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Literature DB >> 14219541

DYNAMICS OF TUMOR GROWTH.

A K LAIRD.

Abstract

Keywords: CELL DIVISION; EXPERIMENTAL LAB STUDY; KINETICS; MICE; NEOPLASMS, EXPERIMENTAL; RABBITS; RATS

Mesh：

Year: 1964 PMID： 14219541 PMCID： PMC2071101 DOI： 10.1038/bjc.1964.55

Source DB: PubMed Journal: Br J Cancer ISSN： 0007-0920 Impact factor: 7.640

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10 in total

1. A biomathematical approach to clinical tumor growth.

Authors: M SCHWARTZ
Journal: Cancer Date: 1961 Nov-Dec Impact factor: 6.860

2. The latent period, incidence, and growth of Sr90-induced osteosarcomas in CF1 and CBA mice.

Authors: M P FINKEL; P J BERGSTRAND; B O BISKIS
Journal: Radiology Date: 1961-08 Impact factor: 11.105

3. An autoradiographic study of tumor dynamics.

Authors: J C REID; J WHITE
Journal: J Natl Cancer Inst Date: 1959-04 Impact factor: 13.506

4. A study on the establishment and growth of tumor metastases with tritiated thymidine.

Authors: R BASERGA; W E KISIELESKI; K HALVORSEN
Journal: Cancer Res Date: 1960-07 Impact factor: 12.701

5. Quantitative studies on the multiplication of neoplastic cells in vivo. II. Growth curves of three ascites lymphomas.

Authors: L REVESZ; G KLEIN
Journal: J Natl Cancer Inst Date: 1954-10 Impact factor: 13.506

6. Cell fractionation of normal and malignant tissues.

Authors: A K LAIRD
Journal: Exp Cell Res Date: 1954-02 Impact factor: 3.905

7. Quantitative studies of the growth response of the Krebs ascites tumor.

Authors: H M PATT; M E BLACKFORD
Journal: Cancer Res Date: 1954-06 Impact factor: 12.701

8. A method for quantitative evaluation of the effects of ionizing radiations on growth of adenocarcinoma in vivo.

Authors: T P TING
Journal: Science Date: 1952-08-08 Impact factor: 47.728

9. Chronic infusion of tritiated thymidine into mice with tumors.

Authors: M L MENDELSOHN
Journal: Science Date: 1962-01-19 Impact factor: 47.728

10. A Comparison of the Growth Curves of Malignant and Normal (Embryonic and Postembryonic) Tissues of the Rat.

Authors: R Schrek
Journal: Am J Pathol Date: 1936-07 Impact factor: 4.307

10 in total

131 in total

1. Oscillating growth patterns of multicellular tumour spheroids.

Authors: R Chignola; A Schenetti; E Chiesa; R Foroni; S Sartoris; A Brendolan; G Tridente; G Andrighetto; D Liberati
Journal: Cell Prolif Date: 1999-02 Impact factor: 6.831

2. [Computer simulation of cell renewal systems].

Authors: W Düchting
Journal: Blut Date: 1975-12

3. In situ parameter identification of optimal density-elastic modulus relationships in subject-specific finite element models of the proximal femur.

Authors: Alexander Cong; Jorn Op Den Buijs; Dan Dragomir-Daescu
Journal: Med Eng Phys Date: 2010-10-27 Impact factor: 2.242

DYNAMICS OF TUMOR GROWTH.

1. A biomathematical approach to clinical tumor growth.

2. The latent period, incidence, and growth of Sr90-induced osteosarcomas in CF1 and CBA mice.

3. An autoradiographic study of tumor dynamics.

4. A study on the establishment and growth of tumor metastases with tritiated thymidine.

5. Quantitative studies on the multiplication of neoplastic cells in vivo. II. Growth curves of three ascites lymphomas.

6. Cell fractionation of normal and malignant tissues.

7. Quantitative studies of the growth response of the Krebs ascites tumor.

8. A method for quantitative evaluation of the effects of ionizing radiations on growth of adenocarcinoma in vivo.

9. Chronic infusion of tritiated thymidine into mice with tumors.

10. A Comparison of the Growth Curves of Malignant and Normal (Embryonic and Postembryonic) Tissues of the Rat.

1. Oscillating growth patterns of multicellular tumour spheroids.

2. [Computer simulation of cell renewal systems].

3. In situ parameter identification of optimal density-elastic modulus relationships in subject-specific finite element models of the proximal femur.

4. Letter: Reduction of model for the spread of cancer in the uterus; arbitrary specific growth rate.

5. Some strategies for harvesting a single species.

6. Early postoperative growth in non-functioning pituitary adenomas; A tool to tailor safe follow-up.

7. Mathematical Modeling of Tumor-Tumor Distant Interactions Supports a Systemic Control of Tumor Growth.

8. Impact of deleterious passenger mutations on cancer progression.

9. Fetal origin of the medulloblastoma: evidence from growth analysis of two cases.

10. The impact of cell density and mutations in a model of multidrug resistance in solid tumors.