Dose Prediction Model for Duodenum Sparing With a Biodegradable Hydrogel Spacer for Pancreatic Cancer Radiation Therapy.
Dose Prediction Model for Duodenum Sparing With a Biodegradable Hydrogel Spacer for Pancreatic Cancer Radiation Therapy.
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用于胰腺癌放射治疗的可生物降解水凝胶垫片保留十二指肠的剂量预测模型
DOI:
10.1016/j.ijrobp.2018.07.184
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发表时间:
2018-11-01
期刊:
影响因子:
--
通讯作者:
Ding K
中科院分区:
文献类型:
--
作者:
Feng Z;Rao AD;Cheng Z;Shin EJ;Moore J;Su L;Kim SH;Wong J;Narang A;Herman JM;McNutt T;Li D;Ding K
We have previously shown the feasibility of duodenum sparing using a biodegradable hydrogel spacer in pancreatic cancer radiation therapy. In this study, we propose an overlap volume histogram (OVH) prediction model as a means to select patients who might benefit from hydrogel placement and to predict the required hydrogel spacing to achieve clinical constraints. OVH metrics for the duodenum were collected from the stereotactic body radiation therapy (SBRT) plans of 232 patients with unresectable pancreatic cancer (33Gy in 5 fractions). OVH metrics L9cc and L3cc were defined as the tumor volume expansion distance at which 9cc and 3cc volumes of the duodenum overlap with tumor. D9cc and D3cc of the duodenum were defined as the dose volume histogram (DVH) dose to 9cc and 3cc of the duodenum. Prediction models were established by linear regression between Lx and Dx, where x=3cc and 9cc. OVH thresholds were obtained for predicting the target spacer thickness. The accuracy of the prediction model was then evaluated using treatment plans on pre- and post- hydrogel injection CTs from two cadaver specimens and six previously treated locally advanced pancreatic cancer patients with simulated spacer. Linear regression analysis showed a significant correlation between Lx and Dx (r2 = 0.51 and 0.51 for L3cc-D3cc and L9cc-D9cc, respectively, both P<0.01). The OVH thresholds were and . The observed planning doses D3cc and D9cc of duodenum from pre- and post- hydrogel injection CTs of cadaver specimens and clinical patients with simulated spacer using predicted target spacer thickness were within the OVH model prediction range. Our model may predict which patients require placement of a hydrogel spacer before SBRT to meet pre-defined dose-constraints. Furthermore, by predicting the required target hydrogel thickness, the spacer injection can be better guided to improve efficacy. We established an OVH prediction model to guide the selection of pancreatic cancer patients who may benefit from hydrogel spacer injection before radiation for duodenum sparing. We evaluated the model’s accuracy by verifying predictions of the required hydrogel spacer thickness to achieve clinical dose constraints. Our upcoming clinical trials can utilize this technique to ensure sufficient separation between the duodenum and pancreas for consideration of dose-escalated radiation therapy.
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影响因子:
3.3
作者:
Jabbour, Salma K;Hashem, Sameh A;Bosch, Walter;Kim, Tae Kyoung;Finkelstein, Steven E;Anderson, Bethany M;Ben-Josef, Edgar;Crane, Christopher H;Goodman, Karyn A;Haddock, Michael G;Herman, Joseph M;Hong, Theodore S;Kachnic, Lisa A;Mamon, Harvey J;Pantarotto, Jason R;Dawson, Laura A
通讯作者:
Dawson, Laura A
影响因子:
254.7
作者:
Siegel, Rebecca;Ma, Jiemin;Jemal, Ahmedin
通讯作者:
Jemal, Ahmedin
DOI:
10.1016/j.ijrobp.2003.11.004
发表时间:
2004-03-15
影响因子:
7
作者:
Koong, AC;Le, QT;Bastidas, JA
通讯作者:
Bastidas, JA
DOI:
10.1016/j.ijrobp.2015.12.003
发表时间:
2016-03-15
期刊:
International journal of radiation oncology, biology, physics
影响因子:
--
作者:
Krishnan S;Chadha AS;Suh Y;Chen HC;Rao A;Das P;Minsky BD;Mahmood U;Delclos ME;Sawakuchi GO;Beddar S;Katz MH;Fleming JB;Javle MM;Varadhachary GR;Wolff RA;Crane CH
通讯作者:
Crane CH
影响因子:
3.7
作者:
Moningi S;Dholakia AS;Raman SP;Blackford A;Cameron JL;Le DT;De Jesus-Acosta AM;Hacker-Prietz A;Rosati LM;Assadi RK;Dipasquale S;Pawlik TM;Zheng L;Weiss MJ;Laheru DA;Wolfgang CL;Herman JM
通讯作者:
Herman JM