Unknown

Dataset Information

0

Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy.


ABSTRACT:

Purpose

To develop a CT-based radiomic signature to predict biochemical recurrence (BCR) in prostate cancer patients after sRT guided by positron-emission tomography targeting prostate-specific membrane antigen (PSMA-PET).

Material and methods

Consecutive patients, who underwent 68Ga-PSMA11-PET/CT-guided sRT from three high-volume centers in Germany, were included in this retrospective multicenter study. Patients had PET-positive local recurrences and were treated with intensity-modulated sRT. Radiomic features were extracted from volumes of interests on CT guided by focal PSMA-PET uptakes. After preprocessing, clinical, radiomics, and combined clinical-radiomic models were developed combining different feature reduction techniques and Cox proportional hazard models within a nested cross validation approach.

Results

Among 99 patients, median interval until BCR was the radiomic models outperformed clinical models and combined clinical-radiomic models for prediction of BCR with a C-index of 0.71 compared to 0.53 and 0.63 in the test sets, respectively. In contrast to the other models, the radiomic model achieved significantly improved patient stratification in Kaplan-Meier analysis. The radiomic and clinical-radiomic model achieved a significantly better time-dependent net reclassification improvement index (0.392 and 0.762, respectively) compared to the clinical model. Decision curve analysis demonstrated a clinical net benefit for both models. Mean intensity was the most predictive radiomic feature.

Conclusion

This is the first study to develop a PSMA-PET-guided CT-based radiomic model to predict BCR after sRT. The radiomic models outperformed clinical models and might contribute to guide personalized treatment decisions.

SUBMITTER: Spohn SKB 

PROVIDER: S-EPMC10250433 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy.

Spohn Simon K B SKB   Schmidt-Hegemann Nina-Sophie NS   Ruf Juri J   Mix Michael M   Benndorf Matthias M   Bamberg Fabian F   Makowski Marcus R MR   Kirste Simon S   Rühle Alexander A   Nouvel Jerome J   Sprave Tanja T   Vogel Marco M E MME   Galitsnaya Polina P   Gschwend Jürgen E JE   Gratzke Christian C   Stief Christian C   Löck Steffen S   Zwanenburg Alex A   Trapp Christian C   Bernhardt Denise D   Nekolla Stephan G SG   Li Minglun M   Belka Claus C   Combs Stephanie E SE   Eiber Matthias M   Unterrainer Lena L   Unterrainer Marcus M   Bartenstein Peter P   Grosu Anca-L AL   Zamboglou Constantinos C   Peeken Jan C JC  

European journal of nuclear medicine and molecular imaging 20230316 8


<h4>Purpose</h4>To develop a CT-based radiomic signature to predict biochemical recurrence (BCR) in prostate cancer patients after sRT guided by positron-emission tomography targeting prostate-specific membrane antigen (PSMA-PET).<h4>Material and methods</h4>Consecutive patients, who underwent <sup>68</sup>Ga-PSMA11-PET/CT-guided sRT from three high-volume centers in Germany, were included in this retrospective multicenter study. Patients had PET-positive local recurrences and were treated with  ...[more]

Similar Datasets

| S-EPMC10250454 | biostudies-literature
| S-EPMC6352289 | biostudies-literature
| S-EPMC7761444 | biostudies-literature
| S-EPMC9013125 | biostudies-literature
| S-EPMC10024380 | biostudies-literature
| S-EPMC8571130 | biostudies-literature
| S-EPMC7698293 | biostudies-literature
| S-EPMC11452751 | biostudies-literature
| S-EPMC3064951 | biostudies-literature
| S-EPMC9165245 | biostudies-literature