Literature DB >> 10192366

Treatment plan evaluation using dose-volume histogram (DVH) and spatial dose-volume histogram (zDVH).

C W Cheng1, I J Das.   

Abstract

OBJECTIVE: The dose-volume histogram (DVH) has been accepted as a tool for treatment-plan evaluation. However, DVH lacks spatial information. A new concept, the z-dependent dose-volume histogram (zDVH), is presented as a supplement to the DVH in three-dimensional (3D) treatment planning to provide the spatial variation, as well as the size and magnitude of the different dose regions within a region of interest.
MATERIALS AND METHODS: Three-dimensional dose calculations were carried out with various plans for three disease sites: lung, breast, and prostate. DVHs were calculated for the entire volume. A zDVH is defined as a differential dose-volume histogram with respect to a computed tomographic (CT) slice position. In this study, zDVHs were calculated for each CT slice in the treatment field. DVHs and zDVHs were compared.
RESULTS: In the irradiation of lung, DVH calculation indicated that the treatment plan satisfied the dose-volume constraint placed on the lung and zDVH of the lung revealed that a sizable fraction of the lung centered about the central axis (CAX) received a significant dose, a situation that warranted a modification of the treatment plan due to the removal of one lung. In the irradiation of breast with tangential fields, the DVH showed that about 7% of the breast volume received at least 110% of the prescribed dose (PD) and about 11% of the breast received less than 98% PD. However, the zDVHs of the breast volume in each of seven planes showed the existence of high-dose regions of 34% and 15%, respectively, of the volume in the two caudal-most planes and cold spots of about 40% in the two cephalic planes. In the treatment planning of prostate, DVHs showed that about 15% of the bladder and 40% of the rectum received 102% PD, whereas about 30% of the bladder and 50% of the rectum received the full dose. Taking into account the hollow structure of both the bladder and the rectum, the dose-surface histograms (DSH) showed larger hot-spot volume, about 37% of the bladder wall and 43% of the rectal wall. The zDVHs of the bladder revealed that the hot-spot region was superior to the central axis. The zDVHs of the rectum showed that the high-dose region was an 8-cm segment mostly superior to the central axis. The serial array-like of the rectum warrants a closer attention with regard to the complication probability of the organ.
CONCLUSIONS: Although DVH provides an averaged dose-volume information, zDVH provides differential dose-volume information with respect to the CT slice position. zDVH is a 2D analog of a 3D DVH and, in some situations, more superior. It provides additional information on plan evaluation that otherwise could not be appreciated. The zDVH may be used along with DVH for plan evaluation and for the correlation of radiation outcome.

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Year:  1999        PMID: 10192366     DOI: 10.1016/s0360-3016(98)00492-1

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


  10 in total

1.  The effect of slice thickness on target and organs at risk volumes, dosimetric coverage and radiobiological impact in IMRT planning.

Authors:  S P Srivastava; C-W Cheng; I J Das
Journal:  Clin Transl Oncol       Date:  2015-08-27       Impact factor: 3.405

2.  Virtual lymph node analysis to evaluate axillary lymph node coverage provided by tangential breast irradiation.

Authors:  Shin-Hyung Park; Jae-Chul Kim; Jeong Eun Lee; In-Kyu Park
Journal:  Radiat Oncol J       Date:  2015-03-31

3.  A computational tool for the efficient analysis of dose-volume histograms from radiation therapy treatment plans.

Authors:  Anil Pyakuryal; W Kenji Myint; Mahesh Gopalakrishnan; Sunyoung Jang; Jerilyn A Logemann; Bharat B Mittal
Journal:  J Appl Clin Med Phys       Date:  2010-01-28       Impact factor: 2.102

4.  Isodose feature-preserving voxelization (IFPV) for radiation therapy treatment planning.

Authors:  Hongcheng Liu; Lei Xing
Journal:  Med Phys       Date:  2018-06-01       Impact factor: 4.071

5.  A simple plan evaluation index based on the dose to critical structures in radiotherapy.

Authors:  Ramachandran Prabhakar; Goura K Rath
Journal:  J Med Phys       Date:  2011-10

6.  Radiobiological evaluation of the influence of dwell time modulation restriction in HIPO optimized HDR prostate brachytherapy implants.

Authors:  Panayiotis Mavroidis; Zaira Katsilieri; Vasiliki Kefala; Natasa Milickovic; Nikos Papanikolaou; Andreas Karabis; Nikolaos Zamboglou; Dimos Baltas
Journal:  J Contemp Brachytherapy       Date:  2010-10-13

Review 7.  Radiomic and radiogenomic modeling for radiotherapy: strategies, pitfalls, and challenges.

Authors:  James T T Coates; Giacomo Pirovano; Issam El Naqa
Journal:  J Med Imaging (Bellingham)       Date:  2021-03-23

8.  Development of clinical application program for radiotherapy induced cancer risk calculation using Monte Carlo engine in volumetric-modulated arc therapy.

Authors:  Dong-Jin Kang; Young-Joo Shin; Seonghoon Jeong; Jae-Yong Jung; Hakjae Lee; Boram Lee
Journal:  Radiat Oncol       Date:  2021-06-12       Impact factor: 3.481

9.  Biological-effective versus conventional dose volume histograms correlated with late genitourinary and gastrointestinal toxicity after external beam radiotherapy for prostate cancer: a matched pair analysis.

Authors:  Ashesh B Jani; Christopher M Hand; Charles A Pelizzari; John C Roeske; Lani Krauz; Srinivasan Vijayakumar
Journal:  BMC Cancer       Date:  2003-05-13       Impact factor: 4.430

10.  Transformation of physical DVHs to radiobiologically equivalent ones in hypofractionated radiotherapy analyzing dosimetric and clinical parameters: a practical approach for routine clinical practice in radiation oncology.

Authors:  Zoi Thrapsanioti; Irene Karanasiou; Kalliopi Platoni; Efstathios P Efstathopoulos; George Matsopoulos; Maria Dilvoi; George Patatoukas; Demetrios Chaldeopoulos; Nikolaos Kelekis; Vassilis Kouloulias
Journal:  Comput Math Methods Med       Date:  2013-11-19       Impact factor: 2.238

  10 in total

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