Goenka, Ajit H.

Pancreatic cancer (PC), characterized by a dismal 5-year survival rate of approximately 12%, remains one of the most aggressive cancers. Majority of cases are identified at advanced stages, which are beyond the scope of surgical resection. Importantly, while the overall prognosis for PC is poor, localized stages of the disease can significantly enhance survival chances because of the potential for curative interventions. We explore the evolution of early detection strategies, including screening methods for high-risk individuals, the yield of diagnostic tests, and the impact of emerging technologies. Special emphasis is given to the role of artificial intelligence in overcoming the limitations of standard imaging practices, thereby refining diagnostic accuracy, and predicting patient outcomes. Our review synthesizes current controversies and addresses the technological advancements that could potentially shift the paradigm toward improved survival rates for patients with PC.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive and lethal malignancy. Surgical resection is the only curative modality combined with neoadjuvant chemotherapy to improve survival. Given the limitations of traditional responses such as cross-sectional imaging (CT/MRI) or tumor markers, carbohydrate antigen 19-9 (CA19-9), the 2023 National Comprehensive Cancer Network guidelines included 18F-fluorodeoxyglucose (FDG)-PET as an adjunct to assess response to neoadjuvant chemotherapy. There are common misconceptions on the metabolic activity (tumor avidity) in PDAC so we aimed to describe the baseline characteristics and use of FDG-PET in a cohort of treatment-naive patients with PDAC. STUDY DESIGN: A single-center retrospective study was conducted capturing all biopsy-proven, treatment-naive patients with PDAC who underwent either baseline FDG-PET/CT or FDG-PET/MRI imaging between 2008 and 2023. Baseline FDG-PET characteristics were collected, including primary tumors’ maximum standardized uptake value defined as metabolic activity (FDG uptake) of tumor compared with surrounding pancreatic parenchymal background, and the identification of extrapancreatic metastatic disease. RESULTS: We identified 1,095 treatment-naive patients with PDAC who underwent baseline FDG-PET imaging at diagnosis. CA19-9 was elevated in 76% of patients. Overall, 96.3% (1,054) of patients had FDG-avid tumors with a median maximum standardized uptake value of 6.4. FDG-PET also identified suspicious extrapancreatic metastatic lesions in 50% of patients, with a higher proportion (p < 0.001) in PET/MRI (59.9%) vs PET/CT (44.3%). After controlling for CA19-9 elevation, PET/MRI was superior in detection of extrapancreatic lesions compared with PET/CT. CONCLUSIONS: FDG-PET has significant use in PDAC as a baseline imaging modality earlier neoadjuvant therapy given the majority of tumors are FDG-avid. FDG-PET can identify additional extrapancreatic suspicious lesions allowing for optimal initial staging, with PET/MRI having increased sensitivity over PET/CT.

AbstractBackgroundAnimal models and human data have suggested macrophage‐driven immune dysregulation in diabetic gastroparesis (DG). Translocator protein (TSPO) upregulation has been suggested to indicate activated state of macrophages and ER176 is a high affinity third generation TSPO‐specific radioligand. The aim of this study was to determine feasibility of dynamic 11C‐ER 176 PET to identify macrophage activation in DG.MethodsTwelve patients, all females, were recruited (4 DG, 4 diabetics, and 4 healthy volunteers) for 11C‐ER 176 PET/CT scanning. The standardized uptake value (SUVmax) in the gastric fundus, body, pylorus, and descending part of the duodenum were compared between three groups using Kruskal‐Wallis test to perform the comparisons, and a p‐value of 0.05 was considered statistically significant.Key ResultsAge was comparable among the three groups with a median of 53 years. The uptake was higher in pylorus in diabetics compared to DG and healthy (SUVmax healthy 4.6 ± 0.2, diabetics 8.4 ± 4.1, DG 5.5 ± 1.0, p = 0.04). The uptake was similar in gastric fundus (9.0 ± 1.6, 13.1 ± 8.3, 7.8 ± 1.9 respectively, p = 0.3), body (7.7 ± 1.9, 13 ± 9.2, 7.8 ± 1.9 respectively, p = 0.8), and duodenum (6.2 ± 2.1, 9.5 ± 6.8, 7.0 ± 1.8 respectively, p = 0.6). No correlation was observed between SUVmax uptake and either HbA1C or fasting blood glucose.Conclusions and InferencesFemale diabetic gastroparesis patients did not demonstrate increased TSPO ligand 11C‐ER 176 uptake in the stomach. Possible explanations include lack of specificity of ligand for specific macrophage phenotypes in DG, sex effect, or small sample size. Further studies investigating non‐invasive ways of analyzing immune dysregulation in neurogastrointestinal disorders are warranted.

Background: Neoadjuvant therapy (NAT) is used in borderline resectable/locally advanced (BR/LA) pancreatic ductal adenocarcinoma (PDAC). Anatomic imaging (CT/MRI) poorly predicts response, and biochemical (CA 19-9) markers are not useful (nonsecretors/nonelevated) in many patients. Pathologic response highly predicts survival post-NAT, but is only known postoperatively. Because metabolic imaging (FDG-PET) reveals primary tumor viability, this study aimed to evaluate our experience with preoperative FDG-PET in patients with BR/LA PDAC in predicting NAT response and survival. Methods: We reviewed all patients with resected BR/LA PDAC who underwent NAT with FDG-PET within 60 days of resection. Pre- and post-NAT metabolic (FDG-PET) and biochemical (CA 19-9) responses were dichotomized in addition to pathologic responses. We compared post-NAT metabolic and biochemical responses as preoperative predictors of pathologic responses and recurrence-free survival (RFS) and overall survival (OS). Results: We identified 202 eligible patients. Post-NAT, 58% of patients had optimization of CA 19-9 levels. Major metabolic and pathologic responses were present in 51% and 38% of patients, respectively. Median RFS and OS times were 21 and 48.7 months, respectively. Metabolic response was superior to biochemical response in predicting pathologic response (area under the curve, 0.86 vs 0.75; P <.001). Metabolic response was the only univariate preoperative predictor of OS (odds ratio, 0.25; 95% CI, 0.13–0.40), and was highly correlated ( P =.001) with pathologic response as opposed to biochemical response alone. After multivariate adjustment, metabolic response was the single largest independent preoperative predictor ( P <.001) for pathologic response (odds ratio, 43.2; 95% CI, 16.9–153.2), RFS (hazard ratio, 0.37; 95% CI, 0.2–0.6), and OS (hazard ratio, 0.21; 95% CI, 0.1–0.4). Conclusions: Among patients with post-NAT resected BR/LA PDAC, FDG-PET highly predicts pathologic response and survival, superior to biochemical responses alone. Given the poor ability of anatomic imaging or biochemical markers to assess NAT responses in these patients, FDG-PET is a preoperative metric of NAT efficacy, thereby allowing potential therapeutic alterations and surgical treatment decisions. We suggest that FDG-PET should be an adjunct and recommended modality during the NAT phase of care for these patients.

Purpose This study aimed to compare accuracy and efficiency of a convolutional neural network (CNN)–enhanced workflow for pancreas segmentation versus radiologists in the context of interreader reliability. Methods Volumetric pancreas segmentations on a data set of 294 portal venous computed tomographies were performed by 3 radiologists (R1, R2, and R3) and by a CNN. Convolutional neural network segmentations were reviewed and, if needed, corrected (“corrected CNN [c-CNN]” segmentations) by radiologists. Ground truth was obtained from radiologists' manual segmentations using simultaneous truth and performance level estimation algorithm. Interreader reliability and model's accuracy were evaluated with Dice-Sorenson coefficient (DSC) and Jaccard coefficient (JC). Equivalence was determined using a two 1-sided test. Convolutional neural network segmentations below the 25th percentile DSC were reviewed to evaluate segmentation errors. Time for manual segmentation and c-CNN was compared. Results Pancreas volumes from 3 sets of segmentations (manual, CNN, and c-CNN) were noninferior to simultaneous truth and performance level estimation–derived volumes [76.6 cm3 (20.2 cm3), P < 0.05]. Interreader reliability was high (mean [SD] DSC between R2-R1, 0.87 [0.04]; R3-R1, 0.90 [0.05]; R2-R3, 0.87 [0.04]). Convolutional neural network segmentations were highly accurate (DSC, 0.88 [0.05]; JC, 0.79 [0.07]) and required minimal-to-no corrections (c-CNN: DSC, 0.89 [0.04]; JC, 0.81 [0.06]; equivalence, P < 0.05). Undersegmentation (n = 47 [64%]) was common in the 73 CNN segmentations below 25th percentile DSC, but there were no major errors. Total inference time (minutes) for CNN was 1.2 (0.3). Average time (minutes) taken by radiologists for c-CNN (0.6 [0.97]) was substantially lower compared with manual segmentation (3.37 [1.47]; savings of 77.9%–87% [P < 0.0001]). Conclusions Convolutional neural network–enhanced workflow provides high accuracy and efficiency for volumetric pancreas segmentation on computed tomography.

Abstract Background: Fibroblast activation protein (FAP) is a membrane-bound protease that is highly expressed on the surface of cancer-associated fibroblasts (CAFs) present in the tumor microenvironment of most epithelial cancers. With limited expression observed in normal tissues, FAP is a promising therapeutic and imaging target for delivery of radionuclides to cancer tissues. FAP-2286, a low-molecular-weight cyclic peptide that potently and selectively binds to FAP, is attached to a linker and tetraazacyclododecane tetraacetic acid (DOTA) cage that can be used to conjugate radionuclides such as lutetium-177 (177Lu) or gallium-68 (68Ga) for therapeutic or imaging applications, respectively. 177Lu-FAP-2286 has demonstrated antitumor activity in preclinical studies. The LuMIERE study (NCT04939610) is the first phase 1/2 clinical trial of an FAP-targeted radionuclide therapy evaluating 177Lu-FAP-2286 in patients with FAP-expressing solid tumors that are identified with the imaging agent 68Ga-FAP-2286. Methods: Eligible adult patients with advanced or metastatic solid tumors and measurable disease (per RECIST v1.1) will be selected for treatment with 177Lu-FAP-2286 on the basis of FAP expression using 68Ga-FAP-2286. In phase 1, tumors must be refractory to or have progressed following prior treatment, with no satisfactory alternative treatment options. Phase 1 includes dose escalation of 177Lu-FAP-2286, starting at 3.7 GBq to a maximum of 9.25 GBq. Patients may receive up to 6 cycles of 177Lu-FAP-2286 administered on day 1 of each 6-week cycle. Three to 12 patients will be treated at each dose level in the dose-escalation portion. Tolerability will be assessed across multiple doses for determination of a recommended phase 2 dose (RP2D), which may be further evaluated in a phase 1 dose-expansion portion. FDG-PET/CT scans will be collected prior to treatment, and patients will be imaged by planar and SPECT/CT scans at multiple time points to calculate organ and tumor dosimetry to determine absorbed radiation dose. Disease status will be assessed per RECIST v1.1 every 6 weeks. The primary objective of phase 1 is to evaluate the safety of 177Lu-FAP-2286 and determine the RP2D. Secondary objectives include the assessment of radiation dosimetry, pharmacokinetics, and preliminary efficacy of 177Lu-FAP-2286 and the evaluation of safety and tumor uptake of 68Ga-FAP-2286. Phase 2 will evaluate the efficacy, safety, and dosimetry of 177Lu-FAP-2286 in patients with select FAP-expressing solid tumors. Citation Format: Jonathan McConathy, Mallika Dhawan, Ajit H. Goenka, Emerson A. Lim, Yusuf Menda, Beth Chasen, Moh'd Khushman, Akiva Mintz, Yousef Zakharia, John J. Sunderland, Owen Bowles, Jim Xiao, Andrew D. Simmons, Kenton Wride, Aaron Enke, Thomas A. Hope. LuMIERE: A phase 1/2 study investigating safety, pharmacokinetics, dosimetry, and preliminary antitumor activity of 177Lu-FAP-2286 in patients with advanced or metastatic solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr CT251.

Prostate‐specific membrane antigen (PSMA) is a validated target for molecular diagnostics and targeted radionuclide therapy. Our purpose was to evaluate PSMA expression in hepatocellular carcinoma (HCC), cholangiocarcinoma (CCA), and hepatic adenoma (HCA); investigate the genetic pathways in HCC associated with PSMA expression; and evaluate HCC detection rate with 68Ga‐PSMA‐11 positron emission tomography (PET). In phase 1, PSMA immunohistochemistry (IHC) on HCC (n = 148), CCA (n = 111), and HCA (n = 78) was scored. In a subset (n = 30), messenger RNA (mRNA) data from the Cancer Genome Atlas HCC RNA sequencing were correlated with PSMA expression. In phase 2, 68Ga‐PSMA‐11 PET was prospectively performed in patients with treatment‐naïve HCC on a digital PET scanner using cyclotron‐produced 68Ga. Uptake was graded qualitatively and semi‐quantitatively using standard metrics. On IHC, PSMA expression was significantly higher in HCC compared with CCA and HCA (P < 0.0001); 91% of HCCs (n = 134) expressed PSMA, which principally localized to tumor‐associated neovasculature. Higher tumor grade was associated with PSMA expression (P = 0.012) but there was no association with tumor size (P = 0.14), fibrosis (P = 0.35), cirrhosis (P = 0.74), hepatitis B virus (P = 0.31), or hepatitis C virus (P = 0.15). Overall survival tended to be longer in patients without versus with PSMA expression (median overall survival: 4.2 vs. 1.9 years; P = 0.273). FGF14 (fibroblast growth factor 14) mRNA expression correlated positively (rho = 0.70; P = 1.70 × 10‐5) and MAD1L1 (Mitotic spindle assembly checkpoint protein MAD1) correlated negatively with PSMA expression (rho = −0.753; P = 1.58 × 10‐6). Of the 190 patients who met the eligibility criteria, 31 patients with 39 HCC lesions completed PET; 64% (n = 25) lesions had pronounced 68Ga‐PSMA‐11 standardized uptake value: SUVmax (median [range] 9.2 [4.9‐28.4]), SUVmean 4.7 (2.4‐12.7), and tumor‐to‐liver background ratio 2 (1.1‐11). Conclusion: Ex vivo expression of PSMA in neovasculature of HCC translates to marked tumor avidity on 68Ga‐PSMA‐11 PET, which suggests that PSMA has the potential as a theranostic target in patients with HCC.