Results 151 to 160 of about 15,420 (259)
Postoperative Infections in Dermatologic Surgery: The Role of Wound Cultures. [PDF]
Ken KM +14 more
europepmc +1 more source
Defining the Need for Dermatologic Surgery Global Health in an Afro-Caribbean Country. [PDF]
Ufkes N +6 more
europepmc +1 more source
Living at genetic risk: The patient experience of Lynch syndrome
Abstract Lynch syndrome is a germline cancer predisposition syndrome caused by a variant in one of four genes. Lynch syndrome places individuals at significantly higher risk for a range of cancers, especially colorectal and endometrial. Depending on which gene is affected, the risk of ovarian, gastric, small bowel, pancreatic, biliary urothelial, brain,
Nicola Reents +2 more
wiley +1 more source
Dermatologic surgery: Customized surgical position. [PDF]
Cheng M, Pan Y, She X.
europepmc +1 more source
Dermatologic surgery in the COVID-19 era: Observations and practical suggestions. [PDF]
Piccerillo A +3 more
europepmc +1 more source
Molecular tumor boards (MTB), interdisciplinary teams that use tumor genomic data to guide personalized treatment decisions, have emerged as a promising strategy in melanoma care, although their real‐world clinical impact remains uncertain. This retrospective study evaluated advanced melanoma patients to assess molecularly guided treatment ...
Glenn Geidel +26 more
wiley +1 more source
Dermatologic surgery rounds: cheek advancement flap for lateral nasal defect reconstruction after basal cell carcinoma removal. [PDF]
Tchernev G, Tchernev KG, Kordeva S.
europepmc +1 more source
The COVID-19 outbreak in dermatologic surgery: resetting clinical priorities. [PDF]
Rossi E +6 more
europepmc +1 more source
Dermatologic surgery during the COVID-19 pandemic: Experience of a large academic center. [PDF]
Tee MW +8 more
europepmc +1 more source
Although chronic air pollution exposure is linked to lung cancer mortality, the short‐term effects of fluctuating air quality on overall cancer mortality remain uncertain. Here, the authors applied geomatics and machine‐learning models to retrospectively examine possible associations between 31‐day pollution exposure and mortality in a French cancer ...
Loice Pokam +12 more
wiley +1 more source

