Are the MIA and MSKCC nomograms useful in selecting patients with melanoma for sentinel lymph node biopsy?

被引:17
作者
Hosein, Sharif [1 ]
Drebin, Harrison M. [2 ]
Kurtansky, Nicholas R. [1 ]
Bagge, Roger Olofsson [3 ,4 ,5 ]
Coit, Daniel G. [2 ]
Bartlett, Edmund K. [2 ]
Marchetti, Michael A. [1 ]
机构
[1] Mem Sloan Kettering Canc Ctr, Dept Med, Dermatol Serv, MD 530 E 74th St, New York, NY 10021 USA
[2] Mem Sloan Kettering Canc Ctr, Dept Surg, Gastr & Mixed Tumor Serv, New York, NY 10021 USA
[3] Sahlgrens Univ Hosp, Dept Surg, Gothenburg, Sweden
[4] Univ Gothenburg, Inst Clin Sci, Sahlgrenska Acad, Sahlgrenska Ctr Canc Res,Dept Surg, Gothenburg, Sweden
[5] Univ Gothenburg, Wallenberg Ctr Mol & Translat Med, Gothenburg, Sweden
关键词
clinical utility; melanoma; sentinel lymph node biopsy; DISSECTION; METASTASIS; VALIDATION;
D O I
10.1002/jso.27231
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background and MethodsThe Melanoma Institute of Australia (MIA) and Memorial Sloan Kettering Cancer Center (MSKCC) nomograms were developed to help guide sentinel lymph node biopsy (SLNB) decisions. Although statistically validated, whether these prediction models provide clinical benefit at National Comprehensive Cancer Network guideline-endorsed thresholds is unknown. We conducted a net benefit analysis to quantify the clinical utility of these nomograms at risk thresholds of 5%-10% compared to the alternative strategy of biopsying all patients. External validation data for MIA and MSKCC nomograms were extracted from respective published studies. ResultsThe MIA nomogram provided added net benefit at a risk threshold of 9% but net harm at 5%-8% and 10%. The MSKCC nomogram provided added net benefit at risk thresholds of 5% and 9%-10% but net harm at 6%-8%. When present, the magnitude of net benefit was small (1-3 net avoidable biopsies per 100 patients). ConclusionNeither model consistently provided added net benefit compared to performing SLNB for all patients. DiscussionBased on published data, use of the MIA or MSKCC nomograms as decision-making tools for SLNB at risk thresholds of 5%-10% does not clearly provide clinical benefit to patients.
引用
收藏
页码:1167 / 1173
页数:7
相关论文
共 22 条
[1]   TUMOR THICKNESS, LEVEL OF INVASION AND NODE DISSECTION IN STAGE-1 CUTANEOUS MELANOMA [J].
BRESLOW, A .
ANNALS OF SURGERY, 1975, 182 (05) :572-575
[2]   Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review [J].
de Hond, Anne A. H. ;
Leeuwenberg, Artuur M. ;
Hooft, Lotty ;
Kant, Ilse M. J. ;
Nijman, Steven W. J. ;
van Os, Hendrikus J. A. ;
Aardoom, Jiska J. ;
Debray, Thomas P. A. ;
Schuit, Ewoud ;
van Smeden, Maarten ;
Reitsma, Johannes B. ;
Steyerberg, Ewout W. ;
Chavannes, Niels H. ;
Moons, Karel G. M. .
NPJ DIGITAL MEDICINE, 2022, 5 (01)
[3]   Predicting sentinel node positivity in patients with melanoma: external validation of a risk-prediction calculator (the Melanoma Institute Australia nomogram) using a large European population-based patient cohort [J].
El Sharouni, M. A. ;
Varey, A. H. R. ;
Witkamp, A. J. ;
Ahmed, T. ;
Sigurdsson, V. ;
van Diest, P. J. ;
Scolyer, R. A. ;
Thompson, J. F. ;
Lo, S. N. ;
van Gils, C. H. .
BRITISH JOURNAL OF DERMATOLOGY, 2021, 185 (02) :412-418
[4]   Completion Dissection or Observation for Sentinel-Node Metastasis in Melanoma [J].
Faries, M. B. ;
Thompson, J. F. ;
Cochran, A. J. ;
Andtbacka, R. H. ;
Mozzillo, N. ;
Zager, J. S. ;
Jahkola, T. ;
Bowles, T. L. ;
Testori, A. ;
Beitsch, P. D. ;
Hoekstra, H. J. ;
Moncrieff, M. ;
Ingvar, C. ;
Wouters, M. W. J. M. ;
Sabel, M. S. ;
Levine, E. A. ;
Agnese, D. ;
Henderson, M. ;
Dummer, R. ;
Rossi, C. R. ;
Neves, R. I. ;
Trocha, S. D. ;
Wright, F. ;
Byrd, D. R. ;
Matter, M. ;
Hsueh, E. ;
MacKenzie-Ross, A. ;
Johnson, D. B. ;
Terheyden, P. ;
Berger, A. C. ;
Huston, T. L. ;
Wayne, J. D. ;
Smithers, B. M. ;
Neuman, H. B. ;
Schneebaum, S. ;
Gershenwald, J. E. ;
Ariyan, C. E. ;
Desai, D. C. ;
Jacobs, L. ;
McMasters, K. M. ;
Gesierich, A. ;
Hersey, P. ;
Bines, S. D. ;
Kane, J. M. ;
Barth, R. J. ;
McKinnon, G. ;
Farma, J. M. ;
Schultz, E. ;
Vidal-Sicart, S. ;
Hoefer, R. A. .
NEW ENGLAND JOURNAL OF MEDICINE, 2017, 376 (23) :2211-2222
[5]   Decision Curve Analysis [J].
Fitzgerald, Mark ;
Saville, Benjamin R. ;
Lewis, Roger J. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2015, 313 (04) :409-410
[6]   Prognostic Gene Expression Profiling in Cutaneous Melanoma Identifying the Knowledge Gaps and Assessing the Clinical Benefit [J].
Grossman, Douglas ;
Okwundu, Nwanneka ;
Bartlett, Edmund K. ;
Marchetti, Michael A. ;
Othus, Megan ;
Coit, Daniel G. ;
Hartman, Rebecca I. ;
Leachman, Sancy A. ;
Berry, Elizabeth G. ;
Korde, Larissa ;
Lee, Sandra J. ;
Bar-Eli, Menashe ;
Berwick, Marianne ;
Bowles, Tawnya ;
Buchbinder, Elizabeth I. ;
Burton, Elizabeth M. ;
Chu, Emily Y. ;
Curiel-Lewandrowski, Clara ;
Curtis, Julia A. ;
Daud, Adil ;
Deacon, Dekker C. ;
Ferris, Laura K. ;
Gershenwald, Jeffrey E. ;
Grossmann, Kenneth F. ;
Hu-Lieskovan, Siwen ;
Hyngstrom, John ;
Jeter, Joanne M. ;
Judson-Torres, Robert L. ;
Kendra, Kari L. ;
Kim, Caroline C. ;
Kirkwood, John M. ;
Lawson, David H. ;
Leming, Philip D. ;
Long, Georgina V. ;
Marghoob, Ashfaq A. ;
Mehnert, Janice M. ;
Ming, Michael E. ;
Nelson, Kelly C. ;
Polsky, David ;
Scolyer, Richard A. ;
Smith, Eric A. ;
Sondak, Vernon K. ;
Stark, Mitchell S. ;
Stein, Jennifer A. ;
Thompson, John A. ;
Thompson, John F. ;
Venna, Suraj S. ;
Wei, Maria L. ;
Swetter, Susan M. .
JAMA DERMATOLOGY, 2020, 156 (09) :1004-1011
[7]   Prognostic Importance of the Extent of Ulceration in Patients With Clinically Localized Cutaneous Melanoma [J].
in't Hout, Florentien E. M. ;
Haydu, Lauren E. ;
Murali, Rajmohan ;
Bonenkamp, Johannes J. ;
Thompson, John F. ;
Scolyer, Richard A. .
ANNALS OF SURGERY, 2012, 255 (06) :1165-1170
[8]   Assessing the Clinical Impact of Risk Prediction Models With Decision Curves: Guidance for Correct Interpretation and Appropriate Use [J].
Kerr, Kathleen F. ;
Brown, Marshall D. ;
Zhu, Kehao ;
Janes, Holly .
JOURNAL OF CLINICAL ONCOLOGY, 2016, 34 (21) :2534-+
[9]   Complete lymph node dissection versus no dissection in patients with sentinel lymph node biopsy positive melanoma (DeCOG-SLT): a multicentre, randomised, phase 3 trial [J].
Leiter, Ulrike ;
Stadler, Rudolf ;
Mauch, Cornelia ;
Hohenberger, Werner ;
Brockmeyer, Norbert ;
Berking, Carola ;
Sunderkoetter, Cord ;
Kaatz, Martin ;
Schulte, Klaus-Werner ;
Lehmann, Percy ;
Vogt, Thomas ;
Ulrich, Jens ;
Herbst, Rudolf ;
Gehring, Wolfgang ;
Simon, Jan-Christoph ;
Keim, Ulrike ;
Martus, Peter ;
Garbe, Claus .
LANCET ONCOLOGY, 2016, 17 (06) :757-767
[10]   Improved Risk Prediction Calculator for Sentinel Node Positivity in Patients With Melanoma: The Melanoma Institute Australia Nomogram [J].
Lo, Serigne N. ;
Ma, Jiawen ;
Scolyer, Richard A. ;
Haydu, Lauren E. ;
Stretch, Jonathan R. ;
Saw, Robyn P. M. ;
Nieweg, Omgo E. ;
Shannon, Kerwin F. ;
Spillane, Andrew J. ;
Ch'ng, Sydney ;
Mann, Graham J. ;
Gershenwald, Jeffrey E. ;
Thompson, John F. ;
Varey, Alexander H. R. .
JOURNAL OF CLINICAL ONCOLOGY, 2020, 38 (24) :2719-+