Optimized planning target volume for intact cervical cancer

Alvin Khan, Lindsay G. Jensen, Shuai Sun, William Y. Song, Catheryn M. Yashar, Arno J. Mundt, Fu Quan Zhang, Steve B. Jiang, Loren K. Mell

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Purpose: To model interfraction clinical target volume (CTV) variation in patients with intact cervical cancer and design a planning target volume (PTV) that minimizes normal tissue dose while maximizing CTV coverage. Methods and Materials: We analyzed 50 patients undergoing external-beam radiotherapy for intact cervical cancer using daily online cone-beam computed tomography (CBCT). The CBCTs (n = 972) for each patient were rigidly registered to the planning CT. The CTV was delineated on the planning CT (CTV 0) and the set of CBCTs ({CTV 1-CTV 25}). Manual (n = 98) and automated (n = 668) landmarks were placed over the surface of CTV 0 with reference to defined anatomic structures. Normal vectors were extended from each landmark, and the minimum length required for a given probability of encompassing CTV 1-CTV 25 was computed. The resulting expansions were used to generate an optimized PTV. Results: The mean (SD; range) normal vector length to ensure 95% coverage was 4.3 mm (2.7 mm; 1-16 mm). The uniform expansion required to ensure 95% probability of CTV coverage was 13 mm. An anisotropic margin of 20 mm anteriorly and posteriorly and 10 mm superiorly, inferiorly, and laterally also would have ensured a 95% probability of CTV coverage. The volume of the 95% optimized PTV (1470 cm 3) was significantly lower than both the anisotropic PTV (2220 cm 3) and the uniformly expanded PTV (2110 cm 3) (p < 0.001). For a 95% probability of CTV coverage, normal lengths of 1-3 mm were found along the superior and lateral regions of CTV 0, 5-10 mm along the interfaces of CTV 0 with the bladder and rectum, and 10-14 mm along the anterior surface of CTV 0 at the level of the uterus. Conclusion: Optimizing PTV definition according to surface landmarking resulted in a high probability of CTV coverage with reduced PTV volumes. Our results provide data justifying planning margins to use in practice and clinical trials.

Original languageEnglish (US)
Pages (from-to)1500-1505
Number of pages6
JournalInternational Journal of Radiation Oncology Biology Physics
Volume83
Issue number5
DOIs
StatePublished - Aug 1 2012

Fingerprint

Uterine Cervical Neoplasms
planning
cancer
Cone-Beam Computed Tomography
Rectum
Uterus
Reference Values
Urinary Bladder
Radiotherapy
Clinical Trials
landmarks
margins
uterus
rectum

Keywords

  • Cervical cancer
  • Image-guided radiotherapy
  • Interfraction motion
  • Planning target volume

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Radiation
  • Cancer Research

Cite this

Khan, A., Jensen, L. G., Sun, S., Song, W. Y., Yashar, C. M., Mundt, A. J., ... Mell, L. K. (2012). Optimized planning target volume for intact cervical cancer. International Journal of Radiation Oncology Biology Physics, 83(5), 1500-1505. https://doi.org/10.1016/j.ijrobp.2011.10.027

Optimized planning target volume for intact cervical cancer. / Khan, Alvin; Jensen, Lindsay G.; Sun, Shuai; Song, William Y.; Yashar, Catheryn M.; Mundt, Arno J.; Zhang, Fu Quan; Jiang, Steve B.; Mell, Loren K.

In: International Journal of Radiation Oncology Biology Physics, Vol. 83, No. 5, 01.08.2012, p. 1500-1505.

Research output: Contribution to journalArticle

Khan, A, Jensen, LG, Sun, S, Song, WY, Yashar, CM, Mundt, AJ, Zhang, FQ, Jiang, SB & Mell, LK 2012, 'Optimized planning target volume for intact cervical cancer', International Journal of Radiation Oncology Biology Physics, vol. 83, no. 5, pp. 1500-1505. https://doi.org/10.1016/j.ijrobp.2011.10.027
Khan, Alvin ; Jensen, Lindsay G. ; Sun, Shuai ; Song, William Y. ; Yashar, Catheryn M. ; Mundt, Arno J. ; Zhang, Fu Quan ; Jiang, Steve B. ; Mell, Loren K. / Optimized planning target volume for intact cervical cancer. In: International Journal of Radiation Oncology Biology Physics. 2012 ; Vol. 83, No. 5. pp. 1500-1505.
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abstract = "Purpose: To model interfraction clinical target volume (CTV) variation in patients with intact cervical cancer and design a planning target volume (PTV) that minimizes normal tissue dose while maximizing CTV coverage. Methods and Materials: We analyzed 50 patients undergoing external-beam radiotherapy for intact cervical cancer using daily online cone-beam computed tomography (CBCT). The CBCTs (n = 972) for each patient were rigidly registered to the planning CT. The CTV was delineated on the planning CT (CTV 0) and the set of CBCTs ({CTV 1-CTV 25}). Manual (n = 98) and automated (n = 668) landmarks were placed over the surface of CTV 0 with reference to defined anatomic structures. Normal vectors were extended from each landmark, and the minimum length required for a given probability of encompassing CTV 1-CTV 25 was computed. The resulting expansions were used to generate an optimized PTV. Results: The mean (SD; range) normal vector length to ensure 95{\%} coverage was 4.3 mm (2.7 mm; 1-16 mm). The uniform expansion required to ensure 95{\%} probability of CTV coverage was 13 mm. An anisotropic margin of 20 mm anteriorly and posteriorly and 10 mm superiorly, inferiorly, and laterally also would have ensured a 95{\%} probability of CTV coverage. The volume of the 95{\%} optimized PTV (1470 cm 3) was significantly lower than both the anisotropic PTV (2220 cm 3) and the uniformly expanded PTV (2110 cm 3) (p < 0.001). For a 95{\%} probability of CTV coverage, normal lengths of 1-3 mm were found along the superior and lateral regions of CTV 0, 5-10 mm along the interfaces of CTV 0 with the bladder and rectum, and 10-14 mm along the anterior surface of CTV 0 at the level of the uterus. Conclusion: Optimizing PTV definition according to surface landmarking resulted in a high probability of CTV coverage with reduced PTV volumes. Our results provide data justifying planning margins to use in practice and clinical trials.",
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AU - Song, William Y.

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AU - Mundt, Arno J.

AU - Zhang, Fu Quan

AU - Jiang, Steve B.

AU - Mell, Loren K.

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N2 - Purpose: To model interfraction clinical target volume (CTV) variation in patients with intact cervical cancer and design a planning target volume (PTV) that minimizes normal tissue dose while maximizing CTV coverage. Methods and Materials: We analyzed 50 patients undergoing external-beam radiotherapy for intact cervical cancer using daily online cone-beam computed tomography (CBCT). The CBCTs (n = 972) for each patient were rigidly registered to the planning CT. The CTV was delineated on the planning CT (CTV 0) and the set of CBCTs ({CTV 1-CTV 25}). Manual (n = 98) and automated (n = 668) landmarks were placed over the surface of CTV 0 with reference to defined anatomic structures. Normal vectors were extended from each landmark, and the minimum length required for a given probability of encompassing CTV 1-CTV 25 was computed. The resulting expansions were used to generate an optimized PTV. Results: The mean (SD; range) normal vector length to ensure 95% coverage was 4.3 mm (2.7 mm; 1-16 mm). The uniform expansion required to ensure 95% probability of CTV coverage was 13 mm. An anisotropic margin of 20 mm anteriorly and posteriorly and 10 mm superiorly, inferiorly, and laterally also would have ensured a 95% probability of CTV coverage. The volume of the 95% optimized PTV (1470 cm 3) was significantly lower than both the anisotropic PTV (2220 cm 3) and the uniformly expanded PTV (2110 cm 3) (p < 0.001). For a 95% probability of CTV coverage, normal lengths of 1-3 mm were found along the superior and lateral regions of CTV 0, 5-10 mm along the interfaces of CTV 0 with the bladder and rectum, and 10-14 mm along the anterior surface of CTV 0 at the level of the uterus. Conclusion: Optimizing PTV definition according to surface landmarking resulted in a high probability of CTV coverage with reduced PTV volumes. Our results provide data justifying planning margins to use in practice and clinical trials.

AB - Purpose: To model interfraction clinical target volume (CTV) variation in patients with intact cervical cancer and design a planning target volume (PTV) that minimizes normal tissue dose while maximizing CTV coverage. Methods and Materials: We analyzed 50 patients undergoing external-beam radiotherapy for intact cervical cancer using daily online cone-beam computed tomography (CBCT). The CBCTs (n = 972) for each patient were rigidly registered to the planning CT. The CTV was delineated on the planning CT (CTV 0) and the set of CBCTs ({CTV 1-CTV 25}). Manual (n = 98) and automated (n = 668) landmarks were placed over the surface of CTV 0 with reference to defined anatomic structures. Normal vectors were extended from each landmark, and the minimum length required for a given probability of encompassing CTV 1-CTV 25 was computed. The resulting expansions were used to generate an optimized PTV. Results: The mean (SD; range) normal vector length to ensure 95% coverage was 4.3 mm (2.7 mm; 1-16 mm). The uniform expansion required to ensure 95% probability of CTV coverage was 13 mm. An anisotropic margin of 20 mm anteriorly and posteriorly and 10 mm superiorly, inferiorly, and laterally also would have ensured a 95% probability of CTV coverage. The volume of the 95% optimized PTV (1470 cm 3) was significantly lower than both the anisotropic PTV (2220 cm 3) and the uniformly expanded PTV (2110 cm 3) (p < 0.001). For a 95% probability of CTV coverage, normal lengths of 1-3 mm were found along the superior and lateral regions of CTV 0, 5-10 mm along the interfaces of CTV 0 with the bladder and rectum, and 10-14 mm along the anterior surface of CTV 0 at the level of the uterus. Conclusion: Optimizing PTV definition according to surface landmarking resulted in a high probability of CTV coverage with reduced PTV volumes. Our results provide data justifying planning margins to use in practice and clinical trials.

KW - Cervical cancer

KW - Image-guided radiotherapy

KW - Interfraction motion

KW - Planning target volume

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