Our objective is to explore quantitative imaging markers for early prediction of treatment response in patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs) undergoing [¹⁷⁷Lu]Lu-DOTATATE therapy. By doing so, we aim to enable timely switching to more effective therapies in order to prevent time-resource waste and minimize toxicities. Methods: Patients diagnosed with unresectable or metastatic, progressive, well-differentiated, receptor-positive GEP-NETs who received 4 sessions of [¹⁷⁷Lu]Lu-DOTATATE were retrospectively selected. Using SPECT/CT images taken at the end of treatment sessions, we counted all visible tumors and measured their largest diameters to calculate the tumor burden score (TBS). Up to 4 target lesions were selected and semiautomatically segmented. Target lesion peak counts and spleen peak counts were measured, and normalized peak counts were calculated. Changes in TBS (TBS) and changes in normalized peak count (nPC) throughout treatment sessions in relation to the first treatment session were calculated. Treatment responses were evaluated using third-month CT and were binarized as progressive disease (PD) or non-PD. Results: Twenty-seven patients were included (7 PD, 20 non-PD). Significant differences were observed in TBS_second-first, TBS_third-first, and TBS_fourth-first (where second-first, third-first, and fourth-first denote scan number between the second and first, third and first, and fourth and first [¹⁷⁷Lu]Lu-DOTATATE treatment cycles), respectively) between the PD and non-PD groups (median, 0.043 vs. –0.049, 0.08 vs. –0.116, and 0.109 vs. –0.123 [P = 0.023, P = 0.002, and P < 0.001], respectively). nPC_second-first showed significant group differences (mean, –0.107 vs. –0.282; P = 0.033); nPC_third-first and nPC_fourth-first did not reach statistical significance (mean, –0.122 vs. –0.312 and –0.183 vs. –0.405 [P = 0.117 and 0.067], respectively). At the optimal threshold, TBS_fourth-first exhibited an area under the curve (AUC) of 0.957, achieving 100% sensitivity and 80% specificity. TBS_second-first and TBS_third-first reached AUCs of 0.793 and 0.893, sensitivities of 71.4%, and specificities of 85% and 95%, respectively. nPC_second-first, nPC_third-first, and nPC_fourth-first showed AUCs of 0.764, 0.693, and 0.679; sensitivities of 71.4%, 71.4%, and 100%; and specificities of 75%, 70%, and 35%, respectively. Conclusion: TBS and nPC can predict [¹⁷⁷Lu]Lu-DOTATATE response by the second treatment session.

Unspecific bone uptake (UBU) related to [¹⁸F]PSMA-1007 PET/CT imaging represents a clinical challenge. We aimed to assess whether a combination of clinical, biochemical, and imaging parameters could predict skeletal metastases in patients with [¹⁸F]PSMA-1007 bone focal uptake, aiding in result interpretation. Methods: We retrospectively analyzed [¹⁸F]PSMA-1007 PET/CT performed in hormone-sensitive prostate cancer (PCa) patients at 3 tertiary-level cancer centers. A fourth center was involved in performing an external validation. For each, a volume of interest was drawn using a threshold method to extract SUV_max, SUV_mean, PSMA tumor volume, and total lesion PSMA. The same volume of interest was applied to CT images to calculate the mean Hounsfield units (HU_mean) and maximum Hounsfield units. Clinical and laboratory data were collected from electronic medical records. A composite reference standard, including follow-up histopathology, biochemistry, and imaging data, was used to distinguish between PCa bone metastases and UBU. PET readers with less (n = 2) or more (n = 2) experience, masked to the reference standard, were asked to visually rate a subset of focal bone uptake (n = 178) as PCa metastases or not. Results: In total, 448 bone [¹⁸F]PSMA-1007 focal uptake specimens were identified in 267 PCa patients. Of the 448 uptake samples, 188 (41.9%) corresponded to PCa metastases. Ongoing androgen deprivation therapy at PET/CT (P < 0.001) with determination of SUV_max (P < 0.001) and HU_mean (P < 0.001) independently predicted bone metastases. A composite prediction score, the bone uptake metastatic probability (BUMP) score, achieving an area under the receiver-operating-characteristic curve (AUC) of 0.87, was validated through a 10-fold internal and external validation (n = 89 bone uptake, 51% metastatic; AUC, 0.92). The BUMP score’s AUC was significantly higher than that of HU_mean (AUC, 0.62) and remained high among lesions with HU_mean in the first tertile (AUC, 0.80). A decision-curve analysis showed a higher net benefit with the score. Compared with the visual assessment, the BUMP score provided added value in terms of specificity in less-experienced PET readers (88% vs. 54%, P < 0.001). Conclusion: The BUMP score accurately distinguished UBU from bone metastases in PCa patients with [¹⁸F]PSMA-1007 focal bone uptake at PET imaging, offering additional value compared with the simple assessment of the osteoblastic CT correlate. Its use could help clinicians interpret imaging results, particularly those with less experience, potentially reducing the risk of patient overstaging.

Neoadjuvant therapy in patients with locally advanced rectal cancer (LARC) has achieved good pathologic complete response (pCR) rates, potentially eliminating the need for surgical intervention. This study investigated preoperative methods for predicting pCR after neoadjuvant short-course radiotherapy (SCRT) combined with immunochemotherapy. Methods: Treatment-naïve patients with histologically confirmed LARC were enrolled from February 2023 to July 2023. Before surgery, the patients received neoadjuvant SCRT followed by 2 cycles of capecitabine and oxaliplatin plus camrelizumab. ⁶⁸Ga-labeled fibroblast activation protein inhibitor ([⁶⁸Ga]Ga-FAPI-04) PET/MRI, [¹⁸F]FDG PET/CT, and contrast-enhanced MRI were performed before treatment initiation and before surgery in each patient. PET and MRI features and the size and number of lesions were also collected from each scan. Each parameter’s sensitivity, specificity, and diagnostic cutoff were derived via receiver-operating-characteristic curve analysis. Results: Twenty eligible patients (13 men, 7 women; mean age, 60.2 y) were enrolled and completed the entire trial, and all patients had proficient mismatch repair or microsatellite-stable LARC. A postoperative pCR was achieved in 9 patients (45.0%). In the visual evaluation, both [⁶⁸Ga]Ga-FAPI-04 PET/MRI and [¹⁸F]FDG PET/CT were limited to forecasting pCR. Contrast-enhanced MRI had a low sensitivity of 55.56% to predict pCR. In the quantitative evaluation, [⁶⁸Ga]Ga-FAPI-04 change in SUL_peak percentage, where SUL_peak is SUV_peak standardized by lean body mass, had the largest area under the curve (0.929) with high specificity (sensitivity, 77.78%; specificity, 100.0%; cutoff, 63.92%). Conclusion: [⁶⁸Ga]Ga-FAPI-04 PET/MRI is a promising imaging modality for predicting pCR after SCRT combined with immunochemotherapy. The SUL_peak decrease exceeding 63.92% may provide valuable guidance in selecting patients who can forgo surgery after neoadjuvant therapy.

A Credit-fuelled Economic Recovery Stores Up Trouble for Turkey Expert comment sysadmin 17 February 2020

Turkey is repeating the mistakes that led to the 2018 lira crisis and another freefall for the currency may not be far off.

Since the 2018 economic crisis, when the value of the lira plummeted and borrowing costs soared, Turkey’s economy has achieved a miraculous ‘V-shaped’ economic recovery from a recession lasting three quarters to a return back to quarterly growth above 1 per cent in the first three months of 2019.

But this quick turnaround has been built on vast amounts of cheap credit used to re-stimulate a consumption and construction boom. This so-called ‘triple C’ economy generated a rapid growth spurt akin to a modestly able professional sprinter injected with steroids.

This has made the currency vulnerable. The lira has steadily depreciated by 11 per cent against the US dollar since the beginning of 2019 and crossed the rate of 6 lira versus the US dollar on 7 February. And there are further warning signs on the horizon.

Credit bonanza

Statistics reveal that Turkish domestic credit grew by around 13 per cent on average throughout 2019. The credit bonanza is still ongoing. Mortgage-backed home sales jumped by a record high of 600 per cent last December alone and the 2019 budget deficit catapulted by 70 per cent due to higher government spending.

Turkey’s central bank fuelled this credit expansion by cutting interest rates aggressively to below inflation and, since the start of this year, purchasing lira-denominated bonds equivalent to around one-third of total acquisitions last year to push yields lower.

Equally, it has linked bank lending to reserve requirements – the money that banks have to keep at the central bank – to boost borrowings via state and private banks. Banks with a ‘real’ loan growth (including inflation) of between 5 and 15 per cent enjoy a 2 per cent reserve ratio on most lira deposits, which authorities adjusted from an earlier band of 10-20 per cent that did not consider double-digit inflation.

Cumulatively, bond purchases (effectively quantitative easing) and reserve management policies have also contributed to eased credit conditions.

Commercial banks have also reduced deposit rates on lira accounts to less than inflation to encourage consumption over saving. Together with low lending rates, the boost to the economy has flowed via mortgages, credit card loans, vehicle leasing transactions and general business borrowings.

Accordingly, stimulus is at the forefront of the government’s economic approach, as it was in 2017 and 2018. It does not seem to be implementing structural change to re-orient growth away from consumption towards productivity.

In addition, governance is, again, a central issue. President Recep Tayyip Erdogan’s near total monopolization of policymaking means he guides all domestic and external policies. He forced out the previous central bank governor, Murat Cetinkaya, in July 2019 because he did not share the president’s desire for an accelerated pace of interest rate reductions.

New challenges

Despite the similarities, the expected future financial turbulence will be materially different from its 2018 predecessor in four crucial respects.

Firstly, foreign investors will only be marginally involved. Turkey has shut out foreign investors since 2018 from lira-denominated assets by restricting lira swap arrangements. Unsurprisingly, the non-resident holdings of lira bonds has plummeted from 20 per cent in 2018 to less than 10 per cent today.

Secondly, the Turkish government has recently introduced indirect domestic capital controls by constraining most commercial transactions to the lira rather than to the US dollar or euro to reduce foreign currency demand in light of short-term external debt obligations of $191 billion.

Thirdly, the Turkish state banks are intervening quite regularly to soften Lira volatility, thereby transitioning from a ‘free float’ to a ‘managed float’. So far, they have spent over $37 billion over the last two years in a futile effort to buttress the lira. This level of involvement in currency markets cannot be maintained.

Fourthly, the Turkish state is being far more interventionist in the Turkish stock exchange and bond markets to keep asset prices elevated. Government-controlled local funds have participated in the Borsa Istanbul and state banks in sovereign debt to sustain rallies or reverse a bear market.

All these measures have one running idea: exclude foreign investors and no crisis will recur. Yet, when the credit boom heads to a downturn sooner or later, Turks will probably escalate lira conversions to US dollars; 51 per cent of all Turkish bank deposits are already dollar-denominated and the figure is still rising.

If Turkey’s limited foreign reserves cannot satisfy the domestic dollar demand, the government may have to impose comprehensive capital controls and allow for a double digit depreciation in the value of the lira to from its current level, with significant repercussions on Turkey’s political stability and economic climate.

To avoid this scenario, it needs to restore fiscal and monetary prudence, deal the with the foreign debt overhang in the private sector and focus on productivity-improving economic and institutional reforms to gain the confidence of global financial markets and Turks alike.

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