A. Maes

Einfluss der FDG-PET auf das therapeutische Vorgehen bei TBC – eine Pilotstudie

UNLABELLEDnThe aim of this study is to assess the potential impact of double-phase FDG PET versus routine staging in HIV-negative patients suffering from tuberculosis.nnnPATIENTS, METHODSn16 consecutive patients suffering from tuberculosis underwent contrast-enhanced CT and double-phase FDG PET imaging (45 min, 120 min). Early (E) and delayed (D) SUVmax values were determined for all identified lesions and % change in SUV calculated (DeltaSUV).nnnRESULTSnSeven patients presented with lung lesions on PET as well as CT (mean SUVmaxE 8.2, mean SUVmaxD 11.1, (p = 0.002), DeltaSUV 35%. In two patients, lesions were judged as non-active on CT. In nine patients, 18 sites of LN involvement were identified on both early and delayed FDG PET images (mean SUVmaxE 6.3, mean SUVmaxD 7.9, (p = 0.0001), DeltaSUV: 25%). 9 out of 18 sites of LN involvement, occurring in five patients, were missed on CT. In four of these five patients, sites of LN involvement were the only sites of extra-pulmonary involvement identified. In 6 out of 16 patients, pleural involvement was identified, respectively in 5 on FDG PET and in 6 on CT imaging (mean SUVmaxE 1.3, mean SUVmaxD 1.7, (p = 0.06), DeltaSUV 21%). In 4 patients, osseous involvement was identified by both FDG PET and CT (mean SUVmaxE 7.2, mean SUVmaxD 10.7, (p = 0,06), DeltaSUV 45%). Finally, in 3 patients, joint involvement was identified on both FDG PET as well as on CT imaging (mean SUVmaxE 4.7, mean SUVmaxD 5.2, DeltaSUV 23%). FDG PET did not identify CT-additional sites of involvement that would have resulted in a prolonged treatment.nnnCONCLUSIONnIn HIV-negative patients suffering from tuberculosis, FDG PET images suggested a more extensive involvement by Mycobacterium tuberculosis when compared to contrast enhanced CT.

Impact of FDG PET on the management of TBC treatment

UNLABELLEDnThe aim of this study is to assess the potential impact of double-phase FDG PET versus routine staging in HIV-negative patients suffering from tuberculosis.nnnPATIENTS, METHODSn16 consecutive patients suffering from tuberculosis underwent contrast-enhanced CT and double-phase FDG PET imaging (45 min, 120 min). Early (E) and delayed (D) SUVmax values were determined for all identified lesions and % change in SUV calculated (DeltaSUV).nnnRESULTSnSeven patients presented with lung lesions on PET as well as CT (mean SUVmaxE 8.2, mean SUVmaxD 11.1, (p = 0.002), DeltaSUV 35%. In two patients, lesions were judged as non-active on CT. In nine patients, 18 sites of LN involvement were identified on both early and delayed FDG PET images (mean SUVmaxE 6.3, mean SUVmaxD 7.9, (p = 0.0001), DeltaSUV: 25%). 9 out of 18 sites of LN involvement, occurring in five patients, were missed on CT. In four of these five patients, sites of LN involvement were the only sites of extra-pulmonary involvement identified. In 6 out of 16 patients, pleural involvement was identified, respectively in 5 on FDG PET and in 6 on CT imaging (mean SUVmaxE 1.3, mean SUVmaxD 1.7, (p = 0.06), DeltaSUV 21%). In 4 patients, osseous involvement was identified by both FDG PET and CT (mean SUVmaxE 7.2, mean SUVmaxD 10.7, (p = 0,06), DeltaSUV 45%). Finally, in 3 patients, joint involvement was identified on both FDG PET as well as on CT imaging (mean SUVmaxE 4.7, mean SUVmaxD 5.2, DeltaSUV 23%). FDG PET did not identify CT-additional sites of involvement that would have resulted in a prolonged treatment.nnnCONCLUSIONnIn HIV-negative patients suffering from tuberculosis, FDG PET images suggested a more extensive involvement by Mycobacterium tuberculosis when compared to contrast enhanced CT.

CA 15.3 measurements for separating FDG PET/CT positive from negative findings in breast carcinoma recurrence. Factors influencing the area under the ROC curve.

UNLABELLEDnIn breast cancer CA 15.3 is considered the tumour marker of choice. CA 15.3 is directly related to the disease extent and to hormone status (estrogen receptor ER+/ ER-, progesterone receptor PR+/PR-). This study was designed to assess the impact of disease extent, hormone receptor and HER2-status, and circulating blood volume on the area-under the ROC-curve of CA 15.3 to separate FDG PET positive from negative findings.nnnPATIENTS, METHODSnWe retrospectively evaluated 379 FDG PET/CT examinations performed in 80 patients with breast cancer. Blood volumes were derived using the formulas by Nadler and multiplied by their corresponding CA 15.3 measurement.nnnRESULTSnROC-curve analysis revealed an AUC of 0.695 (p = 0.0001) for CA 15.3 to separate FDG PET positive from negative findings. AUC measurements to separate normal scan findings from loco-regional disease and metastatic disease were 0.527 (p = 0.587) and 0.732 (p = 0.0001), respectively. AUC measurements for CA 15.3 to separate positive from negative FDG PET findings, in ER+ and ER- patients, were respectively 0.772 (p = 0.0001) and 0.596 (p = 0.143). AUC measurements for CA 15.3 to separate positive from negative FDG PET findings, in PR+ and PR- patients, were respectively 0.675 (p = 0.0001) and 0.694 (p = 0.0001). In HER2-positive and -negative patients, the AUC measurements were respectively 0.594 (p = 0.178) and 0.701 (p = 0.0001) to separate positive from negative FDG PET findings.nnnCONCLUSIONnThe AUC for CA 15.3 measurements to separate FDG PET positive from negative findings in breast cancer patients with suspected recurrence proved to be directly related to the extent of the recurrent disease and hormone receptor status and inversely related to HER2-status. Correcting CA 15.3 measurements for blood volumes did not impact the AUC.

CA15.3-Messungen zur Unterscheidung positiver und negativer FDG-PET/CT-Befunde bei Mammakarzinomrezidiven

UNLABELLEDnIn breast cancer CA 15.3 is considered the tumour marker of choice. CA 15.3 is directly related to the disease extent and to hormone status (estrogen receptor ER+/ ER-, progesterone receptor PR+/PR-). This study was designed to assess the impact of disease extent, hormone receptor and HER2-status, and circulating blood volume on the area-under the ROC-curve of CA 15.3 to separate FDG PET positive from negative findings.nnnPATIENTS, METHODSnWe retrospectively evaluated 379 FDG PET/CT examinations performed in 80 patients with breast cancer. Blood volumes were derived using the formulas by Nadler and multiplied by their corresponding CA 15.3 measurement.nnnRESULTSnROC-curve analysis revealed an AUC of 0.695 (p = 0.0001) for CA 15.3 to separate FDG PET positive from negative findings. AUC measurements to separate normal scan findings from loco-regional disease and metastatic disease were 0.527 (p = 0.587) and 0.732 (p = 0.0001), respectively. AUC measurements for CA 15.3 to separate positive from negative FDG PET findings, in ER+ and ER- patients, were respectively 0.772 (p = 0.0001) and 0.596 (p = 0.143). AUC measurements for CA 15.3 to separate positive from negative FDG PET findings, in PR+ and PR- patients, were respectively 0.675 (p = 0.0001) and 0.694 (p = 0.0001). In HER2-positive and -negative patients, the AUC measurements were respectively 0.594 (p = 0.178) and 0.701 (p = 0.0001) to separate positive from negative FDG PET findings.nnnCONCLUSIONnThe AUC for CA 15.3 measurements to separate FDG PET positive from negative findings in breast cancer patients with suspected recurrence proved to be directly related to the extent of the recurrent disease and hormone receptor status and inversely related to HER2-status. Correcting CA 15.3 measurements for blood volumes did not impact the AUC.

Prätherapeutische quantitative VOI-Analyse von Lebermetastasen

UNLABELLEDnUsing quantitive VOI analysis, the percentage (99m)Tc-MAA uptake and SUVmax and mean values of liver metastases obtained prior to SIRT were related to treatment response using both a lesion-based and clinical dichotomous approach. Based on the VOI % of (99m)Tc-MAA activity, the estimated (90)Y-microspheres activity/cc (MBq/cc) was calculated from the effective dose injected. Baseline VOI FDG PET SUVmean and max values and estimated MBq/cc values were related to treatment response using a lesion-based approach (% change in SUVmean ≥u2009 50%) and a clinical dichotomous approach. Fifteen treatment sessions were analyzed (13 patients). Using the lesion-based approach (12 treatment sessions) 40 lesions responded and 37 did not. SUVmax and mean values proved significantly different between non-responding and responding lesions; 18.6 (SD 10.8) versus 13.5 (SD 8.4 ) for SUVmax (p = 0.02) and 11.4 (SD 3.8) versus 6.3 (SD 4.5) for SUVmean (p = 0.002). Using the clinical dichotomous approach (15 treatment sessions / 11 responding), 91 lesions were analyzed; 57 responded. VOI volumes and estimated (90)Y-loaded glass microspheres activity (MBq/cc) did not differ between responders and non responders; 24 cc (SD 27) versus 21 cc (SD 21 cc) (p = 0.4) and 1.95 MBq/cc (SD 1.1 MBq/cc) versus 1.90 MB/cc (SD 2.7 MBq/cc) (p = 0.92). On the contrary, SUVmax and mean values proved significantly different between responders and non-responders; 23.7 (SD 9.8) versus 9.4 (SD 3.8 ) for SUVmax (p = 0.0001) and 13.1 (SD 8.1) versus 4.9 (SD 1.4) for SUVmean.nnnCONCLUSIONnThese findings suggest that in patients presenting with high baseline SUVmax and mean values, the administration of higher activities or alternatively, other potentially more useful treatment options might be considered.

Quantitative p retreatment VOI analysis of liver metastases

UNLABELLEDnUsing quantitive VOI analysis, the percentage (99m)Tc-MAA uptake and SUVmax and mean values of liver metastases obtained prior to SIRT were related to treatment response using both a lesion-based and clinical dichotomous approach. Based on the VOI % of (99m)Tc-MAA activity, the estimated (90)Y-microspheres activity/cc (MBq/cc) was calculated from the effective dose injected. Baseline VOI FDG PET SUVmean and max values and estimated MBq/cc values were related to treatment response using a lesion-based approach (% change in SUVmean ≥u2009 50%) and a clinical dichotomous approach. Fifteen treatment sessions were analyzed (13 patients). Using the lesion-based approach (12 treatment sessions) 40 lesions responded and 37 did not. SUVmax and mean values proved significantly different between non-responding and responding lesions; 18.6 (SD 10.8) versus 13.5 (SD 8.4 ) for SUVmax (p = 0.02) and 11.4 (SD 3.8) versus 6.3 (SD 4.5) for SUVmean (p = 0.002). Using the clinical dichotomous approach (15 treatment sessions / 11 responding), 91 lesions were analyzed; 57 responded. VOI volumes and estimated (90)Y-loaded glass microspheres activity (MBq/cc) did not differ between responders and non responders; 24 cc (SD 27) versus 21 cc (SD 21 cc) (p = 0.4) and 1.95 MBq/cc (SD 1.1 MBq/cc) versus 1.90 MB/cc (SD 2.7 MBq/cc) (p = 0.92). On the contrary, SUVmax and mean values proved significantly different between responders and non-responders; 23.7 (SD 9.8) versus 9.4 (SD 3.8 ) for SUVmax (p = 0.0001) and 13.1 (SD 8.1) versus 4.9 (SD 1.4) for SUVmean.nnnCONCLUSIONnThese findings suggest that in patients presenting with high baseline SUVmax and mean values, the administration of higher activities or alternatively, other potentially more useful treatment options might be considered.

Biological characterisation of somatropin-derived cryptic peptides

Little is known about possible cryptic peptides of the recombinant growth hormone (somatropin). In this study, six synthetic somatropin-derived peptides (SDPs) were selected based on their sequences which correspond to the binding interface of the growth hormone receptor (GHR). Their novelty was confirmed by in silico and in vitro proteolytic digestion of somatropin. Chemical characterisation of the SDPs, i.e. identification via LC–MS and purity quantification via HPLC-UV and U(H)PLC-MRM, was first performed. All the SDPs were stable in brain tissue homogenate, liver tissue homogenate and serum (t1/2u2009>u200915xa0min). The metabolites in brain and serum, formed between 15 and 120xa0min, were also identified. The interactions towards the GHR and the human growth hormone binding protein (hGHBp) were also evaluated using GHR bioassay and native MS. No interaction was detected under the applied conditions. A last part of the study investigated the pharmacokinetics and tissue distribution of two peptides (i.e. SDP167–175 and SDP101–121), selected based on their position within somatropin. A high blood–brain barrier (BBB) influx was observed for SDP101–121, while SDP167–175 showed a negligible BBB influx. Based on the obtained results, the GHR binding of the selected SDPs is very low, requiring structural adaptations for further GHR-binding exploration.