Comprehensive Cancer Network | October 9, 2025 | Volume: 23 | Issue: 10 | Pages: No page available

10.6004/jnccn.2025.0048 Get It

The treatment landscape of B-cell lymphomas has significantly evolved in recent years with approval of novel targeted therapies. CD3 × CD20 bispecific antibodies and CD19-directed monoclonal antibodies and antibody–drug conjugates have demonstrated efficacy in relapsed/refractory follicular lymphoma (FL). Bruton tyrosine kinase (BTK) inhibitor–based regimens are emerging as effective treatment options for patients with TP53-mutated classical mantle cell lymphoma (MCL). Results from ongoing clinical trials suggest that the addition of CD3 × CD20 bispecific antibodies to chemoimmunotherapy improves outcomes in patients with relapsed/refractory diffuse large B-cell lymphoma (DLBCL). These NCCN Guideline Insights highlight significant updates to the NCCN Guidelines for B-Cell Lymphomas for the treatment of FL, MCL, and DLBCL.
23 | RADIOTHERAPY IMPROVES PROGRESSION‐FREE SURVIVAL FOR STAGE IA NLPHL: A RETROSPECTIVE REPORT FROM THE GLOBAL NLPHL ONE WORKING GROUP (GLOW)
Hartmann, S., Eich, Hans‐Theodor, Skinnider, Brian, Akhtar, Saad , Steiner, R., Milgrom, Sarah A. , Alomari, Mohammed H., Zhang, X., Wirth, A., Tsang, Rky, Smith, Sonali M. , Hendrickson, P., Hopkins, David , Ng, A., Koenig, Julie L. , Casulo, Carla , Sakthivel, GD, Roberts, Kenneth B. , Gao, Sarah , Alkendi, Jalila , Rahbi, Nasser Al, Balogh, Alex, Ricardi, U., Torka, Pallawi , Silva, Ravi De , Shah, Nimish , Osborne, Wendy , Henry, M M , Miall, Fiona , Brady, J.L. , Mikhaeel, G., Brennan, Barbara J. , Penn, Andrew M. , Reeves, Michael A., Terezakis, S., Kirova, Youlia , Fergusson, Pamela, Lee, Denise , Ku, Matthew , Mutsando, Howard , Tedjaseputra, Aditya , Gilbertson, Michael , Marconi, Tamara , Viiala, Nicholas , Natkunam, Y., Kelly, Kara M. , Borchmann, Peter , Hoppe, R T, Binkley, Michael S., Hopkins, David , Ku, Matthew , Flerlage, Jamie E. , Eichenauer, Dennis A. , Fuchs, M., Hartmann, S., Savage, Kerry J. , Hodgson, David C. , Rauf, M. Shahzad , Maghfoor, Irfan , Pinnix, Chelsea C. , Vega, Francisco , Alomari, M., Zhang, X., Collins, Graham P. , Advani, Ranjana H. , Kumar, P., Dickinson, Michael , Tsang, R., Prica, Anca A. , Major, Ajay , Kelsey, Chris R. , McKay, Pamela , Constine, Louis S , Casulo, Carla , Baron, J., Plastaras, John Peter , Levis, Mario , Sridhar, A., Specht, Lena , Pickard, Keir , Blazin, Lindsay , Henry, M., Chang, I., Smith, Christine M , Halperin, Daniel M. , Brennan, B., Penn, A., Senchenko, Maria Anatolevna , Volchkov, Egor Vasilevich , Hoppe, Bradford S. , Talaulikar, Dipti , Pepa, Roberta Della , Picardi, Marco , Fergusson, P., Northend, Michael , Hawkes, Eliza A. , Doo, Nicole Wong , Barraclough, Allison , Opat, Stephen , Cheah, Chan Y. , Salvaris, Ross , Hamad, Nada , Palese, M., Shankar, Ananth , Maurer, Matthew J. , Binkley, Michael S.

Hematological Oncology | June 16, 2025 | Volume: 43 | Issue: S3 | Pages: No page available

10.1002/hon.70093_23 Get It

Deep learning for echocardiographic assessment and risk stratification of aortic, mitral, and tricuspid regurgitation: the DELINEATE-regurgitation study
Long, Aaron S. , Finer, Joshua , Hartzel, Dustin N. , Jing, Linyuan, Ruhl, Jeffrey , vanMaanen, David P., Elnabawi, Youssef , Metser, Gil , Duffy, Eamon , Mawson, Thomas, Tat, Emily , Kumaraiah, Deepa, Devereux, Richard B., Homma, Shunichi, Leon, Martin B. , Hahn, Rebecca T , Poterucha, Timothy J. , Ruhl, Jeffrey , Hahn, Rebecca T , Elias, Pierre , Poterucha, Timothy Joseph , Long, Aaron, Hartman, Heidi S. , Jing, Linyuan , Kelsey, Chris R. , Rocha, Daniel , Haggerty, Christopher M. , Maurer, Matthew J. , Einstein, Andrew Jeffrey , Beecy, Ashley , Devereux, Richard B.

European Heart Journal | March 29, 2025 | Volume: 46 | Issue: 28 | Pages: 2780-2791

10.1093/eurheartj/ehaf248 Get It

Abstract Background and Aims Classification and risk stratification in aortic (AR), mitral (MR), and tricuspid regurgitation (TR) remains a significant clinical challenge. This study aimed to develop an artificial intelligence (AI) system to assess valvular regurgitation and stratify MR-progression risk. Methods Using transthoracic echocardiograms (TTEs) at two sites (internal development/test, external test), the DELINEATE-Regurgitation system was developed to classify AR, MR, and TR severity using colour Doppler videos. Methods of summating video-level classifications into study-level predictions were tested, comparing single-view with multiview approaches integrating predictions across multiple videos. Model agreement with cardiologists was assessed by weighted kappa. A separate AI system (DELINEATE-MR-Progression) analysing colour Doppler videos was developed to predict which patients with mild, mild–moderate, and moderate MR were most likely to progress to moderate–severe or severe MR with analysis by Kaplan–Meier and Cox proportional hazards models. Results A total of 71 660 TTEs with 1 203 980 colour Doppler videos were included. The weighted kappa in internal/external test sets for regurgitation classification was 0.81/0.76 for AR, 0.76/0.72 for MR, and 0.73/0.64 for TR using a multiview approach taking all colour Doppler videos in a study, demonstrating substantial agreement with cardiologist interpretation with superiority of multiview over single view approaches. In the progression analysis, the AI score stratified MR-progression risk even when controlled for clinical factors known to be associated with MR progression [internal test set hazard ratio 4.1 (95% confidence interval 2.5–6.6)]. Conclusions An AI system can accurately classify AR, MR, and TR and predict MR progression beyond currently known risk factors.
International Prognostic Score for Nodular Lymphocyte–Predominant Hodgkin Lymphoma
Binkley, Michael S. , Flerlage, Jamie E. , Savage, Kerry J. , Akhtar, Saad , Steiner, Raphaël , Zhang, Xiaoyin , Dickinson, Michael , Major, Ajay , Hendrickson, Peter G. , Hopkins, David , Ng, Andrea K. , Casulo, Carla , Baron, Jonathan , Roberts, Kenneth B. , Alkendi, Jalila , Balogh, Alex, Torka, Pallawi , Specht, Lena , Silva, Ravi De , Pickard, Keir , Henry, M M , Smith, Christine M. , Brady, J.L. , Brennan, Bernadette , Сенченко, М. А. , Reeves, Marie, Terezakis, Stephanie , Fergusson, Paige, Hawkes, Eliza A. , Lee, Denise , Barraclough, Allison , Cheah, Chan Y. , Ku, Matthew , Mutsando, Howard , Gilbertson, Michael , Marconi, Tamara , Viiala, Nicholas , Hoppe, Richard T. , Borchmann, Peter , Fuchs, Michael , Hartmann, Sylvia , Eich, Hans Theodor, Skinnider, Brian, Milgrom, Sarah A. , Alomari, Mohammed H., Advani, Ranjana H. , Metzger, Monika L. , Wirth, Andrew, Smith, Sonali M. , Koenig, Julie L. , Sakthivel, Ku G., Gao, Sarah , Rahbi, Nasser Al, Sridhar, Akshay , Shah, Nimish , Osborne, Wendy , Chang, Isabela , Miall, Fiona , Mikhaeel, G., Penn, Anthony, Pepa, Roberta Della , Opat, Stephen , Tedjaseputra, Aditya , Palese, Monica , Kelly, Kara M. , Binkley, Michael Sargent , Major, Ajay , Hopkins, David , Ng, Andrea , Casulo, Carla , Baron, Jonathan , Roberts, Kenneth B , Al Kendi, Jalila , Ricardi, Umberto , Torka, Pallawi , Specht, Lena , De Silva, Ravindu , Pickard, Keir , Blazin, Lindsay J , Smith, Christine M , Brady, Jessica , Senchenko, Maria Anatolevna , Hoppe, Bradford S , Terezakis, Stephanie A , Hawkes, Eliza , Doo, Nicole Wong , Barraclough, Allison , Cheah, Chan Yoon , Ku, Matthew , Hamad, Nada , Gilbertson, Michael , Marconi, Tamara , Maurer, Matthew , Eichenauer, Dennis A , Hoppe, Richard T , Savage, Kerry J , Advani, Ranjana H , Opat, Stephen , Dickinson, Michael , Flerlage, Jamie E , Prica, Anca A. , Casulo, Carla , Blazin, Lindsay , Henry, Michael, Halperin, Daniel M. , Hoppe, Bradford S. , Talaulikar, Dipti , Picardi, Marco , Kirova, Youlia , Doo, Nicole Wong , Hamad, Nada , Maurer, Matthew J. , Eichenauer, Dennis A. , Hodgson, David C. , Rauf, M. Shahzad , Maghfoor, Irfan , Pinnix, Chelsea C. , Vega, Francisco , Alomari, Mohammed, Collins, Graham P. , Tsang, Richard , Kelsey, Chris R. , McKay, Pamela , Constine, Louis S , Plastaras, John Peter , Levis, Mario , Sridhar, Akshay, Volchkov, Egor Vasilevich , Northend, Michael , Salvaris, Ross , Shankar, Ananth , Natkunam, Yasodha

Journal of Clinical Oncology | March 26, 2024 | Volume: 42 | Issue: 19 | Pages: 2271-2280

10.1200/jco.23.01655 Get It

PURPOSE Nodular lymphocyte–predominant Hodgkin lymphoma (NLPHL) is a rare cancer, and large international cooperative efforts are needed to evaluate the significance of clinical risk factors and immunoarchitectural patterns (IAPs) for all stages of pediatric and adult patients with NLPHL. METHODS Thirty-eight institutions participated in the Global nLPHL One Working Group retrospective study of NLPHL cases from 1992 to 2021. We measured progression-free survival (PFS), overall survival (OS), transformation rate, and lymphoma-specific death rate. We performed uni- and multivariable (MVA) Cox regression stratified by management to select factors for the lymphocyte-predominant international prognostic score (LP-IPS) validated by five-fold cross-validation. RESULTS We identified 2,243 patients with a median age of 37 years (IQR, 23-51). The median follow-up was 6.3 years (IQR, 3.4-10.8). Most had stage I to II (72.9%) and few B symptoms (9.9%) or splenic involvement (5.4%). IAP was scored for 916 (40.8%). Frontline management included chemotherapy alone (32.4%), combined modality therapy (30.5%), radiotherapy alone (24.0%), observation after excision (4.6%), rituximab alone (4.0%), active surveillance (3.4%), and rituximab and radiotherapy (1.1%). The PFS, OS, transformation, and lymphoma-specific death rates at 10 years were 70.8%, 91.6%, 4.8%, and 3.3%, respectively. On MVA, IAPs were not associated with PFS or OS, but IAP E had higher risk of transformation (hazard ratio [HR], 1.81; P < .05). We developed the LP-IPS with 1 point each for age ≥45 years, stage III-IV, hemoglobin <10.5 g/dL, and splenic involvement. Increasing LP-IPS was significantly associated with worse PFS (HR, 1.52) and OS (HR, 2.31) and increased risk of lymphoma-specific death (HR, 2.63) and transformation (HR, 1.41). CONCLUSION In this comprehensive study of all ages of patients with NLPHL, we develop the LP-IPS to identify high-risk patients and inform upcoming prospective clinical trials evaluating de-escalation of therapy for patients with low LP-IPS scores (<2).
NCCN Guidelines® Insights: B-Cell Lymphomas, Version 6.2023
Advani, Ranjana H. , Andreadis, B., Chang, Julie , Christian, Beth , deVos, Sven, Fayad, Luis , Hamid, Muhammad Saad , Hernandez‐Ilizaliturri, Francisco J. , Kaminski, Mark , Karimi, Yasmin , King, Rebecca L. , Krivacic, Susan, LaCasce, Ann S. , Messmer, Marcus , Narkhede, Mayur , Rabinovitch, Rachel , Roberts, Kenneth B. , Smith, Stephen D. , Svoboda, Jakub , Swinnen, Lode J., Tuscano, Joseph M. , Dwyer, Mary A., Sundar, Hema, Advani, Ranjana H , Karimi, Yasmin H , Zelenetz, Andrew D. , Gordon, Leo I. , Abramson, Jeremy S. , Bartlett, Nancy L. , Budde, Lihua E. , Caimi, Paolo F. , Dholaria, Bhagirathbhai , Habermann, Thomas M. , Hu, Boyu , Kelsey, Chris R. , Lim, Megan S. , Ramakrishnan, Praveen , Reid, Erin G , Saeed, Hayder , Vose, Julie M.

Journal of the National Comprehensive Cancer Network | November 7, 2023 | Volume: 21 | Issue: 11 | Pages: 1118-1131

10.6004/jnccn.2023.0057 Get It

Novel targeted therapies (small molecule inhibitors, antibody–drug conjugates, and CD19-directed therapies) have changed the treatment landscape of relapsed/refractory B-cell lymphomas. Bruton’s tyrosine kinase (BTK) inhibitors continue to evolve in the management of mantle cell lymphoma (MCL), in both the relapsed/refractory and the frontline setting. Anti-CD19 CAR T-cell therapies are now effective and approved treatment options for relapsed/refractory follicular lymphoma (FL), diffuse large B-cell lymphoma (DLBCL), and MCL. Bispecific T-cell engagers represent a novel immunotherapeutic approach for relapsed FL and DLBCL after multiple lines of therapies, including prior CAR T-cell therapy. These NCCN Guideline Insights highlight the significant updates to the NCCN Guidelines for B-Cell Lymphomas for the treatment of FL, DLBCL, and MCL.