Collaborative Ocular Melanoma Study Group

S. L. Fine

doi:10.1001/archfami.8.1.11-a

A Novel Classification System for Spinal Instability in Neoplastic Disease: An Evidence-Based Approach and Expert Consensus From the Spine Oncology Study Group

Yearbook of Neurology and Neurosurgery ◽

10.1016/j.yneu.2011.05.003 ◽

2011 ◽

Vol 2011 ◽

pp. 284-286

Author(s):

R. Riesenburger

Keyword(s):

Classification System ◽

Expert Consensus ◽

Spinal Instability ◽

Neoplastic Disease ◽

Study Group ◽

Evidence Based

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919: Ureteral Extension in Childhood Renal Tumors: A Report From the National Wilms Tumor Study Group (NWTSG)

The Journal of Urology ◽

10.1016/s0022-5347(18)31147-9 ◽

2007 ◽

Vol 177 (4S) ◽

pp. 305-305

Author(s):

Shane Daley ◽

Michael Ritchey ◽

Robert Shamberger ◽

Robert Sawin ◽

Thomas Hamilton ◽

...

Keyword(s):

Wilms Tumor ◽

Renal Tumors ◽

Study Group ◽

Tumor Study ◽

Tumor Study Group

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Skip Metastases in Osteosarcoma: Experience of the Cooperative Osteosarcoma Study Group

Yearbook of Oncology ◽

10.1016/s1040-1741(08)70473-1 ◽

2007 ◽

Vol 2007 ◽

pp. 286-287

Author(s):

R.J. Arceci

Keyword(s):

Study Group ◽

Skip Metastases

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KIT mutations, and not FLT3 internal tandem duplication, are strongly associated with a poor prognosis in pediatric acute myeloid leukemia with t(8;21): a study of the Japanese Childhood AML Cooperative Study Group

Yearbook of Oncology ◽

10.1016/s1040-1741(08)70464-0 ◽

2007 ◽

Vol 2007 ◽

pp. 274-275

Author(s):

R.J. Arceci

Keyword(s):

Myeloid Leukemia ◽

Poor Prognosis ◽

Tandem Duplication ◽

Study Group ◽

Cooperative Study ◽

Cooperative Study Group ◽

Internal Tandem Duplication ◽

Pediatric Acute Myeloid Leukemia ◽

Childhood Aml ◽

Flt3 Internal Tandem Duplication

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Addition of Epirubicin As a Third Drug to Carboplatin-Paclitaxel in First-Line Treatment of Advanced Ovarian Cancer: A Prospectively Randomized Gynecologic Cancer Intergroup Trial by the Arbeitsgemeinschaft Gynaekologische Onkologie Ovarian Cancer Study Group and the Groupe d'Investigateurs Nationaux pour I'Etude des Cancers Ovariens

Yearbook of Oncology ◽

10.1016/s1040-1741(08)70319-1 ◽

2007 ◽

Vol 2007 ◽

pp. 69-70

Author(s):

J.T. Thigpen

Keyword(s):

Ovarian Cancer ◽

Gynecologic Cancer ◽

Advanced Ovarian Cancer ◽

Study Group ◽

Line Treatment ◽

First Line ◽

Cancer Study ◽

Cancer Study Group ◽

Intergroup Trial ◽

First Line Treatment

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Aortic arch calcification is strongly associated with coronary artery calcification

VASA ◽

10.1024/0301-1526/a000415 ◽

2015 ◽

Vol 44 (2) ◽

pp. 106-114 ◽

Cited By ~ 7

Author(s):

Adem Adar ◽

Hakan Erkan ◽

Tayyar Gokdeniz ◽

Aysegul Karadeniz ◽

Ismail G. Cavusoglu ◽

...

Keyword(s):

Coronary Artery ◽

High Risk ◽

Aortic Arch ◽

Chest Radiography ◽

Coronary Artery Calcification ◽

Independent Predictor ◽

Study Group ◽

Discriminative Performance ◽

Sensitivity Specificity ◽

Aortic Arch Calcification

Background: We aimed to investigate the association between aortic arch and coronary artery calcification (CAC). We postulated that low‐ and high‐risk CAC scores could be predicted with the evaluation of standard chest radiography for aortic arch calcification (AAC). Patients and methods: Consecutive patients who were referred for a multidetector computerized tomography (MDCT) examination were enrolled prospectively. All patients were scanned using a commercially available 64‐slice MDCT scanner for the evaluation of CAC score. A four‐point grading scale (0, 1, 2 and 3) was used to evaluate AAC on the standard posterior‐anterior chest radiography images. Results: The study group consisted of 248 patients. Median age of the study group was 52 (IQR: 10) years, and 165 (67 %) were male. AAC grades (r = 0.676, p < 0.0001) and age (r = 0.518, p < 0.0001) were significantly and positively correlated with CAC score. Presence of AAC was independently associated with the presence of CAC (OR: 11.20, 95 % CI 4.25 to 29.52). An AAC grade of ≥ 2 was the strongest independent predictor of a high‐risk CAC score (OR: 27.42, 95 % CI 6.09 to 123.52). Receiver operating characteristics curve analysis yielded a strong predictive ability of AAC grades for a CAC score of ≥ 100 (AUC = 0.892, P < 0.0001), and ≥ 400 (AUC = 0.894, P < 0.0001). Absence of AAC had a sensitivity, specificity and accuracy of 90 %, 84 % and 89 %, respectively, for a CAC score of < 100. An AAC grade of ≥ 2 predicted a CAC score of ≥400 with a sensitivity, specificity and accuracy of 68 %, 98 % and 95 %, respectively. Conclusions: AAC is a strong and independent predictor of CAC. The discriminative performance of AAC is high in detecting patients with low‐ and high‐risk CAC scores.

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