Literature DB >> 7493830

Tumor and target delineation: current research and future challenges.

M Austin-Seymour1, G T Chen, J Rosenman, J Michalski, K Lindsley, M Goitein.   

Abstract

In the past decade, significant progress has been made in the imaging of tumors, three dimensional (3D) treatment planning, and radiation treatment delivery. At this time one of the greatest challenges for conformal radiation therapy is the accurate delineation of tumor and target volumes. The physician encounters many uncertainties in the process of defining both tumor and target. The sources of these uncertainties are discussed, as well as the issues requiring study to reduce these uncertainties.

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Year:  1995        PMID: 7493830     DOI: 10.1016/0360-3016(95)00215-4

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  6 in total

Review 1.  PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

Authors:  Habib Zaidi; Issam El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03-25       Impact factor: 9.236

Review 2.  The use of medical images in planning and delivery of radiation therapy.

Authors:  I J Kalet; M M Austin-Seymour
Journal:  J Am Med Inform Assoc       Date:  1997 Sep-Oct       Impact factor: 4.497

3.  Prospective randomized double-blind study of atlas-based organ-at-risk autosegmentation-assisted radiation planning in head and neck cancer.

Authors:  Gary V Walker; Musaddiq Awan; Randa Tao; Eugene J Koay; Nicholas S Boehling; Jonathan D Grant; Dean F Sittig; Gary Brandon Gunn; Adam S Garden; Jack Phan; William H Morrison; David I Rosenthal; Abdallah Sherif Radwan Mohamed; Clifton David Fuller
Journal:  Radiother Oncol       Date:  2014-09-09       Impact factor: 6.280

4.  Clinical implementation of deep learning contour autosegmentation for prostate radiotherapy.

Authors:  Elaine Cha; Sharif Elguindi; Ifeanyirochukwu Onochie; Daniel Gorovets; Joseph O Deasy; Michael Zelefsky; Erin F Gillespie
Journal:  Radiother Oncol       Date:  2021-03-03       Impact factor: 6.901

5.  The feasibility of atlas-based automatic segmentation of MRI for H&N radiotherapy planning.

Authors:  Kieran Wardman; Robin J D Prestwich; Mark J Gooding; Richard J Speight
Journal:  J Appl Clin Med Phys       Date:  2016-07-08       Impact factor: 2.102

6.  A systematic evaluation of the error detection abilities of a new diode transmission detector.

Authors:  Vikren Sarkar; Adam Paxton; Jeremy Kunz; Martin Szegedi; Geoff Nelson; Prema Rassiah-Szegedi; Hui Zhao; Y Jessica Huang; Frances Su; Bill J Salter
Journal:  J Appl Clin Med Phys       Date:  2019-08-05       Impact factor: 2.102

  6 in total

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