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Development and val...
Development and validation of time-to-event models to predict metastatic recurrence of localized cutaneous melanoma
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- Wan, Guihong (författare)
- Harvard Medical School
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- Leung, Bonnie W. (författare)
- Harvard Medical School
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- DeSimone, Mia S. (författare)
- Harvard Medical School
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- Nguyen, Nga (författare)
- Harvard Medical School
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- Rajeh, Ahmad (författare)
- Harvard Medical School
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- Collier, Michael R. (författare)
- Harvard Medical School
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- Rashdan, Hannah (författare)
- Harvard Medical School
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- Roster, Katie (författare)
- Harvard Medical School
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- Zhou, Xu (författare)
- Stevens Institute of Technology,Harvard Medical School
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- Moseley, Cameron B. (författare)
- Harvard Medical School
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- Nirmal, Ajit J. (författare)
- Harvard Medical School
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- Pelletier, Roxanne J. (författare)
- Harvard Medical School
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- Maliga, Zoltan (författare)
- Harvard Medical School
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- Marko-Varga, Gyorgy (författare)
- Lund University,Lunds universitet,Avdelningen för Biomedicinsk teknik,Institutionen för biomedicinsk teknik,Institutioner vid LTH,Lunds Tekniska Högskola,Clinical Protein Science and Imaging,Forskargrupper vid Lunds universitet,Department of Biomedical Engineering,Departments at LTH,Faculty of Engineering, LTH,Lund University Research Groups
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- Németh, István Balázs (författare)
- University of Szeged
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- Tsao, Hensin (författare)
- Harvard Medical School
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- Asgari, Maryam M. (författare)
- Harvard Medical School
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- Gusev, Alexander (författare)
- Dana-Farber Cancer Institute
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- Stagner, Anna M. (författare)
- Harvard Medical School
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- Lian, Christine G. (författare)
- Harvard Medical School
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Hurlbert, Marc S. (författare)
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- Liu, Feng (författare)
- Stevens Institute of Technology
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- Yu, Kun Hsing (författare)
- Harvard Medical School
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- Sorger, Peter K. (författare)
- Harvard Medical School
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- Semenov, Yevgeniy R. (författare)
- Harvard Medical School
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(creator_code:org_t)
- 2023
- 2023
- Engelska 11 s.
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Ingår i: Journal of the American Academy of Dermatology. - 0190-9622. ; 90:2, s. 288-298
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Background: The recent expansion of immunotherapy for stage IIB/IIC melanoma highlights a growing clinical need to identify patients at high risk of metastatic recurrence and, therefore, most likely to benefit from this therapeutic modality. Objective: To develop time-to-event risk prediction models for melanoma metastatic recurrence. Methods: Patients diagnosed with stage I/II primary cutaneous melanoma between 2000 and 2020 at Mass General Brigham and Dana-Farber Cancer Institute were included. Melanoma recurrence date and type were determined by chart review. Thirty clinicopathologic factors were extracted from electronic health records. Three types of time-to-event machine-learning models were evaluated internally and externally in the distant versus locoregional/nonrecurrence prediction. Results: This study included 954 melanomas (155 distant, 163 locoregional, and 636 1:2 matched nonrecurrences). Distant recurrences were associated with worse survival compared to locoregional/nonrecurrences (HR: 6.21, P < .001) and to locoregional recurrences only (HR: 5.79, P < .001). The Gradient Boosting Survival model achieved the best performance (concordance index: 0.816; time-dependent AUC: 0.842; Brier score: 0.103) in the external validation. Limitations: Retrospective nature and cohort from one geography. Conclusions: These results suggest that time-to-event machine-learning models can reliably predict the metastatic recurrence from localized melanoma and help identify high-risk patients who are most likely to benefit from immunotherapy.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Nyckelord
- clinicopathologic factors
- locoregional recurrence
- metastatic recurrence
- stage I/II melanoma
- time-to-event prediction
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- art (ämneskategori)
- ref (ämneskategori)
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Wan, Guihong
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Leung, Bonnie W.
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DeSimone, Mia S.
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Nguyen, Nga
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Rajeh, Ahmad
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Collier, Michael ...
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visa fler...
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Rashdan, Hannah
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Roster, Katie
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Zhou, Xu
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Moseley, Cameron ...
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Nirmal, Ajit J.
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Pelletier, Roxan ...
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Maliga, Zoltan
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Marko-Varga, Gyo ...
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Németh, István B ...
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Tsao, Hensin
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Asgari, Maryam M ...
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Gusev, Alexander
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Stagner, Anna M.
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Lian, Christine ...
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Hurlbert, Marc S ...
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Liu, Feng
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Yu, Kun Hsing
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Sorger, Peter K.
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Semenov, Yevgeni ...
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