✦ LIBER ✦

Acral with melanoma: A review of 185 patients identification of prognostic variables

✍ Scribed by Craig L. Slingluff Jr.; Robin Vollmer; Hilliard F. Seigler

Book ID: 102924221
Publisher: John Wiley and Sons
Year: 1990
Tongue: English
Weight: 777 KB
Volume: 45
Category: Article
ISSN: 0022-4790
DOI: 10.1002/jso.2930450207

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A prognostic index for patients with mal

A prognostic index for patients with malignant melanoma of the conjunctiva

✍ F. H. Stefani 📂 Article 📅 1986 🏛 Springer-Verlag 🌐 English ⚖ 260 KB

KIT, NRAS, BRAF and PTEN mutations in a

KIT, NRAS, BRAF and PTEN mutations in a sample of Swedish patients with acral lentiginous melanoma

✍ Zebary, Abdlsattar; Omholt, Katarina; Vassilaki, Ismini; Höiom, Veronica; Lindén 📂 Article 📅 2013 🏛 Elsevier Science 🌐 English ⚖ 490 KB

Identification of prognostic factors for

Identification of prognostic factors for chronicity in patients with low back pain: a review of screening instruments

✍ M. Melloh; A. Elfering; C. Egli Presland; C. Roeder; T. Barz; C. Rolli Salathé; 📂 Article 📅 2009 🏛 Springer 🌐 English ⚖ 244 KB 👁 1 views

Nivolumab: A Review of Its Use in Patien

Nivolumab: A Review of Its Use in Patients with Malignant Melanoma

✍ Deeks, Emma D. 📂 Article 📅 2014 🏛 Springer International Publishing AG 🌐 English ⚖ 335 KB

Prognostic role of sentinel node biopsy

Prognostic role of sentinel node biopsy in patients with thick melanoma: a meta-analysis

✍ F. Rondelli; M.C. Vedovati; C. Becattini; G.M. Tomassini; S. Messina; G. Noya; S 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 172 KB

Predicting ten-year survival of patients

Predicting ten-year survival of patients with primary cutaneous melanoma : Corroboration of a prognostic model

✍ Sedef Sahin; Babar Rao; Alfred W. Kopf; Eric Lee; Darrell S. Rigel; Robert Nossa 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 79 KB 👁 2 views

## Background: Recently, the pigmented lesion group at the university of pennsylvania described a 4-variable model for predicting 10-year survival for patients with primary cutaneous melanoma. the variables are tumor thickness, anatomic site of the lesion, age, and gender. the objective of the curr