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Tumor volume as a predictor of cell free DNA mutation detection in advanced non-small cell lung cancer.
Haseltine, Justin M; Offin, Michael; Flynn, Jessica R; Zhang, Zhigang; Lebow, Emily S; Aziz, Khaled; Makhnin, Alex; Eichholz, Jordan; Lim, Lee P; Li, Mark; Isbell, James M; Gomez, Daniel R; Li, Bob T; Rimner, Andreas.
Afiliación
  • Haseltine JM; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Offin M; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Flynn JR; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Zhang Z; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Lebow ES; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Aziz K; Department of Radiation Oncology, Johns Hopkins Hospital, Baltimore, MD, USA.
  • Makhnin A; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Eichholz J; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Lim LP; Resolution Bioscience, Agilent Technologies, Kirkland, WA, USA.
  • Li M; Resolution Bioscience, Agilent Technologies, Kirkland, WA, USA.
  • Isbell JM; Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Gomez DR; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Li BT; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Rimner A; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Transl Lung Cancer Res ; 11(8): 1578-1590, 2022 Aug.
Article en En | MEDLINE | ID: mdl-36090640
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Año: 2022 Tipo del documento: Article